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 +1543 -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": 15.6096,
|
4 |
+
"eval_gen_len": 23.7593,
|
5 |
+
"eval_loss": 2.3701624870300293,
|
6 |
+
"eval_runtime": 311.4621,
|
7 |
+
"eval_samples": 1500,
|
8 |
+
"eval_samples_per_second": 4.816,
|
9 |
+
"eval_steps_per_second": 0.482,
|
10 |
+
"predict_bleu": 20.4557,
|
11 |
+
"predict_gen_len": 22.912,
|
12 |
+
"predict_loss": 2.0914700031280518,
|
13 |
+
"predict_runtime": 309.0499,
|
14 |
+
"predict_samples": 1500,
|
15 |
+
"predict_samples_per_second": 4.854,
|
16 |
+
"predict_steps_per_second": 0.485,
|
17 |
+
"train_loss": 1.3316941024496511,
|
18 |
+
"train_runtime": 32427.393,
|
19 |
+
"train_samples": 421931,
|
20 |
+
"train_samples_per_second": 39.035,
|
21 |
+
"train_steps_per_second": 3.904
|
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": 15.6096,
|
4 |
+
"eval_gen_len": 23.7593,
|
5 |
+
"eval_loss": 2.3701624870300293,
|
6 |
+
"eval_runtime": 311.4621,
|
7 |
+
"eval_samples": 1500,
|
8 |
+
"eval_samples_per_second": 4.816,
|
9 |
+
"eval_steps_per_second": 0.482
|
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": 20.4557,
|
3 |
+
"predict_gen_len": 22.912,
|
4 |
+
"predict_loss": 2.0914700031280518,
|
5 |
+
"predict_runtime": 309.0499,
|
6 |
+
"predict_samples": 1500,
|
7 |
+
"predict_samples_per_second": 4.854,
|
8 |
+
"predict_steps_per_second": 0.485
|
9 |
+
}
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8c4e9d578a02700b32c9faf425b8ac169ce9bcb1aa07a5b7d45ac84c732a641d
|
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": 1.3316941024496511,
|
4 |
+
"train_runtime": 32427.393,
|
5 |
+
"train_samples": 421931,
|
6 |
+
"train_samples_per_second": 39.035,
|
7 |
+
"train_steps_per_second": 3.904
|
8 |
+
}
|
trainer_state.json
ADDED
@@ -0,0 +1,1543 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 3.0,
|
5 |
+
"global_step": 126582,
|
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": 4.9802499565499043e-05,
|
13 |
+
"loss": 2.8425,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.02,
|
18 |
+
"learning_rate": 4.960499913099809e-05,
|
19 |
+
"loss": 2.4736,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.04,
|
24 |
+
"learning_rate": 4.940749869649713e-05,
|
25 |
+
"loss": 2.298,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.05,
|
30 |
+
"learning_rate": 4.9209998261996174e-05,
|
31 |
+
"loss": 2.235,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.06,
|
36 |
+
"learning_rate": 4.901249782749522e-05,
|
37 |
+
"loss": 2.1605,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 0.07,
|
42 |
+
"learning_rate": 4.881499739299427e-05,
|
43 |
+
"loss": 2.083,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 0.08,
|
48 |
+
"learning_rate": 4.861749695849331e-05,
|
49 |
+
"loss": 2.0588,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 0.09,
|
54 |
+
"learning_rate": 4.841999652399236e-05,
|
55 |
+
"loss": 2.0555,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 0.11,
|
60 |
+
"learning_rate": 4.82224960894914e-05,
|
61 |
+
"loss": 2.0182,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 0.12,
|
66 |
+
"learning_rate": 4.802499565499045e-05,
|
67 |
+
"loss": 1.9641,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 0.13,
