add MT model
Browse files- all_results.json +22 -0
- config.json +38 -0
- eval_results.json +10 -0
- generated_predictions.txt +0 -0
- predict_results.json +9 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +1 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +3157 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
ADDED
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_bleu": 25.5276,
|
4 |
+
"eval_gen_len": 33.3556,
|
5 |
+
"eval_loss": 1.8099510669708252,
|
6 |
+
"eval_runtime": 150.9492,
|
7 |
+
"eval_samples": 540,
|
8 |
+
"eval_samples_per_second": 3.577,
|
9 |
+
"eval_steps_per_second": 0.358,
|
10 |
+
"predict_bleu": 26.6492,
|
11 |
+
"predict_gen_len": 32.318,
|
12 |
+
"predict_loss": 1.7428864240646362,
|
13 |
+
"predict_runtime": 422.0314,
|
14 |
+
"predict_samples": 1500,
|
15 |
+
"predict_samples_per_second": 3.554,
|
16 |
+
"predict_steps_per_second": 0.355,
|
17 |
+
"train_loss": 0.9857338986367055,
|
18 |
+
"train_runtime": 73080.7529,
|
19 |
+
"train_samples": 871299,
|
20 |
+
"train_samples_per_second": 35.767,
|
21 |
+
"train_steps_per_second": 3.577
|
22 |
+
}
|
config.json
ADDED
@@ -0,0 +1,38 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"_name_or_path": "facebook/m2m100_418M",
|
3 |
+
"activation_dropout": 0.0,
|
4 |
+
"activation_function": "relu",
|
5 |
+
"architectures": [
|
6 |
+
"M2M100ForConditionalGeneration"
|
7 |
+
],
|
8 |
+
"attention_dropout": 0.1,
|
9 |
+
"bos_token_id": 0,
|
10 |
+
"d_model": 1024,
|
11 |
+
"decoder_attention_heads": 16,
|
12 |
+
"decoder_ffn_dim": 4096,
|
13 |
+
"decoder_layerdrop": 0.05,
|
14 |
+
"decoder_layers": 12,
|
15 |
+
"decoder_start_token_id": 2,
|
16 |
+
"dropout": 0.1,
|
17 |
+
"early_stopping": true,
|
18 |
+
"encoder_attention_heads": 16,
|
19 |
+
"encoder_ffn_dim": 4096,
|
20 |
+
"encoder_layerdrop": 0.05,
|
21 |
+
"encoder_layers": 12,
|
22 |
+
"eos_token_id": 2,
|
23 |
+
"forced_bos_token_id": 128022,
|
24 |
+
"gradient_checkpointing": false,
|
25 |
+
"init_std": 0.02,
|
26 |
+
"is_encoder_decoder": true,
|
27 |
+
"max_length": 200,
|
28 |
+
"max_position_embeddings": 1024,
|
29 |
+
"model_type": "m2m_100",
|
30 |
+
"num_beams": 5,
|
31 |
+
"num_hidden_layers": 12,
|
32 |
+
"pad_token_id": 1,
|
33 |
+
"scale_embedding": true,
|
34 |
+
"torch_dtype": "float32",
|
35 |
+
"transformers_version": "4.10.3",
|
36 |
+
"use_cache": true,
|
37 |
+
"vocab_size": 128112
|
38 |
+
}
|
eval_results.json
ADDED
@@ -0,0 +1,10 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"eval_bleu": 25.5276,
|
4 |
+
"eval_gen_len": 33.3556,
|
5 |
+
"eval_loss": 1.8099510669708252,
|
6 |
+
"eval_runtime": 150.9492,
|
7 |
+
"eval_samples": 540,
|
8 |
+
"eval_samples_per_second": 3.577,
|
9 |
+
"eval_steps_per_second": 0.358
|
10 |
+
}
|
generated_predictions.txt
ADDED
The diff for this file is too large to render.
See raw diff
|
|
predict_results.json
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"predict_bleu": 26.6492,
|
3 |
+
"predict_gen_len": 32.318,
|
4 |
+
"predict_loss": 1.7428864240646362,
|
5 |
+
"predict_runtime": 422.0314,
|
6 |
+
"predict_samples": 1500,
|
7 |
+
"predict_samples_per_second": 3.554,
|
8 |
+
"predict_steps_per_second": 0.355
|
9 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:aeb1f932cbe8898c44a238b6bbf0ec42dbb03401067d2b64f047818739cd2bc0
|
3 |
+
size 1935792071
|
sentencepiece.bpe.model
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d8f7c76ed2a5e0822be39f0a4f95a55eb19c78f4593ce609e2edbc2aea4d380a
|
3 |
+
size 2423393
|
special_tokens_map.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "additional_special_tokens": ["__af__", "__am__", "__ar__", "__ast__", "__az__", "__ba__", "__be__", "__bg__", "__bn__", "__br__", "__bs__", "__ca__", "__ceb__", "__cs__", "__cy__", "__da__", "__de__", "__el__", "__en__", "__es__", "__et__", "__fa__", "__ff__", "__fi__", "__fr__", "__fy__", "__ga__", "__gd__", "__gl__", "__gu__", "__ha__", "__he__", "__hi__", "__hr__", "__ht__", "__hu__", "__hy__", "__id__", "__ig__", "__ilo__", "__is__", "__it__", "__ja__", "__jv__", "__ka__", "__kk__", "__km__", "__kn__", "__ko__", "__lb__", "__lg__", "__ln__", "__lo__", "__lt__", "__lv__", "__mg__", "__mk__", "__ml__", "__mn__", "__mr__", "__ms__", "__my__", "__ne__", "__nl__", "__no__", "__ns__", "__oc__", "__or__", "__pa__", "__pl__", "__ps__", "__pt__", "__ro__", "__ru__", "__sd__", "__si__", "__sk__", "__sl__", "__so__", "__sq__", "__sr__", "__ss__", "__su__", "__sv__", "__sw__", "__ta__", "__th__", "__tl__", "__tn__", "__tr__", "__uk__", "__ur__", "__uz__", "__vi__", "__wo__", "__xh__", "__yi__", "__yo__", "__zh__", "__zu__"]}
|
tokenizer_config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"src_lang": null, "tgt_lang": null, "bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "unk_token": "<unk>", "pad_token": "<pad>", "sp_model_kwargs": {}, "special_tokens_map_file": "m2m_100_1.2B_v2/special_tokens_map.json", "tokenizer_file": null, "name_or_path": "facebook/m2m100_418M", "model_max_length": 1024, "additional_special_tokens": ["__af__", "__am__", "__ar__", "__ast__", "__az__", "__ba__", "__be__", "__bg__", "__bn__", "__br__", "__bs__", "__ca__", "__ceb__", "__cs__", "__cy__", "__da__", "__de__", "__el__", "__en__", "__es__", "__et__", "__fa__", "__ff__", "__fi__", "__fr__", "__fy__", "__ga__", "__gd__", "__gl__", "__gu__", "__ha__", "__he__", "__hi__", "__hr__", "__ht__", "__hu__", "__hy__", "__id__", "__ig__", "__ilo__", "__is__", "__it__", "__ja__", "__jv__", "__ka__", "__kk__", "__km__", "__kn__", "__ko__", "__lb__", "__lg__", "__ln__", "__lo__", "__lt__", "__lv__", "__mg__", "__mk__", "__ml__", "__mn__", "__mr__", "__ms__", "__my__", "__ne__", "__nl__", "__no__", "__ns__", "__oc__", "__or__", "__pa__", "__pl__", "__ps__", "__pt__", "__ro__", "__ru__", "__sd__", "__si__", "__sk__", "__sl__", "__so__", "__sq__", "__sr__", "__ss__", "__su__", "__sv__", "__sw__", "__ta__", "__th__", "__tl__", "__tn__", "__tr__", "__uk__", "__ur__", "__uz__", "__vi__", "__wo__", "__xh__", "__yi__", "__yo__", "__zh__", "__zu__"], "tokenizer_class": "M2M100Tokenizer"}
|
train_results.json
ADDED
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"epoch": 3.0,
|
3 |
+
"train_loss": 0.9857338986367055,
|
4 |
+
"train_runtime": 73080.7529,
|
5 |
+
"train_samples": 871299,
|
6 |
+
"train_samples_per_second": 35.767,
|
7 |
+
"train_steps_per_second": 3.577
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,3157 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 261390,
|
6 |
+
"is_hyper_param_search": false,
|
7 |
+
"is_local_process_zero": true,
|
8 |
+
"is_world_process_zero": true,
|
9 |
+
"log_history": [
|
10 |
+
{
|
11 |
+
"epoch": 0.01,
|
12 |
+
"learning_rate": 4.990435747350702e-05,
|
13 |
+
"loss": 2.7399,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.01,
|
18 |
+
"learning_rate": 4.980871494701404e-05,
|
19 |
+
"loss": 2.1925,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.02,
|
24 |
+
"learning_rate": 4.971307242052106e-05,
|
25 |
+
"loss": 1.9923,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.02,
|
30 |
+
"learning_rate": 4.9617429894028086e-05,
|
31 |
+
"loss": 1.9085,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.03,
|
36 |
+
"learning_rate": 4.9521787367535106e-05,
|
37 |
+
"loss": 1.8605,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.03,
|
42 |
+
"learning_rate": 4.942614484104212e-05,
|
43 |
+
"loss": 1.7914,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.04,
|
48 |
+
"learning_rate": 4.9330502314549144e-05,
|
49 |
+
"loss": 1.7394,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.05,
|
54 |
+
"learning_rate": 4.9234859788056164e-05,
|
55 |
+
"loss": 1.7217,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.05,
|
60 |
+
"learning_rate": 4.913921726156318e-05,
|
61 |
+
"loss": 1.6862,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.06,
|
66 |
+
"learning_rate": 4.90435747350702e-05,
|
67 |
+
"loss": 1.6501,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.06,
|
72 |
+
"learning_rate": 4.894793220857722e-05,
|
73 |
+
"loss": 1.618,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.07,
|
78 |
+
"learning_rate": 4.885228968208425e-05,
|
79 |
+
"loss": 1.5957,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.07,
|
84 |
+
"learning_rate": 4.875664715559126e-05,
|
85 |
+
"loss": 1.5651,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.08,
|
90 |
+
"learning_rate": 4.8661004629098287e-05,
|
91 |
+
"loss": 1.5605,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.09,
|
96 |
+
"learning_rate": 4.8565362102605306e-05,
|
97 |
+
"loss": 1.5306,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.09,
|
102 |
+
"learning_rate": 4.8469719576112325e-05,
|
103 |
+
"loss": 1.5479,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.1,
|
108 |
+
"learning_rate": 4.8374077049619345e-05,
|
109 |
+
"loss": 1.4993,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.1,
|
114 |
+
"learning_rate": 4.8278434523126364e-05,
|
115 |
+
"loss": 1.5246,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.11,
|
120 |
+
"learning_rate": 4.818279199663338e-05,
|
121 |
+
"loss": 1.4854,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.11,
|
126 |
+
"learning_rate": 4.808714947014041e-05,
|
127 |
+
"loss": 1.4766,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.12,
|
132 |
+
"learning_rate": 4.799150694364742e-05,
|
133 |
+
"loss": 1.4782,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.13,
|
138 |
+
"learning_rate": 4.789586441715445e-05,
|
139 |
+
"loss": 1.4649,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.13,
|
144 |
+
"learning_rate": 4.780022189066147e-05,
|
145 |
+
"loss": 1.461,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.14,
|
150 |
+
"learning_rate": 4.7704579364168487e-05,
|
151 |
+
"loss": 1.4618,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.14,
|
156 |
+
"learning_rate": 4.7608936837675506e-05,
|
157 |
+
"loss": 1.437,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.15,
|
162 |
+
"learning_rate": 4.7513294311182525e-05,
|
163 |
+
"loss": 1.429,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.15,
|
168 |
+
"learning_rate": 4.741765178468955e-05,
|
169 |
+
"loss": 1.4249,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.16,
|
174 |
+
"learning_rate": 4.7322009258196564e-05,
|
175 |
+
"loss": 1.4216,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.17,
|
180 |
+
"learning_rate": 4.722636673170358e-05,
|
181 |
+
"loss": 1.3887,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.17,
|
186 |
+
"learning_rate": 4.713072420521061e-05,
|
187 |
+
"loss": 1.409,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.18,
|
192 |
+
"learning_rate": 4.703508167871763e-05,
|
193 |
+
"loss": 1.3975,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.18,
|
198 |
+
"learning_rate": 4.693943915222465e-05,
|
199 |
+
"loss": 1.4014,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.19,
|
204 |
+
"learning_rate": 4.684379662573167e-05,
|
205 |
+
"loss": 1.3665,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.2,
|
210 |
+
"learning_rate": 4.674815409923869e-05,
|
211 |
+
"loss": 1.3719,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.2,
|
216 |
+
"learning_rate": 4.6652511572745706e-05,
