Training in progress, step 108000, checkpoint
Browse files- checkpoint-108000/added_tokens.json +5 -0
- checkpoint-108000/config.json +46 -0
- checkpoint-108000/merges.txt +0 -0
- checkpoint-108000/optimizer.pt +3 -0
- checkpoint-108000/pytorch_model.bin +3 -0
- checkpoint-108000/rng_state.pth +3 -0
- checkpoint-108000/scheduler.pt +3 -0
- checkpoint-108000/special_tokens_map.json +6 -0
- checkpoint-108000/tokenizer_config.json +7 -0
- checkpoint-108000/trainer_state.json +1645 -0
- checkpoint-108000/training_args.bin +3 -0
- checkpoint-108000/vocab.json +0 -0
checkpoint-108000/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<bos>": 40478,
|
3 |
+
"<eos>": 40479,
|
4 |
+
"<pad>": 40480
|
5 |
+
}
|
checkpoint-108000/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": 6,
|
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-108000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-108000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:9157707a48b56cceda73e2a76f9a948da0a4b3a99fee9585b4e367f73dbbe103
|
3 |
+
size 592141381
|
checkpoint-108000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:33695a82b4ebf1f65ff32ddee9cfd9690adcf1633c3191de78a0e7ecbd042936
|
3 |
+
size 296072722
|
checkpoint-108000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:25988b176b64df90c54fa18a20959ff50533f57c37cf634a90b072b5006be6cd
|
3 |
+
size 14575
|
checkpoint-108000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:cbc3d9833d5025da6a9a06360cb47f7c5c7f50b47fb2704150a0168d94ef4070
|
3 |
+
size 627
|
checkpoint-108000/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-108000/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-108000/trainer_state.json
ADDED
@@ -0,0 +1,1645 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9686606526374817,
|
3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-103000",
|
4 |
+
"epoch": 4.400260756192959,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 108000,
|
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": 1.2358,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 2.7750000000000004e-08,
|
20 |
+
"loss": 1.1519,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.3201596806387226,
|
26 |
+
"eval_loss": 1.1120171546936035,
|
27 |
+
"eval_runtime": 29.027,
|
28 |
+
"eval_samples_per_second": 172.598,
|
29 |
+
"eval_steps_per_second": 21.601,
|
30 |
+
"step": 1000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 5.5527777777777784e-08,
|
35 |
+
"loss": 1.128,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.31796407185628744,
|
41 |
+
"eval_loss": 1.108055830001831,
|
42 |
+
"eval_runtime": 28.9944,
|
43 |
+
"eval_samples_per_second": 172.792,
|
44 |
+
"eval_steps_per_second": 21.625,
|
45 |
+
"step": 2000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 8.327777777777778e-08,
|
50 |
+
"loss": 1.122,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.3345309381237525,
|
56 |
+
"eval_loss": 1.1074285507202148,
|
57 |
+
"eval_runtime": 28.9901,
|
58 |
+
"eval_samples_per_second": 172.818,
|
59 |
+
"eval_steps_per_second": 21.628,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 1.1105555555555557e-07,
|
65 |
+
"loss": 1.1196,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.3337325349301397,
|
71 |
+
"eval_loss": 1.1045424938201904,
|
72 |
+
"eval_runtime": 28.9791,
|
73 |
+
"eval_samples_per_second": 172.883,
|
74 |
+
"eval_steps_per_second": 21.636,
|
75 |
+
"step": 4000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 1.3880555555555558e-07,
|
80 |
+
"loss": 1.1169,
|
81 |
+
"step": 5000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.3397205588822355,
|
86 |
+
"eval_loss": 1.1033179759979248,
|
87 |
+
"eval_runtime": 29.0295,
|
88 |
+
"eval_samples_per_second": 172.583,
|
89 |
+
"eval_steps_per_second": 21.599,
|
90 |
+
"step": 5000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 1.6658333333333335e-07,
|
95 |
+
"loss": 1.118,
|
96 |
+
"step": 6000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.3401197604790419,
|
101 |
+
"eval_loss": 1.1030455827713013,
|
102 |
+
"eval_runtime": 28.9748,
|
103 |
+
"eval_samples_per_second": 172.909,
|
104 |
+
"eval_steps_per_second": 21.639,
|
105 |
+
"step": 6000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.29,
|
109 |
+
"learning_rate": 1.9433333333333334e-07,
|
110 |
+
"loss": 1.1135,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.29,
|
115 |
+
"eval_accuracy": 0.35568862275449104,
|
116 |
+
"eval_loss": 1.0998502969741821,
|
117 |
+
"eval_runtime": 28.9964,
|
118 |
+
"eval_samples_per_second": 172.78,
|
119 |
+
"eval_steps_per_second": 21.623,
|
120 |
+
"step": 7000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.33,
|
124 |
+
"learning_rate": 2.2211111111111114e-07,
|
125 |
+
"loss": 1.1136,
|
126 |
+
"step": 8000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.33,
|
130 |
+
"eval_accuracy": 0.34510978043912177,
|
131 |
+
"eval_loss": 1.098555564880371,
|
132 |
+
"eval_runtime": 28.983,
|
133 |
+
"eval_samples_per_second": 172.86,
|
134 |
+
"eval_steps_per_second": 21.633,
|
135 |
+
"step": 8000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.37,
|
139 |
+
"learning_rate": 2.4986111111111113e-07,
|
140 |
+
"loss": 1.11,
|
141 |
+
"step": 9000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.37,
|
145 |
+
"eval_accuracy": 0.3411177644710579,
|
146 |
+
"eval_loss": 1.1035741567611694,
|
147 |
+
"eval_runtime": 28.9758,
|
148 |
+
"eval_samples_per_second": 172.903,
|
149 |
+
"eval_steps_per_second": 21.639,
|
150 |
+
"step": 9000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.41,
|
154 |
+
"learning_rate": 2.776388888888889e-07,
|
155 |
+
"loss": 1.1076,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.41,
|
160 |
+
"eval_accuracy": 0.35788423153692617,
|
161 |
+
"eval_loss": 1.0970662832260132,
|
162 |
+
"eval_runtime": 29.0262,
|
163 |
+
"eval_samples_per_second": 172.603,
|
164 |
+
"eval_steps_per_second": 21.601,
|
165 |
+
"step": 10000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 3.0541666666666667e-07,
|
170 |
+
"loss": 1.1067,
|
171 |
+
"step": 11000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.45,
|
175 |
+
"eval_accuracy": 0.37425149700598803,
|
176 |
+
"eval_loss": 1.094608187675476,
|
177 |
+
"eval_runtime": 28.8738,
|
178 |
+
"eval_samples_per_second": 173.513,
|
179 |
+
"eval_steps_per_second": 21.715,
|
180 |
+
"step": 11000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.49,
