Training in progress, step 142000, checkpoint
Browse files- checkpoint-142000/added_tokens.json +5 -0
- checkpoint-142000/config.json +46 -0
- checkpoint-142000/merges.txt +0 -0
- checkpoint-142000/optimizer.pt +3 -0
- checkpoint-142000/pytorch_model.bin +3 -0
- checkpoint-142000/rng_state.pth +3 -0
- checkpoint-142000/scheduler.pt +3 -0
- checkpoint-142000/special_tokens_map.json +6 -0
- checkpoint-142000/tokenizer_config.json +7 -0
- checkpoint-142000/trainer_state.json +2155 -0
- checkpoint-142000/training_args.bin +3 -0
- checkpoint-142000/vocab.json +0 -0
checkpoint-142000/added_tokens.json
ADDED
@@ -0,0 +1,5 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"<bos>": 40478,
|
3 |
+
"<eos>": 40479,
|
4 |
+
"<pad>": 40480
|
5 |
+
}
|
checkpoint-142000/config.json
ADDED
@@ -0,0 +1,46 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "openai-gpt",
|
3 |
+
"afn": "gelu",
|
4 |
+
"architectures": [
|
5 |
+
"OpenAIGPTForSequenceClassification"
|
6 |
+
],
|
7 |
+
"attn_pdrop": 0.1,
|
8 |
+
"embd_pdrop": 0.1,
|
9 |
+
"id2label": {
|
10 |
+
"0": "entailment",
|
11 |
+
"1": "neutral",
|
12 |
+
"2": "contradiction"
|
13 |
+
},
|
14 |
+
"initializer_range": 0.02,
|
15 |
+
"label2id": {
|
16 |
+
"contradiction": 2,
|
17 |
+
"entailment": 0,
|
18 |
+
"neutral": 1
|
19 |
+
},
|
20 |
+
"layer_norm_epsilon": 1e-05,
|
21 |
+
"model_type": "openai-gpt",
|
22 |
+
"n_ctx": 512,
|
23 |
+
"n_embd": 768,
|
24 |
+
"n_head": 12,
|
25 |
+
"n_layer": 2,
|
26 |
+
"n_positions": 512,
|
27 |
+
"n_special": 0,
|
28 |
+
"pad_token_id": 40480,
|
29 |
+
"predict_special_tokens": true,
|
30 |
+
"problem_type": "single_label_classification",
|
31 |
+
"resid_pdrop": 0.1,
|
32 |
+
"summary_activation": null,
|
33 |
+
"summary_first_dropout": 0.1,
|
34 |
+
"summary_proj_to_labels": true,
|
35 |
+
"summary_type": "last",
|
36 |
+
"summary_use_proj": true,
|
37 |
+
"task_specific_params": {
|
38 |
+
"text-generation": {
|
39 |
+
"do_sample": true,
|
40 |
+
"max_length": 50
|
41 |
+
}
|
42 |
+
},
|
43 |
+
"torch_dtype": "float32",
|
44 |
+
"transformers_version": "4.33.0.dev0",
|
45 |
+
"vocab_size": 40481
|
46 |
+
}
|
checkpoint-142000/merges.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
checkpoint-142000/optimizer.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:242dcbee5ef6e171c687bf939374e2e5abb855e0c3fac58d90475fdf9147dcdb
|
3 |
+
size 365301299
|
checkpoint-142000/pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:b7bfdea361a9d2b867a49fd43094cf8ebe69db0e8679ee2e12c88201b24b54bb
|
3 |
+
size 182651202
|
checkpoint-142000/rng_state.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:107ab781932dc7e9321859812a25ff5de5fe2d6ddd36714fc0d5e33a005cfe7d
|
3 |
+
size 14575
|
checkpoint-142000/scheduler.pt
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:58eb4bdf4a73c041ccbc661693b46faba7517a443f01fa387a1fb674101da4bf
|
3 |
+
size 627
|
checkpoint-142000/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-142000/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-142000/trainer_state.json
ADDED
@@ -0,0 +1,2155 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": 0.9777482151985168,
|
3 |
+
"best_model_checkpoint": "/kaggle/output/checkpoint-131000",
|
4 |
+
"epoch": 5.7855280312907436,
|
5 |
+
"eval_steps": 1000,
|
6 |
+
"global_step": 142000,
|
7 |
+
"is_hyper_param_search": false,
|
8 |
+
"is_local_process_zero": true,
|
9 |
+
"is_world_process_zero": true,
|
10 |
+
"log_history": [
|
11 |
+
{
|
12 |
+
"epoch": 0.0,
|
13 |
+
"learning_rate": 2.7777777777777777e-11,
|
14 |
+
"loss": 1.1078,
|
15 |
+
"step": 1
|
16 |
+
},
|
17 |
+
{
|
18 |
+
"epoch": 0.04,
|
19 |
+
"learning_rate": 2.7750000000000004e-08,
|
20 |
+
"loss": 1.128,
|
21 |
+
"step": 1000
|
22 |
+
},
|
23 |
+
{
|
24 |
+
"epoch": 0.04,
|
25 |
+
"eval_accuracy": 0.330938123752495,
|
26 |
+
"eval_loss": 1.1083118915557861,
|
27 |
+
"eval_runtime": 12.3979,
|
28 |
+
"eval_samples_per_second": 404.1,
|
29 |
+
"eval_steps_per_second": 50.573,
|
30 |
+
"step": 1000
|
31 |
+
},
|
32 |
+
{
|
33 |
+
"epoch": 0.08,
|
34 |
+
"learning_rate": 5.5527777777777784e-08,
|
35 |
+
"loss": 1.1164,
|
36 |
+
"step": 2000
|
37 |
+
},
|
38 |
+
{
|
39 |
+
"epoch": 0.08,
|
40 |
+
"eval_accuracy": 0.3323353293413174,
|
41 |
+
"eval_loss": 1.102672815322876,
|
42 |
+
"eval_runtime": 12.2861,
|
43 |
+
"eval_samples_per_second": 407.778,
|
44 |
+
"eval_steps_per_second": 51.033,
|
45 |
+
"step": 2000
|
46 |
+
},
|
47 |
+
{
|
48 |
+
"epoch": 0.12,
|
49 |
+
"learning_rate": 8.327777777777778e-08,
|
50 |
+
"loss": 1.1158,
|
51 |
+
"step": 3000
|
52 |
+
},
|
53 |
+
{
|
54 |
+
"epoch": 0.12,
|
55 |
+
"eval_accuracy": 0.34211576846307384,
|
56 |
+
"eval_loss": 1.1024774312973022,
|
57 |
+
"eval_runtime": 12.3746,
|
58 |
+
"eval_samples_per_second": 404.863,
|
59 |
+
"eval_steps_per_second": 50.668,
|
60 |
+
"step": 3000
|
61 |
+
},
|
62 |
+
{
|
63 |
+
"epoch": 0.16,
|
64 |
+
"learning_rate": 1.1105555555555557e-07,
|
65 |
+
"loss": 1.1115,
|
66 |
+
"step": 4000
|
67 |
+
},
|
68 |
+
{
|
69 |
+
"epoch": 0.16,
|
70 |
+
"eval_accuracy": 0.34890219560878244,
|
71 |
+
"eval_loss": 1.1012382507324219,
|
72 |
+
"eval_runtime": 12.5405,
|
73 |
+
"eval_samples_per_second": 399.505,
|
74 |
+
"eval_steps_per_second": 49.998,
|
75 |
+
"step": 4000
|
76 |
+
},
|
77 |
+
{
|
78 |
+
"epoch": 0.2,
|
79 |
+
"learning_rate": 1.3880555555555558e-07,
|
80 |
+
"loss": 1.1141,
|
81 |
+
"step": 5000
|
82 |
+
},
|
83 |
+
{
|
84 |
+
"epoch": 0.2,
|
85 |
+
"eval_accuracy": 0.3534930139720559,
|
86 |
+
"eval_loss": 1.1002192497253418,
|
87 |
+
"eval_runtime": 12.3001,
|
88 |
+
"eval_samples_per_second": 407.314,
|
89 |
+
"eval_steps_per_second": 50.975,
|
90 |
+
"step": 5000
|
91 |
+
},
|
92 |
+
{
|
93 |
+
"epoch": 0.24,
|
94 |
+
"learning_rate": 1.6658333333333335e-07,
|
95 |
+
"loss": 1.112,
|
96 |
+
"step": 6000
|
97 |
+
},
|
98 |
+
{
|
99 |
+
"epoch": 0.24,
|
100 |
+
"eval_accuracy": 0.3524950099800399,
|
101 |
+
"eval_loss": 1.100056767463684,
|
102 |
+
"eval_runtime": 12.4062,
|
103 |
+
"eval_samples_per_second": 403.831,
|
104 |
+
"eval_steps_per_second": 50.539,
|
105 |
+
"step": 6000
|
106 |
+
},
|
107 |
+
{
|
108 |
+
"epoch": 0.29,
|
109 |
+
"learning_rate": 1.9433333333333334e-07,
|
110 |
+
"loss": 1.1115,
|
111 |
+
"step": 7000
|
112 |
+
},
|
113 |
+
{
|
114 |
+
"epoch": 0.29,
|
115 |
+
"eval_accuracy": 0.34331337325349304,
|
116 |
+
"eval_loss": 1.098986029624939,
|
117 |
+
"eval_runtime": 12.4456,
|
118 |
+
"eval_samples_per_second": 402.551,
|
119 |
+
"eval_steps_per_second": 50.379,
|
120 |
+
"step": 7000
|
121 |
+
},
|
122 |
+
{
|
123 |
+
"epoch": 0.33,
|
124 |
+
"learning_rate": 2.2211111111111114e-07,
|
125 |
+
"loss": 1.109,
|
126 |
+
"step": 8000
|
127 |
+
},
|
128 |
+
{
|
129 |
+
"epoch": 0.33,
|
130 |
+
"eval_accuracy": 0.3347305389221557,
|
131 |
+
"eval_loss": 1.098678469657898,
|
132 |
+
"eval_runtime": 12.5978,
|
133 |
+
"eval_samples_per_second": 397.688,
|
134 |
+
"eval_steps_per_second": 49.771,
|
135 |
+
"step": 8000
|
136 |
+
},
|
137 |
+
{
|
138 |
+
"epoch": 0.37,
|
139 |
+
"learning_rate": 2.4986111111111113e-07,
|
140 |
+
"loss": 1.1117,
|
141 |
+
"step": 9000
|
142 |
+
},
|
143 |
+
{
|
144 |
+
"epoch": 0.37,
|
145 |
+
"eval_accuracy": 0.34311377245508984,
|
146 |
+
"eval_loss": 1.0984419584274292,
|
147 |
+
"eval_runtime": 12.313,
|
148 |
+
"eval_samples_per_second": 406.886,
|
149 |
+
"eval_steps_per_second": 50.922,
|
150 |
+
"step": 9000
|
151 |
+
},
|
152 |
+
{
|
153 |
+
"epoch": 0.41,
|
154 |
+
"learning_rate": 2.776388888888889e-07,
|
155 |
+
"loss": 1.1081,
|
156 |
+
"step": 10000
|
157 |
+
},
|
158 |
+
{
|
159 |
+
"epoch": 0.41,
|
160 |
+
"eval_accuracy": 0.35429141716566864,
|
161 |
+
"eval_loss": 1.0968743562698364,
|
162 |
+
"eval_runtime": 12.4088,
|
163 |
+
"eval_samples_per_second": 403.744,
|
164 |
+
"eval_steps_per_second": 50.528,
|
165 |
+
"step": 10000
|
166 |
+
},
|
167 |
+
{
|
168 |
+
"epoch": 0.45,
|
169 |
+
"learning_rate": 3.053888888888889e-07,
|
170 |
+
"loss": 1.107,
|
171 |
+
"step": 11000
|
172 |
+
},
|
173 |
+
{
|
174 |
+
"epoch": 0.45,
|
175 |
+
"eval_accuracy": 0.3722554890219561,
|
176 |
+
"eval_loss": 1.0950665473937988,
|
177 |
+
"eval_runtime": 12.5775,
|
178 |
+
"eval_samples_per_second": 398.33,
|
179 |
+
"eval_steps_per_second": 49.851,
|
180 |
+
"step": 11000
|
181 |
+
},
|
182 |
+
{
|
183 |
+
"epoch": 0.49,
|
184 |
+
"learning_rate": 3.331666666666667e-07,
|
185 |
+
"loss": 1.1057,
|
186 |
+
"step": 12000
|
187 |
+
},
|
188 |
