Upload folder using huggingface_hub

pretrain/one_image_layer1_pretrain_3824/config.json

@@ -0,0 +1,54 @@
+{
+  "_vocab_size": 257216,
+  "architectures": [
+    "RoboPoint_Paligemma"
+  ],
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "hidden_size": 2048,
+  "image_token_index": 257152,
+  "model_type": "paligemma",
+  "pad_token_id": 0,
+  "projection_dim": 2048,
+  "text_config": {
+    "attention_bias": false,
+    "attention_dropout": 0.0,
+    "head_dim": 256,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_activation": null,
+    "hidden_size": 2048,
+    "initializer_range": 0.02,
+    "intermediate_size": 16384,
+    "max_position_embeddings": 8192,
+    "model_type": "gemma",
+    "num_attention_heads": 8,
+    "num_hidden_layers": 18,
+    "num_image_tokens": 256,
+    "num_key_value_heads": 1,
+    "rms_norm_eps": 1e-06,
+    "rope_theta": 10000.0,
+    "torch_dtype": "bfloat16",
+    "use_cache": true,
+    "vocab_size": 257216
+  },
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.51.3",
+  "vision_config": {
+    "attention_dropout": 0.0,
+    "hidden_act": "gelu_pytorch_tanh",
+    "hidden_size": 1152,
+    "image_size": 224,
+    "intermediate_size": 4304,
+    "layer_norm_eps": 1e-06,
+    "model_type": "siglip_vision_model",
+    "num_attention_heads": 16,
+    "num_channels": 3,
+    "num_hidden_layers": 27,
+    "num_image_tokens": 256,
+    "patch_size": 14,
+    "projection_dim": 2048,
+    "projector_hidden_act": "gelu_fast",
+    "torch_dtype": "bfloat16",
+    "vision_use_head": false
+  }
+}

pretrain/one_image_layer1_pretrain_3824/generation_config.json

@@ -0,0 +1,7 @@
+{
+  "_from_model_config": true,
+  "bos_token_id": 2,
+  "eos_token_id": 1,
+  "pad_token_id": 0,
+  "transformers_version": "4.51.3"
+}

pretrain/one_image_layer1_pretrain_3824/model-00001-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f886d11a781a35e1397460c841bafb8e030d0a6283ca675d8d5f9ffc0459caf
+size 4985048384

pretrain/one_image_layer1_pretrain_3824/model-00002-of-00002.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c0b4048db6cb7288573b860367e60c348d23cd0cf4c60e9a744e910f438040a9
+size 2099036524

pretrain/one_image_layer1_pretrain_3824/model.safetensors.index.json

@@ -0,0 +1,620 @@
+{
+  "metadata": {
+    "total_size": 7083997556
+  },
+  "weight_map": {
+    "module.language_model.model.embed_tokens.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.14.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.14.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.14.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.14.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.14.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.14.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.15.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.15.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.16.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.input_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.mlp.down_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.mlp.gate_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.mlp.up_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.post_attention_layernorm.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.self_attn.k_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.self_attn.o_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.self_attn.q_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.17.self_attn.v_proj.weight": "model-00002-of-00002.safetensors",
+    "module.language_model.model.layers.2.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.input_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.mlp.down_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.mlp.gate_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.mlp.up_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.post_attention_layernorm.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.self_attn.o_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.language_model.model.norm.weight": "model-00002-of-00002.safetensors",
+    "module.multi_modal_projector.linear.bias": "model-00001-of-00002.safetensors",
+    "module.multi_modal_projector.linear.weight": "model-00001-of-00002.safetensors",
+    "module.up0.net_mask.0.bias": "model-00002-of-00002.safetensors",
+    "module.up0.net_mask.0.weight": "model-00002-of-00002.safetensors",
+    "module.up0.net_mask.2.bias": "model-00002-of-00002.safetensors",
+    "module.up0.net_mask.2.weight": "model-00002-of-00002.safetensors",
+    "module.up0.net_out.0.bias": "model-00002-of-00002.safetensors",
+    "module.up0.net_out.0.weight": "model-00002-of-00002.safetensors",
+    "module.up0.net_out.2.bias": "model-00002-of-00002.safetensors",
+    "module.up0.net_out.2.weight": "model-00002-of-00002.safetensors",
+    "module.up0.net_out.4.bias": "model-00002-of-00002.safetensors",
+    "module.up0.net_out.4.weight": "model-00002-of-00002.safetensors",
+    "module.vision_tower.vision_model.embeddings.patch_embedding.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.embeddings.patch_embedding.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.embeddings.position_embedding.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.0.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.1.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.10.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.11.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.12.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.13.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.14.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.15.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.16.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.17.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.18.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.19.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.2.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.20.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.21.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.22.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.23.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.24.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.25.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.26.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.3.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.4.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.5.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.6.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.7.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.8.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.layer_norm1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.layer_norm1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.layer_norm2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.layer_norm2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.mlp.fc1.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.mlp.fc1.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.mlp.fc2.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.mlp.fc2.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.k_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.out_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.q_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.encoder.layers.9.self_attn.v_proj.weight": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.post_layernorm.bias": "model-00001-of-00002.safetensors",
+    "module.vision_tower.vision_model.post_layernorm.weight": "model-00001-of-00002.safetensors"
+  }
+}

pretrain/one_image_layer1_pretrain_3824/optimizer.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e3f92db385c1b030b0e803daaf75a1c9abd1886ab736df6f91237dc0b78e65b
+size 10411264434

pretrain/one_image_layer1_pretrain_3824/rng_state_0.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ee195ebde9bf012f945f068f133e7fe22fef5450c496607e3ef11cc2034a186
+size 15984

pretrain/one_image_layer1_pretrain_3824/rng_state_1.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4c5aa7a36c64701b647fb2121298f95ea81b8534c49340aef7115cfe5813f215
+size 15920

pretrain/one_image_layer1_pretrain_3824/rng_state_2.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3ecc7a6507625983a175b39a25b874b0daa93e57e2878b66b44161722717adb9
+size 15920

pretrain/one_image_layer1_pretrain_3824/rng_state_3.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:fd85380aaf3a2b229e71ba6779d40797431662e65fd98354898f93110b8c8599
+size 15920

pretrain/one_image_layer1_pretrain_3824/rng_state_4.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:17c78776402f62ad362e175b0adb6333c63cc325c13ea9acc996799ee2b72998
+size 15920

pretrain/one_image_layer1_pretrain_3824/rng_state_5.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e38c4a1329b40fbbf59c9bfe31e7f8f4d423b0f795efe741115685c773627812
+size 15920

pretrain/one_image_layer1_pretrain_3824/rng_state_6.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:232e5823d58632b2bd4f0a3eaed918a00d1f4a7ad6e6cfd86785c5645c2ea0ab
+size 15920

pretrain/one_image_layer1_pretrain_3824/rng_state_7.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c01740a56a86b482251295ab8c6ab97ad9b353e9d7a86b07de2c27911a8dacb7
+size 15920

pretrain/one_image_layer1_pretrain_3824/scheduler.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5f9fb39460522fb2411b8e76bc9c22c5f74c649cb79a004c3dc7f9ef8bac6436
+size 1000

