Training in progress, epoch 10, checkpoint
Browse files- checkpoint-25000/README.md +9 -0
- checkpoint-25000/adapter_config.json +23 -0
- checkpoint-25000/adapter_model.bin +3 -0
- checkpoint-25000/optimizer.pt +3 -0
- checkpoint-25000/rng_state.pth +3 -0
- checkpoint-25000/scheduler.pt +3 -0
- checkpoint-25000/special_tokens_map.json +7 -0
- checkpoint-25000/tokenizer.json +0 -0
- checkpoint-25000/tokenizer_config.json +13 -0
- checkpoint-25000/trainer_state.json +3109 -0
- checkpoint-25000/training_args.bin +3 -0
- checkpoint-25000/vocab.txt +0 -0
checkpoint-25000/README.md
ADDED
|
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
library_name: peft
|
| 3 |
+
---
|
| 4 |
+
## Training procedure
|
| 5 |
+
|
| 6 |
+
### Framework versions
|
| 7 |
+
|
| 8 |
+
|
| 9 |
+
- PEFT 0.4.0
|
checkpoint-25000/adapter_config.json
ADDED
|
@@ -0,0 +1,23 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"auto_mapping": null,
|
| 3 |
+
"base_model_name_or_path": "bert-base-cased",
|
| 4 |
+
"bias": "none",
|
| 5 |
+
"fan_in_fan_out": false,
|
| 6 |
+
"inference_mode": true,
|
| 7 |
+
"init_lora_weights": true,
|
| 8 |
+
"layers_pattern": null,
|
| 9 |
+
"layers_to_transform": null,
|
| 10 |
+
"lora_alpha": 32,
|
| 11 |
+
"lora_dropout": 0.1,
|
| 12 |
+
"modules_to_save": [
|
| 13 |
+
"classifier"
|
| 14 |
+
],
|
| 15 |
+
"peft_type": "LORA",
|
| 16 |
+
"r": 8,
|
| 17 |
+
"revision": null,
|
| 18 |
+
"target_modules": [
|
| 19 |
+
"query",
|
| 20 |
+
"value"
|
| 21 |
+
],
|
| 22 |
+
"task_type": "SEQ_CLS"
|
| 23 |
+
}
|
checkpoint-25000/adapter_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b272fb9a43ec5024f0c237bc8af96d2473d54aff156b179b9a79cfc94d77e28b
|
| 3 |
+
size 1203911
|
checkpoint-25000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:794c96760ed6509f9fc9c7c6f8203283ea4231039ac43f4fbd5a96100a447200
|
| 3 |
+
size 2413509
|
checkpoint-25000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5d7953aadd665c6198f72cd6d658a9bd2297e066c1e9b136220a150e924709f2
|
| 3 |
+
size 14575
|
checkpoint-25000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9df9c041f275b844d23a89de39c9db750359c2332be8d3f2891a437561fd802b
|
| 3 |
+
size 627
|
checkpoint-25000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
checkpoint-25000/tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-25000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clean_up_tokenization_spaces": true,
|
| 3 |
+
"cls_token": "[CLS]",
|
| 4 |
+
"do_lower_case": false,
|
| 5 |
+
"mask_token": "[MASK]",
|
| 6 |
+
"model_max_length": 512,
|
| 7 |
+
"pad_token": "[PAD]",
|
| 8 |
+
"sep_token": "[SEP]",
|
| 9 |
+
"strip_accents": null,
|
| 10 |
+
"tokenize_chinese_chars": true,
|
| 11 |
+
"tokenizer_class": "BertTokenizer",
|
| 12 |
+
"unk_token": "[UNK]"
|
| 13 |
+
}
|
checkpoint-25000/trainer_state.json
ADDED
|
@@ -0,0 +1,3109 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9372,
|
| 3 |
+
"best_model_checkpoint": "output/checkpoint-22500",
|
| 4 |
+
"epoch": 10.0,
|
| 5 |
+
"eval_steps": 500,
|
| 6 |
+
"global_step": 25000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.02,
|
| 13 |
+
"learning_rate": 3.3333333333333337e-06,
|
| 14 |
+
"loss": 0.8125,
|
| 15 |
+
"step": 50
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 6.6666666666666675e-06,
|
| 20 |
+
"loss": 0.7599,
|
| 21 |
+
"step": 100
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.06,
|
| 25 |
+
"learning_rate": 1e-05,
|
| 26 |
+
"loss": 0.7309,
|
| 27 |
+
"step": 150
|
| 28 |
+
},
|
| 29 |
+
{
|
| 30 |
+
"epoch": 0.08,
|
| 31 |
+
"learning_rate": 1.3333333333333335e-05,
|
| 32 |
+
"loss": 0.7104,
|
| 33 |
+
"step": 200
|
| 34 |
+
},
|
| 35 |
+
{
|
| 36 |
+
"epoch": 0.1,
|
| 37 |
+
"learning_rate": 1.6666666666666667e-05,
|
| 38 |
+
"loss": 0.6939,
|
| 39 |
+
"step": 250
|
| 40 |
+
},
|
| 41 |
+
{
|
| 42 |
+
"epoch": 0.12,
|
| 43 |
+
"learning_rate": 2e-05,
|
| 44 |
+
"loss": 0.6824,
|
| 45 |
+
"step": 300
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.14,
|
| 49 |
+
"learning_rate": 2.3333333333333336e-05,
|
| 50 |
+
"loss": 0.686,
|
| 51 |
+
"step": 350
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.16,
|
| 55 |
+
"learning_rate": 2.666666666666667e-05,
|
| 56 |
+
"loss": 0.6693,
|
| 57 |
+
"step": 400
|
| 58 |
+
},
|
| 59 |
+
{
|
| 60 |
+
"epoch": 0.18,
|
| 61 |
+
"learning_rate": 3e-05,
|
| 62 |
+
"loss": 0.6436,
|
| 63 |
+
"step": 450
|
| 64 |
+
},
|
| 65 |
+
{
|
| 66 |
+
"epoch": 0.2,
|
| 67 |
+
"learning_rate": 3.3333333333333335e-05,
|
| 68 |
+
"loss": 0.6101,
|
| 69 |
+
"step": 500
|
| 70 |
+
},
|
| 71 |
+
{
|
| 72 |
+
"epoch": 0.22,
|
| 73 |
+
"learning_rate": 3.6666666666666666e-05,
|
| 74 |
+
"loss": 0.493,
|
| 75 |
+
"step": 550
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.24,
|
| 79 |
+
"learning_rate": 3.993333333333333e-05,
|
| 80 |
+
"loss": 0.4239,
|
| 81 |
+
"step": 600
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.26,
|
| 85 |
+
"learning_rate": 4.326666666666667e-05,
|
| 86 |
+
"loss": 0.3391,
|
| 87 |
+
"step": 650
|
| 88 |
+
},
|
| 89 |
+
{
|
| 90 |
+
"epoch": 0.28,
|
| 91 |
+
"learning_rate": 4.66e-05,
|
| 92 |
+
"loss": 0.3332,
|
| 93 |
+
"step": 700
|
| 94 |
+
},
|
| 95 |
+
{
|
| 96 |
+
"epoch": 0.3,
|
| 97 |
+
"learning_rate": 4.986666666666666e-05,
|
| 98 |
+
"loss": 0.3966,
|
| 99 |
+
"step": 750
|
| 100 |
+
},
|
| 101 |
+
{
|
| 102 |
+
"epoch": 0.32,
|
| 103 |
+
"learning_rate": 5.32e-05,
|
| 104 |
+
"loss": 0.3137,
|
| 105 |
+
"step": 800
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.34,
|
| 109 |
+
"learning_rate": 5.653333333333333e-05,
|
| 110 |
+
"loss": 0.3072,
|
| 111 |
+
"step": 850
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.36,
|
| 115 |
+
"learning_rate": 5.986666666666667e-05,
|
| 116 |
+
"loss": 0.272,
|
| 117 |
+
"step": 900
|
| 118 |
+
},
|
| 119 |
+
{
|
| 120 |
+
"epoch": 0.38,
|
| 121 |
+
"learning_rate": 6.32e-05,
|
| 122 |
+
"loss": 0.2715,
|
| 123 |
+
"step": 950
|
| 124 |
+
},
|
| 125 |
+
{
|
| 126 |
+
"epoch": 0.4,
|
| 127 |
+
"learning_rate": 6.653333333333333e-05,
|
| 128 |
+
"loss": 0.2892,
|
| 129 |
+
"step": 1000
|
| 130 |
+
},
|
| 131 |
+
{
|
| 132 |
+
"epoch": 0.42,
|
| 133 |
+
"learning_rate": 6.986666666666667e-05,
|
| 134 |
+
"loss": 0.28,
|
| 135 |
+
"step": 1050
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.44,
|
| 139 |
+
"learning_rate": 7.32e-05,
|
| 140 |
+
"loss": 0.3102,
|
| 141 |
+
"step": 1100
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.46,
|
| 145 |
+
"learning_rate": 7.653333333333333e-05,
|
| 146 |
+
"loss": 0.2663,
|
| 147 |
+
"step": 1150
|
| 148 |
+
},
|
| 149 |
+
{
|
| 150 |
+
"epoch": 0.48,
|
| 151 |
+
"learning_rate": 7.986666666666667e-05,
|
| 152 |
+
"loss": 0.2778,
|
| 153 |
+
"step": 1200
|
| 154 |
+
},
|
| 155 |
+
{
|
| 156 |
+
"epoch": 0.5,
|
| 157 |
+
"learning_rate": 8.32e-05,
|
| 158 |
+
"loss": 0.3414,
|
| 159 |
+
"step": 1250
|
| 160 |
+
},
|
| 161 |
+
{
|
| 162 |
+
"epoch": 0.52,
|
| 163 |
+
"learning_rate": 8.653333333333334e-05,
|
| 164 |
+
"loss": 0.2608,
|
| 165 |
+
"step": 1300
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.54,
|
| 169 |
+
"learning_rate": 8.986666666666666e-05,
|
| 170 |
+
"loss": 0.2847,
|
| 171 |
+
"step": 1350
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.56,
|
| 175 |
+
"learning_rate": 9.32e-05,
|
| 176 |
+
"loss": 0.2801,
|
| 177 |
+
"step": 1400
|
| 178 |
+
},
|
| 179 |
+
{
|
| 180 |
+
"epoch": 0.58,
|
| 181 |
+
"learning_rate": 9.653333333333334e-05,
|
| 182 |
+
"loss": 0.2777,
|
| 183 |
+
"step": 1450
|
| 184 |
+
},
|
| 185 |
+
{
|
| 186 |
+
"epoch": 0.6,
|
| 187 |
+
"learning_rate": 9.986666666666668e-05,
|
| 188 |
+
"loss": 0.2819,
|
| 189 |
+
"step": 1500
|
| 190 |
+
},
|
| 191 |
+
{
|
| 192 |
+
"epoch": 0.62,
|
| 193 |
+
"learning_rate": 0.0001032,
|
| 194 |
+
"loss": 0.2631,
|
| 195 |
+
"step": 1550
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.64,
|
| 199 |
+
"learning_rate": 0.00010653333333333333,
|
| 200 |
+
"loss": 0.255,
|
| 201 |
+
"step": 1600
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.66,
|
| 205 |
+
"learning_rate": 0.00010986666666666668,
|
| 206 |
+
"loss": 0.3253,
|
| 207 |
+
"step": 1650
|
| 208 |
+
},
|
| 209 |
+
{
|
| 210 |
+
"epoch": 0.68,
|
| 211 |
+
"learning_rate": 0.0001132,
|
| 212 |
+
"loss": 0.2632,
|
| 213 |
+
"step": 1700
|
| 214 |
+
},
|
| 215 |
+
{
|
| 216 |
+
"epoch": 0.7,
|
| 217 |
+
"learning_rate": 0.00011653333333333334,
|
| 218 |
+
"loss": 0.2808,
|
| 219 |
+
"step": 1750
|
| 220 |
+
},
|
| 221 |
+
{
|
| 222 |
+
"epoch": 0.72,
|
| 223 |
+
"learning_rate": 0.00011986666666666666,
|
| 224 |
+
"loss": 0.2487,
|
| 225 |
+
"step": 1800
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.74,
|
| 229 |
+
"learning_rate": 0.0001232,
|
| 230 |
+
"loss": 0.1958,
|
| 231 |
+
"step": 1850
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.76,
|
| 235 |
+
"learning_rate": 0.00012653333333333334,
|
| 236 |
+
"loss": 0.2882,
|
| 237 |
+
"step": 1900
|
| 238 |
+
},
|
| 239 |
+
{
|
| 240 |
+
"epoch": 0.78,
|
| 241 |
+
"learning_rate": 0.00012986666666666666,
|
| 242 |
+
"loss": 0.2877,
|
| 243 |
+
"step": 1950
|
| 244 |
+
},
|
| 245 |
+
{
|
| 246 |
+
"epoch": 0.8,
|
| 247 |
+
"learning_rate": 0.0001332,
|
| 248 |
+
"loss": 0.2412,
|
| 249 |
+
"step": 2000
|
| 250 |
+
},
|
| 251 |
+
{
|
| 252 |
+
"epoch": 0.82,
|
| 253 |
+
"learning_rate": 0.00013653333333333334,
|
| 254 |
+
"loss": 0.2608,
|
| 255 |
+
"step": 2050
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.84,
|
| 259 |
+
"learning_rate": 0.00013986666666666666,
|
| 260 |
+
"loss": 0.2296,
|
| 261 |
+
"step": 2100
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.86,
|
| 265 |
+
"learning_rate": 0.00014319999999999998,
|
| 266 |
+
"loss": 0.2311,
|
| 267 |
+
"step": 2150
|
| 268 |
+
},
|
| 269 |
+
{
|
| 270 |
+
"epoch": 0.88,
|
| 271 |
+
"learning_rate": 0.00014653333333333334,
|
| 272 |
+
"loss": 0.2603,
|
| 273 |
+
"step": 2200
|
| 274 |
+
},
|
| 275 |
+
{
|
| 276 |
+
"epoch": 0.9,
|
| 277 |
+
"learning_rate": 0.00014986666666666669,
|
| 278 |
+
"loss": 0.2923,
|
| 279 |
+
"step": 2250
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 0.92,
|
| 283 |
+
"learning_rate": 0.0001532,
|
| 284 |
+
"loss": 0.2415,
|
| 285 |
+
"step": 2300
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.94,
|
| 289 |
+
"learning_rate": 0.00015646666666666668,
|
| 290 |
+
"loss": 0.2671,
|
| 291 |
+
"step": 2350
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.96,
|
| 295 |
+
"learning_rate": 0.0001598,
|
| 296 |
+
"loss": 0.2421,
|
| 297 |
+
"step": 2400
|
| 298 |
+
},
|
| 299 |
+
{
|
| 300 |
+
"epoch": 0.98,
|
| 301 |
+
"learning_rate": 0.00016313333333333333,
|
| 302 |
+
"loss": 0.2449,
|
| 303 |
+
"step": 2450
|
| 304 |
+
},
|
| 305 |
+
{
|
| 306 |
+
"epoch": 1.0,
|
| 307 |
+
"learning_rate": 0.00016646666666666668,
|
| 308 |
+
"loss": 0.2399,
|
| 309 |
+
"step": 2500
|
| 310 |
+
},
|
| 311 |
+
{
|
| 312 |
+
"epoch": 1.0,
|
| 313 |
+
"eval_accuracy": 0.9037,
|
| 314 |
+
"eval_loss": 0.2539164125919342,
|
| 315 |
+
"eval_runtime": 132.4594,
|
| 316 |
+
"eval_samples_per_second": 75.495,
|
| 317 |
+
"eval_steps_per_second": 4.718,
|
| 318 |
+
"step": 2500
|
| 319 |
+
},
|
| 320 |