+
{
|
189 |
+
"epoch": 0.49,
|
190 |
+
"eval_accuracy": 0.37544910179640717,
|
191 |
+
"eval_loss": 1.0940738916397095,
|
192 |
+
"eval_runtime": 12.5186,
|
193 |
+
"eval_samples_per_second": 400.203,
|
194 |
+
"eval_steps_per_second": 50.085,
|
195 |
+
"step": 12000
|
196 |
+
},
|
197 |
+
{
|
198 |
+
"epoch": 0.53,
|
199 |
+
"learning_rate": 3.609166666666667e-07,
|
200 |
+
"loss": 1.1069,
|
201 |
+
"step": 13000
|
202 |
+
},
|
203 |
+
{
|
204 |
+
"epoch": 0.53,
|
205 |
+
"eval_accuracy": 0.3401197604790419,
|
206 |
+
"eval_loss": 1.0937162637710571,
|
207 |
+
"eval_runtime": 12.2594,
|
208 |
+
"eval_samples_per_second": 408.666,
|
209 |
+
"eval_steps_per_second": 51.144,
|
210 |
+
"step": 13000
|
211 |
+
},
|
212 |
+
{
|
213 |
+
"epoch": 0.57,
|
214 |
+
"learning_rate": 3.886944444444445e-07,
|
215 |
+
"loss": 1.1046,
|
216 |
+
"step": 14000
|
217 |
+
},
|
218 |
+
{
|
219 |
+
"epoch": 0.57,
|
220 |
+
"eval_accuracy": 0.37604790419161677,
|
221 |
+
"eval_loss": 1.0926916599273682,
|
222 |
+
"eval_runtime": 12.256,
|
223 |
+
"eval_samples_per_second": 408.78,
|
224 |
+
"eval_steps_per_second": 51.159,
|
225 |
+
"step": 14000
|
226 |
+
},
|
227 |
+
{
|
228 |
+
"epoch": 0.61,
|
229 |
+
"learning_rate": 4.164444444444445e-07,
|
230 |
+
"loss": 1.1046,
|
231 |
+
"step": 15000
|
232 |
+
},
|
233 |
+
{
|
234 |
+
"epoch": 0.61,
|
235 |
+
"eval_accuracy": 0.39201596806387223,
|
236 |
+
"eval_loss": 1.0912976264953613,
|
237 |
+
"eval_runtime": 12.5019,
|
238 |
+
"eval_samples_per_second": 400.74,
|
239 |
+
"eval_steps_per_second": 50.152,
|
240 |
+
"step": 15000
|
241 |
+
},
|
242 |
+
{
|
243 |
+
"epoch": 0.65,
|
244 |
+
"learning_rate": 4.442222222222223e-07,
|
245 |
+
"loss": 1.1052,
|
246 |
+
"step": 16000
|
247 |
+
},
|
248 |
+
{
|
249 |
+
"epoch": 0.65,
|
250 |
+
"eval_accuracy": 0.393812375249501,
|
251 |
+
"eval_loss": 1.0901482105255127,
|
252 |
+
"eval_runtime": 12.3407,
|
253 |
+
"eval_samples_per_second": 405.973,
|
254 |
+
"eval_steps_per_second": 50.807,
|
255 |
+
"step": 16000
|
256 |
+
},
|
257 |
+
{
|
258 |
+
"epoch": 0.69,
|
259 |
+
"learning_rate": 4.7197222222222224e-07,
|
260 |
+
"loss": 1.1011,
|
261 |
+
"step": 17000
|
262 |
+
},
|
263 |
+
{
|
264 |
+
"epoch": 0.69,
|
265 |
+
"eval_accuracy": 0.3932135728542914,
|
266 |
+
"eval_loss": 1.0901678800582886,
|
267 |
+
"eval_runtime": 12.3644,
|
268 |
+
"eval_samples_per_second": 405.197,
|
269 |
+
"eval_steps_per_second": 50.71,
|
270 |
+
"step": 17000
|
271 |
+
},
|
272 |
+
{
|
273 |
+
"epoch": 0.73,
|
274 |
+
"learning_rate": 4.997500000000001e-07,
|
275 |
+
"loss": 1.1,
|
276 |
+
"step": 18000
|
277 |
+
},
|
278 |
+
{
|
279 |
+
"epoch": 0.73,
|
280 |
+
"eval_accuracy": 0.38143712574850297,
|
281 |
+
"eval_loss": 1.0897998809814453,
|
282 |
+
"eval_runtime": 12.3516,
|
283 |
+
"eval_samples_per_second": 405.615,
|
284 |
+
"eval_steps_per_second": 50.763,
|
285 |
+
"step": 18000
|
286 |
+
},
|
287 |
+
{
|
288 |
+
"epoch": 0.77,
|
289 |
+
"learning_rate": 5.275277777777778e-07,
|
290 |
+
"loss": 1.1007,
|
291 |
+
"step": 19000
|
292 |
+
},
|
293 |
+
{
|
294 |
+
"epoch": 0.77,
|
295 |
+
"eval_accuracy": 0.40678642714570856,
|
296 |
+
"eval_loss": 1.0876121520996094,
|
297 |
+
"eval_runtime": 12.6608,
|
298 |
+
"eval_samples_per_second": 395.708,
|
299 |
+
"eval_steps_per_second": 49.523,
|
300 |
+
"step": 19000
|
301 |
+
},
|
302 |
+
{
|
303 |
+
"epoch": 0.81,
|
304 |
+
"learning_rate": 5.552777777777778e-07,
|
305 |
+
"loss": 1.1013,
|
306 |
+
"step": 20000
|
307 |
+
},
|
308 |
+
{
|
309 |
+
"epoch": 0.81,
|
310 |
+
"eval_accuracy": 0.4053892215568862,
|
311 |
+
"eval_loss": 1.0876350402832031,
|
312 |
+
"eval_runtime": 12.3243,
|
313 |
+
"eval_samples_per_second": 406.513,
|
314 |
+
"eval_steps_per_second": 50.875,
|
315 |
+
"step": 20000
|
316 |
+
},
|
317 |
+
{
|
318 |
+
"epoch": 0.86,
|
319 |
+
"learning_rate": 5.830555555555556e-07,
|
320 |
+
"loss": 1.0987,
|
321 |
+
"step": 21000
|
322 |
+
},
|
323 |
+
{
|
324 |
+
"epoch": 0.86,
|
325 |
+
"eval_accuracy": 0.40858283433133735,
|
326 |
+
"eval_loss": 1.085940957069397,
|
327 |
+
"eval_runtime": 12.3217,
|
328 |
+
"eval_samples_per_second": 406.598,
|
329 |
+
"eval_steps_per_second": 50.886,
|
330 |
+
"step": 21000
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 0.9,
|
334 |
+
"learning_rate": 6.108055555555556e-07,
|
335 |
+
"loss": 1.0986,
|
336 |
+
"step": 22000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 0.9,
|
340 |
+
"eval_accuracy": 0.3972055888223553,
|
341 |
+
"eval_loss": 1.085978388786316,
|
342 |
+
"eval_runtime": 12.4285,
|
343 |
+
"eval_samples_per_second": 403.107,
|
344 |
+
"eval_steps_per_second": 50.449,
|
345 |
+
"step": 22000
|
346 |
+
},
|
347 |
+
{
|
348 |
+
"epoch": 0.94,
|
349 |
+
"learning_rate": 6.385833333333334e-07,
|
350 |
+
"loss": 1.0944,
|
351 |
+
"step": 23000
|
352 |
+
},
|
353 |
+
{
|
354 |
+
"epoch": 0.94,
|
355 |
+
"eval_accuracy": 0.41097804391217563,
|
356 |
+
"eval_loss": 1.0837496519088745,
|
357 |
+
"eval_runtime": 12.7175,
|
358 |
+
"eval_samples_per_second": 393.946,
|
359 |
+
"eval_steps_per_second": 49.302,
|
360 |
+
"step": 23000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 0.98,
|
364 |
+
"learning_rate": 6.663611111111112e-07,
|
365 |
+
"loss": 1.095,
|
366 |
+
"step": 24000
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 0.98,
|
370 |
+
"eval_accuracy": 0.4121756487025948,
|
371 |
+
"eval_loss": 1.0820704698562622,
|
372 |
+
"eval_runtime": 12.3323,
|
373 |
+
"eval_samples_per_second": 406.251,
|
374 |
+
"eval_steps_per_second": 50.842,
|
375 |
+
"step": 24000
|
376 |
+
},
|
377 |
+
{
|
378 |
+
"epoch": 1.02,
|
379 |
+
"learning_rate": 6.941111111111112e-07,
|
380 |
+
"loss": 1.0915,
|
381 |
+
"step": 25000
|
382 |
+
},
|
383 |
+
{
|
384 |
+
"epoch": 1.02,
|
385 |
+
"eval_accuracy": 0.4177644710578842,
|
386 |
+
"eval_loss": 1.0762931108474731,
|
387 |
+
"eval_runtime": 12.3887,
|
388 |
+
"eval_samples_per_second": 404.399,
|
389 |
+
"eval_steps_per_second": 50.61,
|
390 |
+
"step": 25000
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 1.06,
|
394 |
+
"learning_rate": 7.218888888888889e-07,
|
395 |
+
"loss": 1.0889,
|
396 |
+
"step": 26000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 1.06,
|
400 |
+
"eval_accuracy": 0.43253493013972055,
|
401 |
+
"eval_loss": 1.0695326328277588,
|
402 |
+
"eval_runtime": 12.5611,
|
403 |
+
"eval_samples_per_second": 398.85,
|
404 |
+
"eval_steps_per_second": 49.916,
|
405 |
+
"step": 26000
|
406 |
+
},
|
407 |
+
{
|
408 |
+
"epoch": 1.1,
|
409 |
+
"learning_rate": 7.49638888888889e-07,
|
410 |
+
"loss": 1.0827,
|
411 |
+
"step": 27000
|
412 |
+
},
|
413 |
+
{
|
414 |
+
"epoch": 1.1,
|
415 |
+
"eval_accuracy": 0.4343313373253493,
|
416 |
+
"eval_loss": 1.0662548542022705,
|
417 |
+
"eval_runtime": 12.641,
|
418 |
+
"eval_samples_per_second": 396.328,
|
419 |
+
"eval_steps_per_second": 49.6,
|
420 |
+
"step": 27000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 1.14,
|
424 |
+
"learning_rate": 7.774166666666668e-07,
|
425 |
+
"loss": 1.0765,
|
426 |
+
"step": 28000
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 1.14,
|
430 |
+
"eval_accuracy": 0.4315369261477046,
|
431 |
+
"eval_loss": 1.0609794855117798,
|
432 |
+
"eval_runtime": 12.4637,
|
433 |
+
"eval_samples_per_second": 401.967,
|
434 |
+
"eval_steps_per_second": 50.306,
|
435 |
+
"step": 28000
|
436 |
+
},
|
437 |
+
{
|
438 |
+
"epoch": 1.18,
|
439 |
+
"learning_rate": 8.051666666666667e-07,
|
440 |
+
"loss": 1.0736,
|
441 |
+
"step": 29000
|
442 |
+
},
|
443 |
+
{
|
444 |
+
"epoch": 1.18,
|
445 |
+
"eval_accuracy": 0.4377245508982036,
|
446 |
+
"eval_loss": 1.0587859153747559,
|
447 |
+
"eval_runtime": 12.3801,
|
448 |
+
"eval_samples_per_second": 404.683,
|
449 |
+
"eval_steps_per_second": 50.646,
|
450 |
+
"step": 29000
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 1.22,
|
454 |
+
"learning_rate": 8.329444444444445e-07,
|
455 |
+
"loss": 1.0726,
|
456 |
+
"step": 30000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 1.22,
|
460 |
+
"eval_accuracy": 0.4249500998003992,
|
461 |
+
"eval_loss": 1.0559338331222534,
|
462 |
+
"eval_runtime": 12.5945,
|
463 |
+
"eval_samples_per_second": 397.792,
|
464 |
+
"eval_steps_per_second": 49.784,
|
465 |
+
"step": 30000
|
466 |
+
},
|
467 |
+
{
|
468 |
+
"epoch": 1.26,
|
469 |
+
"learning_rate": 8.606944444444445e-07,
|
470 |
+
"loss": 1.0751,
|
471 |
+
"step": 31000
|
472 |
+
},
|
473 |
+
{
|
474 |
+
"epoch": 1.26,
|
475 |
+