pretrain/one_image_layer1_pretrain_3824/trainer_state.json

@@ -0,0 +1,2708 @@
+{
+  "best_global_step": null,
+  "best_metric": null,
+  "best_model_checkpoint": null,
+  "epoch": 8.0,
+  "eval_steps": 500,
+  "global_step": 3824,
+  "is_hyper_param_search": false,
+  "is_local_process_zero": true,
+  "is_world_process_zero": true,
+  "log_history": [
+    {
+      "epoch": 0.02092050209205021,
+      "grad_norm": 887.3228759765625,
+      "learning_rate": 1.125e-06,
+      "loss": 30.9142,
+      "step": 10
+    },
+    {
+      "epoch": 0.04184100418410042,
+      "grad_norm": 310.3841247558594,
+      "learning_rate": 2.375e-06,
+      "loss": 27.4934,
+      "step": 20
+    },
+    {
+      "epoch": 0.06276150627615062,
+      "grad_norm": 282.7115478515625,
+      "learning_rate": 3.625e-06,
+      "loss": 25.2525,
+      "step": 30
+    },
+    {
+      "epoch": 0.08368200836820083,
+      "grad_norm": 807.3260498046875,
+      "learning_rate": 4.875000000000001e-06,
+      "loss": 21.1005,
+      "step": 40
+    },
+    {
+      "epoch": 0.10460251046025104,
+      "grad_norm": 179.2369842529297,
+      "learning_rate": 6.125e-06,
+      "loss": 18.1834,
+      "step": 50
+    },
+    {
+      "epoch": 0.12552301255230125,
+      "grad_norm": 170.45269775390625,
+      "learning_rate": 7.375e-06,
+      "loss": 16.0711,
+      "step": 60
+    },
+    {
+      "epoch": 0.14644351464435146,
+      "grad_norm": 106.6611328125,
+      "learning_rate": 8.625e-06,
+      "loss": 14.1324,
+      "step": 70
+    },
+    {
+      "epoch": 0.16736401673640167,
+      "grad_norm": 355.8836669921875,
+      "learning_rate": 9.875000000000001e-06,
+      "loss": 12.6209,
+      "step": 80
+    },
+    {
+      "epoch": 0.18828451882845187,
+      "grad_norm": 146.31329345703125,
+      "learning_rate": 1.1125000000000001e-05,
+      "loss": 11.8609,
+      "step": 90
+    },
+    {
+      "epoch": 0.20920502092050208,
+      "grad_norm": 104.998779296875,
+      "learning_rate": 1.2375000000000001e-05,
+      "loss": 11.3592,
+      "step": 100
+    },
+    {
+      "epoch": 0.2301255230125523,
+      "grad_norm": 1490.1988525390625,
+      "learning_rate": 1.3625e-05,
+      "loss": 11.5975,
+      "step": 110
+    },
+    {
+      "epoch": 0.2510460251046025,
+      "grad_norm": 210.4671173095703,
+      "learning_rate": 1.4875e-05,
+      "loss": 11.702,
+      "step": 120
+    },
+    {
+      "epoch": 0.2719665271966527,
+      "grad_norm": 160.14736938476562,
+      "learning_rate": 1.6125000000000002e-05,
+      "loss": 11.3381,
+      "step": 130
+    },
+    {
+      "epoch": 0.2928870292887029,
+      "grad_norm": 105.9501953125,
+      "learning_rate": 1.7375e-05,
+      "loss": 11.3639,
+      "step": 140
+    },
+    {
+      "epoch": 0.3138075313807531,
+      "grad_norm": 548.2748413085938,
+      "learning_rate": 1.8625000000000002e-05,
+      "loss": 11.4813,
+      "step": 150
+    },
+    {
+      "epoch": 0.33472803347280333,
+      "grad_norm": 1656.474853515625,
+      "learning_rate": 1.9875000000000002e-05,
+      "loss": 11.8497,
+      "step": 160
+    },
+    {
+      "epoch": 0.35564853556485354,
+      "grad_norm": 860.3178100585938,
+      "learning_rate": 2.1125000000000002e-05,
+      "loss": 11.8934,
+      "step": 170
+    },
+    {
+      "epoch": 0.37656903765690375,
+      "grad_norm": 238.6591339111328,
+      "learning_rate": 2.2375000000000002e-05,
+      "loss": 11.6121,
+      "step": 180
+    },
+    {
+      "epoch": 0.39748953974895396,
+      "grad_norm": 182.48626708984375,
+      "learning_rate": 2.3624999999999998e-05,
+      "loss": 11.6588,
+      "step": 190
+    },
+    {
+      "epoch": 0.41841004184100417,
+      "grad_norm": 208.10049438476562,
+      "learning_rate": 2.4875e-05,
+      "loss": 10.6958,
+      "step": 200
+    },
+    {
+      "epoch": 0.4393305439330544,
+      "grad_norm": 172.2975311279297,
+      "learning_rate": 2.6124999999999998e-05,
+      "loss": 11.1831,
+      "step": 210
+    },
+    {
+      "epoch": 0.4602510460251046,
+      "grad_norm": 84.67173767089844,
+      "learning_rate": 2.7375e-05,
+      "loss": 9.9578,
+      "step": 220
+    },
+    {
+      "epoch": 0.4811715481171548,
+      "grad_norm": 118.71012115478516,
+      "learning_rate": 2.8625e-05,
+      "loss": 12.109,
+      "step": 230
+    },
+    {
+      "epoch": 0.502092050209205,
+      "grad_norm": 86.66356658935547,
+      "learning_rate": 2.9875000000000004e-05,
+      "loss": 10.0945,
+      "step": 240
+    },
+    {
+      "epoch": 0.5230125523012552,
+      "grad_norm": 134.87005615234375,
+      "learning_rate": 3.1125000000000004e-05,
+      "loss": 10.3667,
+      "step": 250
+    },
+    {
+      "epoch": 0.5439330543933054,
+      "grad_norm": 72.37677001953125,
+      "learning_rate": 3.2375e-05,
+      "loss": 11.139,
+      "step": 260
+    },
+    {
+      "epoch": 0.5648535564853556,
+      "grad_norm": 885.1691284179688,
+      "learning_rate": 3.3625000000000004e-05,
+      "loss": 13.4426,
+      "step": 270
+    },
+    {
+      "epoch": 0.5857740585774058,
+      "grad_norm": 73.6139907836914,
+      "learning_rate": 3.4875e-05,
+      "loss": 10.569,
+      "step": 280
+    },
+    {
+      "epoch": 0.606694560669456,
+      "grad_norm": 136.91339111328125,
+      "learning_rate": 3.6125000000000004e-05,
+      "loss": 10.4833,
+      "step": 290
+    },
+    {
+      "epoch": 0.6276150627615062,
+      "grad_norm": 364.68756103515625,
+      "learning_rate": 3.737500000000001e-05,
+      "loss": 9.6223,
+      "step": 300
+    },
+    {
+      "epoch": 0.6485355648535565,
+      "grad_norm": 75.64944458007812,
+      "learning_rate": 3.8625e-05,
+      "loss": 9.6282,
+      "step": 310
+    },
+    {
+      "epoch": 0.6694560669456067,
+      "grad_norm": 52.43100357055664,
+      "learning_rate": 3.9875e-05,
+      "loss": 9.1569,
+      "step": 320
+    },
+    {
+      "epoch": 0.6903765690376569,
+      "grad_norm": 53.303531646728516,
+      "learning_rate": 4.1125000000000004e-05,
+      "loss": 8.8418,
+      "step": 330
+    },
+    {
+      "epoch": 0.7112970711297071,
+      "grad_norm": 19.971961975097656,
+      "learning_rate": 4.237500000000001e-05,
+      "loss": 8.2994,
+      "step": 340
+    },
+    {
+      "epoch": 0.7322175732217573,
+      "grad_norm": 40.7735595703125,
+      "learning_rate": 4.3625e-05,
+      "loss": 8.2646,
+      "step": 350
+    },
+    {
+      "epoch": 0.7531380753138075,
+      "grad_norm": 20.076519012451172,
+      "learning_rate": 4.4875e-05,
+      "loss": 8.1216,
+      "step": 360
+    },
+    {
+      "epoch": 0.7740585774058577,
+      "grad_norm": 31.376934051513672,
+      "learning_rate": 4.6125e-05,
+      "loss": 8.1275,
+      "step": 370
+    },
+    {
+      "epoch": 0.7949790794979079,
+      "grad_norm": 15.157088279724121,
+      "learning_rate": 4.7375e-05,
+      "loss": 7.9889,
+      "step": 380
+    },
+    {
+      "epoch": 0.8158995815899581,
+      "grad_norm": 14.430716514587402,
+      "learning_rate": 4.8625e-05,
+      "loss": 7.814,
+      "step": 390
+    },
+    {
+      "epoch": 0.8368200836820083,
+      "grad_norm": 39.173133850097656,
+      "learning_rate": 4.9875000000000006e-05,
+      "loss": 7.7884,
+      "step": 400
+    },
+    {
+      "epoch": 0.8577405857740585,
+      "grad_norm": 15.446069717407227,
+      "learning_rate": 4.986857476635514e-05,
+      "loss": 7.7428,
+      "step": 410
+    },
+    {
+      "epoch": 0.8786610878661087,
+      "grad_norm": 20.680313110351562,
+      "learning_rate": 4.9722546728971967e-05,
+      "loss": 7.656,
+      "step": 420
+    },
+    {
+      "epoch": 0.899581589958159,
+      "grad_norm": 9.957335472106934,
+      "learning_rate": 4.9576518691588786e-05,
+      "loss": 7.5898,
+      "step": 430
+    },
+    {
+      "epoch": 0.9205020920502092,
+      "grad_norm": 12.279107093811035,
+      "learning_rate": 4.9430490654205605e-05,
+      "loss": 7.5838,
+      "step": 440
+    },
+    {
+      "epoch": 0.9414225941422594,
+      "grad_norm": 10.93378734588623,
+      "learning_rate": 4.928446261682243e-05,
+      "loss": 7.5065,
+      "step": 450
+    },
+    {
+      "epoch": 0.9623430962343096,
+      "grad_norm": 16.950965881347656,
+      "learning_rate": 4.913843457943925e-05,
+      "loss": 7.4611,
+      "step": 460
+    },
+    {
+      "epoch": 0.9832635983263598,
+      "grad_norm": 12.039278984069824,
+      "learning_rate": 4.899240654205608e-05,
+      "loss": 7.4121,
+      "step": 470
+    },
+    {
+      "epoch": 1.00418410041841,
+      "grad_norm": 9.576797485351562,
+      "learning_rate": 4.88463785046729e-05,
+      "loss": 7.3744,
+      "step": 480
+    },
+    {
+      "epoch": 1.0251046025104602,
+      "grad_norm": 12.095304489135742,
+      "learning_rate": 4.870035046728972e-05,
+      "loss": 7.2232,
+      "step": 490
+    },
+    {
+      "epoch": 1.0460251046025104,
+      "grad_norm": 8.302742004394531,
+      "learning_rate": 4.855432242990655e-05,
+      "loss": 7.2095,
+      "step": 500
+    },
+    {
+      "epoch": 1.0669456066945606,
+      "grad_norm": 8.745416641235352,
+      "learning_rate": 4.840829439252337e-05,
+      "loss": 7.2109,
+      "step": 510
+    },
+    {
+      "epoch": 1.0878661087866108,
+      "grad_norm": 8.442458152770996,
+      "learning_rate": 4.826226635514019e-05,
+      "loss": 7.189,
+      "step": 520
+    },
+    {
+      "epoch": 1.108786610878661,
+      "grad_norm": 13.672759056091309,
+      "learning_rate": 4.811623831775701e-05,
+      "loss": 7.1717,
+      "step": 530
+    },
+    {
+      "epoch": 1.1297071129707112,
+      "grad_norm": 8.616190910339355,
+      "learning_rate": 4.797021028037383e-05,
+      "loss": 7.129,
+      "step": 540
+    },
+    {
+      "epoch": 1.1506276150627615,
+      "grad_norm": 10.505746841430664,
