Upload folder using huggingface_hub
Browse files- lumina_ar-1_diffuser-6_step-600/config.json +47 -0
- lumina_ar-1_diffuser-6_step-600/model-00001-of-00002.safetensors +3 -0
- lumina_ar-1_diffuser-6_step-600/model-00002-of-00002.safetensors +3 -0
- lumina_ar-1_diffuser-6_step-600/model.safetensors.index.json +1160 -0
- lumina_ar-1_diffuser-6_step-600/optimizer.pt +3 -0
- lumina_ar-1_diffuser-6_step-600/rng_state.pth +3 -0
- lumina_ar-1_diffuser-6_step-600/scheduler.pt +3 -0
- lumina_ar-1_diffuser-6_step-600/trainer_state.json +4233 -0
- lumina_ar-1_diffuser-6_step-600/training_args.bin +3 -0
lumina_ar-1_diffuser-6_step-600/config.json
ADDED
@@ -0,0 +1,47 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"ar_steps": 1,
|
3 |
+
"architectures": [
|
4 |
+
"DiffLLMDiffusion"
|
5 |
+
],
|
6 |
+
"attention_dropout": 0.0,
|
7 |
+
"bos_token_id": 151643,
|
8 |
+
"eos_token_id": 151645,
|
9 |
+
"hidden_act": "silu",
|
10 |
+
"hidden_size": 1536,
|
11 |
+
"img_cross_attention_dim": 2048,
|
12 |
+
"img_diffuser_depth": 6,
|
13 |
+
"img_ffn_dim_multiplier": null,
|
14 |
+
"img_hidden_size": 2304,
|
15 |
+
"img_multiple_of": 256,
|
16 |
+
"img_norm_eps": 1e-05,
|
17 |
+
"img_num_attention_heads": 32,
|
18 |
+
"img_num_kv_heads": 8,
|
19 |
+
"img_qk_norm": true,
|
20 |
+
"in_channels": 4,
|
21 |
+
"initializer_range": 0.02,
|
22 |
+
"inject_img_diffuser": true,
|
23 |
+
"input_size": 32,
|
24 |
+
"intermediate_size": 8960,
|
25 |
+
"max_position_embeddings": 32768,
|
26 |
+
"max_window_layers": 28,
|
27 |
+
"model_type": "qwen2",
|
28 |
+
"non_linearity": 1,
|
29 |
+
"norm_elementwise_affine": true,
|
30 |
+
"num_attention_heads": 12,
|
31 |
+
"num_hidden_layers": 28,
|
32 |
+
"num_key_value_heads": 2,
|
33 |
+
"patch_size": 2,
|
34 |
+
"rms_norm_eps": 1e-06,
|
35 |
+
"rope_scaling": null,
|
36 |
+
"rope_theta": 1000000.0,
|
37 |
+
"sample_size": 128,
|
38 |
+
"sampling_steps": 28,
|
39 |
+
"sliding_window": null,
|
40 |
+
"tie_word_embeddings": true,
|
41 |
+
"torch_dtype": "bfloat16",
|
42 |
+
"transformers_version": "4.47.0",
|
43 |
+
"use_cache": true,
|
44 |
+
"use_sliding_window": false,
|
45 |
+
"vae_path": "stabilityai/sdxl-vae",
|
46 |
+
"vocab_size": 151936
|
47 |
+
}
|
lumina_ar-1_diffuser-6_step-600/model-00001-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:99c709e22a9cc3ab77a91194ce23c20e35bf17102f009b6f482b7e162f1a15d8
|
3 |
+
size 4713645232
|
lumina_ar-1_diffuser-6_step-600/model-00002-of-00002.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f171d55a943427525a20731896dcee1d6f3b1e7b1507b14901967ddeda880cba
|
3 |
+
size 634084454
|
lumina_ar-1_diffuser-6_step-600/model.safetensors.index.json
ADDED
@@ -0,0 +1,1160 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"metadata": {
|
3 |
+
"total_size": 5347601966
|
4 |
+
},
|
5 |
+
"weight_map": {
|
6 |
+
"embed_tokens.weight": "model-00001-of-00002.safetensors",
|
7 |
+
"img2text.bias": "model-00001-of-00002.safetensors",
|
8 |
+
"img2text.weight": "model-00001-of-00002.safetensors",
|
9 |
+
"img_diffuser.caption_embedder.0.bias": "model-00001-of-00002.safetensors",
|
10 |
+
"img_diffuser.caption_embedder.0.weight": "model-00001-of-00002.safetensors",
|
11 |
+
"img_diffuser.caption_embedder.1.bias": "model-00001-of-00002.safetensors",
|
12 |
+
"img_diffuser.caption_embedder.1.weight": "model-00001-of-00002.safetensors",
|
13 |
+
"img_diffuser.layers.0.attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
14 |
+
"img_diffuser.layers.0.attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
15 |
+
"img_diffuser.layers.0.attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
16 |
+
"img_diffuser.layers.0.attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
17 |
+
"img_diffuser.layers.0.attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
18 |
+
"img_diffuser.layers.0.attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
19 |
+
"img_diffuser.layers.0.attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
20 |
+
"img_diffuser.layers.0.attn2.norm_k.bias": "model-00001-of-00002.safetensors",
|
21 |
+
"img_diffuser.layers.0.attn2.norm_k.weight": "model-00001-of-00002.safetensors",
|
22 |
+
"img_diffuser.layers.0.attn2.norm_q.bias": "model-00001-of-00002.safetensors",
|
23 |
+
"img_diffuser.layers.0.attn2.norm_q.weight": "model-00001-of-00002.safetensors",
|
24 |
+
"img_diffuser.layers.0.attn2.to_k.weight": "model-00001-of-00002.safetensors",
|
25 |
+
"img_diffuser.layers.0.attn2.to_out.0.weight": "model-00001-of-00002.safetensors",
|
26 |
+
"img_diffuser.layers.0.attn2.to_q.weight": "model-00001-of-00002.safetensors",
|
27 |
+
"img_diffuser.layers.0.attn2.to_v.weight": "model-00001-of-00002.safetensors",
|
28 |
+
"img_diffuser.layers.0.feed_forward.linear_1.weight": "model-00001-of-00002.safetensors",
|
29 |
+
"img_diffuser.layers.0.feed_forward.linear_2.weight": "model-00001-of-00002.safetensors",
|
30 |
+
"img_diffuser.layers.0.feed_forward.linear_3.weight": "model-00001-of-00002.safetensors",
|
31 |
+
"img_diffuser.layers.0.ffn_norm1.weight": "model-00001-of-00002.safetensors",
|
32 |
+
"img_diffuser.layers.0.ffn_norm2.weight": "model-00001-of-00002.safetensors",
|
33 |
+
"img_diffuser.layers.0.gate": "model-00001-of-00002.safetensors",
|
34 |
+
"img_diffuser.layers.0.norm1.linear.bias": "model-00001-of-00002.safetensors",
|
35 |
+
"img_diffuser.layers.0.norm1.linear.weight": "model-00001-of-00002.safetensors",
|
36 |
+
"img_diffuser.layers.0.norm1.norm.weight": "model-00001-of-00002.safetensors",
|
37 |
+
"img_diffuser.layers.0.norm1_context.weight": "model-00001-of-00002.safetensors",
|
38 |
+
"img_diffuser.layers.0.norm2.weight": "model-00001-of-00002.safetensors",
|
39 |
+
"img_diffuser.layers.1.attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
40 |
+
"img_diffuser.layers.1.attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
41 |
+
"img_diffuser.layers.1.attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
42 |
+
"img_diffuser.layers.1.attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
43 |
+
"img_diffuser.layers.1.attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
44 |
+
"img_diffuser.layers.1.attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
45 |
+
"img_diffuser.layers.1.attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
46 |
+
"img_diffuser.layers.1.attn2.norm_k.bias": "model-00001-of-00002.safetensors",
|
47 |
+
"img_diffuser.layers.1.attn2.norm_k.weight": "model-00001-of-00002.safetensors",
|
48 |
+
"img_diffuser.layers.1.attn2.norm_q.bias": "model-00001-of-00002.safetensors",
|
49 |
+
"img_diffuser.layers.1.attn2.norm_q.weight": "model-00001-of-00002.safetensors",
|
50 |
+
"img_diffuser.layers.1.attn2.to_k.weight": "model-00001-of-00002.safetensors",
|
51 |
+
"img_diffuser.layers.1.attn2.to_out.0.weight": "model-00001-of-00002.safetensors",
|
52 |
+
"img_diffuser.layers.1.attn2.to_q.weight": "model-00001-of-00002.safetensors",
|
53 |
+
"img_diffuser.layers.1.attn2.to_v.weight": "model-00001-of-00002.safetensors",
|
54 |
+
"img_diffuser.layers.1.feed_forward.linear_1.weight": "model-00001-of-00002.safetensors",
|
55 |
+
"img_diffuser.layers.1.feed_forward.linear_2.weight": "model-00001-of-00002.safetensors",
|
56 |
+
"img_diffuser.layers.1.feed_forward.linear_3.weight": "model-00001-of-00002.safetensors",
|
57 |
+
"img_diffuser.layers.1.ffn_norm1.weight": "model-00001-of-00002.safetensors",
|
58 |
+
"img_diffuser.layers.1.ffn_norm2.weight": "model-00001-of-00002.safetensors",
|
59 |
+
"img_diffuser.layers.1.gate": "model-00001-of-00002.safetensors",
|
60 |
+
"img_diffuser.layers.1.norm1.linear.bias": "model-00001-of-00002.safetensors",
|
61 |
+
"img_diffuser.layers.1.norm1.linear.weight": "model-00001-of-00002.safetensors",
|
62 |
+
"img_diffuser.layers.1.norm1.norm.weight": "model-00001-of-00002.safetensors",
|
63 |
+
"img_diffuser.layers.1.norm1_context.weight": "model-00001-of-00002.safetensors",
|
64 |
+
"img_diffuser.layers.1.norm2.weight": "model-00001-of-00002.safetensors",
|
65 |
+
"img_diffuser.layers.2.attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
66 |
+
"img_diffuser.layers.2.attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
67 |
+
"img_diffuser.layers.2.attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
68 |
+
"img_diffuser.layers.2.attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
69 |
+
"img_diffuser.layers.2.attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
70 |
+
"img_diffuser.layers.2.attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
71 |
+
"img_diffuser.layers.2.attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
72 |
+
"img_diffuser.layers.2.attn2.norm_k.bias": "model-00001-of-00002.safetensors",
|
73 |
+
"img_diffuser.layers.2.attn2.norm_k.weight": "model-00001-of-00002.safetensors",
|
74 |
+
"img_diffuser.layers.2.attn2.norm_q.bias": "model-00001-of-00002.safetensors",
|
75 |
+
"img_diffuser.layers.2.attn2.norm_q.weight": "model-00001-of-00002.safetensors",
|
76 |
+
"img_diffuser.layers.2.attn2.to_k.weight": "model-00001-of-00002.safetensors",
|
77 |
+
"img_diffuser.layers.2.attn2.to_out.0.weight": "model-00001-of-00002.safetensors",
|
78 |
+
"img_diffuser.layers.2.attn2.to_q.weight": "model-00001-of-00002.safetensors",
|
79 |
+
"img_diffuser.layers.2.attn2.to_v.weight": "model-00001-of-00002.safetensors",
|
80 |
+
"img_diffuser.layers.2.feed_forward.linear_1.weight": "model-00001-of-00002.safetensors",
|
81 |
+
"img_diffuser.layers.2.feed_forward.linear_2.weight": "model-00001-of-00002.safetensors",
|
82 |
+
"img_diffuser.layers.2.feed_forward.linear_3.weight": "model-00001-of-00002.safetensors",
|
83 |
+
"img_diffuser.layers.2.ffn_norm1.weight": "model-00001-of-00002.safetensors",
|
84 |
+
"img_diffuser.layers.2.ffn_norm2.weight": "model-00001-of-00002.safetensors",
|
85 |
+
"img_diffuser.layers.2.gate": "model-00001-of-00002.safetensors",
|
86 |
+
"img_diffuser.layers.2.norm1.linear.bias": "model-00001-of-00002.safetensors",
|
87 |
+
"img_diffuser.layers.2.norm1.linear.weight": "model-00001-of-00002.safetensors",
|
88 |
+
"img_diffuser.layers.2.norm1.norm.weight": "model-00001-of-00002.safetensors",
|
89 |
+
"img_diffuser.layers.2.norm1_context.weight": "model-00001-of-00002.safetensors",
|
90 |
+
"img_diffuser.layers.2.norm2.weight": "model-00001-of-00002.safetensors",
|
91 |
+
"img_diffuser.layers.3.attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
92 |
+
"img_diffuser.layers.3.attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
93 |
+
"img_diffuser.layers.3.attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
94 |
+
"img_diffuser.layers.3.attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
95 |
+
"img_diffuser.layers.3.attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
96 |
+
"img_diffuser.layers.3.attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
97 |
+
"img_diffuser.layers.3.attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
98 |
+
"img_diffuser.layers.3.attn2.norm_k.bias": "model-00001-of-00002.safetensors",
|
99 |
+
"img_diffuser.layers.3.attn2.norm_k.weight": "model-00001-of-00002.safetensors",
|
100 |
+
"img_diffuser.layers.3.attn2.norm_q.bias": "model-00001-of-00002.safetensors",
|
101 |
+
"img_diffuser.layers.3.attn2.norm_q.weight": "model-00001-of-00002.safetensors",
|
102 |
+
"img_diffuser.layers.3.attn2.to_k.weight": "model-00001-of-00002.safetensors",
|
103 |
+
"img_diffuser.layers.3.attn2.to_out.0.weight": "model-00001-of-00002.safetensors",
|
104 |
+
"img_diffuser.layers.3.attn2.to_q.weight": "model-00001-of-00002.safetensors",
|
105 |
+
"img_diffuser.layers.3.attn2.to_v.weight": "model-00001-of-00002.safetensors",
|
106 |
+
"img_diffuser.layers.3.feed_forward.linear_1.weight": "model-00001-of-00002.safetensors",
|
107 |
+
"img_diffuser.layers.3.feed_forward.linear_2.weight": "model-00001-of-00002.safetensors",
|
108 |
+
"img_diffuser.layers.3.feed_forward.linear_3.weight": "model-00001-of-00002.safetensors",
|
109 |
+
"img_diffuser.layers.3.ffn_norm1.weight": "model-00001-of-00002.safetensors",
|
110 |
+
"img_diffuser.layers.3.ffn_norm2.weight": "model-00001-of-00002.safetensors",
|
111 |
+
"img_diffuser.layers.3.gate": "model-00001-of-00002.safetensors",
|
112 |
+
"img_diffuser.layers.3.norm1.linear.bias": "model-00001-of-00002.safetensors",
|
113 |
+
"img_diffuser.layers.3.norm1.linear.weight": "model-00001-of-00002.safetensors",
|
114 |
+
"img_diffuser.layers.3.norm1.norm.weight": "model-00001-of-00002.safetensors",
|
115 |
+
"img_diffuser.layers.3.norm1_context.weight": "model-00001-of-00002.safetensors",
|
116 |
+
"img_diffuser.layers.3.norm2.weight": "model-00001-of-00002.safetensors",
|
117 |
+
"img_diffuser.layers.4.attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
118 |
+
"img_diffuser.layers.4.attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
119 |
+
"img_diffuser.layers.4.attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
120 |
+
"img_diffuser.layers.4.attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
121 |
+
"img_diffuser.layers.4.attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
122 |
+
"img_diffuser.layers.4.attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
123 |
+
"img_diffuser.layers.4.attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
124 |
+
"img_diffuser.layers.4.attn2.norm_k.bias": "model-00001-of-00002.safetensors",
|
125 |
+
"img_diffuser.layers.4.attn2.norm_k.weight": "model-00001-of-00002.safetensors",
|
126 |
+
"img_diffuser.layers.4.attn2.norm_q.bias": "model-00001-of-00002.safetensors",
|
127 |
+
"img_diffuser.layers.4.attn2.norm_q.weight": "model-00001-of-00002.safetensors",
|
128 |
+
"img_diffuser.layers.4.attn2.to_k.weight": "model-00001-of-00002.safetensors",
|
129 |
+
"img_diffuser.layers.4.attn2.to_out.0.weight": "model-00001-of-00002.safetensors",
|
130 |
+
"img_diffuser.layers.4.attn2.to_q.weight": "model-00001-of-00002.safetensors",
|
131 |
+
"img_diffuser.layers.4.attn2.to_v.weight": "model-00001-of-00002.safetensors",
|
132 |
+
"img_diffuser.layers.4.feed_forward.linear_1.weight": "model-00001-of-00002.safetensors",
|
133 |
+
"img_diffuser.layers.4.feed_forward.linear_2.weight": "model-00001-of-00002.safetensors",
|
134 |
+
"img_diffuser.layers.4.feed_forward.linear_3.weight": "model-00001-of-00002.safetensors",
|
135 |
+
"img_diffuser.layers.4.ffn_norm1.weight": "model-00001-of-00002.safetensors",
|
136 |
+
"img_diffuser.layers.4.ffn_norm2.weight": "model-00001-of-00002.safetensors",
|
137 |
+
"img_diffuser.layers.4.gate": "model-00001-of-00002.safetensors",
|
138 |
+
"img_diffuser.layers.4.norm1.linear.bias": "model-00001-of-00002.safetensors",
|
139 |
+
"img_diffuser.layers.4.norm1.linear.weight": "model-00001-of-00002.safetensors",
|
140 |
+
"img_diffuser.layers.4.norm1.norm.weight": "model-00001-of-00002.safetensors",
|
141 |
+
"img_diffuser.layers.4.norm1_context.weight": "model-00001-of-00002.safetensors",
|
142 |
+
"img_diffuser.layers.4.norm2.weight": "model-00001-of-00002.safetensors",
|
143 |
+
"img_diffuser.layers.5.attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
144 |
+
"img_diffuser.layers.5.attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
145 |
+
"img_diffuser.layers.5.attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
146 |
+
"img_diffuser.layers.5.attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
147 |
+
"img_diffuser.layers.5.attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
148 |
+
"img_diffuser.layers.5.attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
149 |
+
"img_diffuser.layers.5.attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
150 |
+
"img_diffuser.layers.5.attn2.norm_k.bias": "model-00001-of-00002.safetensors",
|
151 |
+
"img_diffuser.layers.5.attn2.norm_k.weight": "model-00001-of-00002.safetensors",
|
152 |
+
"img_diffuser.layers.5.attn2.norm_q.bias": "model-00001-of-00002.safetensors",
|
153 |
+
"img_diffuser.layers.5.attn2.norm_q.weight": "model-00001-of-00002.safetensors",
|
154 |
+
"img_diffuser.layers.5.attn2.to_k.weight": "model-00001-of-00002.safetensors",
|
155 |
+
"img_diffuser.layers.5.attn2.to_out.0.weight": "model-00001-of-00002.safetensors",
|
156 |
+
"img_diffuser.layers.5.attn2.to_q.weight": "model-00001-of-00002.safetensors",
|
157 |
+
"img_diffuser.layers.5.attn2.to_v.weight": "model-00001-of-00002.safetensors",
|
158 |
+
"img_diffuser.layers.5.feed_forward.linear_1.weight": "model-00001-of-00002.safetensors",
|
159 |
+
"img_diffuser.layers.5.feed_forward.linear_2.weight": "model-00001-of-00002.safetensors",
|
160 |
+
"img_diffuser.layers.5.feed_forward.linear_3.weight": "model-00001-of-00002.safetensors",
|
161 |
+
"img_diffuser.layers.5.ffn_norm1.weight": "model-00001-of-00002.safetensors",
|
162 |
+
"img_diffuser.layers.5.ffn_norm2.weight": "model-00001-of-00002.safetensors",
|
163 |
+
"img_diffuser.layers.5.gate": "model-00001-of-00002.safetensors",
|
164 |
+
"img_diffuser.layers.5.norm1.linear.bias": "model-00001-of-00002.safetensors",
|
165 |
+
"img_diffuser.layers.5.norm1.linear.weight": "model-00001-of-00002.safetensors",
|
166 |
+
"img_diffuser.layers.5.norm1.norm.weight": "model-00001-of-00002.safetensors",
|
167 |
+
"img_diffuser.layers.5.norm1_context.weight": "model-00001-of-00002.safetensors",
|
168 |
+
"img_diffuser.layers.5.norm2.weight": "model-00001-of-00002.safetensors",
|
169 |
+
"img_diffuser.text_proj.bias": "model-00001-of-00002.safetensors",
|
170 |
+
"img_diffuser.text_proj.weight": "model-00001-of-00002.safetensors",
|
171 |
+
"img_norm_out.linear_1.bias": "model-00001-of-00002.safetensors",
|
172 |
+
"img_norm_out.linear_1.weight": "model-00001-of-00002.safetensors",
|
173 |
+
"img_norm_out.linear_2.bias": "model-00001-of-00002.safetensors",
|
174 |
+
"img_norm_out.linear_2.weight": "model-00001-of-00002.safetensors",
|
175 |
+
"layers.0.gate": "model-00001-of-00002.safetensors",
|
176 |
+
"layers.0.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
177 |
+
"layers.0.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
178 |
+
"layers.0.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
179 |
+
"layers.0.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
180 |
+
"layers.0.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
181 |
+
"layers.0.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
182 |
+
"layers.0.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
183 |
+
"layers.0.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
184 |
+
"layers.0.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
185 |
+
"layers.0.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
186 |
+
"layers.0.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
187 |
+
"layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
188 |
+
"layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
189 |
+
"layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
190 |
+
"layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
191 |
+
"layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
192 |
+
"layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
193 |
+
"layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
194 |
+
"layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
195 |
+
"layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
196 |
+
"layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
197 |
+
"layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
198 |
+
"layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
199 |
+
"layers.0.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
200 |
+
"layers.0.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
201 |
+
"layers.1.gate": "model-00001-of-00002.safetensors",
|
202 |
+
"layers.1.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
203 |
+
"layers.1.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
204 |
+
"layers.1.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
205 |
+
"layers.1.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
206 |
+
"layers.1.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
207 |
+
"layers.1.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
208 |
+
"layers.1.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
209 |
+
"layers.1.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
210 |
+
"layers.1.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
211 |
+
"layers.1.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
212 |
+
"layers.1.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
213 |
+
"layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
214 |
+
"layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
215 |
+
"layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
216 |
+
"layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
217 |
+
"layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
218 |
+
"layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
219 |
+
"layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
220 |
+
"layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
221 |
+
"layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
222 |
+
"layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
223 |
+
"layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
224 |
+
"layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
225 |
+
"layers.1.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
226 |
+
"layers.1.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
227 |
+
"layers.10.gate": "model-00001-of-00002.safetensors",
|
228 |
+
"layers.10.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
229 |
+
"layers.10.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
230 |
+
"layers.10.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
231 |
+
"layers.10.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
232 |
+
"layers.10.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
233 |
+
"layers.10.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
234 |
+
"layers.10.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
235 |
+
"layers.10.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
236 |
+
"layers.10.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
237 |
+
"layers.10.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
238 |
+
"layers.10.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
239 |
+
"layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
240 |
+
"layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
241 |
+
"layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
242 |
+
"layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
243 |
+
"layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
244 |
+
"layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
245 |
+
"layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
246 |
+
"layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
247 |
+
"layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
248 |
+
"layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
249 |
+
"layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
250 |
+
"layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
251 |
+
"layers.10.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
252 |
+
"layers.10.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
253 |
+
"layers.11.gate": "model-00001-of-00002.safetensors",
|
254 |
+
"layers.11.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
255 |
+
"layers.11.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
256 |
+
"layers.11.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
257 |
+
"layers.11.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
258 |
+
"layers.11.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
259 |
+
"layers.11.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
260 |
+
"layers.11.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
261 |
+
"layers.11.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
262 |
+
"layers.11.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
263 |
+
"layers.11.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
264 |
+
"layers.11.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
265 |
+
"layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
266 |
+
"layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
267 |
+
"layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
268 |
+
"layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
269 |
+
"layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
270 |
+
"layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
271 |
+
"layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
272 |
+
"layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
273 |
+
"layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
274 |
+
"layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
275 |
+
"layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
276 |
+
"layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
277 |
+
"layers.11.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
278 |
+
"layers.11.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
279 |
+
"layers.12.gate": "model-00001-of-00002.safetensors",
|
280 |
+
"layers.12.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
281 |
+
"layers.12.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
282 |
+
"layers.12.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
283 |
+
"layers.12.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
284 |
+
"layers.12.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
285 |
+
"layers.12.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
286 |
+
"layers.12.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
287 |
+
"layers.12.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
288 |
+
"layers.12.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
289 |
+
"layers.12.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
290 |
+
"layers.12.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
291 |
+
"layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
292 |
+
"layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
293 |
+
"layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
294 |
+
"layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