|
217 |
+
"loss": 1.3685,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.21,
|
222 |
+
"learning_rate": 4.6556869046252725e-05,
|
223 |
+
"loss": 1.3719,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.21,
|
228 |
+
"learning_rate": 4.646122651975975e-05,
|
229 |
+
"loss": 1.3583,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.22,
|
234 |
+
"learning_rate": 4.636558399326677e-05,
|
235 |
+
"loss": 1.3596,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.22,
|
240 |
+
"learning_rate": 4.626994146677378e-05,
|
241 |
+
"loss": 1.3409,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.23,
|
246 |
+
"learning_rate": 4.617429894028081e-05,
|
247 |
+
"loss": 1.3693,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.24,
|
252 |
+
"learning_rate": 4.607865641378783e-05,
|
253 |
+
"loss": 1.3519,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.24,
|
258 |
+
"learning_rate": 4.598301388729485e-05,
|
259 |
+
"loss": 1.3474,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.25,
|
264 |
+
"learning_rate": 4.588737136080187e-05,
|
265 |
+
"loss": 1.3305,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.25,
|
270 |
+
"learning_rate": 4.579172883430889e-05,
|
271 |
+
"loss": 1.3335,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.26,
|
276 |
+
"learning_rate": 4.569608630781591e-05,
|
277 |
+
"loss": 1.324,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.26,
|
282 |
+
"learning_rate": 4.560044378132293e-05,
|
283 |
+
"loss": 1.309,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.27,
|
288 |
+
"learning_rate": 4.550480125482995e-05,
|
289 |
+
"loss": 1.3019,
|
290 |
+
"step": 23500
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.28,
|
294 |
+
"learning_rate": 4.540915872833697e-05,
|
295 |
+
"loss": 1.2999,
|
296 |
+
"step": 24000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.28,
|
300 |
+
"learning_rate": 4.531351620184399e-05,
|
301 |
+
"loss": 1.3146,
|
302 |
+
"step": 24500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.29,
|
306 |
+
"learning_rate": 4.521787367535101e-05,
|
307 |
+
"loss": 1.2995,
|
308 |
+
"step": 25000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.29,
|
312 |
+
"learning_rate": 4.512223114885803e-05,
|
313 |
+
"loss": 1.2839,
|
314 |
+
"step": 25500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.3,
|
318 |
+
"learning_rate": 4.502658862236505e-05,
|
319 |
+
"loss": 1.3184,
|
320 |
+
"step": 26000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.3,
|
324 |
+
"learning_rate": 4.4930946095872074e-05,
|
325 |
+
"loss": 1.3031,
|
326 |
+
"step": 26500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.31,
|
330 |
+
"learning_rate": 4.483530356937909e-05,
|
331 |
+
"loss": 1.3199,
|
332 |
+
"step": 27000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.32,
|
336 |
+
"learning_rate": 4.473966104288611e-05,
|
337 |
+
"loss": 1.2845,
|
338 |
+
"step": 27500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.32,
|
342 |
+
"learning_rate": 4.464401851639313e-05,
|
343 |
+
"loss": 1.2821,
|
344 |
+
"step": 28000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.33,
|
348 |
+
"learning_rate": 4.454837598990015e-05,
|
349 |
+
"loss": 1.2603,
|
350 |
+
"step": 28500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.33,
|
354 |
+
"learning_rate": 4.445273346340717e-05,
|
355 |
+
"loss": 1.2723,
|
356 |
+
"step": 29000
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.34,
|
360 |
+
"learning_rate": 4.435709093691419e-05,
|
361 |
+
"loss": 1.27,
|
362 |
+
"step": 29500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.34,
|
366 |
+
"learning_rate": 4.4261448410421216e-05,
|
367 |
+
"loss": 1.2514,
|
368 |
+
"step": 30000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.35,
|
372 |
+
"learning_rate": 4.416580588392823e-05,
|
373 |
+
"loss": 1.2363,
|
374 |
+
"step": 30500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.36,
|
378 |
+
"learning_rate": 4.407016335743525e-05,
|
379 |
+
"loss": 1.2645,
|
380 |
+
"step": 31000
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.36,
|
384 |
+
"learning_rate": 4.3974520830942274e-05,
|
385 |
+
"loss": 1.2564,
|
386 |
+
"step": 31500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.37,
|
390 |
+
"learning_rate": 4.3878878304449294e-05,
|
391 |
+
"loss": 1.2799,
|
392 |
+
"step": 32000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.37,
|
396 |
+
"learning_rate": 4.378323577795631e-05,
|
397 |
+
"loss": 1.244,
|
398 |
+
"step": 32500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.38,
|
402 |
+
"learning_rate": 4.368759325146333e-05,
|
403 |
+
"loss": 1.2425,
|
404 |
+
"step": 33000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.38,
|
408 |
+
"learning_rate": 4.359195072497035e-05,
|
409 |
+
"loss": 1.2347,
|
410 |
+
"step": 33500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.39,
|
414 |
+
"learning_rate": 4.349630819847738e-05,
|
415 |
+
"loss": 1.2284,
|
416 |
+
"step": 34000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.4,
|
420 |
+
"learning_rate": 4.340066567198439e-05,
|
421 |
+
"loss": 1.2402,
|
422 |
+
"step": 34500
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.4,
|
426 |
+
"learning_rate": 4.3305023145491416e-05,
|
427 |
+
"loss": 1.2206,
|
428 |
+
"step": 35000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.41,
|
432 |
+
"learning_rate": 4.3209380618998436e-05,
|
433 |
+
"loss": 1.2239,
|
434 |
+
"step": 35500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.41,
|
438 |
+
"learning_rate": 4.311373809250545e-05,
|
439 |
+
"loss": 1.2436,
|
440 |
+
"step": 36000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.42,
|
444 |
+
"learning_rate": 4.3018095566012474e-05,
|
445 |
+
"loss": 1.2062,
|
446 |
+
"step": 36500
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.42,
|
450 |
+
"learning_rate": 4.2922453039519494e-05,
|
451 |
+
"loss": 1.2363,
|
452 |
+
"step": 37000
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.43,
|
456 |
+
"learning_rate": 4.282681051302651e-05,
|
457 |
+
"loss": 1.2323,
|
458 |
+
"step": 37500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.44,
|
462 |
+
"learning_rate": 4.273116798653353e-05,
|
463 |
+
"loss": 1.2228,
|
464 |
+
"step": 38000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.44,
|
468 |
+
"learning_rate": 4.263552546004055e-05,
|
469 |
+
"loss": 1.2277,
|
470 |
+
"step": 38500
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.45,
|
474 |
+
"learning_rate": 4.253988293354758e-05,
|
475 |
+
"loss": 1.2297,
|
476 |
+
"step": 39000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.45,
|
480 |
+
"learning_rate": 4.24442404070546e-05,
|
481 |
+
"loss": 1.2231,
|
482 |
+
"step": 39500
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.46,
|
486 |
+
"learning_rate": 4.2348597880561616e-05,
|
487 |
+
"loss": 1.2199,
|
488 |
+
"step": 40000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.46,
|
492 |
+
"learning_rate": 4.2252955354068636e-05,
|
493 |
+
"loss": 1.2224,
|
494 |
+
"step": 40500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.47,
|
498 |
+
"learning_rate": 4.2157312827575655e-05,
|
499 |
+
"loss": 1.1919,
|
500 |
+
"step": 41000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.48,
|
504 |
+
"learning_rate": 4.2061670301082674e-05,
|
505 |
+
"loss": 1.1953,
|
506 |
+
"step": 41500
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 0.48,
|
510 |
+
"learning_rate": 4.1966027774589694e-05,
|
511 |
+
"loss": 1.2127,
|
512 |
+
"step": 42000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 0.49,
|
516 |
+
"learning_rate": 4.187038524809671e-05,
|
517 |
+
"loss": 1.2071,
|
518 |
+
"step": 42500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 0.49,
|
522 |
+
"learning_rate": 4.177474272160374e-05,
|
523 |
+
"loss": 1.1869,
|
524 |
+
"step": 43000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 0.5,
|
528 |
+
"learning_rate": 4.167910019511075e-05,
|
529 |
+
"loss": 1.1954,
|
530 |
+
"step": 43500
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 0.5,
|
534 |
+
"learning_rate": 4.158345766861778e-05,
|
535 |
+
"loss": 1.2254,
|
536 |
+
"step": 44000
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 0.51,
|
540 |
+
"learning_rate": 4.14878151421248e-05,
|
541 |
+
"loss": 1.1943,
|
542 |
+
"step": 44500
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 0.52,
|
546 |
+
"learning_rate": 4.1392172615631816e-05,
|
547 |
+
"loss": 1.1864,
|
548 |
+
"step": 45000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 0.52,
|
552 |
+
"learning_rate": 4.1296530089138836e-05,
|
553 |
+
"loss": 1.1929,
|
554 |
+
"step": 45500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 0.53,
|
558 |
+
"learning_rate": 4.1200887562645855e-05,
|
559 |
+
"loss": 1.187,
|
560 |
+
"step": 46000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 0.53,
|
564 |
+
"learning_rate": 4.110524503615288e-05,
|
565 |
+
"loss": 1.17,
|
566 |
+
"step": 46500
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 0.54,
|
570 |
+
"learning_rate": 4.1009602509659894e-05,
|
571 |
+
"loss": 1.1931,
|
572 |
+
"step": 47000
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 0.55,
|
576 |
+
"learning_rate": 4.091395998316691e-05,
|
577 |
+
"loss": 1.1988,
|
578 |
+
"step": 47500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 0.55,
|
582 |
+
"learning_rate": 4.081831745667394e-05,
|
583 |
+
"loss": 1.2007,
|
584 |
+
"step": 48000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 0.56,
|
588 |
+
"learning_rate": 4.072267493018096e-05,
|
589 |
+
"loss": 1.1844,
|
590 |
+
"step": 48500
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 0.56,
|
594 |
+
"learning_rate": 4.062703240368798e-05,
|
595 |
+
"loss": 1.1685,
|
596 |
+
"step": 49000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 0.57,
|
600 |
+
"learning_rate": 4.0531389877195e-05,
|
601 |
+
"loss": 1.1781,
|
602 |
+
"step": 49500
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 0.57,
|
606 |
+
"learning_rate": 4.0435747350702016e-05,
|
607 |
+
"loss": 1.1566,
|
608 |
+
"step": 50000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 0.58,
|
612 |
+
"learning_rate": 4.034010482420904e-05,
|
613 |
+
"loss": 1.1747,
|
614 |
+
"step": 50500
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 0.59,
|
618 |
+
"learning_rate": 4.0244462297716055e-05,
|
619 |
+
"loss": 1.1879,
|
620 |
+
"step": 51000
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 0.59,
|
624 |
+
"learning_rate": 4.014881977122308e-05,
|
625 |
+
"loss": 1.161,
|
626 |
+
"step": 51500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 0.6,
|
630 |
+
"learning_rate": 4.00531772447301e-05,
|
631 |
+
"loss": 1.1593,
|
632 |
+
"step": 52000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 0.6,
|
636 |
+
"learning_rate": 3.995753471823711e-05,
|
637 |
+
"loss": 1.1584,
|
638 |
+
"step": 52500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 0.61,
|
642 |
+
"learning_rate": 3.986189219174414e-05,
|
643 |
+
"loss": 1.1743,
|
644 |
+
"step": 53000
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 0.61,
|
648 |
+
"learning_rate": 3.976624966525116e-05,
|
649 |
+
"loss": 1.1564,
|
650 |
+
"step": 53500
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 0.62,