|
184 |
+
"learning_rate": 3.3319444444444444e-07,
|
185 |
+
"loss": 1.1032,
|
186 |
+
"step": 12000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.49,
|
190 |
+
"eval_accuracy": 0.37924151696606784,
|
191 |
+
"eval_loss": 1.092067837715149,
|
192 |
+
"eval_runtime": 28.9514,
|
193 |
+
"eval_samples_per_second": 173.049,
|
194 |
+
"eval_steps_per_second": 21.657,
|
195 |
+
"step": 12000
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 3.6094444444444446e-07,
|
200 |
+
"loss": 1.1052,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.53,
|
205 |
+
"eval_accuracy": 0.3435129740518962,
|
206 |
+
"eval_loss": 1.0962508916854858,
|
207 |
+
"eval_runtime": 29.2203,
|
208 |
+
"eval_samples_per_second": 171.456,
|
209 |
+
"eval_steps_per_second": 21.458,
|
210 |
+
"step": 13000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.57,
|
214 |
+
"learning_rate": 3.8872222222222223e-07,
|
215 |
+
"loss": 1.1015,
|
216 |
+
"step": 14000
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.57,
|
220 |
+
"eval_accuracy": 0.36806387225548903,
|
221 |
+
"eval_loss": 1.0941067934036255,
|
222 |
+
"eval_runtime": 29.2088,
|
223 |
+
"eval_samples_per_second": 171.524,
|
224 |
+
"eval_steps_per_second": 21.466,
|
225 |
+
"step": 14000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.1650000000000006e-07,
|
230 |
+
"loss": 1.0986,
|
231 |
+
"step": 15000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.61,
|
235 |
+
"eval_accuracy": 0.3718562874251497,
|
236 |
+
"eval_loss": 1.0906143188476562,
|
237 |
+
"eval_runtime": 28.9463,
|
238 |
+
"eval_samples_per_second": 173.079,
|
239 |
+
"eval_steps_per_second": 21.661,
|
240 |
+
"step": 15000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.65,
|
244 |
+
"learning_rate": 4.4425e-07,
|
245 |
+
"loss": 1.0984,
|
246 |
+
"step": 16000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.65,
|
250 |
+
"eval_accuracy": 0.38183632734530937,
|
251 |
+
"eval_loss": 1.0862348079681396,
|
252 |
+
"eval_runtime": 28.9909,
|
253 |
+
"eval_samples_per_second": 172.813,
|
254 |
+
"eval_steps_per_second": 21.627,
|
255 |
+
"step": 16000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.7202777777777785e-07,
|
260 |
+
"loss": 1.0959,
|
261 |
+
"step": 17000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.69,
|
265 |
+
"eval_accuracy": 0.40079840319361276,
|
266 |
+
"eval_loss": 1.0846956968307495,
|
267 |
+
"eval_runtime": 28.9606,
|
268 |
+
"eval_samples_per_second": 172.994,
|
269 |
+
"eval_steps_per_second": 21.65,
|
270 |
+
"step": 17000
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.73,
|
274 |
+
"learning_rate": 4.998055555555556e-07,
|
275 |
+
"loss": 1.0965,
|
276 |
+
"step": 18000
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.73,
|
280 |
+
"eval_accuracy": 0.4043912175648703,
|
281 |
+
"eval_loss": 1.086153507232666,
|
282 |
+
"eval_runtime": 28.8411,
|
283 |
+
"eval_samples_per_second": 173.71,
|
284 |
+
"eval_steps_per_second": 21.74,
|
285 |
+
"step": 18000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.77,
|
289 |
+
"learning_rate": 5.275555555555556e-07,
|
290 |
+
"loss": 1.0966,
|
291 |
+
"step": 19000
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.77,
|
295 |
+
"eval_accuracy": 0.4041916167664671,
|
296 |
+
"eval_loss": 1.0824861526489258,
|
297 |
+
"eval_runtime": 28.9652,
|
298 |
+
"eval_samples_per_second": 172.966,
|
299 |
+
"eval_steps_per_second": 21.647,
|
300 |
+
"step": 19000
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.81,
|
304 |
+
"learning_rate": 5.553333333333334e-07,
|
305 |
+
"loss": 1.0943,
|
306 |
+
"step": 20000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.81,
|
310 |
+
"eval_accuracy": 0.4103792415169661,
|
311 |
+
"eval_loss": 1.0817394256591797,
|
312 |
+
"eval_runtime": 28.9548,
|
313 |
+
"eval_samples_per_second": 173.028,
|
314 |
+
"eval_steps_per_second": 21.654,
|
315 |
+
"step": 20000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 5.830833333333334e-07,
|
320 |
+
"loss": 1.0898,
|
321 |
+
"step": 21000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.86,
|
325 |
+
"eval_accuracy": 0.41357285429141716,
|
326 |
+
"eval_loss": 1.0764833688735962,
|
327 |
+
"eval_runtime": 28.9932,
|
328 |
+
"eval_samples_per_second": 172.799,
|
329 |
+
"eval_steps_per_second": 21.626,
|
330 |
+
"step": 21000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.9,
|
334 |
+
"learning_rate": 6.108611111111111e-07,
|
335 |
+
"loss": 1.0877,
|
336 |
+
"step": 22000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.9,
|
340 |
+
"eval_accuracy": 0.4293413173652695,
|
341 |
+
"eval_loss": 1.0701513290405273,
|
342 |
+
"eval_runtime": 28.9628,
|
343 |
+
"eval_samples_per_second": 172.98,
|
344 |
+
"eval_steps_per_second": 21.648,
|
345 |
+
"step": 22000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 6.386388888888889e-07,
|
350 |
+
"loss": 1.0826,
|
351 |
+
"step": 23000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.94,
|
355 |
+
"eval_accuracy": 0.4285429141716567,
|
356 |
+
"eval_loss": 1.0636069774627686,
|
357 |
+
"eval_runtime": 28.9704,
|
358 |
+
"eval_samples_per_second": 172.935,
|
359 |
+
"eval_steps_per_second": 21.643,
|
360 |
+
"step": 23000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.98,
|
364 |
+
"learning_rate": 6.664166666666667e-07,
|
365 |
+
"loss": 1.0781,
|
366 |
+
"step": 24000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.98,
|
370 |
+
"eval_accuracy": 0.43213572854291415,
|
371 |
+
"eval_loss": 1.059762954711914,
|
372 |
+
"eval_runtime": 29.0265,
|
373 |
+
"eval_samples_per_second": 172.601,
|
374 |
+
"eval_steps_per_second": 21.601,
|
375 |
+
"step": 24000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.02,
|
379 |
+
"learning_rate": 6.941666666666667e-07,
|
380 |
+
"loss": 1.0728,
|
381 |
+
"step": 25000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.02,
|
385 |
+
"eval_accuracy": 0.4373253493013972,
|
386 |
+
"eval_loss": 1.056991696357727,
|
387 |
+
"eval_runtime": 28.9761,
|
388 |
+
"eval_samples_per_second": 172.901,
|
389 |
+
"eval_steps_per_second": 21.639,
|
390 |
+
"step": 25000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.06,
|
394 |
+
"learning_rate": 7.219444444444444e-07,
|
395 |
+
"loss": 1.0719,
|
396 |
+
"step": 26000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"eval_accuracy": 0.43193612774451096,
|
401 |
+
"eval_loss": 1.0573900938034058,
|