295 |
+
"layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
296 |
+
"layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
297 |
+
"layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
298 |
+
"layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
299 |
+
"layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
300 |
+
"layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
301 |
+
"layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
302 |
+
"layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
303 |
+
"layers.12.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
304 |
+
"layers.12.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
305 |
+
"layers.13.gate": "model-00001-of-00002.safetensors",
|
306 |
+
"layers.13.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
307 |
+
"layers.13.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
308 |
+
"layers.13.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
309 |
+
"layers.13.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
310 |
+
"layers.13.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
311 |
+
"layers.13.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
312 |
+
"layers.13.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
313 |
+
"layers.13.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
314 |
+
"layers.13.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
315 |
+
"layers.13.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
316 |
+
"layers.13.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
317 |
+
"layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
318 |
+
"layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
319 |
+
"layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
320 |
+
"layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
321 |
+
"layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
322 |
+
"layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
323 |
+
"layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
324 |
+
"layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
325 |
+
"layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
326 |
+
"layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
327 |
+
"layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
328 |
+
"layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
329 |
+
"layers.13.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
330 |
+
"layers.13.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
331 |
+
"layers.14.gate": "model-00001-of-00002.safetensors",
|
332 |
+
"layers.14.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
333 |
+
"layers.14.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
334 |
+
"layers.14.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
335 |
+
"layers.14.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
336 |
+
"layers.14.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
337 |
+
"layers.14.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
338 |
+
"layers.14.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
339 |
+
"layers.14.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
340 |
+
"layers.14.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
341 |
+
"layers.14.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
342 |
+
"layers.14.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
343 |
+
"layers.14.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
344 |
+
"layers.14.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
345 |
+
"layers.14.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
346 |
+
"layers.14.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
347 |
+
"layers.14.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
348 |
+
"layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
349 |
+
"layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
350 |
+
"layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
351 |
+
"layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
352 |
+
"layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
353 |
+
"layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
354 |
+
"layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
355 |
+
"layers.14.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
356 |
+
"layers.14.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
357 |
+
"layers.15.gate": "model-00001-of-00002.safetensors",
|
358 |
+
"layers.15.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
359 |
+
"layers.15.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
360 |
+
"layers.15.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
361 |
+
"layers.15.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
362 |
+
"layers.15.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
363 |
+
"layers.15.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
364 |
+
"layers.15.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
365 |
+
"layers.15.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
366 |
+
"layers.15.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
367 |
+
"layers.15.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
368 |
+
"layers.15.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
369 |
+
"layers.15.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
370 |
+
"layers.15.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
371 |
+
"layers.15.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
372 |
+
"layers.15.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
373 |
+
"layers.15.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
374 |
+
"layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
375 |
+
"layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
376 |
+
"layers.15.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
377 |
+
"layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
378 |
+
"layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
379 |
+
"layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
380 |
+
"layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
381 |
+
"layers.15.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
382 |
+
"layers.15.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
383 |
+
"layers.16.gate": "model-00001-of-00002.safetensors",
|
384 |
+
"layers.16.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
385 |
+
"layers.16.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
386 |
+
"layers.16.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
387 |
+
"layers.16.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
388 |
+
"layers.16.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
389 |
+
"layers.16.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
390 |
+
"layers.16.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
391 |
+
"layers.16.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
392 |
+
"layers.16.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
393 |
+
"layers.16.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
394 |
+
"layers.16.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
395 |
+
"layers.16.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
396 |
+
"layers.16.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
397 |
+
"layers.16.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
398 |
+
"layers.16.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
399 |
+
"layers.16.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
400 |
+
"layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
401 |
+
"layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
402 |
+
"layers.16.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
403 |
+
"layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
404 |
+
"layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
405 |
+
"layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
406 |
+
"layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
407 |
+
"layers.16.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
408 |
+
"layers.16.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
409 |
+
"layers.17.gate": "model-00001-of-00002.safetensors",
|
410 |
+
"layers.17.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
411 |
+
"layers.17.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
412 |
+
"layers.17.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
413 |
+
"layers.17.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
414 |
+
"layers.17.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
415 |
+
"layers.17.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
416 |
+
"layers.17.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
417 |
+
"layers.17.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
418 |
+
"layers.17.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
419 |
+
"layers.17.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
420 |
+
"layers.17.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
421 |
+
"layers.17.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
422 |
+
"layers.17.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
423 |
+
"layers.17.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
424 |
+
"layers.17.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
425 |
+
"layers.17.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
426 |
+
"layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
427 |
+
"layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
428 |
+
"layers.17.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
429 |
+
"layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
430 |
+
"layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
431 |
+
"layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
432 |
+
"layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
433 |
+
"layers.17.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
434 |
+
"layers.17.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
435 |
+
"layers.18.gate": "model-00001-of-00002.safetensors",
|
436 |
+
"layers.18.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
437 |
+
"layers.18.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
438 |
+
"layers.18.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
439 |
+
"layers.18.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
440 |
+
"layers.18.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
441 |
+
"layers.18.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
442 |
+
"layers.18.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
443 |
+
"layers.18.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
444 |
+
"layers.18.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
445 |
+
"layers.18.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
446 |
+
"layers.18.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
447 |
+
"layers.18.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
448 |
+
"layers.18.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
449 |
+
"layers.18.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
450 |
+
"layers.18.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
451 |
+
"layers.18.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
452 |
+
"layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
453 |
+
"layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
454 |
+
"layers.18.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
455 |
+
"layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
456 |
+
"layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
457 |
+
"layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
458 |
+
"layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
459 |
+
"layers.18.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
460 |
+
"layers.18.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
461 |
+
"layers.19.gate": "model-00001-of-00002.safetensors",
|
462 |
+
"layers.19.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
463 |
+
"layers.19.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
464 |
+
"layers.19.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
465 |
+
"layers.19.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
466 |
+
"layers.19.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
467 |
+
"layers.19.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
468 |
+
"layers.19.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
469 |
+
"layers.19.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
470 |
+
"layers.19.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
471 |
+
"layers.19.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
472 |
+
"layers.19.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
473 |
+
"layers.19.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
474 |
+
"layers.19.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
475 |
+
"layers.19.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
476 |
+
"layers.19.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
477 |
+
"layers.19.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
478 |
+
"layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
479 |
+
"layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
480 |
+
"layers.19.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
481 |
+
"layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
482 |
+
"layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
483 |
+
"layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
484 |
+
"layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
485 |
+
"layers.19.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
486 |
+
"layers.19.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
487 |
+
"layers.2.gate": "model-00001-of-00002.safetensors",
|
488 |
+
"layers.2.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
489 |
+
"layers.2.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
490 |
+
"layers.2.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
491 |
+
"layers.2.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
492 |
+
"layers.2.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
493 |
+
"layers.2.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
494 |
+
"layers.2.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
495 |
+
"layers.2.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
496 |
+
"layers.2.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
497 |
+
"layers.2.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
498 |
+
"layers.2.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
499 |
+
"layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
500 |
+
"layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
501 |
+
"layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
502 |
+
"layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
503 |
+
"layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
504 |
+
"layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
505 |
+
"layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
506 |
+
"layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
507 |
+
"layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
508 |
+
"layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
509 |
+
"layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
510 |
+
"layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
511 |
+
"layers.2.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
512 |
+
"layers.2.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
513 |
+
"layers.20.gate": "model-00001-of-00002.safetensors",
|
514 |
+
"layers.20.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
515 |
+
"layers.20.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
516 |
+
"layers.20.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
517 |
+
"layers.20.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
518 |
+
"layers.20.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
519 |
+
"layers.20.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
520 |
+
"layers.20.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
521 |
+
"layers.20.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
522 |
+
"layers.20.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
523 |
+
"layers.20.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
524 |
+
"layers.20.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
525 |
+
"layers.20.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
526 |
+
"layers.20.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
527 |
+
"layers.20.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
528 |
+
"layers.20.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
529 |
+
"layers.20.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
530 |
+
"layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
531 |
+
"layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
532 |
+
"layers.20.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
533 |
+
"layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
534 |
+
"layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
535 |
+
"layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
536 |
+
"layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
537 |
+
"layers.20.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
538 |
+
"layers.20.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
539 |
+
"layers.21.gate": "model-00001-of-00002.safetensors",
|
540 |
+
"layers.21.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
541 |
+
"layers.21.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
542 |
+
"layers.21.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
543 |
+
"layers.21.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
544 |
+
"layers.21.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
545 |
+
"layers.21.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
546 |
+
"layers.21.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
547 |
+
"layers.21.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
548 |
+
"layers.21.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
549 |
+
"layers.21.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
550 |
+
"layers.21.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
551 |
+
"layers.21.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
552 |
+
"layers.21.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
553 |
+
"layers.21.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
554 |
+
"layers.21.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
555 |
+
"layers.21.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
556 |
+
"layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
557 |
+
"layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
558 |
+
"layers.21.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
559 |
+
"layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
560 |
+
"layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
561 |
+
"layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
562 |
+
"layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
563 |
+
"layers.21.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
564 |
+
"layers.21.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
565 |
+
"layers.22.gate": "model-00001-of-00002.safetensors",
|
566 |
+
"layers.22.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
567 |
+
"layers.22.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
568 |
+
"layers.22.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
569 |
+
"layers.22.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
570 |
+
"layers.22.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
571 |
+
"layers.22.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
572 |
+
"layers.22.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
573 |
+
"layers.22.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
574 |
+
"layers.22.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
575 |
+
"layers.22.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
576 |
+
"layers.22.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
577 |
+
"layers.22.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
578 |
+
"layers.22.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
579 |
+
"layers.22.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
580 |
+
"layers.22.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
581 |
+
"layers.22.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
582 |
+
"layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
583 |
+
"layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
584 |
+
"layers.22.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
585 |
+
"layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
586 |
+
"layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
587 |
+
"layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
588 |
+
"layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
589 |
+
"layers.22.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
590 |
+
"layers.22.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
591 |
+
"layers.23.gate": "model-00001-of-00002.safetensors",
|
592 |
+
"layers.23.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
593 |
+
"layers.23.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
594 |
+
"layers.23.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
595 |
+
"layers.23.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
596 |
+
"layers.23.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
597 |
+
"layers.23.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
598 |
+
"layers.23.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
599 |
+
"layers.23.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
600 |
+
"layers.23.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
601 |
+
"layers.23.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
602 |
+
"layers.23.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
603 |
+
"layers.23.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
604 |
+
"layers.23.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
605 |
+
"layers.23.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
606 |
+
"layers.23.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
607 |
+
"layers.23.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
608 |
+
"layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
609 |
+
"layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
610 |
+
"layers.23.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
611 |
+
"layers.23.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
612 |
+
"layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
613 |
+
"layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
614 |
+
"layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
615 |
+
"layers.23.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
616 |
+
"layers.23.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
617 |
+
"layers.24.gate": "model-00001-of-00002.safetensors",
|
618 |
+
"layers.24.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
619 |
+
"layers.24.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
620 |
+
"layers.24.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
621 |
+
"layers.24.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
622 |
+
"layers.24.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
623 |
+
"layers.24.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
624 |
+
"layers.24.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
625 |
+
"layers.24.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
626 |
+
"layers.24.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
627 |
+
"layers.24.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
628 |
+
"layers.24.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
629 |
+
"layers.24.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
630 |
+
"layers.24.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
631 |
+
"layers.24.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
632 |
+
"layers.24.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
633 |
+
"layers.24.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
634 |
+
"layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
635 |
+
"layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
636 |
+
"layers.24.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
637 |
+
"layers.24.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
638 |
+
"layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
639 |
+
"layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
640 |
+
"layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
641 |
+
"layers.24.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
642 |
+
"layers.24.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
643 |
+
"layers.25.gate": "model-00001-of-00002.safetensors",
|
644 |
+
"layers.25.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
645 |
+
"layers.25.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
646 |
+
"layers.25.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
647 |
+
"layers.25.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
648 |
+
"layers.25.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
649 |
+
"layers.25.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
650 |
+
"layers.25.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
651 |
+
"layers.25.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
652 |
+
"layers.25.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
653 |
+
"layers.25.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
654 |
+
"layers.25.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
655 |
+
"layers.25.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
656 |
+
"layers.25.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
657 |
+
"layers.25.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
658 |
+
"layers.25.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
659 |
+
"layers.25.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
660 |
+
"layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
661 |
+
"layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
662 |
+
