Training in progress, step 105000, checkpoint
Browse files- checkpoint-105000/added_tokens.json +5 -0
- checkpoint-105000/config.json +46 -0
- checkpoint-105000/merges.txt +0 -0
- checkpoint-105000/optimizer.pt +3 -0
- checkpoint-105000/pytorch_model.bin +3 -0
- checkpoint-105000/rng_state.pth +3 -0
- checkpoint-105000/scheduler.pt +3 -0
- checkpoint-105000/special_tokens_map.json +6 -0
- checkpoint-105000/tokenizer_config.json +7 -0
- checkpoint-105000/trainer_state.json +1600 -0
- checkpoint-105000/training_args.bin +3 -0
- checkpoint-105000/vocab.json +0 -0
checkpoint-105000/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<bos>": 40478,
|
3 |
+
"<eos>": 40479,
|
4 |
+
"<pad>": 40480
|
5 |
+
}
|
checkpoint-105000/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": 4,
|
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-105000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-105000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:c0c517de10267455de1a99dac41d202da5a577dd443ca5b175f8871a8dab0e96
|
3 |
+
size 478721285
|
checkpoint-105000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:05fbf84e6fe836fdfc32260f106cebec4315afa24b17308636e75c5012955dab
|
3 |
+
size 239361994
|
checkpoint-105000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:248133b3c0d7a2d50d9bb9e1706750f3df218c0a2c7ec71299f4ba11a1effa3a
|
3 |
+
size 14575
|
checkpoint-105000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:5ceb89d7387fc71cf7e7b020215345abbadaafd0848c6eac7cf852c95691ffae
|
3 |
+
size 627
|
checkpoint-105000/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-105000/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-105000/trainer_state.json
ADDED
@@ -0,0 +1,1600 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9800674319267273,
|
3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-103000",
|
4 |
+
"epoch": 4.278031290743155,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 105000,
|
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": 1.2184,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 2.7750000000000004e-08,
|
20 |
+
"loss": 1.1394,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.3327345309381238,
|
26 |
+
"eval_loss": 1.1149410009384155,
|
27 |
+
"eval_runtime": 20.6803,
|
28 |
+
"eval_samples_per_second": 242.26,
|
29 |
+
"eval_steps_per_second": 30.319,
|
30 |
+
"step": 1000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 5.5527777777777784e-08,
|
35 |
+
"loss": 1.1141,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.3401197604790419,
|
41 |
+
"eval_loss": 1.104099988937378,
|
42 |
+
"eval_runtime": 20.8477,
|
43 |
+
"eval_samples_per_second": 240.314,
|
44 |
+
"eval_steps_per_second": 30.075,
|
45 |
+
"step": 2000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 8.330555555555556e-08,
|
50 |
+
"loss": 1.116,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.3407185628742515,
|
56 |
+
"eval_loss": 1.1040862798690796,
|
57 |
+
"eval_runtime": 20.6818,
|
58 |
+
"eval_samples_per_second": 242.242,
|
59 |
+
"eval_steps_per_second": 30.317,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 1.1108333333333333e-07,
|
65 |
+
"loss": 1.1158,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.32894211576846305,
|
71 |
+
"eval_loss": 1.1020556688308716,
|
72 |
+
"eval_runtime": 20.8541,
|
73 |
+
"eval_samples_per_second": 240.241,
|
74 |
+
"eval_steps_per_second": 30.066,
|
75 |
+
"step": 4000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 1.3883333333333335e-07,
|
80 |
+
"loss": 1.1135,
|
81 |
+
"step": 5000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.34271457085828344,
|
86 |
+
"eval_loss": 1.1008552312850952,
|
87 |
+
"eval_runtime": 20.8055,
|
88 |
+
"eval_samples_per_second": 240.802,
|
89 |
+
"eval_steps_per_second": 30.136,
|
90 |
+
"step": 5000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 1.6658333333333335e-07,
|
95 |
+
"loss": 1.1121,
|
96 |
+
"step": 6000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.3395209580838323,
|
101 |
+
"eval_loss": 1.1004050970077515,
|
102 |
+
"eval_runtime": 20.8985,
|
103 |
+
"eval_samples_per_second": 239.731,
|
104 |
+
"eval_steps_per_second": 30.002,
|
105 |
+
"step": 6000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.29,
|
109 |
+
"learning_rate": 1.9436111111111112e-07,
|
110 |
+
"loss": 1.1089,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.29,
|
115 |
+
"eval_accuracy": 0.35788423153692617,
|
116 |
+
"eval_loss": 1.0985721349716187,
|
117 |
+
"eval_runtime": 20.84,
|
118 |
+
"eval_samples_per_second": 240.403,
|
119 |
+
"eval_steps_per_second": 30.086,
|
120 |
+
"step": 7000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.33,
|
124 |
+
"learning_rate": 2.2213888888888891e-07,
|
125 |
+
"loss": 1.1079,
|
126 |
+
"step": 8000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.33,
|
130 |
+
"eval_accuracy": 0.3331337325349301,
|
131 |
+
"eval_loss": 1.098374843597412,
|
132 |
+
"eval_runtime": 20.7886,
|
133 |
+
"eval_samples_per_second": 240.998,
|
134 |
+
"eval_steps_per_second": 30.161,
|
135 |
+
"step": 8000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.37,
|
139 |
+
"learning_rate": 2.4988888888888893e-07,
|
140 |
+
"loss": 1.1087,
|
141 |
+
"step": 9000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.37,
|
145 |
+
"eval_accuracy": 0.34510978043912177,
|
146 |
+
"eval_loss": 1.0993521213531494,
|
147 |
+
"eval_runtime": 20.782,
|
148 |
+
"eval_samples_per_second": 241.074,
|
149 |
+
"eval_steps_per_second": 30.17,
|
150 |
+
"step": 9000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.41,
|
154 |
+
"learning_rate": 2.776666666666667e-07,
|
155 |
+
"loss": 1.109,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.41,
|
160 |
+
"eval_accuracy": 0.3475049900199601,
|
161 |
+
"eval_loss": 1.0967597961425781,
|
162 |
+
"eval_runtime": 20.6798,
|
163 |
+
"eval_samples_per_second": 242.265,
|
164 |
+
"eval_steps_per_second": 30.319,
|
165 |
+
"step": 10000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 3.054444444444444e-07,
|
170 |
+
"loss": 1.1052,
|
171 |
+
"step": 11000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.45,
|
175 |
+
"eval_accuracy": 0.37544910179640717,
|
176 |
+
"eval_loss": 1.0941349267959595,
|
177 |