402 |
+
"eval_runtime": 28.9853,
|
403 |
+
"eval_samples_per_second": 172.846,
|
404 |
+
"eval_steps_per_second": 21.632,
|
405 |
+
"step": 26000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.1,
|
409 |
+
"learning_rate": 7.496944444444444e-07,
|
410 |
+
"loss": 1.0683,
|
411 |
+
"step": 27000
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.1,
|
415 |
+
"eval_accuracy": 0.4305389221556886,
|
416 |
+
"eval_loss": 1.0567399263381958,
|
417 |
+
"eval_runtime": 28.9611,
|
418 |
+
"eval_samples_per_second": 172.991,
|
419 |
+
"eval_steps_per_second": 21.65,
|
420 |
+
"step": 27000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.14,
|
424 |
+
"learning_rate": 7.774722222222223e-07,
|
425 |
+
"loss": 1.0669,
|
426 |
+
"step": 28000
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"eval_accuracy": 0.4297405189620758,
|
431 |
+
"eval_loss": 1.05367910861969,
|
432 |
+
"eval_runtime": 28.9913,
|
433 |
+
"eval_samples_per_second": 172.81,
|
434 |
+
"eval_steps_per_second": 21.627,
|
435 |
+
"step": 28000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.18,
|
439 |
+
"learning_rate": 8.052222222222223e-07,
|
440 |
+
"loss": 1.0629,
|
441 |
+
"step": 29000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.18,
|
445 |
+
"eval_accuracy": 0.4303393213572854,
|
446 |
+
"eval_loss": 1.0497413873672485,
|
447 |
+
"eval_runtime": 28.9605,
|
448 |
+
"eval_samples_per_second": 172.994,
|
449 |
+
"eval_steps_per_second": 21.65,
|
450 |
+
"step": 29000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.22,
|
454 |
+
"learning_rate": 8.330000000000001e-07,
|
455 |
+
"loss": 1.0614,
|
456 |
+
"step": 30000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"eval_accuracy": 0.43173652694610776,
|
461 |
+
"eval_loss": 1.046238899230957,
|
462 |
+
"eval_runtime": 28.9896,
|
463 |
+
"eval_samples_per_second": 172.821,
|
464 |
+
"eval_steps_per_second": 21.628,
|
465 |
+
"step": 30000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.26,
|
469 |
+
"learning_rate": 8.607500000000001e-07,
|
470 |
+
"loss": 1.0669,
|
471 |
+
"step": 31000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.26,
|
475 |
+
"eval_accuracy": 0.43233532934131735,
|
476 |
+
"eval_loss": 1.0541218519210815,
|
477 |
+
"eval_runtime": 28.9432,
|
478 |
+
"eval_samples_per_second": 173.098,
|
479 |
+
"eval_steps_per_second": 21.663,
|
480 |
+
"step": 31000
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.3,
|
484 |
+
"learning_rate": 8.885277777777779e-07,
|
485 |
+
"loss": 1.0612,
|
486 |
+
"step": 32000
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.3,
|
490 |
+
"eval_accuracy": 0.4285429141716567,
|
491 |
+
"eval_loss": 1.0527743101119995,
|
492 |
+
"eval_runtime": 29.0895,
|
493 |
+
"eval_samples_per_second": 172.227,
|
494 |
+
"eval_steps_per_second": 21.554,
|
495 |
+
"step": 32000
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.34,
|
499 |
+
"learning_rate": 9.163055555555556e-07,
|
500 |
+
"loss": 1.0622,
|
501 |
+
"step": 33000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.34,
|
505 |
+
"eval_accuracy": 0.4339321357285429,
|
506 |
+
"eval_loss": 1.0462977886199951,
|
507 |
+
"eval_runtime": 29.1293,
|
508 |
+
"eval_samples_per_second": 171.992,
|
509 |
+
"eval_steps_per_second": 21.525,
|
510 |
+
"step": 33000
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.39,
|
514 |
+
"learning_rate": 9.440555555555557e-07,
|
515 |
+
"loss": 1.0542,
|
516 |
+
"step": 34000
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"eval_accuracy": 0.43313373253493015,
|
521 |
+
"eval_loss": 1.044585943222046,
|
522 |
+
"eval_runtime": 28.9734,
|
523 |
+
"eval_samples_per_second": 172.917,
|
524 |
+
"eval_steps_per_second": 21.641,
|
525 |
+
"step": 34000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.43,
|
529 |
+
"learning_rate": 9.718333333333334e-07,
|
530 |
+
"loss": 1.0588,
|
531 |
+
"step": 35000
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.43,
|
535 |
+
"eval_accuracy": 0.4281437125748503,
|
536 |
+
"eval_loss": 1.0411622524261475,
|
537 |
+
"eval_runtime": 28.9957,
|
538 |
+
"eval_samples_per_second": 172.784,
|
539 |
+
"eval_steps_per_second": 21.624,
|
540 |
+
"step": 35000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.47,
|
544 |
+
"learning_rate": 9.995833333333334e-07,
|
545 |
+
"loss": 1.0556,
|
546 |
+
"step": 36000
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"eval_accuracy": 0.44471057884231535,
|
551 |
+
"eval_loss": 1.037837266921997,
|
552 |
+
"eval_runtime": 29.0336,
|
553 |
+
"eval_samples_per_second": 172.559,
|
554 |
+
"eval_steps_per_second": 21.596,
|
555 |
+
"step": 36000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.51,
|
559 |
+
"learning_rate": 1.0273611111111112e-06,
|
560 |
+
"loss": 1.0548,
|
561 |
+
"step": 37000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.51,
|
565 |
+
"eval_accuracy": 0.4502994011976048,
|
566 |
+
"eval_loss": 1.035124659538269,
|
567 |
+
"eval_runtime": 29.0914,
|
568 |
+
"eval_samples_per_second": 172.216,
|
569 |
+
"eval_steps_per_second": 21.553,
|
570 |
+
"step": 37000
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.55,
|
574 |
+
"learning_rate": 1.055138888888889e-06,
|
575 |
+
"loss": 1.0566,
|
576 |
+
"step": 38000
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"eval_accuracy": 0.4497005988023952,
|
581 |
+
"eval_loss": 1.032871127128601,
|
582 |
+
"eval_runtime": 29.0304,
|
583 |
+
"eval_samples_per_second": 172.578,
|
584 |
+
"eval_steps_per_second": 21.598,
|
585 |
+
"step": 38000
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.59,
|
589 |
+
"learning_rate": 1.0829166666666667e-06,
|
590 |
+
"loss": 1.0513,
|
591 |
+
"step": 39000
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.59,
|
595 |
+
"eval_accuracy": 0.4477045908183633,
|
596 |
+
"eval_loss": 1.0365269184112549,
|
597 |
+
"eval_runtime": 29.0199,
|
598 |
+
"eval_samples_per_second": 172.64,
|
599 |
+
"eval_steps_per_second": 21.606,
|
600 |
+
"step": 39000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.63,
|
604 |
+
"learning_rate": 1.1106666666666668e-06,
|
605 |
+
"loss": 1.0453,
|
606 |
+
"step": 40000
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.63,
|
610 |
+
"eval_accuracy": 0.45708582834331335,
|
611 |
+
"eval_loss": 1.0288387537002563,
|
612 |
+
"eval_runtime": 29.1526,
|
613 |
+
"eval_samples_per_second": 171.854,
|
614 |
+
"eval_steps_per_second": 21.508,
|
615 |
+