"eval_accuracy": 0.4427145708582834,
|
476 |
+
"eval_loss": 1.0576916933059692,
|
477 |
+
"eval_runtime": 12.6324,
|
478 |
+
"eval_samples_per_second": 396.599,
|
479 |
+
"eval_steps_per_second": 49.634,
|
480 |
+
"step": 31000
|
481 |
+
},
|
482 |
+
{
|
483 |
+
"epoch": 1.3,
|
484 |
+
"learning_rate": 8.884722222222224e-07,
|
485 |
+
"loss": 1.0708,
|
486 |
+
"step": 32000
|
487 |
+
},
|
488 |
+
{
|
489 |
+
"epoch": 1.3,
|
490 |
+
"eval_accuracy": 0.42634730538922155,
|
491 |
+
"eval_loss": 1.0571542978286743,
|
492 |
+
"eval_runtime": 12.4696,
|
493 |
+
"eval_samples_per_second": 401.776,
|
494 |
+
"eval_steps_per_second": 50.282,
|
495 |
+
"step": 32000
|
496 |
+
},
|
497 |
+
{
|
498 |
+
"epoch": 1.34,
|
499 |
+
"learning_rate": 9.162222222222223e-07,
|
500 |
+
"loss": 1.0711,
|
501 |
+
"step": 33000
|
502 |
+
},
|
503 |
+
{
|
504 |
+
"epoch": 1.34,
|
505 |
+
"eval_accuracy": 0.4419161676646707,
|
506 |
+
"eval_loss": 1.0544849634170532,
|
507 |
+
"eval_runtime": 12.415,
|
508 |
+
"eval_samples_per_second": 403.544,
|
509 |
+
"eval_steps_per_second": 50.503,
|
510 |
+
"step": 33000
|
511 |
+
},
|
512 |
+
{
|
513 |
+
"epoch": 1.39,
|
514 |
+
"learning_rate": 9.440000000000001e-07,
|
515 |
+
"loss": 1.0666,
|
516 |
+
"step": 34000
|
517 |
+
},
|
518 |
+
{
|
519 |
+
"epoch": 1.39,
|
520 |
+
"eval_accuracy": 0.43333333333333335,
|
521 |
+
"eval_loss": 1.05018150806427,
|
522 |
+
"eval_runtime": 12.6226,
|
523 |
+
"eval_samples_per_second": 396.906,
|
524 |
+
"eval_steps_per_second": 49.673,
|
525 |
+
"step": 34000
|
526 |
+
},
|
527 |
+
{
|
528 |
+
"epoch": 1.43,
|
529 |
+
"learning_rate": 9.7175e-07,
|
530 |
+
"loss": 1.0698,
|
531 |
+
"step": 35000
|
532 |
+
},
|
533 |
+
{
|
534 |
+
"epoch": 1.43,
|
535 |
+
"eval_accuracy": 0.4377245508982036,
|
536 |
+
"eval_loss": 1.0488406419754028,
|
537 |
+
"eval_runtime": 12.6246,
|
538 |
+
"eval_samples_per_second": 396.844,
|
539 |
+
"eval_steps_per_second": 49.665,
|
540 |
+
"step": 35000
|
541 |
+
},
|
542 |
+
{
|
543 |
+
"epoch": 1.47,
|
544 |
+
"learning_rate": 9.995277777777778e-07,
|
545 |
+
"loss": 1.067,
|
546 |
+
"step": 36000
|
547 |
+
},
|
548 |
+
{
|
549 |
+
"epoch": 1.47,
|
550 |
+
"eval_accuracy": 0.4407185628742515,
|
551 |
+
"eval_loss": 1.047359824180603,
|
552 |
+
"eval_runtime": 12.4039,
|
553 |
+
"eval_samples_per_second": 403.906,
|
554 |
+
"eval_steps_per_second": 50.549,
|
555 |
+
"step": 36000
|
556 |
+
},
|
557 |
+
{
|
558 |
+
"epoch": 1.51,
|
559 |
+
"learning_rate": 1.027277777777778e-06,
|
560 |
+
"loss": 1.0636,
|
561 |
+
"step": 37000
|
562 |
+
},
|
563 |
+
{
|
564 |
+
"epoch": 1.51,
|
565 |
+
"eval_accuracy": 0.44451097804391215,
|
566 |
+
"eval_loss": 1.0455204248428345,
|
567 |
+
"eval_runtime": 12.3836,
|
568 |
+
"eval_samples_per_second": 404.569,
|
569 |
+
"eval_steps_per_second": 50.632,
|
570 |
+
"step": 37000
|
571 |
+
},
|
572 |
+
{
|
573 |
+
"epoch": 1.55,
|
574 |
+
"learning_rate": 1.0550555555555557e-06,
|
575 |
+
"loss": 1.0658,
|
576 |
+
"step": 38000
|
577 |
+
},
|
578 |
+
{
|
579 |
+
"epoch": 1.55,
|
580 |
+
"eval_accuracy": 0.4407185628742515,
|
581 |
+
"eval_loss": 1.0461794137954712,
|
582 |
+
"eval_runtime": 12.5546,
|
583 |
+
"eval_samples_per_second": 399.057,
|
584 |
+
"eval_steps_per_second": 49.942,
|
585 |
+
"step": 38000
|
586 |
+
},
|
587 |
+
{
|
588 |
+
"epoch": 1.59,
|
589 |
+
"learning_rate": 1.0828333333333334e-06,
|
590 |
+
"loss": 1.0635,
|
591 |
+
"step": 39000
|
592 |
+
},
|
593 |
+
{
|
594 |
+
"epoch": 1.59,
|
595 |
+
"eval_accuracy": 0.4367265469061876,
|
596 |
+
"eval_loss": 1.0461270809173584,
|
597 |
+
"eval_runtime": 12.5509,
|
598 |
+
"eval_samples_per_second": 399.173,
|
599 |
+
"eval_steps_per_second": 49.956,
|
600 |
+
"step": 39000
|
601 |
+
},
|
602 |
+
{
|
603 |
+
"epoch": 1.63,
|
604 |
+
"learning_rate": 1.1105833333333335e-06,
|
605 |
+
"loss": 1.0596,
|
606 |
+
"step": 40000
|
607 |
+
},
|
608 |
+
{
|
609 |
+
"epoch": 1.63,
|
610 |
+
"eval_accuracy": 0.449500998003992,
|
611 |
+
"eval_loss": 1.0418727397918701,
|
612 |
+
"eval_runtime": 12.4044,
|
613 |
+
"eval_samples_per_second": 403.889,
|
614 |
+
"eval_steps_per_second": 50.547,
|
615 |
+
"step": 40000
|
616 |
+
},
|
617 |
+
{
|
618 |
+
"epoch": 1.67,
|
619 |
+
"learning_rate": 1.1383611111111113e-06,
|
620 |
+
"loss": 1.0595,
|
621 |
+
"step": 41000
|
622 |
+
},
|
623 |
+
{
|
624 |
+
"epoch": 1.67,
|
625 |
+
"eval_accuracy": 0.4409181636726547,
|
626 |
+
"eval_loss": 1.0417557954788208,
|
627 |
+
"eval_runtime": 12.3642,
|
628 |
+
"eval_samples_per_second": 405.202,
|
629 |
+
"eval_steps_per_second": 50.711,
|
630 |
+
"step": 41000
|
631 |
+
},
|
632 |
+
{
|
633 |
+
"epoch": 1.71,
|
634 |
+
"learning_rate": 1.1661111111111111e-06,
|
635 |
+
"loss": 1.054,
|
636 |
+
"step": 42000
|
637 |
+
},
|
638 |
+
{
|
639 |
+
"epoch": 1.71,
|
640 |
+
"eval_accuracy": 0.4357285429141717,
|
641 |
+
"eval_loss": 1.0383535623550415,
|
642 |
+
"eval_runtime": 12.3634,
|
643 |
+
"eval_samples_per_second": 405.23,
|
644 |
+
"eval_steps_per_second": 50.714,
|
645 |
+
"step": 42000
|
646 |
+
},
|
647 |
+
{
|
648 |
+
"epoch": 1.75,
|
649 |
+
"learning_rate": 1.193888888888889e-06,
|
650 |
+
"loss": 1.0543,
|
651 |
+
"step": 43000
|
652 |
+
},
|
653 |
+
{
|
654 |
+
"epoch": 1.75,
|
655 |
+
"eval_accuracy": 0.43812375249500995,
|
656 |
+
"eval_loss": 1.0463169813156128,
|
657 |
+
"eval_runtime": 12.6398,
|
658 |
+
"eval_samples_per_second": 396.366,
|
659 |
+
"eval_steps_per_second": 49.605,
|
660 |
+
"step": 43000
|
661 |
+
},
|
662 |
+
{
|
663 |
+
"epoch": 1.79,
|
664 |
+
"learning_rate": 1.221638888888889e-06,
|
665 |
+
"loss": 1.0579,
|
666 |
+
"step": 44000
|
667 |
+
},
|
668 |
+
{
|
669 |
+
"epoch": 1.79,
|
670 |
+
"eval_accuracy": 0.4415169660678643,
|
671 |
+
"eval_loss": 1.0388957262039185,
|
672 |
+
"eval_runtime": 12.4542,
|
673 |
+
"eval_samples_per_second": 402.274,
|
674 |
+
"eval_steps_per_second": 50.344,
|
675 |
+
"step": 44000
|
676 |
+
},
|
677 |
+
{
|
678 |
+
"epoch": 1.83,
|
679 |
+
"learning_rate": 1.2494166666666668e-06,
|
680 |
+
"loss": 1.0561,
|
681 |
+
"step": 45000
|
682 |
+
},
|
683 |
+
{
|
684 |
+
"epoch": 1.83,
|
685 |
+
"eval_accuracy": 0.46187624750499,
|
686 |
+
"eval_loss": 1.031552791595459,
|
687 |
+
"eval_runtime": 12.4082,
|
688 |
+
"eval_samples_per_second": 403.764,
|
689 |
+
"eval_steps_per_second": 50.531,
|
690 |
+
"step": 45000
|
691 |
+
},
|
692 |
+
{
|
693 |
+
"epoch": 1.87,
|
694 |
+
"learning_rate": 1.2771666666666668e-06,
|
695 |
+
"loss": 1.0516,
|
696 |
+
"step": 46000
|
697 |
+
},
|
698 |
+
{
|
699 |
+
"epoch": 1.87,
|
700 |
+
"eval_accuracy": 0.4538922155688623,
|
701 |
+
"eval_loss": 1.0312999486923218,
|
702 |
+
"eval_runtime": 12.3695,
|
703 |
+
"eval_samples_per_second": 405.029,
|
704 |
+
"eval_steps_per_second": 50.689,
|
705 |
+
"step": 46000
|
706 |
+
},
|
707 |
+
{
|
708 |
+
"epoch": 1.91,
|
709 |
+
"learning_rate": 1.3049444444444446e-06,
|
710 |
+
"loss": 1.0471,
|
711 |
+
"step": 47000
|
712 |
+
},
|
713 |
+
{
|
714 |
+
"epoch": 1.91,
|
715 |
+
"eval_accuracy": 0.46387225548902195,
|
716 |
+
"eval_loss": 1.027535319328308,
|
717 |
+
"eval_runtime": 12.5846,
|
718 |
+
"eval_samples_per_second": 398.107,
|
719 |
+
"eval_steps_per_second": 49.823,
|
720 |
+
"step": 47000
|
721 |
+
},
|
722 |
+
{
|
723 |
+
"epoch": 1.96,
|
724 |
+
"learning_rate": 1.3326944444444447e-06,
|
725 |
+
"loss": 1.054,
|
726 |
+
"step": 48000
|
727 |
+
},
|
728 |
+
{
|
729 |
+
"epoch": 1.96,
|
730 |
+
"eval_accuracy": 0.4568862275449102,
|
731 |
+
"eval_loss": 1.0308438539505005,
|
732 |
+
"eval_runtime": 12.5646,
|
733 |
+
"eval_samples_per_second": 398.74,
|
734 |
+
"eval_steps_per_second": 49.902,
|
735 |
+
"step": 48000
|
736 |
+
},
|
737 |
+
{
|
738 |
+
"epoch": 2.0,
|
739 |
+
"learning_rate": 1.3604722222222224e-06,
|
740 |
+
"loss": 1.0445,
|
741 |
+
"step": 49000
|
742 |
+
},
|
743 |
+
{
|
744 |
+
"epoch": 2.0,
|
745 |
+
"eval_accuracy": 0.47045908183632734,
|
746 |
+
"eval_loss": 1.0230755805969238,
|
747 |
+
"eval_runtime": 12.4305,
|
748 |
+
"eval_samples_per_second": 403.041,
|
749 |
+
"eval_steps_per_second": 50.44,
|
750 |
+
"step": 49000
|
751 |
+
},
|
752 |
+
{
|
753 |
+
"epoch": 2.04,
|
754 |
+
"learning_rate": 1.3882222222222223e-06,
|
755 |
+
"loss": 1.0479,
|
756 |
+
"step": 50000
|
757 |
+
},
|
758 |
+
{
|
759 |
+
"epoch": 2.04,
|
760 |
+
"eval_accuracy": 0.47305389221556887,
|
761 |
+
"eval_loss": 1.0201445817947388,
|
762 |
+
"eval_runtime": 12.3672,
|
763 |
+
"eval_samples_per_second": 405.103,