+      "learning_rate": 4.782418224299066e-05,
+      "loss": 7.141,
+      "step": 550
+    },
+    {
+      "epoch": 1.1715481171548117,
+      "grad_norm": 8.96762752532959,
+      "learning_rate": 4.767815420560748e-05,
+      "loss": 7.0351,
+      "step": 560
+    },
+    {
+      "epoch": 1.1924686192468619,
+      "grad_norm": 8.926515579223633,
+      "learning_rate": 4.75321261682243e-05,
+      "loss": 7.0872,
+      "step": 570
+    },
+    {
+      "epoch": 1.213389121338912,
+      "grad_norm": 8.333108901977539,
+      "learning_rate": 4.738609813084112e-05,
+      "loss": 7.0712,
+      "step": 580
+    },
+    {
+      "epoch": 1.2343096234309623,
+      "grad_norm": 8.47938060760498,
+      "learning_rate": 4.724007009345794e-05,
+      "loss": 7.0503,
+      "step": 590
+    },
+    {
+      "epoch": 1.2552301255230125,
+      "grad_norm": 9.584643363952637,
+      "learning_rate": 4.709404205607477e-05,
+      "loss": 7.0105,
+      "step": 600
+    },
+    {
+      "epoch": 1.2761506276150627,
+      "grad_norm": 8.007026672363281,
+      "learning_rate": 4.694801401869159e-05,
+      "loss": 7.0177,
+      "step": 610
+    },
+    {
+      "epoch": 1.297071129707113,
+      "grad_norm": 7.1111273765563965,
+      "learning_rate": 4.6801985981308414e-05,
+      "loss": 6.9577,
+      "step": 620
+    },
+    {
+      "epoch": 1.3179916317991631,
+      "grad_norm": 8.123859405517578,
+      "learning_rate": 4.665595794392524e-05,
+      "loss": 6.9265,
+      "step": 630
+    },
+    {
+      "epoch": 1.3389121338912133,
+      "grad_norm": 8.18316650390625,
+      "learning_rate": 4.650992990654206e-05,
+      "loss": 6.9556,
+      "step": 640
+    },
+    {
+      "epoch": 1.3598326359832635,
+      "grad_norm": 7.255918025970459,
+      "learning_rate": 4.6363901869158886e-05,
+      "loss": 6.9137,
+      "step": 650
+    },
+    {
+      "epoch": 1.3807531380753137,
+      "grad_norm": 8.160347938537598,
+      "learning_rate": 4.6217873831775705e-05,
+      "loss": 6.9551,
+      "step": 660
+    },
+    {
+      "epoch": 1.401673640167364,
+      "grad_norm": 7.006373405456543,
+      "learning_rate": 4.6071845794392524e-05,
+      "loss": 6.9114,
+      "step": 670
+    },
+    {
+      "epoch": 1.4225941422594142,
+      "grad_norm": 8.064070701599121,
+      "learning_rate": 4.592581775700935e-05,
+      "loss": 6.9034,
+      "step": 680
+    },
+    {
+      "epoch": 1.4435146443514644,
+      "grad_norm": 8.872171401977539,
+      "learning_rate": 4.577978971962617e-05,
+      "loss": 6.9638,
+      "step": 690
+    },
+    {
+      "epoch": 1.4644351464435146,
+      "grad_norm": 7.363138198852539,
+      "learning_rate": 4.5633761682242996e-05,
+      "loss": 6.8616,
+      "step": 700
+    },
+    {
+      "epoch": 1.4853556485355648,
+      "grad_norm": 7.530289649963379,
+      "learning_rate": 4.5487733644859815e-05,
+      "loss": 6.8221,
+      "step": 710
+    },
+    {
+      "epoch": 1.506276150627615,
+      "grad_norm": 6.406079292297363,
+      "learning_rate": 4.5341705607476634e-05,
+      "loss": 6.9144,
+      "step": 720
+    },
+    {
+      "epoch": 1.5271966527196654,
+      "grad_norm": 7.089895248413086,
+      "learning_rate": 4.519567757009346e-05,
+      "loss": 6.8353,
+      "step": 730
+    },
+    {
+      "epoch": 1.5481171548117154,
+      "grad_norm": 7.179967880249023,
+      "learning_rate": 4.504964953271028e-05,
+      "loss": 6.8086,
+      "step": 740
+    },
+    {
+      "epoch": 1.5690376569037658,
+      "grad_norm": 7.228494644165039,
+      "learning_rate": 4.4903621495327106e-05,
+      "loss": 6.8486,
+      "step": 750
+    },
+    {
+      "epoch": 1.5899581589958158,
+      "grad_norm": 7.923924922943115,
+      "learning_rate": 4.4757593457943925e-05,
+      "loss": 6.852,
+      "step": 760
+    },
+    {
+      "epoch": 1.6108786610878663,
+      "grad_norm": 6.542073726654053,
+      "learning_rate": 4.461156542056075e-05,
+      "loss": 6.7772,
+      "step": 770
+    },
+    {
+      "epoch": 1.6317991631799162,
+      "grad_norm": 7.912067413330078,
+      "learning_rate": 4.446553738317758e-05,
+      "loss": 6.7579,
+      "step": 780
+    },
+    {
+      "epoch": 1.6527196652719667,
+      "grad_norm": 7.274072647094727,
+      "learning_rate": 4.43195093457944e-05,
+      "loss": 6.792,
+      "step": 790
+    },
+    {
+      "epoch": 1.6736401673640167,
+      "grad_norm": 6.865484714508057,
+      "learning_rate": 4.4173481308411216e-05,
+      "loss": 6.7252,
+      "step": 800
+    },
+    {
+      "epoch": 1.694560669456067,
+      "grad_norm": 7.647111415863037,
+      "learning_rate": 4.402745327102804e-05,
+      "loss": 6.7781,
+      "step": 810
+    },
+    {
+      "epoch": 1.715481171548117,
+      "grad_norm": 7.3276472091674805,
+      "learning_rate": 4.388142523364486e-05,
+      "loss": 6.7377,
+      "step": 820
+    },
+    {
+      "epoch": 1.7364016736401675,
+      "grad_norm": 6.622502326965332,
+      "learning_rate": 4.373539719626169e-05,
+      "loss": 6.7379,
+      "step": 830
+    },
+    {
+      "epoch": 1.7573221757322175,
+      "grad_norm": 7.060279369354248,
+      "learning_rate": 4.358936915887851e-05,
+      "loss": 6.6772,
+      "step": 840
+    },
+    {
+      "epoch": 1.778242677824268,
+      "grad_norm": 6.371649265289307,
+      "learning_rate": 4.3443341121495326e-05,
+      "loss": 6.737,
+      "step": 850
+    },
+    {
+      "epoch": 1.799163179916318,
+      "grad_norm": 6.9483208656311035,
+      "learning_rate": 4.329731308411215e-05,
+      "loss": 6.6993,
+      "step": 860
+    },
+    {
+      "epoch": 1.8200836820083683,
+      "grad_norm": 7.357904434204102,
+      "learning_rate": 4.315128504672897e-05,
+      "loss": 6.5978,
+      "step": 870
+    },
+    {
+      "epoch": 1.8410041841004183,
+      "grad_norm": 6.23211145401001,
+      "learning_rate": 4.30052570093458e-05,
+      "loss": 6.672,
+      "step": 880
+    },
+    {
+      "epoch": 1.8619246861924688,
+      "grad_norm": 6.585605144500732,
+      "learning_rate": 4.285922897196262e-05,
+      "loss": 6.6937,
+      "step": 890
+    },
+    {
+      "epoch": 1.8828451882845187,
+      "grad_norm": 6.763492584228516,
+      "learning_rate": 4.2713200934579436e-05,
+      "loss": 6.6514,
+      "step": 900
+    },
+    {
+      "epoch": 1.9037656903765692,
+      "grad_norm": 7.7488932609558105,
+      "learning_rate": 4.256717289719626e-05,
+      "loss": 6.6361,
+      "step": 910
+    },
+    {
+      "epoch": 1.9246861924686192,
+      "grad_norm": 7.148327350616455,
+      "learning_rate": 4.242114485981308e-05,
+      "loss": 6.6667,
+      "step": 920
+    },
+    {
+      "epoch": 1.9456066945606696,
+      "grad_norm": 6.471075534820557,
+      "learning_rate": 4.227511682242991e-05,
+      "loss": 6.6593,
+      "step": 930
+    },
+    {
+      "epoch": 1.9665271966527196,
+      "grad_norm": 6.7469048500061035,
+      "learning_rate": 4.2129088785046734e-05,
+      "loss": 6.605,
+      "step": 940
+    },
+    {
+      "epoch": 1.98744769874477,
+      "grad_norm": 8.148894309997559,
+      "learning_rate": 4.198306074766355e-05,
+      "loss": 6.6451,
+      "step": 950
+    },
+    {
+      "epoch": 2.00836820083682,
+      "grad_norm": 7.104391574859619,
+      "learning_rate": 4.183703271028038e-05,
+      "loss": 6.4688,
+      "step": 960
+    },
+    {
+      "epoch": 2.0292887029288704,
+      "grad_norm": 7.012016773223877,
+      "learning_rate": 4.16910046728972e-05,
+      "loss": 6.25,
+      "step": 970
+    },
+    {
+      "epoch": 2.0502092050209204,
+      "grad_norm": 7.2709641456604,
+      "learning_rate": 4.154497663551402e-05,
+      "loss": 6.2587,
+      "step": 980
+    },
+    {
+      "epoch": 2.071129707112971,
+      "grad_norm": 7.433716297149658,
+      "learning_rate": 4.1398948598130844e-05,
+      "loss": 6.2431,
+      "step": 990
+    },
+    {
+      "epoch": 2.092050209205021,
+      "grad_norm": 6.091396808624268,
+      "learning_rate": 4.1252920560747664e-05,
+      "loss": 6.1624,
+      "step": 1000
+    },
+    {
+      "epoch": 2.1129707112970713,
+      "grad_norm": 5.893011093139648,
+      "learning_rate": 4.110689252336449e-05,
+      "loss": 6.2354,
+      "step": 1010
+    },
+    {
+      "epoch": 2.1338912133891212,
+      "grad_norm": 7.6410322189331055,
+      "learning_rate": 4.096086448598131e-05,
+      "loss": 6.2472,
+      "step": 1020
+    },
+    {
+      "epoch": 2.1548117154811717,
+      "grad_norm": 6.117848873138428,
+      "learning_rate": 4.081483644859813e-05,
+      "loss": 6.2394,
+      "step": 1030
+    },
+    {
+      "epoch": 2.1757322175732217,
+      "grad_norm": 6.71469783782959,
+      "learning_rate": 4.0668808411214954e-05,
+      "loss": 6.1807,
+      "step": 1040
+    },
+    {
+      "epoch": 2.196652719665272,
+      "grad_norm": 6.995176792144775,
+      "learning_rate": 4.0522780373831774e-05,
+      "loss": 6.2217,
+      "step": 1050
+    },
+    {
+      "epoch": 2.217573221757322,
+      "grad_norm": 6.745790481567383,
+      "learning_rate": 4.03767523364486e-05,
+      "loss": 6.2129,
+      "step": 1060
+    },
+    {
+      "epoch": 2.2384937238493725,
+      "grad_norm": 6.657952308654785,
+      "learning_rate": 4.023072429906542e-05,
+      "loss": 6.2246,
+      "step": 1070
+    },
+    {
+      "epoch": 2.2594142259414225,
+      "grad_norm": 6.063588619232178,
+      "learning_rate": 4.0084696261682245e-05,
+      "loss": 6.2326,
+      "step": 1080
+    },
+    {
+      "epoch": 2.280334728033473,
+      "grad_norm": 6.952447414398193,
+      "learning_rate": 3.993866822429907e-05,
+      "loss": 6.1872,
+      "step": 1090
+    },
+    {
+      "epoch": 2.301255230125523,
+      "grad_norm": 5.979004859924316,
+      "learning_rate": 3.979264018691589e-05,
+      "loss": 6.2449,
