Training in progress, step 100000, checkpoint
Browse files- checkpoint-100000/added_tokens.json +5 -0
- checkpoint-100000/config.json +46 -0
- checkpoint-100000/merges.txt +0 -0
- checkpoint-100000/optimizer.pt +3 -0
- checkpoint-100000/pytorch_model.bin +3 -0
- checkpoint-100000/rng_state.pth +3 -0
- checkpoint-100000/scheduler.pt +3 -0
- checkpoint-100000/special_tokens_map.json +6 -0
- checkpoint-100000/tokenizer_config.json +7 -0
- checkpoint-100000/trainer_state.json +1525 -0
- checkpoint-100000/training_args.bin +3 -0
- checkpoint-100000/vocab.json +0 -0
checkpoint-100000/added_tokens.json
ADDED
|
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"<bos>": 40478,
|
| 3 |
+
"<eos>": 40479,
|
| 4 |
+
"<pad>": 40480
|
| 5 |
+
}
|
checkpoint-100000/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": 2,
|
| 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": "last",
|
| 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-100000/merges.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
checkpoint-100000/optimizer.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d4af002d07d4a4ed9b10b0e965c0c6098ec29ca6bc2884afcb0d5c7eecac3066
|
| 3 |
+
size 365301299
|
checkpoint-100000/pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7c6aaaf9dec1d9feab5a5595d3a66ad5e6ceb3ca9b58c47482f1a76a6e340b3a
|
| 3 |
+
size 182651202
|
checkpoint-100000/rng_state.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:923b58fcb633c1a452ba2dd3472dfaecfe87e9d879a0a30892a5b2ab959adab1
|
| 3 |
+
size 14575
|
checkpoint-100000/scheduler.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:923a68b636e5b6ddcf40ef2f20e6076c338cfaa77fb461a2a6e23a2a2346d709
|
| 3 |
+
size 627
|
checkpoint-100000/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-100000/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-100000/trainer_state.json
ADDED
|
@@ -0,0 +1,1525 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": 0.9834555387496948,
|
| 3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-100000",
|
| 4 |
+
"epoch": 4.074315514993481,
|
| 5 |
+
"eval_steps": 1000,
|
| 6 |
+
"global_step": 100000,
|
| 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": 1.1078,
|
| 15 |
+
"step": 1
|
| 16 |
+
},
|
| 17 |
+
{
|
| 18 |
+
"epoch": 0.04,
|
| 19 |
+
"learning_rate": 2.7750000000000004e-08,
|
| 20 |
+
"loss": 1.128,
|
| 21 |
+
"step": 1000
|
| 22 |
+
},
|
| 23 |
+
{
|
| 24 |
+
"epoch": 0.04,
|
| 25 |
+
"eval_accuracy": 0.330938123752495,
|
| 26 |
+
"eval_loss": 1.1083118915557861,
|
| 27 |
+
"eval_runtime": 12.3979,
|
| 28 |
+
"eval_samples_per_second": 404.1,
|
| 29 |
+
"eval_steps_per_second": 50.573,
|
| 30 |
+
"step": 1000
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"epoch": 0.08,
|
| 34 |
+
"learning_rate": 5.5527777777777784e-08,
|
| 35 |
+
"loss": 1.1164,
|
| 36 |
+
"step": 2000
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"epoch": 0.08,
|
| 40 |
+
"eval_accuracy": 0.3323353293413174,
|
| 41 |
+
"eval_loss": 1.102672815322876,
|
| 42 |
+
"eval_runtime": 12.2861,
|
| 43 |
+
"eval_samples_per_second": 407.778,
|
| 44 |
+
"eval_steps_per_second": 51.033,
|
| 45 |
+
"step": 2000
|
| 46 |
+
},
|
| 47 |
+
{
|
| 48 |
+
"epoch": 0.12,
|
| 49 |
+
"learning_rate": 8.327777777777778e-08,
|
| 50 |
+
"loss": 1.1158,
|
| 51 |
+
"step": 3000
|
| 52 |
+
},
|
| 53 |
+
{
|
| 54 |
+
"epoch": 0.12,
|
| 55 |
+
"eval_accuracy": 0.34211576846307384,
|
| 56 |
+
"eval_loss": 1.1024774312973022,
|
| 57 |
+
"eval_runtime": 12.3746,
|
| 58 |
+
"eval_samples_per_second": 404.863,
|
| 59 |
+
"eval_steps_per_second": 50.668,
|
| 60 |
+
"step": 3000
|
| 61 |
+
},
|
| 62 |
+
{
|
| 63 |
+
"epoch": 0.16,
|
| 64 |
+
"learning_rate": 1.1105555555555557e-07,
|
| 65 |
+
"loss": 1.1115,
|
| 66 |
+
"step": 4000
|
| 67 |
+
},
|
| 68 |
+
{
|
| 69 |
+
"epoch": 0.16,
|
| 70 |
+
"eval_accuracy": 0.34890219560878244,
|
| 71 |
+
"eval_loss": 1.1012382507324219,
|
| 72 |
+
"eval_runtime": 12.5405,
|
| 73 |
+
"eval_samples_per_second": 399.505,
|
| 74 |
+
"eval_steps_per_second": 49.998,
|
| 75 |
+
"step": 4000
|
| 76 |
+
},
|
| 77 |
+
{
|
| 78 |
+
"epoch": 0.2,
|
| 79 |
+
"learning_rate": 1.3880555555555558e-07,
|
| 80 |
+
"loss": 1.1141,
|
| 81 |
+
"step": 5000
|
| 82 |
+
},
|
| 83 |
+
{
|
| 84 |
+
"epoch": 0.2,
|
| 85 |
+
"eval_accuracy": 0.3534930139720559,
|
| 86 |
+
"eval_loss": 1.1002192497253418,
|
| 87 |
+
"eval_runtime": 12.3001,
|
| 88 |
+
"eval_samples_per_second": 407.314,
|
| 89 |
+
"eval_steps_per_second": 50.975,
|
| 90 |
+
"step": 5000
|
| 91 |
+
},
|
| 92 |
+
{
|
| 93 |
+
"epoch": 0.24,
|
| 94 |
+
"learning_rate": 1.6658333333333335e-07,
|
| 95 |
+
"loss": 1.112,
|
| 96 |
+
"step": 6000
|
| 97 |
+
},
|
| 98 |
+
{
|
| 99 |
+
"epoch": 0.24,
|
| 100 |
+
"eval_accuracy": 0.3524950099800399,
|
| 101 |
+
"eval_loss": 1.100056767463684,
|
| 102 |
+
"eval_runtime": 12.4062,
|
| 103 |
+
"eval_samples_per_second": 403.831,
|
| 104 |
+
"eval_steps_per_second": 50.539,
|
| 105 |
+
"step": 6000
|
| 106 |
+
},
|
| 107 |
+
{
|
| 108 |
+
"epoch": 0.29,
|
| 109 |
+
"learning_rate": 1.9433333333333334e-07,
|
| 110 |
+
"loss": 1.1115,
|
| 111 |
+
"step": 7000
|
| 112 |
+
},
|
| 113 |
+
{
|
| 114 |
+
"epoch": 0.29,
|
| 115 |
+
"eval_accuracy": 0.34331337325349304,
|
| 116 |
+
"eval_loss": 1.098986029624939,
|
| 117 |
+
"eval_runtime": 12.4456,
|
| 118 |
+
"eval_samples_per_second": 402.551,
|
| 119 |
+
"eval_steps_per_second": 50.379,
|
| 120 |
+
"step": 7000
|
| 121 |
+
},
|
| 122 |
+
{
|
| 123 |
+
"epoch": 0.33,
|
| 124 |
+
"learning_rate": 2.2211111111111114e-07,
|
| 125 |
+
"loss": 1.109,
|
| 126 |
+
"step": 8000
|
| 127 |
+
},
|
| 128 |
+
{
|
| 129 |
+
"epoch": 0.33,
|
| 130 |
+
"eval_accuracy": 0.3347305389221557,
|
| 131 |
+
"eval_loss": 1.098678469657898,
|
| 132 |
+
"eval_runtime": 12.5978,
|
| 133 |
+
"eval_samples_per_second": 397.688,
|
| 134 |
+
"eval_steps_per_second": 49.771,
|
| 135 |
+
"step": 8000
|
| 136 |
+
},
|
| 137 |
+
{
|
| 138 |
+
"epoch": 0.37,
|
| 139 |
+
"learning_rate": 2.4986111111111113e-07,
|
| 140 |
+
"loss": 1.1117,
|
| 141 |
+
"step": 9000
|
| 142 |
+
},
|
| 143 |
+
{
|
| 144 |
+
"epoch": 0.37,
|
| 145 |
+
"eval_accuracy": 0.34311377245508984,
|
| 146 |
+
"eval_loss": 1.0984419584274292,
|
| 147 |
+
"eval_runtime": 12.313,
|
| 148 |
+