|
72 |
+
"learning_rate": 4.782749522048949e-05,
|
73 |
+
"loss": 1.9383,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 0.14,
|
78 |
+
"learning_rate": 4.762999478598853e-05,
|
79 |
+
"loss": 1.9275,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 0.15,
|
84 |
+
"learning_rate": 4.743249435148758e-05,
|
85 |
+
"loss": 1.8923,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 0.17,
|
90 |
+
"learning_rate": 4.723499391698662e-05,
|
91 |
+
"loss": 1.8957,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 0.18,
|
96 |
+
"learning_rate": 4.703749348248566e-05,
|
97 |
+
"loss": 1.8787,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 0.19,
|
102 |
+
"learning_rate": 4.683999304798471e-05,
|
103 |
+
"loss": 1.8516,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 0.2,
|
108 |
+
"learning_rate": 4.664249261348375e-05,
|
109 |
+
"loss": 1.8373,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 0.21,
|
114 |
+
"learning_rate": 4.6444992178982796e-05,
|
115 |
+
"loss": 1.7909,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 0.23,
|
120 |
+
"learning_rate": 4.6247491744481844e-05,
|
121 |
+
"loss": 1.8034,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 0.24,
|
126 |
+
"learning_rate": 4.6049991309980885e-05,
|
127 |
+
"loss": 1.8101,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 0.25,
|
132 |
+
"learning_rate": 4.585249087547993e-05,
|
133 |
+
"loss": 1.7702,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 0.26,
|
138 |
+
"learning_rate": 4.5654990440978974e-05,
|
139 |
+
"loss": 1.7727,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 0.27,
|
144 |
+
"learning_rate": 4.5457490006478016e-05,
|
145 |
+
"loss": 1.7602,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 0.28,
|
150 |
+
"learning_rate": 4.5259989571977063e-05,
|
151 |
+
"loss": 1.761,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 0.3,
|
156 |
+
"learning_rate": 4.5062489137476105e-05,
|
157 |
+
"loss": 1.7219,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 0.31,
|
162 |
+
"learning_rate": 4.4864988702975146e-05,
|
163 |
+
"loss": 1.7497,
|
164 |
+
"step": 13000
|
165 |
+
},
|
166 |
+
{
|
167 |
+
"epoch": 0.32,
|
168 |
+
"learning_rate": 4.4667488268474193e-05,
|
169 |
+
"loss": 1.7244,
|
170 |
+
"step": 13500
|
171 |
+
},
|
172 |
+
{
|
173 |
+
"epoch": 0.33,
|
174 |
+
"learning_rate": 4.4469987833973235e-05,
|
175 |
+
"loss": 1.7144,
|
176 |
+
"step": 14000
|
177 |
+
},
|
178 |
+
{
|
179 |
+
"epoch": 0.34,
|
180 |
+
"learning_rate": 4.4272487399472276e-05,
|
181 |
+
"loss": 1.6983,
|
182 |
+
"step": 14500
|
183 |
+
},
|
184 |
+
{
|
185 |
+
"epoch": 0.36,
|
186 |
+
"learning_rate": 4.4074986964971324e-05,
|
187 |
+
"loss": 1.6779,
|
188 |
+
"step": 15000
|
189 |
+
},
|
190 |
+
{
|
191 |
+
"epoch": 0.37,
|
192 |
+
"learning_rate": 4.387748653047037e-05,
|
193 |
+
"loss": 1.676,
|
194 |
+
"step": 15500
|
195 |
+
},
|
196 |
+
{
|
197 |
+
"epoch": 0.38,
|
198 |
+
"learning_rate": 4.367998609596941e-05,
|
199 |
+
"loss": 1.6737,
|
200 |
+
"step": 16000
|
201 |
+
},
|
202 |
+
{
|
203 |
+
"epoch": 0.39,
|
204 |
+
"learning_rate": 4.348248566146846e-05,
|
205 |
+
"loss": 1.6605,
|
206 |
+
"step": 16500
|
207 |
+
},
|
208 |
+
{
|
209 |
+
"epoch": 0.4,
|
210 |
+
"learning_rate": 4.32849852269675e-05,