|
654 |
+
"learning_rate": 3.967060713875818e-05,
|
655 |
+
"loss": 1.1662,
|
656 |
+
"step": 54000
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 0.63,
|
660 |
+
"learning_rate": 3.95749646122652e-05,
|
661 |
+
"loss": 1.1691,
|
662 |
+
"step": 54500
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 0.63,
|
666 |
+
"learning_rate": 3.9479322085772217e-05,
|
667 |
+
"loss": 1.1628,
|
668 |
+
"step": 55000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 0.64,
|
672 |
+
"learning_rate": 3.938367955927924e-05,
|
673 |
+
"loss": 1.1515,
|
674 |
+
"step": 55500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 0.64,
|
678 |
+
"learning_rate": 3.928803703278626e-05,
|
679 |
+
"loss": 1.1561,
|
680 |
+
"step": 56000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 0.65,
|
684 |
+
"learning_rate": 3.919239450629328e-05,
|
685 |
+
"loss": 1.1771,
|
686 |
+
"step": 56500
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 0.65,
|
690 |
+
"learning_rate": 3.90967519798003e-05,
|
691 |
+
"loss": 1.1506,
|
692 |
+
"step": 57000
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 0.66,
|
696 |
+
"learning_rate": 3.900110945330732e-05,
|
697 |
+
"loss": 1.1294,
|
698 |
+
"step": 57500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 0.67,
|
702 |
+
"learning_rate": 3.890546692681434e-05,
|
703 |
+
"loss": 1.1396,
|
704 |
+
"step": 58000
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 0.67,
|
708 |
+
"learning_rate": 3.880982440032136e-05,
|
709 |
+
"loss": 1.1377,
|
710 |
+
"step": 58500
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 0.68,
|
714 |
+
"learning_rate": 3.871418187382838e-05,
|
715 |
+
"loss": 1.1266,
|
716 |
+
"step": 59000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 0.68,
|
720 |
+
"learning_rate": 3.8618539347335404e-05,
|
721 |
+
"loss": 1.1561,
|
722 |
+
"step": 59500
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 0.69,
|
726 |
+
"learning_rate": 3.8522896820842417e-05,
|
727 |
+
"loss": 1.1461,
|
728 |
+
"step": 60000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 0.69,
|
732 |
+
"learning_rate": 3.842725429434944e-05,
|
733 |
+
"loss": 1.1404,
|
734 |
+
"step": 60500
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 0.7,
|
738 |
+
"learning_rate": 3.833161176785646e-05,
|
739 |
+
"loss": 1.1372,
|
740 |
+
"step": 61000
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 0.71,
|
744 |
+
"learning_rate": 3.823596924136348e-05,
|
745 |
+
"loss": 1.1424,
|
746 |
+
"step": 61500
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 0.71,
|
750 |
+
"learning_rate": 3.81403267148705e-05,
|
751 |
+
"loss": 1.1142,
|
752 |
+
"step": 62000
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 0.72,
|
756 |
+
"learning_rate": 3.804468418837752e-05,
|
757 |
+
"loss": 1.136,
|
758 |
+
"step": 62500
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 0.72,
|
762 |
+
"learning_rate": 3.7949041661884546e-05,
|
763 |
+
"loss": 1.1272,
|
764 |
+
"step": 63000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 0.73,
|
768 |
+
"learning_rate": 3.785339913539156e-05,
|
769 |
+
"loss": 1.1305,
|
770 |
+
"step": 63500
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 0.73,
|
774 |
+
"learning_rate": 3.775775660889858e-05,
|
775 |
+
"loss": 1.1445,
|
776 |
+
"step": 64000
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 0.74,
|
780 |
+
"learning_rate": 3.7662114082405604e-05,
|
781 |
+
"loss": 1.1253,
|
782 |
+
"step": 64500
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 0.75,
|
786 |
+
"learning_rate": 3.7566471555912623e-05,
|
787 |
+
"loss": 1.1431,
|
788 |
+
"step": 65000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 0.75,
|
792 |
+
"learning_rate": 3.747082902941964e-05,
|
793 |
+
"loss": 1.1177,
|
794 |
+
"step": 65500
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 0.76,
|
798 |
+
"learning_rate": 3.737518650292666e-05,
|
799 |
+
"loss": 1.1116,
|
800 |
+
"step": 66000
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 0.76,
|
804 |
+
"learning_rate": 3.727954397643368e-05,
|
805 |
+
"loss": 1.1188,
|
806 |
+
"step": 66500
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 0.77,
|
810 |
+
"learning_rate": 3.718390144994071e-05,
|
811 |
+
"loss": 1.1282,
|
812 |
+
"step": 67000
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 0.77,
|
816 |
+
"learning_rate": 3.708825892344772e-05,
|
817 |
+
"loss": 1.1238,
|
818 |
+
"step": 67500
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 0.78,
|
822 |
+
"learning_rate": 3.6992616396954746e-05,
|
823 |
+
"loss": 1.1184,
|
824 |
+
"step": 68000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 0.79,
|
828 |
+
"learning_rate": 3.6896973870461766e-05,
|
829 |
+
"loss": 1.1025,
|
830 |
+
"step": 68500
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 0.79,
|
834 |
+
"learning_rate": 3.6801331343968785e-05,
|
835 |
+
"loss": 1.1305,
|
836 |
+
"step": 69000
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 0.8,
|
840 |
+
"learning_rate": 3.6705688817475804e-05,
|
841 |
+
"loss": 1.1119,
|
842 |
+
"step": 69500
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 0.8,
|
846 |
+
"learning_rate": 3.6610046290982823e-05,
|
847 |
+
"loss": 1.1053,
|
848 |
+
"step": 70000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 0.81,
|
852 |
+
"learning_rate": 3.651440376448985e-05,
|
853 |
+
"loss": 1.1206,
|
854 |
+
"step": 70500
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 0.81,
|
858 |
+
"learning_rate": 3.641876123799686e-05,
|
859 |
+
"loss": 1.098,
|
860 |
+
"step": 71000
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 0.82,
|
864 |
+
"learning_rate": 3.632311871150388e-05,
|
865 |
+
"loss": 1.105,
|
866 |
+
"step": 71500
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 0.83,
|
870 |
+
"learning_rate": 3.622747618501091e-05,
|
871 |
+
"loss": 1.103,
|
872 |
+
"step": 72000
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 0.83,
|
876 |
+
"learning_rate": 3.613183365851793e-05,
|
877 |
+
"loss": 1.1052,
|
878 |
+
"step": 72500
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 0.84,
|
882 |
+
"learning_rate": 3.6036191132024946e-05,
|
883 |
+
"loss": 1.1197,
|
884 |
+
"step": 73000
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 0.84,
|
888 |
+
"learning_rate": 3.5940548605531966e-05,
|
889 |
+
"loss": 1.0951,
|
890 |
+
"step": 73500
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 0.85,
|
894 |
+
"learning_rate": 3.5844906079038985e-05,
|
895 |
+
"loss": 1.0932,
|
896 |
+
"step": 74000
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 0.86,
|
900 |
+
"learning_rate": 3.574926355254601e-05,
|
901 |
+
"loss": 1.09,
|
902 |
+
"step": 74500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 0.86,
|
906 |
+
"learning_rate": 3.5653621026053024e-05,
|
907 |
+
"loss": 1.0815,
|
908 |
+
"step": 75000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 0.87,
|
912 |
+
"learning_rate": 3.555797849956004e-05,
|
913 |
+
"loss": 1.1079,
|
914 |
+
"step": 75500
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 0.87,
|
918 |
+
"learning_rate": 3.546233597306707e-05,
|
919 |
+
"loss": 1.0864,
|
920 |
+
"step": 76000
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 0.88,
|
924 |
+
"learning_rate": 3.536669344657408e-05,
|
925 |
+
"loss": 1.1141,
|
926 |
+
"step": 76500
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 0.88,
|
930 |
+
"learning_rate": 3.527105092008111e-05,
|
931 |
+
"loss": 1.0849,
|
932 |
+
"step": 77000
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 0.89,
|
936 |
+
"learning_rate": 3.517540839358813e-05,
|
937 |
+
"loss": 1.0931,
|
938 |
+
"step": 77500
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 0.9,
|
942 |
+
"learning_rate": 3.5079765867095146e-05,
|
943 |
+
"loss": 1.1056,
|
944 |
+
"step": 78000
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 0.9,
|
948 |
+
"learning_rate": 3.4984123340602166e-05,
|
949 |
+
"loss": 1.0786,
|
950 |
+
"step": 78500
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 0.91,
|
954 |
+
"learning_rate": 3.4888480814109185e-05,
|
955 |
+
"loss": 1.0934,
|
956 |
+
"step": 79000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 0.91,
|
960 |
+
"learning_rate": 3.479283828761621e-05,
|
961 |
+
"loss": 1.1029,
|
962 |
+
"step": 79500
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 0.92,
|
966 |
+
"learning_rate": 3.469719576112323e-05,
|
967 |
+
"loss": 1.084,
|
968 |
+
"step": 80000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 0.92,
|
972 |
+
"learning_rate": 3.460155323463024e-05,
|
973 |
+
"loss": 1.1172,
|
974 |
+
"step": 80500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 0.93,
|
978 |
+
"learning_rate": 3.450591070813727e-05,
|
979 |
+
"loss": 1.0789,
|
980 |
+
"step": 81000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 0.94,
|
984 |
+
"learning_rate": 3.441026818164429e-05,
|
985 |
+
"loss": 1.0873,
|
986 |
+
"step": 81500
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 0.94,
|
990 |
+
"learning_rate": 3.431462565515131e-05,
|
991 |
+
"loss": 1.0903,
|
992 |
+
"step": 82000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 0.95,
|
996 |
+
"learning_rate": 3.421898312865833e-05,
|
997 |
+
"loss": 1.0811,
|
998 |
+
"step": 82500
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 0.95,
|
1002 |
+
"learning_rate": 3.4123340602165346e-05,
|
1003 |
+
"loss": 1.0691,
|
1004 |
+
"step": 83000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 0.96,
|
1008 |
+
"learning_rate": 3.402769807567237e-05,
|
1009 |
+
"loss": 1.0954,
|
1010 |
+
"step": 83500
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 0.96,
|
1014 |
+
"learning_rate": 3.3932055549179385e-05,
|
1015 |
+
"loss": 1.0743,
|
1016 |
+
"step": 84000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 0.97,
|
1020 |
+
"learning_rate": 3.383641302268641e-05,
|
1021 |
+
"loss": 1.0826,
|
1022 |
+
"step": 84500
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 0.98,
|
1026 |
+
"learning_rate": 3.374077049619343e-05,
|
1027 |
+
"loss": 1.0678,
|
1028 |
+
"step": 85000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 0.98,
|
1032 |
+
"learning_rate": 3.364512796970045e-05,
|
1033 |
+
"loss": 1.0914,
|
1034 |
+
"step": 85500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 0.99,
|
1038 |
+
"learning_rate": 3.354948544320747e-05,
|
1039 |
+
"loss": 1.0577,
|
1040 |
+
"step": 86000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 0.99,
|
1044 |
+
"learning_rate": 3.345384291671449e-05,
|
1045 |
+
"loss": 1.0885,
|
1046 |
+
"step": 86500
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 1.0,
|
1050 |
+
"learning_rate": 3.3358200390221515e-05,
|
1051 |
+
"loss": 1.0647,
|
1052 |
+
"step": 87000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 1.0,
|
1056 |
+
"learning_rate": 3.326255786372853e-05,
|
1057 |
+
"loss": 0.9806,
|
1058 |
+
"step": 87500
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 1.01,
|
1062 |
+
"learning_rate": 3.3166915337235546e-05,
|
1063 |
+
"loss": 0.9697,
|
1064 |
+
"step": 88000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 1.02,
|
1068 |
+
"learning_rate": 3.307127281074257e-05,
|
1069 |
+
"loss": 0.9644,
|
1070 |
+
"step": 88500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 1.02,