+      "step": 1100
+    },
+    {
+      "epoch": 2.3221757322175733,
+      "grad_norm": 6.522477626800537,
+      "learning_rate": 3.964661214953272e-05,
+      "loss": 6.2348,
+      "step": 1110
+    },
+    {
+      "epoch": 2.3430962343096233,
+      "grad_norm": 6.758068084716797,
+      "learning_rate": 3.9500584112149536e-05,
+      "loss": 6.1823,
+      "step": 1120
+    },
+    {
+      "epoch": 2.3640167364016738,
+      "grad_norm": 6.327610015869141,
+      "learning_rate": 3.9354556074766355e-05,
+      "loss": 6.2532,
+      "step": 1130
+    },
+    {
+      "epoch": 2.3849372384937237,
+      "grad_norm": 6.386441707611084,
+      "learning_rate": 3.920852803738318e-05,
+      "loss": 6.2021,
+      "step": 1140
+    },
+    {
+      "epoch": 2.405857740585774,
+      "grad_norm": 6.97573709487915,
+      "learning_rate": 3.90625e-05,
+      "loss": 6.1731,
+      "step": 1150
+    },
+    {
+      "epoch": 2.426778242677824,
+      "grad_norm": 6.362220287322998,
+      "learning_rate": 3.891647196261683e-05,
+      "loss": 6.1964,
+      "step": 1160
+    },
+    {
+      "epoch": 2.4476987447698746,
+      "grad_norm": 6.3254570960998535,
+      "learning_rate": 3.8770443925233646e-05,
+      "loss": 6.1608,
+      "step": 1170
+    },
+    {
+      "epoch": 2.4686192468619246,
+      "grad_norm": 6.198873996734619,
+      "learning_rate": 3.8624415887850466e-05,
+      "loss": 6.2224,
+      "step": 1180
+    },
+    {
+      "epoch": 2.489539748953975,
+      "grad_norm": 6.077391147613525,
+      "learning_rate": 3.847838785046729e-05,
+      "loss": 6.1763,
+      "step": 1190
+    },
+    {
+      "epoch": 2.510460251046025,
+      "grad_norm": 5.855481147766113,
+      "learning_rate": 3.833235981308411e-05,
+      "loss": 6.2059,
+      "step": 1200
+    },
+    {
+      "epoch": 2.5313807531380754,
+      "grad_norm": 6.103949546813965,
+      "learning_rate": 3.818633177570094e-05,
+      "loss": 6.1737,
+      "step": 1210
+    },
+    {
+      "epoch": 2.5523012552301254,
+      "grad_norm": 6.415419101715088,
+      "learning_rate": 3.8040303738317756e-05,
+      "loss": 6.1564,
+      "step": 1220
+    },
+    {
+      "epoch": 2.573221757322176,
+      "grad_norm": 7.077912330627441,
+      "learning_rate": 3.789427570093458e-05,
+      "loss": 6.1761,
+      "step": 1230
+    },
+    {
+      "epoch": 2.594142259414226,
+      "grad_norm": 6.930490493774414,
+      "learning_rate": 3.774824766355141e-05,
+      "loss": 6.1953,
+      "step": 1240
+    },
+    {
+      "epoch": 2.6150627615062763,
+      "grad_norm": 6.841230869293213,
+      "learning_rate": 3.760221962616823e-05,
+      "loss": 6.1756,
+      "step": 1250
+    },
+    {
+      "epoch": 2.6359832635983262,
+      "grad_norm": 7.52451229095459,
+      "learning_rate": 3.745619158878505e-05,
+      "loss": 6.1319,
+      "step": 1260
+    },
+    {
+      "epoch": 2.6569037656903767,
+      "grad_norm": 6.8930983543396,
+      "learning_rate": 3.731016355140187e-05,
+      "loss": 6.1371,
+      "step": 1270
+    },
+    {
+      "epoch": 2.6778242677824267,
+      "grad_norm": 6.321527481079102,
+      "learning_rate": 3.716413551401869e-05,
+      "loss": 6.1513,
+      "step": 1280
+    },
+    {
+      "epoch": 2.698744769874477,
+      "grad_norm": 5.808718681335449,
+      "learning_rate": 3.701810747663552e-05,
+      "loss": 6.1616,
+      "step": 1290
+    },
+    {
+      "epoch": 2.719665271966527,
+      "grad_norm": 5.840999126434326,
+      "learning_rate": 3.687207943925234e-05,
+      "loss": 6.1374,
+      "step": 1300
+    },
+    {
+      "epoch": 2.7405857740585775,
+      "grad_norm": 6.135018825531006,
+      "learning_rate": 3.672605140186916e-05,
+      "loss": 6.1664,
+      "step": 1310
+    },
+    {
+      "epoch": 2.7615062761506275,
+      "grad_norm": 5.817986011505127,
+      "learning_rate": 3.6580023364485984e-05,
+      "loss": 6.1526,
+      "step": 1320
+    },
+    {
+      "epoch": 2.782426778242678,
+      "grad_norm": 5.912154197692871,
+      "learning_rate": 3.64339953271028e-05,
+      "loss": 6.1267,
+      "step": 1330
+    },
+    {
+      "epoch": 2.803347280334728,
+      "grad_norm": 6.677772521972656,
+      "learning_rate": 3.628796728971963e-05,
+      "loss": 6.1594,
+      "step": 1340
+    },
+    {
+      "epoch": 2.8242677824267783,
+      "grad_norm": 5.715672969818115,
+      "learning_rate": 3.614193925233645e-05,
+      "loss": 6.1061,
+      "step": 1350
+    },
+    {
+      "epoch": 2.8451882845188283,
+      "grad_norm": 5.800394535064697,
+      "learning_rate": 3.599591121495327e-05,
+      "loss": 6.1243,
+      "step": 1360
+    },
+    {
+      "epoch": 2.8661087866108788,
+      "grad_norm": 6.575775623321533,
+      "learning_rate": 3.5849883177570094e-05,
+      "loss": 6.1525,
+      "step": 1370
+    },
+    {
+      "epoch": 2.8870292887029287,
+      "grad_norm": 6.729445457458496,
+      "learning_rate": 3.570385514018692e-05,
+      "loss": 6.1545,
+      "step": 1380
+    },
+    {
+      "epoch": 2.907949790794979,
+      "grad_norm": 5.717982769012451,
+      "learning_rate": 3.555782710280374e-05,
+      "loss": 6.0682,
+      "step": 1390
+    },
+    {
+      "epoch": 2.928870292887029,
+      "grad_norm": 6.721540927886963,
+      "learning_rate": 3.5411799065420565e-05,
+      "loss": 6.0828,
+      "step": 1400
+    },
+    {
+      "epoch": 2.9497907949790796,
+      "grad_norm": 4.733557224273682,
+      "learning_rate": 3.5265771028037385e-05,
+      "loss": 6.0791,
+      "step": 1410
+    },
+    {
+      "epoch": 2.9707112970711296,
+      "grad_norm": 5.717038631439209,
+      "learning_rate": 3.511974299065421e-05,
+      "loss": 6.1162,
+      "step": 1420
+    },
+    {
+      "epoch": 2.99163179916318,
+      "grad_norm": 6.3350749015808105,
+      "learning_rate": 3.497371495327103e-05,
+      "loss": 6.1613,
+      "step": 1430
+    },
+    {
+      "epoch": 3.01255230125523,
+      "grad_norm": 5.267285346984863,
+      "learning_rate": 3.4827686915887856e-05,
+      "loss": 5.9522,
+      "step": 1440
+    },
+    {
+      "epoch": 3.0334728033472804,
+      "grad_norm": 5.272197246551514,
+      "learning_rate": 3.4681658878504675e-05,
+      "loss": 5.8387,
+      "step": 1450
+    },
+    {
+      "epoch": 3.0543933054393304,
+      "grad_norm": 5.706630706787109,
+      "learning_rate": 3.4535630841121495e-05,
+      "loss": 5.7954,
+      "step": 1460
+    },
+    {
+      "epoch": 3.075313807531381,
+      "grad_norm": 4.603658676147461,
+      "learning_rate": 3.438960280373832e-05,
+      "loss": 5.8205,
+      "step": 1470
+    },
+    {
+      "epoch": 3.096234309623431,
+      "grad_norm": 5.040886402130127,
+      "learning_rate": 3.424357476635514e-05,
+      "loss": 5.8124,
+      "step": 1480
+    },
+    {
+      "epoch": 3.1171548117154813,
+      "grad_norm": 5.242745876312256,
+      "learning_rate": 3.4097546728971966e-05,
+      "loss": 5.7672,
+      "step": 1490
+    },
+    {
+      "epoch": 3.1380753138075312,
+      "grad_norm": 4.996242046356201,
+      "learning_rate": 3.3951518691588786e-05,
+      "loss": 5.8621,
+      "step": 1500
+    },
+    {
+      "epoch": 3.1589958158995817,
+      "grad_norm": 4.772254943847656,
+      "learning_rate": 3.3805490654205605e-05,
+      "loss": 5.7801,
+      "step": 1510
+    },
+    {
+      "epoch": 3.1799163179916317,
+      "grad_norm": 4.298367023468018,
+      "learning_rate": 3.365946261682243e-05,
+      "loss": 5.816,
+      "step": 1520
+    },
+    {
+      "epoch": 3.200836820083682,
+      "grad_norm": 4.564356327056885,
+      "learning_rate": 3.351343457943925e-05,
+      "loss": 5.8222,
+      "step": 1530
+    },
+    {
+      "epoch": 3.221757322175732,
+      "grad_norm": 5.478094577789307,
+      "learning_rate": 3.3367406542056076e-05,
+      "loss": 5.8517,
+      "step": 1540
+    },
+    {
+      "epoch": 3.2426778242677825,
+      "grad_norm": 5.010961055755615,
+      "learning_rate": 3.32213785046729e-05,
+      "loss": 5.7739,
+      "step": 1550
+    },
+    {
+      "epoch": 3.2635983263598325,
+      "grad_norm": 6.255635738372803,
+      "learning_rate": 3.307535046728972e-05,
+      "loss": 5.7966,
+      "step": 1560
+    },
+    {
+      "epoch": 3.284518828451883,
+      "grad_norm": 5.523530006408691,
+      "learning_rate": 3.292932242990655e-05,
+      "loss": 5.8212,
+      "step": 1570
+    },
+    {
+      "epoch": 3.305439330543933,
+      "grad_norm": 5.291126251220703,
+      "learning_rate": 3.278329439252337e-05,
+      "loss": 5.7978,
+      "step": 1580
+    },
+    {
+      "epoch": 3.3263598326359833,
+      "grad_norm": 5.207418441772461,
+      "learning_rate": 3.2637266355140187e-05,
+      "loss": 5.7898,
+      "step": 1590
+    },
+    {
+      "epoch": 3.3472803347280333,
+      "grad_norm": 6.096604347229004,
+      "learning_rate": 3.249123831775701e-05,
+      "loss": 5.8281,
+      "step": 1600
+    },
+    {
+      "epoch": 3.3682008368200838,
+      "grad_norm": 5.792671203613281,
+      "learning_rate": 3.234521028037383e-05,
+      "loss": 5.8178,
+      "step": 1610
+    },
+    {
+      "epoch": 3.3891213389121337,
+      "grad_norm": 5.46074914932251,
+      "learning_rate": 3.219918224299066e-05,
+      "loss": 5.795,
+      "step": 1620
+    },
+    {
+      "epoch": 3.410041841004184,
+      "grad_norm": 5.38659143447876,
+      "learning_rate": 3.205315420560748e-05,
+      "loss": 5.8274,
+      "step": 1630
+    },
+    {
+      "epoch": 3.430962343096234,
+      "grad_norm": 4.891820430755615,
+      "learning_rate": 3.19071261682243e-05,
+      "loss": 5.7913,
+      "step": 1640
+    },
+    {
+      "epoch": 3.4518828451882846,
+      "grad_norm": 5.1778340339660645,
+      "learning_rate": 3.176109813084112e-05,
+      "loss": 5.7899,
+      "step": 1650
+    },