+
"eval_runtime": 20.8641,
|
178 |
+
"eval_samples_per_second": 240.126,
|
179 |
+
"eval_steps_per_second": 30.052,
|
180 |
+
"step": 11000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.49,
|
184 |
+
"learning_rate": 3.3322222222222225e-07,
|
185 |
+
"loss": 1.105,
|
186 |
+
"step": 12000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.49,
|
190 |
+
"eval_accuracy": 0.3834331337325349,
|
191 |
+
"eval_loss": 1.0927647352218628,
|
192 |
+
"eval_runtime": 20.6541,
|
193 |
+
"eval_samples_per_second": 242.567,
|
194 |
+
"eval_steps_per_second": 30.357,
|
195 |
+
"step": 12000
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 3.609722222222222e-07,
|
200 |
+
"loss": 1.1016,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.53,
|
205 |
+
"eval_accuracy": 0.3457085828343313,
|
206 |
+
"eval_loss": 1.0942081212997437,
|
207 |
+
"eval_runtime": 21.0733,
|
208 |
+
"eval_samples_per_second": 237.742,
|
209 |
+
"eval_steps_per_second": 29.753,
|
210 |
+
"step": 13000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.57,
|
214 |
+
"learning_rate": 3.8875e-07,
|
215 |
+
"loss": 1.1031,
|
216 |
+
"step": 14000
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.57,
|
220 |
+
"eval_accuracy": 0.37005988023952097,
|
221 |
+
"eval_loss": 1.0918152332305908,
|
222 |
+
"eval_runtime": 20.9151,
|
223 |
+
"eval_samples_per_second": 239.54,
|
224 |
+
"eval_steps_per_second": 29.978,
|
225 |
+
"step": 14000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.1652777777777786e-07,
|
230 |
+
"loss": 1.1026,
|
231 |
+
"step": 15000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.61,
|
235 |
+
"eval_accuracy": 0.3790419161676647,
|
236 |
+
"eval_loss": 1.0895211696624756,
|
237 |
+
"eval_runtime": 21.0591,
|
238 |
+
"eval_samples_per_second": 237.902,
|
239 |
+
"eval_steps_per_second": 29.773,
|
240 |
+
"step": 15000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.65,
|
244 |
+
"learning_rate": 4.4427777777777783e-07,
|
245 |
+
"loss": 1.0988,
|
246 |
+
"step": 16000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.65,
|
250 |
+
"eval_accuracy": 0.4101796407185629,
|
251 |
+
"eval_loss": 1.0852997303009033,
|
252 |
+
"eval_runtime": 20.9509,
|
253 |
+
"eval_samples_per_second": 239.131,
|
254 |
+
"eval_steps_per_second": 29.927,
|
255 |
+
"step": 16000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.720555555555556e-07,
|
260 |
+
"loss": 1.0974,
|
261 |
+
"step": 17000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.69,
|
265 |
+
"eval_accuracy": 0.43213572854291415,
|
266 |
+
"eval_loss": 1.0791982412338257,
|
267 |
+
"eval_runtime": 20.7526,
|
268 |
+
"eval_samples_per_second": 241.415,
|
269 |
+
"eval_steps_per_second": 30.213,
|
270 |
+
"step": 17000
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.73,
|
274 |
+
"learning_rate": 4.998055555555556e-07,
|
275 |
+
"loss": 1.0932,
|
276 |
+
"step": 18000
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.73,
|
280 |
+
"eval_accuracy": 0.4275449101796407,
|
281 |
+
"eval_loss": 1.072191596031189,
|
282 |
+
"eval_runtime": 21.2435,
|
283 |
+
"eval_samples_per_second": 235.837,
|
284 |
+
"eval_steps_per_second": 29.515,
|
285 |
+
"step": 18000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.77,
|
289 |
+
"learning_rate": 5.275833333333334e-07,
|
290 |
+
"loss": 1.0833,
|
291 |
+
"step": 19000
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.77,
|
295 |
+
"eval_accuracy": 0.43233532934131735,
|
296 |
+
"eval_loss": 1.06425940990448,
|
297 |
+
"eval_runtime": 20.7923,
|
298 |
+
"eval_samples_per_second": 240.955,
|
299 |
+
"eval_steps_per_second": 30.155,
|
300 |
+
"step": 19000
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.81,
|
304 |
+
"learning_rate": 5.553333333333334e-07,
|
305 |
+
"loss": 1.0787,
|
306 |
+
"step": 20000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.81,
|
310 |
+
"eval_accuracy": 0.4295409181636727,
|
311 |
+
"eval_loss": 1.0638529062271118,
|
312 |
+
"eval_runtime": 21.0018,
|
313 |
+
"eval_samples_per_second": 238.551,
|
314 |
+
"eval_steps_per_second": 29.855,
|
315 |
+
"step": 20000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 5.831111111111111e-07,
|
320 |
+
"loss": 1.0779,
|
321 |
+
"step": 21000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.86,
|
325 |
+
"eval_accuracy": 0.4243512974051896,
|
326 |
+
"eval_loss": 1.0603673458099365,
|
327 |
+
"eval_runtime": 20.9689,
|
328 |
+
"eval_samples_per_second": 238.926,
|
329 |
+
"eval_steps_per_second": 29.901,
|
330 |
+
"step": 21000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.9,
|
334 |
+
"learning_rate": 6.108888888888888e-07,
|
335 |
+
"loss": 1.0751,
|
336 |
+
"step": 22000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.9,
|
340 |
+
"eval_accuracy": 0.43233532934131735,
|
341 |
+
"eval_loss": 1.0603009462356567,
|
342 |
+
"eval_runtime": 20.8897,
|
343 |
+
"eval_samples_per_second": 239.831,
|
344 |
+
"eval_steps_per_second": 30.015,
|
345 |
+
"step": 22000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 6.386388888888889e-07,
|
350 |
+
"loss": 1.0776,
|
351 |
+
"step": 23000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.94,
|
355 |
+
"eval_accuracy": 0.42734530938123755,
|
356 |
+
"eval_loss": 1.0591468811035156,
|
357 |
+
"eval_runtime": 20.964,
|
358 |
+
"eval_samples_per_second": 238.981,
|
359 |
+
"eval_steps_per_second": 29.908,
|
360 |
+
"step": 23000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.98,
|
364 |
+
"learning_rate": 6.664166666666667e-07,
|
365 |
+
"loss": 1.0754,
|
366 |
+
"step": 24000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.98,
|
370 |
+
"eval_accuracy": 0.4245508982035928,
|
371 |
+
"eval_loss": 1.0589721202850342,
|
372 |
+
"eval_runtime": 20.9053,
|
373 |
+
"eval_samples_per_second": 239.652,
|
374 |
+
"eval_steps_per_second": 29.992,
|
375 |
+
"step": 24000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.02,
|
379 |
+
"learning_rate": 6.941666666666667e-07,
|
380 |
+
"loss": 1.0736,
|
381 |
+
"step": 25000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.02,
|
385 |
+
"eval_accuracy": 0.43213572854291415,
|
386 |
+
"eval_loss": 1.0583962202072144,
|
387 |
+
"eval_runtime": 21.3265,
|
388 |
+
"eval_samples_per_second": 234.919,
|