"step": 40000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 1.67,
|
619 |
+
"learning_rate": 1.1384166666666669e-06,
|
620 |
+
"loss": 1.048,
|
621 |
+
"step": 41000
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.67,
|
625 |
+
"eval_accuracy": 0.44530938123752495,
|
626 |
+
"eval_loss": 1.0338605642318726,
|
627 |
+
"eval_runtime": 29.1871,
|
628 |
+
"eval_samples_per_second": 171.651,
|
629 |
+
"eval_steps_per_second": 21.482,
|
630 |
+
"step": 41000
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.71,
|
634 |
+
"learning_rate": 1.1661944444444447e-06,
|
635 |
+
"loss": 1.042,
|
636 |
+
"step": 42000
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.71,
|
640 |
+
"eval_accuracy": 0.45109780439121755,
|
641 |
+
"eval_loss": 1.0249321460723877,
|
642 |
+
"eval_runtime": 29.0275,
|
643 |
+
"eval_samples_per_second": 172.595,
|
644 |
+
"eval_steps_per_second": 21.6,
|
645 |
+
"step": 42000
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 1.75,
|
649 |
+
"learning_rate": 1.1939444444444445e-06,
|
650 |
+
"loss": 1.0437,
|
651 |
+
"step": 43000
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 1.75,
|
655 |
+
"eval_accuracy": 0.44510978043912175,
|
656 |
+
"eval_loss": 1.0416841506958008,
|
657 |
+
"eval_runtime": 29.0578,
|
658 |
+
"eval_samples_per_second": 172.415,
|
659 |
+
"eval_steps_per_second": 21.578,
|
660 |
+
"step": 43000
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.79,
|
664 |
+
"learning_rate": 1.2217222222222223e-06,
|
665 |
+
"loss": 1.0454,
|
666 |
+
"step": 44000
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.79,
|
670 |
+
"eval_accuracy": 0.4630738522954092,
|
671 |
+
"eval_loss": 1.020729422569275,
|
672 |
+
"eval_runtime": 29.0874,
|
673 |
+
"eval_samples_per_second": 172.24,
|
674 |
+
"eval_steps_per_second": 21.556,
|
675 |
+
"step": 44000
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.83,
|
679 |
+
"learning_rate": 1.2495e-06,
|
680 |
+
"loss": 1.0439,
|
681 |
+
"step": 45000
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.83,
|
685 |
+
"eval_accuracy": 0.4746506986027944,
|
686 |
+
"eval_loss": 1.0175539255142212,
|
687 |
+
"eval_runtime": 29.093,
|
688 |
+
"eval_samples_per_second": 172.206,
|
689 |
+
"eval_steps_per_second": 21.552,
|
690 |
+
"step": 45000
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.87,
|
694 |
+
"learning_rate": 1.2772500000000001e-06,
|
695 |
+
"loss": 1.0412,
|
696 |
+
"step": 46000
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.87,
|
700 |
+
"eval_accuracy": 0.4626746506986028,
|
701 |
+
"eval_loss": 1.0218861103057861,
|
702 |
+
"eval_runtime": 28.9933,
|
703 |
+
"eval_samples_per_second": 172.798,
|
704 |
+
"eval_steps_per_second": 21.626,
|
705 |
+
"step": 46000
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 1.91,
|
709 |
+
"learning_rate": 1.3050277777777777e-06,
|
710 |
+
"loss": 1.0362,
|
711 |
+
"step": 47000
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.91,
|
715 |
+
"eval_accuracy": 0.47944111776447107,
|
716 |
+
"eval_loss": 1.0074430704116821,
|
717 |
+
"eval_runtime": 29.1004,
|
718 |
+
"eval_samples_per_second": 172.163,
|
719 |
+
"eval_steps_per_second": 21.546,
|
720 |
+
"step": 47000
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.96,
|
724 |
+
"learning_rate": 1.3328055555555555e-06,
|
725 |
+
"loss": 1.0391,
|
726 |
+
"step": 48000
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.96,
|
730 |
+
"eval_accuracy": 0.4614770459081836,
|
731 |
+
"eval_loss": 1.0313252210617065,
|
732 |
+
"eval_runtime": 29.0173,
|
733 |
+
"eval_samples_per_second": 172.655,
|
734 |
+
"eval_steps_per_second": 21.608,
|
735 |
+
"step": 48000
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 2.0,
|
739 |
+
"learning_rate": 1.3605555555555555e-06,
|
740 |
+
"loss": 1.0331,
|
741 |
+
"step": 49000
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.0,
|
745 |
+
"eval_accuracy": 0.48303393213572854,
|
746 |
+
"eval_loss": 1.0042223930358887,
|
747 |
+
"eval_runtime": 29.0485,
|
748 |
+
"eval_samples_per_second": 172.47,
|
749 |
+
"eval_steps_per_second": 21.585,
|
750 |
+
"step": 49000
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 2.04,
|
754 |
+
"learning_rate": 1.3883333333333333e-06,
|
755 |
+
"loss": 1.0328,
|
756 |
+
"step": 50000
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 2.04,
|
760 |
+
"eval_accuracy": 0.4810379241516966,
|
761 |
+
"eval_loss": 1.0079505443572998,
|
762 |
+
"eval_runtime": 29.4084,
|
763 |
+
"eval_samples_per_second": 170.359,
|
764 |
+
"eval_steps_per_second": 21.32,
|
765 |
+
"step": 50000
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.08,
|
769 |
+
"learning_rate": 1.4160833333333334e-06,
|
770 |
+
"loss": 1.0325,
|
771 |
+
"step": 51000
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.08,
|
775 |
+
"eval_accuracy": 0.48403193612774453,
|
776 |
+
"eval_loss": 1.0023722648620605,
|
777 |
+
"eval_runtime": 29.4825,
|
778 |
+
"eval_samples_per_second": 169.932,
|
779 |
+
"eval_steps_per_second": 21.267,
|
780 |
+
"step": 51000
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 2.12,
|
784 |
+
"learning_rate": 1.4438611111111112e-06,
|
785 |
+
"loss": 1.029,
|
786 |
+
"step": 52000
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.12,
|
790 |
+
"eval_accuracy": 0.4786427145708583,
|
791 |
+
"eval_loss": 1.015783667564392,
|
792 |
+
"eval_runtime": 29.182,
|
793 |
+
"eval_samples_per_second": 171.681,
|
794 |
+
"eval_steps_per_second": 21.486,
|
795 |
+
"step": 52000
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 2.16,
|
799 |
+
"learning_rate": 1.471638888888889e-06,
|
800 |
+
"loss": 1.0317,
|
801 |
+
"step": 53000
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 2.16,
|
805 |
+
"eval_accuracy": 0.49001996007984033,
|
806 |
+
"eval_loss": 0.9999898672103882,
|
807 |
+
"eval_runtime": 29.4591,
|
808 |
+
"eval_samples_per_second": 170.067,
|
809 |
+
"eval_steps_per_second": 21.284,
|
810 |
+
"step": 53000
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 2.2,
|
814 |
+
"learning_rate": 1.4993888888888888e-06,
|
815 |
+
"loss": 1.0319,
|
816 |
+
"step": 54000
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 2.2,
|
820 |
+
"eval_accuracy": 0.48882235528942114,
|
821 |
+
"eval_loss": 1.0013622045516968,
|
822 |
+
"eval_runtime": 29.3854,
|
823 |
+
"eval_samples_per_second": 170.493,
|
824 |
+
"eval_steps_per_second": 21.337,
|
825 |
+
"step": 54000