+    {
+      "epoch": 3.4728033472803346,
+      "grad_norm": 5.588263511657715,
+      "learning_rate": 3.161507009345794e-05,
+      "loss": 5.8256,
+      "step": 1660
+    },
+    {
+      "epoch": 3.493723849372385,
+      "grad_norm": 4.890290260314941,
+      "learning_rate": 3.146904205607477e-05,
+      "loss": 5.7687,
+      "step": 1670
+    },
+    {
+      "epoch": 3.514644351464435,
+      "grad_norm": 5.809788703918457,
+      "learning_rate": 3.132301401869159e-05,
+      "loss": 5.8031,
+      "step": 1680
+    },
+    {
+      "epoch": 3.5355648535564854,
+      "grad_norm": 5.841116428375244,
+      "learning_rate": 3.1176985981308414e-05,
+      "loss": 5.8229,
+      "step": 1690
+    },
+    {
+      "epoch": 3.5564853556485354,
+      "grad_norm": 5.334028244018555,
+      "learning_rate": 3.103095794392524e-05,
+      "loss": 5.8391,
+      "step": 1700
+    },
+    {
+      "epoch": 3.577405857740586,
+      "grad_norm": 5.291631698608398,
+      "learning_rate": 3.088492990654206e-05,
+      "loss": 5.7926,
+      "step": 1710
+    },
+    {
+      "epoch": 3.598326359832636,
+      "grad_norm": 5.6616997718811035,
+      "learning_rate": 3.073890186915888e-05,
+      "loss": 5.7975,
+      "step": 1720
+    },
+    {
+      "epoch": 3.6192468619246863,
+      "grad_norm": 5.7631964683532715,
+      "learning_rate": 3.0592873831775705e-05,
+      "loss": 5.8042,
+      "step": 1730
+    },
+    {
+      "epoch": 3.6401673640167362,
+      "grad_norm": 4.754581451416016,
+      "learning_rate": 3.0446845794392527e-05,
+      "loss": 5.7831,
+      "step": 1740
+    },
+    {
+      "epoch": 3.6610878661087867,
+      "grad_norm": 6.7304887771606445,
+      "learning_rate": 3.0300817757009347e-05,
+      "loss": 5.7739,
+      "step": 1750
+    },
+    {
+      "epoch": 3.6820083682008367,
+      "grad_norm": 6.9664082527160645,
+      "learning_rate": 3.015478971962617e-05,
+      "loss": 5.8081,
+      "step": 1760
+    },
+    {
+      "epoch": 3.702928870292887,
+      "grad_norm": 5.753360748291016,
+      "learning_rate": 3.0008761682242992e-05,
+      "loss": 5.8073,
+      "step": 1770
+    },
+    {
+      "epoch": 3.723849372384937,
+      "grad_norm": 4.919591903686523,
+      "learning_rate": 2.9862733644859815e-05,
+      "loss": 5.7945,
+      "step": 1780
+    },
+    {
+      "epoch": 3.7447698744769875,
+      "grad_norm": 5.293645858764648,
+      "learning_rate": 2.9716705607476637e-05,
+      "loss": 5.7561,
+      "step": 1790
+    },
+    {
+      "epoch": 3.7656903765690375,
+      "grad_norm": 5.434943675994873,
+      "learning_rate": 2.9570677570093457e-05,
+      "loss": 5.7345,
+      "step": 1800
+    },
+    {
+      "epoch": 3.786610878661088,
+      "grad_norm": 6.738378524780273,
+      "learning_rate": 2.942464953271028e-05,
+      "loss": 5.7717,
+      "step": 1810
+    },
+    {
+      "epoch": 3.8075313807531384,
+      "grad_norm": 4.612103462219238,
+      "learning_rate": 2.9278621495327102e-05,
+      "loss": 5.8105,
+      "step": 1820
+    },
+    {
+      "epoch": 3.8284518828451883,
+      "grad_norm": 5.595986843109131,
+      "learning_rate": 2.9132593457943925e-05,
+      "loss": 5.7609,
+      "step": 1830
+    },
+    {
+      "epoch": 3.8493723849372383,
+      "grad_norm": 5.030132293701172,
+      "learning_rate": 2.898656542056075e-05,
+      "loss": 5.7854,
+      "step": 1840
+    },
+    {
+      "epoch": 3.8702928870292888,
+      "grad_norm": 5.898778915405273,
+      "learning_rate": 2.8840537383177574e-05,
+      "loss": 5.7913,
+      "step": 1850
+    },
+    {
+      "epoch": 3.891213389121339,
+      "grad_norm": 5.27553129196167,
+      "learning_rate": 2.8694509345794396e-05,
+      "loss": 5.767,
+      "step": 1860
+    },
+    {
+      "epoch": 3.912133891213389,
+      "grad_norm": 5.880008697509766,
+      "learning_rate": 2.854848130841122e-05,
+      "loss": 5.7837,
+      "step": 1870
+    },
+    {
+      "epoch": 3.933054393305439,
+      "grad_norm": 5.255915641784668,
+      "learning_rate": 2.840245327102804e-05,
+      "loss": 5.8109,
+      "step": 1880
+    },
+    {
+      "epoch": 3.9539748953974896,
+      "grad_norm": 4.918103218078613,
+      "learning_rate": 2.825642523364486e-05,
+      "loss": 5.7973,
+      "step": 1890
+    },
+    {
+      "epoch": 3.97489539748954,
+      "grad_norm": 5.274151802062988,
+      "learning_rate": 2.8110397196261684e-05,
+      "loss": 5.7539,
+      "step": 1900
+    },
+    {
+      "epoch": 3.99581589958159,
+      "grad_norm": 4.758122444152832,
+      "learning_rate": 2.7964369158878507e-05,
+      "loss": 5.7861,
+      "step": 1910
+    },
+    {
+      "epoch": 4.01673640167364,
+      "grad_norm": 4.119150161743164,
+      "learning_rate": 2.781834112149533e-05,
+      "loss": 5.6516,
+      "step": 1920
+    },
+    {
+      "epoch": 4.03765690376569,
+      "grad_norm": 5.508482456207275,
+      "learning_rate": 2.767231308411215e-05,
+      "loss": 5.5955,
+      "step": 1930
+    },
+    {
+      "epoch": 4.058577405857741,
+      "grad_norm": 4.947022914886475,
+      "learning_rate": 2.752628504672897e-05,
+      "loss": 5.6185,
+      "step": 1940
+    },
+    {
+      "epoch": 4.079497907949791,
+      "grad_norm": 4.492798328399658,
+      "learning_rate": 2.7380257009345794e-05,
+      "loss": 5.5724,
+      "step": 1950
+    },
+    {
+      "epoch": 4.100418410041841,
+      "grad_norm": 4.8855695724487305,
+      "learning_rate": 2.7234228971962617e-05,
+      "loss": 5.5846,
+      "step": 1960
+    },
+    {
+      "epoch": 4.121338912133891,
+      "grad_norm": 4.490469932556152,
+      "learning_rate": 2.708820093457944e-05,
+      "loss": 5.5799,
+      "step": 1970
+    },
+    {
+      "epoch": 4.142259414225942,
+      "grad_norm": 4.962728977203369,
+      "learning_rate": 2.6942172897196262e-05,
+      "loss": 5.5537,
+      "step": 1980
+    },
+    {
+      "epoch": 4.163179916317992,
+      "grad_norm": 4.632351398468018,
+      "learning_rate": 2.679614485981308e-05,
+      "loss": 5.5802,
+      "step": 1990
+    },
+    {
+      "epoch": 4.184100418410042,
+      "grad_norm": 4.545164585113525,
+      "learning_rate": 2.665011682242991e-05,
+      "loss": 5.5682,
+      "step": 2000
+    },
+    {
+      "epoch": 4.205020920502092,
+      "grad_norm": 4.569462776184082,
+      "learning_rate": 2.6504088785046734e-05,
+      "loss": 5.5804,
+      "step": 2010
+    },
+    {
+      "epoch": 4.2259414225941425,
+      "grad_norm": 4.675363540649414,
+      "learning_rate": 2.6358060747663553e-05,
+      "loss": 5.5602,
+      "step": 2020
+    },
+    {
+      "epoch": 4.2468619246861925,
+      "grad_norm": 4.587751865386963,
+      "learning_rate": 2.6212032710280376e-05,
+      "loss": 5.5693,
+      "step": 2030
+    },
+    {
+      "epoch": 4.2677824267782425,
+      "grad_norm": 4.584193706512451,
+      "learning_rate": 2.60660046728972e-05,
+      "loss": 5.5592,
+      "step": 2040
+    },
+    {
+      "epoch": 4.2887029288702925,
+      "grad_norm": 4.563549995422363,
+      "learning_rate": 2.591997663551402e-05,
+      "loss": 5.5985,
+      "step": 2050
+    },
+    {
+      "epoch": 4.309623430962343,
+      "grad_norm": 5.494087219238281,
+      "learning_rate": 2.5773948598130844e-05,
+      "loss": 5.5519,
+      "step": 2060
+    },
+    {
+      "epoch": 4.330543933054393,
+      "grad_norm": 4.778312683105469,
+      "learning_rate": 2.5627920560747663e-05,
+      "loss": 5.528,
+      "step": 2070
+    },
+    {
+      "epoch": 4.351464435146443,
+      "grad_norm": 4.691561222076416,
+      "learning_rate": 2.5481892523364486e-05,
+      "loss": 5.608,
+      "step": 2080
+    },
+    {
+      "epoch": 4.372384937238493,
+      "grad_norm": 5.41495418548584,
+      "learning_rate": 2.533586448598131e-05,
+      "loss": 5.5799,
+      "step": 2090
+    },
+    {
+      "epoch": 4.393305439330544,
+      "grad_norm": 4.823550701141357,
+      "learning_rate": 2.518983644859813e-05,
+      "loss": 5.6088,
+      "step": 2100
+    },
+    {
+      "epoch": 4.414225941422594,
+      "grad_norm": 4.856595039367676,
+      "learning_rate": 2.5043808411214954e-05,
+      "loss": 5.553,
+      "step": 2110
+    },
+    {
+      "epoch": 4.435146443514644,
+      "grad_norm": 5.082206726074219,
+      "learning_rate": 2.4897780373831777e-05,
+      "loss": 5.5966,
+      "step": 2120
+    },
+    {
+      "epoch": 4.456066945606695,
+      "grad_norm": 5.180952072143555,
+      "learning_rate": 2.47517523364486e-05,
+      "loss": 5.5996,
+      "step": 2130
+    },
+    {
+      "epoch": 4.476987447698745,
+      "grad_norm": 4.806488513946533,
+      "learning_rate": 2.4605724299065422e-05,
+      "loss": 5.5855,
+      "step": 2140
+    },
+    {
+      "epoch": 4.497907949790795,
+      "grad_norm": 4.399123191833496,
+      "learning_rate": 2.4459696261682245e-05,
+      "loss": 5.5542,
+      "step": 2150
+    },
+    {
+      "epoch": 4.518828451882845,
+      "grad_norm": 5.287519931793213,
+      "learning_rate": 2.4313668224299068e-05,
+      "loss": 5.5664,
+      "step": 2160
+    },
+    {
+      "epoch": 4.539748953974895,
+      "grad_norm": 5.102400302886963,
+      "learning_rate": 2.4167640186915887e-05,
+      "loss": 5.5246,
+      "step": 2170
+    },
+    {
+      "epoch": 4.560669456066946,
+      "grad_norm": 4.733987331390381,
+      "learning_rate": 2.402161214953271e-05,
+      "loss": 5.5828,
+      "step": 2180
+    },
+    {
+      "epoch": 4.581589958158996,
+      "grad_norm": 4.772219657897949,
+      "learning_rate": 2.3875584112149536e-05,
+      "loss": 5.5427,
+      "step": 2190
+    },
+    {
+      "epoch": 4.602510460251046,
+      "grad_norm": 5.13002347946167,
+      "learning_rate": 2.372955607476636e-05,
+      "loss": 5.5812,
+      "step": 2200
+    },
+    {
