Training in progress, step 74000, checkpoint
Browse files- checkpoint-74000/added_tokens.json +5 -0
- checkpoint-74000/config.json +46 -0
- checkpoint-74000/merges.txt +0 -0
- checkpoint-74000/optimizer.pt +3 -0
- checkpoint-74000/pytorch_model.bin +3 -0
- checkpoint-74000/rng_state.pth +3 -0
- checkpoint-74000/scheduler.pt +3 -0
- checkpoint-74000/special_tokens_map.json +6 -0
- checkpoint-74000/tokenizer_config.json +7 -0
- checkpoint-74000/trainer_state.json +1135 -0
- checkpoint-74000/training_args.bin +3 -0
- checkpoint-74000/vocab.json +0 -0
checkpoint-74000/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<bos>": 40478,
|
| 3 |
+
"<eos>": 40479,
|
| 4 |
+
"<pad>": 40480
|
| 5 |
+
}
|
checkpoint-74000/config.json
ADDED
|
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "openai-gpt",
|
| 3 |
+
"afn": "gelu",
|
| 4 |
+
"architectures": [
|
| 5 |
+
"OpenAIGPTForSequenceClassification"
|
| 6 |
+
],
|
| 7 |
+
"attn_pdrop": 0.1,
|
| 8 |
+
"embd_pdrop": 0.1,
|
| 9 |
+
"id2label": {
|
| 10 |
+
"0": "entailment",
|
| 11 |
+
"1": "neutral",
|
| 12 |
+
"2": "contradiction"
|
| 13 |
+
},
|
| 14 |
+
"initializer_range": 0.02,
|
| 15 |
+
"label2id": {
|
| 16 |
+
"contradiction": 2,
|
| 17 |
+
"entailment": 0,
|
| 18 |
+
"neutral": 1
|
| 19 |
+
},
|
| 20 |
+
"layer_norm_epsilon": 1e-05,
|
| 21 |
+
"model_type": "openai-gpt",
|
| 22 |
+
"n_ctx": 512,
|
| 23 |
+
"n_embd": 768,
|
| 24 |
+
"n_head": 12,
|
| 25 |
+
"n_layer": 12,
|
| 26 |
+
"n_positions": 512,
|
| 27 |
+
"n_special": 0,
|
| 28 |
+
"pad_token_id": 40480,
|
| 29 |
+
"predict_special_tokens": true,
|
| 30 |
+
"problem_type": "single_label_classification",
|
| 31 |
+
"resid_pdrop": 0.1,
|
| 32 |
+
"summary_activation": null,
|
| 33 |
+
"summary_first_dropout": 0.1,
|
| 34 |
+
"summary_proj_to_labels": true,
|
| 35 |
+
"summary_type": "cls_index",
|
| 36 |
+
"summary_use_proj": true,
|
| 37 |
+
"task_specific_params": {
|
| 38 |
+
"text-generation": {
|
| 39 |
+
"do_sample": true,
|
| 40 |
+
"max_length": 50
|
| 41 |
+
}
|
| 42 |
+
},
|
| 43 |
+
"torch_dtype": "float32",
|
| 44 |
+
"transformers_version": "4.33.0.dev0",
|
| 45 |
+
"vocab_size": 40481
|
| 46 |
+
}
|
checkpoint-74000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-74000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:10731c0f3b06c24e2727fce4ff100a4353d25fe9a99fed42738f51d2cb7ceae1
|
| 3 |
+
size 932401605
|
checkpoint-74000/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:139e594408d4a7413198163de3452040d734190c254317672e771e0ca44d2e6c
|
| 3 |
+
size 466205145
|
checkpoint-74000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7d0d5641c117e504972047e5682c853819ea30df28c41be25daf8580796daf89
|
| 3 |
+
size 14575
|
checkpoint-74000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9c7d82fcd67abe75449b32d5f9793db9da55020e3e970a44249b3c801cb77569
|
| 3 |
+
size 627
|
checkpoint-74000/special_tokens_map.json
ADDED
|
@@ -0,0 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"bos_token": "<bos>",
|
| 3 |
+
"eos_token": "<eos>",
|
| 4 |
+
"pad_token": "<pad>",
|
| 5 |
+
"unk_token": "<unk>"
|
| 6 |
+
}
|
checkpoint-74000/tokenizer_config.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"clean_up_tokenization_spaces": true,
|
| 3 |
+
"model_max_length": 512,
|
| 4 |
+
"padding_side": "left",
|
| 5 |
+
"tokenizer_class": "OpenAIGPTTokenizer",
|
| 6 |
+
"unk_token": "<unk>"
|
| 7 |
+
}
|
checkpoint-74000/trainer_state.json
ADDED
|
@@ -0,0 +1,1135 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9742932319641113,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-74000",
|
| 4 |
+
"epoch": 3.014993481095176,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 74000,
|
| 7 |
+
"is_hyper_param_search": false,
|
| 8 |
+
"is_local_process_zero": true,
|
| 9 |
+
"is_world_process_zero": true,
|
| 10 |
+
"log_history": [
|
| 11 |
+
{
|
| 12 |
+
"epoch": 0.0,
|
| 13 |
+
"learning_rate": 2.7777777777777777e-11,
|
| 14 |
+
"loss": 1.1065,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 2.7750000000000004e-08,
|
| 20 |
+
"loss": 1.1586,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.04,
|
| 25 |
+
"eval_accuracy": 0.32954091816367265,
|
| 26 |
+
"eval_loss": 1.1065887212753296,
|
| 27 |
+
"eval_runtime": 54.4372,
|
| 28 |
+
"eval_samples_per_second": 92.033,
|
| 29 |
+
"eval_steps_per_second": 11.518,
|
| 30 |
+
"step": 1000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08,
|
| 34 |
+
"learning_rate": 5.5527777777777784e-08,
|
| 35 |
+
"loss": 1.1259,
|
| 36 |
+
"step": 2000
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.08,
|
| 40 |
+
"eval_accuracy": 0.3435129740518962,
|
| 41 |
+
"eval_loss": 1.1045255661010742,
|
| 42 |
+
"eval_runtime": 54.458,
|
| 43 |
+
"eval_samples_per_second": 91.997,
|
| 44 |
+
"eval_steps_per_second": 11.513,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 8.327777777777778e-08,
|
| 50 |