"eval_samples_per_second": 406.886,
|
| 149 |
+
"eval_steps_per_second": 50.922,
|
| 150 |
+
"step": 9000
|
| 151 |
+
},
|
| 152 |
+
{
|
| 153 |
+
"epoch": 0.41,
|
| 154 |
+
"learning_rate": 2.776388888888889e-07,
|
| 155 |
+
"loss": 1.1081,
|
| 156 |
+
"step": 10000
|
| 157 |
+
},
|
| 158 |
+
{
|
| 159 |
+
"epoch": 0.41,
|
| 160 |
+
"eval_accuracy": 0.35429141716566864,
|
| 161 |
+
"eval_loss": 1.0968743562698364,
|
| 162 |
+
"eval_runtime": 12.4088,
|
| 163 |
+
"eval_samples_per_second": 403.744,
|
| 164 |
+
"eval_steps_per_second": 50.528,
|
| 165 |
+
"step": 10000
|
| 166 |
+
},
|
| 167 |
+
{
|
| 168 |
+
"epoch": 0.45,
|
| 169 |
+
"learning_rate": 3.053888888888889e-07,
|
| 170 |
+
"loss": 1.107,
|
| 171 |
+
"step": 11000
|
| 172 |
+
},
|
| 173 |
+
{
|
| 174 |
+
"epoch": 0.45,
|
| 175 |
+
"eval_accuracy": 0.3722554890219561,
|
| 176 |
+
"eval_loss": 1.0950665473937988,
|
| 177 |
+
"eval_runtime": 12.5775,
|
| 178 |
+
"eval_samples_per_second": 398.33,
|
| 179 |
+
"eval_steps_per_second": 49.851,
|
| 180 |
+
"step": 11000
|
| 181 |
+
},
|
| 182 |
+
{
|
| 183 |
+
"epoch": 0.49,
|
| 184 |
+
"learning_rate": 3.331666666666667e-07,
|
| 185 |
+
"loss": 1.1057,
|
| 186 |
+
"step": 12000
|
| 187 |
+
},
|
| 188 |
+
{
|
| 189 |
+
"epoch": 0.49,
|
| 190 |
+
"eval_accuracy": 0.37544910179640717,
|
| 191 |
+
"eval_loss": 1.0940738916397095,
|
| 192 |
+
"eval_runtime": 12.5186,
|
| 193 |
+
"eval_samples_per_second": 400.203,
|
| 194 |
+
"eval_steps_per_second": 50.085,
|
| 195 |
+
"step": 12000
|
| 196 |
+
},
|
| 197 |
+
{
|
| 198 |
+
"epoch": 0.53,
|
| 199 |
+
"learning_rate": 3.609166666666667e-07,
|
| 200 |
+
"loss": 1.1069,
|
| 201 |
+
"step": 13000
|
| 202 |
+
},
|
| 203 |
+
{
|
| 204 |
+
"epoch": 0.53,
|
| 205 |
+
"eval_accuracy": 0.3401197604790419,
|
| 206 |
+
"eval_loss": 1.0937162637710571,
|
| 207 |
+
"eval_runtime": 12.2594,
|
| 208 |
+
"eval_samples_per_second": 408.666,
|
| 209 |
+
"eval_steps_per_second": 51.144,
|
| 210 |
+
"step": 13000
|
| 211 |
+
},
|
| 212 |
+
{
|
| 213 |
+
"epoch": 0.57,
|
| 214 |
+
"learning_rate": 3.886944444444445e-07,
|
| 215 |
+
"loss": 1.1046,
|
| 216 |
+
"step": 14000
|
| 217 |
+
},
|
| 218 |
+
{
|
| 219 |
+
"epoch": 0.57,
|
| 220 |
+
"eval_accuracy": 0.37604790419161677,
|
| 221 |
+
"eval_loss": 1.0926916599273682,
|
| 222 |
+
"eval_runtime": 12.256,
|
| 223 |
+
"eval_samples_per_second": 408.78,
|
| 224 |
+
"eval_steps_per_second": 51.159,
|
| 225 |
+
"step": 14000
|
| 226 |
+
},
|
| 227 |
+
{
|
| 228 |
+
"epoch": 0.61,
|
| 229 |
+
"learning_rate": 4.164444444444445e-07,
|
| 230 |
+
"loss": 1.1046,
|
| 231 |
+
"step": 15000
|
| 232 |
+
},
|
| 233 |
+
{
|
| 234 |
+
"epoch": 0.61,
|
| 235 |
+
"eval_accuracy": 0.39201596806387223,
|
| 236 |
+
"eval_loss": 1.0912976264953613,
|
| 237 |
+
"eval_runtime": 12.5019,
|
| 238 |
+
"eval_samples_per_second": 400.74,
|
| 239 |
+
"eval_steps_per_second": 50.152,
|
| 240 |
+
"step": 15000
|
| 241 |
+
},
|
| 242 |
+
{
|
| 243 |
+
"epoch": 0.65,
|
| 244 |
+
"learning_rate": 4.442222222222223e-07,
|
| 245 |
+
"loss": 1.1052,
|
| 246 |
+
"step": 16000
|
| 247 |
+
},
|
| 248 |
+
{
|
| 249 |
+
"epoch": 0.65,
|
| 250 |
+
"eval_accuracy": 0.393812375249501,
|
| 251 |
+
"eval_loss": 1.0901482105255127,
|
| 252 |
+
"eval_runtime": 12.3407,
|
| 253 |
+
"eval_samples_per_second": 405.973,
|
| 254 |
+
"eval_steps_per_second": 50.807,
|
| 255 |
+
"step": 16000
|
| 256 |
+
},
|
| 257 |
+
{
|
| 258 |
+
"epoch": 0.69,
|
| 259 |
+
"learning_rate": 4.7197222222222224e-07,
|
| 260 |
+
"loss": 1.1011,
|
| 261 |
+
"step": 17000
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 0.69,
|
| 265 |
+
"eval_accuracy": 0.3932135728542914,
|
| 266 |
+
"eval_loss": 1.0901678800582886,
|
| 267 |
+
"eval_runtime": 12.3644,
|
| 268 |
+
"eval_samples_per_second": 405.197,
|
| 269 |
+
"eval_steps_per_second": 50.71,
|
| 270 |
+
"step": 17000
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 0.73,
|
| 274 |
+
"learning_rate": 4.997500000000001e-07,
|
| 275 |
+
"loss": 1.1,
|
| 276 |
+
"step": 18000
|
| 277 |
+
},
|
| 278 |
+
{
|
| 279 |
+
"epoch": 0.73,
|
| 280 |
+
"eval_accuracy": 0.38143712574850297,
|
| 281 |
+
"eval_loss": 1.0897998809814453,
|
| 282 |
+
"eval_runtime": 12.3516,
|
| 283 |
+
"eval_samples_per_second": 405.615,
|
| 284 |
+
"eval_steps_per_second": 50.763,
|
| 285 |
+
"step": 18000
|
| 286 |
+
},
|
| 287 |
+
{
|
| 288 |
+
"epoch": 0.77,
|
| 289 |
+
"learning_rate": 5.275277777777778e-07,
|
| 290 |
+
"loss": 1.1007,
|
| 291 |
+
"step": 19000
|
| 292 |
+
},
|
| 293 |
+
{
|
| 294 |
+
"epoch": 0.77,
|
| 295 |
+
"eval_accuracy": 0.40678642714570856,
|
| 296 |
+
"eval_loss": 1.0876121520996094,
|
| 297 |
+
"eval_runtime": 12.6608,
|
| 298 |
+
"eval_samples_per_second": 395.708,
|
| 299 |
+
"eval_steps_per_second": 49.523,
|
| 300 |
+
"step": 19000
|
| 301 |
+
},
|
| 302 |
+
{
|
| 303 |
+
"epoch": 0.81,
|
| 304 |
+
"learning_rate": 5.552777777777778e-07,
|
| 305 |
+
"loss": 1.1013,
|
| 306 |
+
"step": 20000
|
| 307 |
+
},
|
| 308 |
+
{
|
| 309 |
+
"epoch": 0.81,
|
| 310 |
+
"eval_accuracy": 0.4053892215568862,
|
| 311 |
+
"eval_loss": 1.0876350402832031,
|
| 312 |
+
"eval_runtime": 12.3243,
|
| 313 |
+
"eval_samples_per_second": 406.513,
|
| 314 |
+
"eval_steps_per_second": 50.875,
|
| 315 |
+
"step": 20000
|
| 316 |
+
},
|
| 317 |
+
{
|
| 318 |
+
"epoch": 0.86,
|
| 319 |
+
"learning_rate": 5.830555555555556e-07,
|
| 320 |
+
"loss": 1.0987,
|
| 321 |
+
"step": 21000
|
| 322 |
+
},
|
| 323 |
+
{
|
| 324 |
+
"epoch": 0.86,
|
| 325 |
+
"eval_accuracy": 0.40858283433133735,
|
| 326 |
+
"eval_loss": 1.085940957069397,
|
| 327 |
+
"eval_runtime": 12.3217,
|
| 328 |
+
"eval_samples_per_second": 406.598,
|
| 329 |
+
"eval_steps_per_second": 50.886,
|
| 330 |
+
"step": 21000
|
| 331 |
+
},
|
| 332 |
+
{
|
| 333 |
+
"epoch": 0.9,
|
| 334 |
+
"learning_rate": 6.108055555555556e-07,
|
| 335 |
+
"loss": 1.0986,
|
| 336 |
+
"step": 22000
|
| 337 |
+
},
|
| 338 |
+
{
|
| 339 |
+
"epoch": 0.9,
|
| 340 |
+
"eval_accuracy": 0.3972055888223553,
|
| 341 |
+
"eval_loss": 1.085978388786316,
|
| 342 |
+
"eval_runtime": 12.4285,
|
| 343 |
+
"eval_samples_per_second": 403.107,
|
| 344 |
+
"eval_steps_per_second": 50.449,
|
| 345 |
+
"step": 22000
|
| 346 |
+
},
|
| 347 |
+
{
|
| 348 |
+
"epoch": 0.94,
|
| 349 |
+