+
{
|
| 321 |
+
"epoch": 1.02,
|
| 322 |
+
"learning_rate": 0.0001698,
|
| 323 |
+
"loss": 0.2453,
|
| 324 |
+
"step": 2550
|
| 325 |
+
},
|
| 326 |
+
{
|
| 327 |
+
"epoch": 1.04,
|
| 328 |
+
"learning_rate": 0.00017313333333333333,
|
| 329 |
+
"loss": 0.2485,
|
| 330 |
+
"step": 2600
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 1.06,
|
| 334 |
+
"learning_rate": 0.00017646666666666666,
|
| 335 |
+
"loss": 0.2321,
|
| 336 |
+
"step": 2650
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 1.08,
|
| 340 |
+
"learning_rate": 0.00017979999999999998,
|
| 341 |
+
"loss": 0.239,
|
| 342 |
+
"step": 2700
|
| 343 |
+
},
|
| 344 |
+
{
|
| 345 |
+
"epoch": 1.1,
|
| 346 |
+
"learning_rate": 0.00018313333333333336,
|
| 347 |
+
"loss": 0.2389,
|
| 348 |
+
"step": 2750
|
| 349 |
+
},
|
| 350 |
+
{
|
| 351 |
+
"epoch": 1.12,
|
| 352 |
+
"learning_rate": 0.00018646666666666668,
|
| 353 |
+
"loss": 0.2216,
|
| 354 |
+
"step": 2800
|
| 355 |
+
},
|
| 356 |
+
{
|
| 357 |
+
"epoch": 1.14,
|
| 358 |
+
"learning_rate": 0.0001898,
|
| 359 |
+
"loss": 0.3027,
|
| 360 |
+
"step": 2850
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 1.16,
|
| 364 |
+
"learning_rate": 0.00019313333333333333,
|
| 365 |
+
"loss": 0.2683,
|
| 366 |
+
"step": 2900
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 1.18,
|
| 370 |
+
"learning_rate": 0.00019646666666666668,
|
| 371 |
+
"loss": 0.2378,
|
| 372 |
+
"step": 2950
|
| 373 |
+
},
|
| 374 |
+
{
|
| 375 |
+
"epoch": 1.2,
|
| 376 |
+
"learning_rate": 0.0001998,
|
| 377 |
+
"loss": 0.2598,
|
| 378 |
+
"step": 3000
|
| 379 |
+
},
|
| 380 |
+
{
|
| 381 |
+
"epoch": 1.22,
|
| 382 |
+
"learning_rate": 0.00020313333333333333,
|
| 383 |
+
"loss": 0.2363,
|
| 384 |
+
"step": 3050
|
| 385 |
+
},
|
| 386 |
+
{
|
| 387 |
+
"epoch": 1.24,
|
| 388 |
+
"learning_rate": 0.00020646666666666665,
|
| 389 |
+
"loss": 0.2437,
|
| 390 |
+
"step": 3100
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.26,
|
| 394 |
+
"learning_rate": 0.0002098,
|
| 395 |
+
"loss": 0.244,
|
| 396 |
+
"step": 3150
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.28,
|
| 400 |
+
"learning_rate": 0.00021313333333333335,
|
| 401 |
+
"loss": 0.2264,
|
| 402 |
+
"step": 3200
|
| 403 |
+
},
|
| 404 |
+
{
|
| 405 |
+
"epoch": 1.3,
|
| 406 |
+
"learning_rate": 0.00021646666666666668,
|
| 407 |
+
"loss": 0.188,
|
| 408 |
+
"step": 3250
|
| 409 |
+
},
|
| 410 |
+
{
|
| 411 |
+
"epoch": 1.32,
|
| 412 |
+
"learning_rate": 0.0002198,
|
| 413 |
+
"loss": 0.2507,
|
| 414 |
+
"step": 3300
|
| 415 |
+
},
|
| 416 |
+
{
|
| 417 |
+
"epoch": 1.34,
|
| 418 |
+
"learning_rate": 0.00022313333333333333,
|
| 419 |
+
"loss": 0.2265,
|
| 420 |
+
"step": 3350
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.36,
|
| 424 |
+
"learning_rate": 0.00022646666666666668,
|
| 425 |
+
"loss": 0.2265,
|
| 426 |
+
"step": 3400
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.38,
|
| 430 |
+
"learning_rate": 0.0002298,
|
| 431 |
+
"loss": 0.226,
|
| 432 |
+
"step": 3450
|
| 433 |
+
},
|
| 434 |
+
{
|
| 435 |
+
"epoch": 1.4,
|
| 436 |
+
"learning_rate": 0.00023313333333333333,
|
| 437 |
+
"loss": 0.2502,
|
| 438 |
+
"step": 3500
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"epoch": 1.42,
|
| 442 |
+
"learning_rate": 0.00023646666666666665,
|
| 443 |
+
"loss": 0.2436,
|
| 444 |
+
"step": 3550
|
| 445 |
+
},
|
| 446 |
+
{
|
| 447 |
+
"epoch": 1.44,
|
| 448 |
+
"learning_rate": 0.00023980000000000003,
|
| 449 |
+
"loss": 0.2472,
|
| 450 |
+
"step": 3600
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.46,
|
| 454 |
+
"learning_rate": 0.00024313333333333335,
|
| 455 |
+
"loss": 0.2596,
|
| 456 |
+
"step": 3650
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.48,
|
| 460 |
+
"learning_rate": 0.0002464666666666667,
|
| 461 |
+
"loss": 0.2381,
|
| 462 |
+
"step": 3700
|
| 463 |
+
},
|
| 464 |
+
{
|
| 465 |
+
"epoch": 1.5,
|
| 466 |
+
"learning_rate": 0.0002498,
|
| 467 |
+
"loss": 0.231,
|
| 468 |
+
"step": 3750
|
| 469 |
+
},
|
| 470 |
+
{
|
| 471 |
+
"epoch": 1.52,
|
| 472 |
+
"learning_rate": 0.0002531333333333333,
|
| 473 |
+
"loss": 0.2489,
|
| 474 |
+
"step": 3800
|
| 475 |
+
},
|
| 476 |
+
{
|
| 477 |
+
"epoch": 1.54,
|
| 478 |
+
"learning_rate": 0.0002564666666666667,
|
| 479 |
+
"loss": 0.1849,
|
| 480 |
+
"step": 3850
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.56,
|
| 484 |
+
"learning_rate": 0.00025979999999999997,
|
| 485 |
+
"loss": 0.2742,
|
| 486 |
+
"step": 3900
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.58,
|
| 490 |
+
"learning_rate": 0.00026313333333333335,
|
| 491 |
+
"loss": 0.2268,
|
| 492 |
+
"step": 3950
|
| 493 |
+
},
|
| 494 |
+
{
|
| 495 |
+
"epoch": 1.6,
|
| 496 |
+
"learning_rate": 0.0002664666666666667,
|
| 497 |
+
"loss": 0.287,
|
| 498 |
+
"step": 4000
|
| 499 |
+
},
|
| 500 |
+
{
|
| 501 |
+
"epoch": 1.62,
|
| 502 |
+
"learning_rate": 0.0002698,
|
| 503 |
+
"loss": 0.208,
|
| 504 |
+
"step": 4050
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"epoch": 1.64,
|
| 508 |
+
"learning_rate": 0.0002731333333333333,
|
| 509 |
+
"loss": 0.2446,
|
| 510 |
+
"step": 4100
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.66,
|
| 514 |
+
"learning_rate": 0.0002764666666666667,
|
| 515 |
+
"loss": 0.2359,
|
| 516 |
+
"step": 4150
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.68,
|
| 520 |
+
"learning_rate": 0.0002798,
|
| 521 |
+
"loss": 0.2917,
|
| 522 |
+
"step": 4200
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"epoch": 1.7,
|
| 526 |
+
"learning_rate": 0.00028313333333333335,
|
| 527 |
+
"loss": 0.2051,
|
| 528 |
+
"step": 4250
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"epoch": 1.72,
|
| 532 |
+
"learning_rate": 0.00028646666666666667,
|
| 533 |
+
"loss": 0.2119,
|
| 534 |
+
"step": 4300
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"epoch": 1.74,
|
| 538 |
+
"learning_rate": 0.0002898,
|
| 539 |
+
"loss": 0.1946,
|
| 540 |
+
"step": 4350
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.76,
|
| 544 |
+
"learning_rate": 0.0002931333333333334,
|
| 545 |
+
"loss": 0.2159,
|
| 546 |
+
"step": 4400
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.78,
|
| 550 |
+
"learning_rate": 0.00029646666666666664,
|
| 551 |
+
"loss": 0.2793,
|
| 552 |
+
"step": 4450
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"epoch": 1.8,
|
| 556 |
+
"learning_rate": 0.0002998,
|
| 557 |
+
"loss": 0.2675,
|
| 558 |
+
"step": 4500
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"epoch": 1.82,
|
| 562 |
+
"learning_rate": 0.0003031333333333333,
|
| 563 |
+
"loss": 0.1927,
|
| 564 |
+
"step": 4550
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"epoch": 1.84,
|
| 568 |
+
"learning_rate": 0.00030646666666666667,
|
| 569 |
+
"loss": 0.177,
|
| 570 |
+
"step": 4600
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.86,
|
| 574 |
+
"learning_rate": 0.00030980000000000005,
|
| 575 |
+
"loss": 0.2681,
|
| 576 |
+
"step": 4650
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.88,
|
| 580 |
+
"learning_rate": 0.00031306666666666667,
|
| 581 |
+
"loss": 0.2123,
|
| 582 |
+
"step": 4700
|
| 583 |
+
},
|
| 584 |
+
{
|
| 585 |
+
"epoch": 1.9,
|
| 586 |
+
"learning_rate": 0.00031640000000000005,
|
| 587 |
+
"loss": 0.2232,
|
| 588 |
+
"step": 4750
|
| 589 |
+
},
|
| 590 |
+
{
|
| 591 |
+
"epoch": 1.92,
|
| 592 |
+
"learning_rate": 0.0003197333333333333,
|
| 593 |
+
"loss": 0.222,
|
| 594 |
+
"step": 4800
|
| 595 |
+
},
|
| 596 |
+
{
|
| 597 |
+
"epoch": 1.94,
|
| 598 |
+
"learning_rate": 0.0003230666666666667,
|
| 599 |
+
"loss": 0.2126,
|
| 600 |
+
"step": 4850
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.96,
|
| 604 |
+
"learning_rate": 0.0003264,
|
| 605 |
+
"loss": 0.2268,
|
| 606 |
+
"step": 4900
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.98,
|
| 610 |
+
"learning_rate": 0.00032973333333333334,
|
| 611 |
+
"loss": 0.2239,
|
| 612 |
+
"step": 4950
|
| 613 |
+
},
|
| 614 |
+
{
|
| 615 |
+
"epoch": 2.0,
|
| 616 |
+
"learning_rate": 0.00033306666666666667,
|
| 617 |
+
"loss": 0.2454,
|
| 618 |
+
"step": 5000
|
| 619 |
+
},
|
| 620 |
+
{
|
| 621 |
+
"epoch": 2.0,
|
| 622 |
+
"eval_accuracy": 0.9064,
|
| 623 |
+
"eval_loss": 0.27525001764297485,
|
| 624 |
+
"eval_runtime": 132.3865,
|
| 625 |
+
"eval_samples_per_second": 75.536,
|
| 626 |
+
"eval_steps_per_second": 4.721,
|
| 627 |
+
"step": 5000
|
| 628 |
+
},
|
| 629 |
+
{
|
| 630 |
+
"epoch": 2.02,
|
| 631 |
+
"learning_rate": 0.0003364,
|
| 632 |
+
"loss": 0.2001,
|
| 633 |
+
"step": 5050
|
| 634 |
+
},
|
| 635 |
+
{
|
| 636 |
+
"epoch": 2.04,
|
| 637 |
+
"learning_rate": 0.0003397333333333333,
|
| 638 |
+
"loss": 0.1839,
|
| 639 |
+
"step": 5100
|
| 640 |
+
},
|
| 641 |
+
{
|
| 642 |
+
"epoch": 2.06,
|
| 643 |
+
"learning_rate": 0.0003430666666666667,
|
| 644 |
+
"loss": 0.2544,
|
| 645 |
+
"step": 5150
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 2.08,
|
| 649 |
+
"learning_rate": 0.0003464,
|
| 650 |
+
"loss": 0.1747,
|
| 651 |
+
"step": 5200
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 2.1,
|
| 655 |
+
"learning_rate": 0.00034973333333333334,
|
| 656 |
+
"loss": 0.1857,
|
| 657 |
+
"step": 5250
|
| 658 |
+
},
|
| 659 |
+
{
|
| 660 |
+
"epoch": 2.12,
|
| 661 |
+
"learning_rate": 0.00035306666666666667,
|
| 662 |
+
"loss": 0.2486,
|
| 663 |
+
"step": 5300
|
| 664 |
+
},
|
| 665 |
+
{
|
| 666 |
+
"epoch": 2.14,
|
| 667 |
+
"learning_rate": 0.0003564,
|
| 668 |
+
"loss": 0.1884,
|
| 669 |
+
"step": 5350
|
| 670 |
+
},
|
| 671 |
+
{
|
| 672 |
+
"epoch": 2.16,
|
| 673 |
+
"learning_rate": 0.00035973333333333337,
|
| 674 |
+
"loss": 0.2118,
|
| 675 |
+
"step": 5400
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 2.18,
|
| 679 |
+
"learning_rate": 0.00036306666666666664,
|
| 680 |
+
"loss": 0.2187,
|
| 681 |
+
"step": 5450
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 2.2,
|
| 685 |
+
"learning_rate": 0.0003664,
|
| 686 |
+
"loss": 0.2032,
|
| 687 |
+
"step": 5500
|
| 688 |
+
},
|
| 689 |
+
{
|
| 690 |
+
"epoch": 2.22,
|
| 691 |
+
"learning_rate": 0.00036973333333333334,
|
| 692 |
+
"loss": 0.1931,
|
| 693 |
+
"step": 5550
|
| 694 |
+
},
|
| 695 |
+
{
|
| 696 |
+
"epoch": 2.24,
|
| 697 |
+
"learning_rate": 0.00037306666666666666,
|
| 698 |
+
"loss": 0.2272,
|
| 699 |
+
"step": 5600
|
| 700 |
+
},
|
| 701 |
+
{
|
| 702 |
+
"epoch": 2.26,
|
| 703 |
+
"learning_rate": 0.00037640000000000004,
|
| 704 |
+
"loss": 0.2196,
|
| 705 |
+
"step": 5650
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 2.28,
|
| 709 |
+
"learning_rate": 0.0003797333333333333,
|
| 710 |
+
"loss": 0.1778,
|
| 711 |
+
"step": 5700
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 2.3,
|
| 715 |
+
"learning_rate": 0.0003830666666666667,
|
| 716 |
+
"loss": 0.1637,
|
| 717 |
+
"step": 5750
|
| 718 |
+
},
|
| 719 |
+
{
|
| 720 |
+
"epoch": 2.32,
|
| 721 |
+
"learning_rate": 0.0003864,
|
| 722 |
+
"loss": 0.1595,
|
| 723 |
+
"step": 5800
|
| 724 |
+
},
|
| 725 |
+
{
|
| 726 |
+
"epoch": 2.34,
|
| 727 |
+
"learning_rate": 0.00038973333333333334,
|
| 728 |
+
"loss": 0.2069,
|
| 729 |
+
"step": 5850
|
| 730 |
+
},
|
| 731 |
+
{
|
| 732 |
+
"epoch": 2.36,
|
| 733 |
+
"learning_rate": 0.00039306666666666666,