|
211 |
+
"loss": 1.6591,
|
212 |
+
"step": 17000
|
213 |
+
},
|
214 |
+
{
|
215 |
+
"epoch": 0.41,
|
216 |
+
"learning_rate": 4.308748479246655e-05,
|
217 |
+
"loss": 1.6598,
|
218 |
+
"step": 17500
|
219 |
+
},
|
220 |
+
{
|
221 |
+
"epoch": 0.43,
|
222 |
+
"learning_rate": 4.288998435796559e-05,
|
223 |
+
"loss": 1.6579,
|
224 |
+
"step": 18000
|
225 |
+
},
|
226 |
+
{
|
227 |
+
"epoch": 0.44,
|
228 |
+
"learning_rate": 4.269248392346463e-05,
|
229 |
+
"loss": 1.6587,
|
230 |
+
"step": 18500
|
231 |
+
},
|
232 |
+
{
|
233 |
+
"epoch": 0.45,
|
234 |
+
"learning_rate": 4.249498348896368e-05,
|
235 |
+
"loss": 1.65,
|
236 |
+
"step": 19000
|
237 |
+
},
|
238 |
+
{
|
239 |
+
"epoch": 0.46,
|
240 |
+
"learning_rate": 4.229748305446272e-05,
|
241 |
+
"loss": 1.6399,
|
242 |
+
"step": 19500
|
243 |
+
},
|
244 |
+
{
|
245 |
+
"epoch": 0.47,
|
246 |
+
"learning_rate": 4.209998261996176e-05,
|
247 |
+
"loss": 1.6409,
|
248 |
+
"step": 20000
|
249 |
+
},
|
250 |
+
{
|
251 |
+
"epoch": 0.49,
|
252 |
+
"learning_rate": 4.190248218546081e-05,
|
253 |
+
"loss": 1.6167,
|
254 |
+
"step": 20500
|
255 |
+
},
|
256 |
+
{
|
257 |
+
"epoch": 0.5,
|
258 |
+
"learning_rate": 4.170498175095985e-05,
|
259 |
+
"loss": 1.6468,
|
260 |
+
"step": 21000
|
261 |
+
},
|
262 |
+
{
|
263 |
+
"epoch": 0.51,
|
264 |
+
"learning_rate": 4.15074813164589e-05,
|
265 |
+
"loss": 1.6084,
|
266 |
+
"step": 21500
|
267 |
+
},
|
268 |
+
{
|
269 |
+
"epoch": 0.52,
|
270 |
+
"learning_rate": 4.1309980881957946e-05,
|
271 |
+
"loss": 1.6214,
|
272 |
+
"step": 22000
|
273 |
+
},
|
274 |
+
{
|
275 |
+
"epoch": 0.53,
|
276 |
+
"learning_rate": 4.111248044745699e-05,
|
277 |
+
"loss": 1.6254,
|
278 |
+
"step": 22500
|
279 |
+
},
|
280 |
+
{
|
281 |
+
"epoch": 0.55,
|
282 |
+
"learning_rate": 4.091498001295603e-05,
|
283 |
+
"loss": 1.5892,
|
284 |
+
"step": 23000
|
285 |
+
},
|
286 |
+
{
|
287 |
+
"epoch": 0.56,
|
288 |
+
"learning_rate": 4.0717479578455077e-05,
|
289 |
+
"loss": 1.5746,
|
290 |
+
"step": 23500
|
291 |
+
},
|
292 |
+
{
|
293 |
+
"epoch": 0.57,
|
294 |
+
"learning_rate": 4.051997914395412e-05,
|
295 |
+
"loss": 1.5701,
|
296 |
+
"step": 24000
|
297 |
+
},
|
298 |
+
{
|
299 |
+
"epoch": 0.58,
|
300 |
+
"learning_rate": 4.0322478709453166e-05,
|
301 |
+
"loss": 1.6088,
|
302 |
+
"step": 24500
|
303 |
+
},
|
304 |
+
{
|
305 |
+
"epoch": 0.59,
|
306 |
+
"learning_rate": 4.012497827495221e-05,
|
307 |
+
"loss": 1.5952,
|
308 |
+
"step": 25000
|
309 |
+
},
|
310 |
+
{
|
311 |
+
"epoch": 0.6,
|
312 |
+
"learning_rate": 3.992747784045125e-05,
|
313 |
+
"loss": 1.5561,
|
314 |
+
"step": 25500
|
315 |
+
},
|
316 |
+
{
|
317 |
+
"epoch": 0.62,
|
318 |
+
"learning_rate": 3.9729977405950296e-05,
|
319 |
+
"loss": 1.5707,
|
320 |
+
"step": 26000
|
321 |
+
},
|
322 |
+
{
|
323 |
+
"epoch": 0.63,
|
324 |
+
"learning_rate": 3.953247697144934e-05,
|
325 |
+
"loss": 1.5582,
|
326 |
+
"step": 26500
|
327 |
+
},
|
328 |
+
{
|
329 |
+
"epoch": 0.64,
|
330 |
+
"learning_rate": 3.9334976536948385e-05,
|
331 |
+
"loss": 1.5612,
|
332 |
+
"step": 27000
|
333 |
+
},
|
334 |
+
{
|
335 |
+
"epoch": 0.65,
|
336 |
+
"learning_rate": 3.9137476102447426e-05,
|
337 |
+
"loss": 1.5552,
|
338 |
+
"step": 27500
|
339 |
+
},
|
340 |
+
{
|
341 |
+
"epoch": 0.66,
|
342 |
+