|
1074 |
+
"learning_rate": 3.297563028424959e-05,
|
1075 |
+
"loss": 0.9666,
|
1076 |
+
"step": 89000
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 1.03,
|
1080 |
+
"learning_rate": 3.287998775775661e-05,
|
1081 |
+
"loss": 0.9604,
|
1082 |
+
"step": 89500
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 1.03,
|
1086 |
+
"learning_rate": 3.278434523126363e-05,
|
1087 |
+
"loss": 0.9707,
|
1088 |
+
"step": 90000
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 1.04,
|
1092 |
+
"learning_rate": 3.268870270477065e-05,
|
1093 |
+
"loss": 0.9643,
|
1094 |
+
"step": 90500
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 1.04,
|
1098 |
+
"learning_rate": 3.2593060178277676e-05,
|
1099 |
+
"loss": 0.9713,
|
1100 |
+
"step": 91000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 1.05,
|
1104 |
+
"learning_rate": 3.249741765178469e-05,
|
1105 |
+
"loss": 0.9726,
|
1106 |
+
"step": 91500
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 1.06,
|
1110 |
+
"learning_rate": 3.2401775125291715e-05,
|
1111 |
+
"loss": 0.9616,
|
1112 |
+
"step": 92000
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 1.06,
|
1116 |
+
"learning_rate": 3.2306132598798734e-05,
|
1117 |
+
"loss": 0.9632,
|
1118 |
+
"step": 92500
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 1.07,
|
1122 |
+
"learning_rate": 3.2210490072305746e-05,
|
1123 |
+
"loss": 0.9728,
|
1124 |
+
"step": 93000
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 1.07,
|
1128 |
+
"learning_rate": 3.211484754581277e-05,
|
1129 |
+
"loss": 0.9656,
|
1130 |
+
"step": 93500
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 1.08,
|
1134 |
+
"learning_rate": 3.201920501931979e-05,
|
1135 |
+
"loss": 0.9649,
|
1136 |
+
"step": 94000
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 1.08,
|
1140 |
+
"learning_rate": 3.192356249282681e-05,
|
1141 |
+
"loss": 0.9788,
|
1142 |
+
"step": 94500
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 1.09,
|
1146 |
+
"learning_rate": 3.182791996633383e-05,
|
1147 |
+
"loss": 0.9396,
|
1148 |
+
"step": 95000
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 1.1,
|
1152 |
+
"learning_rate": 3.173227743984085e-05,
|
1153 |
+
"loss": 0.9528,
|
1154 |
+
"step": 95500
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 1.1,
|
1158 |
+
"learning_rate": 3.1636634913347876e-05,
|
1159 |
+
"loss": 0.9708,
|
1160 |
+
"step": 96000
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 1.11,
|
1164 |
+
"learning_rate": 3.1540992386854895e-05,
|
1165 |
+
"loss": 0.9705,
|
1166 |
+
"step": 96500
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 1.11,
|
1170 |
+
"learning_rate": 3.144534986036191e-05,
|
1171 |
+
"loss": 0.9715,
|
1172 |
+
"step": 97000
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 1.12,
|
1176 |
+
"learning_rate": 3.1349707333868934e-05,
|
1177 |
+
"loss": 0.964,
|
1178 |
+
"step": 97500
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 1.12,
|
1182 |
+
"learning_rate": 3.125406480737595e-05,
|
1183 |
+
"loss": 0.9567,
|
1184 |
+
"step": 98000
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 1.13,
|
1188 |
+
"learning_rate": 3.115842228088297e-05,
|
1189 |
+
"loss": 0.9558,
|
1190 |
+
"step": 98500
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 1.14,
|
1194 |
+
"learning_rate": 3.106277975438999e-05,
|
1195 |
+
"loss": 0.9592,
|
1196 |
+
"step": 99000
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 1.14,
|
1200 |
+
"learning_rate": 3.096713722789701e-05,
|
1201 |
+
"loss": 0.9711,
|
1202 |
+
"step": 99500
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 1.15,
|
1206 |
+
"learning_rate": 3.087149470140404e-05,
|
1207 |
+
"loss": 0.9692,
|
1208 |
+
"step": 100000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 1.15,
|
1212 |
+
"learning_rate": 3.077585217491105e-05,
|
1213 |
+
"loss": 0.9587,
|
1214 |
+
"step": 100500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 1.16,
|
1218 |
+
"learning_rate": 3.0680209648418076e-05,
|
1219 |
+
"loss": 0.9644,
|
1220 |
+
"step": 101000
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 1.16,
|
1224 |
+
"learning_rate": 3.0584567121925095e-05,
|
1225 |
+
"loss": 0.9365,
|
1226 |
+
"step": 101500
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 1.17,
|
1230 |
+
"learning_rate": 3.0488924595432118e-05,
|
1231 |
+
"loss": 0.9649,
|
1232 |
+
"step": 102000
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 1.18,
|
1236 |
+
"learning_rate": 3.0393282068939134e-05,
|
1237 |
+
"loss": 0.9637,
|
1238 |
+
"step": 102500
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 1.18,
|
1242 |
+
"learning_rate": 3.0297639542446153e-05,
|
1243 |
+
"loss": 0.9692,
|
1244 |
+
"step": 103000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 1.19,
|
1248 |
+
"learning_rate": 3.0201997015953176e-05,
|
1249 |
+
"loss": 0.9625,
|
1250 |
+
"step": 103500
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 1.19,
|
1254 |
+
"learning_rate": 3.0106354489460192e-05,
|
1255 |
+
"loss": 0.9725,
|
1256 |
+
"step": 104000
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 1.2,
|
1260 |
+
"learning_rate": 3.0010711962967215e-05,
|
1261 |
+
"loss": 0.9371,
|
1262 |
+
"step": 104500
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 1.21,
|
1266 |
+
"learning_rate": 2.9915069436474234e-05,
|
1267 |
+
"loss": 0.9431,
|
1268 |
+
"step": 105000
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 1.21,
|
1272 |
+
"learning_rate": 2.9819426909981257e-05,
|
1273 |
+
"loss": 0.9675,
|
1274 |
+
"step": 105500
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 1.22,
|
1278 |
+
"learning_rate": 2.9723784383488273e-05,
|
1279 |
+
"loss": 0.9565,
|
1280 |
+
"step": 106000
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 1.22,
|
1284 |
+
"learning_rate": 2.9628141856995295e-05,
|
1285 |
+
"loss": 0.9564,
|
1286 |
+
"step": 106500
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 1.23,
|
1290 |
+
"learning_rate": 2.9532499330502318e-05,
|
1291 |
+
"loss": 0.9595,
|
1292 |
+
"step": 107000
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 1.23,
|
1296 |
+
"learning_rate": 2.9436856804009337e-05,
|
1297 |
+
"loss": 0.9611,
|
1298 |
+
"step": 107500
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 1.24,
|
1302 |
+
"learning_rate": 2.9341214277516353e-05,
|
1303 |
+
"loss": 0.9397,
|
1304 |
+
"step": 108000
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 1.25,
|
1308 |
+
"learning_rate": 2.9245571751023376e-05,
|
1309 |
+
"loss": 0.9855,
|
1310 |
+
"step": 108500
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 1.25,
|
1314 |
+
"learning_rate": 2.91499292245304e-05,
|
1315 |
+
"loss": 0.9613,
|
1316 |
+
"step": 109000
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 1.26,
|
1320 |
+
"learning_rate": 2.9054286698037415e-05,
|
1321 |
+
"loss": 0.978,
|
1322 |
+
"step": 109500
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 1.26,
|
1326 |
+
"learning_rate": 2.8958644171544434e-05,
|
1327 |
+
"loss": 0.9694,
|
1328 |
+
"step": 110000
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 1.27,
|
1332 |
+
"learning_rate": 2.8863001645051457e-05,
|
1333 |
+
"loss": 0.9564,
|
1334 |
+
"step": 110500
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 1.27,
|
1338 |
+
"learning_rate": 2.876735911855848e-05,
|
1339 |
+
"loss": 0.9546,
|
1340 |
+
"step": 111000
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 1.28,
|
1344 |
+
"learning_rate": 2.8671716592065495e-05,
|
1345 |
+
"loss": 0.9345,
|
1346 |
+
"step": 111500
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 1.29,
|
1350 |
+
"learning_rate": 2.8576074065572518e-05,
|
1351 |
+
"loss": 0.9413,
|
1352 |
+
"step": 112000
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 1.29,
|
1356 |
+
"learning_rate": 2.8480431539079538e-05,
|
1357 |
+
"loss": 0.9674,
|
1358 |
+
"step": 112500
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 1.3,
|
1362 |
+
"learning_rate": 2.838478901258656e-05,
|
1363 |
+
"loss": 0.9611,
|
1364 |
+
"step": 113000
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 1.3,
|
1368 |
+
"learning_rate": 2.8289146486093576e-05,
|
1369 |
+
"loss": 0.944,
|
1370 |
+
"step": 113500
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 1.31,
|
1374 |
+
"learning_rate": 2.81935039596006e-05,
|
1375 |
+
"loss": 0.9532,
|
1376 |
+
"step": 114000
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 1.31,
|
1380 |
+
"learning_rate": 2.8097861433107618e-05,
|
1381 |
+
"loss": 0.9556,
|
1382 |
+
"step": 114500
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 1.32,
|
1386 |
+
"learning_rate": 2.800221890661464e-05,
|
1387 |
+
"loss": 0.9539,
|
1388 |
+
"step": 115000
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 1.33,
|
1392 |
+
"learning_rate": 2.7906576380121657e-05,
|
1393 |
+
"loss": 0.9525,
|
1394 |
+
"step": 115500
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 1.33,
|
1398 |
+
"learning_rate": 2.781093385362868e-05,
|
1399 |
+
"loss": 0.9495,
|
1400 |
+
"step": 116000
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 1.34,
|
1404 |
+
"learning_rate": 2.7715291327135702e-05,
|
1405 |
+
"loss": 0.9585,
|
1406 |
+
"step": 116500
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 1.34,
|
1410 |
+
"learning_rate": 2.7619648800642718e-05,
|
1411 |
+
"loss": 0.959,
|
1412 |
+
"step": 117000
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 1.35,
|
1416 |
+
"learning_rate": 2.7524006274149738e-05,
|
1417 |
+
"loss": 0.9503,
|
1418 |
+
"step": 117500
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 1.35,
|
1422 |
+
"learning_rate": 2.742836374765676e-05,
|
1423 |
+
"loss": 0.9444,
|
1424 |
+
"step": 118000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 1.36,
|
1428 |
+
"learning_rate": 2.7332721221163783e-05,
|
1429 |
+
"loss": 0.9495,
|
1430 |
+
"step": 118500
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 1.37,
|
1434 |
+
"learning_rate": 2.72370786946708e-05,
|
1435 |
+
"loss": 0.9273,
|
1436 |
+
"step": 119000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 1.37,
|
1440 |
+
"learning_rate": 2.7141436168177818e-05,
|
1441 |
+
"loss": 0.952,
|
1442 |
+
"step": 119500
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 1.38,
|
1446 |
+
"learning_rate": 2.704579364168484e-05,
|
1447 |
+
"loss": 0.9455,
|
1448 |
+
"step": 120000
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 1.38,
|
1452 |
+
"learning_rate": 2.6950151115191864e-05,
|
1453 |
+
"loss": 0.9475,
|
1454 |
+
"step": 120500
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 1.39,
|
1458 |
+
"learning_rate": 2.685450858869888e-05,
|
1459 |
+
"loss": 0.9348,
|
1460 |
+
"step": 121000
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 1.39,
|
1464 |
+
"learning_rate": 2.67588660622059e-05,
|
1465 |
+
"loss": 0.9479,
|
1466 |
+
"step": 121500
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 1.4,
|
1470 |
+
"learning_rate": 2.666322353571292e-05,
|
1471 |
+
"loss": 0.9603,
|
1472 |
+
"step": 122000
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 1.41,
|
1476 |
+
"learning_rate": 2.6567581009219938e-05,
|
1477 |
+
"loss": 0.9276,
|
1478 |
+
"step": 122500
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 1.41,
|
1482 |
+