|
| 734 |
+
"loss": 0.2338,
|
| 735 |
+
"step": 5900
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.38,
|
| 739 |
+
"learning_rate": 0.0003964,
|
| 740 |
+
"loss": 0.2159,
|
| 741 |
+
"step": 5950
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.4,
|
| 745 |
+
"learning_rate": 0.00039973333333333336,
|
| 746 |
+
"loss": 0.2325,
|
| 747 |
+
"step": 6000
|
| 748 |
+
},
|
| 749 |
+
{
|
| 750 |
+
"epoch": 2.42,
|
| 751 |
+
"learning_rate": 0.0004030666666666667,
|
| 752 |
+
"loss": 0.2506,
|
| 753 |
+
"step": 6050
|
| 754 |
+
},
|
| 755 |
+
{
|
| 756 |
+
"epoch": 2.44,
|
| 757 |
+
"learning_rate": 0.0004064,
|
| 758 |
+
"loss": 0.2129,
|
| 759 |
+
"step": 6100
|
| 760 |
+
},
|
| 761 |
+
{
|
| 762 |
+
"epoch": 2.46,
|
| 763 |
+
"learning_rate": 0.00040973333333333334,
|
| 764 |
+
"loss": 0.2239,
|
| 765 |
+
"step": 6150
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.48,
|
| 769 |
+
"learning_rate": 0.0004130666666666667,
|
| 770 |
+
"loss": 0.231,
|
| 771 |
+
"step": 6200
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.5,
|
| 775 |
+
"learning_rate": 0.0004164,
|
| 776 |
+
"loss": 0.2157,
|
| 777 |
+
"step": 6250
|
| 778 |
+
},
|
| 779 |
+
{
|
| 780 |
+
"epoch": 2.52,
|
| 781 |
+
"learning_rate": 0.00041973333333333336,
|
| 782 |
+
"loss": 0.2642,
|
| 783 |
+
"step": 6300
|
| 784 |
+
},
|
| 785 |
+
{
|
| 786 |
+
"epoch": 2.54,
|
| 787 |
+
"learning_rate": 0.00042306666666666663,
|
| 788 |
+
"loss": 0.2308,
|
| 789 |
+
"step": 6350
|
| 790 |
+
},
|
| 791 |
+
{
|
| 792 |
+
"epoch": 2.56,
|
| 793 |
+
"learning_rate": 0.0004264,
|
| 794 |
+
"loss": 0.2229,
|
| 795 |
+
"step": 6400
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.58,
|
| 799 |
+
"learning_rate": 0.0004297333333333334,
|
| 800 |
+
"loss": 0.2231,
|
| 801 |
+
"step": 6450
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 2.6,
|
| 805 |
+
"learning_rate": 0.00043306666666666666,
|
| 806 |
+
"loss": 0.1866,
|
| 807 |
+
"step": 6500
|
| 808 |
+
},
|
| 809 |
+
{
|
| 810 |
+
"epoch": 2.62,
|
| 811 |
+
"learning_rate": 0.00043640000000000004,
|
| 812 |
+
"loss": 0.1999,
|
| 813 |
+
"step": 6550
|
| 814 |
+
},
|
| 815 |
+
{
|
| 816 |
+
"epoch": 2.64,
|
| 817 |
+
"learning_rate": 0.0004397333333333333,
|
| 818 |
+
"loss": 0.2566,
|
| 819 |
+
"step": 6600
|
| 820 |
+
},
|
| 821 |
+
{
|
| 822 |
+
"epoch": 2.66,
|
| 823 |
+
"learning_rate": 0.0004430666666666667,
|
| 824 |
+
"loss": 0.2168,
|
| 825 |
+
"step": 6650
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 2.68,
|
| 829 |
+
"learning_rate": 0.0004464,
|
| 830 |
+
"loss": 0.2551,
|
| 831 |
+
"step": 6700
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 2.7,
|
| 835 |
+
"learning_rate": 0.00044973333333333333,
|
| 836 |
+
"loss": 0.1921,
|
| 837 |
+
"step": 6750
|
| 838 |
+
},
|
| 839 |
+
{
|
| 840 |
+
"epoch": 2.72,
|
| 841 |
+
"learning_rate": 0.00045306666666666666,
|
| 842 |
+
"loss": 0.2241,
|
| 843 |
+
"step": 6800
|
| 844 |
+
},
|
| 845 |
+
{
|
| 846 |
+
"epoch": 2.74,
|
| 847 |
+
"learning_rate": 0.0004564,
|
| 848 |
+
"loss": 0.2359,
|
| 849 |
+
"step": 6850
|
| 850 |
+
},
|
| 851 |
+
{
|
| 852 |
+
"epoch": 2.76,
|
| 853 |
+
"learning_rate": 0.00045966666666666665,
|
| 854 |
+
"loss": 0.2348,
|
| 855 |
+
"step": 6900
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.78,
|
| 859 |
+
"learning_rate": 0.00046300000000000003,
|
| 860 |
+
"loss": 0.2228,
|
| 861 |
+
"step": 6950
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 2.8,
|
| 865 |
+
"learning_rate": 0.00046633333333333336,
|
| 866 |
+
"loss": 0.2302,
|
| 867 |
+
"step": 7000
|
| 868 |
+
},
|
| 869 |
+
{
|
| 870 |
+
"epoch": 2.82,
|
| 871 |
+
"learning_rate": 0.0004696666666666667,
|
| 872 |
+
"loss": 0.2455,
|
| 873 |
+
"step": 7050
|
| 874 |
+
},
|
| 875 |
+
{
|
| 876 |
+
"epoch": 2.84,
|
| 877 |
+
"learning_rate": 0.000473,
|
| 878 |
+
"loss": 0.2731,
|
| 879 |
+
"step": 7100
|
| 880 |
+
},
|
| 881 |
+
{
|
| 882 |
+
"epoch": 2.86,
|
| 883 |
+
"learning_rate": 0.00047633333333333333,
|
| 884 |
+
"loss": 0.2365,
|
| 885 |
+
"step": 7150
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.88,
|
| 889 |
+
"learning_rate": 0.0004796666666666667,
|
| 890 |
+
"loss": 0.2554,
|
| 891 |
+
"step": 7200
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.9,
|
| 895 |
+
"learning_rate": 0.000483,
|
| 896 |
+
"loss": 0.2386,
|
| 897 |
+
"step": 7250
|
| 898 |
+
},
|
| 899 |
+
{
|
| 900 |
+
"epoch": 2.92,
|
| 901 |
+
"learning_rate": 0.00048633333333333335,
|
| 902 |
+
"loss": 0.1938,
|
| 903 |
+
"step": 7300
|
| 904 |
+
},
|
| 905 |
+
{
|
| 906 |
+
"epoch": 2.94,
|
| 907 |
+
"learning_rate": 0.0004896666666666667,
|
| 908 |
+
"loss": 0.23,
|
| 909 |
+
"step": 7350
|
| 910 |
+
},
|
| 911 |
+
{
|
| 912 |
+
"epoch": 2.96,
|
| 913 |
+
"learning_rate": 0.0004930000000000001,
|
| 914 |
+
"loss": 0.2151,
|
| 915 |
+
"step": 7400
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 2.98,
|
| 919 |
+
"learning_rate": 0.0004963333333333333,
|
| 920 |
+
"loss": 0.2073,
|
| 921 |
+
"step": 7450
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 3.0,
|
| 925 |
+
"learning_rate": 0.0004996666666666667,
|
| 926 |
+
"loss": 0.2251,
|
| 927 |
+
"step": 7500
|
| 928 |
+
},
|
| 929 |
+
{
|
| 930 |
+
"epoch": 3.0,
|
| 931 |
+
"eval_accuracy": 0.9167,
|
| 932 |
+
"eval_loss": 0.24363669753074646,
|
| 933 |
+
"eval_runtime": 132.3921,
|
| 934 |
+
"eval_samples_per_second": 75.533,
|
| 935 |
+
"eval_steps_per_second": 4.721,
|
| 936 |
+
"step": 7500
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 3.02,
|
| 940 |
+
"learning_rate": 0.0004999918425141952,
|
| 941 |
+
"loss": 0.1875,
|
| 942 |
+
"step": 7550
|
| 943 |
+
},
|
| 944 |
+
{
|
| 945 |
+
"epoch": 3.04,
|
| 946 |
+
"learning_rate": 0.0004999636444812977,
|
| 947 |
+
"loss": 0.2006,
|
| 948 |
+
"step": 7600
|
| 949 |
+
},
|
| 950 |
+
{
|
| 951 |
+
"epoch": 3.06,
|
| 952 |
+
"learning_rate": 0.0004999153074629148,
|
| 953 |
+
"loss": 0.2359,
|
| 954 |
+
"step": 7650
|
| 955 |
+
},
|
| 956 |
+
{
|
| 957 |
+
"epoch": 3.08,
|
| 958 |
+
"learning_rate": 0.0004998468353534468,
|
| 959 |
+
"loss": 0.1878,
|
| 960 |
+
"step": 7700
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 3.1,
|
| 964 |
+
"learning_rate": 0.0004997582336695312,
|
| 965 |
+
"loss": 0.2309,
|
| 966 |
+
"step": 7750
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 3.12,
|
| 970 |
+
"learning_rate": 0.0004996495095495983,
|
| 971 |
+
"loss": 0.2101,
|
| 972 |
+
"step": 7800
|
| 973 |
+
},
|
| 974 |
+
{
|
| 975 |
+
"epoch": 3.14,
|
| 976 |
+
"learning_rate": 0.0004995206717532957,
|
| 977 |
+
"loss": 0.2599,
|
| 978 |
+
"step": 7850
|
| 979 |
+
},
|
| 980 |
+
{
|
| 981 |
+
"epoch": 3.16,
|
| 982 |
+
"learning_rate": 0.0004993717306607832,
|
| 983 |
+
"loss": 0.2405,
|
| 984 |
+
"step": 7900
|
| 985 |
+
},
|
| 986 |
+
{
|
| 987 |
+
"epoch": 3.18,
|
| 988 |
+
"learning_rate": 0.0004992026982718955,
|
| 989 |
+
"loss": 0.2082,
|
| 990 |
+
"step": 7950
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 3.2,
|
| 994 |
+
"learning_rate": 0.0004990135882051766,
|
| 995 |
+
"loss": 0.2071,
|
| 996 |
+
"step": 8000
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 3.22,
|
| 1000 |
+
"learning_rate": 0.0004988044156967816,
|
| 1001 |
+
"loss": 0.1868,
|
| 1002 |
+
"step": 8050
|
| 1003 |
+
},
|
| 1004 |
+
{
|
| 1005 |
+
"epoch": 3.24,
|
| 1006 |
+
"learning_rate": 0.0004985751975992497,
|
| 1007 |
+
"loss": 0.2029,
|
| 1008 |
+
"step": 8100
|
| 1009 |
+
},
|
| 1010 |
+
{
|
| 1011 |
+
"epoch": 3.26,
|
| 1012 |
+
"learning_rate": 0.0004983259523801463,
|
| 1013 |
+
"loss": 0.2113,
|
| 1014 |
+
"step": 8150
|
| 1015 |
+
},
|
| 1016 |
+
{
|
| 1017 |
+
"epoch": 3.28,
|
| 1018 |
+
"learning_rate": 0.000498056700120575,
|
| 1019 |
+
"loss": 0.2172,
|
| 1020 |
+
"step": 8200
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 3.3,
|
| 1024 |
+
"learning_rate": 0.0004977674625135598,
|
| 1025 |
+
"loss": 0.1988,
|
| 1026 |
+
"step": 8250
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 3.32,
|
| 1030 |
+
"learning_rate": 0.0004974582628622975,
|
| 1031 |
+
"loss": 0.2154,
|
| 1032 |
+
"step": 8300
|
| 1033 |
+
},
|
| 1034 |
+
{
|
| 1035 |
+
"epoch": 3.34,
|
| 1036 |
+
"learning_rate": 0.0004971291260782797,
|
| 1037 |
+
"loss": 0.2122,
|
| 1038 |
+
"step": 8350
|
| 1039 |
+
},
|
| 1040 |
+
{
|
| 1041 |
+
"epoch": 3.36,
|
| 1042 |
+
"learning_rate": 0.0004967800786792866,
|
| 1043 |
+
"loss": 0.1891,
|
| 1044 |
+
"step": 8400
|
| 1045 |
+
},
|
| 1046 |
+
{
|
| 1047 |
+
"epoch": 3.38,
|
| 1048 |
+
"learning_rate": 0.0004964111487872495,
|
| 1049 |
+
"loss": 0.2461,
|
| 1050 |
+
"step": 8450
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 3.4,
|
| 1054 |
+
"learning_rate": 0.000496022366125986,
|
| 1055 |
+
"loss": 0.1967,
|
| 1056 |
+
"step": 8500
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 3.42,
|
| 1060 |
+
"learning_rate": 0.0004956137620188048,
|
| 1061 |
+
"loss": 0.2278,
|
| 1062 |
+
"step": 8550
|
| 1063 |
+
},
|
| 1064 |
+
{
|
| 1065 |
+
"epoch": 3.44,
|
| 1066 |
+
"learning_rate": 0.000495185369385982,
|
| 1067 |
+
"loss": 0.2029,
|
| 1068 |
+
"step": 8600
|
| 1069 |
+
},
|
| 1070 |
+
{
|
| 1071 |
+
"epoch": 3.46,
|
| 1072 |
+
"learning_rate": 0.0004947372227421084,
|
| 1073 |
+
"loss": 0.2094,
|
| 1074 |
+
"step": 8650
|
| 1075 |
+
},
|
| 1076 |
+
{
|
| 1077 |
+
"epoch": 3.48,
|
| 1078 |
+
"learning_rate": 0.0004942693581933101,
|
| 1079 |
+
"loss": 0.2701,
|
| 1080 |
+
"step": 8700
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 3.5,
|
| 1084 |
+
"learning_rate": 0.000493781813434338,
|
| 1085 |
+
"loss": 0.1984,
|
| 1086 |
+
"step": 8750
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 3.52,
|
| 1090 |
+
"learning_rate": 0.0004932746277455317,
|
| 1091 |
+
"loss": 0.2277,
|
| 1092 |
+
"step": 8800
|
| 1093 |
+
},
|
| 1094 |
+
{
|
| 1095 |
+
"epoch": 3.54,
|
| 1096 |
+
"learning_rate": 0.0004927478419896543,
|
| 1097 |
+
"loss": 0.1903,
|
| 1098 |
+
"step": 8850
|
| 1099 |
+
},
|
| 1100 |
+
{
|
| 1101 |
+
"epoch": 3.56,
|
| 1102 |
+
"learning_rate": 0.0004922014986086007,
|
| 1103 |
+
"loss": 0.1693,
|
| 1104 |
+
"step": 8900
|
| 1105 |
+
},
|
| 1106 |
+
{
|
| 1107 |
+
"epoch": 3.58,
|
| 1108 |
+
"learning_rate": 0.0004916356416199778,
|
| 1109 |
+
"loss": 0.2198,
|
| 1110 |
+
"step": 8950
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 3.6,
|
| 1114 |
+
"learning_rate": 0.0004910503166135578,
|
| 1115 |
+
"loss": 0.1728,
|
| 1116 |
+
"step": 9000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 3.62,
|
| 1120 |
+
"learning_rate": 0.000490445570747606,
|
| 1121 |
+
"loss": 0.2523,
|
| 1122 |
+
"step": 9050
|
| 1123 |
+
},
|
| 1124 |
+
{
|
| 1125 |
+
"epoch": 3.64,
|
| 1126 |
+
"learning_rate": 0.0004898214527450807,
|
| 1127 |
+
"loss": 0.2319,
|
| 1128 |
+
"step": 9100
|
| 1129 |
+
},
|
| 1130 |
+
{
|
| 1131 |
+
"epoch": 3.66,
|
| 1132 |
+
"learning_rate": 0.0004891910707082325,
|
| 1133 |
+
"loss": 0.2402,
|
| 1134 |
+
"step": 9150
|
| 1135 |
+
},
|
| 1136 |
+
{
|
| 1137 |
+
"epoch": 3.68,
|
| 1138 |
+
"learning_rate": 0.0004885287457226171,
|
| 1139 |
+
"loss": 0.1891,
|
| 1140 |
+
"step": 9200
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 3.7,
|
| 1144 |