389 |
+
"eval_steps_per_second": 29.4,
|
390 |
+
"step": 25000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.06,
|
394 |
+
"learning_rate": 7.219444444444444e-07,
|
395 |
+
"loss": 1.0717,
|
396 |
+
"step": 26000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"eval_accuracy": 0.4305389221556886,
|
401 |
+
"eval_loss": 1.0561293363571167,
|
402 |
+
"eval_runtime": 21.3034,
|
403 |
+
"eval_samples_per_second": 235.174,
|
404 |
+
"eval_steps_per_second": 29.432,
|
405 |
+
"step": 26000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.1,
|
409 |
+
"learning_rate": 7.496944444444444e-07,
|
410 |
+
"loss": 1.0709,
|
411 |
+
"step": 27000
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.1,
|
415 |
+
"eval_accuracy": 0.4281437125748503,
|
416 |
+
"eval_loss": 1.0555357933044434,
|
417 |
+
"eval_runtime": 21.2178,
|
418 |
+
"eval_samples_per_second": 236.123,
|
419 |
+
"eval_steps_per_second": 29.551,
|
420 |
+
"step": 27000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.14,
|
424 |
+
"learning_rate": 7.774722222222223e-07,
|
425 |
+
"loss": 1.0701,
|
426 |
+
"step": 28000
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"eval_accuracy": 0.4217564870259481,
|
431 |
+
"eval_loss": 1.054961085319519,
|
432 |
+
"eval_runtime": 21.1775,
|
433 |
+
"eval_samples_per_second": 236.571,
|
434 |
+
"eval_steps_per_second": 29.607,
|
435 |
+
"step": 28000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.18,
|
439 |
+
"learning_rate": 8.052222222222223e-07,
|
440 |
+
"loss": 1.0641,
|
441 |
+
"step": 29000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.18,
|
445 |
+
"eval_accuracy": 0.4291417165668663,
|
446 |
+
"eval_loss": 1.0518379211425781,
|
447 |
+
"eval_runtime": 21.0932,
|
448 |
+
"eval_samples_per_second": 237.517,
|
449 |
+
"eval_steps_per_second": 29.725,
|
450 |
+
"step": 29000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.22,
|
454 |
+
"learning_rate": 8.330000000000001e-07,
|
455 |
+
"loss": 1.064,
|
456 |
+
"step": 30000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"eval_accuracy": 0.43173652694610776,
|
461 |
+
"eval_loss": 1.0493717193603516,
|
462 |
+
"eval_runtime": 21.2843,
|
463 |
+
"eval_samples_per_second": 235.385,
|
464 |
+
"eval_steps_per_second": 29.458,
|
465 |
+
"step": 30000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.26,
|
469 |
+
"learning_rate": 8.607500000000001e-07,
|
470 |
+
"loss": 1.0693,
|
471 |
+
"step": 31000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.26,
|
475 |
+
"eval_accuracy": 0.4291417165668663,
|
476 |
+
"eval_loss": 1.0521764755249023,
|
477 |
+
"eval_runtime": 21.2278,
|
478 |
+
"eval_samples_per_second": 236.011,
|
479 |
+
"eval_steps_per_second": 29.537,
|
480 |
+
"step": 31000
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.3,
|
484 |
+
"learning_rate": 8.885277777777779e-07,
|
485 |
+
"loss": 1.0649,
|
486 |
+
"step": 32000
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.3,
|
490 |
+
"eval_accuracy": 0.42375249500998,
|
491 |
+
"eval_loss": 1.0528494119644165,
|
492 |
+
"eval_runtime": 21.1249,
|
493 |
+
"eval_samples_per_second": 237.161,
|
494 |
+
"eval_steps_per_second": 29.681,
|
495 |
+
"step": 32000
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.34,
|
499 |
+
"learning_rate": 9.163055555555556e-07,
|
500 |
+
"loss": 1.0619,
|
501 |
+
"step": 33000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.34,
|
505 |
+
"eval_accuracy": 0.43293413173652695,
|
506 |
+
"eval_loss": 1.049193263053894,
|
507 |
+
"eval_runtime": 21.241,
|
508 |
+
"eval_samples_per_second": 235.865,
|
509 |
+
"eval_steps_per_second": 29.518,
|
510 |
+
"step": 33000
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.39,
|
514 |
+
"learning_rate": 9.440555555555557e-07,
|
515 |
+
"loss": 1.0582,
|
516 |
+
"step": 34000
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"eval_accuracy": 0.4357285429141717,
|
521 |
+
"eval_loss": 1.04512619972229,
|
522 |
+
"eval_runtime": 21.2531,
|
523 |
+
"eval_samples_per_second": 235.73,
|
524 |
+
"eval_steps_per_second": 29.502,
|
525 |
+
"step": 34000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.43,
|
529 |
+
"learning_rate": 9.718333333333334e-07,
|
530 |
+
"loss": 1.0629,
|
531 |
+
"step": 35000
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.43,
|
535 |
+
"eval_accuracy": 0.43253493013972055,
|
536 |
+
"eval_loss": 1.043523907661438,
|
537 |
+
"eval_runtime": 21.2176,
|
538 |
+
"eval_samples_per_second": 236.124,
|
539 |
+
"eval_steps_per_second": 29.551,
|
540 |
+
"step": 35000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.47,
|
544 |
+
"learning_rate": 9.995833333333334e-07,
|
545 |
+
"loss": 1.0588,
|
546 |
+
"step": 36000
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"eval_accuracy": 0.4307385229540918,
|
551 |
+
"eval_loss": 1.0413768291473389,
|
552 |
+
"eval_runtime": 21.2225,
|
553 |
+
"eval_samples_per_second": 236.07,
|
554 |
+
"eval_steps_per_second": 29.544,
|
555 |
+
"step": 36000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.51,
|
559 |
+
"learning_rate": 1.0273611111111112e-06,
|
560 |
+
"loss": 1.0552,
|
561 |
+
"step": 37000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.51,
|
565 |
+
"eval_accuracy": 0.4415169660678643,
|
566 |
+
"eval_loss": 1.0397700071334839,
|
567 |
+
"eval_runtime": 21.0651,
|
568 |
+
"eval_samples_per_second": 237.835,
|
569 |
+
"eval_steps_per_second": 29.765,
|
570 |
+
"step": 37000
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.55,
|
574 |
+
"learning_rate": 1.055138888888889e-06,
|
575 |
+
"loss": 1.0567,
|
576 |
+
"step": 38000
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"eval_accuracy": 0.4419161676646707,
|
581 |
+
"eval_loss": 1.0390877723693848,
|
582 |
+
"eval_runtime": 21.2858,
|
583 |
+
"eval_samples_per_second": 235.368,
|
584 |
+
"eval_steps_per_second": 29.456,
|
585 |
+
"step": 38000
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.59,
|
589 |
+
"learning_rate": 1.0829166666666667e-06,
|
590 |
+
"loss": 1.054,
|
591 |
+
"step": 39000
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.59,
|
595 |
+
"eval_accuracy": 0.43952095808383235,
|
596 |
+
"eval_loss": 1.0404103994369507,
|
597 |
+
"eval_runtime": 21.2544,
|
598 |
+
"eval_samples_per_second": 235.715,