"learning_rate": 2.647193848272696e-05,
|
1483 |
+
"loss": 0.9558,
|
1484 |
+
"step": 123000
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 1.42,
|
1488 |
+
"learning_rate": 2.6376295956233983e-05,
|
1489 |
+
"loss": 0.9321,
|
1490 |
+
"step": 123500
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 1.42,
|
1494 |
+
"learning_rate": 2.6280653429741002e-05,
|
1495 |
+
"loss": 0.9342,
|
1496 |
+
"step": 124000
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 1.43,
|
1500 |
+
"learning_rate": 2.618501090324802e-05,
|
1501 |
+
"loss": 0.9395,
|
1502 |
+
"step": 124500
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 1.43,
|
1506 |
+
"learning_rate": 2.608936837675504e-05,
|
1507 |
+
"loss": 0.9337,
|
1508 |
+
"step": 125000
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 1.44,
|
1512 |
+
"learning_rate": 2.5993725850262064e-05,
|
1513 |
+
"loss": 0.9475,
|
1514 |
+
"step": 125500
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 1.45,
|
1518 |
+
"learning_rate": 2.5898083323769083e-05,
|
1519 |
+
"loss": 0.9379,
|
1520 |
+
"step": 126000
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 1.45,
|
1524 |
+
"learning_rate": 2.58024407972761e-05,
|
1525 |
+
"loss": 0.929,
|
1526 |
+
"step": 126500
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 1.46,
|
1530 |
+
"learning_rate": 2.5706798270783122e-05,
|
1531 |
+
"loss": 0.9316,
|
1532 |
+
"step": 127000
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 1.46,
|
1536 |
+
"learning_rate": 2.5611155744290144e-05,
|
1537 |
+
"loss": 0.9415,
|
1538 |
+
"step": 127500
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 1.47,
|
1542 |
+
"learning_rate": 2.551551321779716e-05,
|
1543 |
+
"loss": 0.933,
|
1544 |
+
"step": 128000
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 1.47,
|
1548 |
+
"learning_rate": 2.5419870691304183e-05,
|
1549 |
+
"loss": 0.9477,
|
1550 |
+
"step": 128500
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 1.48,
|
1554 |
+
"learning_rate": 2.5324228164811202e-05,
|
1555 |
+
"loss": 0.9096,
|
1556 |
+
"step": 129000
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 1.49,
|
1560 |
+
"learning_rate": 2.5228585638318225e-05,
|
1561 |
+
"loss": 0.9161,
|
1562 |
+
"step": 129500
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 1.49,
|
1566 |
+
"learning_rate": 2.513294311182524e-05,
|
1567 |
+
"loss": 0.9535,
|
1568 |
+
"step": 130000
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 1.5,
|
1572 |
+
"learning_rate": 2.5037300585332264e-05,
|
1573 |
+
"loss": 0.9386,
|
1574 |
+
"step": 130500
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 1.5,
|
1578 |
+
"learning_rate": 2.4941658058839283e-05,
|
1579 |
+
"loss": 0.944,
|
1580 |
+
"step": 131000
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 1.51,
|
1584 |
+
"learning_rate": 2.4846015532346302e-05,
|
1585 |
+
"loss": 0.934,
|
1586 |
+
"step": 131500
|
1587 |
+
},
|
1588 |
+
{
|
1589 |
+
"epoch": 1.51,
|
1590 |
+
"learning_rate": 2.4750373005853325e-05,
|
1591 |
+
"loss": 0.9243,
|
1592 |
+
"step": 132000
|
1593 |
+
},
|
1594 |
+
{
|
1595 |
+
"epoch": 1.52,
|
1596 |
+
"learning_rate": 2.4654730479360344e-05,
|
1597 |
+
"loss": 0.9215,
|
1598 |
+
"step": 132500
|
1599 |
+
},
|
1600 |
+
{
|
1601 |
+
"epoch": 1.53,
|
1602 |
+
"learning_rate": 2.4559087952867364e-05,
|
1603 |
+
"loss": 0.9271,
|
1604 |
+
"step": 133000
|
1605 |
+
},
|
1606 |
+
{
|
1607 |
+
"epoch": 1.53,
|
1608 |
+
"learning_rate": 2.4463445426374383e-05,
|
1609 |
+
"loss": 0.9442,
|
1610 |
+
"step": 133500
|
1611 |
+
},
|
1612 |
+
{
|
1613 |
+
"epoch": 1.54,
|
1614 |
+
"learning_rate": 2.4367802899881402e-05,
|
1615 |
+
"loss": 0.936,
|
1616 |
+
"step": 134000
|
1617 |
+
},
|
1618 |
+
{
|
1619 |
+
"epoch": 1.54,
|
1620 |
+
"learning_rate": 2.4272160373388425e-05,
|
1621 |
+
"loss": 0.9393,
|
1622 |
+
"step": 134500
|
1623 |
+
},
|
1624 |
+
{
|
1625 |
+
"epoch": 1.55,
|
1626 |
+
"learning_rate": 2.4176517846895445e-05,
|
1627 |
+
"loss": 0.9434,
|
1628 |
+
"step": 135000
|
1629 |
+
},
|
1630 |
+
{
|
1631 |
+
"epoch": 1.56,
|
1632 |
+
"learning_rate": 2.4080875320402467e-05,
|
1633 |
+
"loss": 0.9383,
|
1634 |
+
"step": 135500
|
1635 |
+
},
|
1636 |
+
{
|
1637 |
+
"epoch": 1.56,
|
1638 |
+
"learning_rate": 2.3985232793909483e-05,
|
1639 |
+
"loss": 0.9275,
|
1640 |
+
"step": 136000
|
1641 |
+
},
|
1642 |
+
{
|
1643 |
+
"epoch": 1.57,
|
1644 |
+
"learning_rate": 2.3889590267416506e-05,
|
1645 |
+
"loss": 0.9129,
|
1646 |
+
"step": 136500
|
1647 |
+
},
|
1648 |
+
{
|
1649 |
+
"epoch": 1.57,
|
1650 |
+
"learning_rate": 2.3793947740923525e-05,
|
1651 |
+
"loss": 0.937,
|
1652 |
+
"step": 137000
|
1653 |
+
},
|
1654 |
+
{
|
1655 |
+
"epoch": 1.58,
|
1656 |
+
"learning_rate": 2.3698305214430548e-05,
|
1657 |
+
"loss": 0.9158,
|
1658 |
+
"step": 137500
|
1659 |
+
},
|
1660 |
+
{
|
1661 |
+
"epoch": 1.58,
|
1662 |
+
"learning_rate": 2.3602662687937567e-05,
|
1663 |
+
"loss": 0.9184,
|
1664 |
+
"step": 138000
|
1665 |
+
},
|
1666 |
+
{
|
1667 |
+
"epoch": 1.59,
|
1668 |
+
"learning_rate": 2.3507020161444583e-05,
|
1669 |
+
"loss": 0.9214,
|
1670 |
+
"step": 138500
|
1671 |
+
},
|
1672 |
+
{
|
1673 |
+
"epoch": 1.6,
|
1674 |
+
"learning_rate": 2.3411377634951606e-05,
|
1675 |
+
"loss": 0.9188,
|
1676 |
+
"step": 139000
|
1677 |
+
},
|
1678 |
+
{
|
1679 |
+
"epoch": 1.6,
|
1680 |
+
"learning_rate": 2.3315735108458625e-05,
|
1681 |
+
"loss": 0.9209,
|
1682 |
+
"step": 139500
|
1683 |
+
},
|
1684 |
+
{
|
1685 |
+
"epoch": 1.61,
|
1686 |
+
"learning_rate": 2.3220092581965648e-05,
|
1687 |
+
"loss": 0.9111,
|
1688 |
+
"step": 140000
|
1689 |
+
},
|
1690 |
+
{
|
1691 |
+
"epoch": 1.61,
|
1692 |
+
"learning_rate": 2.3124450055472667e-05,
|
1693 |
+
"loss": 0.9279,
|
1694 |
+
"step": 140500
|
1695 |
+
},
|
1696 |
+
{
|
1697 |
+
"epoch": 1.62,
|
1698 |
+
"learning_rate": 2.3028807528979687e-05,
|
1699 |
+
"loss": 0.919,
|
1700 |
+
"step": 141000
|
1701 |
+
},
|
1702 |
+
{
|
1703 |
+
"epoch": 1.62,
|
1704 |
+
"learning_rate": 2.2933165002486706e-05,
|
1705 |
+
"loss": 0.9202,
|
1706 |
+
"step": 141500
|
1707 |
+
},
|
1708 |
+
{
|
1709 |
+
"epoch": 1.63,
|
1710 |
+
"learning_rate": 2.283752247599373e-05,
|
1711 |
+
"loss": 0.9126,
|
1712 |
+
"step": 142000
|
1713 |
+
},
|
1714 |
+
{
|
1715 |
+
"epoch": 1.64,
|
1716 |
+
"learning_rate": 2.2741879949500748e-05,
|
1717 |
+
"loss": 0.9277,
|
1718 |
+
"step": 142500
|
1719 |
+
},
|
1720 |
+
{
|
1721 |
+
"epoch": 1.64,
|
1722 |
+
"learning_rate": 2.2646237423007767e-05,
|
1723 |
+
"loss": 0.9171,
|
1724 |
+
"step": 143000
|
1725 |
+
},
|
1726 |
+
{
|
1727 |
+
"epoch": 1.65,
|
1728 |
+
"learning_rate": 2.2550594896514787e-05,
|
1729 |
+
"loss": 0.9017,
|
1730 |
+
"step": 143500
|
1731 |
+
},
|
1732 |
+
{
|
1733 |
+
"epoch": 1.65,
|
1734 |
+
"learning_rate": 2.245495237002181e-05,
|
1735 |
+
"loss": 0.9363,
|
1736 |
+
"step": 144000
|
1737 |
+
},
|
1738 |
+
{
|
1739 |
+
"epoch": 1.66,
|
1740 |
+
"learning_rate": 2.235930984352883e-05,
|
1741 |
+
"loss": 0.9139,
|
1742 |
+
"step": 144500
|
1743 |
+
},
|
1744 |
+
{
|
1745 |
+
"epoch": 1.66,
|
1746 |
+
"learning_rate": 2.2263667317035848e-05,
|
1747 |
+
"loss": 0.9055,
|
1748 |
+
"step": 145000
|
1749 |
+
},
|
1750 |
+
{
|
1751 |
+
"epoch": 1.67,
|
1752 |
+
"learning_rate": 2.2168024790542867e-05,
|
1753 |
+
"loss": 0.9028,
|
1754 |
+
"step": 145500
|
1755 |
+
},
|
1756 |
+
{
|
1757 |
+
"epoch": 1.68,
|
1758 |
+
"learning_rate": 2.2072382264049887e-05,
|
1759 |
+
"loss": 0.9026,
|
1760 |
+
"step": 146000
|
1761 |
+
},
|
1762 |
+
{
|
1763 |
+
"epoch": 1.68,
|
1764 |
+
"learning_rate": 2.197673973755691e-05,
|
1765 |
+
"loss": 0.9143,
|
1766 |
+
"step": 146500
|
1767 |
+
},
|
1768 |
+
{
|
1769 |
+
"epoch": 1.69,
|
1770 |
+
"learning_rate": 2.188109721106393e-05,
|
1771 |
+
"loss": 0.9231,
|
1772 |
+
"step": 147000
|
1773 |
+
},
|
1774 |
+
{
|
1775 |
+
"epoch": 1.69,
|
1776 |
+
"learning_rate": 2.1785454684570948e-05,
|
1777 |
+
"loss": 0.902,
|
1778 |
+
"step": 147500
|
1779 |
+
},
|
1780 |
+
{
|
1781 |
+
"epoch": 1.7,
|
1782 |
+
"learning_rate": 2.1689812158077967e-05,
|
1783 |
+
"loss": 0.9027,
|
1784 |
+
"step": 148000
|
1785 |
+
},
|
1786 |
+
{
|
1787 |
+
"epoch": 1.7,
|
1788 |
+
"learning_rate": 2.159416963158499e-05,
|
1789 |
+
"loss": 0.9204,
|
1790 |
+
"step": 148500
|
1791 |
+
},
|
1792 |
+
{
|
1793 |
+
"epoch": 1.71,
|
1794 |
+
"learning_rate": 2.149852710509201e-05,
|
1795 |
+
"loss": 0.9197,
|
1796 |
+
"step": 149000
|
1797 |
+
},
|
1798 |
+
{
|
1799 |
+
"epoch": 1.72,
|
1800 |
+
"learning_rate": 2.1402884578599032e-05,
|
1801 |
+
"loss": 0.9038,
|
1802 |
+
"step": 149500
|
1803 |
+
},
|
1804 |
+
{
|
1805 |
+
"epoch": 1.72,
|
1806 |
+
"learning_rate": 2.1307242052106048e-05,
|
1807 |
+
"loss": 0.8939,
|
1808 |
+
"step": 150000
|
1809 |
+
},
|
1810 |
+
{
|
1811 |
+
"epoch": 1.73,
|
1812 |
+
"learning_rate": 2.1211599525613067e-05,
|
1813 |
+
"loss": 0.9135,
|
1814 |
+
"step": 150500
|
1815 |
+
},
|
1816 |
+
{
|
1817 |
+
"epoch": 1.73,
|
1818 |
+
"learning_rate": 2.111595699912009e-05,
|
1819 |
+
"loss": 0.9099,
|
1820 |
+
"step": 151000
|
1821 |
+
},
|
1822 |
+
{
|
1823 |
+
"epoch": 1.74,
|
1824 |
+
"learning_rate": 2.102031447262711e-05,
|
1825 |
+
"loss": 0.9195,
|
1826 |
+
"step": 151500
|
1827 |
+
},
|
1828 |
+
{
|
1829 |
+
"epoch": 1.74,
|
1830 |
+
"learning_rate": 2.0924671946134132e-05,
|
1831 |
+
"loss": 0.9004,
|
1832 |
+
"step": 152000
|
1833 |
+
},
|
1834 |
+
{
|
1835 |
+
"epoch": 1.75,
|
1836 |
+
"learning_rate": 2.0829029419641148e-05,
|
1837 |
+
"loss": 0.9123,
|
1838 |
+
"step": 152500
|
1839 |
+
},
|
1840 |
+
{
|
1841 |
+
"epoch": 1.76,
|
1842 |
+
"learning_rate": 2.073338689314817e-05,
|
1843 |
+
"loss": 0.9008,
|
1844 |
+
"step": 153000
|
1845 |
+
},
|
1846 |
+
{
|
1847 |
+
"epoch": 1.76,
|
1848 |
+
"learning_rate": 2.063774436665519e-05,
|
1849 |
+
"loss": 0.9081,
|
1850 |
+
"step": 153500
|
1851 |
+
},
|
1852 |
+
{
|
1853 |
+
"epoch": 1.77,
|
1854 |
+
"learning_rate": 2.0542101840162213e-05,
|
1855 |
+
"loss": 0.9003,
|
1856 |
+
"step": 154000
|
1857 |
+
},
|
1858 |
+
{
|
1859 |
+
"epoch": 1.77,
|
1860 |
+
"learning_rate": 2.0446459313669232e-05,
|
1861 |
+
"loss": 0.9173,
|
1862 |
+
"step": 154500
|
1863 |
+
},
|
1864 |
+
{
|
1865 |
+
"epoch": 1.78,
|
1866 |
+
"learning_rate": 2.035081678717625e-05,
|
1867 |
+
"loss": 0.9174,
|
1868 |
+
"step": 155000
|
1869 |
+
},
|
1870 |
+
{
|
1871 |
+
"epoch": 1.78,
|
1872 |
+
"learning_rate": 2.025517426068327e-05,
|
1873 |
+
"loss": 0.8964,
|
1874 |
+
"step": 155500
|
1875 |
+
},
|
1876 |
+
{
|
1877 |
+
"epoch": 1.79,
|
1878 |
+
"learning_rate": 2.015953173419029e-05,
|
1879 |
+
"loss": 0.8951,
|
1880 |
+
"step": 156000
|
1881 |
+
},
|
1882 |
+
{
|
1883 |
+
"epoch": 1.8,
|
1884 |
+
"learning_rate": 2.0063889207697313e-05,
|
1885 |
+
"loss": 0.8963,
|
1886 |
+
"step": 156500
|
1887 |
+
},
|
1888 |
+
{
|
1889 |
+
"epoch": 1.8,
|
1890 |
+
"learning_rate": 1.9968246681204332e-05,
|
1891 |
+
"loss": 0.9004,
|
1892 |
+
"step": 157000
|
1893 |
+
},
|
1894 |
+
{
|
1895 |
+
"epoch": 1.81,
|
1896 |
+
"learning_rate": 1.987260415471135e-05,
|
1897 |
+
"loss": 0.9143,
|
1898 |
+
"step": 157500
|
1899 |
+
},
|
1900 |
+
{
|
1901 |
+
"epoch": 1.81,
|
1902 |
+
"learning_rate": 1.977696162821837e-05,
|
1903 |
+
"loss": 0.9057,