|
764 |
+
"eval_steps_per_second": 50.698,
|
765 |
+
"step": 50000
|
766 |
+
},
|
767 |
+
{
|
768 |
+
"epoch": 2.08,
|
769 |
+
"learning_rate": 1.416e-06,
|
770 |
+
"loss": 1.0482,
|
771 |
+
"step": 51000
|
772 |
+
},
|
773 |
+
{
|
774 |
+
"epoch": 2.08,
|
775 |
+
"eval_accuracy": 0.4678642714570858,
|
776 |
+
"eval_loss": 1.0167714357376099,
|
777 |
+
"eval_runtime": 12.5982,
|
778 |
+
"eval_samples_per_second": 397.677,
|
779 |
+
"eval_steps_per_second": 49.769,
|
780 |
+
"step": 51000
|
781 |
+
},
|
782 |
+
{
|
783 |
+
"epoch": 2.12,
|
784 |
+
"learning_rate": 1.4437500000000002e-06,
|
785 |
+
"loss": 1.0406,
|
786 |
+
"step": 52000
|
787 |
+
},
|
788 |
+
{
|
789 |
+
"epoch": 2.12,
|
790 |
+
"eval_accuracy": 0.4722554890219561,
|
791 |
+
"eval_loss": 1.0175116062164307,
|
792 |
+
"eval_runtime": 12.6041,
|
793 |
+
"eval_samples_per_second": 397.49,
|
794 |
+
"eval_steps_per_second": 49.746,
|
795 |
+
"step": 52000
|
796 |
+
},
|
797 |
+
{
|
798 |
+
"epoch": 2.16,
|
799 |
+
"learning_rate": 1.471527777777778e-06,
|
800 |
+
"loss": 1.0457,
|
801 |
+
"step": 53000
|
802 |
+
},
|
803 |
+
{
|
804 |
+
"epoch": 2.16,
|
805 |
+
"eval_accuracy": 0.4748502994011976,
|
806 |
+
"eval_loss": 1.010857343673706,
|
807 |
+
"eval_runtime": 12.3728,
|
808 |
+
"eval_samples_per_second": 404.921,
|
809 |
+
"eval_steps_per_second": 50.676,
|
810 |
+
"step": 53000
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 2.2,
|
814 |
+
"learning_rate": 1.4993055555555557e-06,
|
815 |
+
"loss": 1.0399,
|
816 |
+
"step": 54000
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 2.2,
|
820 |
+
"eval_accuracy": 0.48522954091816367,
|
821 |
+
"eval_loss": 1.0106219053268433,
|
822 |
+
"eval_runtime": 12.3952,
|
823 |
+
"eval_samples_per_second": 404.188,
|
824 |
+
"eval_steps_per_second": 50.584,
|
825 |
+
"step": 54000
|
826 |
+
},
|
827 |
+
{
|
828 |
+
"epoch": 2.24,
|
829 |
+
"learning_rate": 1.5270555555555558e-06,
|
830 |
+
"loss": 1.0412,
|
831 |
+
"step": 55000
|
832 |
+
},
|
833 |
+
{
|
834 |
+
"epoch": 2.24,
|
835 |
+
"eval_accuracy": 0.4750499001996008,
|
836 |
+
"eval_loss": 1.0111658573150635,
|
837 |
+
"eval_runtime": 12.4858,
|
838 |
+
"eval_samples_per_second": 401.257,
|
839 |
+
"eval_steps_per_second": 50.217,
|
840 |
+
"step": 55000
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 2.28,
|
844 |
+
"learning_rate": 1.5548333333333335e-06,
|
845 |
+
"loss": 1.0347,
|
846 |
+
"step": 56000
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 2.28,
|
850 |
+
"eval_accuracy": 0.47924151696606787,
|
851 |
+
"eval_loss": 1.0121456384658813,
|
852 |
+
"eval_runtime": 12.6206,
|
853 |
+
"eval_samples_per_second": 396.97,
|
854 |
+
"eval_steps_per_second": 49.681,
|
855 |
+
"step": 56000
|
856 |
+
},
|
857 |
+
{
|
858 |
+
"epoch": 2.32,
|
859 |
+
"learning_rate": 1.5825833333333334e-06,
|
860 |
+
"loss": 1.0324,
|
861 |
+
"step": 57000
|
862 |
+
},
|
863 |
+
{
|
864 |
+
"epoch": 2.32,
|
865 |
+
"eval_accuracy": 0.4738522954091816,
|
866 |
+
"eval_loss": 1.0100611448287964,
|
867 |
+
"eval_runtime": 12.3748,
|
868 |
+
"eval_samples_per_second": 404.857,
|
869 |
+
"eval_steps_per_second": 50.668,
|
870 |
+
"step": 57000
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 2.36,
|
874 |
+
"learning_rate": 1.6103611111111112e-06,
|
875 |
+
"loss": 1.0346,
|
876 |
+
"step": 58000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 2.36,
|
880 |
+
"eval_accuracy": 0.4694610778443114,
|
881 |
+
"eval_loss": 1.0124626159667969,
|
882 |
+
"eval_runtime": 12.4716,
|
883 |
+
"eval_samples_per_second": 401.711,
|
884 |
+
"eval_steps_per_second": 50.274,
|
885 |
+
"step": 58000
|
886 |
+
},
|
887 |
+
{
|
888 |
+
"epoch": 2.4,
|
889 |
+
"learning_rate": 1.638111111111111e-06,
|
890 |
+
"loss": 1.0309,
|
891 |
+
"step": 59000
|
892 |
+
},
|
893 |
+
{
|
894 |
+
"epoch": 2.4,
|
895 |
+
"eval_accuracy": 0.48982035928143713,
|
896 |
+
"eval_loss": 1.0022122859954834,
|
897 |
+
"eval_runtime": 12.4734,
|
898 |
+
"eval_samples_per_second": 401.655,
|
899 |
+
"eval_steps_per_second": 50.267,
|
900 |
+
"step": 59000
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 2.44,
|
904 |
+
"learning_rate": 1.665888888888889e-06,
|
905 |
+
"loss": 1.0351,
|
906 |
+
"step": 60000
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 2.44,
|
910 |
+
"eval_accuracy": 0.4802395209580838,
|
911 |
+
"eval_loss": 1.004167914390564,
|
912 |
+
"eval_runtime": 12.6287,
|
913 |
+
"eval_samples_per_second": 396.714,
|
914 |
+
"eval_steps_per_second": 49.649,
|
915 |
+
"step": 60000
|
916 |
+
},
|
917 |
+
{
|
918 |
+
"epoch": 2.49,
|
919 |
+
"learning_rate": 1.693638888888889e-06,
|
920 |
+
"loss": 1.0312,
|
921 |
+
"step": 61000
|
922 |
+
},
|
923 |
+
{
|
924 |
+
"epoch": 2.49,
|
925 |
+
"eval_accuracy": 0.48323353293413174,
|
926 |
+
"eval_loss": 1.0065865516662598,
|
927 |
+
"eval_runtime": 12.4143,
|
928 |
+
"eval_samples_per_second": 403.567,
|
929 |
+
"eval_steps_per_second": 50.506,
|
930 |
+
"step": 61000
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 2.53,
|
934 |
+
"learning_rate": 1.7214166666666666e-06,
|
935 |
+
"loss": 1.0329,
|
936 |
+
"step": 62000
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 2.53,
|
940 |
+
"eval_accuracy": 0.47924151696606787,
|
941 |
+
"eval_loss": 1.0041630268096924,
|
942 |
+
"eval_runtime": 12.4326,
|
943 |
+
"eval_samples_per_second": 402.974,
|
944 |
+
"eval_steps_per_second": 50.432,
|
945 |
+
"step": 62000
|
946 |
+
},
|
947 |
+
{
|
948 |
+
"epoch": 2.57,
|
949 |
+
"learning_rate": 1.7491666666666667e-06,
|
950 |
+
"loss": 1.0355,
|
951 |
+
"step": 63000
|
952 |
+
},
|
953 |
+
{
|
954 |
+
"epoch": 2.57,
|
955 |
+
"eval_accuracy": 0.49261477045908186,
|
956 |
+
"eval_loss": 1.0007619857788086,
|
957 |
+
"eval_runtime": 12.4051,
|
958 |
+
"eval_samples_per_second": 403.866,
|
959 |
+
"eval_steps_per_second": 50.544,
|
960 |
+
"step": 63000
|
961 |
+
},
|
962 |
+
{
|
963 |
+
"epoch": 2.61,
|
964 |
+
"learning_rate": 1.7769444444444447e-06,
|
965 |
+
"loss": 1.0297,
|
966 |
+
"step": 64000
|
967 |
+
},
|
968 |
+
{
|
969 |
+
"epoch": 2.61,
|
970 |
+
"eval_accuracy": 0.4942115768463074,
|
971 |
+
"eval_loss": 0.9986936450004578,
|
972 |
+
"eval_runtime": 12.5727,
|
973 |
+
"eval_samples_per_second": 398.482,
|
974 |
+
"eval_steps_per_second": 49.87,
|
975 |
+
"step": 64000
|
976 |
+
},
|
977 |
+
{
|
978 |
+
"epoch": 2.65,
|
979 |
+
"learning_rate": 1.8046944444444446e-06,
|
980 |
+
"loss": 1.0277,
|
981 |
+
"step": 65000
|
982 |
+
},
|
983 |
+
{
|
984 |
+
"epoch": 2.65,
|
985 |
+
"eval_accuracy": 0.49121756487025947,
|
986 |
+
"eval_loss": 1.0008972883224487,
|
987 |
+
"eval_runtime": 12.4544,
|
988 |
+
"eval_samples_per_second": 402.267,
|
989 |
+
"eval_steps_per_second": 50.344,
|
990 |
+
"step": 65000
|
991 |
+
},
|
992 |
+
{
|
993 |
+
"epoch": 2.69,
|
994 |
+
"learning_rate": 1.8324722222222223e-06,
|
995 |
+
"loss": 1.0341,
|
996 |
+
"step": 66000
|
997 |
+
},
|
998 |
+
{
|
999 |
+
"epoch": 2.69,
|
1000 |
+
"eval_accuracy": 0.499001996007984,
|
1001 |
+
"eval_loss": 0.9953575134277344,
|
1002 |
+
"eval_runtime": 12.4973,
|
1003 |
+
"eval_samples_per_second": 400.886,
|
1004 |
+
"eval_steps_per_second": 50.171,
|
1005 |
+
"step": 66000
|
1006 |
+
},
|
1007 |
+
{
|
1008 |
+
"epoch": 2.73,
|
1009 |
+
"learning_rate": 1.8602222222222222e-06,
|
1010 |
+
"loss": 1.0279,
|
1011 |
+
"step": 67000
|
1012 |
+
},
|
1013 |
+
{
|
1014 |
+
"epoch": 2.73,
|
1015 |
+
"eval_accuracy": 0.493812375249501,
|
1016 |
+
"eval_loss": 0.998134195804596,
|
1017 |
+
"eval_runtime": 12.6589,
|
1018 |
+
"eval_samples_per_second": 395.769,
|
1019 |
+
"eval_steps_per_second": 49.53,
|
1020 |
+
"step": 67000
|
1021 |
+
},
|
1022 |
+
{
|
1023 |
+
"epoch": 2.77,
|
1024 |
+
"learning_rate": 1.8880000000000002e-06,
|
1025 |
+
"loss": 1.03,
|
1026 |
+
"step": 68000
|
1027 |
+
},
|
1028 |
+
{
|
1029 |
+
"epoch": 2.77,
|
1030 |
+
"eval_accuracy": 0.5051896207584831,
|
1031 |
+
"eval_loss": 0.9947481751441956,
|
1032 |
+
"eval_runtime": 12.7939,
|
1033 |
+
"eval_samples_per_second": 391.594,
|
1034 |
+
"eval_steps_per_second": 49.008,
|
1035 |
+
"step": 68000
|
1036 |
+
},
|
1037 |
+
{
|
1038 |
+
"epoch": 2.81,
|
1039 |
+
"learning_rate": 1.9157500000000003e-06,
|
1040 |
+
"loss": 1.0283,
|
1041 |
+
"step": 69000
|
1042 |
+
},
|
1043 |
+
{
|
1044 |
+
"epoch": 2.81,
|
1045 |
+
"eval_accuracy": 0.5001996007984032,
|
1046 |
+
"eval_loss": 0.997833251953125,
|
1047 |
+
"eval_runtime": 12.8129,
|
1048 |
+