+
"learning_rate": 0.00048784720303453175,
|
| 1145 |
+
"loss": 0.1828,
|
| 1146 |
+
"step": 9250
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 3.72,
|
| 1150 |
+
"learning_rate": 0.0004871464975542746,
|
| 1151 |
+
"loss": 0.2131,
|
| 1152 |
+
"step": 9300
|
| 1153 |
+
},
|
| 1154 |
+
{
|
| 1155 |
+
"epoch": 3.74,
|
| 1156 |
+
"learning_rate": 0.0004864266857360456,
|
| 1157 |
+
"loss": 0.1854,
|
| 1158 |
+
"step": 9350
|
| 1159 |
+
},
|
| 1160 |
+
{
|
| 1161 |
+
"epoch": 3.76,
|
| 1162 |
+
"learning_rate": 0.00048568782557339713,
|
| 1163 |
+
"loss": 0.1927,
|
| 1164 |
+
"step": 9400
|
| 1165 |
+
},
|
| 1166 |
+
{
|
| 1167 |
+
"epoch": 3.78,
|
| 1168 |
+
"learning_rate": 0.0004849299765945623,
|
| 1169 |
+
"loss": 0.206,
|
| 1170 |
+
"step": 9450
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 3.8,
|
| 1174 |
+
"learning_rate": 0.00048415319985765877,
|
| 1175 |
+
"loss": 0.2008,
|
| 1176 |
+
"step": 9500
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 3.82,
|
| 1180 |
+
"learning_rate": 0.0004833575579457691,
|
| 1181 |
+
"loss": 0.1961,
|
| 1182 |
+
"step": 9550
|
| 1183 |
+
},
|
| 1184 |
+
{
|
| 1185 |
+
"epoch": 3.84,
|
| 1186 |
+
"learning_rate": 0.000482543114961899,
|
| 1187 |
+
"loss": 0.1752,
|
| 1188 |
+
"step": 9600
|
| 1189 |
+
},
|
| 1190 |
+
{
|
| 1191 |
+
"epoch": 3.86,
|
| 1192 |
+
"learning_rate": 0.00048170993652381247,
|
| 1193 |
+
"loss": 0.1751,
|
| 1194 |
+
"step": 9650
|
| 1195 |
+
},
|
| 1196 |
+
{
|
| 1197 |
+
"epoch": 3.88,
|
| 1198 |
+
"learning_rate": 0.00048085808975874506,
|
| 1199 |
+
"loss": 0.2128,
|
| 1200 |
+
"step": 9700
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 3.9,
|
| 1204 |
+
"learning_rate": 0.000479987643297996,
|
| 1205 |
+
"loss": 0.188,
|
| 1206 |
+
"step": 9750
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 3.92,
|
| 1210 |
+
"learning_rate": 0.0004790986672713982,
|
| 1211 |
+
"loss": 0.227,
|
| 1212 |
+
"step": 9800
|
| 1213 |
+
},
|
| 1214 |
+
{
|
| 1215 |
+
"epoch": 3.94,
|
| 1216 |
+
"learning_rate": 0.0004781912333016683,
|
| 1217 |
+
"loss": 0.1947,
|
| 1218 |
+
"step": 9850
|
| 1219 |
+
},
|
| 1220 |
+
{
|
| 1221 |
+
"epoch": 3.96,
|
| 1222 |
+
"learning_rate": 0.00047726541449863636,
|
| 1223 |
+
"loss": 0.2057,
|
| 1224 |
+
"step": 9900
|
| 1225 |
+
},
|
| 1226 |
+
{
|
| 1227 |
+
"epoch": 3.98,
|
| 1228 |
+
"learning_rate": 0.00047632128545335527,
|
| 1229 |
+
"loss": 0.195,
|
| 1230 |
+
"step": 9950
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 4.0,
|
| 1234 |
+
"learning_rate": 0.0004753589222320913,
|
| 1235 |
+
"loss": 0.1996,
|
| 1236 |
+
"step": 10000
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 4.0,
|
| 1240 |
+
"eval_accuracy": 0.9246,
|
| 1241 |
+
"eval_loss": 0.2271093726158142,
|
| 1242 |
+
"eval_runtime": 132.5243,
|
| 1243 |
+
"eval_samples_per_second": 75.458,
|
| 1244 |
+
"eval_steps_per_second": 4.716,
|
| 1245 |
+
"step": 10000
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 4.02,
|
| 1249 |
+
"learning_rate": 0.00047437840237019567,
|
| 1250 |
+
"loss": 0.1785,
|
| 1251 |
+
"step": 10050
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 4.04,
|
| 1255 |
+
"learning_rate": 0.00047337980486585735,
|
| 1256 |
+
"loss": 0.2067,
|
| 1257 |
+
"step": 10100
|
| 1258 |
+
},
|
| 1259 |
+
{
|
| 1260 |
+
"epoch": 4.06,
|
| 1261 |
+
"learning_rate": 0.00047236321017373893,
|
| 1262 |
+
"loss": 0.1896,
|
| 1263 |
+
"step": 10150
|
| 1264 |
+
},
|
| 1265 |
+
{
|
| 1266 |
+
"epoch": 4.08,
|
| 1267 |
+
"learning_rate": 0.00047132870019849415,
|
| 1268 |
+
"loss": 0.1719,
|
| 1269 |
+
"step": 10200
|
| 1270 |
+
},
|
| 1271 |
+
{
|
| 1272 |
+
"epoch": 4.1,
|
| 1273 |
+
"learning_rate": 0.00047027635828816915,
|
| 1274 |
+
"loss": 0.1836,
|
| 1275 |
+
"step": 10250
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 4.12,
|
| 1279 |
+
"learning_rate": 0.0004692062692274873,
|
| 1280 |
+
"loss": 0.1785,
|
| 1281 |
+
"step": 10300
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 4.14,
|
| 1285 |
+
"learning_rate": 0.0004681185192310183,
|
| 1286 |
+
"loss": 0.2045,
|
| 1287 |
+
"step": 10350
|
| 1288 |
+
},
|
| 1289 |
+
{
|
| 1290 |
+
"epoch": 4.16,
|
| 1291 |
+
"learning_rate": 0.0004670131959362323,
|
| 1292 |
+
"loss": 0.175,
|
| 1293 |
+
"step": 10400
|
| 1294 |
+
},
|
| 1295 |
+
{
|
| 1296 |
+
"epoch": 4.18,
|
| 1297 |
+
"learning_rate": 0.00046589038839643865,
|
| 1298 |
+
"loss": 0.1609,
|
| 1299 |
+
"step": 10450
|
| 1300 |
+
},
|
| 1301 |
+
{
|
| 1302 |
+
"epoch": 4.2,
|
| 1303 |
+
"learning_rate": 0.0004647501870736115,
|
| 1304 |
+
"loss": 0.2075,
|
| 1305 |
+
"step": 10500
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 4.22,
|
| 1309 |
+
"learning_rate": 0.0004635926838311014,
|
| 1310 |
+
"loss": 0.1618,
|
| 1311 |
+
"step": 10550
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 4.24,
|
| 1315 |
+
"learning_rate": 0.0004624179719262341,
|
| 1316 |
+
"loss": 0.2275,
|
| 1317 |
+
"step": 10600
|
| 1318 |
+
},
|
| 1319 |
+
{
|
| 1320 |
+
"epoch": 4.26,
|
| 1321 |
+
"learning_rate": 0.0004612261460027968,
|
| 1322 |
+
"loss": 0.1881,
|
| 1323 |
+
"step": 10650
|
| 1324 |
+
},
|
| 1325 |
+
{
|
| 1326 |
+
"epoch": 4.28,
|
| 1327 |
+
"learning_rate": 0.0004600173020834132,
|
| 1328 |
+
"loss": 0.1863,
|
| 1329 |
+
"step": 10700
|
| 1330 |
+
},
|
| 1331 |
+
{
|
| 1332 |
+
"epoch": 4.3,
|
| 1333 |
+
"learning_rate": 0.00045879153756180714,
|
| 1334 |
+
"loss": 0.1765,
|
| 1335 |
+
"step": 10750
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 4.32,
|
| 1339 |
+
"learning_rate": 0.00045754895119495576,
|
| 1340 |
+
"loss": 0.1964,
|
| 1341 |
+
"step": 10800
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 4.34,
|
| 1345 |
+
"learning_rate": 0.00045628964309513267,
|
| 1346 |
+
"loss": 0.2081,
|
| 1347 |
+
"step": 10850
|
| 1348 |
+
},
|
| 1349 |
+
{
|
| 1350 |
+
"epoch": 4.36,
|
| 1351 |
+
"learning_rate": 0.00045501371472184257,
|
| 1352 |
+
"loss": 0.1695,
|
| 1353 |
+
"step": 10900
|
| 1354 |
+
},
|
| 1355 |
+
{
|
| 1356 |
+
"epoch": 4.38,
|
| 1357 |
+
"learning_rate": 0.0004537212688736466,
|
| 1358 |
+
"loss": 0.2042,
|
| 1359 |
+
"step": 10950
|
| 1360 |
+
},
|
| 1361 |
+
{
|
| 1362 |
+
"epoch": 4.4,
|
| 1363 |
+
"learning_rate": 0.00045241240967988015,
|
| 1364 |
+
"loss": 0.2003,
|
| 1365 |
+
"step": 11000
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 4.42,
|
| 1369 |
+
"learning_rate": 0.0004510872425922635,
|
| 1370 |
+
"loss": 0.2015,
|
| 1371 |
+
"step": 11050
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 4.44,
|
| 1375 |
+
"learning_rate": 0.0004497458743764057,
|
| 1376 |
+
"loss": 0.1409,
|
| 1377 |
+
"step": 11100
|
| 1378 |
+
},
|
| 1379 |
+
{
|
| 1380 |
+
"epoch": 4.46,
|
| 1381 |
+
"learning_rate": 0.00044838841310320266,
|
| 1382 |
+
"loss": 0.1446,
|
| 1383 |
+
"step": 11150
|
| 1384 |
+
},
|
| 1385 |
+
{
|
| 1386 |
+
"epoch": 4.48,
|
| 1387 |
+
"learning_rate": 0.0004470149681401305,
|
| 1388 |
+
"loss": 0.1834,
|
| 1389 |
+
"step": 11200
|
| 1390 |
+
},
|
| 1391 |
+
{
|
| 1392 |
+
"epoch": 4.5,
|
| 1393 |
+
"learning_rate": 0.0004456256501424335,
|
| 1394 |
+
"loss": 0.1908,
|
| 1395 |
+
"step": 11250
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 4.52,
|
| 1399 |
+
"learning_rate": 0.0004442205710442094,
|
| 1400 |
+
"loss": 0.1727,
|
| 1401 |
+
"step": 11300
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 4.54,
|
| 1405 |
+
"learning_rate": 0.0004427998440493908,
|
| 1406 |
+
"loss": 0.1853,
|
| 1407 |
+
"step": 11350
|
| 1408 |
+
},
|
| 1409 |
+
{
|
| 1410 |
+
"epoch": 4.56,
|
| 1411 |
+
"learning_rate": 0.00044139246031239603,
|
| 1412 |
+
"loss": 0.2239,
|
| 1413 |
+
"step": 11400
|
| 1414 |
+
},
|
| 1415 |
+
{
|
| 1416 |
+
"epoch": 4.58,
|
| 1417 |
+
"learning_rate": 0.0004399410893820698,
|
| 1418 |
+
"loss": 0.1986,
|
| 1419 |
+
"step": 11450
|
| 1420 |
+
},
|
| 1421 |
+
{
|
| 1422 |
+
"epoch": 4.6,
|
| 1423 |
+
"learning_rate": 0.00043847441534296505,
|
| 1424 |
+
"loss": 0.1802,
|
| 1425 |
+
"step": 11500
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 4.62,
|
| 1429 |
+
"learning_rate": 0.00043699255636157463,
|
| 1430 |
+
"loss": 0.1795,
|
| 1431 |
+
"step": 11550
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 4.64,
|
| 1435 |
+
"learning_rate": 0.0004354956318278065,
|
| 1436 |
+
"loss": 0.1828,
|
| 1437 |
+
"step": 11600
|
| 1438 |
+
},
|
| 1439 |
+
{
|
| 1440 |
+
"epoch": 4.66,
|
| 1441 |
+
"learning_rate": 0.000433983762345365,
|
| 1442 |
+
"loss": 0.1806,
|
| 1443 |
+
"step": 11650
|
| 1444 |
+
},
|
| 1445 |
+
{
|
| 1446 |
+
"epoch": 4.68,
|
| 1447 |
+
"learning_rate": 0.00043245706972203383,
|
| 1448 |
+
"loss": 0.1666,
|
| 1449 |
+
"step": 11700
|
| 1450 |
+
},
|
| 1451 |
+
{
|
| 1452 |
+
"epoch": 4.7,
|
| 1453 |
+
"learning_rate": 0.00043091567695986265,
|
| 1454 |
+
"loss": 0.1972,
|
| 1455 |
+
"step": 11750
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 4.72,
|
| 1459 |
+
"learning_rate": 0.0004293597082452566,
|
| 1460 |
+
"loss": 0.1707,
|
| 1461 |
+
"step": 11800
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 4.74,
|
| 1465 |
+
"learning_rate": 0.0004277892889389715,
|
| 1466 |
+
"loss": 0.1942,
|
| 1467 |
+
"step": 11850
|
| 1468 |
+
},
|
| 1469 |
+
{
|
| 1470 |
+
"epoch": 4.76,
|
| 1471 |
+
"learning_rate": 0.0004262045455660132,
|
| 1472 |
+
"loss": 0.192,
|
| 1473 |
+
"step": 11900
|
| 1474 |
+
},
|
| 1475 |
+
{
|
| 1476 |
+
"epoch": 4.78,
|
| 1477 |
+
"learning_rate": 0.0004246056058054444,
|
| 1478 |
+
"loss": 0.2138,
|
| 1479 |
+
"step": 11950
|
| 1480 |
+
},
|
| 1481 |
+
{
|
| 1482 |
+
"epoch": 4.8,
|
| 1483 |
+
"learning_rate": 0.000422992598480097,
|
| 1484 |
+
"loss": 0.2031,
|
| 1485 |
+
"step": 12000
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 4.82,
|
| 1489 |
+
"learning_rate": 0.0004213656535461942,
|
| 1490 |
+
"loss": 0.1608,
|
| 1491 |
+
"step": 12050
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 4.84,
|
| 1495 |
+
"learning_rate": 0.0004197249020828794,
|
| 1496 |
+
"loss": 0.2179,
|
| 1497 |
+
"step": 12100
|
| 1498 |
+
},
|
| 1499 |
+
{
|
| 1500 |
+
"epoch": 4.86,
|
| 1501 |
+
"learning_rate": 0.00041807047628165576,
|
| 1502 |
+
"loss": 0.2141,
|
| 1503 |
+
"step": 12150
|
| 1504 |
+
},
|
| 1505 |
+
{
|
| 1506 |
+
"epoch": 4.88,
|
| 1507 |
+
"learning_rate": 0.00041640250943573574,
|
| 1508 |
+
"loss": 0.187,
|
| 1509 |
+
"step": 12200
|
| 1510 |
+
},
|
| 1511 |
+
{
|
| 1512 |
+
"epoch": 4.9,
|
| 1513 |
+
"learning_rate": 0.0004147211359293023,
|
| 1514 |
+
"loss": 0.1854,
|
| 1515 |
+
"step": 12250
|
| 1516 |
+
},
|
| 1517 |
+
{
|
| 1518 |
+
"epoch": 4.92,
|
| 1519 |
+
"learning_rate": 0.00041302649122668155,
|
| 1520 |
+
"loss": 0.1687,
|
| 1521 |
+
"step": 12300
|
| 1522 |
+
},
|
| 1523 |
+
{
|
| 1524 |
+
"epoch": 4.94,
|
| 1525 |
+
"learning_rate": 0.00041131871186142867,
|
| 1526 |
+
"loss": 0.1844,
|
| 1527 |
+
"step": 12350
|
| 1528 |
+
},
|
| 1529 |
+
{
|
| 1530 |
+
"epoch": 4.96,
|
| 1531 |
+
"learning_rate": 0.00040959793542532784,
|
| 1532 |
+
"loss": 0.2203,
|
| 1533 |
+
"step": 12400
|
| 1534 |
+
},
|
| 1535 |
+
{
|
| 1536 |
+
"epoch": 4.98,
|
| 1537 |
+
"learning_rate": 0.0004078643005573071,
|
| 1538 |
+
"loss": 0.1733,
|