|
1904 |
+
"step": 158000
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 1.82,
|
1908 |
+
"learning_rate": 1.9681319101725394e-05,
|
1909 |
+
"loss": 0.9035,
|
1910 |
+
"step": 158500
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 1.82,
|
1914 |
+
"learning_rate": 1.9585676575232413e-05,
|
1915 |
+
"loss": 0.8944,
|
1916 |
+
"step": 159000
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 1.83,
|
1920 |
+
"learning_rate": 1.9490034048739432e-05,
|
1921 |
+
"loss": 0.8942,
|
1922 |
+
"step": 159500
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 1.84,
|
1926 |
+
"learning_rate": 1.939439152224645e-05,
|
1927 |
+
"loss": 0.8988,
|
1928 |
+
"step": 160000
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 1.84,
|
1932 |
+
"learning_rate": 1.9298748995753474e-05,
|
1933 |
+
"loss": 0.8968,
|
1934 |
+
"step": 160500
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 1.85,
|
1938 |
+
"learning_rate": 1.9203106469260494e-05,
|
1939 |
+
"loss": 0.9141,
|
1940 |
+
"step": 161000
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 1.85,
|
1944 |
+
"learning_rate": 1.9107463942767513e-05,
|
1945 |
+
"loss": 0.8917,
|
1946 |
+
"step": 161500
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 1.86,
|
1950 |
+
"learning_rate": 1.9011821416274532e-05,
|
1951 |
+
"loss": 0.8946,
|
1952 |
+
"step": 162000
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 1.87,
|
1956 |
+
"learning_rate": 1.891617888978155e-05,
|
1957 |
+
"loss": 0.9182,
|
1958 |
+
"step": 162500
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 1.87,
|
1962 |
+
"learning_rate": 1.8820536363288574e-05,
|
1963 |
+
"loss": 0.895,
|
1964 |
+
"step": 163000
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 1.88,
|
1968 |
+
"learning_rate": 1.8724893836795594e-05,
|
1969 |
+
"loss": 0.8787,
|
1970 |
+
"step": 163500
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 1.88,
|
1974 |
+
"learning_rate": 1.8629251310302613e-05,
|
1975 |
+
"loss": 0.9011,
|
1976 |
+
"step": 164000
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 1.89,
|
1980 |
+
"learning_rate": 1.8533608783809632e-05,
|
1981 |
+
"loss": 0.8866,
|
1982 |
+
"step": 164500
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 1.89,
|
1986 |
+
"learning_rate": 1.8437966257316655e-05,
|
1987 |
+
"loss": 0.903,
|
1988 |
+
"step": 165000
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 1.9,
|
1992 |
+
"learning_rate": 1.8342323730823674e-05,
|
1993 |
+
"loss": 0.9039,
|
1994 |
+
"step": 165500
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 1.91,
|
1998 |
+
"learning_rate": 1.8246681204330697e-05,
|
1999 |
+
"loss": 0.901,
|
2000 |
+
"step": 166000
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 1.91,
|
2004 |
+
"learning_rate": 1.8151038677837713e-05,
|
2005 |
+
"loss": 0.906,
|
2006 |
+
"step": 166500
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 1.92,
|
2010 |
+
"learning_rate": 1.8055396151344736e-05,
|
2011 |
+
"loss": 0.8961,
|
2012 |
+
"step": 167000
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 1.92,
|
2016 |
+
"learning_rate": 1.7959753624851755e-05,
|
2017 |
+
"loss": 0.8867,
|
2018 |
+
"step": 167500
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 1.93,
|
2022 |
+
"learning_rate": 1.7864111098358774e-05,
|
2023 |
+
"loss": 0.888,
|
2024 |
+
"step": 168000
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 1.93,
|
2028 |
+
"learning_rate": 1.7768468571865797e-05,
|
2029 |
+
"loss": 0.908,
|
2030 |
+
"step": 168500
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 1.94,
|
2034 |
+
"learning_rate": 1.7672826045372813e-05,
|
2035 |
+
"loss": 0.8863,
|
2036 |
+
"step": 169000
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 1.95,
|
2040 |
+
"learning_rate": 1.7577183518879836e-05,
|
2041 |
+
"loss": 0.8975,
|
2042 |
+
"step": 169500
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 1.95,
|
2046 |
+
"learning_rate": 1.7481540992386855e-05,
|
2047 |
+
"loss": 0.902,
|
2048 |
+
"step": 170000
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 1.96,
|
2052 |
+
"learning_rate": 1.7385898465893878e-05,
|
2053 |
+
"loss": 0.8892,
|
2054 |
+
"step": 170500
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 1.96,
|
2058 |
+
"learning_rate": 1.7290255939400897e-05,
|
2059 |
+
"loss": 0.8917,
|
2060 |
+
"step": 171000
|
2061 |
+
},
|
2062 |
+
{
|
2063 |
+
"epoch": 1.97,
|
2064 |
+
"learning_rate": 1.7194613412907916e-05,
|
2065 |
+
"loss": 0.8875,
|
2066 |
+
"step": 171500
|
2067 |
+
},
|
2068 |
+
{
|
2069 |
+
"epoch": 1.97,
|
2070 |
+
"learning_rate": 1.7098970886414936e-05,
|
2071 |
+
"loss": 0.8865,
|
2072 |
+
"step": 172000
|
2073 |
+
},
|
2074 |
+
{
|
2075 |
+
"epoch": 1.98,
|
2076 |
+
"learning_rate": 1.700332835992196e-05,
|
2077 |
+
"loss": 0.876,
|
2078 |
+
"step": 172500
|
2079 |
+
},
|
2080 |
+
{
|
2081 |
+
"epoch": 1.99,
|
2082 |
+
"learning_rate": 1.6907685833428978e-05,
|
2083 |
+
"loss": 0.8971,
|
2084 |
+
"step": 173000
|
2085 |
+
},
|
2086 |
+
{
|
2087 |
+
"epoch": 1.99,
|
2088 |
+
"learning_rate": 1.6812043306935997e-05,
|
2089 |
+
"loss": 0.8861,
|
2090 |
+
"step": 173500
|
2091 |
+
},
|
2092 |
+
{
|
2093 |
+
"epoch": 2.0,
|
2094 |
+
"learning_rate": 1.6716400780443016e-05,
|
2095 |
+
"loss": 0.9066,
|
2096 |
+
"step": 174000
|
2097 |
+
},
|
2098 |
+
{
|
2099 |
+
"epoch": 2.0,
|
2100 |
+
"learning_rate": 1.6620758253950036e-05,
|
2101 |
+
"loss": 0.8281,
|
2102 |
+
"step": 174500
|
2103 |
+
},
|
2104 |
+
{
|
2105 |
+
"epoch": 2.01,
|
2106 |
+
"learning_rate": 1.652511572745706e-05,
|
2107 |
+
"loss": 0.7694,
|
2108 |
+
"step": 175000
|
2109 |
+
},
|
2110 |
+
{
|
2111 |
+
"epoch": 2.01,
|
2112 |
+
"learning_rate": 1.6429473200964078e-05,
|
2113 |
+
"loss": 0.7686,
|
2114 |
+
"step": 175500
|
2115 |
+
},
|
2116 |
+
{
|
2117 |
+
"epoch": 2.02,
|
2118 |
+
"learning_rate": 1.6333830674471097e-05,
|
2119 |
+
"loss": 0.7825,
|
2120 |
+
"step": 176000
|
2121 |
+
},
|
2122 |
+
{
|
2123 |
+
"epoch": 2.03,
|
2124 |
+
"learning_rate": 1.6238188147978116e-05,
|
2125 |
+
"loss": 0.7796,
|
2126 |
+
"step": 176500
|
2127 |
+
},
|
2128 |
+
{
|
2129 |
+
"epoch": 2.03,
|
2130 |
+
"learning_rate": 1.614254562148514e-05,
|
2131 |
+
"loss": 0.7767,
|
2132 |
+
"step": 177000
|
2133 |
+
},
|
2134 |
+
{
|
2135 |
+
"epoch": 2.04,
|
2136 |
+
"learning_rate": 1.604690309499216e-05,
|
2137 |
+
"loss": 0.7784,
|
2138 |
+
"step": 177500
|
2139 |
+
},
|
2140 |
+
{
|
2141 |
+
"epoch": 2.04,
|
2142 |
+
"learning_rate": 1.5951260568499178e-05,
|
2143 |
+
"loss": 0.7735,
|
2144 |
+
"step": 178000
|
2145 |
+
},
|
2146 |
+
{
|
2147 |
+
"epoch": 2.05,
|
2148 |
+
"learning_rate": 1.5855618042006197e-05,
|
2149 |
+
"loss": 0.7804,
|
2150 |
+
"step": 178500
|
2151 |
+
},
|
2152 |
+
{
|
2153 |
+
"epoch": 2.05,
|
2154 |
+
"learning_rate": 1.5759975515513217e-05,
|
2155 |
+
"loss": 0.7778,
|
2156 |
+
"step": 179000
|
2157 |
+
},
|
2158 |
+
{
|
2159 |
+
"epoch": 2.06,
|
2160 |
+
"learning_rate": 1.566433298902024e-05,
|
2161 |
+
"loss": 0.7776,
|
2162 |
+
"step": 179500
|
2163 |
+
},
|
2164 |
+
{
|
2165 |
+
"epoch": 2.07,
|
2166 |
+
"learning_rate": 1.556869046252726e-05,
|
2167 |
+
"loss": 0.7612,
|
2168 |
+
"step": 180000
|
2169 |
+
},
|
2170 |
+
{
|
2171 |
+
"epoch": 2.07,
|
2172 |
+
"learning_rate": 1.5473047936034278e-05,
|
2173 |
+
"loss": 0.7675,
|
2174 |
+
"step": 180500
|
2175 |
+
},
|
2176 |
+
{
|
2177 |
+
"epoch": 2.08,
|
2178 |
+
"learning_rate": 1.5377405409541297e-05,
|
2179 |
+
"loss": 0.7906,
|
2180 |
+
"step": 181000
|
2181 |
+
},
|
2182 |
+
{
|
2183 |
+
"epoch": 2.08,
|
2184 |
+
"learning_rate": 1.528176288304832e-05,
|
2185 |
+
"loss": 0.7899,
|
2186 |
+
"step": 181500
|
2187 |
+
},
|
2188 |
+
{
|
2189 |
+
"epoch": 2.09,
|
2190 |
+
"learning_rate": 1.518612035655534e-05,
|
2191 |
+
"loss": 0.7917,
|
2192 |
+
"step": 182000
|
2193 |
+
},
|
2194 |
+
{
|
2195 |
+
"epoch": 2.09,
|
2196 |
+
"learning_rate": 1.509047783006236e-05,
|
2197 |
+
"loss": 0.7844,
|
2198 |
+
"step": 182500
|
2199 |
+
},
|
2200 |
+
{
|
2201 |
+
"epoch": 2.1,
|
2202 |
+
"learning_rate": 1.499483530356938e-05,
|
2203 |
+
"loss": 0.7891,
|
2204 |
+
"step": 183000
|
2205 |
+
},
|
2206 |
+
{
|
2207 |
+
"epoch": 2.11,
|
2208 |
+
"learning_rate": 1.48991927770764e-05,
|
2209 |
+
"loss": 0.7685,
|
2210 |
+
"step": 183500
|
2211 |
+
},
|
2212 |
+
{
|
2213 |
+
"epoch": 2.11,
|
2214 |
+
"learning_rate": 1.480355025058342e-05,
|
2215 |
+
"loss": 0.7708,
|
2216 |
+
"step": 184000
|
2217 |
+
},
|
2218 |
+
{
|
2219 |
+
"epoch": 2.12,
|
2220 |
+
"learning_rate": 1.470790772409044e-05,
|
2221 |
+
"loss": 0.7762,
|
2222 |
+
"step": 184500
|
2223 |
+
},
|
2224 |
+
{
|
2225 |
+
"epoch": 2.12,
|
2226 |
+
"learning_rate": 1.461226519759746e-05,
|
2227 |
+
"loss": 0.7842,
|
2228 |
+
"step": 185000
|
2229 |
+
},
|
2230 |
+
{
|
2231 |
+
"epoch": 2.13,
|
2232 |
+
"learning_rate": 1.451662267110448e-05,
|
2233 |
+
"loss": 0.7729,
|
2234 |
+
"step": 185500
|
2235 |
+
},
|
2236 |
+
{
|
2237 |
+
"epoch": 2.13,
|
2238 |
+
"learning_rate": 1.44209801446115e-05,
|
2239 |
+
"loss": 0.7683,
|
2240 |
+
"step": 186000
|
2241 |
+
},
|
2242 |
+
{
|
2243 |
+
"epoch": 2.14,
|
2244 |
+
"learning_rate": 1.432533761811852e-05,
|
2245 |
+
"loss": 0.779,
|
2246 |
+
"step": 186500
|
2247 |
+
},
|
2248 |
+
{
|
2249 |
+
"epoch": 2.15,
|
2250 |
+
"learning_rate": 1.4229695091625541e-05,
|
2251 |
+
"loss": 0.7759,
|
2252 |
+
"step": 187000
|
2253 |
+
},
|
2254 |
+
{
|
2255 |
+
"epoch": 2.15,
|
2256 |
+
"learning_rate": 1.413405256513256e-05,
|
2257 |
+
"loss": 0.7716,
|
2258 |
+
"step": 187500
|
2259 |
+
},
|
2260 |
+
{
|
2261 |
+
"epoch": 2.16,
|
2262 |
+
"learning_rate": 1.4038410038639583e-05,
|
2263 |
+
"loss": 0.7918,
|
2264 |
+
"step": 188000
|
2265 |
+
},
|
2266 |
+
{
|
2267 |
+
"epoch": 2.16,
|
2268 |
+
"learning_rate": 1.39427675121466e-05,
|
2269 |
+
"loss": 0.7656,
|
2270 |
+
"step": 188500
|
2271 |
+
},
|
2272 |
+
{
|
2273 |
+
"epoch": 2.17,
|
2274 |
+
"learning_rate": 1.3847124985653623e-05,
|
2275 |
+
"loss": 0.787,
|
2276 |
+
"step": 189000
|
2277 |
+
},
|
2278 |
+
{
|
2279 |
+
"epoch": 2.17,
|
2280 |
+
"learning_rate": 1.3751482459160641e-05,
|
2281 |
+
"loss": 0.7724,
|
2282 |
+
"step": 189500
|
2283 |
+
},
|
2284 |
+
{
|
2285 |
+
"epoch": 2.18,
|
2286 |
+
"learning_rate": 1.3655839932667664e-05,
|
2287 |
+
"loss": 0.7769,
|
2288 |
+
"step": 190000
|
2289 |
+
},
|
2290 |
+
{
|
2291 |
+
"epoch": 2.19,
|
2292 |
+
"learning_rate": 1.3560197406174683e-05,
|
2293 |
+
"loss": 0.7756,
|
2294 |
+
"step": 190500
|
2295 |
+
},
|
2296 |
+
{
|
2297 |
+
"epoch": 2.19,
|
2298 |
+
"learning_rate": 1.34645548796817e-05,
|
2299 |
+
"loss": 0.7903,
|
2300 |
+
"step": 191000
|
2301 |
+
},
|
2302 |
+
{
|
2303 |
+
"epoch": 2.2,
|
2304 |
+
"learning_rate": 1.3368912353188723e-05,
|
2305 |
+
"loss": 0.768,
|
2306 |
+
"step": 191500
|
2307 |
+
},
|
2308 |
+
{
|
2309 |
+
"epoch": 2.2,
|
2310 |
+
"learning_rate": 1.3273269826695741e-05,
|
2311 |
+
"loss": 0.7644,
|
2312 |
+
"step": 192000
|
2313 |
+
},
|
2314 |
+
{
|
2315 |
+
"epoch": 2.21,
|
2316 |
+
"learning_rate": 1.3177627300202764e-05,
|
2317 |
+
"loss": 0.786,
|
2318 |
+
"step": 192500
|
2319 |
+
},
|
2320 |
+
{
|
2321 |
+
"epoch": 2.22,
|
2322 |
+
"learning_rate": 1.3081984773709781e-05,
|
2323 |
+
"loss": 0.7771,