"layers.25.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
663 |
+
"layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
664 |
+
"layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
665 |
+
"layers.25.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
666 |
+
"layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
667 |
+
"layers.25.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
668 |
+
"layers.25.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
669 |
+
"layers.26.gate": "model-00001-of-00002.safetensors",
|
670 |
+
"layers.26.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
671 |
+
"layers.26.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
672 |
+
"layers.26.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
673 |
+
"layers.26.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
674 |
+
"layers.26.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
675 |
+
"layers.26.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
676 |
+
"layers.26.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
677 |
+
"layers.26.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
678 |
+
"layers.26.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
679 |
+
"layers.26.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
680 |
+
"layers.26.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
681 |
+
"layers.26.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
682 |
+
"layers.26.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
683 |
+
"layers.26.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
684 |
+
"layers.26.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
685 |
+
"layers.26.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
686 |
+
"layers.26.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
687 |
+
"layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
688 |
+
"layers.26.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
689 |
+
"layers.26.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
690 |
+
"layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
691 |
+
"layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
692 |
+
"layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
693 |
+
"layers.26.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
694 |
+
"layers.26.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
695 |
+
"layers.27.gate": "model-00001-of-00002.safetensors",
|
696 |
+
"layers.27.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
697 |
+
"layers.27.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
698 |
+
"layers.27.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
699 |
+
"layers.27.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
700 |
+
"layers.27.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
701 |
+
"layers.27.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
702 |
+
"layers.27.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
703 |
+
"layers.27.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
704 |
+
"layers.27.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
705 |
+
"layers.27.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
706 |
+
"layers.27.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
707 |
+
"layers.27.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
708 |
+
"layers.27.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
709 |
+
"layers.27.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
710 |
+
"layers.27.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
711 |
+
"layers.27.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
712 |
+
"layers.27.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
713 |
+
"layers.27.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
714 |
+
"layers.27.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
715 |
+
"layers.27.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
716 |
+
"layers.27.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
717 |
+
"layers.27.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
718 |
+
"layers.27.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
719 |
+
"layers.27.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
720 |
+
"layers.27.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
721 |
+
"layers.3.gate": "model-00001-of-00002.safetensors",
|
722 |
+
"layers.3.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
723 |
+
"layers.3.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
724 |
+
"layers.3.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
725 |
+
"layers.3.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
726 |
+
"layers.3.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
727 |
+
"layers.3.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
728 |
+
"layers.3.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
729 |
+
"layers.3.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
730 |
+
"layers.3.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
731 |
+
"layers.3.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
732 |
+
"layers.3.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
733 |
+
"layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
734 |
+
"layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
735 |
+
"layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
736 |
+
"layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
737 |
+
"layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
738 |
+
"layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
739 |
+
"layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
740 |
+
"layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
741 |
+
"layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
742 |
+
"layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
743 |
+
"layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
744 |
+
"layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
745 |
+
"layers.3.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
746 |
+
"layers.3.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
747 |
+
"layers.4.gate": "model-00001-of-00002.safetensors",
|
748 |
+
"layers.4.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
749 |
+
"layers.4.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
750 |
+
"layers.4.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
751 |
+
"layers.4.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
752 |
+
"layers.4.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
753 |
+
"layers.4.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
754 |
+
"layers.4.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
755 |
+
"layers.4.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
756 |
+
"layers.4.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
757 |
+
"layers.4.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
758 |
+
"layers.4.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
759 |
+
"layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
760 |
+
"layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
761 |
+
"layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
762 |
+
"layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
763 |
+
"layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
764 |
+
"layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
765 |
+
"layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
766 |
+
"layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
767 |
+
"layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
768 |
+
"layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
769 |
+
"layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
770 |
+
"layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
771 |
+
"layers.4.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
772 |
+
"layers.4.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
773 |
+
"layers.5.gate": "model-00001-of-00002.safetensors",
|
774 |
+
"layers.5.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
775 |
+
"layers.5.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
776 |
+
"layers.5.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
777 |
+
"layers.5.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
778 |
+
"layers.5.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
779 |
+
"layers.5.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
780 |
+
"layers.5.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
781 |
+
"layers.5.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
782 |
+
"layers.5.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
783 |
+
"layers.5.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
784 |
+
"layers.5.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
785 |
+
"layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
786 |
+
"layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
787 |
+
"layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
788 |
+
"layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
789 |
+
"layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
790 |
+
"layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
791 |
+
"layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
792 |
+
"layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
793 |
+
"layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
794 |
+
"layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
795 |
+
"layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
796 |
+
"layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
797 |
+
"layers.5.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
798 |
+
"layers.5.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
799 |
+
"layers.6.gate": "model-00001-of-00002.safetensors",
|
800 |
+
"layers.6.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
801 |
+
"layers.6.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
802 |
+
"layers.6.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
803 |
+
"layers.6.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
804 |
+
"layers.6.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
805 |
+
"layers.6.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
806 |
+
"layers.6.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
807 |
+
"layers.6.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
808 |
+
"layers.6.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
809 |
+
"layers.6.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
810 |
+
"layers.6.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
811 |
+
"layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
812 |
+
"layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
813 |
+
"layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
814 |
+
"layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
815 |
+
"layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
816 |
+
"layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
817 |
+
"layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
818 |
+
"layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
819 |
+
"layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
820 |
+
"layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
821 |
+
"layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
822 |
+
"layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
823 |
+
"layers.6.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
824 |
+
"layers.6.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
825 |
+
"layers.7.gate": "model-00001-of-00002.safetensors",
|
826 |
+
"layers.7.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
827 |
+
"layers.7.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
828 |
+
"layers.7.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
829 |
+
"layers.7.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
830 |
+
"layers.7.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
831 |
+
"layers.7.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
832 |
+
"layers.7.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
833 |
+
"layers.7.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
834 |
+
"layers.7.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
835 |
+
"layers.7.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
836 |
+
"layers.7.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
837 |
+
"layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
838 |
+
"layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
839 |
+
"layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
840 |
+
"layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
841 |
+
"layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
842 |
+
"layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
843 |
+
"layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
844 |
+
"layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
845 |
+
"layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
846 |
+
"layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
847 |
+
"layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
848 |
+
"layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
849 |
+
"layers.7.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
850 |
+
"layers.7.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
851 |
+
"layers.8.gate": "model-00001-of-00002.safetensors",
|
852 |
+
"layers.8.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
853 |
+
"layers.8.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
854 |
+
"layers.8.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
855 |
+
"layers.8.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
856 |
+
"layers.8.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
857 |
+
"layers.8.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
858 |
+
"layers.8.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
859 |
+
"layers.8.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
860 |
+
"layers.8.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
861 |
+
"layers.8.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
862 |
+
"layers.8.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
863 |
+
"layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
864 |
+
"layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
865 |
+
"layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
866 |
+
"layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
867 |
+
"layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
868 |
+
"layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
869 |
+
"layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
870 |
+
"layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
871 |
+
"layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
872 |
+
"layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
873 |
+
"layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
874 |
+
"layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
875 |
+
"layers.8.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
876 |
+
"layers.8.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
877 |
+
"layers.9.gate": "model-00001-of-00002.safetensors",
|
878 |
+
"layers.9.img_attn1.norm_k.bias": "model-00001-of-00002.safetensors",
|
879 |
+
"layers.9.img_attn1.norm_k.weight": "model-00001-of-00002.safetensors",
|
880 |
+
"layers.9.img_attn1.norm_q.bias": "model-00001-of-00002.safetensors",
|
881 |
+
"layers.9.img_attn1.norm_q.weight": "model-00001-of-00002.safetensors",
|
882 |
+
"layers.9.img_attn1.to_k.weight": "model-00001-of-00002.safetensors",
|
883 |
+
"layers.9.img_attn1.to_q.weight": "model-00001-of-00002.safetensors",
|
884 |
+
"layers.9.img_attn1.to_v.weight": "model-00001-of-00002.safetensors",
|
885 |
+
"layers.9.img_post_ffn_norm.weight": "model-00001-of-00002.safetensors",
|
886 |
+
"layers.9.img_post_mixed_attn_norm.weight": "model-00001-of-00002.safetensors",
|
887 |
+
"layers.9.img_scale_shift.linear.bias": "model-00001-of-00002.safetensors",
|
888 |
+
"layers.9.img_scale_shift.linear.weight": "model-00001-of-00002.safetensors",
|
889 |
+
"layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
|
890 |
+
"layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
|
891 |
+
"layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
|
892 |
+
"layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
|
893 |
+
"layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
|
894 |
+
"layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
|
895 |
+
"layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
|
896 |
+
"layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
|
897 |
+
"layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
|
898 |
+
"layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
|
899 |
+
"layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
|
900 |
+
"layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
|
901 |
+
"layers.9.to_img_diffuser.bias": "model-00001-of-00002.safetensors",
|
902 |
+
"layers.9.to_img_diffuser.weight": "model-00001-of-00002.safetensors",
|
903 |
+
"lm_head.weight": "model-00002-of-00002.safetensors",
|
904 |
+
"norm.weight": "model-00001-of-00002.safetensors",
|
905 |
+
"patch_embedder.proj.bias": "model-00001-of-00002.safetensors",
|
906 |
+
"patch_embedder.proj.weight": "model-00001-of-00002.safetensors",
|
907 |
+
"t_embedder.timestep_embedder.linear_1.bias": "model-00001-of-00002.safetensors",
|
908 |
+
"t_embedder.timestep_embedder.linear_1.weight": "model-00001-of-00002.safetensors",
|
909 |
+
"t_embedder.timestep_embedder.linear_2.bias": "model-00001-of-00002.safetensors",
|
910 |
+
"t_embedder.timestep_embedder.linear_2.weight": "model-00001-of-00002.safetensors",
|
911 |
+
"vae.decoder.conv_in.bias": "model-00002-of-00002.safetensors",
|
912 |
+
"vae.decoder.conv_in.weight": "model-00002-of-00002.safetensors",
|
913 |
+
"vae.decoder.conv_norm_out.bias": "model-00002-of-00002.safetensors",
|
914 |
+
"vae.decoder.conv_norm_out.weight": "model-00002-of-00002.safetensors",
|
915 |
+
"vae.decoder.conv_out.bias": "model-00002-of-00002.safetensors",
|
916 |
+
"vae.decoder.conv_out.weight": "model-00002-of-00002.safetensors",
|
917 |
+
"vae.decoder.mid_block.attentions.0.group_norm.bias": "model-00002-of-00002.safetensors",
|
918 |
+
"vae.decoder.mid_block.attentions.0.group_norm.weight": "model-00002-of-00002.safetensors",
|
919 |
+
"vae.decoder.mid_block.attentions.0.to_k.bias": "model-00002-of-00002.safetensors",
|
920 |
+
"vae.decoder.mid_block.attentions.0.to_k.weight": "model-00002-of-00002.safetensors",
|
921 |
+
"vae.decoder.mid_block.attentions.0.to_out.0.bias": "model-00002-of-00002.safetensors",
|
922 |
+
"vae.decoder.mid_block.attentions.0.to_out.0.weight": "model-00002-of-00002.safetensors",
|
923 |
+
"vae.decoder.mid_block.attentions.0.to_q.bias": "model-00002-of-00002.safetensors",
|
924 |
+
"vae.decoder.mid_block.attentions.0.to_q.weight": "model-00002-of-00002.safetensors",
|
925 |
+
"vae.decoder.mid_block.attentions.0.to_v.bias": "model-00002-of-00002.safetensors",
|
926 |
+
"vae.decoder.mid_block.attentions.0.to_v.weight": "model-00002-of-00002.safetensors",
|
927 |
+
"vae.decoder.mid_block.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
928 |
+
"vae.decoder.mid_block.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
929 |
+
"vae.decoder.mid_block.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
930 |
+
"vae.decoder.mid_block.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
931 |
+
"vae.decoder.mid_block.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
932 |
+
"vae.decoder.mid_block.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
933 |
+
"vae.decoder.mid_block.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
934 |
+
"vae.decoder.mid_block.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
935 |
+
"vae.decoder.mid_block.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
936 |
+
"vae.decoder.mid_block.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
937 |
+
"vae.decoder.mid_block.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
938 |
+
"vae.decoder.mid_block.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
939 |
+
"vae.decoder.mid_block.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
940 |
+
"vae.decoder.mid_block.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
941 |
+
"vae.decoder.mid_block.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
942 |
+
"vae.decoder.mid_block.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
943 |
+
"vae.decoder.up_blocks.0.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
944 |
+
"vae.decoder.up_blocks.0.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
945 |
+
"vae.decoder.up_blocks.0.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
946 |
+
"vae.decoder.up_blocks.0.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
947 |
+
"vae.decoder.up_blocks.0.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
948 |
+
"vae.decoder.up_blocks.0.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
949 |
+
"vae.decoder.up_blocks.0.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
950 |
+
"vae.decoder.up_blocks.0.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
951 |
+
"vae.decoder.up_blocks.0.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
952 |
+
"vae.decoder.up_blocks.0.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
953 |
+
"vae.decoder.up_blocks.0.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
954 |
+
"vae.decoder.up_blocks.0.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
955 |
+
"vae.decoder.up_blocks.0.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
956 |
+
"vae.decoder.up_blocks.0.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
957 |
+
"vae.decoder.up_blocks.0.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
958 |
+
"vae.decoder.up_blocks.0.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
959 |
+
"vae.decoder.up_blocks.0.resnets.2.conv1.bias": "model-00002-of-00002.safetensors",
|
960 |
+
"vae.decoder.up_blocks.0.resnets.2.conv1.weight": "model-00002-of-00002.safetensors",
|
961 |
+
"vae.decoder.up_blocks.0.resnets.2.conv2.bias": "model-00002-of-00002.safetensors",
|
962 |
+
"vae.decoder.up_blocks.0.resnets.2.conv2.weight": "model-00002-of-00002.safetensors",
|
963 |
+
"vae.decoder.up_blocks.0.resnets.2.norm1.bias": "model-00002-of-00002.safetensors",
|
964 |
+
"vae.decoder.up_blocks.0.resnets.2.norm1.weight": "model-00002-of-00002.safetensors",
|
965 |
+
"vae.decoder.up_blocks.0.resnets.2.norm2.bias": "model-00002-of-00002.safetensors",
|
966 |
+
"vae.decoder.up_blocks.0.resnets.2.norm2.weight": "model-00002-of-00002.safetensors",
|
967 |
+
"vae.decoder.up_blocks.0.upsamplers.0.conv.bias": "model-00002-of-00002.safetensors",
|
968 |
+
"vae.decoder.up_blocks.0.upsamplers.0.conv.weight": "model-00002-of-00002.safetensors",
|
969 |
+
"vae.decoder.up_blocks.1.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
970 |
+
"vae.decoder.up_blocks.1.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
971 |
+
"vae.decoder.up_blocks.1.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
972 |
+
"vae.decoder.up_blocks.1.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
973 |
+
"vae.decoder.up_blocks.1.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
974 |
+
"vae.decoder.up_blocks.1.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
975 |
+
"vae.decoder.up_blocks.1.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
976 |
+
"vae.decoder.up_blocks.1.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
977 |
+
"vae.decoder.up_blocks.1.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
978 |
+
"vae.decoder.up_blocks.1.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
979 |
+
"vae.decoder.up_blocks.1.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
980 |
+
"vae.decoder.up_blocks.1.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
981 |
+
"vae.decoder.up_blocks.1.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
982 |
+
"vae.decoder.up_blocks.1.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
983 |
+
"vae.decoder.up_blocks.1.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
984 |
+
"vae.decoder.up_blocks.1.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
985 |
+
"vae.decoder.up_blocks.1.resnets.2.conv1.bias": "model-00002-of-00002.safetensors",
|
986 |
+
"vae.decoder.up_blocks.1.resnets.2.conv1.weight": "model-00002-of-00002.safetensors",
|
987 |
+
"vae.decoder.up_blocks.1.resnets.2.conv2.bias": "model-00002-of-00002.safetensors",
|
988 |
+
"vae.decoder.up_blocks.1.resnets.2.conv2.weight": "model-00002-of-00002.safetensors",
|
989 |
+
"vae.decoder.up_blocks.1.resnets.2.norm1.bias": "model-00002-of-00002.safetensors",
|
990 |
+
"vae.decoder.up_blocks.1.resnets.2.norm1.weight": "model-00002-of-00002.safetensors",
|
991 |
+
"vae.decoder.up_blocks.1.resnets.2.norm2.bias": "model-00002-of-00002.safetensors",
|
992 |
+
"vae.decoder.up_blocks.1.resnets.2.norm2.weight": "model-00002-of-00002.safetensors",
|
993 |
+
"vae.decoder.up_blocks.1.upsamplers.0.conv.bias": "model-00002-of-00002.safetensors",
|
994 |
+
"vae.decoder.up_blocks.1.upsamplers.0.conv.weight": "model-00002-of-00002.safetensors",
|
995 |
+
"vae.decoder.up_blocks.2.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
996 |
+
"vae.decoder.up_blocks.2.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
997 |
+
"vae.decoder.up_blocks.2.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
998 |
+
"vae.decoder.up_blocks.2.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
999 |
+
"vae.decoder.up_blocks.2.resnets.0.conv_shortcut.bias": "model-00002-of-00002.safetensors",
|
1000 |
+
"vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight": "model-00002-of-00002.safetensors",
|
1001 |
+
"vae.decoder.up_blocks.2.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1002 |
+
"vae.decoder.up_blocks.2.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1003 |
+
"vae.decoder.up_blocks.2.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1004 |
+
"vae.decoder.up_blocks.2.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1005 |
+
"vae.decoder.up_blocks.2.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1006 |