| 1539 |
+
"step": 12450
|
| 1540 |
+
},
|
| 1541 |
+
{
|
| 1542 |
+
"epoch": 5.0,
|
| 1543 |
+
"learning_rate": 0.00040611794693226795,
|
| 1544 |
+
"loss": 0.1845,
|
| 1545 |
+
"step": 12500
|
| 1546 |
+
},
|
| 1547 |
+
{
|
| 1548 |
+
"epoch": 5.0,
|
| 1549 |
+
"eval_accuracy": 0.9269,
|
| 1550 |
+
"eval_loss": 0.21157951653003693,
|
| 1551 |
+
"eval_runtime": 132.481,
|
| 1552 |
+
"eval_samples_per_second": 75.483,
|
| 1553 |
+
"eval_steps_per_second": 4.718,
|
| 1554 |
+
"step": 12500
|
| 1555 |
+
},
|
| 1556 |
+
{
|
| 1557 |
+
"epoch": 5.02,
|
| 1558 |
+
"learning_rate": 0.00040435901524983245,
|
| 1559 |
+
"loss": 0.1696,
|
| 1560 |
+
"step": 12550
|
| 1561 |
+
},
|
| 1562 |
+
{
|
| 1563 |
+
"epoch": 5.04,
|
| 1564 |
+
"learning_rate": 0.00040258764722300727,
|
| 1565 |
+
"loss": 0.1566,
|
| 1566 |
+
"step": 12600
|
| 1567 |
+
},
|
| 1568 |
+
{
|
| 1569 |
+
"epoch": 5.06,
|
| 1570 |
+
"learning_rate": 0.00040080398556676625,
|
| 1571 |
+
"loss": 0.1533,
|
| 1572 |
+
"step": 12650
|
| 1573 |
+
},
|
| 1574 |
+
{
|
| 1575 |
+
"epoch": 5.08,
|
| 1576 |
+
"learning_rate": 0.00039900817398655223,
|
| 1577 |
+
"loss": 0.1357,
|
| 1578 |
+
"step": 12700
|
| 1579 |
+
},
|
| 1580 |
+
{
|
| 1581 |
+
"epoch": 5.1,
|
| 1582 |
+
"learning_rate": 0.0003972003571666988,
|
| 1583 |
+
"loss": 0.1493,
|
| 1584 |
+
"step": 12750
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"epoch": 5.12,
|
| 1588 |
+
"learning_rate": 0.00039538068075877376,
|
| 1589 |
+
"loss": 0.2111,
|
| 1590 |
+
"step": 12800
|
| 1591 |
+
},
|
| 1592 |
+
{
|
| 1593 |
+
"epoch": 5.14,
|
| 1594 |
+
"learning_rate": 0.0003935492913698441,
|
| 1595 |
+
"loss": 0.1651,
|
| 1596 |
+
"step": 12850
|
| 1597 |
+
},
|
| 1598 |
+
{
|
| 1599 |
+
"epoch": 5.16,
|
| 1600 |
+
"learning_rate": 0.00039170633655066415,
|
| 1601 |
+
"loss": 0.1535,
|
| 1602 |
+
"step": 12900
|
| 1603 |
+
},
|
| 1604 |
+
{
|
| 1605 |
+
"epoch": 5.18,
|
| 1606 |
+
"learning_rate": 0.000389851964783788,
|
| 1607 |
+
"loss": 0.1618,
|
| 1608 |
+
"step": 12950
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"epoch": 5.2,
|
| 1612 |
+
"learning_rate": 0.00038798632547160653,
|
| 1613 |
+
"loss": 0.1672,
|
| 1614 |
+
"step": 13000
|
| 1615 |
+
},
|
| 1616 |
+
{
|
| 1617 |
+
"epoch": 5.22,
|
| 1618 |
+
"learning_rate": 0.00038610956892431015,
|
| 1619 |
+
"loss": 0.1675,
|
| 1620 |
+
"step": 13050
|
| 1621 |
+
},
|
| 1622 |
+
{
|
| 1623 |
+
"epoch": 5.24,
|
| 1624 |
+
"learning_rate": 0.0003842218463477791,
|
| 1625 |
+
"loss": 0.1482,
|
| 1626 |
+
"step": 13100
|
| 1627 |
+
},
|
| 1628 |
+
{
|
| 1629 |
+
"epoch": 5.26,
|
| 1630 |
+
"learning_rate": 0.0003823233098314008,
|
| 1631 |
+
"loss": 0.1637,
|
| 1632 |
+
"step": 13150
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"epoch": 5.28,
|
| 1636 |
+
"learning_rate": 0.00038041411233581636,
|
| 1637 |
+
"loss": 0.1497,
|
| 1638 |
+
"step": 13200
|
| 1639 |
+
},
|
| 1640 |
+
{
|
| 1641 |
+
"epoch": 5.3,
|
| 1642 |
+
"learning_rate": 0.0003784944076805974,
|
| 1643 |
+
"loss": 0.1742,
|
| 1644 |
+
"step": 13250
|
| 1645 |
+
},
|
| 1646 |
+
{
|
| 1647 |
+
"epoch": 5.32,
|
| 1648 |
+
"learning_rate": 0.00037656435053185226,
|
| 1649 |
+
"loss": 0.1357,
|
| 1650 |
+
"step": 13300
|
| 1651 |
+
},
|
| 1652 |
+
{
|
| 1653 |
+
"epoch": 5.34,
|
| 1654 |
+
"learning_rate": 0.0003746240963897659,
|
| 1655 |
+
"loss": 0.1938,
|
| 1656 |
+
"step": 13350
|
| 1657 |
+
},
|
| 1658 |
+
{
|
| 1659 |
+
"epoch": 5.36,
|
| 1660 |
+
"learning_rate": 0.000372673801576071,
|
| 1661 |
+
"loss": 0.1506,
|
| 1662 |
+
"step": 13400
|
| 1663 |
+
},
|
| 1664 |
+
{
|
| 1665 |
+
"epoch": 5.38,
|
| 1666 |
+
"learning_rate": 0.0003707136232214534,
|
| 1667 |
+
"loss": 0.1912,
|
| 1668 |
+
"step": 13450
|
| 1669 |
+
},
|
| 1670 |
+
{
|
| 1671 |
+
"epoch": 5.4,
|
| 1672 |
+
"learning_rate": 0.0003687437192528932,
|
| 1673 |
+
"loss": 0.1429,
|
| 1674 |
+
"step": 13500
|
| 1675 |
+
},
|
| 1676 |
+
{
|
| 1677 |
+
"epoch": 5.42,
|
| 1678 |
+
"learning_rate": 0.0003667642483809398,
|
| 1679 |
+
"loss": 0.1579,
|
| 1680 |
+
"step": 13550
|
| 1681 |
+
},
|
| 1682 |
+
{
|
| 1683 |
+
"epoch": 5.44,
|
| 1684 |
+
"learning_rate": 0.0003647753700869262,
|
| 1685 |
+
"loss": 0.1754,
|
| 1686 |
+
"step": 13600
|
| 1687 |
+
},
|
| 1688 |
+
{
|
| 1689 |
+
"epoch": 5.46,
|
| 1690 |
+
"learning_rate": 0.00036277724461011905,
|
| 1691 |
+
"loss": 0.1572,
|
| 1692 |
+
"step": 13650
|
| 1693 |
+
},
|
| 1694 |
+
{
|
| 1695 |
+
"epoch": 5.48,
|
| 1696 |
+
"learning_rate": 0.0003607700329348088,
|
| 1697 |
+
"loss": 0.1964,
|
| 1698 |
+
"step": 13700
|
| 1699 |
+
},
|
| 1700 |
+
{
|
| 1701 |
+
"epoch": 5.5,
|
| 1702 |
+
"learning_rate": 0.00035875389677734,
|
| 1703 |
+
"loss": 0.1813,
|
| 1704 |
+
"step": 13750
|
| 1705 |
+
},
|
| 1706 |
+
{
|
| 1707 |
+
"epoch": 5.52,
|
| 1708 |
+
"learning_rate": 0.0003567289985730813,
|
| 1709 |
+
"loss": 0.1673,
|
| 1710 |
+
"step": 13800
|
| 1711 |
+
},
|
| 1712 |
+
{
|
| 1713 |
+
"epoch": 5.54,
|
| 1714 |
+
"learning_rate": 0.00035469550146333947,
|
| 1715 |
+
"loss": 0.1418,
|
| 1716 |
+
"step": 13850
|
| 1717 |
+
},
|
| 1718 |
+
{
|
| 1719 |
+
"epoch": 5.56,
|
| 1720 |
+
"learning_rate": 0.0003526535692822146,
|
| 1721 |
+
"loss": 0.1536,
|
| 1722 |
+
"step": 13900
|
| 1723 |
+
},
|
| 1724 |
+
{
|
| 1725 |
+
"epoch": 5.58,
|
| 1726 |
+
"learning_rate": 0.0003506033665434007,
|
| 1727 |
+
"loss": 0.1923,
|
| 1728 |
+
"step": 13950
|
| 1729 |
+
},
|
| 1730 |
+
{
|
| 1731 |
+
"epoch": 5.6,
|
| 1732 |
+
"learning_rate": 0.0003485450584269317,
|
| 1733 |
+
"loss": 0.1772,
|
| 1734 |
+
"step": 14000
|
| 1735 |
+
},
|
| 1736 |
+
{
|
| 1737 |
+
"epoch": 5.62,
|
| 1738 |
+
"learning_rate": 0.0003464788107658724,
|
| 1739 |
+
"loss": 0.152,
|
| 1740 |
+
"step": 14050
|
| 1741 |
+
},
|
| 1742 |
+
{
|
| 1743 |
+
"epoch": 5.64,
|
| 1744 |
+
"learning_rate": 0.000344446345543944,
|
| 1745 |
+
"loss": 0.1638,
|
| 1746 |
+
"step": 14100
|
| 1747 |
+
},
|
| 1748 |
+
{
|
| 1749 |
+
"epoch": 5.66,
|
| 1750 |
+
"learning_rate": 0.00034236486931606976,
|
| 1751 |
+
"loss": 0.195,
|
| 1752 |
+
"step": 14150
|
| 1753 |
+
},
|
| 1754 |
+
{
|
| 1755 |
+
"epoch": 5.68,
|
| 1756 |
+
"learning_rate": 0.00034027595146696936,
|
| 1757 |
+
"loss": 0.1738,
|
| 1758 |
+
"step": 14200
|
| 1759 |
+
},
|
| 1760 |
+
{
|
| 1761 |
+
"epoch": 5.7,
|
| 1762 |
+
"learning_rate": 0.0003381797602958623,
|
| 1763 |
+
"loss": 0.1539,
|
| 1764 |
+
"step": 14250
|
| 1765 |
+
},
|
| 1766 |
+
{
|
| 1767 |
+
"epoch": 5.72,
|
| 1768 |
+
"learning_rate": 0.00033607646468796263,
|
| 1769 |
+
"loss": 0.1749,
|
| 1770 |
+
"step": 14300
|
| 1771 |
+
},
|
| 1772 |
+
{
|
| 1773 |
+
"epoch": 5.74,
|
| 1774 |
+
"learning_rate": 0.0003339662341008717,
|
| 1775 |
+
"loss": 0.1713,
|
| 1776 |
+
"step": 14350
|
| 1777 |
+
},
|
| 1778 |
+
{
|
| 1779 |
+
"epoch": 5.76,
|
| 1780 |
+
"learning_rate": 0.0003318492385509267,
|
| 1781 |
+
"loss": 0.151,
|
| 1782 |
+
"step": 14400
|
| 1783 |
+
},
|
| 1784 |
+
{
|
| 1785 |
+
"epoch": 5.78,
|
| 1786 |
+
"learning_rate": 0.00032972564859950137,
|
| 1787 |
+
"loss": 0.1818,
|
| 1788 |
+
"step": 14450
|
| 1789 |
+
},
|
| 1790 |
+
{
|
| 1791 |
+
"epoch": 5.8,
|
| 1792 |
+
"learning_rate": 0.0003275956353392653,
|
| 1793 |
+
"loss": 0.1499,
|
| 1794 |
+
"step": 14500
|
| 1795 |
+
},
|
| 1796 |
+
{
|
| 1797 |
+
"epoch": 5.82,
|
| 1798 |
+
"learning_rate": 0.00032545937038039904,
|
| 1799 |
+
"loss": 0.1601,
|
| 1800 |
+
"step": 14550
|
| 1801 |
+
},
|
| 1802 |
+
{
|
| 1803 |
+
"epoch": 5.84,
|
| 1804 |
+
"learning_rate": 0.00032331702583676745,
|
| 1805 |
+
"loss": 0.1754,
|
| 1806 |
+
"step": 14600
|
| 1807 |
+
},
|
| 1808 |
+
{
|
| 1809 |
+
"epoch": 5.86,
|
| 1810 |
+
"learning_rate": 0.0003211687743120539,
|
| 1811 |
+
"loss": 0.1466,
|
| 1812 |
+
"step": 14650
|
| 1813 |
+
},
|
| 1814 |
+
{
|
| 1815 |
+
"epoch": 5.88,
|
| 1816 |
+
"learning_rate": 0.0003190147888858529,
|
| 1817 |
+
"loss": 0.1606,
|
| 1818 |
+
"step": 14700
|
| 1819 |
+
},
|
| 1820 |
+
{
|
| 1821 |
+
"epoch": 5.9,
|
| 1822 |
+
"learning_rate": 0.0003168552430997262,
|
| 1823 |
+
"loss": 0.1654,
|
| 1824 |
+
"step": 14750
|
| 1825 |
+
},
|
| 1826 |
+
{
|
| 1827 |
+
"epoch": 5.92,
|
| 1828 |
+
"learning_rate": 0.0003146903109432208,
|
| 1829 |
+
"loss": 0.166,
|
| 1830 |
+
"step": 14800
|
| 1831 |
+
},
|
| 1832 |
+
{
|
| 1833 |
+
"epoch": 5.94,
|
| 1834 |
+
"learning_rate": 0.0003125201668398506,
|
| 1835 |
+
"loss": 0.1513,
|
| 1836 |
+
"step": 14850
|
| 1837 |
+
},
|
| 1838 |
+
{
|
| 1839 |
+
"epoch": 5.96,
|
| 1840 |
+
"learning_rate": 0.0003103449856330443,
|
| 1841 |
+
"loss": 0.1736,
|
| 1842 |
+
"step": 14900
|
| 1843 |
+
},
|
| 1844 |
+
{
|
| 1845 |
+
"epoch": 5.98,
|
| 1846 |
+
"learning_rate": 0.0003081649425720579,
|
| 1847 |
+
"loss": 0.2036,
|
| 1848 |
+
"step": 14950
|
| 1849 |
+
},
|
| 1850 |
+
{
|
| 1851 |
+
"epoch": 6.0,
|
| 1852 |
+
"learning_rate": 0.0003059802132978558,
|
| 1853 |
+
"loss": 0.205,
|
| 1854 |
+
"step": 15000
|
| 1855 |
+
},
|
| 1856 |
+
{
|
| 1857 |
+
"epoch": 6.0,
|
| 1858 |
+
"eval_accuracy": 0.9312,
|
| 1859 |
+
"eval_loss": 0.19459494948387146,
|
| 1860 |
+
"eval_runtime": 132.3124,
|
| 1861 |
+
"eval_samples_per_second": 75.579,
|
| 1862 |
+
"eval_steps_per_second": 4.724,
|
| 1863 |
+
"step": 15000
|
| 1864 |
+
},
|
| 1865 |
+
{
|
| 1866 |
+
"epoch": 6.02,
|
| 1867 |
+
"learning_rate": 0.00030379097382895955,
|
| 1868 |
+
"loss": 0.1528,
|
| 1869 |
+
"step": 15050
|
| 1870 |
+
},
|
| 1871 |
+
{
|
| 1872 |
+
"epoch": 6.04,
|
| 1873 |
+
"learning_rate": 0.0003015974005472664,
|
| 1874 |
+
"loss": 0.1183,
|
| 1875 |
+
"step": 15100
|
| 1876 |
+
},
|
| 1877 |
+
{
|
| 1878 |
+
"epoch": 6.06,
|
| 1879 |
+
"learning_rate": 0.0002993996701838391,
|
| 1880 |
+
"loss": 0.1508,
|
| 1881 |
+
"step": 15150
|
| 1882 |
+
},
|
| 1883 |
+
{
|
| 1884 |
+
"epoch": 6.08,
|
| 1885 |
+
"learning_rate": 0.0002971979598046662,
|
| 1886 |
+
"loss": 0.1454,
|
| 1887 |
+
"step": 15200
|
| 1888 |
+
},
|
| 1889 |
+
{
|
| 1890 |
+
"epoch": 6.1,
|
| 1891 |
+
"learning_rate": 0.00029499244679639746,
|
| 1892 |
+
"loss": 0.1068,
|
| 1893 |
+
"step": 15250
|
| 1894 |
+
},
|
| 1895 |
+
{
|
| 1896 |
+
"epoch": 6.12,
|
| 1897 |
+
"learning_rate": 0.000292783308852051,
|
| 1898 |
+
"loss": 0.1451,
|
| 1899 |
+
"step": 15300
|
| 1900 |
+
},
|
| 1901 |
+
{
|
| 1902 |
+
"epoch": 6.14,
|
| 1903 |
+
"learning_rate": 0.0002905707239566978,
|
| 1904 |
+
"loss": 0.1349,
|
| 1905 |
+
"step": 15350
|
| 1906 |
+
},
|
| 1907 |
+
{
|
| 1908 |
+
"epoch": 6.16,
|
| 1909 |
+
"learning_rate": 0.00028835487037312155,
|
| 1910 |
+
"loss": 0.1293,
|
| 1911 |
+
"step": 15400
|
| 1912 |
+
},
|
| 1913 |
+
{
|
| 1914 |
+
"epoch": 6.18,
|
| 1915 |
+
"learning_rate": 0.00028613592662745665,
|
| 1916 |
+
"loss": 0.1029,
|
| 1917 |
+
"step": 15450
|
| 1918 |
+
},
|
| 1919 |
+
{
|
| 1920 |
+
"epoch": 6.2,
|
| 1921 |
+
"learning_rate": 0.0002839140714948043,
|
| 1922 |
+
"loss": 0.1677,
|
| 1923 |
+
"step": 15500
|
| 1924 |
+
},
|
| 1925 |
+
{
|
| 1926 |
+
"epoch": 6.22,
|
| 1927 |
+
"learning_rate": 0.0002816894839848297,
|
| 1928 |
+
"loss": 0.137,
|
| 1929 |
+
"step": 15550
|
| 1930 |
+
},
|
| 1931 |
+
{
|
| 1932 |
+
"epoch": 6.24,
|
| 1933 |
+