+      "epoch": 4.623430962343097,
+      "grad_norm": 4.861030578613281,
+      "learning_rate": 2.3583528037383178e-05,
+      "loss": 5.5168,
+      "step": 2210
+    },
+    {
+      "epoch": 4.644351464435147,
+      "grad_norm": 4.335892200469971,
+      "learning_rate": 2.34375e-05,
+      "loss": 5.5225,
+      "step": 2220
+    },
+    {
+      "epoch": 4.665271966527197,
+      "grad_norm": 4.631258010864258,
+      "learning_rate": 2.3291471962616823e-05,
+      "loss": 5.5719,
+      "step": 2230
+    },
+    {
+      "epoch": 4.686192468619247,
+      "grad_norm": 4.577663898468018,
+      "learning_rate": 2.3145443925233646e-05,
+      "loss": 5.5244,
+      "step": 2240
+    },
+    {
+      "epoch": 4.707112970711297,
+      "grad_norm": 5.098531723022461,
+      "learning_rate": 2.299941588785047e-05,
+      "loss": 5.5396,
+      "step": 2250
+    },
+    {
+      "epoch": 4.7280334728033475,
+      "grad_norm": 4.742924690246582,
+      "learning_rate": 2.285338785046729e-05,
+      "loss": 5.5612,
+      "step": 2260
+    },
+    {
+      "epoch": 4.7489539748953975,
+      "grad_norm": 4.887773036956787,
+      "learning_rate": 2.2707359813084114e-05,
+      "loss": 5.5807,
+      "step": 2270
+    },
+    {
+      "epoch": 4.7698744769874475,
+      "grad_norm": 5.311403274536133,
+      "learning_rate": 2.2561331775700937e-05,
+      "loss": 5.5715,
+      "step": 2280
+    },
+    {
+      "epoch": 4.790794979079498,
+      "grad_norm": 4.41756534576416,
+      "learning_rate": 2.241530373831776e-05,
+      "loss": 5.5645,
+      "step": 2290
+    },
+    {
+      "epoch": 4.811715481171548,
+      "grad_norm": 5.780274868011475,
+      "learning_rate": 2.226927570093458e-05,
+      "loss": 5.5878,
+      "step": 2300
+    },
+    {
+      "epoch": 4.832635983263598,
+      "grad_norm": 4.756994247436523,
+      "learning_rate": 2.21232476635514e-05,
+      "loss": 5.5706,
+      "step": 2310
+    },
+    {
+      "epoch": 4.853556485355648,
+      "grad_norm": 4.693044185638428,
+      "learning_rate": 2.1977219626168224e-05,
+      "loss": 5.5582,
+      "step": 2320
+    },
+    {
+      "epoch": 4.874476987447698,
+      "grad_norm": 4.866166591644287,
+      "learning_rate": 2.1831191588785047e-05,
+      "loss": 5.5598,
+      "step": 2330
+    },
+    {
+      "epoch": 4.895397489539749,
+      "grad_norm": 5.382452011108398,
+      "learning_rate": 2.1685163551401873e-05,
+      "loss": 5.5402,
+      "step": 2340
+    },
+    {
+      "epoch": 4.916317991631799,
+      "grad_norm": 4.551178455352783,
+      "learning_rate": 2.1539135514018692e-05,
+      "loss": 5.5733,
+      "step": 2350
+    },
+    {
+      "epoch": 4.937238493723849,
+      "grad_norm": 5.513873100280762,
+      "learning_rate": 2.1393107476635515e-05,
+      "loss": 5.5659,
+      "step": 2360
+    },
+    {
+      "epoch": 4.9581589958159,
+      "grad_norm": 4.788096904754639,
+      "learning_rate": 2.1247079439252338e-05,
+      "loss": 5.5579,
+      "step": 2370
+    },
+    {
+      "epoch": 4.97907949790795,
+      "grad_norm": 5.45959997177124,
+      "learning_rate": 2.110105140186916e-05,
+      "loss": 5.5479,
+      "step": 2380
+    },
+    {
+      "epoch": 5.0,
+      "grad_norm": 4.460362911224365,
+      "learning_rate": 2.0955023364485983e-05,
+      "loss": 5.5359,
+      "step": 2390
+    },
+    {
+      "epoch": 5.02092050209205,
+      "grad_norm": 4.2076592445373535,
+      "learning_rate": 2.0808995327102803e-05,
+      "loss": 5.393,
+      "step": 2400
+    },
+    {
+      "epoch": 5.0418410041841,
+      "grad_norm": 5.154625415802002,
+      "learning_rate": 2.0662967289719625e-05,
+      "loss": 5.4034,
+      "step": 2410
+    },
+    {
+      "epoch": 5.062761506276151,
+      "grad_norm": 4.607546806335449,
+      "learning_rate": 2.051693925233645e-05,
+      "loss": 5.4052,
+      "step": 2420
+    },
+    {
+      "epoch": 5.083682008368201,
+      "grad_norm": 4.8969316482543945,
+      "learning_rate": 2.0370911214953274e-05,
+      "loss": 5.4045,
+      "step": 2430
+    },
+    {
+      "epoch": 5.104602510460251,
+      "grad_norm": 4.611139297485352,
+      "learning_rate": 2.0224883177570093e-05,
+      "loss": 5.4025,
+      "step": 2440
+    },
+    {
+      "epoch": 5.125523012552302,
+      "grad_norm": 4.330108642578125,
+      "learning_rate": 2.0078855140186916e-05,
+      "loss": 5.3758,
+      "step": 2450
+    },
+    {
+      "epoch": 5.146443514644352,
+      "grad_norm": 4.173985004425049,
+      "learning_rate": 1.993282710280374e-05,
+      "loss": 5.4351,
+      "step": 2460
+    },
+    {
+      "epoch": 5.167364016736402,
+      "grad_norm": 4.152027606964111,
+      "learning_rate": 1.978679906542056e-05,
+      "loss": 5.4315,
+      "step": 2470
+    },
+    {
+      "epoch": 5.188284518828452,
+      "grad_norm": 5.017761707305908,
+      "learning_rate": 1.9640771028037384e-05,
+      "loss": 5.4015,
+      "step": 2480
+    },
+    {
+      "epoch": 5.209205020920502,
+      "grad_norm": 4.6566643714904785,
+      "learning_rate": 1.9494742990654207e-05,
+      "loss": 5.4487,
+      "step": 2490
+    },
+    {
+      "epoch": 5.2301255230125525,
+      "grad_norm": 4.430664539337158,
+      "learning_rate": 1.934871495327103e-05,
+      "loss": 5.4582,
+      "step": 2500
+    },
+    {
+      "epoch": 5.2510460251046025,
+      "grad_norm": 4.494618892669678,
+      "learning_rate": 1.9202686915887852e-05,
+      "loss": 5.453,
+      "step": 2510
+    },
+    {
+      "epoch": 5.2719665271966525,
+      "grad_norm": 4.5483832359313965,
+      "learning_rate": 1.9056658878504675e-05,
+      "loss": 5.4303,
+      "step": 2520
+    },
+    {
+      "epoch": 5.292887029288703,
+      "grad_norm": 4.876987934112549,
+      "learning_rate": 1.8910630841121494e-05,
+      "loss": 5.4322,
+      "step": 2530
+    },
+    {
+      "epoch": 5.313807531380753,
+      "grad_norm": 4.776066303253174,
+      "learning_rate": 1.8764602803738317e-05,
+      "loss": 5.4105,
+      "step": 2540
+    },
+    {
+      "epoch": 5.334728033472803,
+      "grad_norm": 4.958277225494385,
+      "learning_rate": 1.861857476635514e-05,
+      "loss": 5.3658,
+      "step": 2550
+    },
+    {
+      "epoch": 5.355648535564853,
+      "grad_norm": 4.768832206726074,
+      "learning_rate": 1.8472546728971963e-05,
+      "loss": 5.417,
+      "step": 2560
+    },
+    {
+      "epoch": 5.376569037656903,
+      "grad_norm": 4.271088600158691,
+      "learning_rate": 1.832651869158879e-05,
+      "loss": 5.4015,
+      "step": 2570
+    },
+    {
+      "epoch": 5.397489539748954,
+      "grad_norm": 5.521544456481934,
+      "learning_rate": 1.8180490654205608e-05,
+      "loss": 5.3982,
+      "step": 2580
+    },
+    {
+      "epoch": 5.418410041841004,
+      "grad_norm": 4.810739040374756,
+      "learning_rate": 1.803446261682243e-05,
+      "loss": 5.4013,
+      "step": 2590
+    },
+    {
+      "epoch": 5.439330543933054,
+      "grad_norm": 4.353354454040527,
+      "learning_rate": 1.7888434579439253e-05,
+      "loss": 5.4112,
+      "step": 2600
+    },
+    {
+      "epoch": 5.460251046025105,
+      "grad_norm": 4.496838569641113,
+      "learning_rate": 1.7742406542056076e-05,
+      "loss": 5.4245,
+      "step": 2610
+    },
+    {
+      "epoch": 5.481171548117155,
+      "grad_norm": 4.632349014282227,
+      "learning_rate": 1.75963785046729e-05,
+      "loss": 5.3941,
+      "step": 2620
+    },
+    {
+      "epoch": 5.502092050209205,
+      "grad_norm": 4.464936256408691,
+      "learning_rate": 1.7450350467289718e-05,
+      "loss": 5.4315,
+      "step": 2630
+    },
+    {
+      "epoch": 5.523012552301255,
+      "grad_norm": 5.022765159606934,
+      "learning_rate": 1.730432242990654e-05,
+      "loss": 5.4,
+      "step": 2640
+    },
+    {
+      "epoch": 5.543933054393305,
+      "grad_norm": 4.089568614959717,
+      "learning_rate": 1.7158294392523367e-05,
+      "loss": 5.4026,
+      "step": 2650
+    },
+    {
+      "epoch": 5.564853556485356,
+      "grad_norm": 4.395118713378906,
+      "learning_rate": 1.701226635514019e-05,
+      "loss": 5.3902,
+      "step": 2660
+    },
+    {
+      "epoch": 5.585774058577406,
+      "grad_norm": 4.480564117431641,
+      "learning_rate": 1.686623831775701e-05,
+      "loss": 5.4363,
+      "step": 2670
+    },
+    {
+      "epoch": 5.606694560669456,
+      "grad_norm": 4.185891628265381,
+      "learning_rate": 1.672021028037383e-05,
+      "loss": 5.4802,
+      "step": 2680
+    },
+    {
+      "epoch": 5.627615062761507,
+      "grad_norm": 4.2380781173706055,
+      "learning_rate": 1.6574182242990654e-05,
+      "loss": 5.4399,
+      "step": 2690
+    },
+    {
+      "epoch": 5.648535564853557,
+      "grad_norm": 4.757248878479004,
+      "learning_rate": 1.6428154205607477e-05,
+      "loss": 5.3782,
+      "step": 2700
+    },
+    {
+      "epoch": 5.669456066945607,
+      "grad_norm": 4.615571022033691,
+      "learning_rate": 1.62821261682243e-05,
+      "loss": 5.4154,
+      "step": 2710
+    },
+    {
+      "epoch": 5.690376569037657,
+      "grad_norm": 4.125430107116699,
+      "learning_rate": 1.6136098130841123e-05,
+      "loss": 5.398,
+      "step": 2720
+    },
+    {
+      "epoch": 5.711297071129707,
+      "grad_norm": 4.771024227142334,
+      "learning_rate": 1.5990070093457945e-05,
+      "loss": 5.4251,
+      "step": 2730
+    },
+    {
+      "epoch": 5.7322175732217575,
+      "grad_norm": 4.4113664627075195,
+      "learning_rate": 1.5844042056074768e-05,
+      "loss": 5.4073,
+      "step": 2740
+    },
+    {
+      "epoch": 5.7531380753138075,
+      "grad_norm": 4.691117286682129,
+      "learning_rate": 1.569801401869159e-05,
+      "loss": 5.3625,
+      "step": 2750
+    },
+    {
+      "epoch": 5.7740585774058575,
+      "grad_norm": 4.399471282958984,