"learning_rate": 6.385833333333334e-07,
|
| 350 |
+
"loss": 1.0944,
|
| 351 |
+
"step": 23000
|
| 352 |
+
},
|
| 353 |
+
{
|
| 354 |
+
"epoch": 0.94,
|
| 355 |
+
"eval_accuracy": 0.41097804391217563,
|
| 356 |
+
"eval_loss": 1.0837496519088745,
|
| 357 |
+
"eval_runtime": 12.7175,
|
| 358 |
+
"eval_samples_per_second": 393.946,
|
| 359 |
+
"eval_steps_per_second": 49.302,
|
| 360 |
+
"step": 23000
|
| 361 |
+
},
|
| 362 |
+
{
|
| 363 |
+
"epoch": 0.98,
|
| 364 |
+
"learning_rate": 6.663611111111112e-07,
|
| 365 |
+
"loss": 1.095,
|
| 366 |
+
"step": 24000
|
| 367 |
+
},
|
| 368 |
+
{
|
| 369 |
+
"epoch": 0.98,
|
| 370 |
+
"eval_accuracy": 0.4121756487025948,
|
| 371 |
+
"eval_loss": 1.0820704698562622,
|
| 372 |
+
"eval_runtime": 12.3323,
|
| 373 |
+
"eval_samples_per_second": 406.251,
|
| 374 |
+
"eval_steps_per_second": 50.842,
|
| 375 |
+
"step": 24000
|
| 376 |
+
},
|
| 377 |
+
{
|
| 378 |
+
"epoch": 1.02,
|
| 379 |
+
"learning_rate": 6.941111111111112e-07,
|
| 380 |
+
"loss": 1.0915,
|
| 381 |
+
"step": 25000
|
| 382 |
+
},
|
| 383 |
+
{
|
| 384 |
+
"epoch": 1.02,
|
| 385 |
+
"eval_accuracy": 0.4177644710578842,
|
| 386 |
+
"eval_loss": 1.0762931108474731,
|
| 387 |
+
"eval_runtime": 12.3887,
|
| 388 |
+
"eval_samples_per_second": 404.399,
|
| 389 |
+
"eval_steps_per_second": 50.61,
|
| 390 |
+
"step": 25000
|
| 391 |
+
},
|
| 392 |
+
{
|
| 393 |
+
"epoch": 1.06,
|
| 394 |
+
"learning_rate": 7.218888888888889e-07,
|
| 395 |
+
"loss": 1.0889,
|
| 396 |
+
"step": 26000
|
| 397 |
+
},
|
| 398 |
+
{
|
| 399 |
+
"epoch": 1.06,
|
| 400 |
+
"eval_accuracy": 0.43253493013972055,
|
| 401 |
+
"eval_loss": 1.0695326328277588,
|
| 402 |
+
"eval_runtime": 12.5611,
|
| 403 |
+
"eval_samples_per_second": 398.85,
|
| 404 |
+
"eval_steps_per_second": 49.916,
|
| 405 |
+
"step": 26000
|
| 406 |
+
},
|
| 407 |
+
{
|
| 408 |
+
"epoch": 1.1,
|
| 409 |
+
"learning_rate": 7.49638888888889e-07,
|
| 410 |
+
"loss": 1.0827,
|
| 411 |
+
"step": 27000
|
| 412 |
+
},
|
| 413 |
+
{
|
| 414 |
+
"epoch": 1.1,
|
| 415 |
+
"eval_accuracy": 0.4343313373253493,
|
| 416 |
+
"eval_loss": 1.0662548542022705,
|
| 417 |
+
"eval_runtime": 12.641,
|
| 418 |
+
"eval_samples_per_second": 396.328,
|
| 419 |
+
"eval_steps_per_second": 49.6,
|
| 420 |
+
"step": 27000
|
| 421 |
+
},
|
| 422 |
+
{
|
| 423 |
+
"epoch": 1.14,
|
| 424 |
+
"learning_rate": 7.774166666666668e-07,
|
| 425 |
+
"loss": 1.0765,
|
| 426 |
+
"step": 28000
|
| 427 |
+
},
|
| 428 |
+
{
|
| 429 |
+
"epoch": 1.14,
|
| 430 |
+
"eval_accuracy": 0.4315369261477046,
|
| 431 |
+
"eval_loss": 1.0609794855117798,
|
| 432 |
+
"eval_runtime": 12.4637,
|
| 433 |
+
"eval_samples_per_second": 401.967,
|
| 434 |
+
"eval_steps_per_second": 50.306,
|
| 435 |
+
"step": 28000
|
| 436 |
+
},
|
| 437 |
+
{
|
| 438 |
+
"epoch": 1.18,
|
| 439 |
+
"learning_rate": 8.051666666666667e-07,
|
| 440 |
+
"loss": 1.0736,
|
| 441 |
+
"step": 29000
|
| 442 |
+
},
|
| 443 |
+
{
|
| 444 |
+
"epoch": 1.18,
|
| 445 |
+
"eval_accuracy": 0.4377245508982036,
|
| 446 |
+
"eval_loss": 1.0587859153747559,
|
| 447 |
+
"eval_runtime": 12.3801,
|
| 448 |
+
"eval_samples_per_second": 404.683,
|
| 449 |
+
"eval_steps_per_second": 50.646,
|
| 450 |
+
"step": 29000
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"epoch": 1.22,
|
| 454 |
+
"learning_rate": 8.329444444444445e-07,
|
| 455 |
+
"loss": 1.0726,
|
| 456 |
+
"step": 30000
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"epoch": 1.22,
|
| 460 |
+
"eval_accuracy": 0.4249500998003992,
|
| 461 |
+
"eval_loss": 1.0559338331222534,
|
| 462 |
+
"eval_runtime": 12.5945,
|
| 463 |
+
"eval_samples_per_second": 397.792,
|
| 464 |
+
"eval_steps_per_second": 49.784,
|
| 465 |
+
"step": 30000
|
| 466 |
+
},
|
| 467 |
+
{
|
| 468 |
+
"epoch": 1.26,
|
| 469 |
+
"learning_rate": 8.606944444444445e-07,
|
| 470 |
+
"loss": 1.0751,
|
| 471 |
+
"step": 31000
|
| 472 |
+
},
|
| 473 |
+
{
|
| 474 |
+
"epoch": 1.26,
|
| 475 |
+
"eval_accuracy": 0.4427145708582834,
|
| 476 |
+
"eval_loss": 1.0576916933059692,
|
| 477 |
+
"eval_runtime": 12.6324,
|
| 478 |
+
"eval_samples_per_second": 396.599,
|
| 479 |
+
"eval_steps_per_second": 49.634,
|
| 480 |
+
"step": 31000
|
| 481 |
+
},
|
| 482 |
+
{
|
| 483 |
+
"epoch": 1.3,
|
| 484 |
+
"learning_rate": 8.884722222222224e-07,
|
| 485 |
+
"loss": 1.0708,
|
| 486 |
+
"step": 32000
|
| 487 |
+
},
|
| 488 |
+
{
|
| 489 |
+
"epoch": 1.3,
|
| 490 |
+
"eval_accuracy": 0.42634730538922155,
|
| 491 |
+
"eval_loss": 1.0571542978286743,
|
| 492 |
+
"eval_runtime": 12.4696,
|
| 493 |
+
"eval_samples_per_second": 401.776,
|
| 494 |
+
"eval_steps_per_second": 50.282,
|
| 495 |
+
"step": 32000
|
| 496 |
+
},
|
| 497 |
+
{
|
| 498 |
+
"epoch": 1.34,
|
| 499 |
+
"learning_rate": 9.162222222222223e-07,
|
| 500 |
+
"loss": 1.0711,
|
| 501 |
+
"step": 33000
|
| 502 |
+
},
|
| 503 |
+
{
|
| 504 |
+
"epoch": 1.34,
|
| 505 |
+
"eval_accuracy": 0.4419161676646707,
|
| 506 |
+
"eval_loss": 1.0544849634170532,
|
| 507 |
+
"eval_runtime": 12.415,
|
| 508 |
+
"eval_samples_per_second": 403.544,
|
| 509 |
+
"eval_steps_per_second": 50.503,
|
| 510 |
+
"step": 33000
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"epoch": 1.39,
|
| 514 |
+
"learning_rate": 9.440000000000001e-07,
|
| 515 |
+
"loss": 1.0666,
|
| 516 |
+
"step": 34000
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"epoch": 1.39,
|
| 520 |
+
"eval_accuracy": 0.43333333333333335,
|
| 521 |
+
"eval_loss": 1.05018150806427,
|
| 522 |
+
"eval_runtime": 12.6226,
|
| 523 |
+
"eval_samples_per_second": 396.906,
|
| 524 |
+
"eval_steps_per_second": 49.673,
|
| 525 |
+
"step": 34000
|
| 526 |
+
},
|
| 527 |
+
{
|
| 528 |
+
"epoch": 1.43,
|
| 529 |
+
"learning_rate": 9.7175e-07,
|
| 530 |
+
"loss": 1.0698,
|
| 531 |
+
"step": 35000
|
| 532 |
+
},
|
| 533 |
+
{
|
| 534 |
+
"epoch": 1.43,
|
| 535 |
+
"eval_accuracy": 0.4377245508982036,
|
| 536 |
+
"eval_loss": 1.0488406419754028,
|
| 537 |
+
"eval_runtime": 12.6246,
|
| 538 |
+
"eval_samples_per_second": 396.844,
|
| 539 |
+
"eval_steps_per_second": 49.665,
|
| 540 |
+
"step": 35000
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"epoch": 1.47,
|
| 544 |
+
"learning_rate": 9.995277777777778e-07,
|
| 545 |
+
"loss": 1.067,
|
| 546 |
+
"step": 36000
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"epoch": 1.47,