|
2324 |
+
"step": 193000
|
2325 |
+
},
|
2326 |
+
{
|
2327 |
+
"epoch": 2.22,
|
2328 |
+
"learning_rate": 1.2986342247216804e-05,
|
2329 |
+
"loss": 0.7729,
|
2330 |
+
"step": 193500
|
2331 |
+
},
|
2332 |
+
{
|
2333 |
+
"epoch": 2.23,
|
2334 |
+
"learning_rate": 1.2890699720723823e-05,
|
2335 |
+
"loss": 0.7497,
|
2336 |
+
"step": 194000
|
2337 |
+
},
|
2338 |
+
{
|
2339 |
+
"epoch": 2.23,
|
2340 |
+
"learning_rate": 1.2795057194230844e-05,
|
2341 |
+
"loss": 0.7685,
|
2342 |
+
"step": 194500
|
2343 |
+
},
|
2344 |
+
{
|
2345 |
+
"epoch": 2.24,
|
2346 |
+
"learning_rate": 1.2699414667737864e-05,
|
2347 |
+
"loss": 0.7723,
|
2348 |
+
"step": 195000
|
2349 |
+
},
|
2350 |
+
{
|
2351 |
+
"epoch": 2.24,
|
2352 |
+
"learning_rate": 1.2603772141244885e-05,
|
2353 |
+
"loss": 0.7732,
|
2354 |
+
"step": 195500
|
2355 |
+
},
|
2356 |
+
{
|
2357 |
+
"epoch": 2.25,
|
2358 |
+
"learning_rate": 1.2508129614751904e-05,
|
2359 |
+
"loss": 0.7737,
|
2360 |
+
"step": 196000
|
2361 |
+
},
|
2362 |
+
{
|
2363 |
+
"epoch": 2.26,
|
2364 |
+
"learning_rate": 1.2412487088258923e-05,
|
2365 |
+
"loss": 0.7818,
|
2366 |
+
"step": 196500
|
2367 |
+
},
|
2368 |
+
{
|
2369 |
+
"epoch": 2.26,
|
2370 |
+
"learning_rate": 1.2316844561765945e-05,
|
2371 |
+
"loss": 0.7829,
|
2372 |
+
"step": 197000
|
2373 |
+
},
|
2374 |
+
{
|
2375 |
+
"epoch": 2.27,
|
2376 |
+
"learning_rate": 1.2221202035272966e-05,
|
2377 |
+
"loss": 0.785,
|
2378 |
+
"step": 197500
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 2.27,
|
2382 |
+
"learning_rate": 1.2125559508779985e-05,
|
2383 |
+
"loss": 0.7778,
|
2384 |
+
"step": 198000
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 2.28,
|
2388 |
+
"learning_rate": 1.2029916982287006e-05,
|
2389 |
+
"loss": 0.7865,
|
2390 |
+
"step": 198500
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 2.28,
|
2394 |
+
"learning_rate": 1.1934274455794024e-05,
|
2395 |
+
"loss": 0.7675,
|
2396 |
+
"step": 199000
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 2.29,
|
2400 |
+
"learning_rate": 1.1838631929301045e-05,
|
2401 |
+
"loss": 0.7751,
|
2402 |
+
"step": 199500
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 2.3,
|
2406 |
+
"learning_rate": 1.1742989402808066e-05,
|
2407 |
+
"loss": 0.7961,
|
2408 |
+
"step": 200000
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 2.3,
|
2412 |
+
"learning_rate": 1.1647346876315085e-05,
|
2413 |
+
"loss": 0.7809,
|
2414 |
+
"step": 200500
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 2.31,
|
2418 |
+
"learning_rate": 1.1551704349822106e-05,
|
2419 |
+
"loss": 0.7711,
|
2420 |
+
"step": 201000
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 2.31,
|
2424 |
+
"learning_rate": 1.1456061823329125e-05,
|
2425 |
+
"loss": 0.7639,
|
2426 |
+
"step": 201500
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 2.32,
|
2430 |
+
"learning_rate": 1.1360419296836146e-05,
|
2431 |
+
"loss": 0.7762,
|
2432 |
+
"step": 202000
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 2.32,
|
2436 |
+
"learning_rate": 1.1264776770343166e-05,
|
2437 |
+
"loss": 0.769,
|
2438 |
+
"step": 202500
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 2.33,
|
2442 |
+
"learning_rate": 1.1169134243850187e-05,
|
2443 |
+
"loss": 0.7566,
|
2444 |
+
"step": 203000
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 2.34,
|
2448 |
+
"learning_rate": 1.1073491717357206e-05,
|
2449 |
+
"loss": 0.7649,
|
2450 |
+
"step": 203500
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 2.34,
|
2454 |
+
"learning_rate": 1.0977849190864227e-05,
|
2455 |
+
"loss": 0.7637,
|
2456 |
+
"step": 204000
|
2457 |
+
},
|
2458 |
+
{
|
2459 |
+
"epoch": 2.35,
|
2460 |
+
"learning_rate": 1.0882206664371246e-05,
|
2461 |
+
"loss": 0.7628,
|
2462 |
+
"step": 204500
|
2463 |
+
},
|
2464 |
+
{
|
2465 |
+
"epoch": 2.35,
|
2466 |
+
"learning_rate": 1.0786564137878266e-05,
|
2467 |
+
"loss": 0.7608,
|
2468 |
+
"step": 205000
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 2.36,
|
2472 |
+
"learning_rate": 1.0690921611385287e-05,
|
2473 |
+
"loss": 0.7568,
|
2474 |
+
"step": 205500
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 2.36,
|
2478 |
+
"learning_rate": 1.0595279084892306e-05,
|
2479 |
+
"loss": 0.7596,
|
2480 |
+
"step": 206000
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 2.37,
|
2484 |
+
"learning_rate": 1.0499636558399327e-05,
|
2485 |
+
"loss": 0.7685,
|
2486 |
+
"step": 206500
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 2.38,
|
2490 |
+
"learning_rate": 1.0403994031906348e-05,
|
2491 |
+
"loss": 0.7724,
|
2492 |
+
"step": 207000
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 2.38,
|
2496 |
+
"learning_rate": 1.0308351505413367e-05,
|
2497 |
+
"loss": 0.7586,
|
2498 |
+
"step": 207500
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 2.39,
|
2502 |
+
"learning_rate": 1.0212708978920388e-05,
|
2503 |
+
"loss": 0.7926,
|
2504 |
+
"step": 208000
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 2.39,
|
2508 |
+
"learning_rate": 1.0117066452427408e-05,
|
2509 |
+
"loss": 0.7744,
|
2510 |
+
"step": 208500
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 2.4,
|
2514 |
+
"learning_rate": 1.0021423925934429e-05,
|
2515 |
+
"loss": 0.767,
|
2516 |
+
"step": 209000
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 2.4,
|
2520 |
+
"learning_rate": 9.925781399441448e-06,
|
2521 |
+
"loss": 0.7737,
|
2522 |
+
"step": 209500
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 2.41,
|
2526 |
+
"learning_rate": 9.830138872948469e-06,
|
2527 |
+
"loss": 0.7559,
|
2528 |
+
"step": 210000
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 2.42,
|
2532 |
+
"learning_rate": 9.734496346455488e-06,
|
2533 |
+
"loss": 0.7792,
|
2534 |
+
"step": 210500
|
2535 |
+
},
|
2536 |
+
{
|
2537 |
+
"epoch": 2.42,
|
2538 |
+
"learning_rate": 9.638853819962508e-06,
|
2539 |
+
"loss": 0.7495,
|
2540 |
+
"step": 211000
|
2541 |
+
},
|
2542 |
+
{
|
2543 |
+
"epoch": 2.43,
|
2544 |
+
"learning_rate": 9.543211293469529e-06,
|
2545 |
+
"loss": 0.7755,
|
2546 |
+
"step": 211500
|
2547 |
+
},
|
2548 |
+
{
|
2549 |
+
"epoch": 2.43,
|
2550 |
+
"learning_rate": 9.447568766976548e-06,
|
2551 |
+
"loss": 0.7536,
|
2552 |
+
"step": 212000
|
2553 |
+
},
|
2554 |
+
{
|
2555 |
+
"epoch": 2.44,
|
2556 |
+
"learning_rate": 9.351926240483569e-06,
|
2557 |
+
"loss": 0.7668,
|
2558 |
+
"step": 212500
|
2559 |
+
},
|
2560 |
+
{
|
2561 |
+
"epoch": 2.44,
|
2562 |
+
"learning_rate": 9.256283713990588e-06,
|
2563 |
+
"loss": 0.7739,
|
2564 |
+
"step": 213000
|
2565 |
+
},
|
2566 |
+
{
|
2567 |
+
"epoch": 2.45,
|
2568 |
+
"learning_rate": 9.16064118749761e-06,
|
2569 |
+
"loss": 0.7482,
|
2570 |
+
"step": 213500
|
2571 |
+
},
|
2572 |
+
{
|
2573 |
+
"epoch": 2.46,
|
2574 |
+
"learning_rate": 9.06499866100463e-06,
|
2575 |
+
"loss": 0.76,
|
2576 |
+
"step": 214000
|
2577 |
+
},
|
2578 |
+
{
|
2579 |
+
"epoch": 2.46,
|
2580 |
+
"learning_rate": 8.96935613451165e-06,
|
2581 |
+
"loss": 0.7528,
|
2582 |
+
"step": 214500
|
2583 |
+
},
|
2584 |
+
{
|
2585 |
+
"epoch": 2.47,
|
2586 |
+
"learning_rate": 8.87371360801867e-06,
|
2587 |
+
"loss": 0.7576,
|
2588 |
+
"step": 215000
|
2589 |
+
},
|
2590 |
+
{
|
2591 |
+
"epoch": 2.47,
|
2592 |
+
"learning_rate": 8.77807108152569e-06,
|
2593 |
+
"loss": 0.76,
|
2594 |
+
"step": 215500
|
2595 |
+
},
|
2596 |
+
{
|
2597 |
+
"epoch": 2.48,
|
2598 |
+
"learning_rate": 8.682428555032711e-06,
|
2599 |
+
"loss": 0.7653,
|
2600 |
+
"step": 216000
|
2601 |
+
},
|
2602 |
+
{
|
2603 |
+
"epoch": 2.48,
|
2604 |
+
"learning_rate": 8.58678602853973e-06,
|
2605 |
+
"loss": 0.7608,
|
2606 |
+
"step": 216500
|
2607 |
+
},
|
2608 |
+
{
|
2609 |
+
"epoch": 2.49,
|
2610 |
+
"learning_rate": 8.49114350204675e-06,
|
2611 |
+
"loss": 0.7622,
|
2612 |
+
"step": 217000
|
2613 |
+
},
|
2614 |
+
{
|
2615 |
+
"epoch": 2.5,
|
2616 |
+
"learning_rate": 8.39550097555377e-06,
|
2617 |
+
"loss": 0.7623,
|
2618 |
+
"step": 217500
|
2619 |
+
},
|
2620 |
+
{
|
2621 |
+
"epoch": 2.5,
|
2622 |
+
"learning_rate": 8.29985844906079e-06,
|
2623 |
+
"loss": 0.7605,
|
2624 |
+
"step": 218000
|
2625 |
+
},
|
2626 |
+
{
|
2627 |
+
"epoch": 2.51,
|
2628 |
+
"learning_rate": 8.204215922567811e-06,
|
2629 |
+
"loss": 0.7544,
|
2630 |
+
"step": 218500
|
2631 |
+
},
|
2632 |
+
{
|
2633 |
+
"epoch": 2.51,
|
2634 |
+
"learning_rate": 8.10857339607483e-06,
|
2635 |
+
"loss": 0.7346,
|
2636 |
+
"step": 219000
|
2637 |
+
},
|
2638 |
+
{
|
2639 |
+
"epoch": 2.52,
|
2640 |
+
"learning_rate": 8.012930869581852e-06,
|
2641 |
+
"loss": 0.7602,
|
2642 |
+
"step": 219500
|
2643 |
+
},
|
2644 |
+
{
|
2645 |
+
"epoch": 2.52,
|
2646 |
+
"learning_rate": 7.917288343088871e-06,
|
2647 |
+
"loss": 0.7568,
|
2648 |
+
"step": 220000
|
2649 |
+
},
|
2650 |
+
{
|
2651 |
+
"epoch": 2.53,
|
2652 |
+
"learning_rate": 7.821645816595892e-06,
|
2653 |
+
"loss": 0.7711,
|
2654 |
+
"step": 220500
|
2655 |
+
},
|
2656 |
+
{
|
2657 |
+
"epoch": 2.54,
|
2658 |
+
"learning_rate": 7.726003290102913e-06,
|
2659 |
+
"loss": 0.7503,
|
2660 |
+
"step": 221000
|
2661 |
+
},
|
2662 |
+
{
|
2663 |
+
"epoch": 2.54,
|
2664 |
+
"learning_rate": 7.630360763609932e-06,
|
2665 |
+
"loss": 0.7546,
|
2666 |
+
"step": 221500
|
2667 |
+
},
|
2668 |
+
{
|
2669 |
+
"epoch": 2.55,
|
2670 |
+
"learning_rate": 7.5347182371169516e-06,
|
2671 |
+
"loss": 0.7692,
|
2672 |
+
"step": 222000
|
2673 |
+
},
|
2674 |
+
{
|
2675 |
+
"epoch": 2.55,
|
2676 |
+
"learning_rate": 7.439075710623972e-06,
|
2677 |
+
"loss": 0.7611,
|
2678 |
+
"step": 222500
|
2679 |
+
},
|
2680 |
+
{
|
2681 |
+
"epoch": 2.56,
|
2682 |
+
"learning_rate": 7.343433184130992e-06,
|
2683 |
+
"loss": 0.7646,
|
2684 |
+
"step": 223000
|
2685 |
+
},
|
2686 |
+
{
|
2687 |
+
"epoch": 2.57,
|
2688 |
+
"learning_rate": 7.247790657638012e-06,
|
2689 |
+
"loss": 0.7501,
|
2690 |
+
"step": 223500
|
2691 |
+
},
|
2692 |
+
{
|
2693 |
+
"epoch": 2.57,
|
2694 |
+
"learning_rate": 7.152148131145032e-06,
|
2695 |
+
"loss": 0.7527,
|
2696 |
+
"step": 224000
|
2697 |
+
},
|
2698 |
+
{
|
2699 |
+
"epoch": 2.58,
|
2700 |
+
"learning_rate": 7.0565056046520524e-06,
|
2701 |
+
"loss": 0.7455,
|
2702 |
+
"step": 224500
|
2703 |
+
},
|
2704 |
+
{
|
2705 |
+
"epoch": 2.58,
|
2706 |
+
"learning_rate": 6.9608630781590735e-06,
|
2707 |
+
"loss": 0.7604,
|
2708 |
+
"step": 225000
|
2709 |
+
},
|
2710 |
+
{
|
2711 |
+
"epoch": 2.59,
|
2712 |
+
"learning_rate": 6.865220551666094e-06,
|
2713 |
+
"loss": 0.7662,
|
2714 |
+
"step": 225500
|
2715 |
+
},
|
2716 |
+
{
|
2717 |
+
"epoch": 2.59,
|
2718 |
+
"learning_rate": 6.769578025173114e-06,
|
2719 |
+
"loss": 0.7655,
|
2720 |
+
"step": 226000
|
2721 |
+
},
|
2722 |
+
{
|
2723 |
+
"epoch": 2.6,
|
2724 |
+
"learning_rate": 6.673935498680134e-06,
|
2725 |
+
"loss": 0.7766,
|
2726 |
+
"step": 226500
|
2727 |
+
},
|
2728 |
+
{
|
2729 |
+
"epoch": 2.61,
|
2730 |
+
"learning_rate": 6.578292972187154e-06,
|
2731 |
+
"loss": 0.7608,
|
2732 |
+
"step": 227000
|
2733 |
+
},
|
2734 |
+
{
|
2735 |
+
"epoch": 2.61,
|
2736 |
+
"learning_rate": 6.482650445694174e-06,
|
2737 |
+
"loss": 0.7483,
|
2738 |
+
"step": 227500
|
2739 |
+
},
|
2740 |
+
{
|
2741 |
+
"epoch": 2.62,
|
2742 |
+
"learning_rate": 6.387007919201194e-06,
|
2743 |
+
"loss": 0.7557,
|
2744 |
+