+
"loss": 1.1229,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.12,
|
| 55 |
+
"eval_accuracy": 0.3441117764471058,
|
| 56 |
+
"eval_loss": 1.1050777435302734,
|
| 57 |
+
"eval_runtime": 54.349,
|
| 58 |
+
"eval_samples_per_second": 92.182,
|
| 59 |
+
"eval_steps_per_second": 11.537,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.16,
|
| 64 |
+
"learning_rate": 1.1105555555555557e-07,
|
| 65 |
+
"loss": 1.1237,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16,
|
| 70 |
+
"eval_accuracy": 0.3411177644710579,
|
| 71 |
+
"eval_loss": 1.1015312671661377,
|
| 72 |
+
"eval_runtime": 54.4388,
|
| 73 |
+
"eval_samples_per_second": 92.03,
|
| 74 |
+
"eval_steps_per_second": 11.518,
|
| 75 |
+
"step": 4000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 1.3883333333333335e-07,
|
| 80 |
+
"loss": 1.1202,
|
| 81 |
+
"step": 5000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.2,
|
| 85 |
+
"eval_accuracy": 0.3405189620758483,
|
| 86 |
+
"eval_loss": 1.1006112098693848,
|
| 87 |
+
"eval_runtime": 54.4109,
|
| 88 |
+
"eval_samples_per_second": 92.077,
|
| 89 |
+
"eval_steps_per_second": 11.523,
|
| 90 |
+
"step": 5000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.24,
|
| 94 |
+
"learning_rate": 1.6658333333333335e-07,
|
| 95 |
+
"loss": 1.1182,
|
| 96 |
+
"step": 6000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.24,
|
| 100 |
+
"eval_accuracy": 0.35489021956087824,
|
| 101 |
+
"eval_loss": 1.0982259511947632,
|
| 102 |
+
"eval_runtime": 54.3841,
|
| 103 |
+
"eval_samples_per_second": 92.123,
|
| 104 |
+
"eval_steps_per_second": 11.529,
|
| 105 |
+
"step": 6000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 1.9436111111111112e-07,
|
| 110 |
+
"loss": 1.1125,
|
| 111 |
+
"step": 7000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.29,
|
| 115 |
+
"eval_accuracy": 0.35748502994011977,
|
| 116 |
+
"eval_loss": 1.0954252481460571,
|
| 117 |
+
"eval_runtime": 54.3975,
|
| 118 |
+
"eval_samples_per_second": 92.1,
|
| 119 |
+
"eval_steps_per_second": 11.526,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.33,
|
| 124 |
+
"learning_rate": 2.2213888888888891e-07,
|
| 125 |
+
"loss": 1.1096,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.33,
|
| 130 |
+
"eval_accuracy": 0.3664670658682635,
|
| 131 |
+
"eval_loss": 1.0949230194091797,
|
| 132 |
+
"eval_runtime": 54.3263,
|
| 133 |
+
"eval_samples_per_second": 92.221,
|
| 134 |
+
"eval_steps_per_second": 11.541,
|
| 135 |
+
"step": 8000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 2.4988888888888893e-07,
|
| 140 |
+
"loss": 1.1057,
|
| 141 |
+
"step": 9000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.37,
|
| 145 |
+
"eval_accuracy": 0.34890219560878244,
|
| 146 |
+
"eval_loss": 1.1037237644195557,
|
| 147 |
+
"eval_runtime": 54.3657,
|
| 148 |
+
"eval_samples_per_second": 92.154,
|
| 149 |
+
"eval_steps_per_second": 11.533,
|
| 150 |
+
"step": 9000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.41,
|
| 154 |
+
"learning_rate": 2.776666666666667e-07,
|
| 155 |
+
"loss": 1.1056,
|
| 156 |
+
"step": 10000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.41,
|
| 160 |
+
"eval_accuracy": 0.3838323353293413,
|
| 161 |
+
"eval_loss": 1.0928014516830444,
|
| 162 |
+
"eval_runtime": 54.6518,
|
| 163 |
+
"eval_samples_per_second": 91.671,
|
| 164 |
+
"eval_steps_per_second": 11.473,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.45,
|
| 169 |
+
"learning_rate": 3.054444444444444e-07,
|
| 170 |
+
"loss": 1.1036,
|
| 171 |
+
"step": 11000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.45,
|
| 175 |
+
"eval_accuracy": 0.3838323353293413,
|
| 176 |
+
"eval_loss": 1.0908663272857666,
|
| 177 |
+
"eval_runtime": 54.579,
|
| 178 |
+
"eval_samples_per_second": 91.794,
|
| 179 |
+
"eval_steps_per_second": 11.488,
|
| 180 |
+
"step": 11000
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.49,
|
| 184 |
+
"learning_rate": 3.3322222222222225e-07,
|
| 185 |
+
"loss": 1.1012,
|
| 186 |
+
"step": 12000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.49,
|
| 190 |
+
"eval_accuracy": 0.3872255489021956,
|
| 191 |
+
"eval_loss": 1.0890672206878662,
|
| 192 |
+
"eval_runtime": 54.5139,
|
| 193 |
+
"eval_samples_per_second": 91.903,
|
| 194 |
+
"eval_steps_per_second": 11.502,
|
| 195 |
+
"step": 12000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.53,
|
| 199 |
+
"learning_rate": 3.609722222222222e-07,
|
| 200 |
+
"loss": 1.103,
|
| 201 |
+
"step": 13000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.53,
|
| 205 |
+
"eval_accuracy": 0.34311377245508984,
|
| 206 |
+
"eval_loss": 1.0942790508270264,
|
| 207 |
+
"eval_runtime": 54.3951,
|
| 208 |
+
"eval_samples_per_second": 92.104,
|
| 209 |
+
"eval_steps_per_second": 11.527,
|
| 210 |
+
"step": 13000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.57,
|
| 214 |
+
"learning_rate": 3.8875e-07,
|
| 215 |
+