|
| 550 |
+
"eval_accuracy": 0.4407185628742515,
|
| 551 |
+
"eval_loss": 1.047359824180603,
|
| 552 |
+
"eval_runtime": 12.4039,
|
| 553 |
+
"eval_samples_per_second": 403.906,
|
| 554 |
+
"eval_steps_per_second": 50.549,
|
| 555 |
+
"step": 36000
|
| 556 |
+
},
|
| 557 |
+
{
|
| 558 |
+
"epoch": 1.51,
|
| 559 |
+
"learning_rate": 1.027277777777778e-06,
|
| 560 |
+
"loss": 1.0636,
|
| 561 |
+
"step": 37000
|
| 562 |
+
},
|
| 563 |
+
{
|
| 564 |
+
"epoch": 1.51,
|
| 565 |
+
"eval_accuracy": 0.44451097804391215,
|
| 566 |
+
"eval_loss": 1.0455204248428345,
|
| 567 |
+
"eval_runtime": 12.3836,
|
| 568 |
+
"eval_samples_per_second": 404.569,
|
| 569 |
+
"eval_steps_per_second": 50.632,
|
| 570 |
+
"step": 37000
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"epoch": 1.55,
|
| 574 |
+
"learning_rate": 1.0550555555555557e-06,
|
| 575 |
+
"loss": 1.0658,
|
| 576 |
+
"step": 38000
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"epoch": 1.55,
|
| 580 |
+
"eval_accuracy": 0.4407185628742515,
|
| 581 |
+
"eval_loss": 1.0461794137954712,
|
| 582 |
+
"eval_runtime": 12.5546,
|
| 583 |
+
"eval_samples_per_second": 399.057,
|
| 584 |
+
"eval_steps_per_second": 49.942,
|
| 585 |
+
"step": 38000
|
| 586 |
+
},
|
| 587 |
+
{
|
| 588 |
+
"epoch": 1.59,
|
| 589 |
+
"learning_rate": 1.0828333333333334e-06,
|
| 590 |
+
"loss": 1.0635,
|
| 591 |
+
"step": 39000
|
| 592 |
+
},
|
| 593 |
+
{
|
| 594 |
+
"epoch": 1.59,
|
| 595 |
+
"eval_accuracy": 0.4367265469061876,
|
| 596 |
+
"eval_loss": 1.0461270809173584,
|
| 597 |
+
"eval_runtime": 12.5509,
|
| 598 |
+
"eval_samples_per_second": 399.173,
|
| 599 |
+
"eval_steps_per_second": 49.956,
|
| 600 |
+
"step": 39000
|
| 601 |
+
},
|
| 602 |
+
{
|
| 603 |
+
"epoch": 1.63,
|
| 604 |
+
"learning_rate": 1.1105833333333335e-06,
|
| 605 |
+
"loss": 1.0596,
|
| 606 |
+
"step": 40000
|
| 607 |
+
},
|
| 608 |
+
{
|
| 609 |
+
"epoch": 1.63,
|
| 610 |
+
"eval_accuracy": 0.449500998003992,
|
| 611 |
+
"eval_loss": 1.0418727397918701,
|
| 612 |
+
"eval_runtime": 12.4044,
|
| 613 |
+
"eval_samples_per_second": 403.889,
|
| 614 |
+
"eval_steps_per_second": 50.547,
|
| 615 |
+
"step": 40000
|
| 616 |
+
},
|
| 617 |
+
{
|
| 618 |
+
"epoch": 1.67,
|
| 619 |
+
"learning_rate": 1.1383611111111113e-06,
|
| 620 |
+
"loss": 1.0595,
|
| 621 |
+
"step": 41000
|
| 622 |
+
},
|
| 623 |
+
{
|
| 624 |
+
"epoch": 1.67,
|
| 625 |
+
"eval_accuracy": 0.4409181636726547,
|
| 626 |
+
"eval_loss": 1.0417557954788208,
|
| 627 |
+
"eval_runtime": 12.3642,
|
| 628 |
+
"eval_samples_per_second": 405.202,
|
| 629 |
+
"eval_steps_per_second": 50.711,
|
| 630 |
+
"step": 41000
|
| 631 |
+
},
|
| 632 |
+
{
|
| 633 |
+
"epoch": 1.71,
|
| 634 |
+
"learning_rate": 1.1661111111111111e-06,
|
| 635 |
+
"loss": 1.054,
|
| 636 |
+
"step": 42000
|
| 637 |
+
},
|
| 638 |
+
{
|
| 639 |
+
"epoch": 1.71,
|
| 640 |
+
"eval_accuracy": 0.4357285429141717,
|
| 641 |
+
"eval_loss": 1.0383535623550415,
|
| 642 |
+
"eval_runtime": 12.3634,
|
| 643 |
+
"eval_samples_per_second": 405.23,
|
| 644 |
+
"eval_steps_per_second": 50.714,
|
| 645 |
+
"step": 42000
|
| 646 |
+
},
|
| 647 |
+
{
|
| 648 |
+
"epoch": 1.75,
|
| 649 |
+
"learning_rate": 1.193888888888889e-06,
|
| 650 |
+
"loss": 1.0543,
|
| 651 |
+
"step": 43000
|
| 652 |
+
},
|
| 653 |
+
{
|
| 654 |
+
"epoch": 1.75,
|
| 655 |
+
"eval_accuracy": 0.43812375249500995,
|
| 656 |
+
"eval_loss": 1.0463169813156128,
|
| 657 |
+
"eval_runtime": 12.6398,
|
| 658 |
+
"eval_samples_per_second": 396.366,
|
| 659 |
+
"eval_steps_per_second": 49.605,
|
| 660 |
+
"step": 43000
|
| 661 |
+
},
|
| 662 |
+
{
|
| 663 |
+
"epoch": 1.79,
|
| 664 |
+
"learning_rate": 1.221638888888889e-06,
|
| 665 |
+
"loss": 1.0579,
|
| 666 |
+
"step": 44000
|
| 667 |
+
},
|
| 668 |
+
{
|
| 669 |
+
"epoch": 1.79,
|
| 670 |
+
"eval_accuracy": 0.4415169660678643,
|
| 671 |
+
"eval_loss": 1.0388957262039185,
|
| 672 |
+
"eval_runtime": 12.4542,
|
| 673 |
+
"eval_samples_per_second": 402.274,
|
| 674 |
+
"eval_steps_per_second": 50.344,
|
| 675 |
+
"step": 44000
|
| 676 |
+
},
|
| 677 |
+
{
|
| 678 |
+
"epoch": 1.83,
|
| 679 |
+
"learning_rate": 1.2494166666666668e-06,
|
| 680 |
+
"loss": 1.0561,
|
| 681 |
+
"step": 45000
|
| 682 |
+
},
|
| 683 |
+
{
|
| 684 |
+
"epoch": 1.83,
|
| 685 |
+
"eval_accuracy": 0.46187624750499,
|
| 686 |
+
"eval_loss": 1.031552791595459,
|
| 687 |
+
"eval_runtime": 12.4082,
|
| 688 |
+
"eval_samples_per_second": 403.764,
|
| 689 |
+
"eval_steps_per_second": 50.531,
|
| 690 |
+
"step": 45000
|
| 691 |
+
},
|
| 692 |
+
{
|
| 693 |
+
"epoch": 1.87,
|
| 694 |
+
"learning_rate": 1.2771666666666668e-06,
|
| 695 |
+
"loss": 1.0516,
|
| 696 |
+
"step": 46000
|
| 697 |
+
},
|
| 698 |
+
{
|
| 699 |
+
"epoch": 1.87,
|
| 700 |
+
"eval_accuracy": 0.4538922155688623,
|
| 701 |
+
"eval_loss": 1.0312999486923218,
|
| 702 |
+
"eval_runtime": 12.3695,
|
| 703 |
+
"eval_samples_per_second": 405.029,
|
| 704 |
+
"eval_steps_per_second": 50.689,
|
| 705 |
+
"step": 46000
|
| 706 |
+
},
|
| 707 |
+
{
|
| 708 |
+
"epoch": 1.91,
|
| 709 |
+
"learning_rate": 1.3049444444444446e-06,
|
| 710 |
+
"loss": 1.0471,
|
| 711 |
+
"step": 47000
|
| 712 |
+
},
|
| 713 |
+
{
|
| 714 |
+
"epoch": 1.91,
|
| 715 |
+
"eval_accuracy": 0.46387225548902195,
|
| 716 |
+
"eval_loss": 1.027535319328308,
|
| 717 |
+
"eval_runtime": 12.5846,
|
| 718 |
+
"eval_samples_per_second": 398.107,
|
| 719 |
+
"eval_steps_per_second": 49.823,
|
| 720 |
+
"step": 47000
|
| 721 |
+
},
|
| 722 |
+
{
|
| 723 |
+
"epoch": 1.96,
|
| 724 |
+
"learning_rate": 1.3326944444444447e-06,
|
| 725 |
+
"loss": 1.054,
|
| 726 |
+
"step": 48000
|
| 727 |
+
},
|
| 728 |
+
{
|
| 729 |
+
"epoch": 1.96,
|
| 730 |
+
"eval_accuracy": 0.4568862275449102,
|
| 731 |
+
"eval_loss": 1.0308438539505005,
|
| 732 |
+
"eval_runtime": 12.5646,
|
| 733 |
+
"eval_samples_per_second": 398.74,
|
| 734 |
+
"eval_steps_per_second": 49.902,
|
| 735 |
+
"step": 48000
|
| 736 |
+
},
|
| 737 |
+
{
|
| 738 |
+
"epoch": 2.0,
|
| 739 |
+
"learning_rate": 1.3604722222222224e-06,
|
| 740 |
+
"loss": 1.0445,
|
| 741 |
+
"step": 49000
|
| 742 |
+
},
|
| 743 |
+
{
|
| 744 |
+
"epoch": 2.0,
|
| 745 |
+
"eval_accuracy": 0.47045908183632734,
|
| 746 |
+
"eval_loss": 1.0230755805969238,
|
| 747 |
+
"eval_runtime": 12.4305,