"step": 228000
|
2745 |
+
},
|
2746 |
+
{
|
2747 |
+
"epoch": 2.62,
|
2748 |
+
"learning_rate": 6.291365392708214e-06,
|
2749 |
+
"loss": 0.7531,
|
2750 |
+
"step": 228500
|
2751 |
+
},
|
2752 |
+
{
|
2753 |
+
"epoch": 2.63,
|
2754 |
+
"learning_rate": 6.195722866215234e-06,
|
2755 |
+
"loss": 0.7524,
|
2756 |
+
"step": 229000
|
2757 |
+
},
|
2758 |
+
{
|
2759 |
+
"epoch": 2.63,
|
2760 |
+
"learning_rate": 6.100080339722254e-06,
|
2761 |
+
"loss": 0.7607,
|
2762 |
+
"step": 229500
|
2763 |
+
},
|
2764 |
+
{
|
2765 |
+
"epoch": 2.64,
|
2766 |
+
"learning_rate": 6.004437813229274e-06,
|
2767 |
+
"loss": 0.7506,
|
2768 |
+
"step": 230000
|
2769 |
+
},
|
2770 |
+
{
|
2771 |
+
"epoch": 2.65,
|
2772 |
+
"learning_rate": 5.9087952867362945e-06,
|
2773 |
+
"loss": 0.7462,
|
2774 |
+
"step": 230500
|
2775 |
+
},
|
2776 |
+
{
|
2777 |
+
"epoch": 2.65,
|
2778 |
+
"learning_rate": 5.813152760243315e-06,
|
2779 |
+
"loss": 0.7501,
|
2780 |
+
"step": 231000
|
2781 |
+
},
|
2782 |
+
{
|
2783 |
+
"epoch": 2.66,
|
2784 |
+
"learning_rate": 5.717510233750335e-06,
|
2785 |
+
"loss": 0.7492,
|
2786 |
+
"step": 231500
|
2787 |
+
},
|
2788 |
+
{
|
2789 |
+
"epoch": 2.66,
|
2790 |
+
"learning_rate": 5.621867707257355e-06,
|
2791 |
+
"loss": 0.7569,
|
2792 |
+
"step": 232000
|
2793 |
+
},
|
2794 |
+
{
|
2795 |
+
"epoch": 2.67,
|
2796 |
+
"learning_rate": 5.526225180764375e-06,
|
2797 |
+
"loss": 0.7493,
|
2798 |
+
"step": 232500
|
2799 |
+
},
|
2800 |
+
{
|
2801 |
+
"epoch": 2.67,
|
2802 |
+
"learning_rate": 5.430582654271395e-06,
|
2803 |
+
"loss": 0.7689,
|
2804 |
+
"step": 233000
|
2805 |
+
},
|
2806 |
+
{
|
2807 |
+
"epoch": 2.68,
|
2808 |
+
"learning_rate": 5.334940127778416e-06,
|
2809 |
+
"loss": 0.7448,
|
2810 |
+
"step": 233500
|
2811 |
+
},
|
2812 |
+
{
|
2813 |
+
"epoch": 2.69,
|
2814 |
+
"learning_rate": 5.239297601285436e-06,
|
2815 |
+
"loss": 0.7439,
|
2816 |
+
"step": 234000
|
2817 |
+
},
|
2818 |
+
{
|
2819 |
+
"epoch": 2.69,
|
2820 |
+
"learning_rate": 5.143655074792456e-06,
|
2821 |
+
"loss": 0.7449,
|
2822 |
+
"step": 234500
|
2823 |
+
},
|
2824 |
+
{
|
2825 |
+
"epoch": 2.7,
|
2826 |
+
"learning_rate": 5.048012548299476e-06,
|
2827 |
+
"loss": 0.7691,
|
2828 |
+
"step": 235000
|
2829 |
+
},
|
2830 |
+
{
|
2831 |
+
"epoch": 2.7,
|
2832 |
+
"learning_rate": 4.952370021806496e-06,
|
2833 |
+
"loss": 0.7518,
|
2834 |
+
"step": 235500
|
2835 |
+
},
|
2836 |
+
{
|
2837 |
+
"epoch": 2.71,
|
2838 |
+
"learning_rate": 4.8567274953135165e-06,
|
2839 |
+
"loss": 0.7381,
|
2840 |
+
"step": 236000
|
2841 |
+
},
|
2842 |
+
{
|
2843 |
+
"epoch": 2.71,
|
2844 |
+
"learning_rate": 4.761084968820537e-06,
|
2845 |
+
"loss": 0.7502,
|
2846 |
+
"step": 236500
|
2847 |
+
},
|
2848 |
+
{
|
2849 |
+
"epoch": 2.72,
|
2850 |
+
"learning_rate": 4.665442442327557e-06,
|
2851 |
+
"loss": 0.7556,
|
2852 |
+
"step": 237000
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 2.73,
|
2856 |
+
"learning_rate": 4.569799915834577e-06,
|
2857 |
+
"loss": 0.7539,
|
2858 |
+
"step": 237500
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 2.73,
|
2862 |
+
"learning_rate": 4.474157389341597e-06,
|
2863 |
+
"loss": 0.7576,
|
2864 |
+
"step": 238000
|
2865 |
+
},
|
2866 |
+
{
|
2867 |
+
"epoch": 2.74,
|
2868 |
+
"learning_rate": 4.378514862848617e-06,
|
2869 |
+
"loss": 0.748,
|
2870 |
+
"step": 238500
|
2871 |
+
},
|
2872 |
+
{
|
2873 |
+
"epoch": 2.74,
|
2874 |
+
"learning_rate": 4.2828723363556375e-06,
|
2875 |
+
"loss": 0.75,
|
2876 |
+
"step": 239000
|
2877 |
+
},
|
2878 |
+
{
|
2879 |
+
"epoch": 2.75,
|
2880 |
+
"learning_rate": 4.187229809862658e-06,
|
2881 |
+
"loss": 0.7615,
|
2882 |
+
"step": 239500
|
2883 |
+
},
|
2884 |
+
{
|
2885 |
+
"epoch": 2.75,
|
2886 |
+
"learning_rate": 4.091587283369678e-06,
|
2887 |
+
"loss": 0.7556,
|
2888 |
+
"step": 240000
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 2.76,
|
2892 |
+
"learning_rate": 3.995944756876697e-06,
|
2893 |
+
"loss": 0.7377,
|
2894 |
+
"step": 240500
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 2.77,
|
2898 |
+
"learning_rate": 3.900302230383718e-06,
|
2899 |
+
"loss": 0.753,
|
2900 |
+
"step": 241000
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 2.77,
|
2904 |
+
"learning_rate": 3.804659703890738e-06,
|
2905 |
+
"loss": 0.7488,
|
2906 |
+
"step": 241500
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 2.78,
|
2910 |
+
"learning_rate": 3.709017177397758e-06,
|
2911 |
+
"loss": 0.7529,
|
2912 |
+
"step": 242000
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 2.78,
|
2916 |
+
"learning_rate": 3.6133746509047787e-06,
|
2917 |
+
"loss": 0.7569,
|
2918 |
+
"step": 242500
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 2.79,
|
2922 |
+
"learning_rate": 3.517732124411799e-06,
|
2923 |
+
"loss": 0.7491,
|
2924 |
+
"step": 243000
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 2.79,
|
2928 |
+
"learning_rate": 3.4220895979188187e-06,
|
2929 |
+
"loss": 0.7499,
|
2930 |
+
"step": 243500
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 2.8,
|
2934 |
+
"learning_rate": 3.326447071425839e-06,
|
2935 |
+
"loss": 0.7421,
|
2936 |
+
"step": 244000
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 2.81,
|
2940 |
+
"learning_rate": 3.230804544932859e-06,
|
2941 |
+
"loss": 0.7479,
|
2942 |
+
"step": 244500
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 2.81,
|
2946 |
+
"learning_rate": 3.135162018439879e-06,
|
2947 |
+
"loss": 0.7477,
|
2948 |
+
"step": 245000
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 2.82,
|
2952 |
+
"learning_rate": 3.0395194919468998e-06,
|
2953 |
+
"loss": 0.7455,
|
2954 |
+
"step": 245500
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 2.82,
|
2958 |
+
"learning_rate": 2.9438769654539195e-06,
|
2959 |
+
"loss": 0.7472,
|
2960 |
+
"step": 246000
|
2961 |
+
},
|
2962 |
+
{
|
2963 |
+
"epoch": 2.83,
|
2964 |
+
"learning_rate": 2.8482344389609397e-06,
|
2965 |
+
"loss": 0.7456,
|
2966 |
+
"step": 246500
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 2.83,
|
2970 |
+
"learning_rate": 2.75259191246796e-06,
|
2971 |
+
"loss": 0.7286,
|
2972 |
+
"step": 247000
|
2973 |
+
},
|
2974 |
+
{
|
2975 |
+
"epoch": 2.84,
|
2976 |
+
"learning_rate": 2.65694938597498e-06,
|
2977 |
+
"loss": 0.7441,
|
2978 |
+
"step": 247500
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 2.85,
|
2982 |
+
"learning_rate": 2.5613068594820002e-06,
|
2983 |
+
"loss": 0.7449,
|
2984 |
+
"step": 248000
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 2.85,
|
2988 |
+
"learning_rate": 2.4656643329890204e-06,
|
2989 |
+
"loss": 0.7436,
|
2990 |
+
"step": 248500
|
2991 |
+
},
|
2992 |
+
{
|
2993 |
+
"epoch": 2.86,
|
2994 |
+
"learning_rate": 2.3700218064960406e-06,
|
2995 |
+
"loss": 0.7604,
|
2996 |
+
"step": 249000
|
2997 |
+
},
|
2998 |
+
{
|
2999 |
+
"epoch": 2.86,
|
3000 |
+
"learning_rate": 2.2743792800030608e-06,
|
3001 |
+
"loss": 0.7406,
|
3002 |
+
"step": 249500
|
3003 |
+
},
|
3004 |
+
{
|
3005 |
+
"epoch": 2.87,
|
3006 |
+
"learning_rate": 2.1787367535100805e-06,
|
3007 |
+
"loss": 0.7466,
|
3008 |
+
"step": 250000
|
3009 |
+
},
|
3010 |
+
{
|
3011 |
+
"epoch": 2.88,
|
3012 |
+
"learning_rate": 2.083094227017101e-06,
|
3013 |
+
"loss": 0.7616,
|
3014 |
+
"step": 250500
|
3015 |
+
},
|
3016 |
+
{
|
3017 |
+
"epoch": 2.88,
|
3018 |
+
"learning_rate": 1.9874517005241213e-06,
|
3019 |
+
"loss": 0.7614,
|
3020 |
+
"step": 251000
|
3021 |
+
},
|
3022 |
+
{
|
3023 |
+
"epoch": 2.89,
|
3024 |
+
"learning_rate": 1.8918091740311412e-06,
|
3025 |
+
"loss": 0.7505,
|
3026 |
+
"step": 251500
|
3027 |
+
},
|
3028 |
+
{
|
3029 |
+
"epoch": 2.89,
|
3030 |
+
"learning_rate": 1.7961666475381614e-06,
|
3031 |
+
"loss": 0.7455,
|
3032 |
+
"step": 252000
|
3033 |
+
},
|
3034 |
+
{
|
3035 |
+
"epoch": 2.9,
|
3036 |
+
"learning_rate": 1.7005241210451818e-06,
|
3037 |
+
"loss": 0.7404,
|
3038 |
+
"step": 252500
|
3039 |
+
},
|
3040 |
+
{
|
3041 |
+
"epoch": 2.9,
|
3042 |
+
"learning_rate": 1.6048815945522018e-06,
|
3043 |
+
"loss": 0.7533,
|
3044 |
+
"step": 253000
|
3045 |
+
},
|
3046 |
+
{
|
3047 |
+
"epoch": 2.91,
|
3048 |
+
"learning_rate": 1.509239068059222e-06,
|
3049 |
+
"loss": 0.7517,
|
3050 |
+
"step": 253500
|
3051 |
+
},
|
3052 |
+
{
|
3053 |
+
"epoch": 2.92,
|
3054 |
+
"learning_rate": 1.4135965415662421e-06,
|
3055 |
+
"loss": 0.7398,
|
3056 |
+
"step": 254000
|
3057 |
+
},
|
3058 |
+
{
|
3059 |
+
"epoch": 2.92,
|
3060 |
+
"learning_rate": 1.3179540150732623e-06,
|
3061 |
+
"loss": 0.7283,
|
3062 |
+
"step": 254500
|
3063 |
+
},
|
3064 |
+
{
|
3065 |
+
"epoch": 2.93,
|
3066 |
+
"learning_rate": 1.2223114885802825e-06,
|
3067 |
+
"loss": 0.7251,
|
3068 |
+
"step": 255000
|
3069 |
+
},
|
3070 |
+
{
|
3071 |
+
"epoch": 2.93,
|
3072 |
+
"learning_rate": 1.1266689620873024e-06,
|
3073 |
+
"loss": 0.7506,
|
3074 |
+
"step": 255500
|
3075 |
+
},
|
3076 |
+
{
|
3077 |
+
"epoch": 2.94,
|
3078 |
+
"learning_rate": 1.0310264355943226e-06,
|
3079 |
+
"loss": 0.7402,
|
3080 |
+
"step": 256000
|
3081 |
+
},
|
3082 |
+
{
|
3083 |
+
"epoch": 2.94,
|
3084 |
+
"learning_rate": 9.353839091013429e-07,
|
3085 |
+
"loss": 0.7402,
|
3086 |
+
"step": 256500
|
3087 |
+
},
|
3088 |
+
{
|
3089 |
+
"epoch": 2.95,
|
3090 |
+
"learning_rate": 8.397413826083631e-07,
|
3091 |
+
"loss": 0.7381,
|
3092 |
+
"step": 257000
|
3093 |
+
},
|
3094 |
+
{
|
3095 |
+
"epoch": 2.96,
|
3096 |
+
"learning_rate": 7.440988561153832e-07,
|
3097 |
+
"loss": 0.7342,
|
3098 |
+
"step": 257500
|
3099 |
+
},
|
3100 |
+
{
|
3101 |
+
"epoch": 2.96,
|
3102 |
+
"learning_rate": 6.484563296224033e-07,
|
3103 |
+
"loss": 0.74,
|
3104 |
+
"step": 258000
|
3105 |
+
},
|
3106 |
+
{
|
3107 |
+
"epoch": 2.97,
|
3108 |
+
"learning_rate": 5.528138031294235e-07,
|
3109 |
+
"loss": 0.7527,
|
3110 |
+
"step": 258500
|
3111 |
+
},
|
3112 |
+
{
|
3113 |
+
"epoch": 2.97,
|
3114 |
+
"learning_rate": 4.571712766364437e-07,
|
3115 |
+
"loss": 0.7476,
|
3116 |
+
"step": 259000
|
3117 |
+
},
|
3118 |
+
{
|
3119 |
+
"epoch": 2.98,
|
3120 |
+
"learning_rate": 3.6152875014346377e-07,
|
3121 |
+
"loss": 0.741,
|
3122 |
+
"step": 259500
|
3123 |
+
},
|
3124 |
+
{
|
3125 |
+
"epoch": 2.98,
|
3126 |
+
"learning_rate": 2.65886223650484e-07,
|
3127 |
+
"loss": 0.748,
|
3128 |
+
"step": 260000
|
3129 |
+
},
|
3130 |
+
{
|
3131 |
+
"epoch": 2.99,
|
3132 |
+
"learning_rate": 1.7024369715750412e-07,
|
3133 |
+
"loss": 0.7441,
|
3134 |
+
"step": 260500
|
3135 |
+
},
|
3136 |
+
{
|
3137 |
+
"epoch": 3.0,
|
3138 |
+
"learning_rate": 7.460117066452428e-08,
|
3139 |
+
"loss": 0.7257,
|
3140 |
+
"step": 261000
|
3141 |
+
},
|
3142 |
+
{
|
3143 |
+
"epoch": 3.0,
|
3144 |
+
"step": 261390,
|
3145 |
+
"total_flos": 4.60844775936e+17,
|
3146 |
+
"train_loss": 0.9857338986367055,
|
3147 |
+
"train_runtime": 73080.7529,
|
3148 |
+
"train_samples_per_second": 35.767,
|
3149 |
+
"train_steps_per_second": 3.577
|
3150 |
+
}
|
3151 |
+
],
|
3152 |
+
"max_steps": 261390,
|
3153 |
+
"num_train_epochs": 3,
|
3154 |
+
"total_flos": 4.60844775936e+17,
|
3155 |
+
"trial_name": null,
|
3156 |
+
"trial_params": null
|
3157 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:f7e420c5211072cfd844ac521676ba6d53e01e2864ea5cb011a5bab13578a014
|
3 |
+
size 2799
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|