"loss": 1.0997,
|
| 216 |
+
"step": 14000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.57,
|
| 220 |
+
"eval_accuracy": 0.3712574850299401,
|
| 221 |
+
"eval_loss": 1.0931994915008545,
|
| 222 |
+
"eval_runtime": 54.3749,
|
| 223 |
+
"eval_samples_per_second": 92.138,
|
| 224 |
+
"eval_steps_per_second": 11.531,
|
| 225 |
+
"step": 14000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.61,
|
| 229 |
+
"learning_rate": 4.1650000000000006e-07,
|
| 230 |
+
"loss": 1.0993,
|
| 231 |
+
"step": 15000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.61,
|
| 235 |
+
"eval_accuracy": 0.3872255489021956,
|
| 236 |
+
"eval_loss": 1.0887969732284546,
|
| 237 |
+
"eval_runtime": 54.4149,
|
| 238 |
+
"eval_samples_per_second": 92.07,
|
| 239 |
+
"eval_steps_per_second": 11.523,
|
| 240 |
+
"step": 15000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.65,
|
| 244 |
+
"learning_rate": 4.4427777777777783e-07,
|
| 245 |
+
"loss": 1.0983,
|
| 246 |
+
"step": 16000
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.65,
|
| 250 |
+
"eval_accuracy": 0.3980039920159681,
|
| 251 |
+
"eval_loss": 1.0836474895477295,
|
| 252 |
+
"eval_runtime": 54.3692,
|
| 253 |
+
"eval_samples_per_second": 92.148,
|
| 254 |
+
"eval_steps_per_second": 11.532,
|
| 255 |
+
"step": 16000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.69,
|
| 259 |
+
"learning_rate": 4.7202777777777785e-07,
|
| 260 |
+
"loss": 1.0954,
|
| 261 |
+
"step": 17000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.69,
|
| 265 |
+
"eval_accuracy": 0.3996007984031936,
|
| 266 |
+
"eval_loss": 1.0822749137878418,
|
| 267 |
+
"eval_runtime": 54.3313,
|
| 268 |
+
"eval_samples_per_second": 92.212,
|
| 269 |
+
"eval_steps_per_second": 11.54,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.73,
|
| 274 |
+
"learning_rate": 4.998055555555556e-07,
|
| 275 |
+
"loss": 1.097,
|
| 276 |
+
"step": 18000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.73,
|
| 280 |
+
"eval_accuracy": 0.4033932135728543,
|
| 281 |
+
"eval_loss": 1.0845097303390503,
|
| 282 |
+
"eval_runtime": 54.3565,
|
| 283 |
+
"eval_samples_per_second": 92.169,
|
| 284 |
+
"eval_steps_per_second": 11.535,
|
| 285 |
+
"step": 18000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.77,
|
| 289 |
+
"learning_rate": 5.275555555555556e-07,
|
| 290 |
+
"loss": 1.0942,
|
| 291 |
+
"step": 19000
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.77,
|
| 295 |
+
"eval_accuracy": 0.4039920159680639,
|
| 296 |
+
"eval_loss": 1.0809950828552246,
|
| 297 |
+
"eval_runtime": 54.3973,
|
| 298 |
+
"eval_samples_per_second": 92.1,
|
| 299 |
+
"eval_steps_per_second": 11.526,
|
| 300 |
+
"step": 19000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.81,
|
| 304 |
+
"learning_rate": 5.553333333333334e-07,
|
| 305 |
+
"loss": 1.0921,
|
| 306 |
+
"step": 20000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.81,
|
| 310 |
+
"eval_accuracy": 0.4055888223552894,
|
| 311 |
+
"eval_loss": 1.0818568468093872,
|
| 312 |
+
"eval_runtime": 54.8395,
|
| 313 |
+
"eval_samples_per_second": 91.358,
|
| 314 |
+
"eval_steps_per_second": 11.433,
|
| 315 |
+
"step": 20000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.86,
|
| 319 |
+
"learning_rate": 5.830833333333334e-07,
|
| 320 |
+
"loss": 1.0914,
|
| 321 |
+
"step": 21000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.86,
|
| 325 |
+
"eval_accuracy": 0.38163672654690617,
|
| 326 |
+
"eval_loss": 1.08183753490448,
|
| 327 |
+
"eval_runtime": 54.4076,
|
| 328 |
+
"eval_samples_per_second": 92.083,
|
| 329 |
+
"eval_steps_per_second": 11.524,
|
| 330 |
+
"step": 21000
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.9,
|
| 334 |
+
"learning_rate": 6.108611111111111e-07,
|
| 335 |
+
"loss": 1.091,
|
| 336 |
+
"step": 22000
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.9,
|
| 340 |
+
"eval_accuracy": 0.40658682634730536,
|
| 341 |
+
"eval_loss": 1.0757951736450195,
|
| 342 |
+
"eval_runtime": 54.4113,
|
| 343 |
+
"eval_samples_per_second": 92.077,
|
| 344 |
+
"eval_steps_per_second": 11.523,
|
| 345 |
+
"step": 22000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.94,
|
| 349 |
+
"learning_rate": 6.386388888888889e-07,
|
| 350 |
+
"loss": 1.0856,
|
| 351 |
+
"step": 23000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.94,
|
| 355 |
+
"eval_accuracy": 0.43313373253493015,
|
| 356 |
+
"eval_loss": 1.0659974813461304,
|
| 357 |
+
"eval_runtime": 54.3958,
|
| 358 |
+
"eval_samples_per_second": 92.103,
|
| 359 |
+
"eval_steps_per_second": 11.527,
|
| 360 |
+
"step": 23000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.98,
|
| 364 |
+
"learning_rate": 6.663888888888889e-07,
|
| 365 |
+
"loss": 1.0794,
|
| 366 |
+
"step": 24000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.98,
|
| 370 |
+
"eval_accuracy": 0.43952095808383235,
|
| 371 |
+
"eval_loss": 1.056550145149231,
|
| 372 |