|
599 |
+
"eval_steps_per_second": 29.5,
|
600 |
+
"step": 39000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.63,
|
604 |
+
"learning_rate": 1.1106666666666668e-06,
|
605 |
+
"loss": 1.049,
|
606 |
+
"step": 40000
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.63,
|
610 |
+
"eval_accuracy": 0.4477045908183633,
|
611 |
+
"eval_loss": 1.0360453128814697,
|
612 |
+
"eval_runtime": 21.0993,
|
613 |
+
"eval_samples_per_second": 237.448,
|
614 |
+
"eval_steps_per_second": 29.717,
|
615 |
+
"step": 40000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 1.67,
|
619 |
+
"learning_rate": 1.1384444444444446e-06,
|
620 |
+
"loss": 1.0522,
|
621 |
+
"step": 41000
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.67,
|
625 |
+
"eval_accuracy": 0.443313373253493,
|
626 |
+
"eval_loss": 1.0359567403793335,
|
627 |
+
"eval_runtime": 21.2828,
|
628 |
+
"eval_samples_per_second": 235.401,
|
629 |
+
"eval_steps_per_second": 29.46,
|
630 |
+
"step": 41000
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.71,
|
634 |
+
"learning_rate": 1.1661944444444447e-06,
|
635 |
+
"loss": 1.0459,
|
636 |
+
"step": 42000
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.71,
|
640 |
+
"eval_accuracy": 0.437125748502994,
|
641 |
+
"eval_loss": 1.0328505039215088,
|
642 |
+
"eval_runtime": 21.2626,
|
643 |
+
"eval_samples_per_second": 235.625,
|
644 |
+
"eval_steps_per_second": 29.488,
|
645 |
+
"step": 42000
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 1.75,
|
649 |
+
"learning_rate": 1.1939722222222222e-06,
|
650 |
+
"loss": 1.0488,
|
651 |
+
"step": 43000
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 1.75,
|
655 |
+
"eval_accuracy": 0.4379241516966068,
|
656 |
+
"eval_loss": 1.0460196733474731,
|
657 |
+
"eval_runtime": 21.2023,
|
658 |
+
"eval_samples_per_second": 236.295,
|
659 |
+
"eval_steps_per_second": 29.572,
|
660 |
+
"step": 43000
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.79,
|
664 |
+
"learning_rate": 1.2217222222222223e-06,
|
665 |
+
"loss": 1.0504,
|
666 |
+
"step": 44000
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.79,
|
670 |
+
"eval_accuracy": 0.4421157684630739,
|
671 |
+
"eval_loss": 1.0345144271850586,
|
672 |
+
"eval_runtime": 21.2684,
|
673 |
+
"eval_samples_per_second": 235.561,
|
674 |
+
"eval_steps_per_second": 29.48,
|
675 |
+
"step": 44000
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.83,
|
679 |
+
"learning_rate": 1.2494722222222224e-06,
|
680 |
+
"loss": 1.0482,
|
681 |
+
"step": 45000
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.83,
|
685 |
+
"eval_accuracy": 0.46467065868263474,
|
686 |
+
"eval_loss": 1.0280784368515015,
|
687 |
+
"eval_runtime": 21.1069,
|
688 |
+
"eval_samples_per_second": 237.363,
|
689 |
+
"eval_steps_per_second": 29.706,
|
690 |
+
"step": 45000
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.87,
|
694 |
+
"learning_rate": 1.2772500000000001e-06,
|
695 |
+
"loss": 1.046,
|
696 |
+
"step": 46000
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.87,
|
700 |
+
"eval_accuracy": 0.4554890219560878,
|
701 |
+
"eval_loss": 1.031961441040039,
|
702 |
+
"eval_runtime": 21.2098,
|
703 |
+
"eval_samples_per_second": 236.211,
|
704 |
+
"eval_steps_per_second": 29.562,
|
705 |
+
"step": 46000
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 1.91,
|
709 |
+
"learning_rate": 1.3050277777777777e-06,
|
710 |
+
"loss": 1.0391,
|
711 |
+
"step": 47000
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.91,
|
715 |
+
"eval_accuracy": 0.46706586826347307,
|
716 |
+
"eval_loss": 1.023941159248352,
|
717 |
+
"eval_runtime": 21.2269,
|
718 |
+
"eval_samples_per_second": 236.021,
|
719 |
+
"eval_steps_per_second": 29.538,
|
720 |
+
"step": 47000
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.96,
|
724 |
+
"learning_rate": 1.3328055555555555e-06,
|
725 |
+
"loss": 1.0444,
|
726 |
+
"step": 48000
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.96,
|
730 |
+
"eval_accuracy": 0.4491017964071856,
|
731 |
+
"eval_loss": 1.036636471748352,
|
732 |
+
"eval_runtime": 21.1179,
|
733 |
+
"eval_samples_per_second": 237.239,
|
734 |
+
"eval_steps_per_second": 29.69,
|
735 |
+
"step": 48000
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 2.0,
|
739 |
+
"learning_rate": 1.3605555555555555e-06,
|
740 |
+
"loss": 1.0386,
|
741 |
+
"step": 49000
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.0,
|
745 |
+
"eval_accuracy": 0.47305389221556887,
|
746 |
+
"eval_loss": 1.0199605226516724,
|
747 |
+
"eval_runtime": 21.2669,
|
748 |
+
"eval_samples_per_second": 235.577,
|
749 |
+
"eval_steps_per_second": 29.482,
|
750 |
+
"step": 49000
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 2.04,
|
754 |
+
"learning_rate": 1.3883333333333333e-06,
|
755 |
+
"loss": 1.0379,
|
756 |
+
"step": 50000
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 2.04,
|
760 |
+
"eval_accuracy": 0.4738522954091816,
|
761 |
+
"eval_loss": 1.0184080600738525,
|
762 |
+
"eval_runtime": 21.2806,
|
763 |
+
"eval_samples_per_second": 235.426,
|
764 |
+
"eval_steps_per_second": 29.463,
|
765 |
+
"step": 50000
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.08,
|
769 |
+
"learning_rate": 1.416111111111111e-06,
|
770 |
+
"loss": 1.0365,
|
771 |
+
"step": 51000
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.08,
|
775 |
+
"eval_accuracy": 0.474251497005988,
|
776 |
+
"eval_loss": 1.0143232345581055,
|
777 |
+
"eval_runtime": 21.1003,
|
778 |
+
"eval_samples_per_second": 237.437,
|
779 |
+
"eval_steps_per_second": 29.715,
|
780 |
+
"step": 51000
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 2.12,
|
784 |
+
"learning_rate": 1.4438888888888889e-06,
|
785 |
+
"loss": 1.0356,
|
786 |
+
"step": 52000
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.12,
|
790 |
+
"eval_accuracy": 0.4782435129740519,
|
791 |
+
"eval_loss": 1.0179694890975952,
|
792 |
+
"eval_runtime": 21.2847,
|
793 |
+
"eval_samples_per_second": 235.38,
|
794 |
+
"eval_steps_per_second": 29.458,
|
795 |
+
"step": 52000
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 2.16,
|
799 |
+
"learning_rate": 1.471611111111111e-06,
|
800 |
+
"loss": 1.0401,
|
801 |
+
"step": 53000
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 2.16,