"learning_rate": 3.8939975667946474e-05,
|
343 |
+
"loss": 1.5632,
|
344 |
+
"step": 28000
|
345 |
+
},
|
346 |
+
{
|
347 |
+
"epoch": 0.68,
|
348 |
+
"learning_rate": 3.8742475233445515e-05,
|
349 |
+
"loss": 1.538,
|
350 |
+
"step": 28500
|
351 |
+
},
|
352 |
+
{
|
353 |
+
"epoch": 0.69,
|
354 |
+
"learning_rate": 3.854497479894456e-05,
|
355 |
+
"loss": 1.5257,
|
356 |
+
"step": 29000
|
357 |
+
},
|
358 |
+
{
|
359 |
+
"epoch": 0.7,
|
360 |
+
"learning_rate": 3.8347474364443604e-05,
|
361 |
+
"loss": 1.5355,
|
362 |
+
"step": 29500
|
363 |
+
},
|
364 |
+
{
|
365 |
+
"epoch": 0.71,
|
366 |
+
"learning_rate": 3.8149973929942645e-05,
|
367 |
+
"loss": 1.5233,
|
368 |
+
"step": 30000
|
369 |
+
},
|
370 |
+
{
|
371 |
+
"epoch": 0.72,
|
372 |
+
"learning_rate": 3.795247349544169e-05,
|
373 |
+
"loss": 1.5154,
|
374 |
+
"step": 30500
|
375 |
+
},
|
376 |
+
{
|
377 |
+
"epoch": 0.73,
|
378 |
+
"learning_rate": 3.7754973060940734e-05,
|
379 |
+
"loss": 1.5493,
|
380 |
+
"step": 31000
|
381 |
+
},
|
382 |
+
{
|
383 |
+
"epoch": 0.75,
|
384 |
+
"learning_rate": 3.755747262643978e-05,
|
385 |
+
"loss": 1.5327,
|
386 |
+
"step": 31500
|
387 |
+
},
|
388 |
+
{
|
389 |
+
"epoch": 0.76,
|
390 |
+
"learning_rate": 3.735997219193882e-05,
|
391 |
+
"loss": 1.5255,
|
392 |
+
"step": 32000
|
393 |
+
},
|
394 |
+
{
|
395 |
+
"epoch": 0.77,
|
396 |
+
"learning_rate": 3.7162471757437864e-05,
|
397 |
+
"loss": 1.51,
|
398 |
+
"step": 32500
|
399 |
+
},
|
400 |
+
{
|
401 |
+
"epoch": 0.78,
|
402 |
+
"learning_rate": 3.696497132293691e-05,
|
403 |
+
"loss": 1.5122,
|
404 |
+
"step": 33000
|
405 |
+
},
|
406 |
+
{
|
407 |
+
"epoch": 0.79,
|
408 |
+
"learning_rate": 3.676747088843596e-05,
|
409 |
+
"loss": 1.5006,
|
410 |
+
"step": 33500
|
411 |
+
},
|
412 |
+
{
|
413 |
+
"epoch": 0.81,
|
414 |
+
"learning_rate": 3.6569970453935e-05,
|
415 |
+
"loss": 1.5106,
|
416 |
+
"step": 34000
|
417 |
+
},
|
418 |
+
{
|
419 |
+
"epoch": 0.82,
|
420 |
+
"learning_rate": 3.637247001943405e-05,
|
421 |
+
"loss": 1.5031,
|
422 |
+
"step": 34500
|
423 |
+
},
|
424 |
+
{
|
425 |
+
"epoch": 0.83,
|
426 |
+
"learning_rate": 3.617496958493309e-05,
|
427 |
+
"loss": 1.5024,
|
428 |
+
"step": 35000
|
429 |
+
},
|
430 |
+
{
|
431 |
+
"epoch": 0.84,
|
432 |
+
"learning_rate": 3.597746915043213e-05,
|
433 |
+
"loss": 1.5231,
|
434 |
+
"step": 35500
|
435 |
+
},
|
436 |
+
{
|
437 |
+
"epoch": 0.85,
|
438 |
+
"learning_rate": 3.577996871593118e-05,
|
439 |
+
"loss": 1.5271,
|
440 |
+
"step": 36000
|
441 |
+
},
|
442 |
+
{
|
443 |
+
"epoch": 0.87,
|
444 |
+
"learning_rate": 3.558246828143022e-05,
|
445 |
+
"loss": 1.508,
|
446 |
+
"step": 36500
|
447 |
+
},
|
448 |
+
{
|
449 |
+
"epoch": 0.88,
|
450 |
+
"learning_rate": 3.538496784692926e-05,
|
451 |
+
"loss": 1.4859,
|
452 |
+
"step": 37000
|
453 |
+
},
|
454 |
+
{
|
455 |
+
"epoch": 0.89,
|
456 |
+
"learning_rate": 3.518746741242831e-05,
|
457 |
+
"loss": 1.4864,
|
458 |
+
"step": 37500
|
459 |
+
},
|
460 |
+
{
|
461 |
+
"epoch": 0.9,
|
462 |
+
"learning_rate": 3.498996697792735e-05,
|
463 |
+
"loss": 1.5045,
|
464 |
+
"step": 38000
|
465 |
+
},
|
466 |
+
{
|
467 |
+
"epoch": 0.91,
|
468 |
+
"learning_rate": 3.47924665434264e-05,
|
469 |
+
"loss": 1.4773,
|
470 |
+
"step": 38500
|
471 |
+
},
|
472 |
+
{
|