"eval_samples_per_second": 391.012,
|
1049 |
+
"eval_steps_per_second": 48.935,
|
1050 |
+
"step": 69000
|
1051 |
+
},
|
1052 |
+
{
|
1053 |
+
"epoch": 2.85,
|
1054 |
+
"learning_rate": 1.943527777777778e-06,
|
1055 |
+
"loss": 1.0288,
|
1056 |
+
"step": 70000
|
1057 |
+
},
|
1058 |
+
{
|
1059 |
+
"epoch": 2.85,
|
1060 |
+
"eval_accuracy": 0.49181636726546907,
|
1061 |
+
"eval_loss": 1.00169038772583,
|
1062 |
+
"eval_runtime": 12.5936,
|
1063 |
+
"eval_samples_per_second": 397.822,
|
1064 |
+
"eval_steps_per_second": 49.787,
|
1065 |
+
"step": 70000
|
1066 |
+
},
|
1067 |
+
{
|
1068 |
+
"epoch": 2.89,
|
1069 |
+
"learning_rate": 1.9712777777777777e-06,
|
1070 |
+
"loss": 1.0238,
|
1071 |
+
"step": 71000
|
1072 |
+
},
|
1073 |
+
{
|
1074 |
+
"epoch": 2.89,
|
1075 |
+
"eval_accuracy": 0.4944111776447106,
|
1076 |
+
"eval_loss": 1.001316785812378,
|
1077 |
+
"eval_runtime": 12.485,
|
1078 |
+
"eval_samples_per_second": 401.282,
|
1079 |
+
"eval_steps_per_second": 50.22,
|
1080 |
+
"step": 71000
|
1081 |
+
},
|
1082 |
+
{
|
1083 |
+
"epoch": 2.93,
|
1084 |
+
"learning_rate": 1.9990555555555557e-06,
|
1085 |
+
"loss": 1.0268,
|
1086 |
+
"step": 72000
|
1087 |
+
},
|
1088 |
+
{
|
1089 |
+
"epoch": 2.93,
|
1090 |
+
"eval_accuracy": 0.49241516966067866,
|
1091 |
+
"eval_loss": 1.0005468130111694,
|
1092 |
+
"eval_runtime": 12.501,
|
1093 |
+
"eval_samples_per_second": 400.768,
|
1094 |
+
"eval_steps_per_second": 50.156,
|
1095 |
+
"step": 72000
|
1096 |
+
},
|
1097 |
+
{
|
1098 |
+
"epoch": 2.97,
|
1099 |
+
"learning_rate": 2.026805555555556e-06,
|
1100 |
+
"loss": 1.0266,
|
1101 |
+
"step": 73000
|
1102 |
+
},
|
1103 |
+
{
|
1104 |
+
"epoch": 2.97,
|
1105 |
+
"eval_accuracy": 0.4940119760479042,
|
1106 |
+
"eval_loss": 0.9998964071273804,
|
1107 |
+
"eval_runtime": 12.6227,
|
1108 |
+
"eval_samples_per_second": 396.904,
|
1109 |
+
"eval_steps_per_second": 49.672,
|
1110 |
+
"step": 73000
|
1111 |
+
},
|
1112 |
+
{
|
1113 |
+
"epoch": 3.01,
|
1114 |
+
"learning_rate": 2.0545833333333335e-06,
|
1115 |
+
"loss": 1.0222,
|
1116 |
+
"step": 74000
|
1117 |
+
},
|
1118 |
+
{
|
1119 |
+
"epoch": 3.01,
|
1120 |
+
"eval_accuracy": 0.501996007984032,
|
1121 |
+
"eval_loss": 0.9927905201911926,
|
1122 |
+
"eval_runtime": 12.7924,
|
1123 |
+
"eval_samples_per_second": 391.64,
|
1124 |
+
"eval_steps_per_second": 49.014,
|
1125 |
+
"step": 74000
|
1126 |
+
},
|
1127 |
+
{
|
1128 |
+
"epoch": 3.06,
|
1129 |
+
"learning_rate": 2.0823333333333334e-06,
|
1130 |
+
"loss": 1.0198,
|
1131 |
+
"step": 75000
|
1132 |
+
},
|
1133 |
+
{
|
1134 |
+
"epoch": 3.06,
|
1135 |
+
"eval_accuracy": 0.5025948103792415,
|
1136 |
+
"eval_loss": 0.9925487041473389,
|
1137 |
+
"eval_runtime": 12.6297,
|
1138 |
+
"eval_samples_per_second": 396.684,
|
1139 |
+
"eval_steps_per_second": 49.645,
|
1140 |
+
"step": 75000
|
1141 |
+
},
|
1142 |
+
{
|
1143 |
+
"epoch": 3.1,
|
1144 |
+
"learning_rate": 2.1101111111111113e-06,
|
1145 |
+
"loss": 1.0203,
|
1146 |
+
"step": 76000
|
1147 |
+
},
|
1148 |
+
{
|
1149 |
+
"epoch": 3.1,
|
1150 |
+
"eval_accuracy": 0.5027944111776447,
|
1151 |
+
"eval_loss": 0.9909006953239441,
|
1152 |
+
"eval_runtime": 12.4265,
|
1153 |
+
"eval_samples_per_second": 403.17,
|
1154 |
+
"eval_steps_per_second": 50.457,
|
1155 |
+
"step": 76000
|
1156 |
+
},
|
1157 |
+
{
|
1158 |
+
"epoch": 3.14,
|
1159 |
+
"learning_rate": 2.137861111111111e-06,
|
1160 |
+
"loss": 1.022,
|
1161 |
+
"step": 77000
|
1162 |
+
},
|
1163 |
+
{
|
1164 |
+
"epoch": 3.14,
|
1165 |
+
"eval_accuracy": 0.48303393213572854,
|
1166 |
+
"eval_loss": 1.010209083557129,
|
1167 |
+
"eval_runtime": 12.3999,
|
1168 |
+
"eval_samples_per_second": 404.037,
|
1169 |
+
"eval_steps_per_second": 50.565,
|
1170 |
+
"step": 77000
|
1171 |
+
},
|
1172 |
+
{
|
1173 |
+
"epoch": 3.18,
|
1174 |
+
"learning_rate": 2.1656388888888888e-06,
|
1175 |
+
"loss": 1.0133,
|
1176 |
+
"step": 78000
|
1177 |
+
},
|
1178 |
+
{
|
1179 |
+
"epoch": 3.18,
|
1180 |
+
"eval_accuracy": 0.5075848303393213,
|
1181 |
+
"eval_loss": 0.9907119274139404,
|
1182 |
+
"eval_runtime": 12.4429,
|
1183 |
+
"eval_samples_per_second": 402.64,
|
1184 |
+
"eval_steps_per_second": 50.39,
|
1185 |
+
"step": 78000
|
1186 |
+
},
|
1187 |
+
{
|
1188 |
+
"epoch": 3.22,
|
1189 |
+
"learning_rate": 2.193388888888889e-06,
|
1190 |
+
"loss": 1.0207,
|
1191 |
+
"step": 79000
|
1192 |
+
},
|
1193 |
+
{
|
1194 |
+
"epoch": 3.22,
|
1195 |
+
"eval_accuracy": 0.4944111776447106,
|
1196 |
+
"eval_loss": 1.0015305280685425,
|
1197 |
+
"eval_runtime": 12.7143,
|
1198 |
+
"eval_samples_per_second": 394.046,
|
1199 |
+
"eval_steps_per_second": 49.315,
|
1200 |
+
"step": 79000
|
1201 |
+
},
|
1202 |
+
{
|
1203 |
+
"epoch": 3.26,
|
1204 |
+
"learning_rate": 2.221166666666667e-06,
|
1205 |
+
"loss": 1.0172,
|
1206 |
+
"step": 80000
|
1207 |
+
},
|
1208 |
+
{
|
1209 |
+
"epoch": 3.26,
|
1210 |
+
"eval_accuracy": 0.49540918163672654,
|
1211 |
+
"eval_loss": 0.9991635680198669,
|
1212 |
+
"eval_runtime": 12.7122,
|
1213 |
+
"eval_samples_per_second": 394.109,
|
1214 |
+
"eval_steps_per_second": 49.323,
|
1215 |
+
"step": 80000
|
1216 |
+
},
|
1217 |
+
{
|
1218 |
+
"epoch": 3.3,
|
1219 |
+
"learning_rate": 2.248916666666667e-06,
|
1220 |
+
"loss": 1.0185,
|
1221 |
+
"step": 81000
|
1222 |
+
},
|
1223 |
+
{
|
1224 |
+
"epoch": 3.3,
|
1225 |
+
"eval_accuracy": 0.49001996007984033,
|
1226 |
+
"eval_loss": 1.0026898384094238,
|
1227 |
+
"eval_runtime": 12.6101,
|
1228 |
+
"eval_samples_per_second": 397.299,
|
1229 |
+
"eval_steps_per_second": 49.722,
|
1230 |
+
"step": 81000
|
1231 |
+
},
|
1232 |
+
{
|
1233 |
+
"epoch": 3.34,
|
1234 |
+
"learning_rate": 2.2766944444444444e-06,
|
1235 |
+
"loss": 1.0287,
|
1236 |
+
"step": 82000
|
1237 |
+
},
|
1238 |
+
{
|
1239 |
+
"epoch": 3.34,
|
1240 |
+
"eval_accuracy": 0.4998003992015968,
|
1241 |
+
"eval_loss": 0.9921432733535767,
|
1242 |
+
"eval_runtime": 12.4639,
|
1243 |
+
"eval_samples_per_second": 401.961,
|
1244 |
+
"eval_steps_per_second": 50.305,
|
1245 |
+
"step": 82000
|
1246 |
+
},
|
1247 |
+
{
|
1248 |
+
"epoch": 3.38,
|
1249 |
+
"learning_rate": 2.3044444444444443e-06,
|
1250 |
+
"loss": 1.0142,
|
1251 |
+
"step": 83000
|
1252 |
+
},
|
1253 |
+
{
|
1254 |
+
"epoch": 3.38,
|
1255 |
+
"eval_accuracy": 0.5017964071856288,
|
1256 |
+
"eval_loss": 0.9938461184501648,
|
1257 |
+
"eval_runtime": 12.4125,
|
1258 |
+
"eval_samples_per_second": 403.625,
|
1259 |
+
"eval_steps_per_second": 50.514,
|
1260 |
+
"step": 83000
|
1261 |
+
},
|
1262 |
+
{
|
1263 |
+
"epoch": 3.42,
|
1264 |
+
"learning_rate": 2.3322222222222223e-06,
|
1265 |
+
"loss": 1.0186,
|
1266 |
+
"step": 84000
|
1267 |
+
},
|
1268 |
+
{
|
1269 |
+
"epoch": 3.42,
|
1270 |
+
"eval_accuracy": 0.5089820359281437,
|
1271 |
+
"eval_loss": 0.9863815307617188,
|
1272 |
+
"eval_runtime": 12.6556,
|
1273 |
+
"eval_samples_per_second": 395.872,
|
1274 |
+
"eval_steps_per_second": 49.543,
|
1275 |
+
"step": 84000
|
1276 |
+
},
|
1277 |
+
{
|
1278 |
+
"epoch": 3.46,
|
1279 |
+
"learning_rate": 2.3599722222222226e-06,
|
1280 |
+
"loss": 1.0151,
|
1281 |
+
"step": 85000
|
1282 |
+
},
|
1283 |
+
{
|
1284 |
+
"epoch": 3.46,
|
1285 |
+
"eval_accuracy": 0.5041916167664671,
|
1286 |
+
"eval_loss": 0.9891662001609802,
|
1287 |
+
"eval_runtime": 12.6529,
|
1288 |
+
"eval_samples_per_second": 395.958,
|
1289 |
+
"eval_steps_per_second": 49.554,
|
1290 |
+
"step": 85000
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 3.5,
|
1294 |
+
"learning_rate": 2.38775e-06,
|
1295 |
+
"loss": 1.0268,
|
1296 |
+
"step": 86000
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 3.5,
|
1300 |
+
"eval_accuracy": 0.5043912175648703,
|
1301 |
+
"eval_loss": 0.9857804179191589,
|
1302 |
+
"eval_runtime": 12.4197,
|
1303 |
+
"eval_samples_per_second": 403.391,
|
1304 |
+
"eval_steps_per_second": 50.484,
|
1305 |
+
"step": 86000
|
1306 |
+
},
|
1307 |
+
{
|
1308 |
+
"epoch": 3.54,
|
1309 |
+
"learning_rate": 2.4155e-06,
|
1310 |
+
"loss": 1.0152,
|
1311 |
+
"step": 87000
|
1312 |
+
},
|
1313 |
+
{
|
1314 |
+
"epoch": 3.54,
|
1315 |
+
"eval_accuracy": 0.5075848303393213,
|
1316 |
+
"eval_loss": 0.9841725826263428,
|
1317 |
+
"eval_runtime": 12.4152,
|
1318 |
+
"eval_samples_per_second": 403.538,
|
1319 |
+
"eval_steps_per_second": 50.503,
|
1320 |
+
"step": 87000
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 3.59,
|
1324 |
+
"learning_rate": 2.443277777777778e-06,
|
1325 |
+
"loss": 1.0201,
|
1326 |
+
"step": 88000
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 3.59,