|
805 |
+
"eval_accuracy": 0.4864271457085828,
|
806 |
+
"eval_loss": 1.008955955505371,
|
807 |
+
"eval_runtime": 21.0808,
|
808 |
+
"eval_samples_per_second": 237.657,
|
809 |
+
"eval_steps_per_second": 29.743,
|
810 |
+
"step": 53000
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 2.2,
|
814 |
+
"learning_rate": 1.4993888888888888e-06,
|
815 |
+
"loss": 1.0338,
|
816 |
+
"step": 54000
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 2.2,
|
820 |
+
"eval_accuracy": 0.4870259481037924,
|
821 |
+
"eval_loss": 1.0100921392440796,
|
822 |
+
"eval_runtime": 21.2581,
|
823 |
+
"eval_samples_per_second": 235.674,
|
824 |
+
"eval_steps_per_second": 29.495,
|
825 |
+
"step": 54000
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 2.24,
|
829 |
+
"learning_rate": 1.5271388888888889e-06,
|
830 |
+
"loss": 1.0322,
|
831 |
+
"step": 55000
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 2.24,
|
835 |
+
"eval_accuracy": 0.48403193612774453,
|
836 |
+
"eval_loss": 1.0082924365997314,
|
837 |
+
"eval_runtime": 21.2835,
|
838 |
+
"eval_samples_per_second": 235.394,
|
839 |
+
"eval_steps_per_second": 29.459,
|
840 |
+
"step": 55000
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 2.28,
|
844 |
+
"learning_rate": 1.5549166666666666e-06,
|
845 |
+
"loss": 1.0287,
|
846 |
+
"step": 56000
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 2.28,
|
850 |
+
"eval_accuracy": 0.47065868263473054,
|
851 |
+
"eval_loss": 1.0229328870773315,
|
852 |
+
"eval_runtime": 21.1356,
|
853 |
+
"eval_samples_per_second": 237.04,
|
854 |
+
"eval_steps_per_second": 29.666,
|
855 |
+
"step": 56000
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 2.32,
|
859 |
+
"learning_rate": 1.5826944444444446e-06,
|
860 |
+
"loss": 1.0291,
|
861 |
+
"step": 57000
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 2.32,
|
865 |
+
"eval_accuracy": 0.4844311377245509,
|
866 |
+
"eval_loss": 1.0074658393859863,
|
867 |
+
"eval_runtime": 21.2919,
|
868 |
+
"eval_samples_per_second": 235.301,
|
869 |
+
"eval_steps_per_second": 29.448,
|
870 |
+
"step": 57000
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.36,
|
874 |
+
"learning_rate": 1.6104722222222222e-06,
|
875 |
+
"loss": 1.0304,
|
876 |
+
"step": 58000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 2.36,
|
880 |
+
"eval_accuracy": 0.4874251497005988,
|
881 |
+
"eval_loss": 1.007895588874817,
|
882 |
+
"eval_runtime": 21.1997,
|
883 |
+
"eval_samples_per_second": 236.324,
|
884 |
+
"eval_steps_per_second": 29.576,
|
885 |
+
"step": 58000
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 2.4,
|
889 |
+
"learning_rate": 1.6381944444444445e-06,
|
890 |
+
"loss": 1.0259,
|
891 |
+
"step": 59000
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4,
|
895 |
+
"eval_accuracy": 0.492814371257485,
|
896 |
+
"eval_loss": 0.9993996620178223,
|
897 |
+
"eval_runtime": 21.0668,
|
898 |
+
"eval_samples_per_second": 237.815,
|
899 |
+
"eval_steps_per_second": 29.763,
|
900 |
+
"step": 59000
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 2.44,
|
904 |
+
"learning_rate": 1.6659722222222223e-06,
|
905 |
+
"loss": 1.0314,
|
906 |
+
"step": 60000
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 2.44,
|
910 |
+
"eval_accuracy": 0.48902195608782434,
|
911 |
+
"eval_loss": 1.0036838054656982,
|
912 |
+
"eval_runtime": 21.2359,
|
913 |
+
"eval_samples_per_second": 235.921,
|
914 |
+
"eval_steps_per_second": 29.525,
|
915 |
+
"step": 60000
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 2.49,
|
919 |
+
"learning_rate": 1.6937500000000003e-06,
|
920 |
+
"loss": 1.0276,
|
921 |
+
"step": 61000
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 2.49,
|
925 |
+
"eval_accuracy": 0.48502994011976047,
|
926 |
+
"eval_loss": 1.0065844058990479,
|
927 |
+
"eval_runtime": 21.07,
|
928 |
+
"eval_samples_per_second": 237.778,
|
929 |
+
"eval_steps_per_second": 29.758,
|
930 |
+
"step": 61000
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 2.53,
|
934 |
+
"learning_rate": 1.7215000000000002e-06,
|
935 |
+
"loss": 1.0298,
|
936 |
+
"step": 62000
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 2.53,
|
940 |
+
"eval_accuracy": 0.48263473053892214,
|
941 |
+
"eval_loss": 1.0085350275039673,
|
942 |
+
"eval_runtime": 21.4949,
|
943 |
+
"eval_samples_per_second": 233.079,
|
944 |
+
"eval_steps_per_second": 29.17,
|
945 |
+
"step": 62000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 2.57,
|
949 |
+
"learning_rate": 1.7492777777777777e-06,
|
950 |
+
"loss": 1.0292,
|
951 |
+
"step": 63000
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 2.57,
|
955 |
+
"eval_accuracy": 0.49560878243512974,
|
956 |
+
"eval_loss": 0.9984678030014038,
|
957 |
+
"eval_runtime": 21.4688,
|
958 |
+
"eval_samples_per_second": 233.362,
|
959 |
+
"eval_steps_per_second": 29.205,
|
960 |
+
"step": 63000
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 2.61,
|
964 |
+
"learning_rate": 1.7770277777777778e-06,
|
965 |
+
"loss": 1.0273,
|
966 |
+
"step": 64000
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 2.61,
|
970 |
+
"eval_accuracy": 0.4942115768463074,
|
971 |
+
"eval_loss": 0.9960917830467224,
|
972 |
+
"eval_runtime": 21.307,
|
973 |
+
"eval_samples_per_second": 235.134,
|
974 |
+
"eval_steps_per_second": 29.427,
|
975 |
+
"step": 64000
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.65,
|
979 |
+
"learning_rate": 1.8048055555555558e-06,
|
980 |
+
"loss": 1.0256,
|
981 |
+
"step": 65000
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 2.65,
|
985 |
+
"eval_accuracy": 0.49840319361277446,
|
986 |
+
"eval_loss": 0.9994720816612244,
|
987 |
+
"eval_runtime": 21.5116,
|
988 |
+
"eval_samples_per_second": 232.897,
|
989 |
+
"eval_steps_per_second": 29.147,
|
990 |
+
"step": 65000
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 2.69,
|
994 |
+
"learning_rate": 1.8325833333333333e-06,
|
995 |
+
"loss": 1.0306,
|
996 |
+
"step": 66000
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.69,
|
1000 |
+
"eval_accuracy": 0.49660678642714573,
|
1001 |
+
"eval_loss": 0.9951530694961548,
|
1002 |
+
"eval_runtime": 21.5301,
|
1003 |
+
"eval_samples_per_second": 232.697,
|
1004 |
+
"eval_steps_per_second": 29.122,
|
1005 |
+
"step": 66000