|
| 748 |
+
"eval_samples_per_second": 403.041,
|
| 749 |
+
"eval_steps_per_second": 50.44,
|
| 750 |
+
"step": 49000
|
| 751 |
+
},
|
| 752 |
+
{
|
| 753 |
+
"epoch": 2.04,
|
| 754 |
+
"learning_rate": 1.3882222222222223e-06,
|
| 755 |
+
"loss": 1.0479,
|
| 756 |
+
"step": 50000
|
| 757 |
+
},
|
| 758 |
+
{
|
| 759 |
+
"epoch": 2.04,
|
| 760 |
+
"eval_accuracy": 0.47305389221556887,
|
| 761 |
+
"eval_loss": 1.0201445817947388,
|
| 762 |
+
"eval_runtime": 12.3672,
|
| 763 |
+
"eval_samples_per_second": 405.103,
|
| 764 |
+
"eval_steps_per_second": 50.698,
|
| 765 |
+
"step": 50000
|
| 766 |
+
},
|
| 767 |
+
{
|
| 768 |
+
"epoch": 2.08,
|
| 769 |
+
"learning_rate": 1.416e-06,
|
| 770 |
+
"loss": 1.0482,
|
| 771 |
+
"step": 51000
|
| 772 |
+
},
|
| 773 |
+
{
|
| 774 |
+
"epoch": 2.08,
|
| 775 |
+
"eval_accuracy": 0.4678642714570858,
|
| 776 |
+
"eval_loss": 1.0167714357376099,
|
| 777 |
+
"eval_runtime": 12.5982,
|
| 778 |
+
"eval_samples_per_second": 397.677,
|
| 779 |
+
"eval_steps_per_second": 49.769,
|
| 780 |
+
"step": 51000
|
| 781 |
+
},
|
| 782 |
+
{
|
| 783 |
+
"epoch": 2.12,
|
| 784 |
+
"learning_rate": 1.4437500000000002e-06,
|
| 785 |
+
"loss": 1.0406,
|
| 786 |
+
"step": 52000
|
| 787 |
+
},
|
| 788 |
+
{
|
| 789 |
+
"epoch": 2.12,
|
| 790 |
+
"eval_accuracy": 0.4722554890219561,
|
| 791 |
+
"eval_loss": 1.0175116062164307,
|
| 792 |
+
"eval_runtime": 12.6041,
|
| 793 |
+
"eval_samples_per_second": 397.49,
|
| 794 |
+
"eval_steps_per_second": 49.746,
|
| 795 |
+
"step": 52000
|
| 796 |
+
},
|
| 797 |
+
{
|
| 798 |
+
"epoch": 2.16,
|
| 799 |
+
"learning_rate": 1.471527777777778e-06,
|
| 800 |
+
"loss": 1.0457,
|
| 801 |
+
"step": 53000
|
| 802 |
+
},
|
| 803 |
+
{
|
| 804 |
+
"epoch": 2.16,
|
| 805 |
+
"eval_accuracy": 0.4748502994011976,
|
| 806 |
+
"eval_loss": 1.010857343673706,
|
| 807 |
+
"eval_runtime": 12.3728,
|
| 808 |
+
"eval_samples_per_second": 404.921,
|
| 809 |
+
"eval_steps_per_second": 50.676,
|
| 810 |
+
"step": 53000
|
| 811 |
+
},
|
| 812 |
+
{
|
| 813 |
+
"epoch": 2.2,
|
| 814 |
+
"learning_rate": 1.4993055555555557e-06,
|
| 815 |
+
"loss": 1.0399,
|
| 816 |
+
"step": 54000
|
| 817 |
+
},
|
| 818 |
+
{
|
| 819 |
+
"epoch": 2.2,
|
| 820 |
+
"eval_accuracy": 0.48522954091816367,
|
| 821 |
+
"eval_loss": 1.0106219053268433,
|
| 822 |
+
"eval_runtime": 12.3952,
|
| 823 |
+
"eval_samples_per_second": 404.188,
|
| 824 |
+
"eval_steps_per_second": 50.584,
|
| 825 |
+
"step": 54000
|
| 826 |
+
},
|
| 827 |
+
{
|
| 828 |
+
"epoch": 2.24,
|
| 829 |
+
"learning_rate": 1.5270555555555558e-06,
|
| 830 |
+
"loss": 1.0412,
|
| 831 |
+
"step": 55000
|
| 832 |
+
},
|
| 833 |
+
{
|
| 834 |
+
"epoch": 2.24,
|
| 835 |
+
"eval_accuracy": 0.4750499001996008,
|
| 836 |
+
"eval_loss": 1.0111658573150635,
|
| 837 |
+
"eval_runtime": 12.4858,
|
| 838 |
+
"eval_samples_per_second": 401.257,
|
| 839 |
+
"eval_steps_per_second": 50.217,
|
| 840 |
+
"step": 55000
|
| 841 |
+
},
|
| 842 |
+
{
|
| 843 |
+
"epoch": 2.28,
|
| 844 |
+
"learning_rate": 1.5548333333333335e-06,
|
| 845 |
+
"loss": 1.0347,
|
| 846 |
+
"step": 56000
|
| 847 |
+
},
|
| 848 |
+
{
|
| 849 |
+
"epoch": 2.28,
|
| 850 |
+
"eval_accuracy": 0.47924151696606787,
|
| 851 |
+
"eval_loss": 1.0121456384658813,
|
| 852 |
+
"eval_runtime": 12.6206,
|
| 853 |
+
"eval_samples_per_second": 396.97,
|
| 854 |
+
"eval_steps_per_second": 49.681,
|
| 855 |
+
"step": 56000
|
| 856 |
+
},
|
| 857 |
+
{
|
| 858 |
+
"epoch": 2.32,
|
| 859 |
+
"learning_rate": 1.5825833333333334e-06,
|
| 860 |
+
"loss": 1.0324,
|
| 861 |
+
"step": 57000
|
| 862 |
+
},
|
| 863 |
+
{
|
| 864 |
+
"epoch": 2.32,
|
| 865 |
+
"eval_accuracy": 0.4738522954091816,
|
| 866 |
+
"eval_loss": 1.0100611448287964,
|
| 867 |
+
"eval_runtime": 12.3748,
|
| 868 |
+
"eval_samples_per_second": 404.857,
|
| 869 |
+
"eval_steps_per_second": 50.668,
|
| 870 |
+
"step": 57000
|
| 871 |
+
},
|
| 872 |
+
{
|
| 873 |
+
"epoch": 2.36,
|
| 874 |
+
"learning_rate": 1.6103611111111112e-06,
|
| 875 |
+
"loss": 1.0346,
|
| 876 |
+
"step": 58000
|
| 877 |
+
},
|
| 878 |
+
{
|
| 879 |
+
"epoch": 2.36,
|
| 880 |
+
"eval_accuracy": 0.4694610778443114,
|
| 881 |
+
"eval_loss": 1.0124626159667969,
|
| 882 |
+
"eval_runtime": 12.4716,
|
| 883 |
+
"eval_samples_per_second": 401.711,
|
| 884 |
+
"eval_steps_per_second": 50.274,
|
| 885 |
+
"step": 58000
|
| 886 |
+
},
|
| 887 |
+
{
|
| 888 |
+
"epoch": 2.4,
|
| 889 |
+
"learning_rate": 1.638111111111111e-06,
|
| 890 |
+
"loss": 1.0309,
|
| 891 |
+
"step": 59000
|
| 892 |
+
},
|
| 893 |
+
{
|
| 894 |
+
"epoch": 2.4,
|
| 895 |
+
"eval_accuracy": 0.48982035928143713,
|
| 896 |
+
"eval_loss": 1.0022122859954834,
|
| 897 |
+
"eval_runtime": 12.4734,
|
| 898 |
+
"eval_samples_per_second": 401.655,
|
| 899 |
+
"eval_steps_per_second": 50.267,
|
| 900 |
+
"step": 59000
|
| 901 |
+
},
|
| 902 |
+
{
|
| 903 |
+
"epoch": 2.44,
|
| 904 |
+
"learning_rate": 1.665888888888889e-06,
|
| 905 |
+
"loss": 1.0351,
|
| 906 |
+
"step": 60000
|
| 907 |
+
},
|
| 908 |
+
{
|
| 909 |
+
"epoch": 2.44,
|
| 910 |
+
"eval_accuracy": 0.4802395209580838,
|
| 911 |
+
"eval_loss": 1.004167914390564,
|
| 912 |
+
"eval_runtime": 12.6287,
|
| 913 |
+
"eval_samples_per_second": 396.714,
|
| 914 |
+
"eval_steps_per_second": 49.649,
|
| 915 |
+
"step": 60000
|
| 916 |
+
},
|
| 917 |
+
{
|
| 918 |
+
"epoch": 2.49,
|
| 919 |
+
"learning_rate": 1.693638888888889e-06,
|
| 920 |
+
"loss": 1.0312,
|
| 921 |
+
"step": 61000
|
| 922 |
+
},
|
| 923 |
+
{
|
| 924 |
+
"epoch": 2.49,
|
| 925 |
+
"eval_accuracy": 0.48323353293413174,
|
| 926 |
+
"eval_loss": 1.0065865516662598,
|
| 927 |
+
"eval_runtime": 12.4143,
|
| 928 |
+
"eval_samples_per_second": 403.567,
|
| 929 |
+
"eval_steps_per_second": 50.506,
|
| 930 |
+
"step": 61000
|
| 931 |
+
},
|
| 932 |
+
{
|
| 933 |
+
"epoch": 2.53,
|
| 934 |
+
"learning_rate": 1.7214166666666666e-06,
|
| 935 |
+
"loss": 1.0329,
|
| 936 |
+
"step": 62000
|
| 937 |
+
},
|
| 938 |
+
{
|
| 939 |
+
"epoch": 2.53,
|
| 940 |
+
"eval_accuracy": 0.47924151696606787,
|
| 941 |
+
"eval_loss": 1.0041630268096924,
|
| 942 |
+
"eval_runtime": 12.4326,
|
| 943 |
+
"eval_samples_per_second": 402.974,
|
| 944 |
+
"eval_steps_per_second": 50.432,
|
| 945 |
+
"step": 62000
|
| 946 |
+
},
|
| 947 |
+
{
|
| 948 |
+
"epoch": 2.57,