+      "learning_rate": 1.5551985981308413e-05,
+      "loss": 5.4223,
+      "step": 2760
+    },
+    {
+      "epoch": 5.794979079497908,
+      "grad_norm": 4.342303276062012,
+      "learning_rate": 1.5405957943925233e-05,
+      "loss": 5.4336,
+      "step": 2770
+    },
+    {
+      "epoch": 5.815899581589958,
+      "grad_norm": 4.583115577697754,
+      "learning_rate": 1.5259929906542055e-05,
+      "loss": 5.4044,
+      "step": 2780
+    },
+    {
+      "epoch": 5.836820083682008,
+      "grad_norm": 4.574479579925537,
+      "learning_rate": 1.5113901869158878e-05,
+      "loss": 5.3913,
+      "step": 2790
+    },
+    {
+      "epoch": 5.857740585774058,
+      "grad_norm": 4.470442295074463,
+      "learning_rate": 1.4967873831775703e-05,
+      "loss": 5.401,
+      "step": 2800
+    },
+    {
+      "epoch": 5.878661087866108,
+      "grad_norm": 5.023131847381592,
+      "learning_rate": 1.4821845794392525e-05,
+      "loss": 5.3922,
+      "step": 2810
+    },
+    {
+      "epoch": 5.899581589958159,
+      "grad_norm": 4.9364824295043945,
+      "learning_rate": 1.4675817757009346e-05,
+      "loss": 5.4227,
+      "step": 2820
+    },
+    {
+      "epoch": 5.920502092050209,
+      "grad_norm": 4.783654689788818,
+      "learning_rate": 1.4529789719626169e-05,
+      "loss": 5.388,
+      "step": 2830
+    },
+    {
+      "epoch": 5.941422594142259,
+      "grad_norm": 4.577333450317383,
+      "learning_rate": 1.4383761682242992e-05,
+      "loss": 5.4557,
+      "step": 2840
+    },
+    {
+      "epoch": 5.96234309623431,
+      "grad_norm": 5.692765235900879,
+      "learning_rate": 1.4237733644859813e-05,
+      "loss": 5.4204,
+      "step": 2850
+    },
+    {
+      "epoch": 5.98326359832636,
+      "grad_norm": 4.250858306884766,
+      "learning_rate": 1.4091705607476635e-05,
+      "loss": 5.3882,
+      "step": 2860
+    },
+    {
+      "epoch": 6.00418410041841,
+      "grad_norm": 3.9449563026428223,
+      "learning_rate": 1.394567757009346e-05,
+      "loss": 5.3856,
+      "step": 2870
+    },
+    {
+      "epoch": 6.02510460251046,
+      "grad_norm": 4.342050552368164,
+      "learning_rate": 1.3799649532710283e-05,
+      "loss": 5.3484,
+      "step": 2880
+    },
+    {
+      "epoch": 6.046025104602511,
+      "grad_norm": 4.476908206939697,
+      "learning_rate": 1.3653621495327104e-05,
+      "loss": 5.319,
+      "step": 2890
+    },
+    {
+      "epoch": 6.066945606694561,
+      "grad_norm": 4.24432897567749,
+      "learning_rate": 1.3507593457943926e-05,
+      "loss": 5.3257,
+      "step": 2900
+    },
+    {
+      "epoch": 6.087866108786611,
+      "grad_norm": 4.31618595123291,
+      "learning_rate": 1.3361565420560749e-05,
+      "loss": 5.322,
+      "step": 2910
+    },
+    {
+      "epoch": 6.108786610878661,
+      "grad_norm": 4.380491733551025,
+      "learning_rate": 1.321553738317757e-05,
+      "loss": 5.2856,
+      "step": 2920
+    },
+    {
+      "epoch": 6.129707112970712,
+      "grad_norm": 4.4902567863464355,
+      "learning_rate": 1.3069509345794393e-05,
+      "loss": 5.3467,
+      "step": 2930
+    },
+    {
+      "epoch": 6.150627615062762,
+      "grad_norm": 3.720334768295288,
+      "learning_rate": 1.2923481308411214e-05,
+      "loss": 5.3036,
+      "step": 2940
+    },
+    {
+      "epoch": 6.171548117154812,
+      "grad_norm": 4.389863967895508,
+      "learning_rate": 1.277745327102804e-05,
+      "loss": 5.267,
+      "step": 2950
+    },
+    {
+      "epoch": 6.192468619246862,
+      "grad_norm": 3.921224355697632,
+      "learning_rate": 1.263142523364486e-05,
+      "loss": 5.3202,
+      "step": 2960
+    },
+    {
+      "epoch": 6.2133891213389125,
+      "grad_norm": 4.181203842163086,
+      "learning_rate": 1.2485397196261684e-05,
+      "loss": 5.3051,
+      "step": 2970
+    },
+    {
+      "epoch": 6.2343096234309625,
+      "grad_norm": 3.9604923725128174,
+      "learning_rate": 1.2339369158878506e-05,
+      "loss": 5.3289,
+      "step": 2980
+    },
+    {
+      "epoch": 6.2552301255230125,
+      "grad_norm": 4.156136512756348,
+      "learning_rate": 1.2193341121495327e-05,
+      "loss": 5.2953,
+      "step": 2990
+    },
+    {
+      "epoch": 6.2761506276150625,
+      "grad_norm": 4.175608158111572,
+      "learning_rate": 1.204731308411215e-05,
+      "loss": 5.3203,
+      "step": 3000
+    },
+    {
+      "epoch": 6.297071129707113,
+      "grad_norm": 4.1036696434021,
+      "learning_rate": 1.1901285046728973e-05,
+      "loss": 5.3116,
+      "step": 3010
+    },
+    {
+      "epoch": 6.317991631799163,
+      "grad_norm": 4.54881477355957,
+      "learning_rate": 1.1755257009345795e-05,
+      "loss": 5.2957,
+      "step": 3020
+    },
+    {
+      "epoch": 6.338912133891213,
+      "grad_norm": 4.8235955238342285,
+      "learning_rate": 1.1609228971962616e-05,
+      "loss": 5.3388,
+      "step": 3030
+    },
+    {
+      "epoch": 6.359832635983263,
+      "grad_norm": 4.378243446350098,
+      "learning_rate": 1.1463200934579439e-05,
+      "loss": 5.3191,
+      "step": 3040
+    },
+    {
+      "epoch": 6.380753138075314,
+      "grad_norm": 4.352092742919922,
+      "learning_rate": 1.1317172897196262e-05,
+      "loss": 5.338,
+      "step": 3050
+    },
+    {
+      "epoch": 6.401673640167364,
+      "grad_norm": 4.318615436553955,
+      "learning_rate": 1.1171144859813085e-05,
+      "loss": 5.3555,
+      "step": 3060
+    },
+    {
+      "epoch": 6.422594142259414,
+      "grad_norm": 4.34386682510376,
+      "learning_rate": 1.1025116822429907e-05,
+      "loss": 5.3297,
+      "step": 3070
+    },
+    {
+      "epoch": 6.443514644351464,
+      "grad_norm": 4.626368045806885,
+      "learning_rate": 1.087908878504673e-05,
+      "loss": 5.3231,
+      "step": 3080
+    },
+    {
+      "epoch": 6.464435146443515,
+      "grad_norm": 5.051966667175293,
+      "learning_rate": 1.0733060747663553e-05,
+      "loss": 5.2995,
+      "step": 3090
+    },
+    {
+      "epoch": 6.485355648535565,
+      "grad_norm": 4.084916591644287,
+      "learning_rate": 1.0587032710280374e-05,
+      "loss": 5.3096,
+      "step": 3100
+    },
+    {
+      "epoch": 6.506276150627615,
+      "grad_norm": 4.627449989318848,
+      "learning_rate": 1.0441004672897196e-05,
+      "loss": 5.3051,
+      "step": 3110
+    },
+    {
+      "epoch": 6.527196652719665,
+      "grad_norm": 4.023199081420898,
+      "learning_rate": 1.0294976635514019e-05,
+      "loss": 5.3299,
+      "step": 3120
+    },
+    {
+      "epoch": 6.548117154811716,
+      "grad_norm": 4.522974491119385,
+      "learning_rate": 1.0148948598130842e-05,
+      "loss": 5.3096,
+      "step": 3130
+    },
+    {
+      "epoch": 6.569037656903766,
+      "grad_norm": 4.206942081451416,
+      "learning_rate": 1.0002920560747665e-05,
+      "loss": 5.3315,
+      "step": 3140
+    },
+    {
+      "epoch": 6.589958158995816,
+      "grad_norm": 4.5326409339904785,
+      "learning_rate": 9.856892523364486e-06,
+      "loss": 5.3204,
+      "step": 3150
+    },
+    {
+      "epoch": 6.610878661087866,
+      "grad_norm": 4.2639923095703125,
+      "learning_rate": 9.71086448598131e-06,
+      "loss": 5.3027,
+      "step": 3160
+    },
+    {
+      "epoch": 6.631799163179917,
+      "grad_norm": 4.675206661224365,
+      "learning_rate": 9.564836448598131e-06,
+      "loss": 5.3199,
+      "step": 3170
+    },
+    {
+      "epoch": 6.652719665271967,
+      "grad_norm": 4.079299449920654,
+      "learning_rate": 9.418808411214954e-06,
+      "loss": 5.3314,
+      "step": 3180
+    },
+    {
+      "epoch": 6.673640167364017,
+      "grad_norm": 5.061886787414551,
+      "learning_rate": 9.272780373831776e-06,
+      "loss": 5.3272,
+      "step": 3190
+    },
+    {
+      "epoch": 6.694560669456067,
+      "grad_norm": 4.1819539070129395,
+      "learning_rate": 9.126752336448599e-06,
+      "loss": 5.3524,
+      "step": 3200
+    },
+    {
+      "epoch": 6.7154811715481175,
+      "grad_norm": 4.352437496185303,
+      "learning_rate": 8.980724299065422e-06,
+      "loss": 5.309,
+      "step": 3210
+    },
+    {
+      "epoch": 6.7364016736401675,
+      "grad_norm": 4.485301971435547,
+      "learning_rate": 8.834696261682243e-06,
+      "loss": 5.3386,
+      "step": 3220
+    },
+    {
+      "epoch": 6.7573221757322175,
+      "grad_norm": 4.056819438934326,
+      "learning_rate": 8.688668224299066e-06,
+      "loss": 5.333,
+      "step": 3230
+    },
+    {
+      "epoch": 6.7782426778242675,
+      "grad_norm": 4.242626190185547,
+      "learning_rate": 8.542640186915888e-06,
+      "loss": 5.2945,
+      "step": 3240
+    },
+    {
+      "epoch": 6.799163179916318,
+      "grad_norm": 4.980265140533447,
+      "learning_rate": 8.396612149532711e-06,
+      "loss": 5.3282,
+      "step": 3250
+    },
+    {
+      "epoch": 6.820083682008368,
+      "grad_norm": 4.217011451721191,
+      "learning_rate": 8.250584112149532e-06,
+      "loss": 5.3488,
+      "step": 3260
+    },
+    {
+      "epoch": 6.841004184100418,
+      "grad_norm": 4.251449108123779,
+      "learning_rate": 8.104556074766355e-06,
+      "loss": 5.3019,
+      "step": 3270
+    },
+    {
+      "epoch": 6.861924686192468,
+      "grad_norm": 4.524305820465088,
+      "learning_rate": 7.958528037383179e-06,
+      "loss": 5.3548,
+      "step": 3280
+    },
+    {
+      "epoch": 6.882845188284519,
+      "grad_norm": 4.697112083435059,
+      "learning_rate": 7.8125e-06,
+      "loss": 5.3154,
+      "step": 3290
+    },
+    {
+      "epoch": 6.903765690376569,
+      "grad_norm": 4.241893768310547,
+      "learning_rate": 7.666471962616823e-06,
+      "loss": 5.2998,
+      "step": 3300
+    },
+    {
+      "epoch": 6.924686192468619,
+      "grad_norm": 4.812580585479736,
+      "learning_rate": 7.520443925233646e-06,