|
1330 |
+
"eval_accuracy": 0.5065868263473053,
|
1331 |
+
"eval_loss": 0.9841102957725525,
|
1332 |
+
"eval_runtime": 12.4716,
|
1333 |
+
"eval_samples_per_second": 401.711,
|
1334 |
+
"eval_steps_per_second": 50.274,
|
1335 |
+
"step": 88000
|
1336 |
+
},
|
1337 |
+
{
|
1338 |
+
"epoch": 3.63,
|
1339 |
+
"learning_rate": 2.471027777777778e-06,
|
1340 |
+
"loss": 1.0113,
|
1341 |
+
"step": 89000
|
1342 |
+
},
|
1343 |
+
{
|
1344 |
+
"epoch": 3.63,
|
1345 |
+
"eval_accuracy": 0.5079840319361277,
|
1346 |
+
"eval_loss": 0.9851917028427124,
|
1347 |
+
"eval_runtime": 12.6634,
|
1348 |
+
"eval_samples_per_second": 395.627,
|
1349 |
+
"eval_steps_per_second": 49.513,
|
1350 |
+
"step": 89000
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 3.67,
|
1354 |
+
"learning_rate": 2.498805555555556e-06,
|
1355 |
+
"loss": 1.0195,
|
1356 |
+
"step": 90000
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 3.67,
|
1360 |
+
"eval_accuracy": 0.5039920159680639,
|
1361 |
+
"eval_loss": 0.9855921864509583,
|
1362 |
+
"eval_runtime": 12.6226,
|
1363 |
+
"eval_samples_per_second": 396.908,
|
1364 |
+
"eval_steps_per_second": 49.673,
|
1365 |
+
"step": 90000
|
1366 |
+
},
|
1367 |
+
{
|
1368 |
+
"epoch": 3.71,
|
1369 |
+
"learning_rate": 2.5265555555555557e-06,
|
1370 |
+
"loss": 1.0202,
|
1371 |
+
"step": 91000
|
1372 |
+
},
|
1373 |
+
{
|
1374 |
+
"epoch": 3.71,
|
1375 |
+
"eval_accuracy": 0.5001996007984032,
|
1376 |
+
"eval_loss": 0.9933446645736694,
|
1377 |
+
"eval_runtime": 12.4993,
|
1378 |
+
"eval_samples_per_second": 400.821,
|
1379 |
+
"eval_steps_per_second": 50.163,
|
1380 |
+
"step": 91000
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 3.75,
|
1384 |
+
"learning_rate": 2.5543333333333337e-06,
|
1385 |
+
"loss": 1.0183,
|
1386 |
+
"step": 92000
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 3.75,
|
1390 |
+
"eval_accuracy": 0.5,
|
1391 |
+
"eval_loss": 0.9928790926933289,
|
1392 |
+
"eval_runtime": 12.4539,
|
1393 |
+
"eval_samples_per_second": 402.285,
|
1394 |
+
"eval_steps_per_second": 50.346,
|
1395 |
+
"step": 92000
|
1396 |
+
},
|
1397 |
+
{
|
1398 |
+
"epoch": 3.79,
|
1399 |
+
"learning_rate": 2.5820833333333335e-06,
|
1400 |
+
"loss": 1.02,
|
1401 |
+
"step": 93000
|
1402 |
+
},
|
1403 |
+
{
|
1404 |
+
"epoch": 3.79,
|
1405 |
+
"eval_accuracy": 0.5011976047904192,
|
1406 |
+
"eval_loss": 0.9867545962333679,
|
1407 |
+
"eval_runtime": 12.4054,
|
1408 |
+
"eval_samples_per_second": 403.855,
|
1409 |
+
"eval_steps_per_second": 50.542,
|
1410 |
+
"step": 93000
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 3.83,
|
1414 |
+
"learning_rate": 2.609861111111111e-06,
|
1415 |
+
"loss": 1.0144,
|
1416 |
+
"step": 94000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 3.83,
|
1420 |
+
"eval_accuracy": 0.5027944111776447,
|
1421 |
+
"eval_loss": 0.9887515902519226,
|
1422 |
+
"eval_runtime": 12.8101,
|
1423 |
+
"eval_samples_per_second": 391.097,
|
1424 |
+
"eval_steps_per_second": 48.946,
|
1425 |
+
"step": 94000
|
1426 |
+
},
|
1427 |
+
{
|
1428 |
+
"epoch": 3.87,
|
1429 |
+
"learning_rate": 2.6376111111111114e-06,
|
1430 |
+
"loss": 1.0166,
|
1431 |
+
"step": 95000
|
1432 |
+
},
|
1433 |
+
{
|
1434 |
+
"epoch": 3.87,
|
1435 |
+
"eval_accuracy": 0.5077844311377245,
|
1436 |
+
"eval_loss": 0.9852330684661865,
|
1437 |
+
"eval_runtime": 12.6394,
|
1438 |
+
"eval_samples_per_second": 396.379,
|
1439 |
+
"eval_steps_per_second": 49.607,
|
1440 |
+
"step": 95000
|
1441 |
+
},
|
1442 |
+
{
|
1443 |
+
"epoch": 3.91,
|
1444 |
+
"learning_rate": 2.6653888888888894e-06,
|
1445 |
+
"loss": 1.0173,
|
1446 |
+
"step": 96000
|
1447 |
+
},
|
1448 |
+
{
|
1449 |
+
"epoch": 3.91,
|
1450 |
+
"eval_accuracy": 0.5053892215568863,
|
1451 |
+
"eval_loss": 0.9848083257675171,
|
1452 |
+
"eval_runtime": 12.5421,
|
1453 |
+
"eval_samples_per_second": 399.456,
|
1454 |
+
"eval_steps_per_second": 49.992,
|
1455 |
+
"step": 96000
|
1456 |
+
},
|
1457 |
+
{
|
1458 |
+
"epoch": 3.95,
|
1459 |
+
"learning_rate": 2.6931388888888892e-06,
|
1460 |
+
"loss": 1.0159,
|
1461 |
+
"step": 97000
|
1462 |
+
},
|
1463 |
+
{
|
1464 |
+
"epoch": 3.95,
|
1465 |
+
"eval_accuracy": 0.5051896207584831,
|
1466 |
+
"eval_loss": 0.9930784702301025,
|
1467 |
+
"eval_runtime": 12.6498,
|
1468 |
+
"eval_samples_per_second": 396.054,
|
1469 |
+
"eval_steps_per_second": 49.566,
|
1470 |
+
"step": 97000
|
1471 |
+
},
|
1472 |
+
{
|
1473 |
+
"epoch": 3.99,
|
1474 |
+
"learning_rate": 2.7209166666666668e-06,
|
1475 |
+
"loss": 1.0126,
|
1476 |
+
"step": 98000
|
1477 |
+
},
|
1478 |
+
{
|
1479 |
+
"epoch": 3.99,
|
1480 |
+
"eval_accuracy": 0.5037924151696607,
|
1481 |
+
"eval_loss": 0.9865526556968689,
|
1482 |
+
"eval_runtime": 12.4969,
|
1483 |
+
"eval_samples_per_second": 400.899,
|
1484 |
+
"eval_steps_per_second": 50.172,
|
1485 |
+
"step": 98000
|
1486 |
+
},
|
1487 |
+
{
|
1488 |
+
"epoch": 4.03,
|
1489 |
+
"learning_rate": 2.7486666666666666e-06,
|
1490 |
+
"loss": 1.0129,
|
1491 |
+
"step": 99000
|
1492 |
+
},
|
1493 |
+
{
|
1494 |
+
"epoch": 4.03,
|
1495 |
+
"eval_accuracy": 0.5073852295409181,
|
1496 |
+
"eval_loss": 0.9890230298042297,
|
1497 |
+
"eval_runtime": 12.7759,
|
1498 |
+
"eval_samples_per_second": 392.143,
|
1499 |
+
"eval_steps_per_second": 49.077,
|
1500 |
+
"step": 99000
|
1501 |
+
},
|
1502 |
+
{
|
1503 |
+
"epoch": 4.07,
|
1504 |
+
"learning_rate": 2.7764444444444446e-06,
|
1505 |
+
"loss": 1.0145,
|
1506 |
+
"step": 100000
|
1507 |
+
},
|
1508 |
+
{
|
1509 |
+
"epoch": 4.07,
|
1510 |
+
"eval_accuracy": 0.506187624750499,
|
1511 |
+
"eval_loss": 0.9834555387496948,
|
1512 |
+
"eval_runtime": 12.6734,
|
1513 |
+
"eval_samples_per_second": 395.316,
|
1514 |
+
"eval_steps_per_second": 49.474,
|
1515 |
+
"step": 100000
|
1516 |
+
},
|
1517 |
+
{
|
1518 |
+
"epoch": 4.12,
|
1519 |
+
"learning_rate": 2.804194444444445e-06,
|
1520 |
+
"loss": 1.0164,
|
1521 |
+
"step": 101000
|
1522 |
+
},
|
1523 |
+
{
|
1524 |
+
"epoch": 4.12,
|
1525 |
+
"eval_accuracy": 0.5081836327345309,
|
1526 |
+
"eval_loss": 0.9881391525268555,
|
1527 |
+
"eval_runtime": 12.4161,
|
1528 |
+
"eval_samples_per_second": 403.509,
|
1529 |
+
"eval_steps_per_second": 50.499,
|
1530 |
+
"step": 101000
|
1531 |
+
},
|
1532 |
+
{
|
1533 |
+
"epoch": 4.16,
|
1534 |
+
"learning_rate": 2.8319722222222225e-06,
|
1535 |
+
"loss": 1.0131,
|
1536 |
+
"step": 102000
|
1537 |
+
},
|
1538 |
+
{
|
1539 |
+
"epoch": 4.16,
|
1540 |
+
"eval_accuracy": 0.5007984031936128,
|
1541 |
+
"eval_loss": 0.9866752624511719,
|
1542 |
+
"eval_runtime": 12.6211,
|
1543 |
+
"eval_samples_per_second": 396.953,
|
1544 |
+
"eval_steps_per_second": 49.679,
|
1545 |
+
"step": 102000
|
1546 |
+
},
|
1547 |
+
{
|
1548 |
+
"epoch": 4.2,
|
1549 |
+
"learning_rate": 2.8597222222222223e-06,
|
1550 |
+
"loss": 1.0172,
|
1551 |
+
"step": 103000
|
1552 |
+
},
|
1553 |
+
{
|
1554 |
+
"epoch": 4.2,
|
1555 |
+
"eval_accuracy": 0.5117764471057884,
|
1556 |
+
"eval_loss": 0.9857889413833618,
|
1557 |
+
"eval_runtime": 12.4246,
|
1558 |
+
"eval_samples_per_second": 403.233,
|
1559 |
+
"eval_steps_per_second": 50.464,
|
1560 |
+
"step": 103000
|
1561 |
+
},
|
1562 |
+
{
|
1563 |
+
"epoch": 4.24,
|
1564 |
+
"learning_rate": 2.8875000000000003e-06,
|
1565 |
+
"loss": 1.0118,
|
1566 |
+
"step": 104000
|
1567 |
+
},
|
1568 |
+
{
|
1569 |
+
"epoch": 4.24,
|
1570 |
+
"eval_accuracy": 0.501996007984032,
|
1571 |
+
"eval_loss": 0.9917896389961243,
|
1572 |
+
"eval_runtime": 12.7707,
|
1573 |
+
"eval_samples_per_second": 392.304,
|
1574 |
+
"eval_steps_per_second": 49.097,
|
1575 |
+
"step": 104000
|
1576 |
+
},
|
1577 |
+
{
|
1578 |
+
"epoch": 4.28,
|
1579 |
+
"learning_rate": 2.91525e-06,
|
1580 |
+
"loss": 1.0082,
|
1581 |
+
"step": 105000
|
1582 |
+
},
|
1583 |
+
{
|
1584 |
+
"epoch": 4.28,
|
1585 |
+
"eval_accuracy": 0.4940119760479042,
|
1586 |
+
"eval_loss": 1.0039118528366089,
|
1587 |
+
"eval_runtime": 12.7128,
|
1588 |
+
"eval_samples_per_second": 394.092,
|
1589 |
+
"eval_steps_per_second": 49.32,
|
1590 |
+
"step": 105000
|
1591 |
+
},
|
1592 |
+
{
|
1593 |
+
"epoch": 4.32,
|
1594 |
+
"learning_rate": 2.9430277777777777e-06,
|
1595 |
+
"loss": 1.006,
|
1596 |
+
"step": 106000
|
1597 |
+
},
|
1598 |
+
{
|
1599 |
+
"epoch": 4.32,
|
1600 |
+
"eval_accuracy": 0.5023952095808383,
|
1601 |
+
"eval_loss": 0.9883149862289429,
|
1602 |
+
"eval_runtime": 12.7217,
|
1603 |
+
"eval_samples_per_second": 393.814,
|
1604 |
+
"eval_steps_per_second": 49.286,
|
1605 |
+
"step": 106000
|
1606 |
+
},
|