+
"vae.decoder.up_blocks.2.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1007 |
+
"vae.decoder.up_blocks.2.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1008 |
+
"vae.decoder.up_blocks.2.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1009 |
+
"vae.decoder.up_blocks.2.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1010 |
+
"vae.decoder.up_blocks.2.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1011 |
+
"vae.decoder.up_blocks.2.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1012 |
+
"vae.decoder.up_blocks.2.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1013 |
+
"vae.decoder.up_blocks.2.resnets.2.conv1.bias": "model-00002-of-00002.safetensors",
|
1014 |
+
"vae.decoder.up_blocks.2.resnets.2.conv1.weight": "model-00002-of-00002.safetensors",
|
1015 |
+
"vae.decoder.up_blocks.2.resnets.2.conv2.bias": "model-00002-of-00002.safetensors",
|
1016 |
+
"vae.decoder.up_blocks.2.resnets.2.conv2.weight": "model-00002-of-00002.safetensors",
|
1017 |
+
"vae.decoder.up_blocks.2.resnets.2.norm1.bias": "model-00002-of-00002.safetensors",
|
1018 |
+
"vae.decoder.up_blocks.2.resnets.2.norm1.weight": "model-00002-of-00002.safetensors",
|
1019 |
+
"vae.decoder.up_blocks.2.resnets.2.norm2.bias": "model-00002-of-00002.safetensors",
|
1020 |
+
"vae.decoder.up_blocks.2.resnets.2.norm2.weight": "model-00002-of-00002.safetensors",
|
1021 |
+
"vae.decoder.up_blocks.2.upsamplers.0.conv.bias": "model-00002-of-00002.safetensors",
|
1022 |
+
"vae.decoder.up_blocks.2.upsamplers.0.conv.weight": "model-00002-of-00002.safetensors",
|
1023 |
+
"vae.decoder.up_blocks.3.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
1024 |
+
"vae.decoder.up_blocks.3.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
1025 |
+
"vae.decoder.up_blocks.3.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
1026 |
+
"vae.decoder.up_blocks.3.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
1027 |
+
"vae.decoder.up_blocks.3.resnets.0.conv_shortcut.bias": "model-00002-of-00002.safetensors",
|
1028 |
+
"vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight": "model-00002-of-00002.safetensors",
|
1029 |
+
"vae.decoder.up_blocks.3.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1030 |
+
"vae.decoder.up_blocks.3.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1031 |
+
"vae.decoder.up_blocks.3.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1032 |
+
"vae.decoder.up_blocks.3.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1033 |
+
"vae.decoder.up_blocks.3.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1034 |
+
"vae.decoder.up_blocks.3.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1035 |
+
"vae.decoder.up_blocks.3.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1036 |
+
"vae.decoder.up_blocks.3.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1037 |
+
"vae.decoder.up_blocks.3.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1038 |
+
"vae.decoder.up_blocks.3.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1039 |
+
"vae.decoder.up_blocks.3.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1040 |
+
"vae.decoder.up_blocks.3.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1041 |
+
"vae.decoder.up_blocks.3.resnets.2.conv1.bias": "model-00002-of-00002.safetensors",
|
1042 |
+
"vae.decoder.up_blocks.3.resnets.2.conv1.weight": "model-00002-of-00002.safetensors",
|
1043 |
+
"vae.decoder.up_blocks.3.resnets.2.conv2.bias": "model-00002-of-00002.safetensors",
|
1044 |
+
"vae.decoder.up_blocks.3.resnets.2.conv2.weight": "model-00002-of-00002.safetensors",
|
1045 |
+
"vae.decoder.up_blocks.3.resnets.2.norm1.bias": "model-00002-of-00002.safetensors",
|
1046 |
+
"vae.decoder.up_blocks.3.resnets.2.norm1.weight": "model-00002-of-00002.safetensors",
|
1047 |
+
"vae.decoder.up_blocks.3.resnets.2.norm2.bias": "model-00002-of-00002.safetensors",
|
1048 |
+
"vae.decoder.up_blocks.3.resnets.2.norm2.weight": "model-00002-of-00002.safetensors",
|
1049 |
+
"vae.encoder.conv_in.bias": "model-00002-of-00002.safetensors",
|
1050 |
+
"vae.encoder.conv_in.weight": "model-00002-of-00002.safetensors",
|
1051 |
+
"vae.encoder.conv_norm_out.bias": "model-00002-of-00002.safetensors",
|
1052 |
+
"vae.encoder.conv_norm_out.weight": "model-00002-of-00002.safetensors",
|
1053 |
+
"vae.encoder.conv_out.bias": "model-00002-of-00002.safetensors",
|
1054 |
+
"vae.encoder.conv_out.weight": "model-00002-of-00002.safetensors",
|
1055 |
+
"vae.encoder.down_blocks.0.downsamplers.0.conv.bias": "model-00002-of-00002.safetensors",
|
1056 |
+
"vae.encoder.down_blocks.0.downsamplers.0.conv.weight": "model-00002-of-00002.safetensors",
|
1057 |
+
"vae.encoder.down_blocks.0.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
1058 |
+
"vae.encoder.down_blocks.0.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
1059 |
+
"vae.encoder.down_blocks.0.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
1060 |
+
"vae.encoder.down_blocks.0.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
1061 |
+
"vae.encoder.down_blocks.0.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1062 |
+
"vae.encoder.down_blocks.0.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1063 |
+
"vae.encoder.down_blocks.0.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1064 |
+
"vae.encoder.down_blocks.0.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1065 |
+
"vae.encoder.down_blocks.0.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1066 |
+
"vae.encoder.down_blocks.0.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1067 |
+
"vae.encoder.down_blocks.0.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1068 |
+
"vae.encoder.down_blocks.0.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1069 |
+
"vae.encoder.down_blocks.0.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1070 |
+
"vae.encoder.down_blocks.0.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1071 |
+
"vae.encoder.down_blocks.0.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1072 |
+
"vae.encoder.down_blocks.0.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1073 |
+
"vae.encoder.down_blocks.1.downsamplers.0.conv.bias": "model-00002-of-00002.safetensors",
|
1074 |
+
"vae.encoder.down_blocks.1.downsamplers.0.conv.weight": "model-00002-of-00002.safetensors",
|
1075 |
+
"vae.encoder.down_blocks.1.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
1076 |
+
"vae.encoder.down_blocks.1.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
1077 |
+
"vae.encoder.down_blocks.1.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
1078 |
+
"vae.encoder.down_blocks.1.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
1079 |
+
"vae.encoder.down_blocks.1.resnets.0.conv_shortcut.bias": "model-00002-of-00002.safetensors",
|
1080 |
+
"vae.encoder.down_blocks.1.resnets.0.conv_shortcut.weight": "model-00002-of-00002.safetensors",
|
1081 |
+
"vae.encoder.down_blocks.1.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1082 |
+
"vae.encoder.down_blocks.1.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1083 |
+
"vae.encoder.down_blocks.1.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1084 |
+
"vae.encoder.down_blocks.1.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1085 |
+
"vae.encoder.down_blocks.1.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1086 |
+
"vae.encoder.down_blocks.1.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1087 |
+
"vae.encoder.down_blocks.1.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1088 |
+
"vae.encoder.down_blocks.1.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1089 |
+
"vae.encoder.down_blocks.1.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1090 |
+
"vae.encoder.down_blocks.1.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1091 |
+
"vae.encoder.down_blocks.1.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1092 |
+
"vae.encoder.down_blocks.1.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1093 |
+
"vae.encoder.down_blocks.2.downsamplers.0.conv.bias": "model-00002-of-00002.safetensors",
|
1094 |
+
"vae.encoder.down_blocks.2.downsamplers.0.conv.weight": "model-00002-of-00002.safetensors",
|
1095 |
+
"vae.encoder.down_blocks.2.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
1096 |
+
"vae.encoder.down_blocks.2.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
1097 |
+
"vae.encoder.down_blocks.2.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
1098 |
+
"vae.encoder.down_blocks.2.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
1099 |
+
"vae.encoder.down_blocks.2.resnets.0.conv_shortcut.bias": "model-00002-of-00002.safetensors",
|
1100 |
+
"vae.encoder.down_blocks.2.resnets.0.conv_shortcut.weight": "model-00002-of-00002.safetensors",
|
1101 |
+
"vae.encoder.down_blocks.2.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1102 |
+
"vae.encoder.down_blocks.2.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1103 |
+
"vae.encoder.down_blocks.2.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1104 |
+
"vae.encoder.down_blocks.2.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1105 |
+
"vae.encoder.down_blocks.2.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1106 |
+
"vae.encoder.down_blocks.2.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1107 |
+
"vae.encoder.down_blocks.2.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1108 |
+
"vae.encoder.down_blocks.2.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1109 |
+
"vae.encoder.down_blocks.2.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1110 |
+
"vae.encoder.down_blocks.2.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1111 |
+
"vae.encoder.down_blocks.2.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1112 |
+
"vae.encoder.down_blocks.2.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1113 |
+
"vae.encoder.down_blocks.3.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
1114 |
+
"vae.encoder.down_blocks.3.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
1115 |
+
"vae.encoder.down_blocks.3.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
1116 |
+
"vae.encoder.down_blocks.3.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
1117 |
+
"vae.encoder.down_blocks.3.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1118 |
+
"vae.encoder.down_blocks.3.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1119 |
+
"vae.encoder.down_blocks.3.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1120 |
+
"vae.encoder.down_blocks.3.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1121 |
+
"vae.encoder.down_blocks.3.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1122 |
+
"vae.encoder.down_blocks.3.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1123 |
+
"vae.encoder.down_blocks.3.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1124 |
+
"vae.encoder.down_blocks.3.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1125 |
+
"vae.encoder.down_blocks.3.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1126 |
+
"vae.encoder.down_blocks.3.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1127 |
+
"vae.encoder.down_blocks.3.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1128 |
+
"vae.encoder.down_blocks.3.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1129 |
+
"vae.encoder.mid_block.attentions.0.group_norm.bias": "model-00002-of-00002.safetensors",
|
1130 |
+
"vae.encoder.mid_block.attentions.0.group_norm.weight": "model-00002-of-00002.safetensors",
|
1131 |
+
"vae.encoder.mid_block.attentions.0.to_k.bias": "model-00002-of-00002.safetensors",
|
1132 |
+
"vae.encoder.mid_block.attentions.0.to_k.weight": "model-00002-of-00002.safetensors",
|
1133 |
+
"vae.encoder.mid_block.attentions.0.to_out.0.bias": "model-00002-of-00002.safetensors",
|
1134 |
+
"vae.encoder.mid_block.attentions.0.to_out.0.weight": "model-00002-of-00002.safetensors",
|
1135 |
+
"vae.encoder.mid_block.attentions.0.to_q.bias": "model-00002-of-00002.safetensors",
|
1136 |
+
"vae.encoder.mid_block.attentions.0.to_q.weight": "model-00002-of-00002.safetensors",
|
1137 |
+
"vae.encoder.mid_block.attentions.0.to_v.bias": "model-00002-of-00002.safetensors",
|
1138 |
+
"vae.encoder.mid_block.attentions.0.to_v.weight": "model-00002-of-00002.safetensors",
|
1139 |
+
"vae.encoder.mid_block.resnets.0.conv1.bias": "model-00002-of-00002.safetensors",
|
1140 |
+
"vae.encoder.mid_block.resnets.0.conv1.weight": "model-00002-of-00002.safetensors",
|
1141 |
+
"vae.encoder.mid_block.resnets.0.conv2.bias": "model-00002-of-00002.safetensors",
|
1142 |
+
"vae.encoder.mid_block.resnets.0.conv2.weight": "model-00002-of-00002.safetensors",
|
1143 |
+
"vae.encoder.mid_block.resnets.0.norm1.bias": "model-00002-of-00002.safetensors",
|
1144 |
+
"vae.encoder.mid_block.resnets.0.norm1.weight": "model-00002-of-00002.safetensors",
|
1145 |
+
"vae.encoder.mid_block.resnets.0.norm2.bias": "model-00002-of-00002.safetensors",
|
1146 |
+
"vae.encoder.mid_block.resnets.0.norm2.weight": "model-00002-of-00002.safetensors",
|
1147 |
+
"vae.encoder.mid_block.resnets.1.conv1.bias": "model-00002-of-00002.safetensors",
|
1148 |
+
"vae.encoder.mid_block.resnets.1.conv1.weight": "model-00002-of-00002.safetensors",
|
1149 |
+
"vae.encoder.mid_block.resnets.1.conv2.bias": "model-00002-of-00002.safetensors",
|
1150 |
+
"vae.encoder.mid_block.resnets.1.conv2.weight": "model-00002-of-00002.safetensors",
|
1151 |
+
"vae.encoder.mid_block.resnets.1.norm1.bias": "model-00002-of-00002.safetensors",
|
1152 |
+
"vae.encoder.mid_block.resnets.1.norm1.weight": "model-00002-of-00002.safetensors",
|
1153 |
+
"vae.encoder.mid_block.resnets.1.norm2.bias": "model-00002-of-00002.safetensors",
|
1154 |
+
"vae.encoder.mid_block.resnets.1.norm2.weight": "model-00002-of-00002.safetensors",
|
1155 |
+
"vae.post_quant_conv.bias": "model-00002-of-00002.safetensors",
|
1156 |
+
"vae.post_quant_conv.weight": "model-00002-of-00002.safetensors",
|
1157 |
+
"vae.quant_conv.bias": "model-00002-of-00002.safetensors",
|
1158 |
+
"vae.quant_conv.weight": "model-00002-of-00002.safetensors"
|
1159 |
+
}
|
1160 |
+
}
|
lumina_ar-1_diffuser-6_step-600/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:2b504fc5019a99934092ef7e1da463ce95582276f89173453d52a27e805f00b3
|
3 |
+
size 9074944955
|
lumina_ar-1_diffuser-6_step-600/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:17f7538fddc4f5a5e61f7a97ae5f6af654d623e3229add60e08446f310c78e98
|
3 |
+
size 14244
|
lumina_ar-1_diffuser-6_step-600/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:df3cd0cb1c67a326b465332bde0ecdeac62626bea0e2ea96c60fa6d8786b9f65
|
3 |
+
size 1064
|
lumina_ar-1_diffuser-6_step-600/trainer_state.json
ADDED
@@ -0,0 +1,4233 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 0.0009366453111535724,
|
5 |
+
"eval_steps": 500,
|
6 |
+
"global_step": 600,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 1.5610755185892873e-06,
|
13 |
+
"grad_norm": 652.0,
|
14 |
+
"learning_rate": 0.0001,
|
15 |
+
"loss": 17.8237,
|
16 |
+
"step": 1
|
17 |
+
},
|
18 |
+
{
|
19 |
+
"epoch": 3.1221510371785745e-06,
|
20 |
+
"grad_norm": 156.0,
|
21 |
+
"learning_rate": 0.0001,
|
22 |
+
"loss": 7.3554,
|
23 |
+
"step": 2
|
24 |
+
},
|
25 |
+
{
|
26 |
+
"epoch": 4.683226555767862e-06,
|
27 |
+
"grad_norm": 79.5,
|
28 |
+
"learning_rate": 0.0001,
|
29 |
+
"loss": 3.2385,
|
30 |
+
"step": 3
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 6.244302074357149e-06,
|
34 |
+
"grad_norm": 1752.0,
|
35 |
+
"learning_rate": 0.0001,
|
36 |
+
"loss": 3.6441,
|
37 |
+
"step": 4
|
38 |
+
},
|
39 |
+
{
|
40 |
+
"epoch": 7.805377592946436e-06,
|
41 |
+
"grad_norm": 79.5,
|
42 |
+
"learning_rate": 0.0001,
|
43 |
+
"loss": 3.5411,
|
44 |
+
"step": 5
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 9.366453111535724e-06,
|
48 |
+
"grad_norm": 7.5,
|
49 |
+
"learning_rate": 0.0001,
|
50 |
+
"loss": 1.7892,
|
51 |
+
"step": 6
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 1.0927528630125011e-05,
|
55 |
+
"grad_norm": 12.3125,
|
56 |
+
"learning_rate": 0.0001,
|
57 |
+
"loss": 1.6314,
|
58 |
+
"step": 7
|
59 |
+
},
|
60 |
+
{
|
61 |
+
"epoch": 1.2488604148714298e-05,
|
62 |
+
"grad_norm": 4.28125,
|
63 |
+
"learning_rate": 0.0001,
|
64 |
+
"loss": 1.4563,
|
65 |
+
"step": 8
|
66 |
+
},
|
67 |
+
{
|
68 |
+
"epoch": 1.4049679667303585e-05,
|
69 |
+
"grad_norm": 4.0,
|
70 |
+
"learning_rate": 0.0001,
|
71 |
+
"loss": 1.3586,
|
72 |
+
"step": 9
|
73 |
+
},
|
74 |
+
{
|
75 |
+
"epoch": 1.5610755185892873e-05,
|
76 |
+
"grad_norm": 3.890625,
|
77 |
+
"learning_rate": 0.0001,
|
78 |
+
"loss": 1.3606,
|
79 |
+
"step": 10
|
80 |
+
},
|
81 |
+
{
|
82 |
+
"epoch": 1.717183070448216e-05,
|
83 |
+
"grad_norm": 1.7421875,
|
84 |
+
"learning_rate": 0.0001,
|
85 |
+
"loss": 1.2555,
|
86 |
+
"step": 11
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 1.8732906223071447e-05,
|
90 |
+
"grad_norm": 1.265625,
|
91 |
+
"learning_rate": 0.0001,
|
92 |
+
"loss": 1.2124,
|
93 |
+
"step": 12
|
94 |
+
},
|
95 |
+
{
|
96 |
+
"epoch": 2.0293981741660735e-05,
|
97 |
+
"grad_norm": 1.3828125,
|
98 |
+
"learning_rate": 0.0001,
|
99 |
+
"loss": 1.1521,
|
100 |
+
"step": 13
|
101 |
+
},
|
102 |
+
{
|
103 |
+
"epoch": 2.1855057260250022e-05,
|
104 |
+
"grad_norm": 3.421875,
|
105 |
+
"learning_rate": 0.0001,
|
106 |
+
"loss": 1.1544,
|
107 |
+
"step": 14
|
108 |
+
},
|
109 |
+
{
|
110 |
+
"epoch": 2.341613277883931e-05,
|
111 |
+
"grad_norm": 2.96875,
|
112 |
+
"learning_rate": 0.0001,
|
113 |
+
"loss": 1.0953,
|
114 |
+
"step": 15
|
115 |
+
},
|
116 |
+
{
|
117 |
+
"epoch": 2.4977208297428596e-05,
|
118 |
+
"grad_norm": 1.5546875,
|
119 |
+
"learning_rate": 0.0001,
|
120 |
+
"loss": 1.0563,
|
121 |
+
"step": 16
|
122 |
+
},
|
123 |
+
{
|
124 |
+
"epoch": 2.6538283816017884e-05,
|
125 |
+
"grad_norm": 1.3125,
|
126 |
+
"learning_rate": 0.0001,
|
127 |
+
"loss": 1.024,
|
128 |
+
"step": 17
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 2.809935933460717e-05,
|
132 |
+
"grad_norm": 1.0234375,
|
133 |
+
"learning_rate": 0.0001,
|
134 |
+
"loss": 0.9929,
|
135 |
+
"step": 18
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 2.9660434853196458e-05,
|
139 |
+
"grad_norm": 1.1796875,
|
140 |
+
"learning_rate": 0.0001,
|
141 |
+
"loss": 0.973,
|
142 |
+
"step": 19
|
143 |
+
},
|
144 |
+
{
|
145 |
+
"epoch": 3.1221510371785745e-05,
|
146 |
+
"grad_norm": 1.046875,
|
147 |
+
"learning_rate": 0.0001,
|
148 |
+
"loss": 0.9622,
|
149 |
+
"step": 20
|
150 |
+
},
|
151 |
+
{
|
152 |
+
"epoch": 3.278258589037503e-05,
|
153 |
+
"grad_norm": 2.078125,
|
154 |
+
"learning_rate": 0.0001,
|
155 |
+
"loss": 0.9719,
|
156 |
+
"step": 21
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 3.434366140896432e-05,
|
160 |
+
"grad_norm": 1.6171875,
|
161 |
+
"learning_rate": 0.0001,
|
162 |
+
"loss": 0.9358,
|
163 |
+
"step": 22
|
164 |
+
},
|
165 |
+
{
|
166 |
+
"epoch": 3.590473692755361e-05,
|
167 |
+
"grad_norm": 1.9140625,
|
168 |
+
"learning_rate": 0.0001,
|
169 |
+
"loss": 0.9714,
|
170 |
+
"step": 23
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 3.7465812446142895e-05,
|
174 |
+
"grad_norm": 0.83984375,
|
175 |
+
"learning_rate": 0.0001,
|
176 |
+
"loss": 0.9272,
|
177 |
+
"step": 24
|
178 |
+
},
|
179 |
+
{
|
180 |
+
"epoch": 3.902688796473218e-05,
|
181 |
+
"grad_norm": 0.89453125,
|
182 |
+
"learning_rate": 0.0001,
|
183 |
+
"loss": 0.904,
|
184 |
+
"step": 25
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 4.058796348332147e-05,
|
188 |
+
"grad_norm": 1.75,
|
189 |
+
"learning_rate": 0.0001,
|
190 |
+
"loss": 0.911,
|
191 |
+
"step": 26
|
192 |
+
},
|
193 |
+
{
|
194 |
+
"epoch": 4.2149039001910756e-05,
|
195 |
+
"grad_norm": 1.75,
|
196 |
+
"learning_rate": 0.0001,
|
197 |
+
"loss": 0.8867,
|
198 |
+
"step": 27
|
199 |
+
},
|
200 |
+
{
|
201 |
+
"epoch": 4.3710114520500044e-05,
|
202 |
+
"grad_norm": 0.9140625,
|
203 |
+
"learning_rate": 0.0001,
|
204 |
+
"loss": 0.8738,
|
205 |
+
"step": 28
|
206 |
+
},
|
207 |
+
{
|
208 |
+
"epoch": 4.527119003908933e-05,
|
209 |
+
"grad_norm": 1.4921875,
|
210 |
+
"learning_rate": 0.0001,
|
211 |
+
"loss": 0.8976,
|
212 |
+
"step": 29
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 4.683226555767862e-05,
|
216 |
+
"grad_norm": 0.875,
|
217 |
+
"learning_rate": 0.0001,
|
218 |
+
"loss": 0.8614,
|
219 |
+
"step": 30
|
220 |
+
},
|
221 |
+
{
|
222 |
+
"epoch": 4.8393341076267905e-05,
|
223 |
+
"grad_norm": 1.3125,
|
224 |
+
"learning_rate": 0.0001,
|
225 |
+
"loss": 0.8771,
|
226 |
+
"step": 31
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 4.995441659485719e-05,
|
230 |
+
"grad_norm": 1.265625,
|
231 |
+
"learning_rate": 0.0001,
|
232 |
+
"loss": 0.8612,
|
233 |
+
"step": 32
|
234 |
+
},
|
235 |
+
{
|
236 |
+
"epoch": 5.151549211344648e-05,
|
237 |
+
"grad_norm": 0.6484375,
|
238 |
+
"learning_rate": 0.0001,
|
239 |
+
"loss": 0.8565,
|
240 |
+
"step": 33
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 5.307656763203577e-05,
|
244 |
+
"grad_norm": 1.25,
|
245 |
+
"learning_rate": 0.0001,
|
246 |
+
"loss": 0.8845,
|
247 |
+
"step": 34
|
248 |
+
},
|
249 |
+
{
|
250 |
+
"epoch": 5.4637643150625055e-05,
|
251 |
+
"grad_norm": 1.40625,
|
252 |
+
"learning_rate": 0.0001,
|
253 |
+
"loss": 0.8489,
|
254 |
+
"step": 35
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 5.619871866921434e-05,
|
258 |
+
"grad_norm": 0.65625,
|
259 |
+
"learning_rate": 0.0001,
|
260 |
+
"loss": 0.8561,
|
261 |
+
"step": 36
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 5.775979418780363e-05,
|
265 |
+
"grad_norm": 0.6640625,
|
266 |
+
"learning_rate": 0.0001,
|
267 |
+
"loss": 0.8454,
|
268 |
+
"step": 37
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 5.9320869706392916e-05,
|
272 |
+
"grad_norm": 0.671875,
|
273 |
+
"learning_rate": 0.0001,
|
274 |
+
"loss": 0.8283,
|
275 |
+
"step": 38
|
276 |
+
},
|
277 |
+
{
|
278 |
+
"epoch": 6.0881945224982204e-05,
|
279 |
+
"grad_norm": 0.609375,
|
280 |
+
"learning_rate": 0.0001,
|
281 |
+
"loss": 0.8494,
|
282 |
+
"step": 39
|
283 |
+
},
|
284 |
+
{
|
285 |
+
"epoch": 6.244302074357149e-05,
|
286 |
+
"grad_norm": 0.5078125,
|
287 |
+
"learning_rate": 0.0001,
|
288 |
+
"loss": 0.8355,
|
289 |
+
"step": 40
|
290 |
+
},
|
291 |
+
{
|
292 |
+
"epoch": 6.400409626216078e-05,
|
293 |
+
"grad_norm": 0.984375,
|
294 |
+
"learning_rate": 0.0001,
|
295 |
+
"loss": 0.8322,
|
296 |
+
"step": 41
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 6.556517178075007e-05,
|
300 |
+
"grad_norm": 0.515625,
|
301 |
+
"learning_rate": 0.0001,
|
302 |
+
"loss": 0.8384,
|
303 |
+
"step": 42
|
304 |
+
},
|
305 |
+
{
|
306 |
+
"epoch": 6.712624729933935e-05,
|
307 |
+
"grad_norm": 0.53125,
|
308 |
+
"learning_rate": 0.0001,
|
309 |
+
"loss": 0.833,
|
310 |
+
"step": 43
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 6.868732281792864e-05,
|
314 |
+
"grad_norm": 0.68359375,
|
315 |
+
"learning_rate": 0.0001,
|
316 |
+
"loss": 0.8259,
|
317 |
+
"step": 44
|
318 |
+
},
|
319 |
+
{
|
320 |
+
"epoch": 7.024839833651793e-05,
|
321 |
+
"grad_norm": 0.88671875,
|
322 |
+
"learning_rate": 0.0001,
|
323 |
+
"loss": 0.8457,
|
324 |
+
"step": 45
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 7.180947385510721e-05,
|
328 |
+
"grad_norm": 0.75390625,
|
329 |
+
"learning_rate": 0.0001,
|
330 |
+
"loss": 0.8193,
|
331 |
+
"step": 46
|
332 |
+
},
|
333 |
+
{
|
334 |
+
"epoch": 7.33705493736965e-05,
|
335 |
+
"grad_norm": 0.59765625,
|
336 |
+
"learning_rate": 0.0001,
|
337 |
+
"loss": 0.8376,
|
338 |
+
"step": 47
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 7.493162489228579e-05,
|
342 |
+
"grad_norm": 0.7265625,
|
343 |
+
"learning_rate": 0.0001,
|
344 |
+
"loss": 0.8279,
|
345 |
+
"step": 48
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 7.649270041087508e-05,
|
349 |
+
"grad_norm": 0.48046875,
|
350 |
+
"learning_rate": 0.0001,
|
351 |
+
"loss": 0.8193,
|
352 |
+
"step": 49
|
353 |
+
},
|
354 |
+
{
|
355 |
+
"epoch": 7.805377592946436e-05,
|
356 |
+
"grad_norm": 0.5390625,
|
357 |
+
"learning_rate": 0.0001,
|
358 |
+
"loss": 0.8055,
|
359 |
+
"step": 50
|
360 |
+
},
|
361 |
+
{
|
362 |
+
"epoch": 7.961485144805365e-05,
|
363 |
+
"grad_norm": 0.55859375,
|
364 |
+
"learning_rate": 0.0001,
|
365 |
+
"loss": 0.8238,
|
366 |
+
"step": 51
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 8.117592696664294e-05,
|
370 |
+
"grad_norm": 0.48828125,
|
371 |
+
"learning_rate": 0.0001,
|
372 |
+
"loss": 0.813,
|
373 |
+
"step": 52
|
374 |
+
},
|
375 |
+
{
|
376 |
+
"epoch": 8.273700248523223e-05,
|
377 |
+
"grad_norm": 0.5703125,
|
378 |
+
"learning_rate": 0.0001,
|
379 |
+
"loss": 0.8004,
|
380 |
+
"step": 53
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 8.429807800382151e-05,
|
384 |
+
"grad_norm": 0.470703125,
|
385 |
+
"learning_rate": 0.0001,
|
386 |
+
"loss": 0.8104,
|
387 |
+
"step": 54
|
388 |
+
},
|
389 |
+
{
|
390 |
+
"epoch": 8.58591535224108e-05,
|
391 |
+
"grad_norm": 0.458984375,
|
392 |
+
"learning_rate": 0.0001,
|
393 |
+
"loss": 0.8296,
|
394 |
+
"step": 55
|
395 |
+
},
|
396 |
+
{
|
397 |
+
"epoch": 8.742022904100009e-05,
|
398 |
+
"grad_norm": 0.55859375,
|
399 |
+
"learning_rate": 0.0001,
|
400 |
+
"loss": 0.7794,
|
401 |
+
"step": 56
|
402 |
+
},
|
403 |
+
{
|
404 |
+
"epoch": 8.898130455958937e-05,
|
405 |
+
"grad_norm": 0.408203125,
|
406 |
+
"learning_rate": 0.0001,
|
407 |
+
"loss": 0.8021,
|
408 |
+
"step": 57
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 9.054238007817866e-05,
|
412 |
+
"grad_norm": 0.625,
|
413 |
+
"learning_rate": 0.0001,
|
414 |
+
"loss": 0.7869,
|
415 |
+
"step": 58
|
416 |
+
},
|
417 |
+
{
|
418 |
+
"epoch": 9.210345559676795e-05,
|
419 |
+
"grad_norm": 0.466796875,
|
420 |
+
"learning_rate": 0.0001,
|
421 |
+
"loss": 0.7933,
|
422 |
+
"step": 59
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 9.366453111535724e-05,
|
426 |
+
"grad_norm": 0.52734375,
|
427 |
+
"learning_rate": 0.0001,
|
428 |
+
"loss": 0.8075,
|
429 |
+
"step": 60
|
430 |
+
},
|
431 |
+
{
|
432 |
+
"epoch": 9.522560663394652e-05,
|
433 |
+
"grad_norm": 0.53125,
|
434 |
+
"learning_rate": 0.0001,
|
435 |
+
"loss": 0.7948,
|
436 |
+
"step": 61
|
437 |
+
},
|
438 |
+
{
|
439 |
+