|
| 949 |
+
"learning_rate": 1.7491666666666667e-06,
|
| 950 |
+
"loss": 1.0355,
|
| 951 |
+
"step": 63000
|
| 952 |
+
},
|
| 953 |
+
{
|
| 954 |
+
"epoch": 2.57,
|
| 955 |
+
"eval_accuracy": 0.49261477045908186,
|
| 956 |
+
"eval_loss": 1.0007619857788086,
|
| 957 |
+
"eval_runtime": 12.4051,
|
| 958 |
+
"eval_samples_per_second": 403.866,
|
| 959 |
+
"eval_steps_per_second": 50.544,
|
| 960 |
+
"step": 63000
|
| 961 |
+
},
|
| 962 |
+
{
|
| 963 |
+
"epoch": 2.61,
|
| 964 |
+
"learning_rate": 1.7769444444444447e-06,
|
| 965 |
+
"loss": 1.0297,
|
| 966 |
+
"step": 64000
|
| 967 |
+
},
|
| 968 |
+
{
|
| 969 |
+
"epoch": 2.61,
|
| 970 |
+
"eval_accuracy": 0.4942115768463074,
|
| 971 |
+
"eval_loss": 0.9986936450004578,
|
| 972 |
+
"eval_runtime": 12.5727,
|
| 973 |
+
"eval_samples_per_second": 398.482,
|
| 974 |
+
"eval_steps_per_second": 49.87,
|
| 975 |
+
"step": 64000
|
| 976 |
+
},
|
| 977 |
+
{
|
| 978 |
+
"epoch": 2.65,
|
| 979 |
+
"learning_rate": 1.8046944444444446e-06,
|
| 980 |
+
"loss": 1.0277,
|
| 981 |
+
"step": 65000
|
| 982 |
+
},
|
| 983 |
+
{
|
| 984 |
+
"epoch": 2.65,
|
| 985 |
+
"eval_accuracy": 0.49121756487025947,
|
| 986 |
+
"eval_loss": 1.0008972883224487,
|
| 987 |
+
"eval_runtime": 12.4544,
|
| 988 |
+
"eval_samples_per_second": 402.267,
|
| 989 |
+
"eval_steps_per_second": 50.344,
|
| 990 |
+
"step": 65000
|
| 991 |
+
},
|
| 992 |
+
{
|
| 993 |
+
"epoch": 2.69,
|
| 994 |
+
"learning_rate": 1.8324722222222223e-06,
|
| 995 |
+
"loss": 1.0341,
|
| 996 |
+
"step": 66000
|
| 997 |
+
},
|
| 998 |
+
{
|
| 999 |
+
"epoch": 2.69,
|
| 1000 |
+
"eval_accuracy": 0.499001996007984,
|
| 1001 |
+
"eval_loss": 0.9953575134277344,
|
| 1002 |
+
"eval_runtime": 12.4973,
|
| 1003 |
+
"eval_samples_per_second": 400.886,
|
| 1004 |
+
"eval_steps_per_second": 50.171,
|
| 1005 |
+
"step": 66000
|
| 1006 |
+
},
|
| 1007 |
+
{
|
| 1008 |
+
"epoch": 2.73,
|
| 1009 |
+
"learning_rate": 1.8602222222222222e-06,
|
| 1010 |
+
"loss": 1.0279,
|
| 1011 |
+
"step": 67000
|
| 1012 |
+
},
|
| 1013 |
+
{
|
| 1014 |
+
"epoch": 2.73,
|
| 1015 |
+
"eval_accuracy": 0.493812375249501,
|
| 1016 |
+
"eval_loss": 0.998134195804596,
|
| 1017 |
+
"eval_runtime": 12.6589,
|
| 1018 |
+
"eval_samples_per_second": 395.769,
|
| 1019 |
+
"eval_steps_per_second": 49.53,
|
| 1020 |
+
"step": 67000
|
| 1021 |
+
},
|
| 1022 |
+
{
|
| 1023 |
+
"epoch": 2.77,
|
| 1024 |
+
"learning_rate": 1.8880000000000002e-06,
|
| 1025 |
+
"loss": 1.03,
|
| 1026 |
+
"step": 68000
|
| 1027 |
+
},
|
| 1028 |
+
{
|
| 1029 |
+
"epoch": 2.77,
|
| 1030 |
+
"eval_accuracy": 0.5051896207584831,
|
| 1031 |
+
"eval_loss": 0.9947481751441956,
|
| 1032 |
+
"eval_runtime": 12.7939,
|
| 1033 |
+
"eval_samples_per_second": 391.594,
|
| 1034 |
+
"eval_steps_per_second": 49.008,
|
| 1035 |
+
"step": 68000
|
| 1036 |
+
},
|
| 1037 |
+
{
|
| 1038 |
+
"epoch": 2.81,
|
| 1039 |
+
"learning_rate": 1.9157500000000003e-06,
|
| 1040 |
+
"loss": 1.0283,
|
| 1041 |
+
"step": 69000
|
| 1042 |
+
},
|
| 1043 |
+
{
|
| 1044 |
+
"epoch": 2.81,
|
| 1045 |
+
"eval_accuracy": 0.5001996007984032,
|
| 1046 |
+
"eval_loss": 0.997833251953125,
|
| 1047 |
+
"eval_runtime": 12.8129,
|
| 1048 |
+
"eval_samples_per_second": 391.012,
|
| 1049 |
+
"eval_steps_per_second": 48.935,
|
| 1050 |
+
"step": 69000
|
| 1051 |
+
},
|
| 1052 |
+
{
|
| 1053 |
+
"epoch": 2.85,
|
| 1054 |
+
"learning_rate": 1.943527777777778e-06,
|
| 1055 |
+
"loss": 1.0288,
|
| 1056 |
+
"step": 70000
|
| 1057 |
+
},
|
| 1058 |
+
{
|
| 1059 |
+
"epoch": 2.85,
|
| 1060 |
+
"eval_accuracy": 0.49181636726546907,
|
| 1061 |
+
"eval_loss": 1.00169038772583,
|
| 1062 |
+
"eval_runtime": 12.5936,
|
| 1063 |
+
"eval_samples_per_second": 397.822,
|
| 1064 |
+
"eval_steps_per_second": 49.787,
|
| 1065 |
+
"step": 70000
|
| 1066 |
+
},
|
| 1067 |
+
{
|
| 1068 |
+
"epoch": 2.89,
|
| 1069 |
+
"learning_rate": 1.9712777777777777e-06,
|
| 1070 |
+
"loss": 1.0238,
|
| 1071 |
+
"step": 71000
|
| 1072 |
+
},
|
| 1073 |
+
{
|
| 1074 |
+
"epoch": 2.89,
|
| 1075 |
+
"eval_accuracy": 0.4944111776447106,
|
| 1076 |
+
"eval_loss": 1.001316785812378,
|
| 1077 |
+
"eval_runtime": 12.485,
|
| 1078 |
+
"eval_samples_per_second": 401.282,
|
| 1079 |
+
"eval_steps_per_second": 50.22,
|
| 1080 |
+
"step": 71000
|
| 1081 |
+
},
|
| 1082 |
+
{
|
| 1083 |
+
"epoch": 2.93,
|
| 1084 |
+
"learning_rate": 1.9990555555555557e-06,
|
| 1085 |
+
"loss": 1.0268,
|
| 1086 |
+
"step": 72000
|
| 1087 |
+
},
|
| 1088 |
+
{
|
| 1089 |
+
"epoch": 2.93,
|
| 1090 |
+
"eval_accuracy": 0.49241516966067866,
|
| 1091 |
+
"eval_loss": 1.0005468130111694,
|
| 1092 |
+
"eval_runtime": 12.501,
|
| 1093 |
+
"eval_samples_per_second": 400.768,
|
| 1094 |
+
"eval_steps_per_second": 50.156,
|
| 1095 |
+
"step": 72000
|
| 1096 |
+
},
|
| 1097 |
+
{
|
| 1098 |
+
"epoch": 2.97,
|
| 1099 |
+
"learning_rate": 2.026805555555556e-06,
|
| 1100 |
+
"loss": 1.0266,
|
| 1101 |
+
"step": 73000
|
| 1102 |
+
},
|
| 1103 |
+
{
|
| 1104 |
+
"epoch": 2.97,
|
| 1105 |
+
"eval_accuracy": 0.4940119760479042,
|
| 1106 |
+
"eval_loss": 0.9998964071273804,
|
| 1107 |
+
"eval_runtime": 12.6227,
|
| 1108 |
+
"eval_samples_per_second": 396.904,
|
| 1109 |
+
"eval_steps_per_second": 49.672,
|
| 1110 |
+
"step": 73000
|
| 1111 |
+
},
|
| 1112 |
+
{
|
| 1113 |
+
"epoch": 3.01,
|
| 1114 |
+
"learning_rate": 2.0545833333333335e-06,
|
| 1115 |
+
"loss": 1.0222,
|
| 1116 |
+
"step": 74000
|
| 1117 |
+
},
|
| 1118 |
+
{
|
| 1119 |
+
"epoch": 3.01,
|
| 1120 |
+
"eval_accuracy": 0.501996007984032,
|
| 1121 |
+
"eval_loss": 0.9927905201911926,
|
| 1122 |
+
"eval_runtime": 12.7924,
|
| 1123 |
+
"eval_samples_per_second": 391.64,
|
| 1124 |
+
"eval_steps_per_second": 49.014,
|
| 1125 |
+
"step": 74000
|
| 1126 |
+
},
|
| 1127 |
+
{
|
| 1128 |
+
"epoch": 3.06,
|
| 1129 |
+
"learning_rate": 2.0823333333333334e-06,
|
| 1130 |
+
"loss": 1.0198,
|
| 1131 |
+
"step": 75000
|
| 1132 |
+
},
|
| 1133 |
+
{
|
| 1134 |
+
"epoch": 3.06,
|
| 1135 |
+
"eval_accuracy": 0.5025948103792415,
|
| 1136 |
+
"eval_loss": 0.9925487041473389,
|
| 1137 |
+
"eval_runtime": 12.6297,
|
| 1138 |
+
"eval_samples_per_second": 396.684,
|
| 1139 |
+
"eval_steps_per_second": 49.645,
|
| 1140 |
+
"step": 75000
|
| 1141 |
+
},
|
| 1142 |
+
{
|
| 1143 |
+
"epoch": 3.1,
|
| 1144 |
+