+      "loss": 5.3335,
+      "step": 3310
+    },
+    {
+      "epoch": 6.945606694560669,
+      "grad_norm": 4.38694953918457,
+      "learning_rate": 7.374415887850468e-06,
+      "loss": 5.3257,
+      "step": 3320
+    },
+    {
+      "epoch": 6.96652719665272,
+      "grad_norm": 4.016705513000488,
+      "learning_rate": 7.22838785046729e-06,
+      "loss": 5.3378,
+      "step": 3330
+    },
+    {
+      "epoch": 6.98744769874477,
+      "grad_norm": 4.219436168670654,
+      "learning_rate": 7.082359813084112e-06,
+      "loss": 5.3092,
+      "step": 3340
+    },
+    {
+      "epoch": 7.00836820083682,
+      "grad_norm": 3.934561252593994,
+      "learning_rate": 6.936331775700936e-06,
+      "loss": 5.3018,
+      "step": 3350
+    },
+    {
+      "epoch": 7.02928870292887,
+      "grad_norm": 3.8431551456451416,
+      "learning_rate": 6.7903037383177575e-06,
+      "loss": 5.2902,
+      "step": 3360
+    },
+    {
+      "epoch": 7.050209205020921,
+      "grad_norm": 4.321191787719727,
+      "learning_rate": 6.644275700934579e-06,
+      "loss": 5.3228,
+      "step": 3370
+    },
+    {
+      "epoch": 7.071129707112971,
+      "grad_norm": 3.7915546894073486,
+      "learning_rate": 6.498247663551402e-06,
+      "loss": 5.2887,
+      "step": 3380
+    },
+    {
+      "epoch": 7.092050209205021,
+      "grad_norm": 3.980278491973877,
+      "learning_rate": 6.352219626168225e-06,
+      "loss": 5.2903,
+      "step": 3390
+    },
+    {
+      "epoch": 7.112970711297071,
+      "grad_norm": 3.8715929985046387,
+      "learning_rate": 6.2061915887850475e-06,
+      "loss": 5.2657,
+      "step": 3400
+    },
+    {
+      "epoch": 7.133891213389122,
+      "grad_norm": 4.0379958152771,
+      "learning_rate": 6.060163551401869e-06,
+      "loss": 5.2803,
+      "step": 3410
+    },
+    {
+      "epoch": 7.154811715481172,
+      "grad_norm": 4.571746826171875,
+      "learning_rate": 5.914135514018692e-06,
+      "loss": 5.2885,
+      "step": 3420
+    },
+    {
+      "epoch": 7.175732217573222,
+      "grad_norm": 4.301372528076172,
+      "learning_rate": 5.768107476635514e-06,
+      "loss": 5.2932,
+      "step": 3430
+    },
+    {
+      "epoch": 7.196652719665272,
+      "grad_norm": 4.016634941101074,
+      "learning_rate": 5.622079439252337e-06,
+      "loss": 5.2769,
+      "step": 3440
+    },
+    {
+      "epoch": 7.2175732217573225,
+      "grad_norm": 4.037191390991211,
+      "learning_rate": 5.4760514018691585e-06,
+      "loss": 5.2424,
+      "step": 3450
+    },
+    {
+      "epoch": 7.2384937238493725,
+      "grad_norm": 4.102557182312012,
+      "learning_rate": 5.330023364485982e-06,
+      "loss": 5.2526,
+      "step": 3460
+    },
+    {
+      "epoch": 7.2594142259414225,
+      "grad_norm": 3.814467191696167,
+      "learning_rate": 5.183995327102804e-06,
+      "loss": 5.2746,
+      "step": 3470
+    },
+    {
+      "epoch": 7.2803347280334725,
+      "grad_norm": 4.726773262023926,
+      "learning_rate": 5.037967289719627e-06,
+      "loss": 5.2754,
+      "step": 3480
+    },
+    {
+      "epoch": 7.301255230125523,
+      "grad_norm": 4.026674747467041,
+      "learning_rate": 4.8919392523364485e-06,
+      "loss": 5.2813,
+      "step": 3490
+    },
+    {
+      "epoch": 7.322175732217573,
+      "grad_norm": 4.189694404602051,
+      "learning_rate": 4.745911214953271e-06,
+      "loss": 5.3045,
+      "step": 3500
+    },
+    {
+      "epoch": 7.343096234309623,
+      "grad_norm": 3.8642845153808594,
+      "learning_rate": 4.599883177570094e-06,
+      "loss": 5.2797,
+      "step": 3510
+    },
+    {
+      "epoch": 7.364016736401673,
+      "grad_norm": 3.7599406242370605,
+      "learning_rate": 4.453855140186916e-06,
+      "loss": 5.2847,
+      "step": 3520
+    },
+    {
+      "epoch": 7.384937238493724,
+      "grad_norm": 4.120841979980469,
+      "learning_rate": 4.3078271028037385e-06,
+      "loss": 5.2656,
+      "step": 3530
+    },
+    {
+      "epoch": 7.405857740585774,
+      "grad_norm": 3.9323008060455322,
+      "learning_rate": 4.161799065420561e-06,
+      "loss": 5.2413,
+      "step": 3540
+    },
+    {
+      "epoch": 7.426778242677824,
+      "grad_norm": 4.041280269622803,
+      "learning_rate": 4.015771028037384e-06,
+      "loss": 5.2712,
+      "step": 3550
+    },
+    {
+      "epoch": 7.447698744769874,
+      "grad_norm": 3.7465624809265137,
+      "learning_rate": 3.869742990654206e-06,
+      "loss": 5.2625,
+      "step": 3560
+    },
+    {
+      "epoch": 7.468619246861925,
+      "grad_norm": 4.278369903564453,
+      "learning_rate": 3.7237149532710285e-06,
+      "loss": 5.2953,
+      "step": 3570
+    },
+    {
+      "epoch": 7.489539748953975,
+      "grad_norm": 4.383647918701172,
+      "learning_rate": 3.5776869158878503e-06,
+      "loss": 5.2594,
+      "step": 3580
+    },
+    {
+      "epoch": 7.510460251046025,
+      "grad_norm": 4.134693145751953,
+      "learning_rate": 3.4316588785046735e-06,
+      "loss": 5.2683,
+      "step": 3590
+    },
+    {
+      "epoch": 7.531380753138075,
+      "grad_norm": 4.535808563232422,
+      "learning_rate": 3.2856308411214953e-06,
+      "loss": 5.3007,
+      "step": 3600
+    },
+    {
+      "epoch": 7.552301255230126,
+      "grad_norm": 3.6642744541168213,
+      "learning_rate": 3.139602803738318e-06,
+      "loss": 5.2831,
+      "step": 3610
+    },
+    {
+      "epoch": 7.573221757322176,
+      "grad_norm": 4.104931354522705,
+      "learning_rate": 2.9935747663551403e-06,
+      "loss": 5.2811,
+      "step": 3620
+    },
+    {
+      "epoch": 7.594142259414226,
+      "grad_norm": 4.1342620849609375,
+      "learning_rate": 2.847546728971963e-06,
+      "loss": 5.2442,
+      "step": 3630
+    },
+    {
+      "epoch": 7.615062761506276,
+      "grad_norm": 4.103805065155029,
+      "learning_rate": 2.7015186915887853e-06,
+      "loss": 5.2564,
+      "step": 3640
+    },
+    {
+      "epoch": 7.635983263598327,
+      "grad_norm": 4.066782474517822,
+      "learning_rate": 2.5554906542056076e-06,
+      "loss": 5.2953,
+      "step": 3650
+    },
+    {
+      "epoch": 7.656903765690377,
+      "grad_norm": 4.145108222961426,
+      "learning_rate": 2.40946261682243e-06,
+      "loss": 5.2727,
+      "step": 3660
+    },
+    {
+      "epoch": 7.677824267782427,
+      "grad_norm": 4.3926005363464355,
+      "learning_rate": 2.2634345794392526e-06,
+      "loss": 5.3046,
+      "step": 3670
+    },
+    {
+      "epoch": 7.698744769874477,
+      "grad_norm": 4.0597429275512695,
+      "learning_rate": 2.117406542056075e-06,
+      "loss": 5.2608,
+      "step": 3680
+    },
+    {
+      "epoch": 7.7196652719665275,
+      "grad_norm": 4.5489912033081055,
+      "learning_rate": 1.971378504672897e-06,
+      "loss": 5.2954,
+      "step": 3690
+    },
+    {
+      "epoch": 7.7405857740585775,
+      "grad_norm": 4.182638645172119,
+      "learning_rate": 1.8253504672897197e-06,
+      "loss": 5.2748,
+      "step": 3700
+    },
+    {
+      "epoch": 7.7615062761506275,
+      "grad_norm": 4.147724628448486,
+      "learning_rate": 1.6793224299065422e-06,
+      "loss": 5.2677,
+      "step": 3710
+    },
+    {
+      "epoch": 7.7824267782426775,
+      "grad_norm": 3.8664207458496094,
+      "learning_rate": 1.5332943925233645e-06,
+      "loss": 5.2624,
+      "step": 3720
+    },
+    {
+      "epoch": 7.803347280334728,
+      "grad_norm": 3.98372483253479,
+      "learning_rate": 1.387266355140187e-06,
+      "loss": 5.2795,
+      "step": 3730
+    },
+    {
+      "epoch": 7.824267782426778,
+      "grad_norm": 3.8752615451812744,
+      "learning_rate": 1.2412383177570093e-06,
+      "loss": 5.2963,
+      "step": 3740
+    },
+    {
+      "epoch": 7.845188284518828,
+      "grad_norm": 4.161229610443115,
+      "learning_rate": 1.0952102803738318e-06,
+      "loss": 5.2632,
+      "step": 3750
+    },
+    {
+      "epoch": 7.866108786610878,
+      "grad_norm": 3.801501750946045,
+      "learning_rate": 9.491822429906542e-07,
+      "loss": 5.2939,
+      "step": 3760
+    },
+    {
+      "epoch": 7.887029288702929,
+      "grad_norm": 4.177527904510498,
+      "learning_rate": 8.031542056074766e-07,
+      "loss": 5.2627,
+      "step": 3770
+    },
+    {
+      "epoch": 7.907949790794979,
+      "grad_norm": 3.7887067794799805,
+      "learning_rate": 6.571261682242991e-07,
+      "loss": 5.3115,
+      "step": 3780
+    },
+    {
+      "epoch": 7.928870292887029,
+      "grad_norm": 4.616532325744629,
+      "learning_rate": 5.110981308411215e-07,
+      "loss": 5.3224,
+      "step": 3790
+    },
+    {
+      "epoch": 7.949790794979079,
+      "grad_norm": 4.093145847320557,
+      "learning_rate": 3.6507009345794396e-07,
+      "loss": 5.2779,
+      "step": 3800
+    },
+    {
+      "epoch": 7.97071129707113,
+      "grad_norm": 4.308866024017334,
+      "learning_rate": 2.1904205607476636e-07,
+      "loss": 5.2804,
+      "step": 3810
+    },
+    {
+      "epoch": 7.99163179916318,
+      "grad_norm": 4.583337306976318,
+      "learning_rate": 7.301401869158879e-08,
+      "loss": 5.2955,
+      "step": 3820
+    }
+  ],
+  "logging_steps": 10,
+  "max_steps": 3824,
+  "num_input_tokens_seen": 0,
+  "num_train_epochs": 8,
+  "save_steps": 1000,
+  "stateful_callbacks": {
+    "TrainerControl": {
+      "args": {
+        "should_epoch_stop": false,
+        "should_evaluate": false,
+        "should_log": false,
+        "should_save": true,
+        "should_training_stop": true
+      },
+      "attributes": {}
+    }
+  },
+  "total_flos": 0.0,
+  "train_batch_size": 48,
+  "trial_name": null,
+  "trial_params": null
+}

pretrain/one_image_layer1_pretrain_3824/training_args.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a54cd3d791538223d9fc1081ed1ca5b8f6ffba2e47f177259b0b69e54309ef57
+size 5624