"epoch": 9.678668215253581e-05,
|
440 |
+
"grad_norm": 0.515625,
|
441 |
+
"learning_rate": 0.0001,
|
442 |
+
"loss": 0.795,
|
443 |
+
"step": 62
|
444 |
+
},
|
445 |
+
{
|
446 |
+
"epoch": 9.83477576711251e-05,
|
447 |
+
"grad_norm": 0.61328125,
|
448 |
+
"learning_rate": 0.0001,
|
449 |
+
"loss": 0.7909,
|
450 |
+
"step": 63
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 9.990883318971439e-05,
|
454 |
+
"grad_norm": 0.52734375,
|
455 |
+
"learning_rate": 0.0001,
|
456 |
+
"loss": 0.799,
|
457 |
+
"step": 64
|
458 |
+
},
|
459 |
+
{
|
460 |
+
"epoch": 0.00010146990870830367,
|
461 |
+
"grad_norm": 0.490234375,
|
462 |
+
"learning_rate": 0.0001,
|
463 |
+
"loss": 0.7839,
|
464 |
+
"step": 65
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.00010303098422689296,
|
468 |
+
"grad_norm": 0.58203125,
|
469 |
+
"learning_rate": 0.0001,
|
470 |
+
"loss": 0.807,
|
471 |
+
"step": 66
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 0.00010459205974548225,
|
475 |
+
"grad_norm": 0.55078125,
|
476 |
+
"learning_rate": 0.0001,
|
477 |
+
"loss": 0.7862,
|
478 |
+
"step": 67
|
479 |
+
},
|
480 |
+
{
|
481 |
+
"epoch": 0.00010615313526407153,
|
482 |
+
"grad_norm": 0.48828125,
|
483 |
+
"learning_rate": 0.0001,
|
484 |
+
"loss": 0.7887,
|
485 |
+
"step": 68
|
486 |
+
},
|
487 |
+
{
|
488 |
+
"epoch": 0.00010771421078266082,
|
489 |
+
"grad_norm": 0.52734375,
|
490 |
+
"learning_rate": 0.0001,
|
491 |
+
"loss": 0.7948,
|
492 |
+
"step": 69
|
493 |
+
},
|
494 |
+
{
|
495 |
+
"epoch": 0.00010927528630125011,
|
496 |
+
"grad_norm": 0.53125,
|
497 |
+
"learning_rate": 0.0001,
|
498 |
+
"loss": 0.7806,
|
499 |
+
"step": 70
|
500 |
+
},
|
501 |
+
{
|
502 |
+
"epoch": 0.0001108363618198394,
|
503 |
+
"grad_norm": 0.7109375,
|
504 |
+
"learning_rate": 0.0001,
|
505 |
+
"loss": 0.7856,
|
506 |
+
"step": 71
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.00011239743733842868,
|
510 |
+
"grad_norm": 0.466796875,
|
511 |
+
"learning_rate": 0.0001,
|
512 |
+
"loss": 0.7846,
|
513 |
+
"step": 72
|
514 |
+
},
|
515 |
+
{
|
516 |
+
"epoch": 0.00011395851285701797,
|
517 |
+
"grad_norm": 0.66015625,
|
518 |
+
"learning_rate": 0.0001,
|
519 |
+
"loss": 0.7761,
|
520 |
+
"step": 73
|
521 |
+
},
|
522 |
+
{
|
523 |
+
"epoch": 0.00011551958837560726,
|
524 |
+
"grad_norm": 0.640625,
|
525 |
+
"learning_rate": 0.0001,
|
526 |
+
"loss": 0.7666,
|
527 |
+
"step": 74
|
528 |
+
},
|
529 |
+
{
|
530 |
+
"epoch": 0.00011708066389419655,
|
531 |
+
"grad_norm": 0.5234375,
|
532 |
+
"learning_rate": 0.0001,
|
533 |
+
"loss": 0.7741,
|
534 |
+
"step": 75
|
535 |
+
},
|
536 |
+
{
|
537 |
+
"epoch": 0.00011864173941278583,
|
538 |
+
"grad_norm": 0.5,
|
539 |
+
"learning_rate": 0.0001,
|
540 |
+
"loss": 0.7836,
|
541 |
+
"step": 76
|
542 |
+
},
|
543 |
+
{
|
544 |
+
"epoch": 0.00012020281493137512,
|
545 |
+
"grad_norm": 0.56640625,
|
546 |
+
"learning_rate": 0.0001,
|
547 |
+
"loss": 0.7545,
|
548 |
+
"step": 77
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.00012176389044996441,
|
552 |
+
"grad_norm": 0.546875,
|
553 |
+
"learning_rate": 0.0001,
|
554 |
+
"loss": 0.7529,
|
555 |
+
"step": 78
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 0.0001233249659685537,
|
559 |
+
"grad_norm": 0.7109375,
|
560 |
+
"learning_rate": 0.0001,
|
561 |
+
"loss": 0.7715,
|
562 |
+
"step": 79
|
563 |
+
},
|
564 |
+
{
|
565 |
+
"epoch": 0.00012488604148714298,
|
566 |
+
"grad_norm": 0.6171875,
|
567 |
+
"learning_rate": 0.0001,
|
568 |
+
"loss": 0.7633,
|
569 |
+
"step": 80
|
570 |
+
},
|
571 |
+
{
|
572 |
+
"epoch": 0.00012644711700573227,
|
573 |
+
"grad_norm": 0.625,
|
574 |
+
"learning_rate": 0.0001,
|
575 |
+
"loss": 0.7958,
|
576 |
+
"step": 81
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 0.00012800819252432156,
|
580 |
+
"grad_norm": 0.890625,
|
581 |
+
"learning_rate": 0.0001,
|
582 |
+
"loss": 0.7495,
|
583 |
+
"step": 82
|
584 |
+
},
|
585 |
+
{
|
586 |
+
"epoch": 0.00012956926804291084,
|
587 |
+
"grad_norm": 0.671875,
|
588 |
+
"learning_rate": 0.0001,
|
589 |
+
"loss": 0.7627,
|
590 |
+
"step": 83
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.00013113034356150013,
|
594 |
+
"grad_norm": 0.6796875,
|
595 |
+
"learning_rate": 0.0001,
|
596 |
+
"loss": 0.7713,
|
597 |
+
"step": 84
|
598 |
+
},
|
599 |
+
{
|
600 |
+
"epoch": 0.00013269141908008942,
|
601 |
+
"grad_norm": 0.46875,
|
602 |
+
"learning_rate": 0.0001,
|
603 |
+
"loss": 0.7516,
|
604 |
+
"step": 85
|
605 |
+
},
|
606 |
+
{
|
607 |
+
"epoch": 0.0001342524945986787,
|
608 |
+
"grad_norm": 0.55859375,
|
609 |
+
"learning_rate": 0.0001,
|
610 |
+
"loss": 0.7383,
|
611 |
+
"step": 86
|
612 |
+
},
|
613 |
+
{
|
614 |
+
"epoch": 0.000135813570117268,
|
615 |
+
"grad_norm": 0.703125,
|
616 |
+
"learning_rate": 0.0001,
|
617 |
+
"loss": 0.7607,
|
618 |
+
"step": 87
|
619 |
+
},
|
620 |
+
{
|
621 |
+
"epoch": 0.00013737464563585728,
|
622 |
+
"grad_norm": 0.546875,
|
623 |
+
"learning_rate": 0.0001,
|
624 |
+
"loss": 0.7424,
|
625 |
+
"step": 88
|
626 |
+
},
|
627 |
+
{
|
628 |
+
"epoch": 0.00013893572115444657,
|
629 |
+
"grad_norm": 0.50390625,
|
630 |
+
"learning_rate": 0.0001,
|
631 |
+
"loss": 0.7606,
|
632 |
+
"step": 89
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.00014049679667303585,
|
636 |
+
"grad_norm": 0.95703125,
|
637 |
+
"learning_rate": 0.0001,
|
638 |
+
"loss": 0.7433,
|
639 |
+
"step": 90
|
640 |
+
},
|
641 |
+
{
|
642 |
+
"epoch": 0.00014205787219162514,
|
643 |
+
"grad_norm": 0.515625,
|
644 |
+
"learning_rate": 0.0001,
|
645 |
+
"loss": 0.7596,
|
646 |
+
"step": 91
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 0.00014361894771021443,
|
650 |
+
"grad_norm": 0.921875,
|
651 |
+
"learning_rate": 0.0001,
|
652 |
+
"loss": 0.7564,
|
653 |
+
"step": 92
|
654 |
+
},
|
655 |
+
{
|
656 |
+
"epoch": 0.00014518002322880372,
|
657 |
+
"grad_norm": 0.890625,
|
658 |
+
"learning_rate": 0.0001,
|
659 |
+
"loss": 0.719,
|
660 |
+
"step": 93
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 0.000146741098747393,
|
664 |
+
"grad_norm": 0.61328125,
|
665 |
+
"learning_rate": 0.0001,
|
666 |
+
"loss": 0.7605,
|
667 |
+
"step": 94
|
668 |
+
},
|
669 |
+
{
|
670 |
+
"epoch": 0.0001483021742659823,
|
671 |
+
"grad_norm": 0.83984375,
|
672 |
+
"learning_rate": 0.0001,
|
673 |
+
"loss": 0.7443,
|
674 |
+
"step": 95
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.00014986324978457158,
|
678 |
+
"grad_norm": 0.490234375,
|
679 |
+
"learning_rate": 0.0001,
|
680 |
+
"loss": 0.7638,
|
681 |
+
"step": 96
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 0.00015142432530316087,
|
685 |
+
"grad_norm": 0.80078125,
|
686 |
+
"learning_rate": 0.0001,
|
687 |
+
"loss": 0.7333,
|
688 |
+
"step": 97
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 0.00015298540082175015,
|
692 |
+
"grad_norm": 0.5390625,
|
693 |
+
"learning_rate": 0.0001,
|
694 |
+
"loss": 0.7301,
|
695 |
+
"step": 98
|
696 |
+
},
|
697 |
+
{
|
698 |
+
"epoch": 0.00015454647634033944,
|
699 |
+
"grad_norm": 1.109375,
|
700 |
+
"learning_rate": 0.0001,
|
701 |
+
"loss": 0.7423,
|
702 |
+
"step": 99
|
703 |
+
},
|
704 |
+
{
|
705 |
+
"epoch": 0.00015610755185892873,
|
706 |
+
"grad_norm": 0.5859375,
|
707 |
+
"learning_rate": 0.0001,
|
708 |
+
"loss": 0.7158,
|
709 |
+
"step": 100
|
710 |
+
},
|
711 |
+
{
|
712 |
+
"epoch": 0.00015766862737751801,
|
713 |
+
"grad_norm": 0.75,
|
714 |
+
"learning_rate": 0.0001,
|
715 |
+
"loss": 0.7393,
|
716 |
+
"step": 101
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.0001592297028961073,
|
720 |
+
"grad_norm": 0.984375,
|
721 |
+
"learning_rate": 0.0001,
|
722 |
+
"loss": 0.7435,
|
723 |
+
"step": 102
|
724 |
+
},
|
725 |
+
{
|
726 |
+
"epoch": 0.0001607907784146966,
|
727 |
+
"grad_norm": 0.5078125,
|
728 |
+
"learning_rate": 0.0001,
|
729 |
+
"loss": 0.7405,
|
730 |
+
"step": 103
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 0.00016235185393328588,
|
734 |
+
"grad_norm": 0.55859375,
|
735 |
+
"learning_rate": 0.0001,
|
736 |
+
"loss": 0.7235,
|
737 |
+
"step": 104
|
738 |
+
},
|
739 |
+
{
|
740 |
+
"epoch": 0.00016391292945187516,
|
741 |
+
"grad_norm": 0.828125,
|
742 |
+
"learning_rate": 0.0001,
|
743 |
+
"loss": 0.7251,
|
744 |
+
"step": 105
|
745 |
+
},
|
746 |
+
{
|
747 |
+
"epoch": 0.00016547400497046445,
|
748 |
+
"grad_norm": 0.7265625,
|
749 |
+
"learning_rate": 0.0001,
|
750 |
+
"loss": 0.7318,
|
751 |
+
"step": 106
|
752 |
+
},
|
753 |
+
{
|
754 |
+
"epoch": 0.00016703508048905374,
|
755 |
+
"grad_norm": 0.53125,
|
756 |
+
"learning_rate": 0.0001,
|
757 |
+
"loss": 0.7183,
|
758 |
+
"step": 107
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.00016859615600764303,
|
762 |
+
"grad_norm": 0.75,
|
763 |
+
"learning_rate": 0.0001,
|
764 |
+
"loss": 0.7225,
|
765 |
+
"step": 108
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 0.0001701572315262323,
|
769 |
+
"grad_norm": 0.625,
|
770 |
+
"learning_rate": 0.0001,
|
771 |
+
"loss": 0.7148,
|
772 |
+
"step": 109
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 0.0001717183070448216,
|
776 |
+
"grad_norm": 0.75390625,
|
777 |
+
"learning_rate": 0.0001,
|
778 |
+
"loss": 0.7114,
|
779 |
+
"step": 110
|
780 |
+
},
|
781 |
+
{
|
782 |
+
"epoch": 0.0001732793825634109,
|
783 |
+
"grad_norm": 0.48828125,
|
784 |
+
"learning_rate": 0.0001,
|
785 |
+
"loss": 0.7155,
|
786 |
+
"step": 111
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 0.00017484045808200017,
|
790 |
+
"grad_norm": 0.734375,
|
791 |
+
"learning_rate": 0.0001,
|
792 |
+
"loss": 0.7076,
|
793 |
+
"step": 112
|
794 |
+
},
|
795 |
+
{
|
796 |
+
"epoch": 0.00017640153360058946,
|
797 |
+
"grad_norm": 0.7109375,
|
798 |
+
"learning_rate": 0.0001,
|
799 |
+
"loss": 0.7307,
|
800 |
+
"step": 113
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.00017796260911917875,
|
804 |
+
"grad_norm": 1.015625,
|
805 |
+
"learning_rate": 0.0001,
|
806 |
+
"loss": 0.7068,
|
807 |
+
"step": 114
|
808 |
+
},
|
809 |
+
{
|
810 |
+
"epoch": 0.00017952368463776804,
|
811 |
+
"grad_norm": 0.73828125,
|
812 |
+
"learning_rate": 0.0001,
|
813 |
+
"loss": 0.7009,
|
814 |
+
"step": 115
|
815 |
+
},
|
816 |
+
{
|
817 |
+
"epoch": 0.00018108476015635732,
|
818 |
+
"grad_norm": 0.546875,
|
819 |
+
"learning_rate": 0.0001,
|
820 |
+
"loss": 0.7056,
|
821 |
+
"step": 116
|
822 |
+
},
|
823 |
+
{
|
824 |
+
"epoch": 0.0001826458356749466,
|
825 |
+
"grad_norm": 0.6484375,
|
826 |
+
"learning_rate": 0.0001,
|
827 |
+
"loss": 0.7144,
|
828 |
+
"step": 117
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 0.0001842069111935359,
|
832 |
+
"grad_norm": 0.6640625,
|
833 |
+
"learning_rate": 0.0001,
|
834 |
+
"loss": 0.7025,
|
835 |
+
"step": 118
|
836 |
+
},
|
837 |
+
{
|
838 |
+
"epoch": 0.00018576798671212519,
|
839 |
+
"grad_norm": 0.5078125,
|
840 |
+
"learning_rate": 0.0001,
|
841 |
+
"loss": 0.7109,
|
842 |
+
"step": 119
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.00018732906223071447,
|
846 |
+
"grad_norm": 0.5234375,
|
847 |
+
"learning_rate": 0.0001,
|
848 |
+
"loss": 0.689,
|
849 |
+
"step": 120
|
850 |
+
},
|
851 |
+
{
|
852 |
+
"epoch": 0.00018889013774930376,
|
853 |
+
"grad_norm": 0.64453125,
|
854 |
+
"learning_rate": 0.0001,
|
855 |
+
"loss": 0.7034,
|
856 |
+
"step": 121
|
857 |
+
},
|
858 |
+
{
|
859 |
+
"epoch": 0.00019045121326789305,
|
860 |
+
"grad_norm": 0.4609375,
|
861 |
+
"learning_rate": 0.0001,
|
862 |
+
"loss": 0.6927,
|
863 |
+
"step": 122
|
864 |
+
},
|
865 |
+
{
|
866 |
+
"epoch": 0.00019201228878648233,
|
867 |
+
"grad_norm": 0.5,
|
868 |
+
"learning_rate": 0.0001,
|
869 |
+
"loss": 0.6859,
|
870 |
+
"step": 123
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 0.00019357336430507162,
|
874 |
+
"grad_norm": 0.703125,
|
875 |
+
"learning_rate": 0.0001,
|
876 |
+
"loss": 0.6879,
|
877 |
+
"step": 124
|
878 |
+
},
|
879 |
+
{
|
880 |
+
"epoch": 0.0001951344398236609,
|
881 |
+
"grad_norm": 0.5546875,
|
882 |
+
"learning_rate": 0.0001,
|
883 |
+
"loss": 0.6741,
|
884 |
+
"step": 125
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.0001966955153422502,
|
888 |
+
"grad_norm": 0.5390625,
|
889 |
+
"learning_rate": 0.0001,
|
890 |
+
"loss": 0.6855,
|
891 |
+
"step": 126
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 0.00019825659086083948,
|
895 |
+
"grad_norm": 0.8203125,
|
896 |
+
"learning_rate": 0.0001,
|
897 |
+
"loss": 0.7048,
|
898 |
+
"step": 127
|
899 |
+
},
|
900 |
+
{
|
901 |
+
"epoch": 0.00019981766637942877,
|
902 |
+
"grad_norm": 0.515625,
|
903 |
+
"learning_rate": 0.0001,
|
904 |
+
"loss": 0.6746,
|
905 |
+
"step": 128
|
906 |
+
},
|
907 |
+
{
|
908 |
+
"epoch": 0.00020137874189801806,
|
909 |
+
"grad_norm": 0.48046875,
|
910 |
+
"learning_rate": 0.0001,
|
911 |
+
"loss": 0.6686,
|
912 |
+
"step": 129
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 0.00020293981741660735,
|
916 |
+
"grad_norm": 0.61328125,
|
917 |
+
"learning_rate": 0.0001,
|
918 |
+
"loss": 0.6845,
|
919 |
+
"step": 130
|
920 |
+
},
|
921 |
+
{
|
922 |
+
"epoch": 0.00020450089293519663,
|
923 |
+
"grad_norm": 0.53125,
|
924 |
+
"learning_rate": 0.0001,
|
925 |
+
"loss": 0.6702,
|
926 |
+
"step": 131
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.00020606196845378592,
|
930 |
+
"grad_norm": 0.474609375,
|
931 |
+
"learning_rate": 0.0001,
|
932 |
+
"loss": 0.6829,
|
933 |
+
"step": 132
|
934 |
+
},
|
935 |
+
{
|
936 |
+
"epoch": 0.0002076230439723752,
|
937 |
+
"grad_norm": 0.58984375,
|
938 |
+
"learning_rate": 0.0001,
|
939 |
+
"loss": 0.6593,
|
940 |
+
"step": 133
|
941 |
+
},
|
942 |
+
{
|
943 |
+
"epoch": 0.0002091841194909645,
|
944 |
+
"grad_norm": 0.7890625,
|
945 |
+
"learning_rate": 0.0001,
|
946 |
+
"loss": 0.6449,
|
947 |
+
"step": 134
|
948 |
+
},
|
949 |
+
{
|
950 |
+
"epoch": 0.00021074519500955378,
|
951 |
+
"grad_norm": 0.59375,
|
952 |
+
"learning_rate": 0.0001,
|
953 |
+
"loss": 0.6762,
|
954 |
+
"step": 135
|
955 |
+
},
|
956 |
+
{
|
957 |
+
"epoch": 0.00021230627052814307,
|
958 |
+
"grad_norm": 0.9609375,
|
959 |
+
"learning_rate": 0.0001,
|
960 |
+
"loss": 0.6824,
|
961 |
+
"step": 136
|
962 |
+
},
|
963 |
+
{
|
964 |
+
"epoch": 0.00021386734604673236,
|
965 |
+
"grad_norm": 0.77734375,
|
966 |
+
"learning_rate": 0.0001,
|
967 |
+
"loss": 0.6695,
|
968 |
+
"step": 137
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.00021542842156532164,
|
972 |
+
"grad_norm": 0.78515625,
|
973 |
+
"learning_rate": 0.0001,
|
974 |
+
"loss": 0.6556,
|
975 |
+
"step": 138
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 0.00021698949708391093,
|
979 |
+
"grad_norm": 0.578125,
|
980 |
+
"learning_rate": 0.0001,
|
981 |
+
"loss": 0.6433,
|
982 |
+
"step": 139
|
983 |
+
},
|
984 |
+
{
|
985 |
+
"epoch": 0.00021855057260250022,
|
986 |
+
"grad_norm": 0.9375,
|
987 |
+
"learning_rate": 0.0001,
|
988 |
+
"loss": 0.6604,
|
989 |
+
"step": 140
|
990 |
+
},
|
991 |
+
{
|
992 |
+
"epoch": 0.0002201116481210895,
|
993 |
+
"grad_norm": 0.7265625,
|
994 |
+
"learning_rate": 0.0001,
|
995 |
+
"loss": 0.6473,
|
996 |
+
"step": 141
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 0.0002216727236396788,
|
1000 |
+
"grad_norm": 0.734375,
|
1001 |
+
"learning_rate": 0.0001,
|
1002 |
+
"loss": 0.645,
|
1003 |
+
"step": 142
|
1004 |
+
},
|
1005 |
+
{
|
1006 |
+
"epoch": 0.00022323379915826808,
|
1007 |
+
"grad_norm": 0.6328125,
|
1008 |
+
"learning_rate": 0.0001,
|
1009 |
+
"loss": 0.6545,
|
1010 |
+
"step": 143
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.00022479487467685737,
|
1014 |
+
"grad_norm": 0.73828125,
|
1015 |
+
"learning_rate": 0.0001,
|
1016 |
+
"loss": 0.6826,
|
1017 |
+
"step": 144
|
1018 |
+
},
|
1019 |
+
{
|
1020 |
+
"epoch": 0.00022635595019544665,
|
1021 |
+
"grad_norm": 1.15625,
|
1022 |
+
"learning_rate": 0.0001,
|
1023 |
+
"loss": 0.6611,
|
1024 |
+
"step": 145
|
1025 |
+
},
|
1026 |
+
{
|
1027 |
+
"epoch": 0.00022791702571403594,
|
1028 |
+
"grad_norm": 0.67578125,
|
1029 |
+
"learning_rate": 0.0001,
|
1030 |
+
"loss": 0.6664,
|
1031 |
+
"step": 146
|
1032 |
+
},
|
1033 |
+
{
|
1034 |
+
"epoch": 0.00022947810123262523,
|
1035 |
+
"grad_norm": 0.75,
|
1036 |
+
"learning_rate": 0.0001,
|
1037 |
+
"loss": 0.631,
|
1038 |
+
"step": 147
|
1039 |
+
},
|
1040 |
+
{
|
1041 |
+
"epoch": 0.00023103917675121452,
|
1042 |
+
"grad_norm": 0.66796875,
|
1043 |
+
"learning_rate": 0.0001,
|
1044 |
+
"loss": 0.6382,
|
1045 |
+
"step": 148
|
1046 |
+
},
|
1047 |
+
{
|
1048 |
+
"epoch": 0.0002326002522698038,
|
1049 |
+
"grad_norm": 0.93359375,
|
1050 |
+
"learning_rate": 0.0001,
|
1051 |
+
"loss": 0.6682,
|
1052 |
+
"step": 149
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 0.0002341613277883931,
|
1056 |
+
"grad_norm": 0.8125,
|
1057 |
+
"learning_rate": 0.0001,
|
1058 |
+
"loss": 0.6844,
|
1059 |
+
"step": 150
|
1060 |
+
},
|
1061 |
+
{
|
1062 |
+
"epoch": 0.00023572240330698238,
|
1063 |
+
"grad_norm": 0.8984375,
|
1064 |
+
"learning_rate": 0.0001,
|
1065 |
+
"loss": 0.6375,
|
1066 |
+
"step": 151
|
1067 |
+
},
|
1068 |
+
{
|
1069 |
+
"epoch": 0.00023728347882557167,
|
1070 |
+
"grad_norm": 0.84375,
|
1071 |
+
"learning_rate": 0.0001,
|
1072 |
+
"loss": 0.6507,
|
1073 |
+
"step": 152
|
1074 |
+
},
|
1075 |
+
{
|
1076 |
+
"epoch": 0.00023884455434416095,
|
1077 |
+
"grad_norm": 0.73828125,
|
1078 |
+
"learning_rate": 0.0001,
|
1079 |
+
"loss": 0.6393,
|
1080 |
+
"step": 153
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 0.00024040562986275024,
|
1084 |
+
"grad_norm": 0.69921875,
|
1085 |
+
"learning_rate": 0.0001,
|
1086 |
+
"loss": 0.6307,
|
1087 |
+
"step": 154
|
1088 |
+
},
|
1089 |
+
{
|
1090 |
+
"epoch": 0.00024196670538133953,
|
1091 |
+
"grad_norm": 0.65234375,
|
1092 |
+
"learning_rate": 0.0001,
|
1093 |
+
"loss": 0.6362,
|
1094 |
+
"step": 155
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 0.00024352778089992881,
|
1098 |
+
"grad_norm": 1.25,
|
1099 |
+
"learning_rate": 0.0001,
|
1100 |
+
"loss": 0.638,
|
1101 |
+
"step": 156
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 0.0002450888564185181,
|
1105 |
+
"grad_norm": 0.6875,
|
1106 |
+
"learning_rate": 0.0001,
|
1107 |
+
"loss": 0.6266,
|
1108 |
+
"step": 157
|
1109 |
+
},
|
1110 |
+
{
|
1111 |
+
"epoch": 0.0002466499319371074,
|
1112 |
+
"grad_norm": 0.93359375,
|
1113 |
+
"learning_rate": 0.0001,
|
1114 |
+
"loss": 0.6389,
|
1115 |
+
"step": 158
|
1116 |
+
},
|
1117 |
+
{
|
1118 |
+
"epoch": 0.0002482110074556967,
|
1119 |
+
"grad_norm": 0.62109375,
|
1120 |
+
"learning_rate": 0.0001,
|
1121 |
+
"loss": 0.6297,
|
1122 |
+
"step": 159
|
1123 |
+
},
|
1124 |
+
{
|
1125 |
+
"epoch": 0.00024977208297428596,
|
1126 |
+
"grad_norm": 0.80859375,
|
1127 |
+
"learning_rate": 0.0001,
|
1128 |
+
"loss": 0.6365,
|
1129 |
+
"step": 160
|
1130 |
+
},
|
1131 |
+
{
|
1132 |
+
"epoch": 0.00025133315849287525,
|
1133 |
+
"grad_norm": 0.671875,
|
1134 |
+
"learning_rate": 0.0001,
|
1135 |
+
"loss": 0.6264,
|
1136 |
+
"step": 161
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 0.00025289423401146454,
|
1140 |
+
"grad_norm": 0.6640625,
|
1141 |
+
"learning_rate": 0.0001,
|
1142 |
+
"loss": 0.6152,
|
1143 |
+
"step": 162
|
1144 |
+
},
|
1145 |
+
{
|
1146 |
+
"epoch": 0.0002544553095300538,
|
1147 |
+
"grad_norm": 0.8671875,
|
1148 |
+
"learning_rate": 0.0001,
|
1149 |
+
"loss": 0.638,
|
1150 |
+
"step": 163
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 0.0002560163850486431,
|
1154 |
+
"grad_norm": 0.7421875,
|
1155 |
+
"learning_rate": 0.0001,
|
1156 |
+
"loss": 0.6155,
|
1157 |
+
"step": 164
|
1158 |
+
},
|
1159 |
+
{
|
1160 |
+
"epoch": 0.0002575774605672324,
|
1161 |
+
"grad_norm": 0.7578125,
|
1162 |
+
"learning_rate": 0.0001,
|
1163 |
+
"loss": 0.6181,
|
1164 |
+
"step": 165
|
1165 |
+
},
|
1166 |
+
{
|
1167 |
+
"epoch": 0.0002591385360858217,
|
1168 |
+
"grad_norm": 0.5859375,
|
1169 |
+
"learning_rate": 0.0001,
|
1170 |
+
"loss": 0.6127,
|
1171 |
+
"step": 166
|
1172 |
+
},
|
1173 |
+
{
|
1174 |
+
"epoch": 0.000260699611604411,
|
1175 |
+
"grad_norm": 0.90234375,
|
1176 |
+
"learning_rate": 0.0001,
|
1177 |
+
"loss": 0.5982,
|
1178 |
+
"step": 167
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 0.00026226068712300026,
|
1182 |
+
"grad_norm": 0.58203125,
|
1183 |
+
"learning_rate": 0.0001,
|
1184 |
+
"loss": 0.6014,
|
1185 |
+
"step": 168
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 0.00026382176264158955,
|
1189 |
+
"grad_norm": 0.6953125,
|
1190 |
+
"learning_rate": 0.0001,
|
1191 |
+
"loss": 0.6164,
|
1192 |
+
"step": 169
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 0.00026538283816017884,
|
1196 |
+
"grad_norm": 0.59765625,
|
1197 |
+
"learning_rate": 0.0001,
|
1198 |
+
"loss": 0.6291,
|
1199 |
+
"step": 170
|
1200 |
+
},
|
1201 |
+
{
|
1202 |
+
"epoch": 0.0002669439136787681,
|
1203 |
+
"grad_norm": 0.71875,
|
1204 |
+
"learning_rate": 0.0001,
|
1205 |
+
"loss": 0.5953,
|
1206 |
+
"step": 171
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 0.0002685049891973574,
|
1210 |
+
"grad_norm": 0.55859375,
|
1211 |
+
"learning_rate": 0.0001,
|
1212 |
+
"loss": 0.6261,
|
1213 |
+
"step": 172
|
1214 |
+
},
|
1215 |
+
{
|
1216 |
+
"epoch": 0.0002700660647159467,
|
1217 |
+
"grad_norm": 0.90625,
|
1218 |
+
"learning_rate": 0.0001,
|
1219 |
+
"loss": 0.6102,
|
1220 |
+
"step": 173
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 0.000271627140234536,
|
1224 |
+
"grad_norm": 0.671875,
|
1225 |
+
"learning_rate": 0.0001,
|
1226 |
+
"loss": 0.6176,
|
1227 |
+
"step": 174
|
1228 |
+
},
|
1229 |
+
{
|
1230 |
+
"epoch": 0.0002731882157531253,
|
1231 |
+
"grad_norm": 0.81640625,
|
1232 |
+
"learning_rate": 0.0001,
|
1233 |
+
"loss": 0.5787,
|
1234 |
+
"step": 175
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 0.00027474929127171456,
|
1238 |
+
"grad_norm": 0.6640625,
|
1239 |
+
"learning_rate": 0.0001,
|
1240 |
+
"loss": 0.5691,
|
1241 |
+
"step": 176
|
1242 |
+
},
|
1243 |
+
{
|
1244 |
+
"epoch": 0.00027631036679030385,
|
1245 |
+
"grad_norm": 0.58203125,
|
1246 |
+
"learning_rate": 0.0001,
|
1247 |
+
"loss": 0.6019,
|
1248 |
+
"step": 177
|
1249 |
+
},
|
1250 |
+
{
|
1251 |
+
"epoch": 0.00027787144230889313,
|
1252 |
+
"grad_norm": 0.65234375,
|
1253 |
+
"learning_rate": 0.0001,
|
1254 |
+
"loss": 0.6116,
|
1255 |
+
"step": 178
|
1256 |
+
},
|
1257 |
+
{
|
1258 |
+
"epoch": 0.0002794325178274824,
|
1259 |
+
"grad_norm": 0.66015625,
|
1260 |
+
"learning_rate": 0.0001,
|
1261 |
+
"loss": 0.596,
|
1262 |
+
"step": 179
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 0.0002809935933460717,
|
1266 |
+
"grad_norm": 0.53515625,
|
1267 |
+
"learning_rate": 0.0001,
|
1268 |
+
"loss": 0.5986,
|
1269 |
+
"step": 180
|
1270 |
+
},
|
1271 |
+
{
|
1272 |
+
"epoch": 0.000282554668864661,
|
1273 |
+
"grad_norm": 0.6015625,
|
1274 |
+
"learning_rate": 0.0001,
|
1275 |
+
"loss": 0.5922,
|
1276 |
+
"step": 181
|
1277 |
+
},
|
1278 |
+
{
|
1279 |
+
"epoch": 0.0002841157443832503,
|
1280 |
+
"grad_norm": 0.56640625,
|
1281 |
+
"learning_rate": 0.0001,
|
1282 |
+
"loss": 0.6004,
|
1283 |
+
"step": 182
|
1284 |
+
},
|
1285 |
+
{
|
1286 |
+
"epoch": 0.00028567681990183957,
|
1287 |
+
"grad_norm": 0.578125,
|
1288 |
+
"learning_rate": 0.0001,
|
1289 |
+
"loss": 0.5841,
|
1290 |
+
"step": 183
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 0.00028723789542042886,
|
1294 |
+
"grad_norm": 0.55859375,
|
1295 |
+
"learning_rate": 0.0001,
|
1296 |
+
"loss": 0.5597,
|
1297 |
+
"step": 184
|
1298 |
+
},
|
1299 |
+
{
|
1300 |
+
"epoch": 0.00028879897093901815,
|
1301 |
+
"grad_norm": 0.5859375,
|
1302 |
+
"learning_rate": 0.0001,
|
1303 |
+
"loss": 0.616,
|
1304 |
+
"step": 185
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 0.00029036004645760743,
|
1308 |
+
"grad_norm": 0.65625,
|
1309 |
+
"learning_rate": 0.0001,
|
1310 |
+
"loss": 0.5807,
|
1311 |
+
"step": 186
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 0.0002919211219761967,
|
1315 |
+
"grad_norm": 0.53515625,
|
1316 |
+
"learning_rate": 0.0001,
|
1317 |
+
"loss": 0.5785,
|
1318 |
+
"step": 187
|
1319 |
+
},
|
1320 |
+
{
|
1321 |
+
"epoch": 0.000293482197494786,
|
1322 |
+
"grad_norm": 0.7734375,
|
1323 |
+
"learning_rate": 0.0001,
|
1324 |
+
"loss": 0.582,
|
1325 |
+
"step": 188
|
1326 |
+
},
|
1327 |
+
{
|
1328 |
+
"epoch": 0.0002950432730133753,
|
1329 |
+
"grad_norm": 0.6484375,
|
1330 |
+
"learning_rate": 0.0001,
|
1331 |
+
"loss": 0.5859,
|
1332 |
+
"step": 189
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 0.0002966043485319646,
|
1336 |
+
"grad_norm": 0.58203125,
|
1337 |
+
"learning_rate": 0.0001,
|
1338 |
+
"loss": 0.5717,
|
1339 |
+
"step": 190
|
1340 |
+
},
|
1341 |
+
{
|
1342 |
+
"epoch": 0.00029816542405055387,
|
1343 |
+
"grad_norm": 0.65625,
|
1344 |
+
"learning_rate": 0.0001,
|
1345 |
+
"loss": 0.5849,
|
1346 |
+
"step": 191
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 0.00029972649956914316,
|
1350 |
+
"grad_norm": 0.55859375,
|
1351 |
+
"learning_rate": 0.0001,
|
1352 |
+
"loss": 0.5675,
|
1353 |
+
"step": 192
|
1354 |
+
},
|
1355 |
+
{
|
1356 |
+
"epoch": 0.00030128757508773244,
|
1357 |
+
"grad_norm": 0.79296875,
|
1358 |
+
"learning_rate": 0.0001,
|
1359 |
+
"loss": 0.5737,
|
1360 |
+
"step": 193
|
1361 |
+
},
|
1362 |
+
{
|
1363 |
+
"epoch": 0.00030284865060632173,
|
1364 |
+
"grad_norm": 0.71875,
|
1365 |
+
"learning_rate": 0.0001,
|
1366 |
+
"loss": 0.555,
|
1367 |
+
"step": 194
|
1368 |
+
},
|
1369 |
+
{
|
1370 |
+
"epoch": 0.000304409726124911,
|
1371 |
+
"grad_norm": 0.9609375,
|
1372 |
+
"learning_rate": 0.0001,
|
1373 |
+
"loss": 0.5688,
|
1374 |
+
"step": 195
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 0.0003059708016435003,
|
1378 |
+
"grad_norm": 0.5703125,
|
1379 |
+
"learning_rate": 0.0001,
|
1380 |
+
"loss": 0.5629,
|
1381 |
+
"step": 196
|
1382 |
+
},
|
1383 |
+
{
|
1384 |
+
"epoch": 0.0003075318771620896,
|
1385 |
+
"grad_norm": 0.57421875,
|
1386 |
+
"learning_rate": 0.0001,
|
1387 |
+
"loss": 0.5428,
|
1388 |
+
"step": 197
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 0.0003090929526806789,
|
1392 |
+
"grad_norm": 0.90625,
|
1393 |
+
"learning_rate": 0.0001,
|
1394 |
+
"loss": 0.5851,
|
1395 |
+
"step": 198
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 0.00031065402819926817,