"learning_rate": 2.1101111111111113e-06,
|
| 1145 |
+
"loss": 1.0203,
|
| 1146 |
+
"step": 76000
|
| 1147 |
+
},
|
| 1148 |
+
{
|
| 1149 |
+
"epoch": 3.1,
|
| 1150 |
+
"eval_accuracy": 0.5027944111776447,
|
| 1151 |
+
"eval_loss": 0.9909006953239441,
|
| 1152 |
+
"eval_runtime": 12.4265,
|
| 1153 |
+
"eval_samples_per_second": 403.17,
|
| 1154 |
+
"eval_steps_per_second": 50.457,
|
| 1155 |
+
"step": 76000
|
| 1156 |
+
},
|
| 1157 |
+
{
|
| 1158 |
+
"epoch": 3.14,
|
| 1159 |
+
"learning_rate": 2.137861111111111e-06,
|
| 1160 |
+
"loss": 1.022,
|
| 1161 |
+
"step": 77000
|
| 1162 |
+
},
|
| 1163 |
+
{
|
| 1164 |
+
"epoch": 3.14,
|
| 1165 |
+
"eval_accuracy": 0.48303393213572854,
|
| 1166 |
+
"eval_loss": 1.010209083557129,
|
| 1167 |
+
"eval_runtime": 12.3999,
|
| 1168 |
+
"eval_samples_per_second": 404.037,
|
| 1169 |
+
"eval_steps_per_second": 50.565,
|
| 1170 |
+
"step": 77000
|
| 1171 |
+
},
|
| 1172 |
+
{
|
| 1173 |
+
"epoch": 3.18,
|
| 1174 |
+
"learning_rate": 2.1656388888888888e-06,
|
| 1175 |
+
"loss": 1.0133,
|
| 1176 |
+
"step": 78000
|
| 1177 |
+
},
|
| 1178 |
+
{
|
| 1179 |
+
"epoch": 3.18,
|
| 1180 |
+
"eval_accuracy": 0.5075848303393213,
|
| 1181 |
+
"eval_loss": 0.9907119274139404,
|
| 1182 |
+
"eval_runtime": 12.4429,
|
| 1183 |
+
"eval_samples_per_second": 402.64,
|
| 1184 |
+
"eval_steps_per_second": 50.39,
|
| 1185 |
+
"step": 78000
|
| 1186 |
+
},
|
| 1187 |
+
{
|
| 1188 |
+
"epoch": 3.22,
|
| 1189 |
+
"learning_rate": 2.193388888888889e-06,
|
| 1190 |
+
"loss": 1.0207,
|
| 1191 |
+
"step": 79000
|
| 1192 |
+
},
|
| 1193 |
+
{
|
| 1194 |
+
"epoch": 3.22,
|
| 1195 |
+
"eval_accuracy": 0.4944111776447106,
|
| 1196 |
+
"eval_loss": 1.0015305280685425,
|
| 1197 |
+
"eval_runtime": 12.7143,
|
| 1198 |
+
"eval_samples_per_second": 394.046,
|
| 1199 |
+
"eval_steps_per_second": 49.315,
|
| 1200 |
+
"step": 79000
|
| 1201 |
+
},
|
| 1202 |
+
{
|
| 1203 |
+
"epoch": 3.26,
|
| 1204 |
+
"learning_rate": 2.221166666666667e-06,
|
| 1205 |
+
"loss": 1.0172,
|
| 1206 |
+
"step": 80000
|
| 1207 |
+
},
|
| 1208 |
+
{
|
| 1209 |
+
"epoch": 3.26,
|
| 1210 |
+
"eval_accuracy": 0.49540918163672654,
|
| 1211 |
+
"eval_loss": 0.9991635680198669,
|
| 1212 |
+
"eval_runtime": 12.7122,
|
| 1213 |
+
"eval_samples_per_second": 394.109,
|
| 1214 |
+
"eval_steps_per_second": 49.323,
|
| 1215 |
+
"step": 80000
|
| 1216 |
+
},
|
| 1217 |
+
{
|
| 1218 |
+
"epoch": 3.3,
|
| 1219 |
+
"learning_rate": 2.248916666666667e-06,
|
| 1220 |
+
"loss": 1.0185,
|
| 1221 |
+
"step": 81000
|
| 1222 |
+
},
|
| 1223 |
+
{
|
| 1224 |
+
"epoch": 3.3,
|
| 1225 |
+
"eval_accuracy": 0.49001996007984033,
|
| 1226 |
+
"eval_loss": 1.0026898384094238,
|
| 1227 |
+
"eval_runtime": 12.6101,
|
| 1228 |
+
"eval_samples_per_second": 397.299,
|
| 1229 |
+
"eval_steps_per_second": 49.722,
|
| 1230 |
+
"step": 81000
|
| 1231 |
+
},
|
| 1232 |
+
{
|
| 1233 |
+
"epoch": 3.34,
|
| 1234 |
+
"learning_rate": 2.2766944444444444e-06,
|
| 1235 |
+
"loss": 1.0287,
|
| 1236 |
+
"step": 82000
|
| 1237 |
+
},
|
| 1238 |
+
{
|
| 1239 |
+
"epoch": 3.34,
|
| 1240 |
+
"eval_accuracy": 0.4998003992015968,
|
| 1241 |
+
"eval_loss": 0.9921432733535767,
|
| 1242 |
+
"eval_runtime": 12.4639,
|
| 1243 |
+
"eval_samples_per_second": 401.961,
|
| 1244 |
+
"eval_steps_per_second": 50.305,
|
| 1245 |
+
"step": 82000
|
| 1246 |
+
},
|
| 1247 |
+
{
|
| 1248 |
+
"epoch": 3.38,
|
| 1249 |
+
"learning_rate": 2.3044444444444443e-06,
|
| 1250 |
+
"loss": 1.0142,
|
| 1251 |
+
"step": 83000
|
| 1252 |
+
},
|
| 1253 |
+
{
|
| 1254 |
+
"epoch": 3.38,
|
| 1255 |
+
"eval_accuracy": 0.5017964071856288,
|
| 1256 |
+
"eval_loss": 0.9938461184501648,
|
| 1257 |
+
"eval_runtime": 12.4125,
|
| 1258 |
+
"eval_samples_per_second": 403.625,
|
| 1259 |
+
"eval_steps_per_second": 50.514,
|
| 1260 |
+
"step": 83000
|
| 1261 |
+
},
|
| 1262 |
+
{
|
| 1263 |
+
"epoch": 3.42,
|
| 1264 |
+
"learning_rate": 2.3322222222222223e-06,
|
| 1265 |
+
"loss": 1.0186,
|
| 1266 |
+
"step": 84000
|
| 1267 |
+
},
|
| 1268 |
+
{
|
| 1269 |
+
"epoch": 3.42,
|
| 1270 |
+
"eval_accuracy": 0.5089820359281437,
|
| 1271 |
+
"eval_loss": 0.9863815307617188,
|
| 1272 |
+
"eval_runtime": 12.6556,
|
| 1273 |
+
"eval_samples_per_second": 395.872,
|
| 1274 |
+
"eval_steps_per_second": 49.543,
|
| 1275 |
+
"step": 84000
|
| 1276 |
+
},
|
| 1277 |
+
{
|
| 1278 |
+
"epoch": 3.46,
|
| 1279 |
+
"learning_rate": 2.3599722222222226e-06,
|
| 1280 |
+
"loss": 1.0151,
|
| 1281 |
+
"step": 85000
|
| 1282 |
+
},
|
| 1283 |
+
{
|
| 1284 |
+
"epoch": 3.46,
|
| 1285 |
+
"eval_accuracy": 0.5041916167664671,
|
| 1286 |
+
"eval_loss": 0.9891662001609802,
|
| 1287 |
+
"eval_runtime": 12.6529,
|
| 1288 |
+
"eval_samples_per_second": 395.958,
|
| 1289 |
+
"eval_steps_per_second": 49.554,
|
| 1290 |
+
"step": 85000
|
| 1291 |
+
},
|
| 1292 |
+
{
|
| 1293 |
+
"epoch": 3.5,
|
| 1294 |
+
"learning_rate": 2.38775e-06,
|
| 1295 |
+
"loss": 1.0268,
|
| 1296 |
+
"step": 86000
|
| 1297 |
+
},
|
| 1298 |
+
{
|
| 1299 |
+
"epoch": 3.5,
|
| 1300 |
+
"eval_accuracy": 0.5043912175648703,
|
| 1301 |
+
"eval_loss": 0.9857804179191589,
|
| 1302 |
+
"eval_runtime": 12.4197,
|
| 1303 |
+
"eval_samples_per_second": 403.391,
|
| 1304 |
+
"eval_steps_per_second": 50.484,
|
| 1305 |
+
"step": 86000
|
| 1306 |
+
},
|
| 1307 |
+
{
|
| 1308 |
+
"epoch": 3.54,
|
| 1309 |
+
"learning_rate": 2.4155e-06,
|
| 1310 |
+
"loss": 1.0152,
|
| 1311 |
+
"step": 87000
|
| 1312 |
+
},
|
| 1313 |
+
{
|
| 1314 |
+
"epoch": 3.54,
|
| 1315 |
+
"eval_accuracy": 0.5075848303393213,
|
| 1316 |
+
"eval_loss": 0.9841725826263428,
|
| 1317 |
+
"eval_runtime": 12.4152,
|
| 1318 |
+
"eval_samples_per_second": 403.538,
|
| 1319 |
+
"eval_steps_per_second": 50.503,
|
| 1320 |
+
"step": 87000
|
| 1321 |
+
},
|
| 1322 |
+
{
|
| 1323 |
+
"epoch": 3.59,
|
| 1324 |
+
"learning_rate": 2.443277777777778e-06,
|
| 1325 |
+
"loss": 1.0201,
|
| 1326 |
+
"step": 88000
|
| 1327 |
+
},
|
| 1328 |
+
{
|
| 1329 |
+
"epoch": 3.59,
|
| 1330 |
+
"eval_accuracy": 0.5065868263473053,
|
| 1331 |
+
"eval_loss": 0.9841102957725525,
|
| 1332 |
+
"eval_runtime": 12.4716,
|
| 1333 |
+
"eval_samples_per_second": 401.711,
|
| 1334 |
+
"eval_steps_per_second": 50.274,
|
| 1335 |
+
"step": 88000
|
| 1336 |
+
},
|
| 1337 |
+
{
|
| 1338 |
+
"epoch": 3.63,
|
| 1339 |
+