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 2.24,
|
829 |
+
"learning_rate": 1.5271666666666668e-06,
|
830 |
+
"loss": 1.0269,
|
831 |
+
"step": 55000
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 2.24,
|
835 |
+
"eval_accuracy": 0.4878243512974052,
|
836 |
+
"eval_loss": 0.9981361627578735,
|
837 |
+
"eval_runtime": 29.0692,
|
838 |
+
"eval_samples_per_second": 172.347,
|
839 |
+
"eval_steps_per_second": 21.569,
|
840 |
+
"step": 55000
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 2.28,
|
844 |
+
"learning_rate": 1.5549166666666666e-06,
|
845 |
+
"loss": 1.0236,
|
846 |
+
"step": 56000
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 2.28,
|
850 |
+
"eval_accuracy": 0.474251497005988,
|
851 |
+
"eval_loss": 1.0223956108093262,
|
852 |
+
"eval_runtime": 29.0989,
|
853 |
+
"eval_samples_per_second": 172.172,
|
854 |
+
"eval_steps_per_second": 21.547,
|
855 |
+
"step": 56000
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 2.32,
|
859 |
+
"learning_rate": 1.5826944444444446e-06,
|
860 |
+
"loss": 1.022,
|
861 |
+
"step": 57000
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 2.32,
|
865 |
+
"eval_accuracy": 0.48962075848303394,
|
866 |
+
"eval_loss": 0.999485969543457,
|
867 |
+
"eval_runtime": 29.0951,
|
868 |
+
"eval_samples_per_second": 172.194,
|
869 |
+
"eval_steps_per_second": 21.55,
|
870 |
+
"step": 57000
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.36,
|
874 |
+
"learning_rate": 1.6104444444444447e-06,
|
875 |
+
"loss": 1.0259,
|
876 |
+
"step": 58000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 2.36,
|
880 |
+
"eval_accuracy": 0.49161676646706587,
|
881 |
+
"eval_loss": 1.00543212890625,
|
882 |
+
"eval_runtime": 29.0186,
|
883 |
+
"eval_samples_per_second": 172.648,
|
884 |
+
"eval_steps_per_second": 21.607,
|
885 |
+
"step": 58000
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 2.4,
|
889 |
+
"learning_rate": 1.6382222222222222e-06,
|
890 |
+
"loss": 1.0205,
|
891 |
+
"step": 59000
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4,
|
895 |
+
"eval_accuracy": 0.49620758483033933,
|
896 |
+
"eval_loss": 0.9923607110977173,
|
897 |
+
"eval_runtime": 29.1145,
|
898 |
+
"eval_samples_per_second": 172.079,
|
899 |
+
"eval_steps_per_second": 21.536,
|
900 |
+
"step": 59000
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 2.44,
|
904 |
+
"learning_rate": 1.6659722222222223e-06,
|
905 |
+
"loss": 1.0272,
|
906 |
+
"step": 60000
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 2.44,
|
910 |
+
"eval_accuracy": 0.49620758483033933,
|
911 |
+
"eval_loss": 0.9994486570358276,
|
912 |
+
"eval_runtime": 29.0247,
|
913 |
+
"eval_samples_per_second": 172.612,
|
914 |
+
"eval_steps_per_second": 21.602,
|
915 |
+
"step": 60000
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 2.49,
|
919 |
+
"learning_rate": 1.6937500000000003e-06,
|
920 |
+
"loss": 1.023,
|
921 |
+
"step": 61000
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 2.49,
|
925 |
+
"eval_accuracy": 0.49500998003992014,
|
926 |
+
"eval_loss": 0.9992738366127014,
|
927 |
+
"eval_runtime": 29.024,
|
928 |
+
"eval_samples_per_second": 172.616,
|
929 |
+
"eval_steps_per_second": 21.603,
|
930 |
+
"step": 61000
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 2.53,
|
934 |
+
"learning_rate": 1.7215000000000002e-06,
|
935 |
+
"loss": 1.0257,
|
936 |
+
"step": 62000
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 2.53,
|
940 |
+
"eval_accuracy": 0.481437125748503,
|
941 |
+
"eval_loss": 1.0081721544265747,
|
942 |
+
"eval_runtime": 29.125,
|
943 |
+
"eval_samples_per_second": 172.017,
|
944 |
+
"eval_steps_per_second": 21.528,
|
945 |
+
"step": 62000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 2.57,
|
949 |
+
"learning_rate": 1.7492777777777777e-06,
|
950 |
+
"loss": 1.0233,
|
951 |
+
"step": 63000
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 2.57,
|
955 |
+
"eval_accuracy": 0.49660678642714573,
|
956 |
+
"eval_loss": 0.9943819642066956,
|
957 |
+
"eval_runtime": 29.3033,
|
958 |
+
"eval_samples_per_second": 170.97,
|
959 |
+
"eval_steps_per_second": 21.397,
|
960 |
+
"step": 63000
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 2.61,
|
964 |
+
"learning_rate": 1.7770277777777778e-06,
|
965 |
+
"loss": 1.0207,
|
966 |
+
"step": 64000
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 2.61,
|
970 |
+
"eval_accuracy": 0.500998003992016,
|
971 |
+
"eval_loss": 0.9942530989646912,
|
972 |
+
"eval_runtime": 29.3586,
|
973 |
+
"eval_samples_per_second": 170.648,
|
974 |
+
"eval_steps_per_second": 21.357,
|
975 |
+
"step": 64000
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.65,
|
979 |
+
"learning_rate": 1.8048055555555558e-06,
|
980 |
+
"loss": 1.0212,
|
981 |
+
"step": 65000
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 2.65,
|
985 |
+
"eval_accuracy": 0.5,
|
986 |
+
"eval_loss": 0.996075451374054,
|
987 |
+
"eval_runtime": 29.5902,
|
988 |
+
"eval_samples_per_second": 169.313,
|
989 |
+
"eval_steps_per_second": 21.189,
|
990 |
+
"step": 65000
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 2.69,
|
994 |
+
"learning_rate": 1.8325833333333333e-06,
|
995 |
+
"loss": 1.0259,
|
996 |
+
"step": 66000
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.69,
|
1000 |
+
"eval_accuracy": 0.5043912175648703,
|
1001 |
+
"eval_loss": 0.991050124168396,
|
1002 |
+
"eval_runtime": 29.5206,
|
1003 |
+
"eval_samples_per_second": 169.712,
|
1004 |
+
"eval_steps_per_second": 21.239,
|
1005 |
+
"step": 66000
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.73,
|
1009 |
+
"learning_rate": 1.8603333333333334e-06,
|
1010 |
+
"loss": 1.0199,
|
1011 |
+
"step": 67000
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 2.73,
|
1015 |
+
"eval_accuracy": 0.49181636726546907,
|
1016 |
+
"eval_loss": 0.9968613386154175,
|
1017 |
+
"eval_runtime": 29.1614,
|
1018 |
+
"eval_samples_per_second": 171.802,
|
1019 |
+
"eval_steps_per_second": 21.501,
|
1020 |
+
"step": 67000
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 2.77,
|
1024 |
+
"learning_rate": 1.8881111111111114e-06,
|
1025 |
+
"loss": 1.0215,
|
1026 |
+
"step": 68000
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.77,
|
1030 |
+
"eval_accuracy": 0.5023952095808383,
|
1031 |
+
"eval_loss": 0.9903049468994141,
|
1032 |
+
"eval_runtime": 29.1422,
|
1033 |
+
"eval_samples_per_second": 171.916,
|
1034 |
+
"eval_steps_per_second": 21.515,
|
1035 |
+
"step": 68000