|
1399 |
+
"grad_norm": 1.0625,
|
1400 |
+
"learning_rate": 0.0001,
|
1401 |
+
"loss": 0.5811,
|
1402 |
+
"step": 199
|
1403 |
+
},
|
1404 |
+
{
|
1405 |
+
"epoch": 0.00031221510371785745,
|
1406 |
+
"grad_norm": 0.69140625,
|
1407 |
+
"learning_rate": 0.0001,
|
1408 |
+
"loss": 0.5403,
|
1409 |
+
"step": 200
|
1410 |
+
},
|
1411 |
+
{
|
1412 |
+
"epoch": 0.00031377617923644674,
|
1413 |
+
"grad_norm": 0.6484375,
|
1414 |
+
"learning_rate": 0.0001,
|
1415 |
+
"loss": 0.5662,
|
1416 |
+
"step": 201
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 0.00031533725475503603,
|
1420 |
+
"grad_norm": 0.71875,
|
1421 |
+
"learning_rate": 0.0001,
|
1422 |
+
"loss": 0.5489,
|
1423 |
+
"step": 202
|
1424 |
+
},
|
1425 |
+
{
|
1426 |
+
"epoch": 0.0003168983302736253,
|
1427 |
+
"grad_norm": 0.609375,
|
1428 |
+
"learning_rate": 0.0001,
|
1429 |
+
"loss": 0.5545,
|
1430 |
+
"step": 203
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 0.0003184594057922146,
|
1434 |
+
"grad_norm": 1.0625,
|
1435 |
+
"learning_rate": 0.0001,
|
1436 |
+
"loss": 0.5925,
|
1437 |
+
"step": 204
|
1438 |
+
},
|
1439 |
+
{
|
1440 |
+
"epoch": 0.0003200204813108039,
|
1441 |
+
"grad_norm": 0.6015625,
|
1442 |
+
"learning_rate": 0.0001,
|
1443 |
+
"loss": 0.5649,
|
1444 |
+
"step": 205
|
1445 |
+
},
|
1446 |
+
{
|
1447 |
+
"epoch": 0.0003215815568293932,
|
1448 |
+
"grad_norm": 0.68359375,
|
1449 |
+
"learning_rate": 0.0001,
|
1450 |
+
"loss": 0.5581,
|
1451 |
+
"step": 206
|
1452 |
+
},
|
1453 |
+
{
|
1454 |
+
"epoch": 0.00032314263234798247,
|
1455 |
+
"grad_norm": 0.52734375,
|
1456 |
+
"learning_rate": 0.0001,
|
1457 |
+
"loss": 0.5404,
|
1458 |
+
"step": 207
|
1459 |
+
},
|
1460 |
+
{
|
1461 |
+
"epoch": 0.00032470370786657175,
|
1462 |
+
"grad_norm": 0.62890625,
|
1463 |
+
"learning_rate": 0.0001,
|
1464 |
+
"loss": 0.5604,
|
1465 |
+
"step": 208
|
1466 |
+
},
|
1467 |
+
{
|
1468 |
+
"epoch": 0.00032626478338516104,
|
1469 |
+
"grad_norm": 0.59765625,
|
1470 |
+
"learning_rate": 0.0001,
|
1471 |
+
"loss": 0.5391,
|
1472 |
+
"step": 209
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 0.00032782585890375033,
|
1476 |
+
"grad_norm": 0.6640625,
|
1477 |
+
"learning_rate": 0.0001,
|
1478 |
+
"loss": 0.5675,
|
1479 |
+
"step": 210
|
1480 |
+
},
|
1481 |
+
{
|
1482 |
+
"epoch": 0.0003293869344223396,
|
1483 |
+
"grad_norm": 0.60546875,
|
1484 |
+
"learning_rate": 0.0001,
|
1485 |
+
"loss": 0.5379,
|
1486 |
+
"step": 211
|
1487 |
+
},
|
1488 |
+
{
|
1489 |
+
"epoch": 0.0003309480099409289,
|
1490 |
+
"grad_norm": 0.66015625,
|
1491 |
+
"learning_rate": 0.0001,
|
1492 |
+
"loss": 0.5419,
|
1493 |
+
"step": 212
|
1494 |
+
},
|
1495 |
+
{
|
1496 |
+
"epoch": 0.0003325090854595182,
|
1497 |
+
"grad_norm": 0.7109375,
|
1498 |
+
"learning_rate": 0.0001,
|
1499 |
+
"loss": 0.5649,
|
1500 |
+
"step": 213
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 0.0003340701609781075,
|
1504 |
+
"grad_norm": 0.7421875,
|
1505 |
+
"learning_rate": 0.0001,
|
1506 |
+
"loss": 0.5778,
|
1507 |
+
"step": 214
|
1508 |
+
},
|
1509 |
+
{
|
1510 |
+
"epoch": 0.00033563123649669676,
|
1511 |
+
"grad_norm": 1.0546875,
|
1512 |
+
"learning_rate": 0.0001,
|
1513 |
+
"loss": 0.5464,
|
1514 |
+
"step": 215
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 0.00033719231201528605,
|
1518 |
+
"grad_norm": 0.66015625,
|
1519 |
+
"learning_rate": 0.0001,
|
1520 |
+
"loss": 0.5098,
|
1521 |
+
"step": 216
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 0.00033875338753387534,
|
1525 |
+
"grad_norm": 0.80078125,
|
1526 |
+
"learning_rate": 0.0001,
|
1527 |
+
"loss": 0.539,
|
1528 |
+
"step": 217
|
1529 |
+
},
|
1530 |
+
{
|
1531 |
+
"epoch": 0.0003403144630524646,
|
1532 |
+
"grad_norm": 0.61328125,
|
1533 |
+
"learning_rate": 0.0001,
|
1534 |
+
"loss": 0.563,
|
1535 |
+
"step": 218
|
1536 |
+
},
|
1537 |
+
{
|
1538 |
+
"epoch": 0.0003418755385710539,
|
1539 |
+
"grad_norm": 0.69921875,
|
1540 |
+
"learning_rate": 0.0001,
|
1541 |
+
"loss": 0.5331,
|
1542 |
+
"step": 219
|
1543 |
+
},
|
1544 |
+
{
|
1545 |
+
"epoch": 0.0003434366140896432,
|
1546 |
+
"grad_norm": 0.69140625,
|
1547 |
+
"learning_rate": 0.0001,
|
1548 |
+
"loss": 0.5355,
|
1549 |
+
"step": 220
|
1550 |
+
},
|
1551 |
+
{
|
1552 |
+
"epoch": 0.0003449976896082325,
|
1553 |
+
"grad_norm": 0.71875,
|
1554 |
+
"learning_rate": 0.0001,
|
1555 |
+
"loss": 0.5245,
|
1556 |
+
"step": 221
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 0.0003465587651268218,
|
1560 |
+
"grad_norm": 0.86328125,
|
1561 |
+
"learning_rate": 0.0001,
|
1562 |
+
"loss": 0.5509,
|
1563 |
+
"step": 222
|
1564 |
+
},
|
1565 |
+
{
|
1566 |
+
"epoch": 0.00034811984064541106,
|
1567 |
+
"grad_norm": 0.796875,
|
1568 |
+
"learning_rate": 0.0001,
|
1569 |
+
"loss": 0.5217,
|
1570 |
+
"step": 223
|
1571 |
+
},
|
1572 |
+
{
|
1573 |
+
"epoch": 0.00034968091616400035,
|
1574 |
+
"grad_norm": 0.765625,
|
1575 |
+
"learning_rate": 0.0001,
|
1576 |
+
"loss": 0.5188,
|
1577 |
+
"step": 224
|
1578 |
+
},
|
1579 |
+
{
|
1580 |
+
"epoch": 0.00035124199168258964,
|
1581 |
+
"grad_norm": 0.75390625,
|
1582 |
+
"learning_rate": 0.0001,
|
1583 |
+
"loss": 0.5138,
|
1584 |
+
"step": 225
|
1585 |
+
},
|
1586 |
+
{
|
1587 |
+
"epoch": 0.0003528030672011789,
|
1588 |
+
"grad_norm": 0.703125,
|
1589 |
+
"learning_rate": 0.0001,
|
1590 |
+
"loss": 0.5248,
|
1591 |
+
"step": 226
|
1592 |
+
},
|
1593 |
+
{
|
1594 |
+
"epoch": 0.0003543641427197682,
|
1595 |
+
"grad_norm": 0.64453125,
|
1596 |
+
"learning_rate": 0.0001,
|
1597 |
+
"loss": 0.5221,
|
1598 |
+
"step": 227
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 0.0003559252182383575,
|
1602 |
+
"grad_norm": 0.6328125,
|
1603 |
+
"learning_rate": 0.0001,
|
1604 |
+
"loss": 0.5082,
|
1605 |
+
"step": 228
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 0.0003574862937569468,
|
1609 |
+
"grad_norm": 0.6015625,
|
1610 |
+
"learning_rate": 0.0001,
|
1611 |
+
"loss": 0.5131,
|
1612 |
+
"step": 229
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 0.0003590473692755361,
|
1616 |
+
"grad_norm": 0.64453125,
|
1617 |
+
"learning_rate": 0.0001,
|
1618 |
+
"loss": 0.5132,
|
1619 |
+
"step": 230
|
1620 |
+
},
|
1621 |
+
{
|
1622 |
+
"epoch": 0.00036060844479412536,
|
1623 |
+
"grad_norm": 0.9453125,
|
1624 |
+
"learning_rate": 0.0001,
|
1625 |
+
"loss": 0.5551,
|
1626 |
+
"step": 231
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 0.00036216952031271465,
|
1630 |
+
"grad_norm": 0.83984375,
|
1631 |
+
"learning_rate": 0.0001,
|
1632 |
+
"loss": 0.5206,
|
1633 |
+
"step": 232
|
1634 |
+
},
|
1635 |
+
{
|
1636 |
+
"epoch": 0.00036373059583130393,
|
1637 |
+
"grad_norm": 0.9375,
|
1638 |
+
"learning_rate": 0.0001,
|
1639 |
+
"loss": 0.5227,
|
1640 |
+
"step": 233
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 0.0003652916713498932,
|
1644 |
+
"grad_norm": 0.74609375,
|
1645 |
+
"learning_rate": 0.0001,
|
1646 |
+
"loss": 0.5134,
|
1647 |
+
"step": 234
|
1648 |
+
},
|
1649 |
+
{
|
1650 |
+
"epoch": 0.0003668527468684825,
|
1651 |
+
"grad_norm": 0.62890625,
|
1652 |
+
"learning_rate": 0.0001,
|
1653 |
+
"loss": 0.5405,
|
1654 |
+
"step": 235
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 0.0003684138223870718,
|
1658 |
+
"grad_norm": 0.734375,
|
1659 |
+
"learning_rate": 0.0001,
|
1660 |
+
"loss": 0.5225,
|
1661 |
+
"step": 236
|
1662 |
+
},
|
1663 |
+
{
|
1664 |
+
"epoch": 0.0003699748979056611,
|
1665 |
+
"grad_norm": 0.7578125,
|
1666 |
+
"learning_rate": 0.0001,
|
1667 |
+
"loss": 0.5107,
|
1668 |
+
"step": 237
|
1669 |
+
},
|
1670 |
+
{
|
1671 |
+
"epoch": 0.00037153597342425037,
|
1672 |
+
"grad_norm": 0.72265625,
|
1673 |
+
"learning_rate": 0.0001,
|
1674 |
+
"loss": 0.5177,
|
1675 |
+
"step": 238
|
1676 |
+
},
|
1677 |
+
{
|
1678 |
+
"epoch": 0.00037309704894283966,
|
1679 |
+
"grad_norm": 0.8828125,
|
1680 |
+
"learning_rate": 0.0001,
|
1681 |
+
"loss": 0.5168,
|
1682 |
+
"step": 239
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 0.00037465812446142895,
|
1686 |
+
"grad_norm": 0.6328125,
|
1687 |
+
"learning_rate": 0.0001,
|
1688 |
+
"loss": 0.5014,
|
1689 |
+
"step": 240
|
1690 |
+
},
|
1691 |
+
{
|
1692 |
+
"epoch": 0.00037621919998001823,
|
1693 |
+
"grad_norm": 0.7421875,
|
1694 |
+
"learning_rate": 0.0001,
|
1695 |
+
"loss": 0.5336,
|
1696 |
+
"step": 241
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 0.0003777802754986075,
|
1700 |
+
"grad_norm": 1.046875,
|
1701 |
+
"learning_rate": 0.0001,
|
1702 |
+
"loss": 0.505,
|
1703 |
+
"step": 242
|
1704 |
+
},
|
1705 |
+
{
|
1706 |
+
"epoch": 0.0003793413510171968,
|
1707 |
+
"grad_norm": 0.640625,
|
1708 |
+
"learning_rate": 0.0001,
|
1709 |
+
"loss": 0.5012,
|
1710 |
+
"step": 243
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 0.0003809024265357861,
|
1714 |
+
"grad_norm": 0.8046875,
|
1715 |
+
"learning_rate": 0.0001,
|
1716 |
+
"loss": 0.5123,
|
1717 |
+
"step": 244
|
1718 |
+
},
|
1719 |
+
{
|
1720 |
+
"epoch": 0.0003824635020543754,
|
1721 |
+
"grad_norm": 0.88671875,
|
1722 |
+
"learning_rate": 0.0001,
|
1723 |
+
"loss": 0.501,
|
1724 |
+
"step": 245
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 0.00038402457757296467,
|
1728 |
+
"grad_norm": 0.796875,
|
1729 |
+
"learning_rate": 0.0001,
|
1730 |
+
"loss": 0.5132,
|
1731 |
+
"step": 246
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 0.00038558565309155396,
|
1735 |
+
"grad_norm": 0.77734375,
|
1736 |
+
"learning_rate": 0.0001,
|
1737 |
+
"loss": 0.5311,
|
1738 |
+
"step": 247
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 0.00038714672861014324,
|
1742 |
+
"grad_norm": 0.75,
|
1743 |
+
"learning_rate": 0.0001,
|
1744 |
+
"loss": 0.4914,
|
1745 |
+
"step": 248
|
1746 |
+
},
|
1747 |
+
{
|
1748 |
+
"epoch": 0.00038870780412873253,
|
1749 |
+
"grad_norm": 0.57421875,
|
1750 |
+
"learning_rate": 0.0001,
|
1751 |
+
"loss": 0.5107,
|
1752 |
+
"step": 249
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 0.0003902688796473218,
|
1756 |
+
"grad_norm": 0.71484375,
|
1757 |
+
"learning_rate": 0.0001,
|
1758 |
+
"loss": 0.507,
|
1759 |
+
"step": 250
|
1760 |
+
},
|
1761 |
+
{
|
1762 |
+
"epoch": 0.0003918299551659111,
|
1763 |
+
"grad_norm": 0.671875,
|
1764 |
+
"learning_rate": 0.0001,
|
1765 |
+
"loss": 0.533,
|
1766 |
+
"step": 251
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 0.0003933910306845004,
|
1770 |
+
"grad_norm": 0.95703125,
|
1771 |
+
"learning_rate": 0.0001,
|
1772 |
+
"loss": 0.4762,
|
1773 |
+
"step": 252
|
1774 |
+
},
|
1775 |
+
{
|
1776 |
+
"epoch": 0.0003949521062030897,
|
1777 |
+
"grad_norm": 0.52734375,
|
1778 |
+
"learning_rate": 0.0001,
|
1779 |
+
"loss": 0.5045,
|
1780 |
+
"step": 253
|
1781 |
+
},
|
1782 |
+
{
|
1783 |
+
"epoch": 0.00039651318172167897,
|
1784 |
+
"grad_norm": 0.765625,
|
1785 |
+
"learning_rate": 0.0001,
|
1786 |
+
"loss": 0.4907,
|
1787 |
+
"step": 254
|
1788 |
+
},
|
1789 |
+
{
|
1790 |
+
"epoch": 0.00039807425724026825,
|
1791 |
+
"grad_norm": 0.59765625,
|
1792 |
+
"learning_rate": 0.0001,
|
1793 |
+
"loss": 0.4928,
|
1794 |
+
"step": 255
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 0.00039963533275885754,
|
1798 |
+
"grad_norm": 0.59765625,
|
1799 |
+
"learning_rate": 0.0001,
|
1800 |
+
"loss": 0.5093,
|
1801 |
+
"step": 256
|
1802 |
+
},
|
1803 |
+
{
|
1804 |
+
"epoch": 0.00040119640827744683,
|
1805 |
+
"grad_norm": 0.57421875,
|
1806 |
+
"learning_rate": 0.0001,
|
1807 |
+
"loss": 0.4827,
|
1808 |
+
"step": 257
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 0.0004027574837960361,
|
1812 |
+
"grad_norm": 0.65625,
|
1813 |
+
"learning_rate": 0.0001,
|
1814 |
+
"loss": 0.463,
|
1815 |
+
"step": 258
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 0.0004043185593146254,
|
1819 |
+
"grad_norm": 0.5703125,
|
1820 |
+
"learning_rate": 0.0001,
|
1821 |
+
"loss": 0.5023,
|
1822 |
+
"step": 259
|
1823 |
+
},
|
1824 |
+
{
|
1825 |
+
"epoch": 0.0004058796348332147,
|
1826 |
+
"grad_norm": 0.52734375,
|
1827 |
+
"learning_rate": 0.0001,
|
1828 |
+
"loss": 0.506,
|
1829 |
+
"step": 260
|
1830 |
+
},
|
1831 |
+
{
|
1832 |
+
"epoch": 0.000407440710351804,
|
1833 |
+
"grad_norm": 0.9296875,
|
1834 |
+
"learning_rate": 0.0001,
|
1835 |
+
"loss": 0.486,
|
1836 |
+
"step": 261
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 0.00040900178587039327,
|
1840 |
+
"grad_norm": 0.65625,
|
1841 |
+
"learning_rate": 0.0001,
|
1842 |
+
"loss": 0.4802,
|
1843 |
+
"step": 262
|
1844 |
+
},
|
1845 |
+
{
|
1846 |
+
"epoch": 0.00041056286138898255,
|
1847 |
+
"grad_norm": 0.75390625,
|
1848 |
+
"learning_rate": 0.0001,
|
1849 |
+
"loss": 0.4975,
|
1850 |
+
"step": 263
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 0.00041212393690757184,
|
1854 |
+
"grad_norm": 0.84765625,
|
1855 |
+
"learning_rate": 0.0001,
|
1856 |
+
"loss": 0.4933,
|
1857 |
+
"step": 264
|
1858 |
+
},
|
1859 |
+
{
|
1860 |
+
"epoch": 0.00041368501242616113,
|
1861 |
+
"grad_norm": 0.5625,
|
1862 |
+
"learning_rate": 0.0001,
|
1863 |
+
"loss": 0.5015,
|
1864 |
+
"step": 265
|
1865 |
+
},
|
1866 |
+
{
|
1867 |
+
"epoch": 0.0004152460879447504,
|
1868 |
+
"grad_norm": 0.9375,
|
1869 |
+
"learning_rate": 0.0001,
|
1870 |
+
"loss": 0.4982,
|
1871 |
+
"step": 266
|
1872 |
+
},
|
1873 |
+
{
|
1874 |
+
"epoch": 0.0004168071634633397,
|
1875 |
+
"grad_norm": 0.8515625,
|
1876 |
+
"learning_rate": 0.0001,
|
1877 |
+
"loss": 0.4688,
|
1878 |
+
"step": 267
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 0.000418368238981929,
|
1882 |
+
"grad_norm": 0.73828125,
|
1883 |
+
"learning_rate": 0.0001,
|
1884 |
+
"loss": 0.4791,
|
1885 |
+
"step": 268
|
1886 |
+
},
|
1887 |
+
{
|
1888 |
+
"epoch": 0.0004199293145005183,
|
1889 |
+
"grad_norm": 0.75390625,
|
1890 |
+
"learning_rate": 0.0001,
|
1891 |
+
"loss": 0.4819,
|
1892 |
+
"step": 269
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 0.00042149039001910756,
|
1896 |
+
"grad_norm": 0.7421875,
|
1897 |
+
"learning_rate": 0.0001,
|
1898 |
+
"loss": 0.4579,
|
1899 |
+
"step": 270
|
1900 |
+
},
|
1901 |
+
{
|
1902 |
+
"epoch": 0.00042305146553769685,
|
1903 |
+
"grad_norm": 0.6484375,
|
1904 |
+
"learning_rate": 0.0001,
|
1905 |
+
"loss": 0.477,
|
1906 |
+
"step": 271
|
1907 |
+
},
|
1908 |
+
{
|
1909 |
+
"epoch": 0.00042461254105628614,
|
1910 |
+
"grad_norm": 0.77734375,
|
1911 |
+
"learning_rate": 0.0001,
|
1912 |
+
"loss": 0.5063,
|
1913 |
+
"step": 272
|
1914 |
+
},
|
1915 |
+
{
|
1916 |
+
"epoch": 0.0004261736165748754,
|
1917 |
+
"grad_norm": 0.65625,
|
1918 |
+
"learning_rate": 0.0001,
|
1919 |
+
"loss": 0.4601,
|
1920 |
+
"step": 273
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 0.0004277346920934647,
|
1924 |
+
"grad_norm": 0.71875,
|
1925 |
+
"learning_rate": 0.0001,
|
1926 |
+
"loss": 0.4686,
|
1927 |
+
"step": 274
|
1928 |
+
},
|
1929 |
+
{
|
1930 |
+
"epoch": 0.000429295767612054,
|
1931 |
+
"grad_norm": 0.5859375,
|
1932 |
+
"learning_rate": 0.0001,
|
1933 |
+
"loss": 0.5095,
|
1934 |
+
"step": 275
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 0.0004308568431306433,
|
1938 |
+
"grad_norm": 0.59375,
|
1939 |
+
"learning_rate": 0.0001,
|
1940 |
+
"loss": 0.4503,
|
1941 |
+
"step": 276
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 0.0004324179186492326,
|
1945 |
+
"grad_norm": 0.5390625,
|
1946 |
+
"learning_rate": 0.0001,
|
1947 |
+
"loss": 0.443,
|
1948 |
+
"step": 277
|
1949 |
+
},
|
1950 |
+
{
|
1951 |
+
"epoch": 0.00043397899416782186,
|
1952 |
+
"grad_norm": 0.62109375,
|
1953 |
+
"learning_rate": 0.0001,
|
1954 |
+
"loss": 0.4746,
|
1955 |
+
"step": 278
|
1956 |
+
},
|
1957 |
+
{
|
1958 |
+
"epoch": 0.00043554006968641115,
|
1959 |
+
"grad_norm": 0.62109375,
|
1960 |
+
"learning_rate": 0.0001,
|
1961 |
+
"loss": 0.4574,
|
1962 |
+
"step": 279
|
1963 |
+
},
|
1964 |
+
{
|
1965 |
+
"epoch": 0.00043710114520500044,
|
1966 |
+
"grad_norm": 0.62109375,
|
1967 |
+
"learning_rate": 0.0001,
|
1968 |
+
"loss": 0.4852,
|
1969 |
+
"step": 280
|
1970 |
+
},
|
1971 |
+
{
|
1972 |
+
"epoch": 0.0004386622207235897,
|
1973 |
+
"grad_norm": 0.66015625,
|
1974 |
+
"learning_rate": 0.0001,
|
1975 |
+
"loss": 0.4657,
|
1976 |
+
"step": 281
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 0.000440223296242179,
|
1980 |
+
"grad_norm": 0.59375,
|
1981 |
+
"learning_rate": 0.0001,
|
1982 |
+
"loss": 0.4734,
|
1983 |
+
"step": 282
|
1984 |
+
},
|
1985 |
+
{
|
1986 |
+
"epoch": 0.0004417843717607683,
|
1987 |
+
"grad_norm": 0.75390625,
|
1988 |
+
"learning_rate": 0.0001,
|
1989 |
+
"loss": 0.4555,
|
1990 |
+
"step": 283
|
1991 |
+
},
|
1992 |
+
{
|
1993 |
+
"epoch": 0.0004433454472793576,
|
1994 |
+
"grad_norm": 0.625,
|
1995 |
+
"learning_rate": 0.0001,
|
1996 |
+
"loss": 0.4654,
|
1997 |
+
"step": 284
|
1998 |
+
},
|
1999 |
+
{
|
2000 |
+
"epoch": 0.0004449065227979469,
|
2001 |
+
"grad_norm": 0.60546875,
|
2002 |
+
"learning_rate": 0.0001,
|
2003 |
+
"loss": 0.4578,
|
2004 |
+
"step": 285
|
2005 |
+
},
|
2006 |
+
{
|
2007 |
+
"epoch": 0.00044646759831653616,
|
2008 |
+
"grad_norm": 0.56640625,
|
2009 |
+
"learning_rate": 0.0001,
|
2010 |
+
"loss": 0.4583,
|
2011 |
+
"step": 286
|
2012 |
+
},
|
2013 |
+
{
|
2014 |
+
"epoch": 0.00044802867383512545,
|
2015 |
+
"grad_norm": 0.671875,
|
2016 |
+
"learning_rate": 0.0001,
|
2017 |
+
"loss": 0.456,
|
2018 |
+
"step": 287
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 0.00044958974935371473,
|
2022 |
+
"grad_norm": 0.53125,
|
2023 |
+
"learning_rate": 0.0001,
|
2024 |
+
"loss": 0.4615,
|
2025 |
+
"step": 288
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 0.000451150824872304,
|
2029 |
+
"grad_norm": 0.67578125,
|
2030 |
+
"learning_rate": 0.0001,
|
2031 |
+
"loss": 0.4712,
|
2032 |
+
"step": 289
|
2033 |
+
},
|
2034 |
+
{
|
2035 |
+
"epoch": 0.0004527119003908933,
|
2036 |
+
"grad_norm": 0.65625,
|
2037 |
+
"learning_rate": 0.0001,
|
2038 |
+
"loss": 0.4547,
|
2039 |
+
"step": 290
|
2040 |
+
},
|
2041 |
+
{
|
2042 |
+
"epoch": 0.0004542729759094826,
|
2043 |
+
"grad_norm": 0.6875,
|
2044 |
+
"learning_rate": 0.0001,
|
2045 |
+
"loss": 0.4584,
|
2046 |
+
"step": 291
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 0.0004558340514280719,
|
2050 |
+
"grad_norm": 0.7109375,
|
2051 |
+
"learning_rate": 0.0001,
|
2052 |
+
"loss": 0.4795,
|
2053 |
+
"step": 292
|
2054 |
+
},
|
2055 |
+
{
|
2056 |
+
"epoch": 0.00045739512694666117,
|
2057 |
+
"grad_norm": 0.85546875,
|
2058 |
+
"learning_rate": 0.0001,
|
2059 |
+
"loss": 0.4393,
|
2060 |
+
"step": 293
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 0.00045895620246525046,
|
2064 |
+
"grad_norm": 0.5859375,
|
2065 |
+
"learning_rate": 0.0001,
|
2066 |
+
"loss": 0.4671,
|
2067 |
+
"step": 294
|
2068 |
+
},
|
2069 |
+
{
|
2070 |
+
"epoch": 0.00046051727798383975,
|
2071 |
+
"grad_norm": 0.7265625,
|
2072 |
+
"learning_rate": 0.0001,
|
2073 |
+
"loss": 0.4849,
|
2074 |
+
"step": 295
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 0.00046207835350242903,
|
2078 |
+
"grad_norm": 0.78515625,
|
2079 |
+
"learning_rate": 0.0001,
|
2080 |
+
"loss": 0.4709,
|
2081 |
+
"step": 296
|
2082 |
+
},
|
2083 |
+
{
|
2084 |
+
"epoch": 0.0004636394290210183,
|
2085 |
+
"grad_norm": 0.73828125,
|
2086 |
+
"learning_rate": 0.0001,
|
2087 |
+
"loss": 0.4423,
|
2088 |
+
"step": 297
|
2089 |
+
},
|
2090 |
+
{
|
2091 |
+
"epoch": 0.0004652005045396076,
|
2092 |
+
"grad_norm": 0.5859375,
|
2093 |
+
"learning_rate": 0.0001,
|
2094 |
+
"loss": 0.4377,
|
2095 |
+
"step": 298
|
2096 |
+
},
|
2097 |
+
{
|
2098 |
+
"epoch": 0.0004667615800581969,
|
2099 |
+
"grad_norm": 0.80859375,
|
2100 |
+
"learning_rate": 0.0001,
|
2101 |
+
"loss": 0.4701,
|
2102 |
+
"step": 299
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 0.0004683226555767862,
|
2106 |
+
"grad_norm": 0.65234375,
|
2107 |
+
"learning_rate": 0.0001,
|
2108 |
+
"loss": 0.4898,
|
2109 |
+
"step": 300
|
2110 |
+
},
|
2111 |
+
{
|
2112 |
+
"epoch": 0.00046988373109537547,
|
2113 |
+
"grad_norm": 0.9609375,
|
2114 |
+
"learning_rate": 0.0001,
|
2115 |
+
"loss": 0.4765,
|
2116 |
+
"step": 301
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 0.00047144480661396476,
|
2120 |
+
"grad_norm": 1.09375,
|
2121 |
+
"learning_rate": 0.0001,
|
2122 |
+
"loss": 0.4428,
|
2123 |
+
"step": 302
|
2124 |
+
},
|
2125 |
+
{
|
2126 |
+
"epoch": 0.00047300588213255404,
|
2127 |
+
"grad_norm": 1.6875,
|
2128 |
+
"learning_rate": 0.0001,
|
2129 |
+
"loss": 0.4729,
|
2130 |
+
"step": 303
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 0.00047456695765114333,
|
2134 |
+
"grad_norm": 1.234375,
|
2135 |
+
"learning_rate": 0.0001,
|
2136 |
+
"loss": 0.4545,
|
2137 |
+
"step": 304
|
2138 |
+
},
|
2139 |
+
{
|
2140 |
+
"epoch": 0.0004761280331697326,
|
2141 |
+
"grad_norm": 1.046875,
|
2142 |
+
"learning_rate": 0.0001,
|
2143 |
+
"loss": 0.4885,
|
2144 |
+
"step": 305
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 0.0004776891086883219,
|
2148 |
+
"grad_norm": 1.0625,
|
2149 |
+
"learning_rate": 0.0001,
|
2150 |
+
"loss": 0.4445,
|
2151 |
+
"step": 306
|
2152 |
+
},
|
2153 |
+
{
|
2154 |
+
"epoch": 0.0004792501842069112,
|
2155 |
+
"grad_norm": 0.94140625,
|
2156 |
+
"learning_rate": 0.0001,
|
2157 |
+
"loss": 0.4656,
|
2158 |
+
"step": 307
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 0.0004808112597255005,
|
2162 |
+
"grad_norm": 1.09375,
|
2163 |
+
"learning_rate": 0.0001,
|
2164 |
+
"loss": 0.45,
|
2165 |
+
"step": 308
|
2166 |
+
},
|
2167 |
+
{
|
2168 |
+
"epoch": 0.00048237233524408977,
|
2169 |
+
"grad_norm": 0.859375,
|
2170 |
+
"learning_rate": 0.0001,
|
2171 |
+
"loss": 0.4423,
|
2172 |
+
"step": 309
|
2173 |
+
},
|
2174 |
+
{
|
2175 |
+
"epoch": 0.00048393341076267905,
|
2176 |
+
"grad_norm": 0.90234375,
|
2177 |
+
"learning_rate": 0.0001,
|
2178 |
+
"loss": 0.4439,
|
2179 |
+
"step": 310
|
2180 |
+
},
|
2181 |
+
{
|
2182 |
+
"epoch": 0.00048549448628126834,
|
2183 |
+
"grad_norm": 1.2109375,
|
2184 |
+
"learning_rate": 0.0001,
|
2185 |
+
"loss": 0.4512,
|
2186 |
+
"step": 311
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 0.00048705556179985763,
|
2190 |
+
"grad_norm": 1.125,
|
2191 |
+
"learning_rate": 0.0001,
|
2192 |
+
"loss": 0.4412,
|
2193 |
+
"step": 312
|
2194 |
+
},
|
2195 |
+
{
|
2196 |
+
"epoch": 0.0004886166373184469,
|
2197 |
+
"grad_norm": 1.34375,
|
2198 |
+
"learning_rate": 0.0001,
|
2199 |
+
"loss": 0.4502,
|
2200 |
+
"step": 313
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 0.0004901777128370362,
|
2204 |
+
"grad_norm": 1.1171875,
|
2205 |
+
"learning_rate": 0.0001,
|
2206 |
+
"loss": 0.4405,
|
2207 |
+
"step": 314
|
2208 |
+
},
|
2209 |
+
{
|
2210 |
+
"epoch": 0.0004917387883556255,
|
2211 |
+
"grad_norm": 0.8359375,
|
2212 |
+
"learning_rate": 0.0001,
|
2213 |
+
"loss": 0.4358,
|
2214 |
+
"step": 315
|
2215 |
+
},
|
2216 |
+
{
|
2217 |
+
"epoch": 0.0004932998638742148,
|
2218 |
+
"grad_norm": 0.91015625,
|
2219 |
+
"learning_rate": 0.0001,
|
2220 |
+
"loss": 0.4417,
|
2221 |
+
"step": 316
|
2222 |
+
},
|
2223 |
+
{
|
2224 |
+
"epoch": 0.0004948609393928041,
|
2225 |
+
"grad_norm": 0.640625,
|
2226 |
+
"learning_rate": 0.0001,
|
2227 |
+
"loss": 0.4419,
|
2228 |
+
"step": 317
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 0.0004964220149113934,
|
2232 |
+
"grad_norm": 0.8203125,
|
2233 |
+
"learning_rate": 0.0001,
|
2234 |
+
"loss": 0.4209,
|
2235 |
+
"step": 318
|
2236 |
+
},
|
2237 |
+
{
|
2238 |
+
"epoch": 0.0004979830904299826,
|
2239 |
+
"grad_norm": 0.7734375,
|
2240 |
+
"learning_rate": 0.0001,
|
2241 |
+
"loss": 0.4525,
|
2242 |
+
"step": 319
|
2243 |
+
},
|
2244 |
+
{
|
2245 |
+
"epoch": 0.0004995441659485719,
|
2246 |
+
"grad_norm": 0.71484375,
|
2247 |
+
"learning_rate": 0.0001,
|
2248 |
+
"loss": 0.4256,
|
2249 |
+
"step": 320
|
2250 |
+
},
|
2251 |
+
{
|
2252 |
+
"epoch": 0.0005011052414671612,
|
2253 |
+
"grad_norm": 0.71875,
|
2254 |
+
"learning_rate": 0.0001,
|
2255 |
+
"loss": 0.4323,
|
2256 |
+
"step": 321
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 0.0005026663169857505,
|
2260 |
+
"grad_norm": 0.62890625,
|
2261 |
+
"learning_rate": 0.0001,
|
2262 |
+
"loss": 0.4182,
|
2263 |
+
"step": 322
|
2264 |
+
},
|
2265 |
+
{
|
2266 |
+
"epoch": 0.0005042273925043398,
|
2267 |
+
"grad_norm": 1.015625,
|
2268 |
+
"learning_rate": 0.0001,
|
2269 |
+
"loss": 0.4241,
|
2270 |
+
"step": 323
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 0.0005057884680229291,
|
2274 |
+
"grad_norm": 0.5859375,
|
2275 |
+
"learning_rate": 0.0001,
|
2276 |
+
"loss": 0.4233,
|
2277 |
+
"step": 324
|
2278 |
+
},
|
2279 |
+
{
|
2280 |
+
"epoch": 0.0005073495435415184,
|
2281 |
+
"grad_norm": 0.69140625,
|
2282 |
+
"learning_rate": 0.0001,
|
2283 |
+
"loss": 0.4484,
|
2284 |
+
"step": 325
|
2285 |
+
},
|
2286 |
+
{
|
2287 |
+
"epoch": 0.0005089106190601077,
|
2288 |
+
"grad_norm": 0.6328125,
|
2289 |
+
"learning_rate": 0.0001,
|
2290 |
+
"loss": 0.4717,
|
2291 |
+
"step": 326
|
2292 |
+
},
|
2293 |
+
{
|
2294 |
+
"epoch": 0.0005104716945786969,
|
2295 |
+
"grad_norm": 0.72265625,
|
2296 |
+
"learning_rate": 0.0001,
|
2297 |
+
"loss": 0.4278,
|
2298 |
+
"step": 327
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 0.0005120327700972862,
|
2302 |
+
"grad_norm": 0.671875,
|
2303 |
+
"learning_rate": 0.0001,
|
2304 |
+
"loss": 0.4443,
|
2305 |
+
"step": 328
|
2306 |
+
},
|
2307 |
+
{
|
2308 |
+
"epoch": 0.0005135938456158755,
|
2309 |
+
"grad_norm": 0.7890625,
|
2310 |
+
"learning_rate": 0.0001,
|
2311 |
+
"loss": 0.4702,
|
2312 |
+
"step": 329
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 0.0005151549211344648,
|
2316 |
+
"grad_norm": 0.64453125,
|
2317 |
+
"learning_rate": 0.0001,
|
2318 |
+
"loss": 0.4578,
|
2319 |
+
"step": 330
|
2320 |
+
},
|
2321 |
+
{
|
2322 |
+
"epoch": 0.0005167159966530541,
|
2323 |
+
"grad_norm": 0.7890625,
|
2324 |
+
"learning_rate": 0.0001,
|
2325 |
+
"loss": 0.4318,
|
2326 |
+
"step": 331
|
2327 |
+
},
|
2328 |
+
{
|
2329 |
+
"epoch": 0.0005182770721716434,
|
2330 |
+
"grad_norm": 0.734375,
|
2331 |
+
"learning_rate": 0.0001,
|
2332 |
+
"loss": 0.4198,
|
2333 |
+
"step": 332
|
2334 |
+
},
|
2335 |
+
{
|
2336 |
+
"epoch": 0.0005198381476902327,
|
2337 |
+
"grad_norm": 0.62890625,
|
2338 |
+