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.73,
|
1009 |
+
"learning_rate": 1.8603333333333334e-06,
|
1010 |
+
"loss": 1.0245,
|
1011 |
+
"step": 67000
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 2.73,
|
1015 |
+
"eval_accuracy": 0.499001996007984,
|
1016 |
+
"eval_loss": 0.9978940486907959,
|
1017 |
+
"eval_runtime": 21.0729,
|
1018 |
+
"eval_samples_per_second": 237.746,
|
1019 |
+
"eval_steps_per_second": 29.754,
|
1020 |
+
"step": 67000
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 2.77,
|
1024 |
+
"learning_rate": 1.8881111111111114e-06,
|
1025 |
+
"loss": 1.0247,
|
1026 |
+
"step": 68000
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.77,
|
1030 |
+
"eval_accuracy": 0.5,
|
1031 |
+
"eval_loss": 0.9951012134552002,
|
1032 |
+
"eval_runtime": 21.1793,
|
1033 |
+
"eval_samples_per_second": 236.552,
|
1034 |
+
"eval_steps_per_second": 29.604,
|
1035 |
+
"step": 68000
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 2.81,
|
1039 |
+
"learning_rate": 1.9158611111111115e-06,
|
1040 |
+
"loss": 1.0241,
|
1041 |
+
"step": 69000
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 2.81,
|
1045 |
+
"eval_accuracy": 0.5021956087824351,
|
1046 |
+
"eval_loss": 0.9969767332077026,
|
1047 |
+
"eval_runtime": 21.2229,
|
1048 |
+
"eval_samples_per_second": 236.066,
|
1049 |
+
"eval_steps_per_second": 29.544,
|
1050 |
+
"step": 69000
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 2.85,
|
1054 |
+
"learning_rate": 1.943638888888889e-06,
|
1055 |
+
"loss": 1.0242,
|
1056 |
+
"step": 70000
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 2.85,
|
1060 |
+
"eval_accuracy": 0.49720558882235527,
|
1061 |
+
"eval_loss": 1.00163733959198,
|
1062 |
+
"eval_runtime": 21.0442,
|
1063 |
+
"eval_samples_per_second": 238.071,
|
1064 |
+
"eval_steps_per_second": 29.794,
|
1065 |
+
"step": 70000
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 2.89,
|
1069 |
+
"learning_rate": 1.971416666666667e-06,
|
1070 |
+
"loss": 1.017,
|
1071 |
+
"step": 71000
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 2.89,
|
1075 |
+
"eval_accuracy": 0.49600798403193613,
|
1076 |
+
"eval_loss": 1.0031572580337524,
|
1077 |
+
"eval_runtime": 21.1987,
|
1078 |
+
"eval_samples_per_second": 236.336,
|
1079 |
+
"eval_steps_per_second": 29.577,
|
1080 |
+
"step": 71000
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.93,
|
1084 |
+
"learning_rate": 1.999166666666667e-06,
|
1085 |
+
"loss": 1.0237,
|
1086 |
+
"step": 72000
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 2.93,
|
1090 |
+
"eval_accuracy": 0.49001996007984033,
|
1091 |
+
"eval_loss": 1.0067389011383057,
|
1092 |
+
"eval_runtime": 21.2825,
|
1093 |
+
"eval_samples_per_second": 235.405,
|
1094 |
+
"eval_steps_per_second": 29.461,
|
1095 |
+
"step": 72000
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 2.97,
|
1099 |
+
"learning_rate": 2.0269444444444444e-06,
|
1100 |
+
"loss": 1.0208,
|
1101 |
+
"step": 73000
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.97,
|
1105 |
+
"eval_accuracy": 0.49560878243512974,
|
1106 |
+
"eval_loss": 1.0011804103851318,
|
1107 |
+
"eval_runtime": 21.137,
|
1108 |
+
"eval_samples_per_second": 237.025,
|
1109 |
+
"eval_steps_per_second": 29.664,
|
1110 |
+
"step": 73000
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 3.01,
|
1114 |
+
"learning_rate": 2.0546944444444447e-06,
|
1115 |
+
"loss": 1.021,
|
1116 |
+
"step": 74000
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 3.01,
|
1120 |
+
"eval_accuracy": 0.49580838323353293,
|
1121 |
+
"eval_loss": 0.9941307902336121,
|
1122 |
+
"eval_runtime": 21.161,
|
1123 |
+
"eval_samples_per_second": 236.757,
|
1124 |
+
"eval_steps_per_second": 29.63,
|
1125 |
+
"step": 74000
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 3.06,
|
1129 |
+
"learning_rate": 2.0824722222222223e-06,
|
1130 |
+
"loss": 1.0154,
|
1131 |
+
"step": 75000
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 3.06,
|
1135 |
+
"eval_accuracy": 0.49580838323353293,
|
1136 |
+
"eval_loss": 0.9971462488174438,
|
1137 |
+
"eval_runtime": 21.0263,
|
1138 |
+
"eval_samples_per_second": 238.273,
|
1139 |
+
"eval_steps_per_second": 29.82,
|
1140 |
+
"step": 75000
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 3.1,
|
1144 |
+
"learning_rate": 2.1102222222222226e-06,
|
1145 |
+
"loss": 1.0173,
|
1146 |
+
"step": 76000
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 3.1,
|
1150 |
+
"eval_accuracy": 0.5011976047904192,
|
1151 |
+
"eval_loss": 0.9884433150291443,
|
1152 |
+
"eval_runtime": 21.2199,
|
1153 |
+
"eval_samples_per_second": 236.099,
|
1154 |
+
"eval_steps_per_second": 29.548,
|
1155 |
+
"step": 76000
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 3.14,
|
1159 |
+
"learning_rate": 2.138e-06,
|
1160 |
+
"loss": 1.0181,
|
1161 |
+
"step": 77000
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 3.14,
|
1165 |
+
"eval_accuracy": 0.4808383233532934,
|
1166 |
+
"eval_loss": 1.0162075757980347,
|
1167 |
+
"eval_runtime": 21.2108,
|
1168 |
+
"eval_samples_per_second": 236.201,
|
1169 |
+
"eval_steps_per_second": 29.56,
|
1170 |
+
"step": 77000
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 3.18,
|
1174 |
+
"learning_rate": 2.16575e-06,
|
1175 |
+
"loss": 1.0112,
|
1176 |
+
"step": 78000
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 3.18,
|
1180 |
+
"eval_accuracy": 0.49880239520958086,
|
1181 |
+
"eval_loss": 0.9902569651603699,
|
1182 |
+
"eval_runtime": 21.032,
|
1183 |
+
"eval_samples_per_second": 238.209,
|
1184 |
+
"eval_steps_per_second": 29.812,
|
1185 |
+
"step": 78000
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 3.22,
|
1189 |
+
"learning_rate": 2.193527777777778e-06,
|
1190 |
+
"loss": 1.0166,
|
1191 |
+
"step": 79000
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 3.22,
|
1195 |
+
"eval_accuracy": 0.49500998003992014,
|
1196 |
+
"eval_loss": 1.0056451559066772,
|
1197 |
+
"eval_runtime": 21.1866,
|
1198 |
+
"eval_samples_per_second": 236.47,
|
1199 |
+
"eval_steps_per_second": 29.594,
|
1200 |
+
"step": 79000
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 3.26,
|
1204 |
+
"learning_rate": 2.221277777777778e-06,
|
1205 |
+
"loss": 1.0135,
|
1206 |
+
"step": 80000
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 3.26,