"learning_rate": 2.471027777777778e-06,
|
| 1340 |
+
"loss": 1.0113,
|
| 1341 |
+
"step": 89000
|
| 1342 |
+
},
|
| 1343 |
+
{
|
| 1344 |
+
"epoch": 3.63,
|
| 1345 |
+
"eval_accuracy": 0.5079840319361277,
|
| 1346 |
+
"eval_loss": 0.9851917028427124,
|
| 1347 |
+
"eval_runtime": 12.6634,
|
| 1348 |
+
"eval_samples_per_second": 395.627,
|
| 1349 |
+
"eval_steps_per_second": 49.513,
|
| 1350 |
+
"step": 89000
|
| 1351 |
+
},
|
| 1352 |
+
{
|
| 1353 |
+
"epoch": 3.67,
|
| 1354 |
+
"learning_rate": 2.498805555555556e-06,
|
| 1355 |
+
"loss": 1.0195,
|
| 1356 |
+
"step": 90000
|
| 1357 |
+
},
|
| 1358 |
+
{
|
| 1359 |
+
"epoch": 3.67,
|
| 1360 |
+
"eval_accuracy": 0.5039920159680639,
|
| 1361 |
+
"eval_loss": 0.9855921864509583,
|
| 1362 |
+
"eval_runtime": 12.6226,
|
| 1363 |
+
"eval_samples_per_second": 396.908,
|
| 1364 |
+
"eval_steps_per_second": 49.673,
|
| 1365 |
+
"step": 90000
|
| 1366 |
+
},
|
| 1367 |
+
{
|
| 1368 |
+
"epoch": 3.71,
|
| 1369 |
+
"learning_rate": 2.5265555555555557e-06,
|
| 1370 |
+
"loss": 1.0202,
|
| 1371 |
+
"step": 91000
|
| 1372 |
+
},
|
| 1373 |
+
{
|
| 1374 |
+
"epoch": 3.71,
|
| 1375 |
+
"eval_accuracy": 0.5001996007984032,
|
| 1376 |
+
"eval_loss": 0.9933446645736694,
|
| 1377 |
+
"eval_runtime": 12.4993,
|
| 1378 |
+
"eval_samples_per_second": 400.821,
|
| 1379 |
+
"eval_steps_per_second": 50.163,
|
| 1380 |
+
"step": 91000
|
| 1381 |
+
},
|
| 1382 |
+
{
|
| 1383 |
+
"epoch": 3.75,
|
| 1384 |
+
"learning_rate": 2.5543333333333337e-06,
|
| 1385 |
+
"loss": 1.0183,
|
| 1386 |
+
"step": 92000
|
| 1387 |
+
},
|
| 1388 |
+
{
|
| 1389 |
+
"epoch": 3.75,
|
| 1390 |
+
"eval_accuracy": 0.5,
|
| 1391 |
+
"eval_loss": 0.9928790926933289,
|
| 1392 |
+
"eval_runtime": 12.4539,
|
| 1393 |
+
"eval_samples_per_second": 402.285,
|
| 1394 |
+
"eval_steps_per_second": 50.346,
|
| 1395 |
+
"step": 92000
|
| 1396 |
+
},
|
| 1397 |
+
{
|
| 1398 |
+
"epoch": 3.79,
|
| 1399 |
+
"learning_rate": 2.5820833333333335e-06,
|
| 1400 |
+
"loss": 1.02,
|
| 1401 |
+
"step": 93000
|
| 1402 |
+
},
|
| 1403 |
+
{
|
| 1404 |
+
"epoch": 3.79,
|
| 1405 |
+
"eval_accuracy": 0.5011976047904192,
|
| 1406 |
+
"eval_loss": 0.9867545962333679,
|
| 1407 |
+
"eval_runtime": 12.4054,
|
| 1408 |
+
"eval_samples_per_second": 403.855,
|
| 1409 |
+
"eval_steps_per_second": 50.542,
|
| 1410 |
+
"step": 93000
|
| 1411 |
+
},
|
| 1412 |
+
{
|
| 1413 |
+
"epoch": 3.83,
|
| 1414 |
+
"learning_rate": 2.609861111111111e-06,
|
| 1415 |
+
"loss": 1.0144,
|
| 1416 |
+
"step": 94000
|
| 1417 |
+
},
|
| 1418 |
+
{
|
| 1419 |
+
"epoch": 3.83,
|
| 1420 |
+
"eval_accuracy": 0.5027944111776447,
|
| 1421 |
+
"eval_loss": 0.9887515902519226,
|
| 1422 |
+
"eval_runtime": 12.8101,
|
| 1423 |
+
"eval_samples_per_second": 391.097,
|
| 1424 |
+
"eval_steps_per_second": 48.946,
|
| 1425 |
+
"step": 94000
|
| 1426 |
+
},
|
| 1427 |
+
{
|
| 1428 |
+
"epoch": 3.87,
|
| 1429 |
+
"learning_rate": 2.6376111111111114e-06,
|
| 1430 |
+
"loss": 1.0166,
|
| 1431 |
+
"step": 95000
|
| 1432 |
+
},
|
| 1433 |
+
{
|
| 1434 |
+
"epoch": 3.87,
|
| 1435 |
+
"eval_accuracy": 0.5077844311377245,
|
| 1436 |
+
"eval_loss": 0.9852330684661865,
|
| 1437 |
+
"eval_runtime": 12.6394,
|
| 1438 |
+
"eval_samples_per_second": 396.379,
|
| 1439 |
+
"eval_steps_per_second": 49.607,
|
| 1440 |
+
"step": 95000
|
| 1441 |
+
},
|
| 1442 |
+
{
|
| 1443 |
+
"epoch": 3.91,
|
| 1444 |
+
"learning_rate": 2.6653888888888894e-06,
|
| 1445 |
+
"loss": 1.0173,
|
| 1446 |
+
"step": 96000
|
| 1447 |
+
},
|
| 1448 |
+
{
|
| 1449 |
+
"epoch": 3.91,
|
| 1450 |
+
"eval_accuracy": 0.5053892215568863,
|
| 1451 |
+
"eval_loss": 0.9848083257675171,
|
| 1452 |
+
"eval_runtime": 12.5421,
|
| 1453 |
+
"eval_samples_per_second": 399.456,
|
| 1454 |
+
"eval_steps_per_second": 49.992,
|
| 1455 |
+
"step": 96000
|
| 1456 |
+
},
|
| 1457 |
+
{
|
| 1458 |
+
"epoch": 3.95,
|
| 1459 |
+
"learning_rate": 2.6931388888888892e-06,
|
| 1460 |
+
"loss": 1.0159,
|
| 1461 |
+
"step": 97000
|
| 1462 |
+
},
|
| 1463 |
+
{
|
| 1464 |
+
"epoch": 3.95,
|
| 1465 |
+
"eval_accuracy": 0.5051896207584831,
|
| 1466 |
+
"eval_loss": 0.9930784702301025,
|
| 1467 |
+
"eval_runtime": 12.6498,
|
| 1468 |
+
"eval_samples_per_second": 396.054,
|
| 1469 |
+
"eval_steps_per_second": 49.566,
|
| 1470 |
+
"step": 97000
|
| 1471 |
+
},
|
| 1472 |
+
{
|
| 1473 |
+
"epoch": 3.99,
|
| 1474 |
+
"learning_rate": 2.7209166666666668e-06,
|
| 1475 |
+
"loss": 1.0126,
|
| 1476 |
+
"step": 98000
|
| 1477 |
+
},
|
| 1478 |
+
{
|
| 1479 |
+
"epoch": 3.99,
|
| 1480 |
+
"eval_accuracy": 0.5037924151696607,
|
| 1481 |
+
"eval_loss": 0.9865526556968689,
|
| 1482 |
+
"eval_runtime": 12.4969,
|
| 1483 |
+
"eval_samples_per_second": 400.899,
|
| 1484 |
+
"eval_steps_per_second": 50.172,
|
| 1485 |
+
"step": 98000
|
| 1486 |
+
},
|
| 1487 |
+
{
|
| 1488 |
+
"epoch": 4.03,
|
| 1489 |
+
"learning_rate": 2.7486666666666666e-06,
|
| 1490 |
+
"loss": 1.0129,
|
| 1491 |
+
"step": 99000
|
| 1492 |
+
},
|
| 1493 |
+
{
|
| 1494 |
+
"epoch": 4.03,
|
| 1495 |
+
"eval_accuracy": 0.5073852295409181,
|
| 1496 |
+
"eval_loss": 0.9890230298042297,
|
| 1497 |
+
"eval_runtime": 12.7759,
|
| 1498 |
+
"eval_samples_per_second": 392.143,
|
| 1499 |
+
"eval_steps_per_second": 49.077,
|
| 1500 |
+
"step": 99000
|
| 1501 |
+
},
|
| 1502 |
+
{
|
| 1503 |
+
"epoch": 4.07,
|
| 1504 |
+
"learning_rate": 2.7764444444444446e-06,
|
| 1505 |
+
"loss": 1.0145,
|
| 1506 |
+
"step": 100000
|
| 1507 |
+
},
|
| 1508 |
+
{
|
| 1509 |
+
"epoch": 4.07,
|
| 1510 |
+
"eval_accuracy": 0.506187624750499,
|
| 1511 |
+
"eval_loss": 0.9834555387496948,
|
| 1512 |
+
"eval_runtime": 12.6734,
|
| 1513 |
+
"eval_samples_per_second": 395.316,
|
| 1514 |
+
"eval_steps_per_second": 49.474,
|
| 1515 |
+
"step": 100000
|
| 1516 |
+
}
|
| 1517 |
+
],
|
| 1518 |
+
"logging_steps": 1000,
|
| 1519 |
+
"max_steps": 10000000,
|
| 1520 |
+
"num_train_epochs": 408,
|
| 1521 |
+
"save_steps": 1000,
|
| 1522 |
+
"total_flos": 3.4843796544946176e+16,
|
| 1523 |
+
"trial_name": null,
|
| 1524 |
+
"trial_params": null
|
| 1525 |
+
}
|
checkpoint-100000/training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f48fd322744a41332d86e79cb68054df0053a36e9279c46ff138f13ef1aab365
|
| 3 |
+
size 4027
|
checkpoint-100000/vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|