"learning_rate": 0.0001,
|
2339 |
+
"loss": 0.4155,
|
2340 |
+
"step": 333
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 0.000521399223208822,
|
2344 |
+
"grad_norm": 0.6328125,
|
2345 |
+
"learning_rate": 0.0001,
|
2346 |
+
"loss": 0.4031,
|
2347 |
+
"step": 334
|
2348 |
+
},
|
2349 |
+
{
|
2350 |
+
"epoch": 0.0005229602987274112,
|
2351 |
+
"grad_norm": 0.796875,
|
2352 |
+
"learning_rate": 0.0001,
|
2353 |
+
"loss": 0.4424,
|
2354 |
+
"step": 335
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 0.0005245213742460005,
|
2358 |
+
"grad_norm": 0.61328125,
|
2359 |
+
"learning_rate": 0.0001,
|
2360 |
+
"loss": 0.418,
|
2361 |
+
"step": 336
|
2362 |
+
},
|
2363 |
+
{
|
2364 |
+
"epoch": 0.0005260824497645898,
|
2365 |
+
"grad_norm": 0.80078125,
|
2366 |
+
"learning_rate": 0.0001,
|
2367 |
+
"loss": 0.4132,
|
2368 |
+
"step": 337
|
2369 |
+
},
|
2370 |
+
{
|
2371 |
+
"epoch": 0.0005276435252831791,
|
2372 |
+
"grad_norm": 0.55859375,
|
2373 |
+
"learning_rate": 0.0001,
|
2374 |
+
"loss": 0.3961,
|
2375 |
+
"step": 338
|
2376 |
+
},
|
2377 |
+
{
|
2378 |
+
"epoch": 0.0005292046008017684,
|
2379 |
+
"grad_norm": 0.65625,
|
2380 |
+
"learning_rate": 0.0001,
|
2381 |
+
"loss": 0.4217,
|
2382 |
+
"step": 339
|
2383 |
+
},
|
2384 |
+
{
|
2385 |
+
"epoch": 0.0005307656763203577,
|
2386 |
+
"grad_norm": 0.6875,
|
2387 |
+
"learning_rate": 0.0001,
|
2388 |
+
"loss": 0.4097,
|
2389 |
+
"step": 340
|
2390 |
+
},
|
2391 |
+
{
|
2392 |
+
"epoch": 0.000532326751838947,
|
2393 |
+
"grad_norm": 0.6875,
|
2394 |
+
"learning_rate": 0.0001,
|
2395 |
+
"loss": 0.4072,
|
2396 |
+
"step": 341
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 0.0005338878273575362,
|
2400 |
+
"grad_norm": 2.0,
|
2401 |
+
"learning_rate": 0.0001,
|
2402 |
+
"loss": 0.4652,
|
2403 |
+
"step": 342
|
2404 |
+
},
|
2405 |
+
{
|
2406 |
+
"epoch": 0.0005354489028761255,
|
2407 |
+
"grad_norm": 1.515625,
|
2408 |
+
"learning_rate": 0.0001,
|
2409 |
+
"loss": 0.4493,
|
2410 |
+
"step": 343
|
2411 |
+
},
|
2412 |
+
{
|
2413 |
+
"epoch": 0.0005370099783947148,
|
2414 |
+
"grad_norm": 1.5,
|
2415 |
+
"learning_rate": 0.0001,
|
2416 |
+
"loss": 0.4394,
|
2417 |
+
"step": 344
|
2418 |
+
},
|
2419 |
+
{
|
2420 |
+
"epoch": 0.0005385710539133041,
|
2421 |
+
"grad_norm": 1.75,
|
2422 |
+
"learning_rate": 0.0001,
|
2423 |
+
"loss": 0.4023,
|
2424 |
+
"step": 345
|
2425 |
+
},
|
2426 |
+
{
|
2427 |
+
"epoch": 0.0005401321294318934,
|
2428 |
+
"grad_norm": 0.765625,
|
2429 |
+
"learning_rate": 0.0001,
|
2430 |
+
"loss": 0.4229,
|
2431 |
+
"step": 346
|
2432 |
+
},
|
2433 |
+
{
|
2434 |
+
"epoch": 0.0005416932049504827,
|
2435 |
+
"grad_norm": 1.015625,
|
2436 |
+
"learning_rate": 0.0001,
|
2437 |
+
"loss": 0.412,
|
2438 |
+
"step": 347
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 0.000543254280469072,
|
2442 |
+
"grad_norm": 1.2109375,
|
2443 |
+
"learning_rate": 0.0001,
|
2444 |
+
"loss": 0.3834,
|
2445 |
+
"step": 348
|
2446 |
+
},
|
2447 |
+
{
|
2448 |
+
"epoch": 0.0005448153559876613,
|
2449 |
+
"grad_norm": 0.921875,
|
2450 |
+
"learning_rate": 0.0001,
|
2451 |
+
"loss": 0.4088,
|
2452 |
+
"step": 349
|
2453 |
+
},
|
2454 |
+
{
|
2455 |
+
"epoch": 0.0005463764315062505,
|
2456 |
+
"grad_norm": 1.59375,
|
2457 |
+
"learning_rate": 0.0001,
|
2458 |
+
"loss": 0.4056,
|
2459 |
+
"step": 350
|
2460 |
+
},
|
2461 |
+
{
|
2462 |
+
"epoch": 0.0005479375070248398,
|
2463 |
+
"grad_norm": 1.828125,
|
2464 |
+
"learning_rate": 0.0001,
|
2465 |
+
"loss": 0.3936,
|
2466 |
+
"step": 351
|
2467 |
+
},
|
2468 |
+
{
|
2469 |
+
"epoch": 0.0005494985825434291,
|
2470 |
+
"grad_norm": 2.65625,
|
2471 |
+
"learning_rate": 0.0001,
|
2472 |
+
"loss": 0.4552,
|
2473 |
+
"step": 352
|
2474 |
+
},
|
2475 |
+
{
|
2476 |
+
"epoch": 0.0005510596580620184,
|
2477 |
+
"grad_norm": 1.34375,
|
2478 |
+
"learning_rate": 0.0001,
|
2479 |
+
"loss": 0.3997,
|
2480 |
+
"step": 353
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 0.0005526207335806077,
|
2484 |
+
"grad_norm": 1.6171875,
|
2485 |
+
"learning_rate": 0.0001,
|
2486 |
+
"loss": 0.3907,
|
2487 |
+
"step": 354
|
2488 |
+
},
|
2489 |
+
{
|
2490 |
+
"epoch": 0.000554181809099197,
|
2491 |
+
"grad_norm": 1.234375,
|
2492 |
+
"learning_rate": 0.0001,
|
2493 |
+
"loss": 0.4121,
|
2494 |
+
"step": 355
|
2495 |
+
},
|
2496 |
+
{
|
2497 |
+
"epoch": 0.0005557428846177863,
|
2498 |
+
"grad_norm": 0.921875,
|
2499 |
+
"learning_rate": 0.0001,
|
2500 |
+
"loss": 0.4053,
|
2501 |
+
"step": 356
|
2502 |
+
},
|
2503 |
+
{
|
2504 |
+
"epoch": 0.0005573039601363756,
|
2505 |
+
"grad_norm": 1.5,
|
2506 |
+
"learning_rate": 0.0001,
|
2507 |
+
"loss": 0.3943,
|
2508 |
+
"step": 357
|
2509 |
+
},
|
2510 |
+
{
|
2511 |
+
"epoch": 0.0005588650356549648,
|
2512 |
+
"grad_norm": 2.046875,
|
2513 |
+
"learning_rate": 0.0001,
|
2514 |
+
"loss": 0.4542,
|
2515 |
+
"step": 358
|
2516 |
+
},
|
2517 |
+
{
|
2518 |
+
"epoch": 0.0005604261111735541,
|
2519 |
+
"grad_norm": 0.8203125,
|
2520 |
+
"learning_rate": 0.0001,
|
2521 |
+
"loss": 0.4462,
|
2522 |
+
"step": 359
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 0.0005619871866921434,
|
2526 |
+
"grad_norm": 3.28125,
|
2527 |
+
"learning_rate": 0.0001,
|
2528 |
+
"loss": 0.3853,
|
2529 |
+
"step": 360
|
2530 |
+
},
|
2531 |
+
{
|
2532 |
+
"epoch": 0.0005635482622107327,
|
2533 |
+
"grad_norm": 2.359375,
|
2534 |
+
"learning_rate": 0.0001,
|
2535 |
+
"loss": 0.4277,
|
2536 |
+
"step": 361
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 0.000565109337729322,
|
2540 |
+
"grad_norm": 1.90625,
|
2541 |
+
"learning_rate": 0.0001,
|
2542 |
+
"loss": 0.4082,
|
2543 |
+
"step": 362
|
2544 |
+
},
|
2545 |
+
{
|
2546 |
+
"epoch": 0.0005666704132479113,
|
2547 |
+
"grad_norm": 0.77734375,
|
2548 |
+
"learning_rate": 0.0001,
|
2549 |
+
"loss": 0.4095,
|
2550 |
+
"step": 363
|
2551 |
+
},
|
2552 |
+
{
|
2553 |
+
"epoch": 0.0005682314887665006,
|
2554 |
+
"grad_norm": 1.4921875,
|
2555 |
+
"learning_rate": 0.0001,
|
2556 |
+
"loss": 0.3889,
|
2557 |
+
"step": 364
|
2558 |
+
},
|
2559 |
+
{
|
2560 |
+
"epoch": 0.0005697925642850899,
|
2561 |
+
"grad_norm": 0.8828125,
|
2562 |
+
"learning_rate": 0.0001,
|
2563 |
+
"loss": 0.4383,
|
2564 |
+
"step": 365
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 0.0005713536398036791,
|
2568 |
+
"grad_norm": 1.03125,
|
2569 |
+
"learning_rate": 0.0001,
|
2570 |
+
"loss": 0.4004,
|
2571 |
+
"step": 366
|
2572 |
+
},
|
2573 |
+
{
|
2574 |
+
"epoch": 0.0005729147153222684,
|
2575 |
+
"grad_norm": 1.0390625,
|
2576 |
+
"learning_rate": 0.0001,
|
2577 |
+
"loss": 0.3863,
|
2578 |
+
"step": 367
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 0.0005744757908408577,
|
2582 |
+
"grad_norm": 1.1796875,
|
2583 |
+
"learning_rate": 0.0001,
|
2584 |
+
"loss": 0.3852,
|
2585 |
+
"step": 368
|
2586 |
+
},
|
2587 |
+
{
|
2588 |
+
"epoch": 0.000576036866359447,
|
2589 |
+
"grad_norm": 1.4375,
|
2590 |
+
"learning_rate": 0.0001,
|
2591 |
+
"loss": 0.4347,
|
2592 |
+
"step": 369
|
2593 |
+
},
|
2594 |
+
{
|
2595 |
+
"epoch": 0.0005775979418780363,
|
2596 |
+
"grad_norm": 1.265625,
|
2597 |
+
"learning_rate": 0.0001,
|
2598 |
+
"loss": 0.3822,
|
2599 |
+
"step": 370
|
2600 |
+
},
|
2601 |
+
{
|
2602 |
+
"epoch": 0.0005791590173966256,
|
2603 |
+
"grad_norm": 1.140625,
|
2604 |
+
"learning_rate": 0.0001,
|
2605 |
+
"loss": 0.3902,
|
2606 |
+
"step": 371
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 0.0005807200929152149,
|
2610 |
+
"grad_norm": 0.62109375,
|
2611 |
+
"learning_rate": 0.0001,
|
2612 |
+
"loss": 0.3886,
|
2613 |
+
"step": 372
|
2614 |
+
},
|
2615 |
+
{
|
2616 |
+
"epoch": 0.0005822811684338042,
|
2617 |
+
"grad_norm": 0.9140625,
|
2618 |
+
"learning_rate": 0.0001,
|
2619 |
+
"loss": 0.3961,
|
2620 |
+
"step": 373
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 0.0005838422439523934,
|
2624 |
+
"grad_norm": 0.7578125,
|
2625 |
+
"learning_rate": 0.0001,
|
2626 |
+
"loss": 0.3836,
|
2627 |
+
"step": 374
|
2628 |
+
},
|
2629 |
+
{
|
2630 |
+
"epoch": 0.0005854033194709827,
|
2631 |
+
"grad_norm": 0.625,
|
2632 |
+
"learning_rate": 0.0001,
|
2633 |
+
"loss": 0.3907,
|
2634 |
+
"step": 375
|
2635 |
+
},
|
2636 |
+
{
|
2637 |
+
"epoch": 0.000586964394989572,
|
2638 |
+
"grad_norm": 0.73828125,
|
2639 |
+
"learning_rate": 0.0001,
|
2640 |
+
"loss": 0.3853,
|
2641 |
+
"step": 376
|
2642 |
+
},
|
2643 |
+
{
|
2644 |
+
"epoch": 0.0005885254705081613,
|
2645 |
+
"grad_norm": 0.76171875,
|
2646 |
+
"learning_rate": 0.0001,
|
2647 |
+
"loss": 0.3883,
|
2648 |
+
"step": 377
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 0.0005900865460267506,
|
2652 |
+
"grad_norm": 0.546875,
|
2653 |
+
"learning_rate": 0.0001,
|
2654 |
+
"loss": 0.3813,
|
2655 |
+
"step": 378
|
2656 |
+
},
|
2657 |
+
{
|
2658 |
+
"epoch": 0.0005916476215453399,
|
2659 |
+
"grad_norm": 0.69921875,
|
2660 |
+
"learning_rate": 0.0001,
|
2661 |
+
"loss": 0.3859,
|
2662 |
+
"step": 379
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 0.0005932086970639292,
|
2666 |
+
"grad_norm": 0.63671875,
|
2667 |
+
"learning_rate": 0.0001,
|
2668 |
+
"loss": 0.3773,
|
2669 |
+
"step": 380
|
2670 |
+
},
|
2671 |
+
{
|
2672 |
+
"epoch": 0.0005947697725825185,
|
2673 |
+
"grad_norm": 0.58984375,
|
2674 |
+
"learning_rate": 0.0001,
|
2675 |
+
"loss": 0.3782,
|
2676 |
+
"step": 381
|
2677 |
+
},
|
2678 |
+
{
|
2679 |
+
"epoch": 0.0005963308481011077,
|
2680 |
+
"grad_norm": 0.875,
|
2681 |
+
"learning_rate": 0.0001,
|
2682 |
+
"loss": 0.4015,
|
2683 |
+
"step": 382
|
2684 |
+
},
|
2685 |
+
{
|
2686 |
+
"epoch": 0.000597891923619697,
|
2687 |
+
"grad_norm": 0.7890625,
|
2688 |
+
"learning_rate": 0.0001,
|
2689 |
+
"loss": 0.3989,
|
2690 |
+
"step": 383
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 0.0005994529991382863,
|
2694 |
+
"grad_norm": 0.8046875,
|
2695 |
+
"learning_rate": 0.0001,
|
2696 |
+
"loss": 0.3764,
|
2697 |
+
"step": 384
|
2698 |
+
},
|
2699 |
+
{
|
2700 |
+
"epoch": 0.0006010140746568756,
|
2701 |
+
"grad_norm": 0.6484375,
|
2702 |
+
"learning_rate": 0.0001,
|
2703 |
+
"loss": 0.3725,
|
2704 |
+
"step": 385
|
2705 |
+
},
|
2706 |
+
{
|
2707 |
+
"epoch": 0.0006025751501754649,
|
2708 |
+
"grad_norm": 0.734375,
|
2709 |
+
"learning_rate": 0.0001,
|
2710 |
+
"loss": 0.3793,
|
2711 |
+
"step": 386
|
2712 |
+
},
|
2713 |
+
{
|
2714 |
+
"epoch": 0.0006041362256940542,
|
2715 |
+
"grad_norm": 0.6640625,
|
2716 |
+
"learning_rate": 0.0001,
|
2717 |
+
"loss": 0.3745,
|
2718 |
+
"step": 387
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 0.0006056973012126435,
|
2722 |
+
"grad_norm": 0.75,
|
2723 |
+
"learning_rate": 0.0001,
|
2724 |
+
"loss": 0.4247,
|
2725 |
+
"step": 388
|
2726 |
+
},
|
2727 |
+
{
|
2728 |
+
"epoch": 0.0006072583767312327,
|
2729 |
+
"grad_norm": 0.66015625,
|
2730 |
+
"learning_rate": 0.0001,
|
2731 |
+
"loss": 0.3795,
|
2732 |
+
"step": 389
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 0.000608819452249822,
|
2736 |
+
"grad_norm": 0.58203125,
|
2737 |
+
"learning_rate": 0.0001,
|
2738 |
+
"loss": 0.3755,
|
2739 |
+
"step": 390
|
2740 |
+
},
|
2741 |
+
{
|
2742 |
+
"epoch": 0.0006103805277684113,
|
2743 |
+
"grad_norm": 0.84375,
|
2744 |
+
"learning_rate": 0.0001,
|
2745 |
+
"loss": 0.3804,
|
2746 |
+
"step": 391
|
2747 |
+
},
|
2748 |
+
{
|
2749 |
+
"epoch": 0.0006119416032870006,
|
2750 |
+
"grad_norm": 0.5859375,
|
2751 |
+
"learning_rate": 0.0001,
|
2752 |
+
"loss": 0.3776,
|
2753 |
+
"step": 392
|
2754 |
+
},
|
2755 |
+
{
|
2756 |
+
"epoch": 0.0006135026788055899,
|
2757 |
+
"grad_norm": 0.66015625,
|
2758 |
+
"learning_rate": 0.0001,
|
2759 |
+
"loss": 0.3772,
|
2760 |
+
"step": 393
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 0.0006150637543241792,
|
2764 |
+
"grad_norm": 0.62109375,
|
2765 |
+
"learning_rate": 0.0001,
|
2766 |
+
"loss": 0.3694,
|
2767 |
+
"step": 394
|
2768 |
+
},
|
2769 |
+
{
|
2770 |
+
"epoch": 0.0006166248298427685,
|
2771 |
+
"grad_norm": 0.73046875,
|
2772 |
+
"learning_rate": 0.0001,
|
2773 |
+
"loss": 0.3755,
|
2774 |
+
"step": 395
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 0.0006181859053613578,
|
2778 |
+
"grad_norm": 0.5703125,
|
2779 |
+
"learning_rate": 0.0001,
|
2780 |
+
"loss": 0.3689,
|
2781 |
+
"step": 396
|
2782 |
+
},
|
2783 |
+
{
|
2784 |
+
"epoch": 0.000619746980879947,
|
2785 |
+
"grad_norm": 0.578125,
|
2786 |
+
"learning_rate": 0.0001,
|
2787 |
+
"loss": 0.3794,
|
2788 |
+
"step": 397
|
2789 |
+
},
|
2790 |
+
{
|
2791 |
+
"epoch": 0.0006213080563985363,
|
2792 |
+
"grad_norm": 0.625,
|
2793 |
+
"learning_rate": 0.0001,
|
2794 |
+
"loss": 0.3553,
|
2795 |
+
"step": 398
|
2796 |
+
},
|
2797 |
+
{
|
2798 |
+
"epoch": 0.0006228691319171256,
|
2799 |
+
"grad_norm": 0.51953125,
|
2800 |
+
"learning_rate": 0.0001,
|
2801 |
+
"loss": 0.3642,
|
2802 |
+
"step": 399
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 0.0006244302074357149,
|
2806 |
+
"grad_norm": 0.53125,
|
2807 |
+
"learning_rate": 0.0001,
|
2808 |
+
"loss": 0.3746,
|
2809 |
+
"step": 400
|
2810 |
+
},
|
2811 |
+
{
|
2812 |
+
"epoch": 0.0006259912829543042,
|
2813 |
+
"grad_norm": 0.55859375,
|
2814 |
+
"learning_rate": 0.0001,
|
2815 |
+
"loss": 0.3814,
|
2816 |
+
"step": 401
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 0.0006275523584728935,
|
2820 |
+
"grad_norm": 0.53515625,
|
2821 |
+
"learning_rate": 0.0001,
|
2822 |
+
"loss": 0.3724,
|
2823 |
+
"step": 402
|
2824 |
+
},
|
2825 |
+
{
|
2826 |
+
"epoch": 0.0006291134339914828,
|
2827 |
+
"grad_norm": 0.5859375,
|
2828 |
+
"learning_rate": 0.0001,
|
2829 |
+
"loss": 0.3782,
|
2830 |
+
"step": 403
|
2831 |
+
},
|
2832 |
+
{
|
2833 |
+
"epoch": 0.0006306745095100721,
|
2834 |
+
"grad_norm": 0.55078125,
|
2835 |
+
"learning_rate": 0.0001,
|
2836 |
+
"loss": 0.3566,
|
2837 |
+
"step": 404
|
2838 |
+
},
|
2839 |
+
{
|
2840 |
+
"epoch": 0.0006322355850286613,
|
2841 |
+
"grad_norm": 0.5859375,
|
2842 |
+
"learning_rate": 0.0001,
|
2843 |
+
"loss": 0.3592,
|
2844 |
+
"step": 405
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 0.0006337966605472506,
|
2848 |
+
"grad_norm": 0.7421875,
|
2849 |
+
"learning_rate": 0.0001,
|
2850 |
+
"loss": 0.373,
|
2851 |
+
"step": 406
|
2852 |
+
},
|
2853 |
+
{
|
2854 |
+
"epoch": 0.0006353577360658399,
|
2855 |
+
"grad_norm": 0.62109375,
|
2856 |
+
"learning_rate": 0.0001,
|
2857 |
+
"loss": 0.355,
|
2858 |
+
"step": 407
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 0.0006369188115844292,
|
2862 |
+
"grad_norm": 0.66015625,
|
2863 |
+
"learning_rate": 0.0001,
|
2864 |
+
"loss": 0.3619,
|
2865 |
+
"step": 408
|
2866 |
+
},
|
2867 |
+
{
|
2868 |
+
"epoch": 0.0006384798871030185,
|
2869 |
+
"grad_norm": 0.9609375,
|
2870 |
+
"learning_rate": 0.0001,
|
2871 |
+
"loss": 0.4362,
|
2872 |
+
"step": 409
|
2873 |
+
},
|
2874 |
+
{
|
2875 |
+
"epoch": 0.0006400409626216078,
|
2876 |
+
"grad_norm": 0.62890625,
|
2877 |
+
"learning_rate": 0.0001,
|
2878 |
+
"loss": 0.3869,
|
2879 |
+
"step": 410
|
2880 |
+
},
|
2881 |
+
{
|
2882 |
+
"epoch": 0.0006416020381401971,
|
2883 |
+
"grad_norm": 0.8359375,
|
2884 |
+
"learning_rate": 0.0001,
|
2885 |
+
"loss": 0.3777,
|
2886 |
+
"step": 411
|
2887 |
+
},
|
2888 |
+
{
|
2889 |
+
"epoch": 0.0006431631136587864,
|
2890 |
+
"grad_norm": 0.625,
|
2891 |
+
"learning_rate": 0.0001,
|
2892 |
+
"loss": 0.3722,
|
2893 |
+
"step": 412
|
2894 |
+
},
|
2895 |
+
{
|
2896 |
+
"epoch": 0.0006447241891773756,
|
2897 |
+
"grad_norm": 0.59375,
|
2898 |
+
"learning_rate": 0.0001,
|
2899 |
+
"loss": 0.3756,
|
2900 |
+
"step": 413
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 0.0006462852646959649,
|
2904 |
+
"grad_norm": 0.734375,
|
2905 |
+
"learning_rate": 0.0001,
|
2906 |
+
"loss": 0.4324,
|
2907 |
+
"step": 414
|
2908 |
+
},
|
2909 |
+
{
|
2910 |
+
"epoch": 0.0006478463402145542,
|
2911 |
+
"grad_norm": 0.9609375,
|
2912 |
+
"learning_rate": 0.0001,
|
2913 |
+
"loss": 0.3727,
|
2914 |
+
"step": 415
|
2915 |
+
},
|
2916 |
+
{
|
2917 |
+
"epoch": 0.0006494074157331435,
|
2918 |
+
"grad_norm": 0.65625,
|
2919 |
+
"learning_rate": 0.0001,
|
2920 |
+
"loss": 0.367,
|
2921 |
+
"step": 416
|
2922 |
+
},
|
2923 |
+
{
|
2924 |
+
"epoch": 0.0006509684912517328,
|
2925 |
+
"grad_norm": 0.63671875,
|
2926 |
+
"learning_rate": 0.0001,
|
2927 |
+
"loss": 0.3533,
|
2928 |
+
"step": 417
|
2929 |
+
},
|
2930 |
+
{
|
2931 |
+
"epoch": 0.0006525295667703221,
|
2932 |
+
"grad_norm": 0.7109375,
|
2933 |
+
"learning_rate": 0.0001,
|
2934 |
+
"loss": 0.3653,
|
2935 |
+
"step": 418
|
2936 |
+
},
|
2937 |
+
{
|
2938 |
+
"epoch": 0.0006540906422889114,
|
2939 |
+
"grad_norm": 0.73046875,
|
2940 |
+
"learning_rate": 0.0001,
|
2941 |
+
"loss": 0.3782,
|
2942 |
+
"step": 419
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 0.0006556517178075007,
|
2946 |
+
"grad_norm": 0.65625,
|
2947 |
+
"learning_rate": 0.0001,
|
2948 |
+
"loss": 0.3655,
|
2949 |
+
"step": 420
|
2950 |
+
},
|
2951 |
+
{
|
2952 |
+
"epoch": 0.0006572127933260899,
|
2953 |
+
"grad_norm": 0.578125,
|
2954 |
+
"learning_rate": 0.0001,
|
2955 |
+
"loss": 0.3658,
|
2956 |
+
"step": 421
|
2957 |
+
},
|
2958 |
+
{
|
2959 |
+
"epoch": 0.0006587738688446792,
|
2960 |
+
"grad_norm": 0.78515625,
|
2961 |
+
"learning_rate": 0.0001,
|
2962 |
+
"loss": 0.3492,
|
2963 |
+
"step": 422
|
2964 |
+
},
|
2965 |
+
{
|
2966 |
+
"epoch": 0.0006603349443632685,
|
2967 |
+
"grad_norm": 0.6484375,
|
2968 |
+
"learning_rate": 0.0001,
|
2969 |
+
"loss": 0.3725,
|
2970 |
+
"step": 423
|
2971 |
+
},
|
2972 |
+
{
|
2973 |
+
"epoch": 0.0006618960198818578,
|
2974 |
+
"grad_norm": 0.63671875,
|
2975 |
+
"learning_rate": 0.0001,
|
2976 |
+
"loss": 0.3691,
|
2977 |
+
"step": 424
|
2978 |
+
},
|
2979 |
+
{
|
2980 |
+
"epoch": 0.0006634570954004471,
|
2981 |
+
"grad_norm": 0.65234375,
|
2982 |
+
"learning_rate": 0.0001,
|
2983 |
+
"loss": 0.3537,
|
2984 |
+
"step": 425
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 0.0006650181709190364,
|
2988 |
+
"grad_norm": 0.66796875,
|
2989 |
+
"learning_rate": 0.0001,
|
2990 |
+
"loss": 0.4247,
|
2991 |
+
"step": 426
|
2992 |
+
},
|
2993 |
+
{
|
2994 |
+
"epoch": 0.0006665792464376257,
|
2995 |
+
"grad_norm": 0.51953125,
|
2996 |
+
"learning_rate": 0.0001,
|
2997 |
+
"loss": 0.417,
|
2998 |
+
"step": 427
|
2999 |
+
},
|
3000 |
+
{
|
3001 |
+
"epoch": 0.000668140321956215,
|
3002 |
+
"grad_norm": 0.86328125,
|
3003 |
+
"learning_rate": 0.0001,
|
3004 |
+
"loss": 0.3537,
|
3005 |
+
"step": 428
|
3006 |
+
},
|
3007 |
+
{
|
3008 |
+
"epoch": 0.0006697013974748042,
|
3009 |
+
"grad_norm": 0.51171875,
|
3010 |
+
"learning_rate": 0.0001,
|
3011 |
+
"loss": 0.3648,
|
3012 |
+
"step": 429
|
3013 |
+
},
|
3014 |
+
{
|
3015 |
+
"epoch": 0.0006712624729933935,
|
3016 |
+
"grad_norm": 0.6171875,
|
3017 |
+
"learning_rate": 0.0001,
|
3018 |
+
"loss": 0.3962,
|
3019 |
+
"step": 430
|
3020 |
+
},
|
3021 |
+
{
|
3022 |
+
"epoch": 0.0006728235485119828,
|
3023 |
+
"grad_norm": 0.69921875,
|
3024 |
+
"learning_rate": 0.0001,
|
3025 |
+
"loss": 0.3553,
|
3026 |
+
"step": 431
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 0.0006743846240305721,
|
3030 |
+
"grad_norm": 0.53515625,
|
3031 |
+
"learning_rate": 0.0001,
|
3032 |
+
"loss": 0.3407,
|
3033 |
+
"step": 432
|
3034 |
+
},
|
3035 |
+
{
|
3036 |
+
"epoch": 0.0006759456995491614,
|
3037 |
+
"grad_norm": 0.671875,
|
3038 |
+
"learning_rate": 0.0001,
|
3039 |
+
"loss": 0.4124,
|
3040 |
+
"step": 433
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 0.0006775067750677507,
|
3044 |
+
"grad_norm": 0.59375,
|
3045 |
+
"learning_rate": 0.0001,
|
3046 |
+
"loss": 0.3783,
|
3047 |
+
"step": 434
|
3048 |
+
},
|
3049 |
+
{
|
3050 |
+
"epoch": 0.00067906785058634,
|
3051 |
+
"grad_norm": 0.65625,
|
3052 |
+
"learning_rate": 0.0001,
|
3053 |
+
"loss": 0.3586,
|
3054 |
+
"step": 435
|
3055 |
+
},
|
3056 |
+
{
|
3057 |
+
"epoch": 0.0006806289261049293,
|
3058 |
+
"grad_norm": 0.60546875,
|
3059 |
+
"learning_rate": 0.0001,
|
3060 |
+
"loss": 0.3491,
|
3061 |
+
"step": 436
|
3062 |
+
},
|
3063 |
+
{
|
3064 |
+
"epoch": 0.0006821900016235185,
|
3065 |
+
"grad_norm": 0.6171875,
|
3066 |
+
"learning_rate": 0.0001,
|
3067 |
+
"loss": 0.3991,
|
3068 |
+
"step": 437
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 0.0006837510771421078,
|
3072 |
+
"grad_norm": 0.69140625,
|
3073 |
+
"learning_rate": 0.0001,
|
3074 |
+
"loss": 0.3578,
|
3075 |
+
"step": 438
|
3076 |
+
},
|
3077 |
+
{
|
3078 |
+
"epoch": 0.0006853121526606971,
|
3079 |
+
"grad_norm": 0.58984375,
|
3080 |
+
"learning_rate": 0.0001,
|
3081 |
+
"loss": 0.3394,
|
3082 |
+
"step": 439
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 0.0006868732281792864,
|
3086 |
+
"grad_norm": 0.64453125,
|
3087 |
+
"learning_rate": 0.0001,
|
3088 |
+
"loss": 0.3403,
|
3089 |
+
"step": 440
|
3090 |
+
},
|
3091 |
+
{
|
3092 |
+
"epoch": 0.0006884343036978757,
|
3093 |
+
"grad_norm": 0.57421875,
|
3094 |
+
"learning_rate": 0.0001,
|
3095 |
+
"loss": 0.3523,
|
3096 |
+
"step": 441
|
3097 |
+
},
|
3098 |
+
{
|
3099 |
+
"epoch": 0.000689995379216465,
|
3100 |
+
"grad_norm": 0.515625,
|
3101 |
+
"learning_rate": 0.0001,
|
3102 |
+
"loss": 0.397,
|
3103 |
+
"step": 442
|
3104 |
+
},
|
3105 |
+
{
|
3106 |
+
"epoch": 0.0006915564547350543,
|
3107 |
+
"grad_norm": 0.62890625,
|
3108 |
+
"learning_rate": 0.0001,
|
3109 |
+
"loss": 0.3327,
|
3110 |
+
"step": 443
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 0.0006931175302536435,
|
3114 |
+
"grad_norm": 0.6015625,
|
3115 |
+
"learning_rate": 0.0001,
|
3116 |
+
"loss": 0.3446,
|
3117 |
+
"step": 444
|
3118 |
+
},
|
3119 |
+
{
|
3120 |
+
"epoch": 0.0006946786057722328,
|
3121 |
+
"grad_norm": 0.53515625,
|
3122 |
+
"learning_rate": 0.0001,
|
3123 |
+
"loss": 0.3552,
|
3124 |
+
"step": 445
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 0.0006962396812908221,
|
3128 |
+
"grad_norm": 0.68359375,
|
3129 |
+
"learning_rate": 0.0001,
|
3130 |
+
"loss": 0.3401,
|
3131 |
+
"step": 446
|
3132 |
+
},
|
3133 |
+
{
|
3134 |
+
"epoch": 0.0006978007568094114,
|
3135 |
+
"grad_norm": 0.6328125,
|
3136 |
+
"learning_rate": 0.0001,
|
3137 |
+
"loss": 0.345,
|
3138 |
+
"step": 447
|
3139 |
+
},
|
3140 |
+
{
|
3141 |
+
"epoch": 0.0006993618323280007,
|
3142 |
+
"grad_norm": 0.56640625,
|
3143 |
+
"learning_rate": 0.0001,
|
3144 |
+
"loss": 0.3484,
|
3145 |
+
"step": 448
|
3146 |
+
},
|
3147 |
+
{
|
3148 |
+
"epoch": 0.00070092290784659,
|
3149 |
+
"grad_norm": 0.5703125,
|
3150 |
+
"learning_rate": 0.0001,
|
3151 |
+
"loss": 0.3328,
|
3152 |
+
"step": 449
|
3153 |
+
},
|
3154 |
+
{
|
3155 |
+
"epoch": 0.0007024839833651793,
|
3156 |
+
"grad_norm": 0.77734375,
|
3157 |
+
"learning_rate": 0.0001,
|
3158 |
+
"loss": 0.363,
|
3159 |
+
"step": 450
|
3160 |
+
},
|
3161 |
+
{
|
3162 |
+
"epoch": 0.0007040450588837686,
|
3163 |
+
"grad_norm": 0.55859375,
|
3164 |
+
"learning_rate": 0.0001,
|
3165 |
+
"loss": 0.3292,
|
3166 |
+
"step": 451
|
3167 |
+
},
|
3168 |
+
{
|
3169 |
+
"epoch": 0.0007056061344023578,
|
3170 |
+
"grad_norm": 0.671875,
|
3171 |
+
"learning_rate": 0.0001,
|
3172 |
+
"loss": 0.3437,
|
3173 |
+
"step": 452
|
3174 |
+
},
|
3175 |
+
{
|
3176 |
+
"epoch": 0.0007071672099209471,
|
3177 |
+
"grad_norm": 0.5703125,
|
3178 |
+
"learning_rate": 0.0001,
|
3179 |
+
"loss": 0.3601,
|
3180 |
+
"step": 453
|
3181 |
+
},
|
3182 |
+
{
|
3183 |
+
"epoch": 0.0007087282854395364,
|
3184 |
+
"grad_norm": 0.50390625,
|
3185 |
+
"learning_rate": 0.0001,
|
3186 |
+
"loss": 0.3458,
|
3187 |
+
"step": 454
|
3188 |
+
},
|
3189 |
+
{
|
3190 |
+
"epoch": 0.0007102893609581257,
|
3191 |
+
"grad_norm": 0.51953125,
|
3192 |
+
"learning_rate": 0.0001,
|
3193 |
+
"loss": 0.403,
|
3194 |
+
"step": 455
|
3195 |
+
},
|
3196 |
+
{
|
3197 |
+
"epoch": 0.000711850436476715,
|
3198 |
+
"grad_norm": 0.5625,
|
3199 |
+
"learning_rate": 0.0001,
|
3200 |
+
"loss": 0.3283,
|
3201 |
+
"step": 456
|
3202 |
+
},
|
3203 |
+
{
|
3204 |
+
"epoch": 0.0007134115119953043,
|
3205 |
+
"grad_norm": 0.59375,
|
3206 |
+
"learning_rate": 0.0001,
|
3207 |
+
"loss": 0.3367,
|
3208 |
+
"step": 457
|
3209 |
+
},
|
3210 |
+
{
|
3211 |
+
"epoch": 0.0007149725875138936,
|
3212 |
+
"grad_norm": 0.609375,
|
3213 |
+
"learning_rate": 0.0001,
|
3214 |
+
"loss": 0.3623,
|
3215 |
+
"step": 458
|
3216 |
+
},
|
3217 |
+
{
|
3218 |
+
"epoch": 0.0007165336630324829,
|
3219 |
+
"grad_norm": 0.54296875,
|
3220 |
+
"learning_rate": 0.0001,
|
3221 |
+
"loss": 0.3457,
|
3222 |
+
"step": 459
|
3223 |
+
},
|
3224 |
+
{
|
3225 |
+
"epoch": 0.0007180947385510721,
|
3226 |
+
"grad_norm": 0.609375,
|
3227 |
+
"learning_rate": 0.0001,
|
3228 |
+
"loss": 0.3444,
|
3229 |
+
"step": 460
|
3230 |
+
},
|
3231 |
+
{
|
3232 |
+
"epoch": 0.0007196558140696614,
|
3233 |
+
"grad_norm": 0.6015625,
|
3234 |
+
"learning_rate": 0.0001,
|
3235 |
+
"loss": 0.3456,
|
3236 |
+
"step": 461
|
3237 |
+
},
|
3238 |
+
{
|
3239 |
+
"epoch": 0.0007212168895882507,
|
3240 |
+
"grad_norm": 0.6875,
|
3241 |
+
"learning_rate": 0.0001,
|
3242 |
+
"loss": 0.3489,
|
3243 |
+
"step": 462
|
3244 |
+
},
|
3245 |
+
{
|
3246 |
+
"epoch": 0.00072277796510684,
|
3247 |
+
"grad_norm": 0.6484375,
|
3248 |
+
"learning_rate": 0.0001,
|
3249 |
+
"loss": 0.3466,
|
3250 |
+
"step": 463
|
3251 |
+
},
|
3252 |
+
{
|
3253 |
+
"epoch": 0.0007243390406254293,
|
3254 |
+
"grad_norm": 0.6171875,
|
3255 |
+
"learning_rate": 0.0001,
|
3256 |
+
"loss": 0.3456,
|
3257 |
+
"step": 464
|
3258 |
+
},
|
3259 |
+
{
|
3260 |
+
"epoch": 0.0007259001161440186,
|
3261 |
+
"grad_norm": 0.58203125,
|
3262 |
+
"learning_rate": 0.0001,
|
3263 |
+
"loss": 0.3945,
|
3264 |
+
"step": 465
|
3265 |
+
},
|
3266 |
+
{
|
3267 |
+
"epoch": 0.0007274611916626079,
|
3268 |
+
"grad_norm": 0.6484375,
|
3269 |
+
"learning_rate": 0.0001,
|
3270 |
+
"loss": 0.3402,
|
3271 |
+
"step": 466
|
3272 |
+
},
|
3273 |
+
{
|
3274 |
+
"epoch": 0.0007290222671811972,
|
3275 |
+
"grad_norm": 0.56640625,
|
3276 |
+
"learning_rate": 0.0001,
|
3277 |
+
"loss": 0.3283,
|
3278 |
+
"step": 467
|
3279 |
+
},
|
3280 |
+
{
|
3281 |
+
"epoch": 0.0007305833426997864,
|
3282 |
+
"grad_norm": 0.546875,
|
3283 |
+
"learning_rate": 0.0001,
|
3284 |
+
"loss": 0.3223,
|
3285 |
+
"step": 468
|
3286 |
+
},
|
3287 |
+
{
|
3288 |