1607 |
+
{
|
1608 |
+
"epoch": 4.36,
|
1609 |
+
"learning_rate": 2.970777777777778e-06,
|
1610 |
+
"loss": 1.008,
|
1611 |
+
"step": 107000
|
1612 |
+
},
|
1613 |
+
{
|
1614 |
+
"epoch": 4.36,
|
1615 |
+
"eval_accuracy": 0.5023952095808383,
|
1616 |
+
"eval_loss": 0.9926295876502991,
|
1617 |
+
"eval_runtime": 12.4187,
|
1618 |
+
"eval_samples_per_second": 403.424,
|
1619 |
+
"eval_steps_per_second": 50.488,
|
1620 |
+
"step": 107000
|
1621 |
+
},
|
1622 |
+
{
|
1623 |
+
"epoch": 4.4,
|
1624 |
+
"learning_rate": 2.998555555555556e-06,
|
1625 |
+
"loss": 1.0078,
|
1626 |
+
"step": 108000
|
1627 |
+
},
|
1628 |
+
{
|
1629 |
+
"epoch": 4.4,
|
1630 |
+
"eval_accuracy": 0.5069860279441117,
|
1631 |
+
"eval_loss": 0.9883684515953064,
|
1632 |
+
"eval_runtime": 12.4562,
|
1633 |
+
"eval_samples_per_second": 402.21,
|
1634 |
+
"eval_steps_per_second": 50.336,
|
1635 |
+
"step": 108000
|
1636 |
+
},
|
1637 |
+
{
|
1638 |
+
"epoch": 4.44,
|
1639 |
+
"learning_rate": 3.026305555555556e-06,
|
1640 |
+
"loss": 1.0052,
|
1641 |
+
"step": 109000
|
1642 |
+
},
|
1643 |
+
{
|
1644 |
+
"epoch": 4.44,
|
1645 |
+
"eval_accuracy": 0.5083832335329341,
|
1646 |
+
"eval_loss": 0.9893190264701843,
|
1647 |
+
"eval_runtime": 12.4193,
|
1648 |
+
"eval_samples_per_second": 403.404,
|
1649 |
+
"eval_steps_per_second": 50.486,
|
1650 |
+
"step": 109000
|
1651 |
+
},
|
1652 |
+
{
|
1653 |
+
"epoch": 4.48,
|
1654 |
+
"learning_rate": 3.0540833333333334e-06,
|
1655 |
+
"loss": 1.0102,
|
1656 |
+
"step": 110000
|
1657 |
+
},
|
1658 |
+
{
|
1659 |
+
"epoch": 4.48,
|
1660 |
+
"eval_accuracy": 0.5059880239520959,
|
1661 |
+
"eval_loss": 0.9876956939697266,
|
1662 |
+
"eval_runtime": 12.7204,
|
1663 |
+
"eval_samples_per_second": 393.854,
|
1664 |
+
"eval_steps_per_second": 49.291,
|
1665 |
+
"step": 110000
|
1666 |
+
},
|
1667 |
+
{
|
1668 |
+
"epoch": 4.52,
|
1669 |
+
"learning_rate": 3.0818333333333333e-06,
|
1670 |
+
"loss": 1.004,
|
1671 |
+
"step": 111000
|
1672 |
+
},
|
1673 |
+
{
|
1674 |
+
"epoch": 4.52,
|
1675 |
+
"eval_accuracy": 0.5099800399201597,
|
1676 |
+
"eval_loss": 0.9822403788566589,
|
1677 |
+
"eval_runtime": 12.7671,
|
1678 |
+
"eval_samples_per_second": 392.416,
|
1679 |
+
"eval_steps_per_second": 49.111,
|
1680 |
+
"step": 111000
|
1681 |
+
},
|
1682 |
+
{
|
1683 |
+
"epoch": 4.56,
|
1684 |
+
"learning_rate": 3.1096111111111113e-06,
|
1685 |
+
"loss": 1.016,
|
1686 |
+
"step": 112000
|
1687 |
+
},
|
1688 |
+
{
|
1689 |
+
"epoch": 4.56,
|
1690 |
+
"eval_accuracy": 0.5075848303393213,
|
1691 |
+
"eval_loss": 0.9813176393508911,
|
1692 |
+
"eval_runtime": 12.5425,
|
1693 |
+
"eval_samples_per_second": 399.442,
|
1694 |
+
"eval_steps_per_second": 49.99,
|
1695 |
+
"step": 112000
|
1696 |
+
},
|
1697 |
+
{
|
1698 |
+
"epoch": 4.6,
|
1699 |
+
"learning_rate": 3.137361111111111e-06,
|
1700 |
+
"loss": 1.0024,
|
1701 |
+
"step": 113000
|
1702 |
+
},
|
1703 |
+
{
|
1704 |
+
"epoch": 4.6,
|
1705 |
+
"eval_accuracy": 0.5,
|
1706 |
+
"eval_loss": 0.9851263165473938,
|
1707 |
+
"eval_runtime": 12.718,
|
1708 |
+
"eval_samples_per_second": 393.931,
|
1709 |
+
"eval_steps_per_second": 49.3,
|
1710 |
+
"step": 113000
|
1711 |
+
},
|
1712 |
+
{
|
1713 |
+
"epoch": 4.64,
|
1714 |
+
"learning_rate": 3.165138888888889e-06,
|
1715 |
+
"loss": 1.0096,
|
1716 |
+
"step": 114000
|
1717 |
+
},
|
1718 |
+
{
|
1719 |
+
"epoch": 4.64,
|
1720 |
+
"eval_accuracy": 0.5101796407185629,
|
1721 |
+
"eval_loss": 0.9791144132614136,
|
1722 |
+
"eval_runtime": 12.4876,
|
1723 |
+
"eval_samples_per_second": 401.199,
|
1724 |
+
"eval_steps_per_second": 50.21,
|
1725 |
+
"step": 114000
|
1726 |
+
},
|
1727 |
+
{
|
1728 |
+
"epoch": 4.69,
|
1729 |
+
"learning_rate": 3.192888888888889e-06,
|
1730 |
+
"loss": 1.0111,
|
1731 |
+
"step": 115000
|
1732 |
+
},
|
1733 |
+
{
|
1734 |
+
"epoch": 4.69,
|
1735 |
+
"eval_accuracy": 0.5131736526946108,
|
1736 |
+
"eval_loss": 0.9794335961341858,
|
1737 |
+
"eval_runtime": 12.6803,
|
1738 |
+
"eval_samples_per_second": 395.101,
|
1739 |
+
"eval_steps_per_second": 49.447,
|
1740 |
+
"step": 115000
|
1741 |
+
},
|
1742 |
+
{
|
1743 |
+
"epoch": 4.73,
|
1744 |
+
"learning_rate": 3.220666666666667e-06,
|
1745 |
+
"loss": 1.005,
|
1746 |
+
"step": 116000
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 4.73,
|
1750 |
+
"eval_accuracy": 0.506187624750499,
|
1751 |
+
"eval_loss": 0.9822920560836792,
|
1752 |
+
"eval_runtime": 12.7349,
|
1753 |
+
"eval_samples_per_second": 393.408,
|
1754 |
+
"eval_steps_per_second": 49.235,
|
1755 |
+
"step": 116000
|
1756 |
+
},
|
1757 |
+
{
|
1758 |
+
"epoch": 4.77,
|
1759 |
+
"learning_rate": 3.248416666666667e-06,
|
1760 |
+
"loss": 1.0116,
|
1761 |
+
"step": 117000
|
1762 |
+
},
|
1763 |
+
{
|
1764 |
+
"epoch": 4.77,
|
1765 |
+
"eval_accuracy": 0.5073852295409181,
|
1766 |
+
"eval_loss": 0.9905573725700378,
|
1767 |
+
"eval_runtime": 12.5859,
|
1768 |
+
"eval_samples_per_second": 398.064,
|
1769 |
+
"eval_steps_per_second": 49.818,
|
1770 |
+
"step": 117000
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 4.81,
|
1774 |
+
"learning_rate": 3.276194444444445e-06,
|
1775 |
+
"loss": 1.0108,
|
1776 |
+
"step": 118000
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 4.81,
|
1780 |
+
"eval_accuracy": 0.5121756487025948,
|
1781 |
+
"eval_loss": 0.9814850687980652,
|
1782 |
+
"eval_runtime": 12.5991,
|
1783 |
+
"eval_samples_per_second": 397.649,
|
1784 |
+
"eval_steps_per_second": 49.766,
|
1785 |
+
"step": 118000
|
1786 |
+
},
|
1787 |
+
{
|
1788 |
+
"epoch": 4.85,
|
1789 |
+
"learning_rate": 3.303944444444445e-06,
|
1790 |
+
"loss": 1.0059,
|
1791 |
+
"step": 119000
|
1792 |
+
},
|
1793 |
+
{
|
1794 |
+
"epoch": 4.85,
|
1795 |
+
"eval_accuracy": 0.5135728542914172,
|
1796 |
+
"eval_loss": 0.9780199527740479,
|
1797 |
+
"eval_runtime": 12.4558,
|
1798 |
+
"eval_samples_per_second": 402.221,
|
1799 |
+
"eval_steps_per_second": 50.338,
|
1800 |
+
"step": 119000
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 4.89,
|
1804 |
+
"learning_rate": 3.331722222222222e-06,
|
1805 |
+
"loss": 1.0135,
|
1806 |
+
"step": 120000
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 4.89,
|
1810 |
+
"eval_accuracy": 0.5039920159680639,
|
1811 |
+
"eval_loss": 0.9968580603599548,
|
1812 |
+
"eval_runtime": 12.6517,
|
1813 |
+
"eval_samples_per_second": 395.994,
|
1814 |
+
"eval_steps_per_second": 49.558,
|
1815 |
+
"step": 120000
|
1816 |
+
},
|
1817 |
+
{
|
1818 |
+
"epoch": 4.93,
|
1819 |
+
"learning_rate": 3.3595e-06,
|
1820 |
+
"loss": 1.0023,
|
1821 |
+
"step": 121000
|
1822 |
+
},
|
1823 |
+
{
|
1824 |
+
"epoch": 4.93,
|
1825 |
+
"eval_accuracy": 0.512375249500998,
|
1826 |
+
"eval_loss": 0.9820229411125183,
|
1827 |
+
"eval_runtime": 12.6842,
|
1828 |
+
"eval_samples_per_second": 394.979,
|
1829 |
+
"eval_steps_per_second": 49.431,
|
1830 |
+
"step": 121000
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 4.97,
|
1834 |
+
"learning_rate": 3.38725e-06,
|
1835 |
+
"loss": 1.0085,
|
1836 |
+
"step": 122000
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 4.97,
|
1840 |
+
"eval_accuracy": 0.5117764471057884,
|
1841 |
+
"eval_loss": 0.9823063611984253,
|
1842 |
+
"eval_runtime": 12.7386,
|
1843 |
+
"eval_samples_per_second": 393.293,
|
1844 |
+
"eval_steps_per_second": 49.22,
|
1845 |
+
"step": 122000
|
1846 |
+
},
|
1847 |
+
{
|
1848 |
+
"epoch": 5.01,
|
1849 |
+
"learning_rate": 3.415027777777778e-06,
|
1850 |
+
"loss": 1.0076,
|
1851 |
+
"step": 123000
|
1852 |
+
},
|
1853 |
+
{
|
1854 |
+
"epoch": 5.01,
|
1855 |
+
"eval_accuracy": 0.500998003992016,
|
1856 |
+
"eval_loss": 0.9879907369613647,
|
1857 |
+
"eval_runtime": 12.4926,
|
1858 |
+
"eval_samples_per_second": 401.037,
|
1859 |
+
"eval_steps_per_second": 50.19,
|
1860 |
+
"step": 123000
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 5.05,
|
1864 |
+
"learning_rate": 3.442777777777778e-06,
|
1865 |
+
"loss": 1.0005,
|
1866 |
+
"step": 124000
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 5.05,
|
1870 |
+
"eval_accuracy": 0.5093812375249501,
|
1871 |
+
"eval_loss": 0.9808560609817505,
|
1872 |
+
"eval_runtime": 12.4952,
|
1873 |
+
"eval_samples_per_second": 400.955,
|
1874 |
+
"eval_steps_per_second": 50.179,
|
1875 |
+
"step": 124000
|
1876 |
+
},
|
1877 |
+
{
|
1878 |
+
"epoch": 5.09,
|
1879 |
+
"learning_rate": 3.470555555555556e-06,
|
1880 |
+
"loss": 1.0048,
|
1881 |
+
"step": 125000
|
1882 |
+
},
|
1883 |
+
{
|
1884 |
+
"epoch": 5.09,
|
1885 |
+
"eval_accuracy": 0.5099800399201597,
|
1886 |
+