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 2.81,
|
1039 |
+
"learning_rate": 1.9158611111111115e-06,
|
1040 |
+
"loss": 1.0189,
|
1041 |
+
"step": 69000
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 2.81,
|
1045 |
+
"eval_accuracy": 0.5083832335329341,
|
1046 |
+
"eval_loss": 0.9923155903816223,
|
1047 |
+
"eval_runtime": 29.1108,
|
1048 |
+
"eval_samples_per_second": 172.101,
|
1049 |
+
"eval_steps_per_second": 21.538,
|
1050 |
+
"step": 69000
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 2.85,
|
1054 |
+
"learning_rate": 1.943638888888889e-06,
|
1055 |
+
"loss": 1.02,
|
1056 |
+
"step": 70000
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 2.85,
|
1060 |
+
"eval_accuracy": 0.4992015968063872,
|
1061 |
+
"eval_loss": 0.99754798412323,
|
1062 |
+
"eval_runtime": 29.0673,
|
1063 |
+
"eval_samples_per_second": 172.359,
|
1064 |
+
"eval_steps_per_second": 21.571,
|
1065 |
+
"step": 70000
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 2.89,
|
1069 |
+
"learning_rate": 1.971388888888889e-06,
|
1070 |
+
"loss": 1.0124,
|
1071 |
+
"step": 71000
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 2.89,
|
1075 |
+
"eval_accuracy": 0.5003992015968064,
|
1076 |
+
"eval_loss": 0.9986121654510498,
|
1077 |
+
"eval_runtime": 29.1291,
|
1078 |
+
"eval_samples_per_second": 171.993,
|
1079 |
+
"eval_steps_per_second": 21.525,
|
1080 |
+
"step": 71000
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.93,
|
1084 |
+
"learning_rate": 1.999166666666667e-06,
|
1085 |
+
"loss": 1.0212,
|
1086 |
+
"step": 72000
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 2.93,
|
1090 |
+
"eval_accuracy": 0.48862275449101794,
|
1091 |
+
"eval_loss": 1.0082526206970215,
|
1092 |
+
"eval_runtime": 29.139,
|
1093 |
+
"eval_samples_per_second": 171.935,
|
1094 |
+
"eval_steps_per_second": 21.518,
|
1095 |
+
"step": 72000
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 2.97,
|
1099 |
+
"learning_rate": 2.0269166666666667e-06,
|
1100 |
+
"loss": 1.019,
|
1101 |
+
"step": 73000
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.97,
|
1105 |
+
"eval_accuracy": 0.5025948103792415,
|
1106 |
+
"eval_loss": 0.9981805682182312,
|
1107 |
+
"eval_runtime": 29.4021,
|
1108 |
+
"eval_samples_per_second": 170.396,
|
1109 |
+
"eval_steps_per_second": 21.325,
|
1110 |
+
"step": 73000
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 3.01,
|
1114 |
+
"learning_rate": 2.0546944444444447e-06,
|
1115 |
+
"loss": 1.0205,
|
1116 |
+
"step": 74000
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 3.01,
|
1120 |
+
"eval_accuracy": 0.49800399201596807,
|
1121 |
+
"eval_loss": 0.9870504140853882,
|
1122 |
+
"eval_runtime": 29.1143,
|
1123 |
+
"eval_samples_per_second": 172.081,
|
1124 |
+
"eval_steps_per_second": 21.536,
|
1125 |
+
"step": 74000
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 3.06,
|
1129 |
+
"learning_rate": 2.0824444444444446e-06,
|
1130 |
+
"loss": 1.0085,
|
1131 |
+
"step": 75000
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 3.06,
|
1135 |
+
"eval_accuracy": 0.5017964071856288,
|
1136 |
+
"eval_loss": 0.9926252961158752,
|
1137 |
+
"eval_runtime": 29.2368,
|
1138 |
+
"eval_samples_per_second": 171.359,
|
1139 |
+
"eval_steps_per_second": 21.446,
|
1140 |
+
"step": 75000
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 3.1,
|
1144 |
+
"learning_rate": 2.1102222222222226e-06,
|
1145 |
+
"loss": 1.0116,
|
1146 |
+
"step": 76000
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 3.1,
|
1150 |
+
"eval_accuracy": 0.5039920159680639,
|
1151 |
+
"eval_loss": 0.9843892455101013,
|
1152 |
+
"eval_runtime": 29.4161,
|
1153 |
+
"eval_samples_per_second": 170.315,
|
1154 |
+
"eval_steps_per_second": 21.315,
|
1155 |
+
"step": 76000
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 3.14,
|
1159 |
+
"learning_rate": 2.1379722222222224e-06,
|
1160 |
+
"loss": 1.0128,
|
1161 |
+
"step": 77000
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 3.14,
|
1165 |
+
"eval_accuracy": 0.4746506986027944,
|
1166 |
+
"eval_loss": 1.0196081399917603,
|
1167 |
+
"eval_runtime": 29.2722,
|
1168 |
+
"eval_samples_per_second": 171.152,
|
1169 |
+
"eval_steps_per_second": 21.42,
|
1170 |
+
"step": 77000
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 3.18,
|
1174 |
+
"learning_rate": 2.16575e-06,
|
1175 |
+
"loss": 1.0051,
|
1176 |
+
"step": 78000
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 3.18,
|
1180 |
+
"eval_accuracy": 0.5039920159680639,
|
1181 |
+
"eval_loss": 0.9861226677894592,
|
1182 |
+
"eval_runtime": 29.0739,
|
1183 |
+
"eval_samples_per_second": 172.32,
|
1184 |
+
"eval_steps_per_second": 21.566,
|
1185 |
+
"step": 78000
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 3.22,
|
1189 |
+
"learning_rate": 2.1935000000000003e-06,
|
1190 |
+
"loss": 1.0106,
|
1191 |
+
"step": 79000
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 3.22,
|
1195 |
+
"eval_accuracy": 0.49241516966067866,
|
1196 |
+
"eval_loss": 1.0106168985366821,
|
1197 |
+
"eval_runtime": 29.2182,
|
1198 |
+
"eval_samples_per_second": 171.469,
|
1199 |
+
"eval_steps_per_second": 21.459,
|
1200 |
+
"step": 79000
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 3.26,
|
1204 |
+
"learning_rate": 2.221277777777778e-06,
|
1205 |
+
"loss": 1.0086,
|
1206 |
+
"step": 80000
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 3.26,
|
1210 |
+
"eval_accuracy": 0.4942115768463074,
|
1211 |
+
"eval_loss": 1.0031169652938843,
|
1212 |
+
"eval_runtime": 29.1384,
|
1213 |
+
"eval_samples_per_second": 171.938,
|
1214 |
+
"eval_steps_per_second": 21.518,
|
1215 |
+
"step": 80000
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 3.3,
|
1219 |
+
"learning_rate": 2.249027777777778e-06,
|
1220 |
+
"loss": 1.0097,
|
1221 |
+
"step": 81000
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 3.3,
|
1225 |
+
"eval_accuracy": 0.4932135728542914,
|
1226 |
+
"eval_loss": 0.9960971474647522,
|
1227 |
+
"eval_runtime": 29.1317,
|
1228 |
+
"eval_samples_per_second": 171.977,
|
1229 |
+
"eval_steps_per_second": 21.523,
|
1230 |
+
"step": 81000
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 3.34,
|
1234 |
+
"learning_rate": 2.2768055555555557e-06,
|
1235 |
+
"loss": 1.0192,
|
1236 |
+
"step": 82000
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 3.34,
|
1240 |
+
"eval_accuracy": 0.49620758483033933,
|
1241 |
+
"eval_loss": 0.9951682686805725,
|
1242 |
+