+
"epoch": 0.0007321444182183757,
|
3289 |
+
"grad_norm": 0.515625,
|
3290 |
+
"learning_rate": 0.0001,
|
3291 |
+
"loss": 0.3262,
|
3292 |
+
"step": 469
|
3293 |
+
},
|
3294 |
+
{
|
3295 |
+
"epoch": 0.000733705493736965,
|
3296 |
+
"grad_norm": 0.49609375,
|
3297 |
+
"learning_rate": 0.0001,
|
3298 |
+
"loss": 0.3165,
|
3299 |
+
"step": 470
|
3300 |
+
},
|
3301 |
+
{
|
3302 |
+
"epoch": 0.0007352665692555543,
|
3303 |
+
"grad_norm": 0.53125,
|
3304 |
+
"learning_rate": 0.0001,
|
3305 |
+
"loss": 0.3157,
|
3306 |
+
"step": 471
|
3307 |
+
},
|
3308 |
+
{
|
3309 |
+
"epoch": 0.0007368276447741436,
|
3310 |
+
"grad_norm": 0.4765625,
|
3311 |
+
"learning_rate": 0.0001,
|
3312 |
+
"loss": 0.3164,
|
3313 |
+
"step": 472
|
3314 |
+
},
|
3315 |
+
{
|
3316 |
+
"epoch": 0.0007383887202927329,
|
3317 |
+
"grad_norm": 0.51171875,
|
3318 |
+
"learning_rate": 0.0001,
|
3319 |
+
"loss": 0.3294,
|
3320 |
+
"step": 473
|
3321 |
+
},
|
3322 |
+
{
|
3323 |
+
"epoch": 0.0007399497958113222,
|
3324 |
+
"grad_norm": 0.55859375,
|
3325 |
+
"learning_rate": 0.0001,
|
3326 |
+
"loss": 0.3218,
|
3327 |
+
"step": 474
|
3328 |
+
},
|
3329 |
+
{
|
3330 |
+
"epoch": 0.0007415108713299115,
|
3331 |
+
"grad_norm": 0.46875,
|
3332 |
+
"learning_rate": 0.0001,
|
3333 |
+
"loss": 0.3316,
|
3334 |
+
"step": 475
|
3335 |
+
},
|
3336 |
+
{
|
3337 |
+
"epoch": 0.0007430719468485007,
|
3338 |
+
"grad_norm": 0.53515625,
|
3339 |
+
"learning_rate": 0.0001,
|
3340 |
+
"loss": 0.3292,
|
3341 |
+
"step": 476
|
3342 |
+
},
|
3343 |
+
{
|
3344 |
+
"epoch": 0.00074463302236709,
|
3345 |
+
"grad_norm": 0.50390625,
|
3346 |
+
"learning_rate": 0.0001,
|
3347 |
+
"loss": 0.3253,
|
3348 |
+
"step": 477
|
3349 |
+
},
|
3350 |
+
{
|
3351 |
+
"epoch": 0.0007461940978856793,
|
3352 |
+
"grad_norm": 0.482421875,
|
3353 |
+
"learning_rate": 0.0001,
|
3354 |
+
"loss": 0.3424,
|
3355 |
+
"step": 478
|
3356 |
+
},
|
3357 |
+
{
|
3358 |
+
"epoch": 0.0007477551734042686,
|
3359 |
+
"grad_norm": 0.609375,
|
3360 |
+
"learning_rate": 0.0001,
|
3361 |
+
"loss": 0.3813,
|
3362 |
+
"step": 479
|
3363 |
+
},
|
3364 |
+
{
|
3365 |
+
"epoch": 0.0007493162489228579,
|
3366 |
+
"grad_norm": 0.578125,
|
3367 |
+
"learning_rate": 0.0001,
|
3368 |
+
"loss": 0.3219,
|
3369 |
+
"step": 480
|
3370 |
+
},
|
3371 |
+
{
|
3372 |
+
"epoch": 0.0007508773244414472,
|
3373 |
+
"grad_norm": 0.62109375,
|
3374 |
+
"learning_rate": 0.0001,
|
3375 |
+
"loss": 0.3306,
|
3376 |
+
"step": 481
|
3377 |
+
},
|
3378 |
+
{
|
3379 |
+
"epoch": 0.0007524383999600365,
|
3380 |
+
"grad_norm": 0.5859375,
|
3381 |
+
"learning_rate": 0.0001,
|
3382 |
+
"loss": 0.3271,
|
3383 |
+
"step": 482
|
3384 |
+
},
|
3385 |
+
{
|
3386 |
+
"epoch": 0.0007539994754786258,
|
3387 |
+
"grad_norm": 0.53515625,
|
3388 |
+
"learning_rate": 0.0001,
|
3389 |
+
"loss": 0.3221,
|
3390 |
+
"step": 483
|
3391 |
+
},
|
3392 |
+
{
|
3393 |
+
"epoch": 0.000755560550997215,
|
3394 |
+
"grad_norm": 0.53125,
|
3395 |
+
"learning_rate": 0.0001,
|
3396 |
+
"loss": 0.3679,
|
3397 |
+
"step": 484
|
3398 |
+
},
|
3399 |
+
{
|
3400 |
+
"epoch": 0.0007571216265158043,
|
3401 |
+
"grad_norm": 0.6640625,
|
3402 |
+
"learning_rate": 0.0001,
|
3403 |
+
"loss": 0.3441,
|
3404 |
+
"step": 485
|
3405 |
+
},
|
3406 |
+
{
|
3407 |
+
"epoch": 0.0007586827020343936,
|
3408 |
+
"grad_norm": 0.57421875,
|
3409 |
+
"learning_rate": 0.0001,
|
3410 |
+
"loss": 0.3927,
|
3411 |
+
"step": 486
|
3412 |
+
},
|
3413 |
+
{
|
3414 |
+
"epoch": 0.0007602437775529829,
|
3415 |
+
"grad_norm": 0.58984375,
|
3416 |
+
"learning_rate": 0.0001,
|
3417 |
+
"loss": 0.3338,
|
3418 |
+
"step": 487
|
3419 |
+
},
|
3420 |
+
{
|
3421 |
+
"epoch": 0.0007618048530715722,
|
3422 |
+
"grad_norm": 0.515625,
|
3423 |
+
"learning_rate": 0.0001,
|
3424 |
+
"loss": 0.3221,
|
3425 |
+
"step": 488
|
3426 |
+
},
|
3427 |
+
{
|
3428 |
+
"epoch": 0.0007633659285901615,
|
3429 |
+
"grad_norm": 0.5234375,
|
3430 |
+
"learning_rate": 0.0001,
|
3431 |
+
"loss": 0.3034,
|
3432 |
+
"step": 489
|
3433 |
+
},
|
3434 |
+
{
|
3435 |
+
"epoch": 0.0007649270041087508,
|
3436 |
+
"grad_norm": 0.51171875,
|
3437 |
+
"learning_rate": 0.0001,
|
3438 |
+
"loss": 0.3105,
|
3439 |
+
"step": 490
|
3440 |
+
},
|
3441 |
+
{
|
3442 |
+
"epoch": 0.00076648807962734,
|
3443 |
+
"grad_norm": 0.6171875,
|
3444 |
+
"learning_rate": 0.0001,
|
3445 |
+
"loss": 0.3687,
|
3446 |
+
"step": 491
|
3447 |
+
},
|
3448 |
+
{
|
3449 |
+
"epoch": 0.0007680491551459293,
|
3450 |
+
"grad_norm": 0.6796875,
|
3451 |
+
"learning_rate": 0.0001,
|
3452 |
+
"loss": 0.3142,
|
3453 |
+
"step": 492
|
3454 |
+
},
|
3455 |
+
{
|
3456 |
+
"epoch": 0.0007696102306645186,
|
3457 |
+
"grad_norm": 0.5078125,
|
3458 |
+
"learning_rate": 0.0001,
|
3459 |
+
"loss": 0.3105,
|
3460 |
+
"step": 493
|
3461 |
+
},
|
3462 |
+
{
|
3463 |
+
"epoch": 0.0007711713061831079,
|
3464 |
+
"grad_norm": 0.53515625,
|
3465 |
+
"learning_rate": 0.0001,
|
3466 |
+
"loss": 0.3158,
|
3467 |
+
"step": 494
|
3468 |
+
},
|
3469 |
+
{
|
3470 |
+
"epoch": 0.0007727323817016972,
|
3471 |
+
"grad_norm": 0.59375,
|
3472 |
+
"learning_rate": 0.0001,
|
3473 |
+
"loss": 0.3057,
|
3474 |
+
"step": 495
|
3475 |
+
},
|
3476 |
+
{
|
3477 |
+
"epoch": 0.0007742934572202865,
|
3478 |
+
"grad_norm": 0.62890625,
|
3479 |
+
"learning_rate": 0.0001,
|
3480 |
+
"loss": 0.3655,
|
3481 |
+
"step": 496
|
3482 |
+
},
|
3483 |
+
{
|
3484 |
+
"epoch": 0.0007758545327388758,
|
3485 |
+
"grad_norm": 0.76953125,
|
3486 |
+
"learning_rate": 0.0001,
|
3487 |
+
"loss": 0.3113,
|
3488 |
+
"step": 497
|
3489 |
+
},
|
3490 |
+
{
|
3491 |
+
"epoch": 0.0007774156082574651,
|
3492 |
+
"grad_norm": 0.625,
|
3493 |
+
"learning_rate": 0.0001,
|
3494 |
+
"loss": 0.3669,
|
3495 |
+
"step": 498
|
3496 |
+
},
|
3497 |
+
{
|
3498 |
+
"epoch": 0.0007789766837760543,
|
3499 |
+
"grad_norm": 0.55859375,
|
3500 |
+
"learning_rate": 0.0001,
|
3501 |
+
"loss": 0.3214,
|
3502 |
+
"step": 499
|
3503 |
+
},
|
3504 |
+
{
|
3505 |
+
"epoch": 0.0007805377592946436,
|
3506 |
+
"grad_norm": 0.640625,
|
3507 |
+
"learning_rate": 0.0001,
|
3508 |
+
"loss": 0.3215,
|
3509 |
+
"step": 500
|
3510 |
+
},
|
3511 |
+
{
|
3512 |
+
"epoch": 0.0007820988348132329,
|
3513 |
+
"grad_norm": 0.59375,
|
3514 |
+
"learning_rate": 0.0001,
|
3515 |
+
"loss": 0.3567,
|
3516 |
+
"step": 501
|
3517 |
+
},
|
3518 |
+
{
|
3519 |
+
"epoch": 0.0007836599103318222,
|
3520 |
+
"grad_norm": 0.64453125,
|
3521 |
+
"learning_rate": 0.0001,
|
3522 |
+
"loss": 0.3133,
|
3523 |
+
"step": 502
|
3524 |
+
},
|
3525 |
+
{
|
3526 |
+
"epoch": 0.0007852209858504115,
|
3527 |
+
"grad_norm": 0.796875,
|
3528 |
+
"learning_rate": 0.0001,
|
3529 |
+
"loss": 0.3114,
|
3530 |
+
"step": 503
|
3531 |
+
},
|
3532 |
+
{
|
3533 |
+
"epoch": 0.0007867820613690008,
|
3534 |
+
"grad_norm": 0.5859375,
|
3535 |
+
"learning_rate": 0.0001,
|
3536 |
+
"loss": 0.3093,
|
3537 |
+
"step": 504
|
3538 |
+
},
|
3539 |
+
{
|
3540 |
+
"epoch": 0.0007883431368875901,
|
3541 |
+
"grad_norm": 0.515625,
|
3542 |
+
"learning_rate": 0.0001,
|
3543 |
+
"loss": 0.3018,
|
3544 |
+
"step": 505
|
3545 |
+
},
|
3546 |
+
{
|
3547 |
+
"epoch": 0.0007899042124061794,
|
3548 |
+
"grad_norm": 0.6484375,
|
3549 |
+
"learning_rate": 0.0001,
|
3550 |
+
"loss": 0.3054,
|
3551 |
+
"step": 506
|
3552 |
+
},
|
3553 |
+
{
|
3554 |
+
"epoch": 0.0007914652879247686,
|
3555 |
+
"grad_norm": 0.515625,
|
3556 |
+
"learning_rate": 0.0001,
|
3557 |
+
"loss": 0.3659,
|
3558 |
+
"step": 507
|
3559 |
+
},
|
3560 |
+
{
|
3561 |
+
"epoch": 0.0007930263634433579,
|
3562 |
+
"grad_norm": 0.59375,
|
3563 |
+
"learning_rate": 0.0001,
|
3564 |
+
"loss": 0.3062,
|
3565 |
+
"step": 508
|
3566 |
+
},
|
3567 |
+
{
|
3568 |
+
"epoch": 0.0007945874389619472,
|
3569 |
+
"grad_norm": 0.55078125,
|
3570 |
+
"learning_rate": 0.0001,
|
3571 |
+
"loss": 0.3097,
|
3572 |
+
"step": 509
|
3573 |
+
},
|
3574 |
+
{
|
3575 |
+
"epoch": 0.0007961485144805365,
|
3576 |
+
"grad_norm": 0.4765625,
|
3577 |
+
"learning_rate": 0.0001,
|
3578 |
+
"loss": 0.3542,
|
3579 |
+
"step": 510
|
3580 |
+
},
|
3581 |
+
{
|
3582 |
+
"epoch": 0.0007977095899991258,
|
3583 |
+
"grad_norm": 0.5390625,
|
3584 |
+
"learning_rate": 0.0001,
|
3585 |
+
"loss": 0.2866,
|
3586 |
+
"step": 511
|
3587 |
+
},
|
3588 |
+
{
|
3589 |
+
"epoch": 0.0007992706655177151,
|
3590 |
+
"grad_norm": 0.609375,
|
3591 |
+
"learning_rate": 0.0001,
|
3592 |
+
"loss": 0.3201,
|
3593 |
+
"step": 512
|
3594 |
+
},
|
3595 |
+
{
|
3596 |
+
"epoch": 0.0008008317410363044,
|
3597 |
+
"grad_norm": 0.5078125,
|
3598 |
+
"learning_rate": 0.0001,
|
3599 |
+
"loss": 0.3095,
|
3600 |
+
"step": 513
|
3601 |
+
},
|
3602 |
+
{
|
3603 |
+
"epoch": 0.0008023928165548937,
|
3604 |
+
"grad_norm": 0.5859375,
|
3605 |
+
"learning_rate": 0.0001,
|
3606 |
+
"loss": 0.3453,
|
3607 |
+
"step": 514
|
3608 |
+
},
|
3609 |
+
{
|
3610 |
+
"epoch": 0.000803953892073483,
|
3611 |
+
"grad_norm": 0.76171875,
|
3612 |
+
"learning_rate": 0.0001,
|
3613 |
+
"loss": 0.3052,
|
3614 |
+
"step": 515
|
3615 |
+
},
|
3616 |
+
{
|
3617 |
+
"epoch": 0.0008055149675920722,
|
3618 |
+
"grad_norm": 0.66796875,
|
3619 |
+
"learning_rate": 0.0001,
|
3620 |
+
"loss": 0.3219,
|
3621 |
+
"step": 516
|
3622 |
+
},
|
3623 |
+
{
|
3624 |
+
"epoch": 0.0008070760431106615,
|
3625 |
+
"grad_norm": 0.828125,
|
3626 |
+
"learning_rate": 0.0001,
|
3627 |
+
"loss": 0.364,
|
3628 |
+
"step": 517
|
3629 |
+
},
|
3630 |
+
{
|
3631 |
+
"epoch": 0.0008086371186292508,
|
3632 |
+
"grad_norm": 0.52734375,
|
3633 |
+
"learning_rate": 0.0001,
|
3634 |
+
"loss": 0.3447,
|
3635 |
+
"step": 518
|
3636 |
+
},
|
3637 |
+
{
|
3638 |
+
"epoch": 0.0008101981941478401,
|
3639 |
+
"grad_norm": 0.703125,
|
3640 |
+
"learning_rate": 0.0001,
|
3641 |
+
"loss": 0.2974,
|
3642 |
+
"step": 519
|
3643 |
+
},
|
3644 |
+
{
|
3645 |
+
"epoch": 0.0008117592696664294,
|
3646 |
+
"grad_norm": 0.6875,
|
3647 |
+
"learning_rate": 0.0001,
|
3648 |
+
"loss": 0.3645,
|
3649 |
+
"step": 520
|
3650 |
+
},
|
3651 |
+
{
|
3652 |
+
"epoch": 0.0008133203451850187,
|
3653 |
+
"grad_norm": 0.62109375,
|
3654 |
+
"learning_rate": 0.0001,
|
3655 |
+
"loss": 0.3043,
|
3656 |
+
"step": 521
|
3657 |
+
},
|
3658 |
+
{
|
3659 |
+
"epoch": 0.000814881420703608,
|
3660 |
+
"grad_norm": 0.68359375,
|
3661 |
+
"learning_rate": 0.0001,
|
3662 |
+
"loss": 0.3291,
|
3663 |
+
"step": 522
|
3664 |
+
},
|
3665 |
+
{
|
3666 |
+
"epoch": 0.0008164424962221972,
|
3667 |
+
"grad_norm": 0.6484375,
|
3668 |
+
"learning_rate": 0.0001,
|
3669 |
+
"loss": 0.2986,
|
3670 |
+
"step": 523
|
3671 |
+
},
|
3672 |
+
{
|
3673 |
+
"epoch": 0.0008180035717407865,
|
3674 |
+
"grad_norm": 0.54296875,
|
3675 |
+
"learning_rate": 0.0001,
|
3676 |
+
"loss": 0.3032,
|
3677 |
+
"step": 524
|
3678 |
+
},
|
3679 |
+
{
|
3680 |
+
"epoch": 0.0008195646472593758,
|
3681 |
+
"grad_norm": 0.60546875,
|
3682 |
+
"learning_rate": 0.0001,
|
3683 |
+
"loss": 0.3547,
|
3684 |
+
"step": 525
|
3685 |
+
},
|
3686 |
+
{
|
3687 |
+
"epoch": 0.0008211257227779651,
|
3688 |
+
"grad_norm": 0.61328125,
|
3689 |
+
"learning_rate": 0.0001,
|
3690 |
+
"loss": 0.3067,
|
3691 |
+
"step": 526
|
3692 |
+
},
|
3693 |
+
{
|
3694 |
+
"epoch": 0.0008226867982965544,
|
3695 |
+
"grad_norm": 0.57421875,
|
3696 |
+
"learning_rate": 0.0001,
|
3697 |
+
"loss": 0.3021,
|
3698 |
+
"step": 527
|
3699 |
+
},
|
3700 |
+
{
|
3701 |
+
"epoch": 0.0008242478738151437,
|
3702 |
+
"grad_norm": 0.5234375,
|
3703 |
+
"learning_rate": 0.0001,
|
3704 |
+
"loss": 0.3533,
|
3705 |
+
"step": 528
|
3706 |
+
},
|
3707 |
+
{
|
3708 |
+
"epoch": 0.000825808949333733,
|
3709 |
+
"grad_norm": 0.55859375,
|
3710 |
+
"learning_rate": 0.0001,
|
3711 |
+
"loss": 0.2936,
|
3712 |
+
"step": 529
|
3713 |
+
},
|
3714 |
+
{
|
3715 |
+
"epoch": 0.0008273700248523223,
|
3716 |
+
"grad_norm": 0.62890625,
|
3717 |
+
"learning_rate": 0.0001,
|
3718 |
+
"loss": 0.3007,
|
3719 |
+
"step": 530
|
3720 |
+
},
|
3721 |
+
{
|
3722 |
+
"epoch": 0.0008289311003709115,
|
3723 |
+
"grad_norm": 0.66796875,
|
3724 |
+
"learning_rate": 0.0001,
|
3725 |
+
"loss": 0.3614,
|
3726 |
+
"step": 531
|
3727 |
+
},
|
3728 |
+
{
|
3729 |
+
"epoch": 0.0008304921758895008,
|
3730 |
+
"grad_norm": 0.7109375,
|
3731 |
+
"learning_rate": 0.0001,
|
3732 |
+
"loss": 0.3416,
|
3733 |
+
"step": 532
|
3734 |
+
},
|
3735 |
+
{
|
3736 |
+
"epoch": 0.0008320532514080901,
|
3737 |
+
"grad_norm": 0.640625,
|
3738 |
+
"learning_rate": 0.0001,
|
3739 |
+
"loss": 0.3472,
|
3740 |
+
"step": 533
|
3741 |
+
},
|
3742 |
+
{
|
3743 |
+
"epoch": 0.0008336143269266794,
|
3744 |
+
"grad_norm": 0.69921875,
|
3745 |
+
"learning_rate": 0.0001,
|
3746 |
+
"loss": 0.3217,
|
3747 |
+
"step": 534
|
3748 |
+
},
|
3749 |
+
{
|
3750 |
+
"epoch": 0.0008351754024452687,
|
3751 |
+
"grad_norm": 0.66015625,
|
3752 |
+
"learning_rate": 0.0001,
|
3753 |
+
"loss": 0.304,
|
3754 |
+
"step": 535
|
3755 |
+
},
|
3756 |
+
{
|
3757 |
+
"epoch": 0.000836736477963858,
|
3758 |
+
"grad_norm": 0.515625,
|
3759 |
+
"learning_rate": 0.0001,
|
3760 |
+
"loss": 0.2929,
|
3761 |
+
"step": 536
|
3762 |
+
},
|
3763 |
+
{
|
3764 |
+
"epoch": 0.0008382975534824473,
|
3765 |
+
"grad_norm": 0.60546875,
|
3766 |
+
"learning_rate": 0.0001,
|
3767 |
+
"loss": 0.3392,
|
3768 |
+
"step": 537
|
3769 |
+
},
|
3770 |
+
{
|
3771 |
+
"epoch": 0.0008398586290010366,
|
3772 |
+
"grad_norm": 0.63671875,
|
3773 |
+
"learning_rate": 0.0001,
|
3774 |
+
"loss": 0.2906,
|
3775 |
+
"step": 538
|
3776 |
+
},
|
3777 |
+
{
|
3778 |
+
"epoch": 0.0008414197045196258,
|
3779 |
+
"grad_norm": 0.61328125,
|
3780 |
+
"learning_rate": 0.0001,
|
3781 |
+
"loss": 0.2999,
|
3782 |
+
"step": 539
|
3783 |
+
},
|
3784 |
+
{
|
3785 |
+
"epoch": 0.0008429807800382151,
|
3786 |
+
"grad_norm": 0.70703125,
|
3787 |
+
"learning_rate": 0.0001,
|
3788 |
+
"loss": 0.3044,
|
3789 |
+
"step": 540
|
3790 |
+
},
|
3791 |
+
{
|
3792 |
+
"epoch": 0.0008445418555568044,
|
3793 |
+
"grad_norm": 0.5625,
|
3794 |
+
"learning_rate": 0.0001,
|
3795 |
+
"loss": 0.2877,
|
3796 |
+
"step": 541
|
3797 |
+
},
|
3798 |
+
{
|
3799 |
+
"epoch": 0.0008461029310753937,
|
3800 |
+
"grad_norm": 0.64453125,
|
3801 |
+
"learning_rate": 0.0001,
|
3802 |
+
"loss": 0.2899,
|
3803 |
+
"step": 542
|
3804 |
+
},
|
3805 |
+
{
|
3806 |
+
"epoch": 0.000847664006593983,
|
3807 |
+
"grad_norm": 0.58984375,
|
3808 |
+
"learning_rate": 0.0001,
|
3809 |
+
"loss": 0.3337,
|
3810 |
+
"step": 543
|
3811 |
+
},
|
3812 |
+
{
|
3813 |
+
"epoch": 0.0008492250821125723,
|
3814 |
+
"grad_norm": 0.70703125,
|
3815 |
+
"learning_rate": 0.0001,
|
3816 |
+
"loss": 0.2974,
|
3817 |
+
"step": 544
|
3818 |
+
},
|
3819 |
+
{
|
3820 |
+
"epoch": 0.0008507861576311616,
|
3821 |
+
"grad_norm": 0.53125,
|
3822 |
+
"learning_rate": 0.0001,
|
3823 |
+
"loss": 0.2843,
|
3824 |
+
"step": 545
|
3825 |
+
},
|
3826 |
+
{
|
3827 |
+
"epoch": 0.0008523472331497509,
|
3828 |
+
"grad_norm": 0.69921875,
|
3829 |
+
"learning_rate": 0.0001,
|
3830 |
+
"loss": 0.3668,
|
3831 |
+
"step": 546
|
3832 |
+
},
|
3833 |
+
{
|
3834 |
+
"epoch": 0.0008539083086683401,
|
3835 |
+
"grad_norm": 0.51953125,
|
3836 |
+
"learning_rate": 0.0001,
|
3837 |
+
"loss": 0.3406,
|
3838 |
+
"step": 547
|
3839 |
+
},
|
3840 |
+
{
|
3841 |
+
"epoch": 0.0008554693841869294,
|
3842 |
+
"grad_norm": 0.51171875,
|
3843 |
+
"learning_rate": 0.0001,
|
3844 |
+
"loss": 0.3291,
|
3845 |
+
"step": 548
|
3846 |
+
},
|
3847 |
+
{
|
3848 |
+
"epoch": 0.0008570304597055187,
|
3849 |
+
"grad_norm": 0.62890625,
|
3850 |
+
"learning_rate": 0.0001,
|
3851 |
+
"loss": 0.2875,
|
3852 |
+
"step": 549
|
3853 |
+
},
|
3854 |
+
{
|
3855 |
+
"epoch": 0.000858591535224108,
|
3856 |
+
"grad_norm": 0.52734375,
|
3857 |
+
"learning_rate": 0.0001,
|
3858 |
+
"loss": 0.2728,
|
3859 |
+
"step": 550
|
3860 |
+
},
|
3861 |
+
{
|
3862 |
+
"epoch": 0.0008601526107426973,
|
3863 |
+
"grad_norm": 0.462890625,
|
3864 |
+
"learning_rate": 0.0001,
|
3865 |
+
"loss": 0.2711,
|
3866 |
+
"step": 551
|
3867 |
+
},
|
3868 |
+
{
|
3869 |
+
"epoch": 0.0008617136862612866,
|
3870 |
+
"grad_norm": 0.53515625,
|
3871 |
+
"learning_rate": 0.0001,
|
3872 |
+
"loss": 0.2792,
|
3873 |
+
"step": 552
|
3874 |
+
},
|
3875 |
+
{
|
3876 |
+
"epoch": 0.0008632747617798759,
|
3877 |
+
"grad_norm": 0.53125,
|
3878 |
+
"learning_rate": 0.0001,
|
3879 |
+
"loss": 0.2633,
|
3880 |
+
"step": 553
|
3881 |
+
},
|
3882 |
+
{
|
3883 |
+
"epoch": 0.0008648358372984651,
|
3884 |
+
"grad_norm": 0.5234375,
|
3885 |
+
"learning_rate": 0.0001,
|
3886 |
+
"loss": 0.2924,
|
3887 |
+
"step": 554
|
3888 |
+
},
|
3889 |
+
{
|
3890 |
+
"epoch": 0.0008663969128170544,
|
3891 |
+
"grad_norm": 0.50390625,
|
3892 |
+
"learning_rate": 0.0001,
|
3893 |
+
"loss": 0.2685,
|
3894 |
+
"step": 555
|
3895 |
+
},
|
3896 |
+
{
|
3897 |
+
"epoch": 0.0008679579883356437,
|
3898 |
+
"grad_norm": 0.51953125,
|
3899 |
+
"learning_rate": 0.0001,
|
3900 |
+
"loss": 0.2905,
|
3901 |
+
"step": 556
|
3902 |
+
},
|
3903 |
+
{
|
3904 |
+
"epoch": 0.000869519063854233,
|
3905 |
+
"grad_norm": 0.58984375,
|
3906 |
+
"learning_rate": 0.0001,
|
3907 |
+
"loss": 0.2899,
|
3908 |
+
"step": 557
|
3909 |
+
},
|
3910 |
+
{
|
3911 |
+
"epoch": 0.0008710801393728223,
|
3912 |
+
"grad_norm": 0.4609375,
|
3913 |
+
"learning_rate": 0.0001,
|
3914 |
+
"loss": 0.2795,
|
3915 |
+
"step": 558
|
3916 |
+
},
|
3917 |
+
{
|
3918 |
+
"epoch": 0.0008726412148914116,
|
3919 |
+
"grad_norm": 0.5390625,
|
3920 |
+
"learning_rate": 0.0001,
|
3921 |
+
"loss": 0.278,
|
3922 |
+
"step": 559
|
3923 |
+
},
|
3924 |
+
{
|
3925 |
+
"epoch": 0.0008742022904100009,
|
3926 |
+
"grad_norm": 0.5625,
|
3927 |
+
"learning_rate": 0.0001,
|
3928 |
+
"loss": 0.2798,
|
3929 |
+
"step": 560
|
3930 |
+
},
|
3931 |
+
{
|
3932 |
+
"epoch": 0.0008757633659285902,
|
3933 |
+
"grad_norm": 0.51171875,
|
3934 |
+
"learning_rate": 0.0001,
|
3935 |
+
"loss": 0.2797,
|
3936 |
+
"step": 561
|
3937 |
+
},
|
3938 |
+
{
|
3939 |
+
"epoch": 0.0008773244414471794,
|
3940 |
+
"grad_norm": 0.53515625,
|
3941 |
+
"learning_rate": 0.0001,
|
3942 |
+
"loss": 0.287,
|
3943 |
+
"step": 562
|
3944 |
+
},
|
3945 |
+
{
|
3946 |
+
"epoch": 0.0008788855169657687,
|
3947 |
+
"grad_norm": 0.81640625,
|
3948 |
+
"learning_rate": 0.0001,
|
3949 |
+
"loss": 0.3754,
|
3950 |
+
"step": 563
|
3951 |
+
},
|
3952 |
+
{
|
3953 |
+
"epoch": 0.000880446592484358,
|
3954 |
+
"grad_norm": 0.94140625,
|
3955 |
+
"learning_rate": 0.0001,
|
3956 |
+
"loss": 0.2784,
|
3957 |
+
"step": 564
|
3958 |
+
},
|
3959 |
+
{
|
3960 |
+
"epoch": 0.0008820076680029473,
|
3961 |
+
"grad_norm": 0.609375,
|
3962 |
+
"learning_rate": 0.0001,
|
3963 |
+
"loss": 0.2647,
|
3964 |
+
"step": 565
|
3965 |
+
},
|
3966 |
+
{
|
3967 |
+
"epoch": 0.0008835687435215366,
|
3968 |
+
"grad_norm": 0.75,
|
3969 |
+
"learning_rate": 0.0001,
|
3970 |
+
"loss": 0.3092,
|
3971 |
+
"step": 566
|
3972 |
+
},
|
3973 |
+
{
|
3974 |
+
"epoch": 0.0008851298190401259,
|
3975 |
+
"grad_norm": 0.58984375,
|
3976 |
+
"learning_rate": 0.0001,
|
3977 |
+
"loss": 0.3364,
|
3978 |
+
"step": 567
|
3979 |
+
},
|
3980 |
+
{
|
3981 |
+
"epoch": 0.0008866908945587152,
|
3982 |
+
"grad_norm": 0.6171875,
|
3983 |
+
"learning_rate": 0.0001,
|
3984 |
+
"loss": 0.2655,
|
3985 |
+
"step": 568
|
3986 |
+
},
|
3987 |
+
{
|
3988 |
+
"epoch": 0.0008882519700773045,
|
3989 |
+
"grad_norm": 0.70703125,
|
3990 |
+
"learning_rate": 0.0001,
|
3991 |
+
"loss": 0.2768,
|
3992 |
+
"step": 569
|
3993 |
+
},
|
3994 |
+
{
|
3995 |
+
"epoch": 0.0008898130455958937,
|
3996 |
+
"grad_norm": 0.671875,
|
3997 |
+
"learning_rate": 0.0001,
|
3998 |
+
"loss": 0.3295,
|
3999 |
+
"step": 570
|
4000 |
+
},
|
4001 |
+
{
|
4002 |
+
"epoch": 0.000891374121114483,
|
4003 |
+
"grad_norm": 0.90234375,
|
4004 |
+
"learning_rate": 0.0001,
|
4005 |
+
"loss": 0.3053,
|
4006 |
+
"step": 571
|
4007 |
+
},
|
4008 |
+
{
|
4009 |
+
"epoch": 0.0008929351966330723,
|
4010 |
+
"grad_norm": 0.578125,
|
4011 |
+
"learning_rate": 0.0001,
|
4012 |
+
"loss": 0.2601,
|
4013 |
+
"step": 572
|
4014 |
+
},
|
4015 |
+
{
|
4016 |
+
"epoch": 0.0008944962721516616,
|
4017 |
+
"grad_norm": 0.5703125,
|
4018 |
+
"learning_rate": 0.0001,
|
4019 |
+
"loss": 0.2743,
|
4020 |
+
"step": 573
|
4021 |
+
},
|
4022 |
+
{
|
4023 |
+
"epoch": 0.0008960573476702509,
|
4024 |
+
"grad_norm": 0.49609375,
|
4025 |
+
"learning_rate": 0.0001,
|
4026 |
+
"loss": 0.2645,
|
4027 |
+
"step": 574
|
4028 |
+
},
|
4029 |
+
{
|
4030 |
+
"epoch": 0.0008976184231888402,
|
4031 |
+
"grad_norm": 0.60546875,
|
4032 |
+
"learning_rate": 0.0001,
|
4033 |
+
"loss": 0.4089,
|
4034 |
+
"step": 575
|
4035 |
+
},
|
4036 |
+
{
|
4037 |
+
"epoch": 0.0008991794987074295,
|
4038 |
+
"grad_norm": 0.734375,
|
4039 |
+
"learning_rate": 0.0001,
|
4040 |
+
"loss": 0.2643,
|
4041 |
+
"step": 576
|
4042 |
+
},
|
4043 |
+
{
|
4044 |
+
"epoch": 0.0009007405742260188,
|
4045 |
+
"grad_norm": 0.61328125,
|
4046 |
+
"learning_rate": 0.0001,
|
4047 |
+
"loss": 0.2858,
|
4048 |
+
"step": 577
|
4049 |
+
},
|
4050 |
+
{
|
4051 |
+
"epoch": 0.000902301649744608,
|
4052 |
+
"grad_norm": 0.609375,
|
4053 |
+
"learning_rate": 0.0001,
|
4054 |
+
"loss": 0.2518,
|
4055 |
+
"step": 578
|
4056 |
+
},
|
4057 |
+
{
|
4058 |
+
"epoch": 0.0009038627252631973,
|
4059 |
+
"grad_norm": 0.6640625,
|
4060 |
+
"learning_rate": 0.0001,
|
4061 |
+
"loss": 0.2542,
|
4062 |
+
"step": 579
|
4063 |
+
},
|
4064 |
+
{
|
4065 |
+
"epoch": 0.0009054238007817866,
|
4066 |
+
"grad_norm": 0.7890625,
|
4067 |
+
"learning_rate": 0.0001,
|
4068 |
+
"loss": 0.2899,
|
4069 |
+
"step": 580
|
4070 |
+
},
|
4071 |
+
{
|
4072 |
+
"epoch": 0.0009069848763003759,
|
4073 |
+
"grad_norm": 0.52734375,
|
4074 |
+
"learning_rate": 0.0001,
|
4075 |
+
"loss": 0.2722,
|
4076 |
+
"step": 581
|
4077 |
+
},
|
4078 |
+
{
|
4079 |
+
"epoch": 0.0009085459518189652,
|
4080 |
+
"grad_norm": 0.48046875,
|
4081 |
+
"learning_rate": 0.0001,
|
4082 |
+
"loss": 0.2938,
|
4083 |
+
"step": 582
|
4084 |
+
},
|
4085 |
+
{
|
4086 |
+
"epoch": 0.0009101070273375545,
|
4087 |
+
"grad_norm": 0.7109375,
|
4088 |
+
"learning_rate": 0.0001,
|
4089 |
+
"loss": 0.3614,
|
4090 |
+
"step": 583
|
4091 |
+
},
|
4092 |
+
{
|
4093 |
+
"epoch": 0.0009116681028561438,
|
4094 |
+
"grad_norm": 0.6484375,
|
4095 |
+
"learning_rate": 0.0001,
|
4096 |
+
"loss": 0.2842,
|
4097 |
+
"step": 584
|
4098 |
+
},
|
4099 |
+
{
|
4100 |
+
"epoch": 0.0009132291783747331,
|
4101 |
+
"grad_norm": 0.8515625,
|
4102 |
+
"learning_rate": 0.0001,
|
4103 |
+
"loss": 0.336,
|
4104 |
+
"step": 585
|
4105 |
+
},
|
4106 |
+
{
|
4107 |
+
"epoch": 0.0009147902538933223,
|
4108 |
+
"grad_norm": 0.53515625,
|
4109 |
+
"learning_rate": 0.0001,
|
4110 |
+
"loss": 0.2707,
|
4111 |
+
"step": 586
|
4112 |
+
},
|
4113 |
+
{
|
4114 |
+
"epoch": 0.0009163513294119116,
|
4115 |
+
"grad_norm": 0.61328125,
|
4116 |
+
"learning_rate": 0.0001,
|
4117 |
+
"loss": 0.2671,
|
4118 |
+
"step": 587
|
4119 |
+
},
|
4120 |
+
{
|
4121 |
+
"epoch": 0.0009179124049305009,
|
4122 |
+
"grad_norm": 0.734375,
|
4123 |
+
"learning_rate": 0.0001,
|
4124 |
+
"loss": 0.3474,
|
4125 |
+
"step": 588
|
4126 |
+
},
|
4127 |
+
{
|
4128 |
+
"epoch": 0.0009194734804490902,
|
4129 |
+
"grad_norm": 0.6796875,
|
4130 |
+
"learning_rate": 0.0001,
|
4131 |
+
"loss": 0.2815,
|
4132 |
+
"step": 589
|
4133 |
+
},
|
4134 |
+
{
|
4135 |
+
"epoch": 0.0009210345559676795,
|
4136 |
+
"grad_norm": 0.65625,
|
4137 |
+
"learning_rate": 0.0001,
|
4138 |
+
"loss": 0.2866,
|
4139 |
+
"step": 590
|
4140 |
+
},
|
4141 |
+
{
|
4142 |
+
"epoch": 0.0009225956314862688,
|
4143 |
+
"grad_norm": 0.53125,
|
4144 |
+
"learning_rate": 0.0001,
|
4145 |
+
"loss": 0.2701,
|
4146 |
+
"step": 591
|
4147 |
+
},
|
4148 |
+
{
|
4149 |
+
"epoch": 0.0009241567070048581,
|
4150 |
+
"grad_norm": 0.69921875,
|
4151 |
+
"learning_rate": 0.0001,
|
4152 |
+
"loss": 0.3314,
|
4153 |
+
"step": 592
|
4154 |
+
},
|
4155 |
+
{
|
4156 |
+
"epoch": 0.0009257177825234474,
|
4157 |
+
"grad_norm": 0.55859375,
|
4158 |
+
"learning_rate": 0.0001,
|
4159 |
+
"loss": 0.3962,
|
4160 |
+
"step": 593
|
4161 |
+
},
|
4162 |
+
{
|
4163 |
+
"epoch": 0.0009272788580420366,
|
4164 |
+
"grad_norm": 0.78125,
|
4165 |
+
"learning_rate": 0.0001,
|
4166 |
+
"loss": 0.2653,
|
4167 |
+
"step": 594
|
4168 |
+
},
|
4169 |
+
{
|
4170 |
+
"epoch": 0.0009288399335606259,
|
4171 |
+
"grad_norm": 0.54296875,
|
4172 |
+
"learning_rate": 0.0001,
|
4173 |
+
"loss": 0.2764,
|
4174 |
+
"step": 595
|
4175 |
+
},
|
4176 |
+
{
|
4177 |
+
"epoch": 0.0009304010090792152,
|
4178 |
+
"grad_norm": 0.455078125,
|
4179 |
+
"learning_rate": 0.0001,
|
4180 |
+
"loss": 0.2629,
|
4181 |
+
"step": 596
|
4182 |
+
},
|
4183 |
+
{
|
4184 |
+
"epoch": 0.0009319620845978045,
|
4185 |
+
"grad_norm": 0.7890625,
|
4186 |
+
"learning_rate": 0.0001,
|
4187 |
+
"loss": 0.341,
|
4188 |
+
"step": 597
|
4189 |
+
},
|
4190 |
+
{
|
4191 |
+
"epoch": 0.0009335231601163938,
|
4192 |
+
"grad_norm": 0.671875,
|
4193 |
+
"learning_rate": 0.0001,
|
4194 |
+
"loss": 0.2707,
|
4195 |
+
"step": 598
|
4196 |
+
},
|
4197 |
+
{
|
4198 |
+
"epoch": 0.0009350842356349831,
|
4199 |
+
"grad_norm": 0.53125,
|
4200 |
+
"learning_rate": 0.0001,
|
4201 |
+
"loss": 0.2689,
|
4202 |
+
"step": 599
|
4203 |
+
},
|
4204 |
+
{
|
4205 |
+
"epoch": 0.0009366453111535724,
|
4206 |
+
"grad_norm": 0.51171875,
|
4207 |
+
"learning_rate": 0.0001,
|
4208 |
+
"loss": 0.3153,
|
4209 |
+
"step": 600
|
4210 |
+
}
|
4211 |
+
],
|
4212 |
+
"logging_steps": 1.0,
|
4213 |
+
"max_steps": 640584,
|
4214 |
+
"num_input_tokens_seen": 0,
|
4215 |
+
"num_train_epochs": 1,
|
4216 |
+
"save_steps": 200,
|
4217 |
+
"stateful_callbacks": {
|
4218 |
+
"TrainerControl": {
|
4219 |
+
"args": {
|
4220 |
+
"should_epoch_stop": false,
|
4221 |
+
"should_evaluate": false,
|
4222 |
+
"should_log": false,
|
4223 |
+
"should_save": true,
|
4224 |
+
"should_training_stop": false
|
4225 |
+
},
|
4226 |
+
"attributes": {}
|
4227 |
+
}
|
4228 |
+
},
|
4229 |
+
"total_flos": 157202564472832.0,
|
4230 |
+
"train_batch_size": 2,
|
4231 |
+
"trial_name": null,
|
4232 |
+
"trial_params": null
|
4233 |
+
}
|
lumina_ar-1_diffuser-6_step-600/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:adf739e1b00513e6c0f9ce5531df177dfe61846a88250d8c6d36890a2edc970c
|
3 |
+
size 5816
|