+
"eval_runtime": 54.6408,
|
| 373 |
+
"eval_samples_per_second": 91.69,
|
| 374 |
+
"eval_steps_per_second": 11.475,
|
| 375 |
+
"step": 24000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.02,
|
| 379 |
+
"learning_rate": 6.941666666666667e-07,
|
| 380 |
+
"loss": 1.0714,
|
| 381 |
+
"step": 25000
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.02,
|
| 385 |
+
"eval_accuracy": 0.4411177644710579,
|
| 386 |
+
"eval_loss": 1.0531866550445557,
|
| 387 |
+
"eval_runtime": 54.5122,
|
| 388 |
+
"eval_samples_per_second": 91.906,
|
| 389 |
+
"eval_steps_per_second": 11.502,
|
| 390 |
+
"step": 25000
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.06,
|
| 394 |
+
"learning_rate": 7.219166666666666e-07,
|
| 395 |
+
"loss": 1.0703,
|
| 396 |
+
"step": 26000
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.06,
|
| 400 |
+
"eval_accuracy": 0.43273453093812375,
|
| 401 |
+
"eval_loss": 1.0532232522964478,
|
| 402 |
+
"eval_runtime": 54.5098,
|
| 403 |
+
"eval_samples_per_second": 91.91,
|
| 404 |
+
"eval_steps_per_second": 11.503,
|
| 405 |
+
"step": 26000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.1,
|
| 409 |
+
"learning_rate": 7.496944444444444e-07,
|
| 410 |
+
"loss": 1.0682,
|
| 411 |
+
"step": 27000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1,
|
| 415 |
+
"eval_accuracy": 0.4353293413173653,
|
| 416 |
+
"eval_loss": 1.050220012664795,
|
| 417 |
+
"eval_runtime": 54.3702,
|
| 418 |
+
"eval_samples_per_second": 92.146,
|
| 419 |
+
"eval_steps_per_second": 11.532,
|
| 420 |
+
"step": 27000
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.14,
|
| 424 |
+
"learning_rate": 7.774444444444445e-07,
|
| 425 |
+
"loss": 1.0671,
|
| 426 |
+
"step": 28000
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.14,
|
| 430 |
+
"eval_accuracy": 0.43333333333333335,
|
| 431 |
+
"eval_loss": 1.0470824241638184,
|
| 432 |
+
"eval_runtime": 54.4316,
|
| 433 |
+
"eval_samples_per_second": 92.042,
|
| 434 |
+
"eval_steps_per_second": 11.519,
|
| 435 |
+
"step": 28000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.18,
|
| 439 |
+
"learning_rate": 8.052222222222223e-07,
|
| 440 |
+
"loss": 1.0584,
|
| 441 |
+
"step": 29000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.18,
|
| 445 |
+
"eval_accuracy": 0.43972055888223555,
|
| 446 |
+
"eval_loss": 1.0414146184921265,
|
| 447 |
+
"eval_runtime": 54.4332,
|
| 448 |
+
"eval_samples_per_second": 92.039,
|
| 449 |
+
"eval_steps_per_second": 11.519,
|
| 450 |
+
"step": 29000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.22,
|
| 454 |
+
"learning_rate": 8.329722222222223e-07,
|
| 455 |
+
"loss": 1.0593,
|
| 456 |
+
"step": 30000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.22,
|
| 460 |
+
"eval_accuracy": 0.4375249500998004,
|
| 461 |
+
"eval_loss": 1.0382143259048462,
|
| 462 |
+
"eval_runtime": 54.3397,
|
| 463 |
+
"eval_samples_per_second": 92.198,
|
| 464 |
+
"eval_steps_per_second": 11.539,
|
| 465 |
+
"step": 30000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.26,
|
| 469 |
+
"learning_rate": 8.607500000000001e-07,
|
| 470 |
+
"loss": 1.0642,
|
| 471 |
+
"step": 31000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.26,
|
| 475 |
+
"eval_accuracy": 0.4367265469061876,
|
| 476 |
+
"eval_loss": 1.043815016746521,
|
| 477 |
+
"eval_runtime": 54.3991,
|
| 478 |
+
"eval_samples_per_second": 92.097,
|
| 479 |
+
"eval_steps_per_second": 11.526,
|
| 480 |
+
"step": 31000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.3,
|
| 484 |
+
"learning_rate": 8.885e-07,
|
| 485 |
+
"loss": 1.0568,
|
| 486 |
+
"step": 32000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3,
|
| 490 |
+
"eval_accuracy": 0.43253493013972055,
|
| 491 |
+
"eval_loss": 1.040160059928894,
|
| 492 |
+
"eval_runtime": 54.3558,
|
| 493 |
+
"eval_samples_per_second": 92.171,
|
| 494 |
+
"eval_steps_per_second": 11.535,
|
| 495 |
+
"step": 32000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.34,
|
| 499 |
+
"learning_rate": 9.162777777777779e-07,
|
| 500 |
+
"loss": 1.0555,
|
| 501 |
+
"step": 33000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.34,
|
| 505 |
+
"eval_accuracy": 0.4471057884231537,
|
| 506 |
+
"eval_loss": 1.0343328714370728,
|
| 507 |
+
"eval_runtime": 54.3506,
|
| 508 |
+
"eval_samples_per_second": 92.179,
|
| 509 |
+
"eval_steps_per_second": 11.536,
|
| 510 |
+
"step": 33000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.39,
|
| 514 |
+
"learning_rate": 9.440555555555557e-07,
|
| 515 |
+
"loss": 1.0502,
|
| 516 |
+
"step": 34000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.39,
|
| 520 |
+
"eval_accuracy": 0.4540918163672655,
|
| 521 |
+
"eval_loss": 1.0305495262145996,
|
| 522 |
+
"eval_runtime": 54.504,
|
| 523 |
+
"eval_samples_per_second": 91.92,
|
| 524 |
+
"eval_steps_per_second": 11.504,
|
| 525 |
+
"step": 34000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.43,