"eval_runtime": 29.1358,
|
1243 |
+
"eval_samples_per_second": 171.954,
|
1244 |
+
"eval_steps_per_second": 21.52,
|
1245 |
+
"step": 82000
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 3.38,
|
1249 |
+
"learning_rate": 2.3045555555555555e-06,
|
1250 |
+
"loss": 1.006,
|
1251 |
+
"step": 83000
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 3.38,
|
1255 |
+
"eval_accuracy": 0.49840319361277446,
|
1256 |
+
"eval_loss": 0.9937891960144043,
|
1257 |
+
"eval_runtime": 29.1682,
|
1258 |
+
"eval_samples_per_second": 171.762,
|
1259 |
+
"eval_steps_per_second": 21.496,
|
1260 |
+
"step": 83000
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 3.42,
|
1264 |
+
"learning_rate": 2.3323333333333335e-06,
|
1265 |
+
"loss": 1.0118,
|
1266 |
+
"step": 84000
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 3.42,
|
1270 |
+
"eval_accuracy": 0.5007984031936128,
|
1271 |
+
"eval_loss": 0.9840214252471924,
|
1272 |
+
"eval_runtime": 29.1175,
|
1273 |
+
"eval_samples_per_second": 172.061,
|
1274 |
+
"eval_steps_per_second": 21.533,
|
1275 |
+
"step": 84000
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 3.46,
|
1279 |
+
"learning_rate": 2.360083333333334e-06,
|
1280 |
+
"loss": 1.006,
|
1281 |
+
"step": 85000
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 3.46,
|
1285 |
+
"eval_accuracy": 0.49620758483033933,
|
1286 |
+
"eval_loss": 0.9880582690238953,
|
1287 |
+
"eval_runtime": 29.1304,
|
1288 |
+
"eval_samples_per_second": 171.985,
|
1289 |
+
"eval_steps_per_second": 21.524,
|
1290 |
+
"step": 85000
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 3.5,
|
1294 |
+
"learning_rate": 2.3878611111111113e-06,
|
1295 |
+
"loss": 1.0151,
|
1296 |
+
"step": 86000
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 3.5,
|
1300 |
+
"eval_accuracy": 0.5053892215568863,
|
1301 |
+
"eval_loss": 0.9828479886054993,
|
1302 |
+
"eval_runtime": 29.1321,
|
1303 |
+
"eval_samples_per_second": 171.975,
|
1304 |
+
"eval_steps_per_second": 21.523,
|
1305 |
+
"step": 86000
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 3.54,
|
1309 |
+
"learning_rate": 2.4156388888888893e-06,
|
1310 |
+
"loss": 1.0028,
|
1311 |
+
"step": 87000
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 3.54,
|
1315 |
+
"eval_accuracy": 0.5073852295409181,
|
1316 |
+
"eval_loss": 0.9821121692657471,
|
1317 |
+
"eval_runtime": 29.1459,
|
1318 |
+
"eval_samples_per_second": 171.894,
|
1319 |
+
"eval_steps_per_second": 21.512,
|
1320 |
+
"step": 87000
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 3.59,
|
1324 |
+
"learning_rate": 2.443388888888889e-06,
|
1325 |
+
"loss": 1.0092,
|
1326 |
+
"step": 88000
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 3.59,
|
1330 |
+
"eval_accuracy": 0.5105788423153692,
|
1331 |
+
"eval_loss": 0.9791818857192993,
|
1332 |
+
"eval_runtime": 29.1206,
|
1333 |
+
"eval_samples_per_second": 172.043,
|
1334 |
+
"eval_steps_per_second": 21.531,
|
1335 |
+
"step": 88000
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 3.63,
|
1339 |
+
"learning_rate": 2.4711666666666668e-06,
|
1340 |
+
"loss": 1.0024,
|
1341 |
+
"step": 89000
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 3.63,
|
1345 |
+
"eval_accuracy": 0.4940119760479042,
|
1346 |
+
"eval_loss": 0.986344039440155,
|
1347 |
+
"eval_runtime": 29.1948,
|
1348 |
+
"eval_samples_per_second": 171.606,
|
1349 |
+
"eval_steps_per_second": 21.476,
|
1350 |
+
"step": 89000
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 3.67,
|
1354 |
+
"learning_rate": 2.4989166666666666e-06,
|
1355 |
+
"loss": 1.0112,
|
1356 |
+
"step": 90000
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 3.67,
|
1360 |
+
"eval_accuracy": 0.5101796407185629,
|
1361 |
+
"eval_loss": 0.9789302349090576,
|
1362 |
+
"eval_runtime": 29.2661,
|
1363 |
+
"eval_samples_per_second": 171.188,
|
1364 |
+
"eval_steps_per_second": 21.424,
|
1365 |
+
"step": 90000
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 3.71,
|
1369 |
+
"learning_rate": 2.5266944444444446e-06,
|
1370 |
+
"loss": 1.0137,
|
1371 |
+
"step": 91000
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 3.71,
|
1375 |
+
"eval_accuracy": 0.4936127744510978,
|
1376 |
+
"eval_loss": 0.9870284795761108,
|
1377 |
+
"eval_runtime": 29.4012,
|
1378 |
+
"eval_samples_per_second": 170.401,
|
1379 |
+
"eval_steps_per_second": 21.326,
|
1380 |
+
"step": 91000
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 3.75,
|
1384 |
+
"learning_rate": 2.554444444444445e-06,
|
1385 |
+
"loss": 1.0076,
|
1386 |
+
"step": 92000
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 3.75,
|
1390 |
+
"eval_accuracy": 0.49880239520958086,
|
1391 |
+
"eval_loss": 0.9906250238418579,
|
1392 |
+
"eval_runtime": 29.2222,
|
1393 |
+
"eval_samples_per_second": 171.445,
|
1394 |
+
"eval_steps_per_second": 21.456,
|
1395 |
+
"step": 92000
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.79,
|
1399 |
+
"learning_rate": 2.5822222222222224e-06,
|
1400 |
+
"loss": 1.0093,
|
1401 |
+
"step": 93000
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 3.79,
|
1405 |
+
"eval_accuracy": 0.5121756487025948,
|
1406 |
+
"eval_loss": 0.9766275882720947,
|
1407 |
+
"eval_runtime": 29.2374,
|
1408 |
+
"eval_samples_per_second": 171.356,
|
1409 |
+
"eval_steps_per_second": 21.445,
|
1410 |
+
"step": 93000
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 3.83,
|
1414 |
+
"learning_rate": 2.6099722222222223e-06,
|
1415 |
+
"loss": 1.0015,
|
1416 |
+
"step": 94000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.83,
|
1420 |
+
"eval_accuracy": 0.4942115768463074,
|
1421 |
+
"eval_loss": 0.991917073726654,
|
1422 |
+
"eval_runtime": 29.3042,
|
1423 |
+
"eval_samples_per_second": 170.965,
|
1424 |
+
"eval_steps_per_second": 21.396,
|
1425 |
+
"step": 94000
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 3.87,
|
1429 |
+
"learning_rate": 2.6377500000000003e-06,
|
1430 |
+
"loss": 1.0066,
|
1431 |
+
"step": 95000
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 3.87,
|
1435 |
+
"eval_accuracy": 0.5101796407185629,
|
1436 |
+
"eval_loss": 0.9762089252471924,
|
1437 |
+
"eval_runtime": 29.2686,
|
1438 |
+
"eval_samples_per_second": 171.173,
|
1439 |
+
"eval_steps_per_second": 21.422,
|
1440 |
+
"step": 95000
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 3.91,
|
1444 |
+
"learning_rate": 2.6655e-06,
|
1445 |
+
"loss": 1.0033,
|
1446 |
+
"step": 96000
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 3.91,