"learning_rate": 0.000279462343327339,
|
| 1934 |
+
"loss": 0.1447,
|
| 1935 |
+
"step": 15600
|
| 1936 |
+
},
|
| 1937 |
+
{
|
| 1938 |
+
"epoch": 6.26,
|
| 1939 |
+
"learning_rate": 0.00027723282895783963,
|
| 1940 |
+
"loss": 0.1268,
|
| 1941 |
+
"step": 15650
|
| 1942 |
+
},
|
| 1943 |
+
{
|
| 1944 |
+
"epoch": 6.28,
|
| 1945 |
+
"learning_rate": 0.0002750011205030834,
|
| 1946 |
+
"loss": 0.1075,
|
| 1947 |
+
"step": 15700
|
| 1948 |
+
},
|
| 1949 |
+
{
|
| 1950 |
+
"epoch": 6.3,
|
| 1951 |
+
"learning_rate": 0.00027276739776659444,
|
| 1952 |
+
"loss": 0.2144,
|
| 1953 |
+
"step": 15750
|
| 1954 |
+
},
|
| 1955 |
+
{
|
| 1956 |
+
"epoch": 6.32,
|
| 1957 |
+
"learning_rate": 0.00027053184071418275,
|
| 1958 |
+
"loss": 0.1229,
|
| 1959 |
+
"step": 15800
|
| 1960 |
+
},
|
| 1961 |
+
{
|
| 1962 |
+
"epoch": 6.34,
|
| 1963 |
+
"learning_rate": 0.00026829462945944505,
|
| 1964 |
+
"loss": 0.1633,
|
| 1965 |
+
"step": 15850
|
| 1966 |
+
},
|
| 1967 |
+
{
|
| 1968 |
+
"epoch": 6.36,
|
| 1969 |
+
"learning_rate": 0.0002660559442492531,
|
| 1970 |
+
"loss": 0.1457,
|
| 1971 |
+
"step": 15900
|
| 1972 |
+
},
|
| 1973 |
+
{
|
| 1974 |
+
"epoch": 6.38,
|
| 1975 |
+
"learning_rate": 0.0002638159654492318,
|
| 1976 |
+
"loss": 0.1168,
|
| 1977 |
+
"step": 15950
|
| 1978 |
+
},
|
| 1979 |
+
{
|
| 1980 |
+
"epoch": 6.4,
|
| 1981 |
+
"learning_rate": 0.00026157487352922783,
|
| 1982 |
+
"loss": 0.1294,
|
| 1983 |
+
"step": 16000
|
| 1984 |
+
},
|
| 1985 |
+
{
|
| 1986 |
+
"epoch": 6.42,
|
| 1987 |
+
"learning_rate": 0.0002593328490487688,
|
| 1988 |
+
"loss": 0.1347,
|
| 1989 |
+
"step": 16050
|
| 1990 |
+
},
|
| 1991 |
+
{
|
| 1992 |
+
"epoch": 6.44,
|
| 1993 |
+
"learning_rate": 0.0002570900726425172,
|
| 1994 |
+
"loss": 0.1396,
|
| 1995 |
+
"step": 16100
|
| 1996 |
+
},
|
| 1997 |
+
{
|
| 1998 |
+
"epoch": 6.46,
|
| 1999 |
+
"learning_rate": 0.00025484672500571576,
|
| 2000 |
+
"loss": 0.1444,
|
| 2001 |
+
"step": 16150
|
| 2002 |
+
},
|
| 2003 |
+
{
|
| 2004 |
+
"epoch": 6.48,
|
| 2005 |
+
"learning_rate": 0.0002526029868796305,
|
| 2006 |
+
"loss": 0.1418,
|
| 2007 |
+
"step": 16200
|
| 2008 |
+
},
|
| 2009 |
+
{
|
| 2010 |
+
"epoch": 6.5,
|
| 2011 |
+
"learning_rate": 0.00025035903903698785,
|
| 2012 |
+
"loss": 0.1275,
|
| 2013 |
+
"step": 16250
|
| 2014 |
+
},
|
| 2015 |
+
{
|
| 2016 |
+
"epoch": 6.52,
|
| 2017 |
+
"learning_rate": 0.00024811506226741077,
|
| 2018 |
+
"loss": 0.131,
|
| 2019 |
+
"step": 16300
|
| 2020 |
+
},
|
| 2021 |
+
{
|
| 2022 |
+
"epoch": 6.54,
|
| 2023 |
+
"learning_rate": 0.000245916111203349,
|
| 2024 |
+
"loss": 0.0828,
|
| 2025 |
+
"step": 16350
|
| 2026 |
+
},
|
| 2027 |
+
{
|
| 2028 |
+
"epoch": 6.56,
|
| 2029 |
+
"learning_rate": 0.00024367261051914146,
|
| 2030 |
+
"loss": 0.1857,
|
| 2031 |
+
"step": 16400
|
| 2032 |
+
},
|
| 2033 |
+
{
|
| 2034 |
+
"epoch": 6.58,
|
| 2035 |
+
"learning_rate": 0.00024142961961788734,
|
| 2036 |
+
"loss": 0.1173,
|
| 2037 |
+
"step": 16450
|
| 2038 |
+
},
|
| 2039 |
+
{
|
| 2040 |
+
"epoch": 6.6,
|
| 2041 |
+
"learning_rate": 0.000239187319212111,
|
| 2042 |
+
"loss": 0.1757,
|
| 2043 |
+
"step": 16500
|
| 2044 |
+
},
|
| 2045 |
+
{
|
| 2046 |
+
"epoch": 6.62,
|
| 2047 |
+
"learning_rate": 0.0002369458899587052,
|
| 2048 |
+
"loss": 0.1108,
|
| 2049 |
+
"step": 16550
|
| 2050 |
+
},
|
| 2051 |
+
{
|
| 2052 |
+
"epoch": 6.64,
|
| 2053 |
+
"learning_rate": 0.00023470551244437603,
|
| 2054 |
+
"loss": 0.1178,
|
| 2055 |
+
"step": 16600
|
| 2056 |
+
},
|
| 2057 |
+
{
|
| 2058 |
+
"epoch": 6.66,
|
| 2059 |
+
"learning_rate": 0.00023246636717109357,
|
| 2060 |
+
"loss": 0.1566,
|
| 2061 |
+
"step": 16650
|
| 2062 |
+
},
|
| 2063 |
+
{
|
| 2064 |
+
"epoch": 6.68,
|
| 2065 |
+
"learning_rate": 0.0002302286345415488,
|
| 2066 |
+
"loss": 0.1369,
|
| 2067 |
+
"step": 16700
|
| 2068 |
+
},
|
| 2069 |
+
{
|
| 2070 |
+
"epoch": 6.7,
|
| 2071 |
+
"learning_rate": 0.00022799249484461954,
|
| 2072 |
+
"loss": 0.1529,
|
| 2073 |
+
"step": 16750
|
| 2074 |
+
},
|
| 2075 |
+
{
|
| 2076 |
+
"epoch": 6.72,
|
| 2077 |
+
"learning_rate": 0.0002257581282408449,
|
| 2078 |
+
"loss": 0.1445,
|
| 2079 |
+
"step": 16800
|
| 2080 |
+
},
|
| 2081 |
+
{
|
| 2082 |
+
"epoch": 6.74,
|
| 2083 |
+
"learning_rate": 0.00022352571474790954,
|
| 2084 |
+
"loss": 0.1802,
|
| 2085 |
+
"step": 16850
|
| 2086 |
+
},
|
| 2087 |
+
{
|
| 2088 |
+
"epoch": 6.76,
|
| 2089 |
+
"learning_rate": 0.000221295434226141,
|
| 2090 |
+
"loss": 0.1218,
|
| 2091 |
+
"step": 16900
|
| 2092 |
+
},
|
| 2093 |
+
{
|
| 2094 |
+
"epoch": 6.78,
|
| 2095 |
+
"learning_rate": 0.00021906746636401824,
|
| 2096 |
+
"loss": 0.1158,
|
| 2097 |
+
"step": 16950
|
| 2098 |
+
},
|
| 2099 |
+
{
|
| 2100 |
+
"epoch": 6.8,
|
| 2101 |
+
"learning_rate": 0.00021684199066369448,
|
| 2102 |
+
"loss": 0.1802,
|
| 2103 |
+
"step": 17000
|
| 2104 |
+
},
|
| 2105 |
+
{
|
| 2106 |
+
"epoch": 6.82,
|
| 2107 |
+
"learning_rate": 0.0002146191864265354,
|
| 2108 |
+
"loss": 0.1179,
|
| 2109 |
+
"step": 17050
|
| 2110 |
+
},
|
| 2111 |
+
{
|
| 2112 |
+
"epoch": 6.84,
|
| 2113 |
+
"learning_rate": 0.00021239923273867317,
|
| 2114 |
+
"loss": 0.1403,
|
| 2115 |
+
"step": 17100
|
| 2116 |
+
},
|
| 2117 |
+
{
|
| 2118 |
+
"epoch": 6.86,
|
| 2119 |
+
"learning_rate": 0.00021018230845657804,
|
| 2120 |
+
"loss": 0.1483,
|
| 2121 |
+
"step": 17150
|
| 2122 |
+
},
|
| 2123 |
+
{
|
| 2124 |
+
"epoch": 6.88,
|
| 2125 |
+
"learning_rate": 0.0002079685921926476,
|
| 2126 |
+
"loss": 0.1175,
|
| 2127 |
+
"step": 17200
|
| 2128 |
+
},
|
| 2129 |
+
{
|
| 2130 |
+
"epoch": 6.9,
|
| 2131 |
+
"learning_rate": 0.00020575826230081757,
|
| 2132 |
+
"loss": 0.1689,
|
| 2133 |
+
"step": 17250
|
| 2134 |
+
},
|
| 2135 |
+
{
|
| 2136 |
+
"epoch": 6.92,
|
| 2137 |
+
"learning_rate": 0.00020355149686219123,
|
| 2138 |
+
"loss": 0.1084,
|
| 2139 |
+
"step": 17300
|
| 2140 |
+
},
|
| 2141 |
+
{
|
| 2142 |
+
"epoch": 6.94,
|
| 2143 |
+
"learning_rate": 0.00020134847367069225,
|
| 2144 |
+
"loss": 0.1598,
|
| 2145 |
+
"step": 17350
|
| 2146 |
+
},
|
| 2147 |
+
{
|
| 2148 |
+
"epoch": 6.96,
|
| 2149 |
+
"learning_rate": 0.0001991493702187403,
|
| 2150 |
+
"loss": 0.1352,
|
| 2151 |
+
"step": 17400
|
| 2152 |
+
},
|
| 2153 |
+
{
|
| 2154 |
+
"epoch": 6.98,
|
| 2155 |
+
"learning_rate": 0.0001969543636829508,
|
| 2156 |
+
"loss": 0.1491,
|
| 2157 |
+
"step": 17450
|
| 2158 |
+
},
|
| 2159 |
+
{
|
| 2160 |
+
"epoch": 7.0,
|
| 2161 |
+
"learning_rate": 0.00019476363090986011,
|
| 2162 |
+
"loss": 0.1352,
|
| 2163 |
+
"step": 17500
|
| 2164 |
+
},
|
| 2165 |
+
{
|
| 2166 |
+
"epoch": 7.0,
|
| 2167 |
+
"eval_accuracy": 0.9328,
|
| 2168 |
+
"eval_loss": 0.22326812148094177,
|
| 2169 |
+
"eval_runtime": 132.2934,
|
| 2170 |
+
"eval_samples_per_second": 75.59,
|
| 2171 |
+
"eval_steps_per_second": 4.724,
|
| 2172 |
+
"step": 17500
|
| 2173 |
+
},
|
| 2174 |
+
{
|
| 2175 |
+
"epoch": 7.02,
|
| 2176 |
+
"learning_rate": 0.0001925773484016777,
|
| 2177 |
+
"loss": 0.0964,
|
| 2178 |
+
"step": 17550
|
| 2179 |
+
},
|
| 2180 |
+
{
|
| 2181 |
+
"epoch": 7.04,
|
| 2182 |
+
"learning_rate": 0.00019039569230206555,
|
| 2183 |
+
"loss": 0.1568,
|
| 2184 |
+
"step": 17600
|
| 2185 |
+
},
|
| 2186 |
+
{
|
| 2187 |
+
"epoch": 7.06,
|
| 2188 |
+
"learning_rate": 0.00018821883838194664,
|
| 2189 |
+
"loss": 0.0789,
|
| 2190 |
+
"step": 17650
|
| 2191 |
+
},
|
| 2192 |
+
{
|
| 2193 |
+
"epoch": 7.08,
|
| 2194 |
+
"learning_rate": 0.00018604696202534368,
|
| 2195 |
+
"loss": 0.0736,
|
| 2196 |
+
"step": 17700
|
| 2197 |
+
},
|
| 2198 |
+
{
|
| 2199 |
+
"epoch": 7.1,
|
| 2200 |
+
"learning_rate": 0.00018388023821524889,
|
| 2201 |
+
"loss": 0.1445,
|
| 2202 |
+
"step": 17750
|
| 2203 |
+
},
|
| 2204 |
+
{
|
| 2205 |
+
"epoch": 7.12,
|
| 2206 |
+
"learning_rate": 0.0001817188415195257,
|
| 2207 |
+
"loss": 0.0839,
|
| 2208 |
+
"step": 17800
|
| 2209 |
+
},
|
| 2210 |
+
{
|
| 2211 |
+
"epoch": 7.14,
|
| 2212 |
+
"learning_rate": 0.00017956294607684436,
|
| 2213 |
+
"loss": 0.161,
|
| 2214 |
+
"step": 17850
|
| 2215 |
+
},
|
| 2216 |
+
{
|
| 2217 |
+
"epoch": 7.16,
|
| 2218 |
+
"learning_rate": 0.0001774127255826522,
|
| 2219 |
+
"loss": 0.1418,
|
| 2220 |
+
"step": 17900
|
| 2221 |
+
},
|
| 2222 |
+
{
|
| 2223 |
+
"epoch": 7.18,
|
| 2224 |
+
"learning_rate": 0.0001752683532751792,
|
| 2225 |
+
"loss": 0.1222,
|
| 2226 |
+
"step": 17950
|
| 2227 |
+
},
|
| 2228 |
+
{
|
| 2229 |
+
"epoch": 7.2,
|
| 2230 |
+
"learning_rate": 0.0001731300019214805,
|
| 2231 |
+
"loss": 0.1034,
|
| 2232 |
+
"step": 18000
|
| 2233 |
+
},
|
| 2234 |
+
{
|
| 2235 |
+
"epoch": 7.22,
|
| 2236 |
+
"learning_rate": 0.00017099784380351728,
|
| 2237 |
+
"loss": 0.114,
|
| 2238 |
+
"step": 18050
|
| 2239 |
+
},
|
| 2240 |
+
{
|
| 2241 |
+
"epoch": 7.24,
|
| 2242 |
+
"learning_rate": 0.0001688720507042762,
|
| 2243 |
+
"loss": 0.0874,
|
| 2244 |
+
"step": 18100
|
| 2245 |
+
},
|
| 2246 |
+
{
|
| 2247 |
+
"epoch": 7.26,
|
| 2248 |
+
"learning_rate": 0.00016675279389392905,
|
| 2249 |
+
"loss": 0.1183,
|
| 2250 |
+
"step": 18150
|
| 2251 |
+
},
|
| 2252 |
+
{
|
| 2253 |
+
"epoch": 7.28,
|
| 2254 |
+
"learning_rate": 0.00016464024411603435,
|
| 2255 |
+
"loss": 0.1099,
|
| 2256 |
+
"step": 18200
|
| 2257 |
+
},
|
| 2258 |
+
{
|
| 2259 |
+
"epoch": 7.3,
|
| 2260 |
+
"learning_rate": 0.0001625345715737808,
|
| 2261 |
+
"loss": 0.1183,
|
| 2262 |
+
"step": 18250
|
| 2263 |
+
},
|
| 2264 |
+
{
|
| 2265 |
+
"epoch": 7.32,
|
| 2266 |
+
"learning_rate": 0.00016043594591627392,
|
| 2267 |
+
"loss": 0.1456,
|
| 2268 |
+
"step": 18300
|
| 2269 |
+
},
|
| 2270 |
+
{
|
| 2271 |
+
"epoch": 7.34,
|
| 2272 |
+
"learning_rate": 0.0001583445362248687,
|
| 2273 |
+
"loss": 0.1185,
|
| 2274 |
+
"step": 18350
|
| 2275 |
+
},
|
| 2276 |
+
{
|
| 2277 |
+
"epoch": 7.36,
|
| 2278 |
+
"learning_rate": 0.00015630211804928086,
|
| 2279 |
+
"loss": 0.0823,
|
| 2280 |
+
"step": 18400
|
| 2281 |
+
},
|
| 2282 |
+
{
|
| 2283 |
+
"epoch": 7.38,
|
| 2284 |
+
"learning_rate": 0.00015422549250609542,
|
| 2285 |
+
"loss": 0.1193,
|
| 2286 |
+
"step": 18450
|
| 2287 |
+
},
|
| 2288 |
+
{
|
| 2289 |
+
"epoch": 7.4,
|
| 2290 |
+
"learning_rate": 0.0001521565832906994,
|
| 2291 |
+
"loss": 0.0982,
|
| 2292 |
+
"step": 18500
|
| 2293 |
+
},
|
| 2294 |
+
{
|
| 2295 |
+
"epoch": 7.42,
|
| 2296 |
+
"learning_rate": 0.00015009555709026364,
|
| 2297 |
+
"loss": 0.1538,
|
| 2298 |
+
"step": 18550
|
| 2299 |
+
},
|
| 2300 |
+
{
|
| 2301 |
+
"epoch": 7.44,
|
| 2302 |
+
"learning_rate": 0.00014804257995684273,
|
| 2303 |
+
"loss": 0.1161,
|
| 2304 |
+
"step": 18600
|
| 2305 |
+
},
|
| 2306 |
+
{
|
| 2307 |
+
"epoch": 7.46,
|
| 2308 |
+
"learning_rate": 0.00014599781729399667,
|
| 2309 |
+
"loss": 0.0928,
|
| 2310 |
+
"step": 18650
|
| 2311 |
+
},
|
| 2312 |
+
{
|
| 2313 |
+
"epoch": 7.48,
|
| 2314 |
+
"learning_rate": 0.0001439614338434649,
|
| 2315 |
+
"loss": 0.1397,
|
| 2316 |
+
"step": 18700
|
| 2317 |
+
},
|
| 2318 |
+
{
|
| 2319 |
+
"epoch": 7.5,
|
| 2320 |
+
"learning_rate": 0.00014193359367189345,
|
| 2321 |
+
"loss": 0.1524,
|
| 2322 |
+
"step": 18750
|
| 2323 |
+
},
|
| 2324 |
+
{
|
| 2325 |
+
"epoch": 7.52,
|
| 2326 |
+
"learning_rate": 0.0001399144601576161,
|
| 2327 |
+
"loss": 0.1006,
|
| 2328 |