|
| 529 |
+
"learning_rate": 9.718055555555557e-07,
|
| 530 |
+
"loss": 1.054,
|
| 531 |
+
"step": 35000
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.43,
|
| 535 |
+
"eval_accuracy": 0.45169660678642715,
|
| 536 |
+
"eval_loss": 1.0271915197372437,
|
| 537 |
+
"eval_runtime": 54.3119,
|
| 538 |
+
"eval_samples_per_second": 92.245,
|
| 539 |
+
"eval_steps_per_second": 11.544,
|
| 540 |
+
"step": 35000
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.47,
|
| 544 |
+
"learning_rate": 9.995833333333334e-07,
|
| 545 |
+
"loss": 1.049,
|
| 546 |
+
"step": 36000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.47,
|
| 550 |
+
"eval_accuracy": 0.4540918163672655,
|
| 551 |
+
"eval_loss": 1.024204969406128,
|
| 552 |
+
"eval_runtime": 54.5422,
|
| 553 |
+
"eval_samples_per_second": 91.855,
|
| 554 |
+
"eval_steps_per_second": 11.496,
|
| 555 |
+
"step": 36000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.51,
|
| 559 |
+
"learning_rate": 1.0273333333333335e-06,
|
| 560 |
+
"loss": 1.0466,
|
| 561 |
+
"step": 37000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.51,
|
| 565 |
+
"eval_accuracy": 0.45848303393213574,
|
| 566 |
+
"eval_loss": 1.0162004232406616,
|
| 567 |
+
"eval_runtime": 54.455,
|
| 568 |
+
"eval_samples_per_second": 92.003,
|
| 569 |
+
"eval_steps_per_second": 11.514,
|
| 570 |
+
"step": 37000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.55,
|
| 574 |
+
"learning_rate": 1.0551111111111113e-06,
|
| 575 |
+
"loss": 1.0443,
|
| 576 |
+
"step": 38000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.55,
|
| 580 |
+
"eval_accuracy": 0.46447105788423154,
|
| 581 |
+
"eval_loss": 1.018208622932434,
|
| 582 |
+
"eval_runtime": 54.3633,
|
| 583 |
+
"eval_samples_per_second": 92.158,
|
| 584 |
+
"eval_steps_per_second": 11.534,
|
| 585 |
+
"step": 38000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.59,
|
| 589 |
+
"learning_rate": 1.082888888888889e-06,
|
| 590 |
+
"loss": 1.0468,
|
| 591 |
+
"step": 39000
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.59,
|
| 595 |
+
"eval_accuracy": 0.4620758483033932,
|
| 596 |
+
"eval_loss": 1.0207008123397827,
|
| 597 |
+
"eval_runtime": 54.3964,
|
| 598 |
+
"eval_samples_per_second": 92.102,
|
| 599 |
+
"eval_steps_per_second": 11.527,
|
| 600 |
+
"step": 39000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.63,
|
| 604 |
+
"learning_rate": 1.1106666666666668e-06,
|
| 605 |
+
"loss": 1.0374,
|
| 606 |
+
"step": 40000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.63,
|
| 610 |
+
"eval_accuracy": 0.469061876247505,
|
| 611 |
+
"eval_loss": 1.0093586444854736,
|
| 612 |
+
"eval_runtime": 54.4765,
|
| 613 |
+
"eval_samples_per_second": 91.966,
|
| 614 |
+
"eval_steps_per_second": 11.51,
|
| 615 |
+
"step": 40000
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 1.67,
|
| 619 |
+
"learning_rate": 1.1384166666666669e-06,
|
| 620 |
+
"loss": 1.0398,
|
| 621 |
+
"step": 41000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 1.67,
|
| 625 |
+
"eval_accuracy": 0.4590818363273453,
|
| 626 |
+
"eval_loss": 1.0263862609863281,
|
| 627 |
+
"eval_runtime": 54.4342,
|
| 628 |
+
"eval_samples_per_second": 92.038,
|
| 629 |
+
"eval_steps_per_second": 11.518,
|
| 630 |
+
"step": 41000
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 1.71,
|
| 634 |
+
"learning_rate": 1.1661944444444447e-06,
|
| 635 |
+
"loss": 1.0353,
|
| 636 |
+
"step": 42000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 1.71,
|
| 640 |
+
"eval_accuracy": 0.4748502994011976,
|
| 641 |
+
"eval_loss": 1.005388617515564,
|
| 642 |
+
"eval_runtime": 54.5239,
|
| 643 |
+
"eval_samples_per_second": 91.886,
|
| 644 |
+
"eval_steps_per_second": 11.5,
|
| 645 |
+
"step": 42000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 1.75,
|
| 649 |
+
"learning_rate": 1.1939444444444445e-06,
|
| 650 |
+
"loss": 1.0366,
|
| 651 |
+
"step": 43000
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.75,
|
| 655 |
+
"eval_accuracy": 0.4479041916167665,
|
| 656 |
+
"eval_loss": 1.0292167663574219,
|
| 657 |
+
"eval_runtime": 54.3843,
|
| 658 |
+
"eval_samples_per_second": 92.122,
|
| 659 |
+
"eval_steps_per_second": 11.529,
|
| 660 |
+
"step": 43000
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.79,
|
| 664 |
+
"learning_rate": 1.2217222222222223e-06,
|
| 665 |
+
"loss": 1.0371,
|
| 666 |
+
"step": 44000
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 1.79,
|
| 670 |
+
"eval_accuracy": 0.48243512974051894,
|
| 671 |
+
"eval_loss": 1.0023199319839478,
|
| 672 |
+
"eval_runtime": 54.4813,
|
| 673 |
+
"eval_samples_per_second": 91.958,
|
| 674 |
+
"eval_steps_per_second": 11.509,
|
| 675 |
+
"step": 44000
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.83,
|
| 679 |
+
"learning_rate": 1.2494722222222224e-06,
|
| 680 |
+
"loss": 1.0347,
|
| 681 |
+
"step": 45000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.83,