|
1210 |
+
"eval_accuracy": 0.49161676646706587,
|
1211 |
+
"eval_loss": 1.004488229751587,
|
1212 |
+
"eval_runtime": 21.2075,
|
1213 |
+
"eval_samples_per_second": 236.237,
|
1214 |
+
"eval_steps_per_second": 29.565,
|
1215 |
+
"step": 80000
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 3.3,
|
1219 |
+
"learning_rate": 2.249055555555556e-06,
|
1220 |
+
"loss": 1.0147,
|
1221 |
+
"step": 81000
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 3.3,
|
1225 |
+
"eval_accuracy": 0.49101796407185627,
|
1226 |
+
"eval_loss": 1.0022324323654175,
|
1227 |
+
"eval_runtime": 21.1622,
|
1228 |
+
"eval_samples_per_second": 236.743,
|
1229 |
+
"eval_steps_per_second": 29.628,
|
1230 |
+
"step": 81000
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 3.34,
|
1234 |
+
"learning_rate": 2.2768055555555557e-06,
|
1235 |
+
"loss": 1.0249,
|
1236 |
+
"step": 82000
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 3.34,
|
1240 |
+
"eval_accuracy": 0.49540918163672654,
|
1241 |
+
"eval_loss": 0.9961836338043213,
|
1242 |
+
"eval_runtime": 21.2661,
|
1243 |
+
"eval_samples_per_second": 235.586,
|
1244 |
+
"eval_steps_per_second": 29.484,
|
1245 |
+
"step": 82000
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 3.38,
|
1249 |
+
"learning_rate": 2.3045833333333336e-06,
|
1250 |
+
"loss": 1.012,
|
1251 |
+
"step": 83000
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 3.38,
|
1255 |
+
"eval_accuracy": 0.49520958083832334,
|
1256 |
+
"eval_loss": 0.997968316078186,
|
1257 |
+
"eval_runtime": 21.1127,
|
1258 |
+
"eval_samples_per_second": 237.298,
|
1259 |
+
"eval_steps_per_second": 29.698,
|
1260 |
+
"step": 83000
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 3.42,
|
1264 |
+
"learning_rate": 2.3323333333333335e-06,
|
1265 |
+
"loss": 1.0153,
|
1266 |
+
"step": 84000
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 3.42,
|
1270 |
+
"eval_accuracy": 0.5063872255489021,
|
1271 |
+
"eval_loss": 0.9885319471359253,
|
1272 |
+
"eval_runtime": 21.2015,
|
1273 |
+
"eval_samples_per_second": 236.304,
|
1274 |
+
"eval_steps_per_second": 29.573,
|
1275 |
+
"step": 84000
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 3.46,
|
1279 |
+
"learning_rate": 2.360111111111111e-06,
|
1280 |
+
"loss": 1.0113,
|
1281 |
+
"step": 85000
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 3.46,
|
1285 |
+
"eval_accuracy": 0.49860279441117766,
|
1286 |
+
"eval_loss": 0.9927662014961243,
|
1287 |
+
"eval_runtime": 21.2447,
|
1288 |
+
"eval_samples_per_second": 235.823,
|
1289 |
+
"eval_steps_per_second": 29.513,
|
1290 |
+
"step": 85000
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 3.5,
|
1294 |
+
"learning_rate": 2.3878611111111113e-06,
|
1295 |
+
"loss": 1.0222,
|
1296 |
+
"step": 86000
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 3.5,
|
1300 |
+
"eval_accuracy": 0.5073852295409181,
|
1301 |
+
"eval_loss": 0.9855450987815857,
|
1302 |
+
"eval_runtime": 21.03,
|
1303 |
+
"eval_samples_per_second": 238.231,
|
1304 |
+
"eval_steps_per_second": 29.815,
|
1305 |
+
"step": 86000
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 3.54,
|
1309 |
+
"learning_rate": 2.4156388888888893e-06,
|
1310 |
+
"loss": 1.0062,
|
1311 |
+
"step": 87000
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 3.54,
|
1315 |
+
"eval_accuracy": 0.5075848303393213,
|
1316 |
+
"eval_loss": 0.9856505990028381,
|
1317 |
+
"eval_runtime": 21.1796,
|
1318 |
+
"eval_samples_per_second": 236.548,
|
1319 |
+
"eval_steps_per_second": 29.604,
|
1320 |
+
"step": 87000
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 3.59,
|
1324 |
+
"learning_rate": 2.443388888888889e-06,
|
1325 |
+
"loss": 1.0157,
|
1326 |
+
"step": 88000
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 3.59,
|
1330 |
+
"eval_accuracy": 0.5115768463073852,
|
1331 |
+
"eval_loss": 0.9844857454299927,
|
1332 |
+
"eval_runtime": 21.2024,
|
1333 |
+
"eval_samples_per_second": 236.294,
|
1334 |
+
"eval_steps_per_second": 29.572,
|
1335 |
+
"step": 88000
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 3.63,
|
1339 |
+
"learning_rate": 2.4711666666666668e-06,
|
1340 |
+
"loss": 1.0069,
|
1341 |
+
"step": 89000
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 3.63,
|
1345 |
+
"eval_accuracy": 0.499001996007984,
|
1346 |
+
"eval_loss": 0.9894497394561768,
|
1347 |
+
"eval_runtime": 21.2532,
|
1348 |
+
"eval_samples_per_second": 235.729,
|
1349 |
+
"eval_steps_per_second": 29.501,
|
1350 |
+
"step": 89000
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 3.67,
|
1354 |
+
"learning_rate": 2.4989166666666666e-06,
|
1355 |
+
"loss": 1.0164,
|
1356 |
+
"step": 90000
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 3.67,
|
1360 |
+
"eval_accuracy": 0.5101796407185629,
|
1361 |
+
"eval_loss": 0.9842925667762756,
|
1362 |
+
"eval_runtime": 21.1914,
|
1363 |
+
"eval_samples_per_second": 236.416,
|
1364 |
+
"eval_steps_per_second": 29.587,
|
1365 |
+
"step": 90000
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 3.71,
|
1369 |
+
"learning_rate": 2.5266944444444446e-06,
|
1370 |
+
"loss": 1.0175,
|
1371 |
+
"step": 91000
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 3.71,
|
1375 |
+
"eval_accuracy": 0.5055888223552895,
|
1376 |
+
"eval_loss": 0.9913986325263977,
|
1377 |
+
"eval_runtime": 21.0589,
|
1378 |
+
"eval_samples_per_second": 237.904,
|
1379 |
+
"eval_steps_per_second": 29.774,
|
1380 |
+
"step": 91000
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 3.75,
|
1384 |
+
"learning_rate": 2.554444444444445e-06,
|
1385 |
+
"loss": 1.013,
|
1386 |
+
"step": 92000
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 3.75,
|
1390 |
+
"eval_accuracy": 0.5057884231536927,
|
1391 |
+
"eval_loss": 0.9887382388114929,
|
1392 |
+
"eval_runtime": 21.2965,
|
1393 |
+
"eval_samples_per_second": 235.25,
|
1394 |
+
"eval_steps_per_second": 29.441,
|
1395 |
+
"step": 92000
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.79,
|
1399 |
+
"learning_rate": 2.5822222222222224e-06,
|
1400 |
+
"loss": 1.0157,
|
1401 |
+
"step": 93000
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 3.79,
|
1405 |
+
"eval_accuracy": 0.5127744510978044,
|
1406 |
+
"eval_loss": 0.9854277968406677,
|
1407 |
+
"eval_runtime": 21.2839,
|
1408 |
+