+
"step": 18800
|
| 2329 |
+
},
|
| 2330 |
+
{
|
| 2331 |
+
"epoch": 7.54,
|
| 2332 |
+
"learning_rate": 0.000137904195977492,
|
| 2333 |
+
"loss": 0.1066,
|
| 2334 |
+
"step": 18850
|
| 2335 |
+
},
|
| 2336 |
+
{
|
| 2337 |
+
"epoch": 7.56,
|
| 2338 |
+
"learning_rate": 0.00013590296309379834,
|
| 2339 |
+
"loss": 0.1155,
|
| 2340 |
+
"step": 18900
|
| 2341 |
+
},
|
| 2342 |
+
{
|
| 2343 |
+
"epoch": 7.58,
|
| 2344 |
+
"learning_rate": 0.00013391092274118256,
|
| 2345 |
+
"loss": 0.09,
|
| 2346 |
+
"step": 18950
|
| 2347 |
+
},
|
| 2348 |
+
{
|
| 2349 |
+
"epoch": 7.6,
|
| 2350 |
+
"learning_rate": 0.00013192823541367078,
|
| 2351 |
+
"loss": 0.0766,
|
| 2352 |
+
"step": 19000
|
| 2353 |
+
},
|
| 2354 |
+
{
|
| 2355 |
+
"epoch": 7.62,
|
| 2356 |
+
"learning_rate": 0.000129955060851738,
|
| 2357 |
+
"loss": 0.1123,
|
| 2358 |
+
"step": 19050
|
| 2359 |
+
},
|
| 2360 |
+
{
|
| 2361 |
+
"epoch": 7.64,
|
| 2362 |
+
"learning_rate": 0.00012799155802943818,
|
| 2363 |
+
"loss": 0.0839,
|
| 2364 |
+
"step": 19100
|
| 2365 |
+
},
|
| 2366 |
+
{
|
| 2367 |
+
"epoch": 7.66,
|
| 2368 |
+
"learning_rate": 0.00012603788514159553,
|
| 2369 |
+
"loss": 0.1349,
|
| 2370 |
+
"step": 19150
|
| 2371 |
+
},
|
| 2372 |
+
{
|
| 2373 |
+
"epoch": 7.68,
|
| 2374 |
+
"learning_rate": 0.0001240941995910598,
|
| 2375 |
+
"loss": 0.1229,
|
| 2376 |
+
"step": 19200
|
| 2377 |
+
},
|
| 2378 |
+
{
|
| 2379 |
+
"epoch": 7.7,
|
| 2380 |
+
"learning_rate": 0.0001221606579760241,
|
| 2381 |
+
"loss": 0.1318,
|
| 2382 |
+
"step": 19250
|
| 2383 |
+
},
|
| 2384 |
+
{
|
| 2385 |
+
"epoch": 7.72,
|
| 2386 |
+
"learning_rate": 0.00012023741607740837,
|
| 2387 |
+
"loss": 0.124,
|
| 2388 |
+
"step": 19300
|
| 2389 |
+
},
|
| 2390 |
+
{
|
| 2391 |
+
"epoch": 7.74,
|
| 2392 |
+
"learning_rate": 0.00011832462884630888,
|
| 2393 |
+
"loss": 0.1481,
|
| 2394 |
+
"step": 19350
|
| 2395 |
+
},
|
| 2396 |
+
{
|
| 2397 |
+
"epoch": 7.76,
|
| 2398 |
+
"learning_rate": 0.00011642245039151345,
|
| 2399 |
+
"loss": 0.1024,
|
| 2400 |
+
"step": 19400
|
| 2401 |
+
},
|
| 2402 |
+
{
|
| 2403 |
+
"epoch": 7.78,
|
| 2404 |
+
"learning_rate": 0.0001145310339670857,
|
| 2405 |
+
"loss": 0.0985,
|
| 2406 |
+
"step": 19450
|
| 2407 |
+
},
|
| 2408 |
+
{
|
| 2409 |
+
"epoch": 7.8,
|
| 2410 |
+
"learning_rate": 0.00011265053196001793,
|
| 2411 |
+
"loss": 0.1173,
|
| 2412 |
+
"step": 19500
|
| 2413 |
+
},
|
| 2414 |
+
{
|
| 2415 |
+
"epoch": 7.82,
|
| 2416 |
+
"learning_rate": 0.0001107810958779531,
|
| 2417 |
+
"loss": 0.1126,
|
| 2418 |
+
"step": 19550
|
| 2419 |
+
},
|
| 2420 |
+
{
|
| 2421 |
+
"epoch": 7.84,
|
| 2422 |
+
"learning_rate": 0.00010892287633697847,
|
| 2423 |
+
"loss": 0.0899,
|
| 2424 |
+
"step": 19600
|
| 2425 |
+
},
|
| 2426 |
+
{
|
| 2427 |
+
"epoch": 7.86,
|
| 2428 |
+
"learning_rate": 0.00010707602304949115,
|
| 2429 |
+
"loss": 0.1293,
|
| 2430 |
+
"step": 19650
|
| 2431 |
+
},
|
| 2432 |
+
{
|
| 2433 |
+
"epoch": 7.88,
|
| 2434 |
+
"learning_rate": 0.0001052406848121357,
|
| 2435 |
+
"loss": 0.094,
|
| 2436 |
+
"step": 19700
|
| 2437 |
+
},
|
| 2438 |
+
{
|
| 2439 |
+
"epoch": 7.9,
|
| 2440 |
+
"learning_rate": 0.00010341700949381593,
|
| 2441 |
+
"loss": 0.1207,
|
| 2442 |
+
"step": 19750
|
| 2443 |
+
},
|
| 2444 |
+
{
|
| 2445 |
+
"epoch": 7.92,
|
| 2446 |
+
"learning_rate": 0.0001016051440237816,
|
| 2447 |
+
"loss": 0.116,
|
| 2448 |
+
"step": 19800
|
| 2449 |
+
},
|
| 2450 |
+
{
|
| 2451 |
+
"epoch": 7.94,
|
| 2452 |
+
"learning_rate": 9.980523437979085e-05,
|
| 2453 |
+
"loss": 0.145,
|
| 2454 |
+
"step": 19850
|
| 2455 |
+
},
|
| 2456 |
+
{
|
| 2457 |
+
"epoch": 7.96,
|
| 2458 |
+
"learning_rate": 9.801742557634872e-05,
|
| 2459 |
+
"loss": 0.0873,
|
| 2460 |
+
"step": 19900
|
| 2461 |
+
},
|
| 2462 |
+
{
|
| 2463 |
+
"epoch": 7.98,
|
| 2464 |
+
"learning_rate": 9.624186165302378e-05,
|
| 2465 |
+
"loss": 0.1202,
|
| 2466 |
+
"step": 19950
|
| 2467 |
+
},
|
| 2468 |
+
{
|
| 2469 |
+
"epoch": 8.0,
|
| 2470 |
+
"learning_rate": 9.447868566284355e-05,
|
| 2471 |
+
"loss": 0.1306,
|
| 2472 |
+
"step": 20000
|
| 2473 |
+
},
|
| 2474 |
+
{
|
| 2475 |
+
"epoch": 8.0,
|
| 2476 |
+
"eval_accuracy": 0.936,
|
| 2477 |
+
"eval_loss": 0.22573316097259521,
|
| 2478 |
+
"eval_runtime": 132.6149,
|
| 2479 |
+
"eval_samples_per_second": 75.406,
|
| 2480 |
+
"eval_steps_per_second": 4.713,
|
| 2481 |
+
"step": 20000
|
| 2482 |
+
},
|
| 2483 |
+
{
|
| 2484 |
+
"epoch": 8.02,
|
| 2485 |
+
"learning_rate": 9.272803966076882e-05,
|
| 2486 |
+
"loss": 0.0627,
|
| 2487 |
+
"step": 20050
|
| 2488 |
+
},
|
| 2489 |
+
{
|
| 2490 |
+
"epoch": 8.04,
|
| 2491 |
+
"learning_rate": 9.099006469224803e-05,
|
| 2492 |
+
"loss": 0.0855,
|
| 2493 |
+
"step": 20100
|
| 2494 |
+
},
|
| 2495 |
+
{
|
| 2496 |
+
"epoch": 8.06,
|
| 2497 |
+
"learning_rate": 8.926490078185472e-05,
|
| 2498 |
+
"loss": 0.0945,
|
| 2499 |
+
"step": 20150
|
| 2500 |
+
},
|
| 2501 |
+
{
|
| 2502 |
+
"epoch": 8.08,
|
| 2503 |
+
"learning_rate": 8.755268692200535e-05,
|
| 2504 |
+
"loss": 0.0888,
|
| 2505 |
+
"step": 20200
|
| 2506 |
+
},
|
| 2507 |
+
{
|
| 2508 |
+
"epoch": 8.1,
|
| 2509 |
+
"learning_rate": 8.585356106176093e-05,
|
| 2510 |
+
"loss": 0.1055,
|
| 2511 |
+
"step": 20250
|
| 2512 |
+
},
|
| 2513 |
+
{
|
| 2514 |
+
"epoch": 8.12,
|
| 2515 |
+
"learning_rate": 8.416766009571306e-05,
|
| 2516 |
+
"loss": 0.1047,
|
| 2517 |
+
"step": 20300
|
| 2518 |
+
},
|
| 2519 |
+
{
|
| 2520 |
+
"epoch": 8.14,
|
| 2521 |
+
"learning_rate": 8.249511985295474e-05,
|
| 2522 |
+
"loss": 0.0911,
|
| 2523 |
+
"step": 20350
|
| 2524 |
+
},
|
| 2525 |
+
{
|
| 2526 |
+
"epoch": 8.16,
|
| 2527 |
+
"learning_rate": 8.083607508613663e-05,
|
| 2528 |
+
"loss": 0.0679,
|
| 2529 |
+
"step": 20400
|
| 2530 |
+
},
|
| 2531 |
+
{
|
| 2532 |
+
"epoch": 8.18,
|
| 2533 |
+
"learning_rate": 7.919065946061043e-05,
|
| 2534 |
+
"loss": 0.1069,
|
| 2535 |
+
"step": 20450
|
| 2536 |
+
},
|
| 2537 |
+
{
|
| 2538 |
+
"epoch": 8.2,
|
| 2539 |
+
"learning_rate": 7.755900554366008e-05,
|
| 2540 |
+
"loss": 0.1176,
|
| 2541 |
+
"step": 20500
|
| 2542 |
+
},
|
| 2543 |
+
{
|
| 2544 |
+
"epoch": 8.22,
|
| 2545 |
+
"learning_rate": 7.594124479382086e-05,
|
| 2546 |
+
"loss": 0.0975,
|
| 2547 |
+
"step": 20550
|
| 2548 |
+
},
|
| 2549 |
+
{
|
| 2550 |
+
"epoch": 8.24,
|
| 2551 |
+
"learning_rate": 7.433750755028773e-05,
|
| 2552 |
+
"loss": 0.0936,
|
| 2553 |
+
"step": 20600
|
| 2554 |
+
},
|
| 2555 |
+
{
|
| 2556 |
+
"epoch": 8.26,
|
| 2557 |
+
"learning_rate": 7.277957518611719e-05,
|
| 2558 |
+
"loss": 0.087,
|
| 2559 |
+
"step": 20650
|
| 2560 |
+
},
|
| 2561 |
+
{
|
| 2562 |
+
"epoch": 8.28,
|
| 2563 |
+
"learning_rate": 7.12039845796604e-05,
|
| 2564 |
+
"loss": 0.0672,
|
| 2565 |
+
"step": 20700
|
| 2566 |
+
},
|
| 2567 |
+
{
|
| 2568 |
+
"epoch": 8.3,
|
| 2569 |
+
"learning_rate": 6.964279914947188e-05,
|
| 2570 |
+
"loss": 0.1241,
|
| 2571 |
+
"step": 20750
|
| 2572 |
+
},
|
| 2573 |
+
{
|
| 2574 |
+
"epoch": 8.32,
|
| 2575 |
+
"learning_rate": 6.809614467660574e-05,
|
| 2576 |
+
"loss": 0.0675,
|
| 2577 |
+
"step": 20800
|
| 2578 |
+
},
|
| 2579 |
+
{
|
| 2580 |
+
"epoch": 8.34,
|
| 2581 |
+
"learning_rate": 6.656414577139106e-05,
|
| 2582 |
+
"loss": 0.0568,
|
| 2583 |
+
"step": 20850
|
| 2584 |
+
},
|
| 2585 |
+
{
|
| 2586 |
+
"epoch": 8.36,
|
| 2587 |
+
"learning_rate": 6.504692586339217e-05,
|
| 2588 |
+
"loss": 0.0861,
|
| 2589 |
+
"step": 20900
|
| 2590 |
+
},
|
| 2591 |
+
{
|
| 2592 |
+
"epoch": 8.38,
|
| 2593 |
+
"learning_rate": 6.354460719146405e-05,
|
| 2594 |
+
"loss": 0.0744,
|
| 2595 |
+
"step": 20950
|
| 2596 |
+
},
|
| 2597 |
+
{
|
| 2598 |
+
"epoch": 8.4,
|
| 2599 |
+
"learning_rate": 6.205731079390395e-05,
|
| 2600 |
+
"loss": 0.1317,
|
| 2601 |
+
"step": 21000
|
| 2602 |
+
},
|
| 2603 |
+
{
|
| 2604 |
+
"epoch": 8.42,
|
| 2605 |
+
"learning_rate": 6.0585156498699975e-05,
|
| 2606 |
+
"loss": 0.106,
|
| 2607 |
+
"step": 21050
|
| 2608 |
+
},
|
| 2609 |
+
{
|
| 2610 |
+
"epoch": 8.44,
|
| 2611 |
+
"learning_rate": 5.912826291387613e-05,
|
| 2612 |
+
"loss": 0.0581,
|
| 2613 |
+
"step": 21100
|
| 2614 |
+
},
|
| 2615 |
+
{
|
| 2616 |
+
"epoch": 8.46,
|
| 2617 |
+
"learning_rate": 5.7686747417936864e-05,
|
| 2618 |
+
"loss": 0.0843,
|
| 2619 |
+
"step": 21150
|
| 2620 |
+
},
|
| 2621 |
+
{
|
| 2622 |
+
"epoch": 8.48,
|
| 2623 |
+
"learning_rate": 5.626072615041011e-05,
|
| 2624 |
+
"loss": 0.0788,
|
| 2625 |
+
"step": 21200
|
| 2626 |
+
},
|
| 2627 |
+
{
|
| 2628 |
+
"epoch": 8.5,
|
| 2629 |
+
"learning_rate": 5.485031400249002e-05,
|
| 2630 |
+
"loss": 0.0708,
|
| 2631 |
+
"step": 21250
|
| 2632 |
+
},
|
| 2633 |
+
{
|
| 2634 |
+
"epoch": 8.52,
|
| 2635 |
+
"learning_rate": 5.345562460778042e-05,
|
| 2636 |
+
"loss": 0.0954,
|
| 2637 |
+
"step": 21300
|
| 2638 |
+
},
|
| 2639 |
+
{
|
| 2640 |
+
"epoch": 8.54,
|
| 2641 |
+
"learning_rate": 5.2076770333139956e-05,
|
| 2642 |
+
"loss": 0.1097,
|
| 2643 |
+
"step": 21350
|
| 2644 |
+
},
|
| 2645 |
+
{
|
| 2646 |
+
"epoch": 8.56,
|
| 2647 |
+
"learning_rate": 5.0713862269628516e-05,
|
| 2648 |
+
"loss": 0.0538,
|
| 2649 |
+
"step": 21400
|
| 2650 |
+
},
|
| 2651 |
+
{
|
| 2652 |
+
"epoch": 8.58,
|
| 2653 |
+
"learning_rate": 4.936701022355733e-05,
|
| 2654 |
+
"loss": 0.0764,
|
| 2655 |
+
"step": 21450
|
| 2656 |
+
},
|
| 2657 |
+
{
|
| 2658 |
+
"epoch": 8.6,
|
| 2659 |
+
"learning_rate": 4.803632270764161e-05,
|
| 2660 |
+
"loss": 0.0731,
|
| 2661 |
+
"step": 21500
|
| 2662 |
+
},
|
| 2663 |
+
{
|
| 2664 |
+
"epoch": 8.62,
|
| 2665 |
+
"learning_rate": 4.672190693225853e-05,
|
| 2666 |
+
"loss": 0.1174,
|
| 2667 |
+
"step": 21550
|
| 2668 |
+
},
|
| 2669 |
+
{
|
| 2670 |
+
"epoch": 8.64,
|
| 2671 |
+
"learning_rate": 4.542386879680904e-05,
|
| 2672 |
+
"loss": 0.0934,
|
| 2673 |
+
"step": 21600
|
| 2674 |
+
},
|
| 2675 |
+
{
|
| 2676 |
+
"epoch": 8.66,
|
| 2677 |
+
"learning_rate": 4.414231288118598e-05,
|
| 2678 |
+
"loss": 0.0703,
|
| 2679 |
+
"step": 21650
|
| 2680 |
+
},
|
| 2681 |
+
{
|
| 2682 |
+
"epoch": 8.68,
|
| 2683 |
+
"learning_rate": 4.287734243734848e-05,
|
| 2684 |
+
"loss": 0.1005,
|
| 2685 |
+
"step": 21700
|
| 2686 |
+
},
|
| 2687 |
+
{
|
| 2688 |
+
"epoch": 8.7,
|
| 2689 |
+
"learning_rate": 4.162905938100289e-05,
|
| 2690 |
+
"loss": 0.1247,
|
| 2691 |
+
"step": 21750
|
| 2692 |
+
},
|
| 2693 |
+
{
|
| 2694 |
+
"epoch": 8.72,
|
| 2695 |
+
"learning_rate": 4.0397564283392005e-05,
|
| 2696 |
+
"loss": 0.0823,
|
| 2697 |
+
"step": 21800
|
| 2698 |
+
},
|
| 2699 |
+
{
|
| 2700 |
+
"epoch": 8.74,
|
| 2701 |
+
"learning_rate": 3.918295636319191e-05,
|
| 2702 |
+
"loss": 0.0866,
|
| 2703 |
+
"step": 21850
|
| 2704 |
+
},
|
| 2705 |
+
{
|
| 2706 |
+
"epoch": 8.76,
|
| 2707 |
+
"learning_rate": 3.798533347851843e-05,
|
| 2708 |
+
"loss": 0.0831,
|
| 2709 |
+
"step": 21900
|
| 2710 |
+
},
|
| 2711 |
+
{
|
| 2712 |
+
"epoch": 8.78,
|
| 2713 |
+
"learning_rate": 3.680479211904295e-05,
|
| 2714 |
+
"loss": 0.096,
|
| 2715 |
+
"step": 21950
|
| 2716 |
+
},
|
| 2717 |
+
{
|
| 2718 |
+
"epoch": 8.8,
|
| 2719 |
+
"learning_rate": 3.5641427398218243e-05,
|
| 2720 |
+
"loss": 0.0906,
|
| 2721 |
+
"step": 22000
|
| 2722 |
+
},
|
| 2723 |
+
{
|
| 2724 |
+
"epoch": 8.82,
|
| 2725 |
+