|
| 685 |
+
"eval_accuracy": 0.47924151696606787,
|
| 686 |
+
"eval_loss": 1.0037392377853394,
|
| 687 |
+
"eval_runtime": 54.6308,
|
| 688 |
+
"eval_samples_per_second": 91.706,
|
| 689 |
+
"eval_steps_per_second": 11.477,
|
| 690 |
+
"step": 45000
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 1.87,
|
| 694 |
+
"learning_rate": 1.2772500000000001e-06,
|
| 695 |
+
"loss": 1.0346,
|
| 696 |
+
"step": 46000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.87,
|
| 700 |
+
"eval_accuracy": 0.47764471057884234,
|
| 701 |
+
"eval_loss": 1.008847951889038,
|
| 702 |
+
"eval_runtime": 54.5558,
|
| 703 |
+
"eval_samples_per_second": 91.833,
|
| 704 |
+
"eval_steps_per_second": 11.493,
|
| 705 |
+
"step": 46000
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 1.91,
|
| 709 |
+
"learning_rate": 1.3050000000000002e-06,
|
| 710 |
+
"loss": 1.0267,
|
| 711 |
+
"step": 47000
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 1.91,
|
| 715 |
+
"eval_accuracy": 0.4934131736526946,
|
| 716 |
+
"eval_loss": 0.9937484264373779,
|
| 717 |
+
"eval_runtime": 54.422,
|
| 718 |
+
"eval_samples_per_second": 92.058,
|
| 719 |
+
"eval_steps_per_second": 11.521,
|
| 720 |
+
"step": 47000
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 1.96,
|
| 724 |
+
"learning_rate": 1.3327777777777778e-06,
|
| 725 |
+
"loss": 1.0319,
|
| 726 |
+
"step": 48000
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 1.96,
|
| 730 |
+
"eval_accuracy": 0.475249500998004,
|
| 731 |
+
"eval_loss": 1.0211399793624878,
|
| 732 |
+
"eval_runtime": 54.503,
|
| 733 |
+
"eval_samples_per_second": 91.921,
|
| 734 |
+
"eval_steps_per_second": 11.504,
|
| 735 |
+
"step": 48000
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.0,
|
| 739 |
+
"learning_rate": 1.3605555555555555e-06,
|
| 740 |
+
"loss": 1.024,
|
| 741 |
+
"step": 49000
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.0,
|
| 745 |
+
"eval_accuracy": 0.49860279441117766,
|
| 746 |
+
"eval_loss": 0.9889349937438965,
|
| 747 |
+
"eval_runtime": 54.5076,
|
| 748 |
+
"eval_samples_per_second": 91.914,
|
| 749 |
+
"eval_steps_per_second": 11.503,
|
| 750 |
+
"step": 49000
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 2.04,
|
| 754 |
+
"learning_rate": 1.3883055555555556e-06,
|
| 755 |
+
"loss": 1.025,
|
| 756 |
+
"step": 50000
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 2.04,
|
| 760 |
+
"eval_accuracy": 0.4872255489021956,
|
| 761 |
+
"eval_loss": 1.0002667903900146,
|
| 762 |
+
"eval_runtime": 54.5376,
|
| 763 |
+
"eval_samples_per_second": 91.863,
|
| 764 |
+
"eval_steps_per_second": 11.497,
|
| 765 |
+
"step": 50000
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.08,
|
| 769 |
+
"learning_rate": 1.4160833333333334e-06,
|
| 770 |
+
"loss": 1.0258,
|
| 771 |
+
"step": 51000
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.08,
|
| 775 |
+
"eval_accuracy": 0.49101796407185627,
|
| 776 |
+
"eval_loss": 0.9935734272003174,
|
| 777 |
+
"eval_runtime": 54.4157,
|
| 778 |
+
"eval_samples_per_second": 92.069,
|
| 779 |
+
"eval_steps_per_second": 11.522,
|
| 780 |
+
"step": 51000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 2.12,
|
| 784 |
+
"learning_rate": 1.4438333333333332e-06,
|
| 785 |
+
"loss": 1.0204,
|
| 786 |
+
"step": 52000
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 2.12,
|
| 790 |
+
"eval_accuracy": 0.47345309381237527,
|
| 791 |
+
"eval_loss": 1.0160945653915405,
|
| 792 |
+
"eval_runtime": 54.499,
|
| 793 |
+
"eval_samples_per_second": 91.928,
|
| 794 |
+
"eval_steps_per_second": 11.505,
|
| 795 |
+
"step": 52000
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.16,
|
| 799 |
+
"learning_rate": 1.471611111111111e-06,
|
| 800 |
+
"loss": 1.0269,
|
| 801 |
+
"step": 53000
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 2.16,
|
| 805 |
+
"eval_accuracy": 0.5011976047904192,
|
| 806 |
+
"eval_loss": 0.9884127378463745,
|
| 807 |
+
"eval_runtime": 54.5298,
|
| 808 |
+
"eval_samples_per_second": 91.876,
|
| 809 |
+
"eval_steps_per_second": 11.498,
|
| 810 |
+
"step": 53000
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 2.2,
|
| 814 |
+
"learning_rate": 1.499361111111111e-06,
|
| 815 |
+
"loss": 1.0217,
|
| 816 |
+
"step": 54000
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.2,
|
| 820 |
+
"eval_accuracy": 0.49660678642714573,
|
| 821 |
+
"eval_loss": 0.9905897378921509,
|
| 822 |
+
"eval_runtime": 54.8026,
|
| 823 |
+
"eval_samples_per_second": 91.419,
|
| 824 |
+
"eval_steps_per_second": 11.441,
|
| 825 |
+
"step": 54000
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 2.24,
|
| 829 |
+
"learning_rate": 1.5271388888888889e-06,
|
| 830 |
+
"loss": 1.0227,
|
| 831 |
+
"step": 55000
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 2.24,
|
| 835 |
+
"eval_accuracy": 0.5043912175648703,
|
| 836 |
+
"eval_loss": 0.9894190430641174,
|
| 837 |
+