"eval_loss": 0.981860876083374,
|
1887 |
+
"eval_runtime": 12.4425,
|
1888 |
+
"eval_samples_per_second": 402.652,
|
1889 |
+
"eval_steps_per_second": 50.392,
|
1890 |
+
"step": 125000
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 5.13,
|
1894 |
+
"learning_rate": 3.4983333333333334e-06,
|
1895 |
+
"loss": 1.0049,
|
1896 |
+
"step": 126000
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 5.13,
|
1900 |
+
"eval_accuracy": 0.5105788423153692,
|
1901 |
+
"eval_loss": 0.9849931001663208,
|
1902 |
+
"eval_runtime": 12.6135,
|
1903 |
+
"eval_samples_per_second": 397.192,
|
1904 |
+
"eval_steps_per_second": 49.708,
|
1905 |
+
"step": 126000
|
1906 |
+
},
|
1907 |
+
{
|
1908 |
+
"epoch": 5.17,
|
1909 |
+
"learning_rate": 3.5261111111111114e-06,
|
1910 |
+
"loss": 1.0056,
|
1911 |
+
"step": 127000
|
1912 |
+
},
|
1913 |
+
{
|
1914 |
+
"epoch": 5.17,
|
1915 |
+
"eval_accuracy": 0.5049900199600799,
|
1916 |
+
"eval_loss": 0.9838124513626099,
|
1917 |
+
"eval_runtime": 12.4113,
|
1918 |
+
"eval_samples_per_second": 403.663,
|
1919 |
+
"eval_steps_per_second": 50.518,
|
1920 |
+
"step": 127000
|
1921 |
+
},
|
1922 |
+
{
|
1923 |
+
"epoch": 5.22,
|
1924 |
+
"learning_rate": 3.5538611111111113e-06,
|
1925 |
+
"loss": 0.9995,
|
1926 |
+
"step": 128000
|
1927 |
+
},
|
1928 |
+
{
|
1929 |
+
"epoch": 5.22,
|
1930 |
+
"eval_accuracy": 0.5099800399201597,
|
1931 |
+
"eval_loss": 0.9798722863197327,
|
1932 |
+
"eval_runtime": 12.3902,
|
1933 |
+
"eval_samples_per_second": 404.351,
|
1934 |
+
"eval_steps_per_second": 50.604,
|
1935 |
+
"step": 128000
|
1936 |
+
},
|
1937 |
+
{
|
1938 |
+
"epoch": 5.26,
|
1939 |
+
"learning_rate": 3.5816388888888893e-06,
|
1940 |
+
"loss": 1.003,
|
1941 |
+
"step": 129000
|
1942 |
+
},
|
1943 |
+
{
|
1944 |
+
"epoch": 5.26,
|
1945 |
+
"eval_accuracy": 0.5055888223552895,
|
1946 |
+
"eval_loss": 0.9836646914482117,
|
1947 |
+
"eval_runtime": 12.3384,
|
1948 |
+
"eval_samples_per_second": 406.05,
|
1949 |
+
"eval_steps_per_second": 50.817,
|
1950 |
+
"step": 129000
|
1951 |
+
},
|
1952 |
+
{
|
1953 |
+
"epoch": 5.3,
|
1954 |
+
"learning_rate": 3.609388888888889e-06,
|
1955 |
+
"loss": 0.9956,
|
1956 |
+
"step": 130000
|
1957 |
+
},
|
1958 |
+
{
|
1959 |
+
"epoch": 5.3,
|
1960 |
+
"eval_accuracy": 0.5079840319361277,
|
1961 |
+
"eval_loss": 0.9859731793403625,
|
1962 |
+
"eval_runtime": 12.6442,
|
1963 |
+
"eval_samples_per_second": 396.23,
|
1964 |
+
"eval_steps_per_second": 49.588,
|
1965 |
+
"step": 130000
|
1966 |
+
},
|
1967 |
+
{
|
1968 |
+
"epoch": 5.34,
|
1969 |
+
"learning_rate": 3.6371666666666667e-06,
|
1970 |
+
"loss": 0.9989,
|
1971 |
+
"step": 131000
|
1972 |
+
},
|
1973 |
+
{
|
1974 |
+
"epoch": 5.34,
|
1975 |
+
"eval_accuracy": 0.5121756487025948,
|
1976 |
+
"eval_loss": 0.9777482151985168,
|
1977 |
+
"eval_runtime": 12.5026,
|
1978 |
+
"eval_samples_per_second": 400.716,
|
1979 |
+
"eval_steps_per_second": 50.149,
|
1980 |
+
"step": 131000
|
1981 |
+
},
|
1982 |
+
{
|
1983 |
+
"epoch": 5.38,
|
1984 |
+
"learning_rate": 3.6649166666666665e-06,
|
1985 |
+
"loss": 0.9992,
|
1986 |
+
"step": 132000
|
1987 |
+
},
|
1988 |
+
{
|
1989 |
+
"epoch": 5.38,
|
1990 |
+
"eval_accuracy": 0.5131736526946108,
|
1991 |
+
"eval_loss": 0.9786902666091919,
|
1992 |
+
"eval_runtime": 12.4113,
|
1993 |
+
"eval_samples_per_second": 403.664,
|
1994 |
+
"eval_steps_per_second": 50.518,
|
1995 |
+
"step": 132000
|
1996 |
+
},
|
1997 |
+
{
|
1998 |
+
"epoch": 5.42,
|
1999 |
+
"learning_rate": 3.6926666666666673e-06,
|
2000 |
+
"loss": 1.0033,
|
2001 |
+
"step": 133000
|
2002 |
+
},
|
2003 |
+
{
|
2004 |
+
"epoch": 5.42,
|
2005 |
+
"eval_accuracy": 0.5103792415169661,
|
2006 |
+
"eval_loss": 0.9823509454727173,
|
2007 |
+
"eval_runtime": 12.3681,
|
2008 |
+
"eval_samples_per_second": 405.073,
|
2009 |
+
"eval_steps_per_second": 50.695,
|
2010 |
+
"step": 133000
|
2011 |
+
},
|
2012 |
+
{
|
2013 |
+
"epoch": 5.46,
|
2014 |
+
"learning_rate": 3.7204444444444444e-06,
|
2015 |
+
"loss": 1.001,
|
2016 |
+
"step": 134000
|
2017 |
+
},
|
2018 |
+
{
|
2019 |
+
"epoch": 5.46,
|
2020 |
+
"eval_accuracy": 0.5055888223552895,
|
2021 |
+
"eval_loss": 0.980103075504303,
|
2022 |
+
"eval_runtime": 12.658,
|
2023 |
+
"eval_samples_per_second": 395.796,
|
2024 |
+
"eval_steps_per_second": 49.534,
|
2025 |
+
"step": 134000
|
2026 |
+
},
|
2027 |
+
{
|
2028 |
+
"epoch": 5.5,
|
2029 |
+
"learning_rate": 3.7482222222222224e-06,
|
2030 |
+
"loss": 1.0074,
|
2031 |
+
"step": 135000
|
2032 |
+
},
|
2033 |
+
{
|
2034 |
+
"epoch": 5.5,
|
2035 |
+
"eval_accuracy": 0.5067864271457085,
|
2036 |
+
"eval_loss": 0.9919066429138184,
|
2037 |
+
"eval_runtime": 12.669,
|
2038 |
+
"eval_samples_per_second": 395.452,
|
2039 |
+
"eval_steps_per_second": 49.491,
|
2040 |
+
"step": 135000
|
2041 |
+
},
|
2042 |
+
{
|
2043 |
+
"epoch": 5.54,
|
2044 |
+
"learning_rate": 3.7760000000000004e-06,
|
2045 |
+
"loss": 1.0056,
|
2046 |
+
"step": 136000
|
2047 |
+
},
|
2048 |
+
{
|
2049 |
+
"epoch": 5.54,
|
2050 |
+
"eval_accuracy": 0.5117764471057884,
|
2051 |
+
"eval_loss": 0.9795469641685486,
|
2052 |
+
"eval_runtime": 12.3923,
|
2053 |
+
"eval_samples_per_second": 404.284,
|
2054 |
+
"eval_steps_per_second": 50.596,
|
2055 |
+
"step": 136000
|
2056 |
+
},
|
2057 |
+
{
|
2058 |
+
"epoch": 5.58,
|
2059 |
+
"learning_rate": 3.8037500000000002e-06,
|
2060 |
+
"loss": 1.0029,
|
2061 |
+
"step": 137000
|
2062 |
+
},
|
2063 |
+
{
|
2064 |
+
"epoch": 5.58,
|
2065 |
+
"eval_accuracy": 0.5101796407185629,
|
2066 |
+
"eval_loss": 0.9805279970169067,
|
2067 |
+
"eval_runtime": 12.4005,
|
2068 |
+
"eval_samples_per_second": 404.015,
|
2069 |
+
"eval_steps_per_second": 50.562,
|
2070 |
+
"step": 137000
|
2071 |
+
},
|
2072 |
+
{
|
2073 |
+
"epoch": 5.62,
|
2074 |
+
"learning_rate": 3.831527777777778e-06,
|
2075 |
+
"loss": 1.0018,
|
2076 |
+
"step": 138000
|
2077 |
+
},
|
2078 |
+
{
|
2079 |
+
"epoch": 5.62,
|
2080 |
+
"eval_accuracy": 0.5015968063872256,
|
2081 |
+
"eval_loss": 0.9934979677200317,
|
2082 |
+
"eval_runtime": 12.6438,
|
2083 |
+
"eval_samples_per_second": 396.24,
|
2084 |
+
"eval_steps_per_second": 49.589,
|
2085 |
+
"step": 138000
|
2086 |
+
},
|
2087 |
+
{
|
2088 |
+
"epoch": 5.66,
|
2089 |
+
"learning_rate": 3.859277777777778e-06,
|
2090 |
+
"loss": 0.9985,
|
2091 |
+
"step": 139000
|
2092 |
+
},
|
2093 |
+
{
|
2094 |
+
"epoch": 5.66,
|
2095 |
+
"eval_accuracy": 0.5083832335329341,
|
2096 |
+
"eval_loss": 0.984520435333252,
|
2097 |
+
"eval_runtime": 12.6399,
|
2098 |
+
"eval_samples_per_second": 396.364,
|
2099 |
+
"eval_steps_per_second": 49.605,
|
2100 |
+
"step": 139000
|
2101 |
+
},
|
2102 |
+
{
|
2103 |
+
"epoch": 5.7,
|
2104 |
+
"learning_rate": 3.887055555555556e-06,
|
2105 |
+
"loss": 1.0007,
|
2106 |
+
"step": 140000
|
2107 |
+
},
|
2108 |
+
{
|
2109 |
+
"epoch": 5.7,
|
2110 |
+
"eval_accuracy": 0.5037924151696607,
|
2111 |
+
"eval_loss": 0.9855640530586243,
|
2112 |
+
"eval_runtime": 12.4087,
|
2113 |
+
"eval_samples_per_second": 403.748,
|
2114 |
+
"eval_steps_per_second": 50.529,
|
2115 |
+
"step": 140000
|
2116 |
+
},
|
2117 |
+
{
|
2118 |
+
"epoch": 5.74,
|
2119 |
+
"learning_rate": 3.9148055555555555e-06,
|
2120 |
+
"loss": 1.0037,
|
2121 |
+
"step": 141000
|
2122 |
+
},
|
2123 |
+
{
|
2124 |
+
"epoch": 5.74,
|
2125 |
+
"eval_accuracy": 0.5117764471057884,
|
2126 |
+
"eval_loss": 0.982020914554596,
|
2127 |
+
"eval_runtime": 12.3775,
|
2128 |
+
"eval_samples_per_second": 404.766,
|
2129 |
+
"eval_steps_per_second": 50.656,
|
2130 |
+
"step": 141000
|
2131 |
+
},
|
2132 |
+
{
|
2133 |
+
"epoch": 5.79,
|
2134 |
+
"learning_rate": 3.9425833333333335e-06,
|
2135 |
+
"loss": 1.0006,
|
2136 |
+
"step": 142000
|
2137 |
+
},
|
2138 |
+
{
|
2139 |
+
"epoch": 5.79,
|
2140 |
+
"eval_accuracy": 0.5105788423153692,
|
2141 |
+
"eval_loss": 0.9820439219474792,
|
2142 |
+
"eval_runtime": 12.5661,
|
2143 |
+
"eval_samples_per_second": 398.693,
|
2144 |
+
"eval_steps_per_second": 49.896,
|
2145 |
+
"step": 142000
|
2146 |
+
}
|
2147 |
+
],
|
2148 |
+
"logging_steps": 1000,
|
2149 |
+
"max_steps": 10000000,
|
2150 |
+
"num_train_epochs": 408,
|
2151 |
+
"save_steps": 1000,
|
2152 |
+
"total_flos": 4.947822071119872e+16,
|
2153 |
+
"trial_name": null,
|
2154 |
+
"trial_params": null
|
2155 |
+
}
|
checkpoint-142000/training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f48fd322744a41332d86e79cb68054df0053a36e9279c46ff138f13ef1aab365
|
3 |
+
size 4027
|
checkpoint-142000/vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|