"learning_rate": 3.449533304561545e-05,
|
| 2726 |
+
"loss": 0.0891,
|
| 2727 |
+
"step": 22050
|
| 2728 |
+
},
|
| 2729 |
+
{
|
| 2730 |
+
"epoch": 8.84,
|
| 2731 |
+
"learning_rate": 3.3366601399372866e-05,
|
| 2732 |
+
"loss": 0.0919,
|
| 2733 |
+
"step": 22100
|
| 2734 |
+
},
|
| 2735 |
+
{
|
| 2736 |
+
"epoch": 8.86,
|
| 2737 |
+
"learning_rate": 3.225532339875592e-05,
|
| 2738 |
+
"loss": 0.1024,
|
| 2739 |
+
"step": 22150
|
| 2740 |
+
},
|
| 2741 |
+
{
|
| 2742 |
+
"epoch": 8.88,
|
| 2743 |
+
"learning_rate": 3.116158857683088e-05,
|
| 2744 |
+
"loss": 0.0791,
|
| 2745 |
+
"step": 22200
|
| 2746 |
+
},
|
| 2747 |
+
{
|
| 2748 |
+
"epoch": 8.9,
|
| 2749 |
+
"learning_rate": 3.0085485053250984e-05,
|
| 2750 |
+
"loss": 0.0707,
|
| 2751 |
+
"step": 22250
|
| 2752 |
+
},
|
| 2753 |
+
{
|
| 2754 |
+
"epoch": 8.92,
|
| 2755 |
+
"learning_rate": 2.902709952715732e-05,
|
| 2756 |
+
"loss": 0.0693,
|
| 2757 |
+
"step": 22300
|
| 2758 |
+
},
|
| 2759 |
+
{
|
| 2760 |
+
"epoch": 8.94,
|
| 2761 |
+
"learning_rate": 2.798651727019319e-05,
|
| 2762 |
+
"loss": 0.0846,
|
| 2763 |
+
"step": 22350
|
| 2764 |
+
},
|
| 2765 |
+
{
|
| 2766 |
+
"epoch": 8.96,
|
| 2767 |
+
"learning_rate": 2.696382211963422e-05,
|
| 2768 |
+
"loss": 0.1264,
|
| 2769 |
+
"step": 22400
|
| 2770 |
+
},
|
| 2771 |
+
{
|
| 2772 |
+
"epoch": 8.98,
|
| 2773 |
+
"learning_rate": 2.595909647163386e-05,
|
| 2774 |
+
"loss": 0.0944,
|
| 2775 |
+
"step": 22450
|
| 2776 |
+
},
|
| 2777 |
+
{
|
| 2778 |
+
"epoch": 9.0,
|
| 2779 |
+
"learning_rate": 2.497242127458474e-05,
|
| 2780 |
+
"loss": 0.0849,
|
| 2781 |
+
"step": 22500
|
| 2782 |
+
},
|
| 2783 |
+
{
|
| 2784 |
+
"epoch": 9.0,
|
| 2785 |
+
"eval_accuracy": 0.9372,
|
| 2786 |
+
"eval_loss": 0.2581612169742584,
|
| 2787 |
+
"eval_runtime": 132.2599,
|
| 2788 |
+
"eval_samples_per_second": 75.609,
|
| 2789 |
+
"eval_steps_per_second": 4.726,
|
| 2790 |
+
"step": 22500
|
| 2791 |
+
},
|
| 2792 |
+
{
|
| 2793 |
+
"epoch": 9.02,
|
| 2794 |
+
"learning_rate": 2.4003876022596904e-05,
|
| 2795 |
+
"loss": 0.0662,
|
| 2796 |
+
"step": 22550
|
| 2797 |
+
},
|
| 2798 |
+
{
|
| 2799 |
+
"epoch": 9.04,
|
| 2800 |
+
"learning_rate": 2.305353874909327e-05,
|
| 2801 |
+
"loss": 0.0709,
|
| 2802 |
+
"step": 22600
|
| 2803 |
+
},
|
| 2804 |
+
{
|
| 2805 |
+
"epoch": 9.06,
|
| 2806 |
+
"learning_rate": 2.2121486020522636e-05,
|
| 2807 |
+
"loss": 0.0425,
|
| 2808 |
+
"step": 22650
|
| 2809 |
+
},
|
| 2810 |
+
{
|
| 2811 |
+
"epoch": 9.08,
|
| 2812 |
+
"learning_rate": 2.1207792930190456e-05,
|
| 2813 |
+
"loss": 0.0385,
|
| 2814 |
+
"step": 22700
|
| 2815 |
+
},
|
| 2816 |
+
{
|
| 2817 |
+
"epoch": 9.1,
|
| 2818 |
+
"learning_rate": 2.031253309220954e-05,
|
| 2819 |
+
"loss": 0.0708,
|
| 2820 |
+
"step": 22750
|
| 2821 |
+
},
|
| 2822 |
+
{
|
| 2823 |
+
"epoch": 9.12,
|
| 2824 |
+
"learning_rate": 1.943577863556861e-05,
|
| 2825 |
+
"loss": 0.0898,
|
| 2826 |
+
"step": 22800
|
| 2827 |
+
},
|
| 2828 |
+
{
|
| 2829 |
+
"epoch": 9.14,
|
| 2830 |
+
"learning_rate": 1.8577600198321028e-05,
|
| 2831 |
+
"loss": 0.0911,
|
| 2832 |
+
"step": 22850
|
| 2833 |
+
},
|
| 2834 |
+
{
|
| 2835 |
+
"epoch": 9.16,
|
| 2836 |
+
"learning_rate": 1.7754674424872773e-05,
|
| 2837 |
+
"loss": 0.0721,
|
| 2838 |
+
"step": 22900
|
| 2839 |
+
},
|
| 2840 |
+
{
|
| 2841 |
+
"epoch": 9.18,
|
| 2842 |
+
"learning_rate": 1.69334790393732e-05,
|
| 2843 |
+
"loss": 0.0756,
|
| 2844 |
+
"step": 22950
|
| 2845 |
+
},
|
| 2846 |
+
{
|
| 2847 |
+
"epoch": 9.2,
|
| 2848 |
+
"learning_rate": 1.6131061277685822e-05,
|
| 2849 |
+
"loss": 0.0807,
|
| 2850 |
+
"step": 23000
|
| 2851 |
+
},
|
| 2852 |
+
{
|
| 2853 |
+
"epoch": 9.22,
|
| 2854 |
+
"learning_rate": 1.5347485788730464e-05,
|
| 2855 |
+
"loss": 0.0915,
|
| 2856 |
+
"step": 23050
|
| 2857 |
+
},
|
| 2858 |
+
{
|
| 2859 |
+
"epoch": 9.24,
|
| 2860 |
+
"learning_rate": 1.4582815703349406e-05,
|
| 2861 |
+
"loss": 0.0759,
|
| 2862 |
+
"step": 23100
|
| 2863 |
+
},
|
| 2864 |
+
{
|
| 2865 |
+
"epoch": 9.26,
|
| 2866 |
+
"learning_rate": 1.38371126292208e-05,
|
| 2867 |
+
"loss": 0.0553,
|
| 2868 |
+
"step": 23150
|
| 2869 |
+
},
|
| 2870 |
+
{
|
| 2871 |
+
"epoch": 9.28,
|
| 2872 |
+
"learning_rate": 1.3110436645895063e-05,
|
| 2873 |
+
"loss": 0.0574,
|
| 2874 |
+
"step": 23200
|
| 2875 |
+
},
|
| 2876 |
+
{
|
| 2877 |
+
"epoch": 9.3,
|
| 2878 |
+
"learning_rate": 1.2402846299954445e-05,
|
| 2879 |
+
"loss": 0.0973,
|
| 2880 |
+
"step": 23250
|
| 2881 |
+
},
|
| 2882 |
+
{
|
| 2883 |
+
"epoch": 9.32,
|
| 2884 |
+
"learning_rate": 1.1714398600296133e-05,
|
| 2885 |
+
"loss": 0.0692,
|
| 2886 |
+
"step": 23300
|
| 2887 |
+
},
|
| 2888 |
+
{
|
| 2889 |
+
"epoch": 9.34,
|
| 2890 |
+
"learning_rate": 1.1045149013539257e-05,
|
| 2891 |
+
"loss": 0.0708,
|
| 2892 |
+
"step": 23350
|
| 2893 |
+
},
|
| 2894 |
+
{
|
| 2895 |
+
"epoch": 9.36,
|
| 2896 |
+
"learning_rate": 1.0395151459555607e-05,
|
| 2897 |
+
"loss": 0.1098,
|
| 2898 |
+
"step": 23400
|
| 2899 |
+
},
|
| 2900 |
+
{
|
| 2901 |
+
"epoch": 9.38,
|
| 2902 |
+
"learning_rate": 9.76445830712605e-06,
|
| 2903 |
+
"loss": 0.0761,
|
| 2904 |
+
"step": 23450
|
| 2905 |
+
},
|
| 2906 |
+
{
|
| 2907 |
+
"epoch": 9.4,
|
| 2908 |
+
"learning_rate": 9.153120369721047e-06,
|
| 2909 |
+
"loss": 0.0803,
|
| 2910 |
+
"step": 23500
|
| 2911 |
+
},
|
| 2912 |
+
{
|
| 2913 |
+
"epoch": 9.42,
|
| 2914 |
+
"learning_rate": 8.561186901406532e-06,
|
| 2915 |
+
"loss": 0.0692,
|
| 2916 |
+
"step": 23550
|
| 2917 |
+
},
|
| 2918 |
+
{
|
| 2919 |
+
"epoch": 9.44,
|
| 2920 |
+
"learning_rate": 7.9887055928759e-06,
|
| 2921 |
+
"loss": 0.0811,
|
| 2922 |
+
"step": 23600
|
| 2923 |
+
},
|
| 2924 |
+
{
|
| 2925 |
+
"epoch": 9.46,
|
| 2926 |
+
"learning_rate": 7.4357225676076056e-06,
|
| 2927 |
+
"loss": 0.0989,
|
| 2928 |
+
"step": 23650
|
| 2929 |
+
},
|
| 2930 |
+
{
|
| 2931 |
+
"epoch": 9.48,
|
| 2932 |
+
"learning_rate": 6.902282378149049e-06,
|
| 2933 |
+
"loss": 0.0747,
|
| 2934 |
+
"step": 23700
|
| 2935 |
+
},
|
| 2936 |
+
{
|
| 2937 |
+
"epoch": 9.5,
|
| 2938 |
+
"learning_rate": 6.388428002527036e-06,
|
| 2939 |
+
"loss": 0.0433,
|
| 2940 |
+
"step": 23750
|
| 2941 |
+
},
|
| 2942 |
+
{
|
| 2943 |
+
"epoch": 9.52,
|
| 2944 |
+
"learning_rate": 5.894200840785402e-06,
|
| 2945 |
+
"loss": 0.0421,
|
| 2946 |
+
"step": 23800
|
| 2947 |
+
},
|
| 2948 |
+
{
|
| 2949 |
+
"epoch": 9.54,
|
| 2950 |
+
"learning_rate": 5.419640711649188e-06,
|
| 2951 |
+
"loss": 0.1055,
|
| 2952 |
+
"step": 23850
|
| 2953 |
+
},
|
| 2954 |
+
{
|
| 2955 |
+
"epoch": 9.56,
|
| 2956 |
+
"learning_rate": 4.964785849316644e-06,
|
| 2957 |
+
"loss": 0.0832,
|
| 2958 |
+
"step": 23900
|
| 2959 |
+
},
|
| 2960 |
+
{
|
| 2961 |
+
"epoch": 9.58,
|
| 2962 |
+
"learning_rate": 4.529672900378923e-06,
|
| 2963 |
+
"loss": 0.0741,
|
| 2964 |
+
"step": 23950
|
| 2965 |
+
},
|
| 2966 |
+
{
|
| 2967 |
+
"epoch": 9.6,
|
| 2968 |
+
"learning_rate": 4.114336920867434e-06,
|
| 2969 |
+
"loss": 0.067,
|
| 2970 |
+
"step": 24000
|
| 2971 |
+
},
|
| 2972 |
+
{
|
| 2973 |
+
"epoch": 9.62,
|
| 2974 |
+
"learning_rate": 3.7188113734293592e-06,
|
| 2975 |
+
"loss": 0.101,
|
| 2976 |
+
"step": 24050
|
| 2977 |
+
},
|
| 2978 |
+
{
|
| 2979 |
+
"epoch": 9.64,
|
| 2980 |
+
"learning_rate": 3.3431281246318613e-06,
|
| 2981 |
+
"loss": 0.0772,
|
| 2982 |
+
"step": 24100
|
| 2983 |
+
},
|
| 2984 |
+
{
|
| 2985 |
+
"epoch": 9.66,
|
| 2986 |
+
"learning_rate": 2.9873174423945824e-06,
|
| 2987 |
+
"loss": 0.0935,
|
| 2988 |
+
"step": 24150
|
| 2989 |
+
},
|
| 2990 |
+
{
|
| 2991 |
+
"epoch": 9.68,
|
| 2992 |
+
"learning_rate": 2.6514079935509583e-06,
|
| 2993 |
+
"loss": 0.0859,
|
| 2994 |
+
"step": 24200
|
| 2995 |
+
},
|
| 2996 |
+
{
|
| 2997 |
+
"epoch": 9.7,
|
| 2998 |
+
"learning_rate": 2.335426841538618e-06,
|
| 2999 |
+
"loss": 0.0631,
|
| 3000 |
+
"step": 24250
|
| 3001 |
+
},
|
| 3002 |
+
{
|
| 3003 |
+
"epoch": 9.72,
|
| 3004 |
+
"learning_rate": 2.0393994442191033e-06,
|
| 3005 |
+
"loss": 0.0765,
|
| 3006 |
+
"step": 24300
|
| 3007 |
+
},
|
| 3008 |
+
{
|
| 3009 |
+
"epoch": 9.74,
|
| 3010 |
+
"learning_rate": 1.7633496518265347e-06,
|
| 3011 |
+
"loss": 0.0937,
|
| 3012 |
+
"step": 24350
|
| 3013 |
+
},
|
| 3014 |
+
{
|
| 3015 |
+
"epoch": 9.76,
|
| 3016 |
+
"learning_rate": 1.507299705046289e-06,
|
| 3017 |
+
"loss": 0.0827,
|
| 3018 |
+
"step": 24400
|
| 3019 |
+
},
|
| 3020 |
+
{
|
| 3021 |
+
"epoch": 9.78,
|
| 3022 |
+
"learning_rate": 1.2712702332229875e-06,
|
| 3023 |
+
"loss": 0.0815,
|
| 3024 |
+
"step": 24450
|
| 3025 |
+
},
|
| 3026 |
+
{
|
| 3027 |
+
"epoch": 9.8,
|
| 3028 |
+
"learning_rate": 1.0552802526983819e-06,
|
| 3029 |
+
"loss": 0.0385,
|
| 3030 |
+
"step": 24500
|
| 3031 |
+
},
|
| 3032 |
+
{
|
| 3033 |
+
"epoch": 9.82,
|
| 3034 |
+
"learning_rate": 8.593471652794949e-07,
|
| 3035 |
+
"loss": 0.0743,
|
| 3036 |
+
"step": 24550
|
| 3037 |
+
},
|
| 3038 |
+
{
|
| 3039 |
+
"epoch": 9.84,
|
| 3040 |
+
"learning_rate": 6.834867568362991e-07,
|
| 3041 |
+
"loss": 0.0868,
|
| 3042 |
+
"step": 24600
|
| 3043 |
+
},
|
| 3044 |
+
{
|
| 3045 |
+
"epoch": 9.86,
|
| 3046 |
+
"learning_rate": 5.277131960301218e-07,
|
| 3047 |
+
"loss": 0.0709,
|
| 3048 |
+
"step": 24650
|
| 3049 |
+
},
|
| 3050 |
+
{
|
| 3051 |
+
"epoch": 9.88,
|
| 3052 |
+
"learning_rate": 3.920390331719481e-07,
|
| 3053 |
+
"loss": 0.0814,
|
| 3054 |
+
"step": 24700
|
| 3055 |
+
},
|
| 3056 |
+
{
|
| 3057 |
+
"epoch": 9.9,
|
| 3058 |
+
"learning_rate": 2.7647519921136786e-07,
|
| 3059 |
+
"loss": 0.0834,
|
| 3060 |
+
"step": 24750
|
| 3061 |
+
},
|
| 3062 |
+
{
|
| 3063 |
+
"epoch": 9.92,
|
| 3064 |
+
"learning_rate": 1.810310048558639e-07,
|
| 3065 |
+
"loss": 0.0773,
|
| 3066 |
+
"step": 24800
|
| 3067 |
+
},
|
| 3068 |
+
{
|
| 3069 |
+
"epoch": 9.94,
|
| 3070 |
+
"learning_rate": 1.0571413982068956e-07,
|
| 3071 |
+
"loss": 0.0787,
|
| 3072 |
+
"step": 24850
|
| 3073 |
+
},
|
| 3074 |
+
{
|
| 3075 |
+
"epoch": 9.96,
|
| 3076 |
+
"learning_rate": 5.1437002834192616e-08,
|
| 3077 |
+
"loss": 0.0584,
|
| 3078 |
+
"step": 24900
|
| 3079 |
+
},
|
| 3080 |
+
{
|
| 3081 |
+
"epoch": 9.98,
|
| 3082 |
+
"learning_rate": 1.5988588703552686e-08,
|
| 3083 |
+
"loss": 0.0847,
|
| 3084 |
+
"step": 24950
|
| 3085 |
+
},
|
| 3086 |
+
{
|
| 3087 |
+
"epoch": 10.0,
|
| 3088 |
+
"learning_rate": 6.808009741787746e-10,
|
| 3089 |
+
"loss": 0.0609,
|
| 3090 |
+
"step": 25000
|
| 3091 |
+
},
|
| 3092 |
+
{
|
| 3093 |
+
"epoch": 10.0,
|
| 3094 |
+
"eval_accuracy": 0.9364,
|
| 3095 |
+
"eval_loss": 0.2748859226703644,
|
| 3096 |
+
"eval_runtime": 132.1385,
|
| 3097 |
+
"eval_samples_per_second": 75.678,
|
| 3098 |
+
"eval_steps_per_second": 4.73,
|
| 3099 |
+
"step": 25000
|
| 3100 |
+
}
|
| 3101 |
+
],
|
| 3102 |
+
"logging_steps": 50,
|
| 3103 |
+
"max_steps": 25000,
|
| 3104 |
+
"num_train_epochs": 10,
|
| 3105 |
+
"save_steps": 500,
|
| 3106 |
+
"total_flos": 5.833970619727296e+16,
|
| 3107 |
+
"trial_name": null,
|
| 3108 |
+
"trial_params": null
|
| 3109 |
+
}
|
checkpoint-25000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:ec3775b4601d79665325e377c01a163d9ef09a7fa47af2b3ae8cc93ce5670761
|
| 3 |
+
size 4027
|
checkpoint-25000/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|