"eval_runtime": 54.4731,
|
| 838 |
+
"eval_samples_per_second": 91.972,
|
| 839 |
+
"eval_steps_per_second": 11.51,
|
| 840 |
+
"step": 55000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 2.28,
|
| 844 |
+
"learning_rate": 1.554888888888889e-06,
|
| 845 |
+
"loss": 1.0155,
|
| 846 |
+
"step": 56000
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 2.28,
|
| 850 |
+
"eval_accuracy": 0.4612774451097804,
|
| 851 |
+
"eval_loss": 1.0234980583190918,
|
| 852 |
+
"eval_runtime": 54.3806,
|
| 853 |
+
"eval_samples_per_second": 92.129,
|
| 854 |
+
"eval_steps_per_second": 11.53,
|
| 855 |
+
"step": 56000
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.32,
|
| 859 |
+
"learning_rate": 1.5826666666666667e-06,
|
| 860 |
+
"loss": 1.0148,
|
| 861 |
+
"step": 57000
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 2.32,
|
| 865 |
+
"eval_accuracy": 0.4942115768463074,
|
| 866 |
+
"eval_loss": 0.9913824796676636,
|
| 867 |
+
"eval_runtime": 54.3149,
|
| 868 |
+
"eval_samples_per_second": 92.24,
|
| 869 |
+
"eval_steps_per_second": 11.544,
|
| 870 |
+
"step": 57000
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.36,
|
| 874 |
+
"learning_rate": 1.6104166666666666e-06,
|
| 875 |
+
"loss": 1.017,
|
| 876 |
+
"step": 58000
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 2.36,
|
| 880 |
+
"eval_accuracy": 0.49161676646706587,
|
| 881 |
+
"eval_loss": 0.9987541437149048,
|
| 882 |
+
"eval_runtime": 54.3134,
|
| 883 |
+
"eval_samples_per_second": 92.243,
|
| 884 |
+
"eval_steps_per_second": 11.544,
|
| 885 |
+
"step": 58000
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.4,
|
| 889 |
+
"learning_rate": 1.6381944444444445e-06,
|
| 890 |
+
"loss": 1.0134,
|
| 891 |
+
"step": 59000
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.4,
|
| 895 |
+
"eval_accuracy": 0.5003992015968064,
|
| 896 |
+
"eval_loss": 0.9873433709144592,
|
| 897 |
+
"eval_runtime": 54.2489,
|
| 898 |
+
"eval_samples_per_second": 92.352,
|
| 899 |
+
"eval_steps_per_second": 11.558,
|
| 900 |
+
"step": 59000
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.44,
|
| 904 |
+
"learning_rate": 1.6659444444444446e-06,
|
| 905 |
+
"loss": 1.019,
|
| 906 |
+
"step": 60000
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 2.44,
|
| 910 |
+
"eval_accuracy": 0.5011976047904192,
|
| 911 |
+
"eval_loss": 0.9846659898757935,
|
| 912 |
+
"eval_runtime": 54.3416,
|
| 913 |
+
"eval_samples_per_second": 92.195,
|
| 914 |
+
"eval_steps_per_second": 11.538,
|
| 915 |
+
"step": 60000
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 2.49,
|
| 919 |
+
"learning_rate": 1.6937222222222222e-06,
|
| 920 |
+
"loss": 1.0168,
|
| 921 |
+
"step": 61000
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.49,
|
| 925 |
+
"eval_accuracy": 0.5039920159680639,
|
| 926 |
+
"eval_loss": 0.9832655191421509,
|
| 927 |
+
"eval_runtime": 54.5888,
|
| 928 |
+
"eval_samples_per_second": 91.777,
|
| 929 |
+
"eval_steps_per_second": 11.486,
|
| 930 |
+
"step": 61000
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 2.53,
|
| 934 |
+
"learning_rate": 1.7214722222222223e-06,
|
| 935 |
+
"loss": 1.0158,
|
| 936 |
+
"step": 62000
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 2.53,
|
| 940 |
+
"eval_accuracy": 0.4936127744510978,
|
| 941 |
+
"eval_loss": 1.0000824928283691,
|
| 942 |
+
"eval_runtime": 54.3893,
|
| 943 |
+
"eval_samples_per_second": 92.114,
|
| 944 |
+
"eval_steps_per_second": 11.528,
|
| 945 |
+
"step": 62000
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 2.57,
|
| 949 |
+
"learning_rate": 1.7492500000000002e-06,
|
| 950 |
+
"loss": 1.0132,
|
| 951 |
+
"step": 63000
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 2.57,
|
| 955 |
+
"eval_accuracy": 0.5051896207584831,
|
| 956 |
+
"eval_loss": 0.988318681716919,
|
| 957 |
+
"eval_runtime": 54.7369,
|
| 958 |
+
"eval_samples_per_second": 91.529,
|
| 959 |
+
"eval_steps_per_second": 11.455,
|
| 960 |
+
"step": 63000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 2.61,
|
| 964 |
+
"learning_rate": 1.777e-06,
|
| 965 |
+
"loss": 1.0107,
|
| 966 |
+
"step": 64000
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 2.61,
|
| 970 |
+
"eval_accuracy": 0.5047904191616767,
|
| 971 |
+
"eval_loss": 0.9822149872779846,
|
| 972 |
+
"eval_runtime": 54.2926,
|
| 973 |
+
"eval_samples_per_second": 92.278,
|
| 974 |
+
"eval_steps_per_second": 11.549,
|
| 975 |
+
"step": 64000
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.65,
|
| 979 |
+
"learning_rate": 1.8047777777777779e-06,
|
| 980 |
+
"loss": 1.0114,
|
| 981 |
+
"step": 65000
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 2.65,
|
| 985 |
+
"eval_accuracy": 0.5107784431137724,
|
| 986 |
+
"eval_loss": 0.9842711091041565,
|
| 987 |
+
"eval_runtime": 54.5182,
|
| 988 |
+
"eval_samples_per_second": 91.896,
|
| 989 |
+
"eval_steps_per_second": 11.501,
|
| 990 |
+
"step": 65000