"eval_samples_per_second": 235.389,
|
1409 |
+
"eval_steps_per_second": 29.459,
|
1410 |
+
"step": 93000
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 3.83,
|
1414 |
+
"learning_rate": 2.6099722222222223e-06,
|
1415 |
+
"loss": 1.0108,
|
1416 |
+
"step": 94000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.83,
|
1420 |
+
"eval_accuracy": 0.5039920159680639,
|
1421 |
+
"eval_loss": 0.9907957315444946,
|
1422 |
+
"eval_runtime": 21.0477,
|
1423 |
+
"eval_samples_per_second": 238.03,
|
1424 |
+
"eval_steps_per_second": 29.789,
|
1425 |
+
"step": 94000
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 3.87,
|
1429 |
+
"learning_rate": 2.6377500000000003e-06,
|
1430 |
+
"loss": 1.0132,
|
1431 |
+
"step": 95000
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 3.87,
|
1435 |
+
"eval_accuracy": 0.5161676646706587,
|
1436 |
+
"eval_loss": 0.9830310940742493,
|
1437 |
+
"eval_runtime": 21.2625,
|
1438 |
+
"eval_samples_per_second": 235.626,
|
1439 |
+
"eval_steps_per_second": 29.489,
|
1440 |
+
"step": 95000
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 3.91,
|
1444 |
+
"learning_rate": 2.6655e-06,
|
1445 |
+
"loss": 1.0139,
|
1446 |
+
"step": 96000
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 3.91,
|
1450 |
+
"eval_accuracy": 0.5125748502994012,
|
1451 |
+
"eval_loss": 0.9806137681007385,
|
1452 |
+
"eval_runtime": 21.1848,
|
1453 |
+
"eval_samples_per_second": 236.49,
|
1454 |
+
"eval_steps_per_second": 29.597,
|
1455 |
+
"step": 96000
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 3.95,
|
1459 |
+
"learning_rate": 2.6932777777777777e-06,
|
1460 |
+
"loss": 1.0104,
|
1461 |
+
"step": 97000
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 3.95,
|
1465 |
+
"eval_accuracy": 0.49640718562874253,
|
1466 |
+
"eval_loss": 0.9965940117835999,
|
1467 |
+
"eval_runtime": 21.1145,
|
1468 |
+
"eval_samples_per_second": 237.278,
|
1469 |
+
"eval_steps_per_second": 29.695,
|
1470 |
+
"step": 97000
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 3.99,
|
1474 |
+
"learning_rate": 2.721027777777778e-06,
|
1475 |
+
"loss": 1.011,
|
1476 |
+
"step": 98000
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 3.99,
|
1480 |
+
"eval_accuracy": 0.49800399201596807,
|
1481 |
+
"eval_loss": 0.9846762418746948,
|
1482 |
+
"eval_runtime": 21.2444,
|
1483 |
+
"eval_samples_per_second": 235.827,
|
1484 |
+
"eval_steps_per_second": 29.514,
|
1485 |
+
"step": 98000
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 4.03,
|
1489 |
+
"learning_rate": 2.748805555555556e-06,
|
1490 |
+
"loss": 1.0063,
|
1491 |
+
"step": 99000
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 4.03,
|
1495 |
+
"eval_accuracy": 0.5103792415169661,
|
1496 |
+
"eval_loss": 0.9853057265281677,
|
1497 |
+
"eval_runtime": 21.0515,
|
1498 |
+
"eval_samples_per_second": 237.988,
|
1499 |
+
"eval_steps_per_second": 29.784,
|
1500 |
+
"step": 99000
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 4.07,
|
1504 |
+
"learning_rate": 2.776555555555556e-06,
|
1505 |
+
"loss": 1.007,
|
1506 |
+
"step": 100000
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 4.07,
|
1510 |
+
"eval_accuracy": 0.5115768463073852,
|
1511 |
+
"eval_loss": 0.983065128326416,
|
1512 |
+
"eval_runtime": 21.2494,
|
1513 |
+
"eval_samples_per_second": 235.771,
|
1514 |
+
"eval_steps_per_second": 29.507,
|
1515 |
+
"step": 100000
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 4.12,
|
1519 |
+
"learning_rate": 2.8043333333333334e-06,
|
1520 |
+
"loss": 1.0107,
|
1521 |
+
"step": 101000
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 4.12,
|
1525 |
+
"eval_accuracy": 0.5129740518962076,
|
1526 |
+
"eval_loss": 0.9863881468772888,
|
1527 |
+
"eval_runtime": 21.2658,
|
1528 |
+
"eval_samples_per_second": 235.59,
|
1529 |
+
"eval_steps_per_second": 29.484,
|
1530 |
+
"step": 101000
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 4.16,
|
1534 |
+
"learning_rate": 2.8320833333333333e-06,
|
1535 |
+
"loss": 1.0055,
|
1536 |
+
"step": 102000
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 4.16,
|
1540 |
+
"eval_accuracy": 0.49840319361277446,
|
1541 |
+
"eval_loss": 0.9891018867492676,
|
1542 |
+
"eval_runtime": 21.0702,
|
1543 |
+
"eval_samples_per_second": 237.777,
|
1544 |
+
"eval_steps_per_second": 29.758,
|
1545 |
+
"step": 102000
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 4.2,
|
1549 |
+
"learning_rate": 2.8598611111111112e-06,
|
1550 |
+
"loss": 1.0115,
|
1551 |
+
"step": 103000
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 4.2,
|
1555 |
+
"eval_accuracy": 0.5115768463073852,
|
1556 |
+
"eval_loss": 0.9800674319267273,
|
1557 |
+
"eval_runtime": 21.2539,
|
1558 |
+
"eval_samples_per_second": 235.722,
|
1559 |
+
"eval_steps_per_second": 29.5,
|
1560 |
+
"step": 103000
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 4.24,
|
1564 |
+
"learning_rate": 2.8876111111111115e-06,
|
1565 |
+
"loss": 1.0039,
|
1566 |
+
"step": 104000
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 4.24,
|
1570 |
+
"eval_accuracy": 0.49500998003992014,
|
1571 |
+
"eval_loss": 0.9979402422904968,
|
1572 |
+
"eval_runtime": 21.1981,
|
1573 |
+
"eval_samples_per_second": 236.342,
|
1574 |
+
"eval_steps_per_second": 29.578,
|
1575 |
+
"step": 104000
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 4.28,
|
1579 |
+
"learning_rate": 2.915388888888889e-06,
|
1580 |
+
"loss": 1.0028,
|
1581 |
+
"step": 105000
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 4.28,
|
1585 |
+
"eval_accuracy": 0.492814371257485,
|
1586 |
+
"eval_loss": 1.007880687713623,
|
1587 |
+
"eval_runtime": 21.1024,
|
1588 |
+
"eval_samples_per_second": 237.413,
|
1589 |
+
"eval_steps_per_second": 29.712,
|
1590 |
+
"step": 105000
|
1591 |
+
}
|
1592 |
+
],
|
1593 |
+
"logging_steps": 1000,
|
1594 |
+
"max_steps": 10000000,
|
1595 |
+
"num_train_epochs": 408,
|
1596 |
+
"save_steps": 1000,
|
1597 |
+
"total_flos": 7.31660447687639e+16,
|
1598 |
+
"trial_name": null,
|
1599 |
+
"trial_params": null
|
1600 |
+
}
|
checkpoint-105000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d42437e01c6a8e691de275f2b2ef4e9ee68d60c829bca2508adb832bd55170f9
|
3 |
+
size 4027
|
checkpoint-105000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|