|
1450 |
+
"eval_accuracy": 0.5071856287425149,
|
1451 |
+
"eval_loss": 0.9739634990692139,
|
1452 |
+
"eval_runtime": 29.2989,
|
1453 |
+
"eval_samples_per_second": 170.996,
|
1454 |
+
"eval_steps_per_second": 21.4,
|
1455 |
+
"step": 96000
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 3.95,
|
1459 |
+
"learning_rate": 2.6932777777777777e-06,
|
1460 |
+
"loss": 1.0054,
|
1461 |
+
"step": 97000
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 3.95,
|
1465 |
+
"eval_accuracy": 0.5033932135728543,
|
1466 |
+
"eval_loss": 0.9856627583503723,
|
1467 |
+
"eval_runtime": 29.2684,
|
1468 |
+
"eval_samples_per_second": 171.174,
|
1469 |
+
"eval_steps_per_second": 21.422,
|
1470 |
+
"step": 97000
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 3.99,
|
1474 |
+
"learning_rate": 2.721027777777778e-06,
|
1475 |
+
"loss": 1.0034,
|
1476 |
+
"step": 98000
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 3.99,
|
1480 |
+
"eval_accuracy": 0.5055888223552895,
|
1481 |
+
"eval_loss": 0.9802790880203247,
|
1482 |
+
"eval_runtime": 29.2896,
|
1483 |
+
"eval_samples_per_second": 171.051,
|
1484 |
+
"eval_steps_per_second": 21.407,
|
1485 |
+
"step": 98000
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 4.03,
|
1489 |
+
"learning_rate": 2.748805555555556e-06,
|
1490 |
+
"loss": 1.0003,
|
1491 |
+
"step": 99000
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 4.03,
|
1495 |
+
"eval_accuracy": 0.5183632734530939,
|
1496 |
+
"eval_loss": 0.9739055037498474,
|
1497 |
+
"eval_runtime": 29.3152,
|
1498 |
+
"eval_samples_per_second": 170.901,
|
1499 |
+
"eval_steps_per_second": 21.388,
|
1500 |
+
"step": 99000
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 4.07,
|
1504 |
+
"learning_rate": 2.776555555555556e-06,
|
1505 |
+
"loss": 0.9978,
|
1506 |
+
"step": 100000
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 4.07,
|
1510 |
+
"eval_accuracy": 0.5153692614770459,
|
1511 |
+
"eval_loss": 0.9735556244850159,
|
1512 |
+
"eval_runtime": 29.6841,
|
1513 |
+
"eval_samples_per_second": 168.777,
|
1514 |
+
"eval_steps_per_second": 21.122,
|
1515 |
+
"step": 100000
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 4.12,
|
1519 |
+
"learning_rate": 2.8043333333333334e-06,
|
1520 |
+
"loss": 1.0012,
|
1521 |
+
"step": 101000
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 4.12,
|
1525 |
+
"eval_accuracy": 0.5115768463073852,
|
1526 |
+
"eval_loss": 0.9762488603591919,
|
1527 |
+
"eval_runtime": 29.3408,
|
1528 |
+
"eval_samples_per_second": 170.752,
|
1529 |
+
"eval_steps_per_second": 21.37,
|
1530 |
+
"step": 101000
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 4.16,
|
1534 |
+
"learning_rate": 2.8320833333333333e-06,
|
1535 |
+
"loss": 0.9995,
|
1536 |
+
"step": 102000
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 4.16,
|
1540 |
+
"eval_accuracy": 0.492814371257485,
|
1541 |
+
"eval_loss": 0.986444890499115,
|
1542 |
+
"eval_runtime": 29.2787,
|
1543 |
+
"eval_samples_per_second": 171.114,
|
1544 |
+
"eval_steps_per_second": 21.415,
|
1545 |
+
"step": 102000
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 4.2,
|
1549 |
+
"learning_rate": 2.8598611111111112e-06,
|
1550 |
+
"loss": 1.0034,
|
1551 |
+
"step": 103000
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 4.2,
|
1555 |
+
"eval_accuracy": 0.5181636726546907,
|
1556 |
+
"eval_loss": 0.9686606526374817,
|
1557 |
+
"eval_runtime": 29.3082,
|
1558 |
+
"eval_samples_per_second": 170.942,
|
1559 |
+
"eval_steps_per_second": 21.393,
|
1560 |
+
"step": 103000
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 4.24,
|
1564 |
+
"learning_rate": 2.8876111111111115e-06,
|
1565 |
+
"loss": 0.9966,
|
1566 |
+
"step": 104000
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 4.24,
|
1570 |
+
"eval_accuracy": 0.49540918163672654,
|
1571 |
+
"eval_loss": 0.9904249906539917,
|
1572 |
+
"eval_runtime": 29.3774,
|
1573 |
+
"eval_samples_per_second": 170.539,
|
1574 |
+
"eval_steps_per_second": 21.343,
|
1575 |
+
"step": 104000
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 4.28,
|
1579 |
+
"learning_rate": 2.915388888888889e-06,
|
1580 |
+
"loss": 0.993,
|
1581 |
+
"step": 105000
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 4.28,
|
1585 |
+
"eval_accuracy": 0.48522954091816367,
|
1586 |
+
"eval_loss": 1.0059425830841064,
|
1587 |
+
"eval_runtime": 29.3509,
|
1588 |
+
"eval_samples_per_second": 170.693,
|
1589 |
+
"eval_steps_per_second": 21.362,
|
1590 |
+
"step": 105000
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 4.32,
|
1594 |
+
"learning_rate": 2.943138888888889e-06,
|
1595 |
+
"loss": 0.9887,
|
1596 |
+
"step": 106000
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 4.32,
|
1600 |
+
"eval_accuracy": 0.5167664670658683,
|
1601 |
+
"eval_loss": 0.9730390906333923,
|
1602 |
+
"eval_runtime": 29.3622,
|
1603 |
+
"eval_samples_per_second": 170.628,
|
1604 |
+
"eval_steps_per_second": 21.354,
|
1605 |
+
"step": 106000
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 4.36,
|
1609 |
+
"learning_rate": 2.9709166666666665e-06,
|
1610 |
+
"loss": 0.99,
|
1611 |
+
"step": 107000
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 4.36,
|
1615 |
+
"eval_accuracy": 0.5067864271457085,
|
1616 |
+
"eval_loss": 0.9823795557022095,
|
1617 |
+
"eval_runtime": 29.6253,
|
1618 |
+
"eval_samples_per_second": 169.112,
|
1619 |
+
"eval_steps_per_second": 21.164,
|
1620 |
+
"step": 107000
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 4.4,
|
1624 |
+
"learning_rate": 2.9986666666666668e-06,
|
1625 |
+
"loss": 0.9892,
|
1626 |
+
"step": 108000
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 4.4,
|
1630 |
+
"eval_accuracy": 0.5063872255489021,
|
1631 |
+
"eval_loss": 0.9779866337776184,
|
1632 |
+
"eval_runtime": 29.3617,
|
1633 |
+
"eval_samples_per_second": 170.63,
|
1634 |
+
"eval_steps_per_second": 21.354,
|
1635 |
+
"step": 108000
|
1636 |
+
}
|
1637 |
+
],
|
1638 |
+
"logging_steps": 1000,
|
1639 |
+
"max_steps": 10000000,
|
1640 |
+
"num_train_epochs": 408,
|
1641 |
+
"save_steps": 1000,
|
1642 |
+
"total_flos": 1.1288171208454963e+17,
|
1643 |
+
"trial_name": null,
|
1644 |
+
"trial_params": null
|
1645 |
+
}
|
checkpoint-108000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:35131e4915b0e8d5c12cfe76344eb3f82740d8fb21233ad6a425c6f5e63a567e
|
3 |
+
size 4027
|
checkpoint-108000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|