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 2.69,
|
| 994 |
+
"learning_rate": 1.8325277777777777e-06,
|
| 995 |
+
"loss": 1.0118,
|
| 996 |
+
"step": 66000
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 2.69,
|
| 1000 |
+
"eval_accuracy": 0.5121756487025948,
|
| 1001 |
+
"eval_loss": 0.977724015712738,
|
| 1002 |
+
"eval_runtime": 54.5747,
|
| 1003 |
+
"eval_samples_per_second": 91.801,
|
| 1004 |
+
"eval_steps_per_second": 11.489,
|
| 1005 |
+
"step": 66000
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.73,
|
| 1009 |
+
"learning_rate": 1.8603055555555557e-06,
|
| 1010 |
+
"loss": 1.0109,
|
| 1011 |
+
"step": 67000
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 2.73,
|
| 1015 |
+
"eval_accuracy": 0.4934131736526946,
|
| 1016 |
+
"eval_loss": 0.9877586364746094,
|
| 1017 |
+
"eval_runtime": 54.5324,
|
| 1018 |
+
"eval_samples_per_second": 91.872,
|
| 1019 |
+
"eval_steps_per_second": 11.498,
|
| 1020 |
+
"step": 67000
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 2.77,
|
| 1024 |
+
"learning_rate": 1.8880555555555558e-06,
|
| 1025 |
+
"loss": 1.0098,
|
| 1026 |
+
"step": 68000
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.77,
|
| 1030 |
+
"eval_accuracy": 0.5091816367265469,
|
| 1031 |
+
"eval_loss": 0.982232391834259,
|
| 1032 |
+
"eval_runtime": 54.6273,
|
| 1033 |
+
"eval_samples_per_second": 91.712,
|
| 1034 |
+
"eval_steps_per_second": 11.478,
|
| 1035 |
+
"step": 68000
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 2.81,
|
| 1039 |
+
"learning_rate": 1.9158333333333333e-06,
|
| 1040 |
+
"loss": 1.0082,
|
| 1041 |
+
"step": 69000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.81,
|
| 1045 |
+
"eval_accuracy": 0.513373253493014,
|
| 1046 |
+
"eval_loss": 0.9778430461883545,
|
| 1047 |
+
"eval_runtime": 54.819,
|
| 1048 |
+
"eval_samples_per_second": 91.392,
|
| 1049 |
+
"eval_steps_per_second": 11.438,
|
| 1050 |
+
"step": 69000
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 2.85,
|
| 1054 |
+
"learning_rate": 1.943583333333333e-06,
|
| 1055 |
+
"loss": 1.01,
|
| 1056 |
+
"step": 70000
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 2.85,
|
| 1060 |
+
"eval_accuracy": 0.5093812375249501,
|
| 1061 |
+
"eval_loss": 0.9849628806114197,
|
| 1062 |
+
"eval_runtime": 54.4809,
|
| 1063 |
+
"eval_samples_per_second": 91.959,
|
| 1064 |
+
"eval_steps_per_second": 11.509,
|
| 1065 |
+
"step": 70000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.89,
|
| 1069 |
+
"learning_rate": 1.971361111111111e-06,
|
| 1070 |
+
"loss": 1.002,
|
| 1071 |
+
"step": 71000
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 2.89,
|
| 1075 |
+
"eval_accuracy": 0.51437125748503,
|
| 1076 |
+
"eval_loss": 0.9828128218650818,
|
| 1077 |
+
"eval_runtime": 54.4905,
|
| 1078 |
+
"eval_samples_per_second": 91.943,
|
| 1079 |
+
"eval_steps_per_second": 11.507,
|
| 1080 |
+
"step": 71000
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 2.93,
|
| 1084 |
+
"learning_rate": 1.9991111111111115e-06,
|
| 1085 |
+
"loss": 1.0051,
|
| 1086 |
+
"step": 72000
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 2.93,
|
| 1090 |
+
"eval_accuracy": 0.5033932135728543,
|
| 1091 |
+
"eval_loss": 0.9967072010040283,
|
| 1092 |
+
"eval_runtime": 54.4773,
|
| 1093 |
+
"eval_samples_per_second": 91.965,
|
| 1094 |
+
"eval_steps_per_second": 11.509,
|
| 1095 |
+
"step": 72000
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 2.97,
|
| 1099 |
+
"learning_rate": 2.026888888888889e-06,
|
| 1100 |
+
"loss": 1.0059,
|
| 1101 |
+
"step": 73000
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 2.97,
|
| 1105 |
+
"eval_accuracy": 0.5131736526946108,
|
| 1106 |
+
"eval_loss": 0.9793582558631897,
|
| 1107 |
+
"eval_runtime": 54.5302,
|
| 1108 |
+
"eval_samples_per_second": 91.876,
|
| 1109 |
+
"eval_steps_per_second": 11.498,
|
| 1110 |
+
"step": 73000
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 3.01,
|
| 1114 |
+
"learning_rate": 2.054638888888889e-06,
|
| 1115 |
+
"loss": 1.0038,
|
| 1116 |
+
"step": 74000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 3.01,
|
| 1120 |
+
"eval_accuracy": 0.5127744510978044,
|
| 1121 |
+
"eval_loss": 0.9742932319641113,
|
| 1122 |
+
"eval_runtime": 54.4141,
|
| 1123 |
+
"eval_samples_per_second": 92.072,
|
| 1124 |
+
"eval_steps_per_second": 11.523,
|
| 1125 |
+
"step": 74000
|
| 1126 |
+
}
|
| 1127 |
+
],
|
| 1128 |
+
"logging_steps": 1000,
|
| 1129 |
+
"max_steps": 10000000,
|
| 1130 |
+
"num_train_epochs": 408,
|
| 1131 |
+
"save_steps": 1000,
|
| 1132 |
+
"total_flos": 1.546854957640581e+17,
|
| 1133 |
+
"trial_name": null,
|
| 1134 |
+
"trial_params": null
|
| 1135 |
+
}
|
checkpoint-74000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:801932cde7104ce385ac1157cb55104d9d1819c965a9990b2a3d508b76c6c359
|
| 3 |
+
size 4091
|
checkpoint-74000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|