473 |
+
"epoch": 0.92,
|
474 |
+
"learning_rate": 3.459496610892544e-05,
|
475 |
+
"loss": 1.4704,
|
476 |
+
"step": 39000
|
477 |
+
},
|
478 |
+
{
|
479 |
+
"epoch": 0.94,
|
480 |
+
"learning_rate": 3.439746567442449e-05,
|
481 |
+
"loss": 1.4816,
|
482 |
+
"step": 39500
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 0.95,
|
486 |
+
"learning_rate": 3.4199965239923535e-05,
|
487 |
+
"loss": 1.4899,
|
488 |
+
"step": 40000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 0.96,
|
492 |
+
"learning_rate": 3.4002464805422576e-05,
|
493 |
+
"loss": 1.463,
|
494 |
+
"step": 40500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 0.97,
|
498 |
+
"learning_rate": 3.380496437092162e-05,
|
499 |
+
"loss": 1.4847,
|
500 |
+
"step": 41000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 0.98,
|
504 |
+
"learning_rate": 3.3607463936420665e-05,
|
505 |
+
"loss": 1.478,
|
506 |
+
"step": 41500
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 1.0,
|
510 |
+
"learning_rate": 3.3409963501919706e-05,
|
511 |
+
"loss": 1.4617,
|
512 |
+
"step": 42000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 1.01,
|
516 |
+
"learning_rate": 3.321246306741875e-05,
|
517 |
+
"loss": 1.3742,
|
518 |
+
"step": 42500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 1.02,
|
522 |
+
"learning_rate": 3.3014962632917795e-05,
|
523 |
+
"loss": 1.3036,
|
524 |
+
"step": 43000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 1.03,
|
528 |
+
"learning_rate": 3.2817462198416836e-05,
|
529 |
+
"loss": 1.3172,
|
530 |
+
"step": 43500
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 1.04,
|
534 |
+
"learning_rate": 3.261996176391588e-05,
|
535 |
+
"loss": 1.2944,
|
536 |
+
"step": 44000
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 1.05,
|
540 |
+
"learning_rate": 3.2422461329414925e-05,
|
541 |
+
"loss": 1.319,
|
542 |
+
"step": 44500
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 1.07,
|
546 |
+
"learning_rate": 3.2224960894913966e-05,
|
547 |
+
"loss": 1.3015,
|
548 |
+
"step": 45000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 1.08,
|
552 |
+
"learning_rate": 3.2027460460413014e-05,
|
553 |
+
"loss": 1.3011,
|
554 |
+
"step": 45500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 1.09,
|
558 |
+
"learning_rate": 3.182996002591206e-05,
|
559 |
+
"loss": 1.295,
|
560 |
+
"step": 46000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 1.1,
|
564 |
+
"learning_rate": 3.16324595914111e-05,
|
565 |
+
"loss": 1.2994,
|
566 |
+
"step": 46500
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 1.11,
|
570 |
+
"learning_rate": 3.143495915691015e-05,
|
571 |
+
"loss": 1.3215,
|
572 |
+
"step": 47000
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 1.13,
|
576 |
+
"learning_rate": 3.123745872240919e-05,
|
577 |
+
"loss": 1.3197,
|
578 |
+
"step": 47500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 1.14,
|
582 |
+
"learning_rate": 3.103995828790823e-05,
|
583 |
+
"loss": 1.3114,
|
584 |
+
"step": 48000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 1.15,
|
588 |
+
"learning_rate": 3.084245785340728e-05,
|
589 |
+
"loss": 1.2988,
|
590 |
+
"step": 48500
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 1.16,
|
594 |
+
"learning_rate": 3.064495741890632e-05,
|
595 |
+
"loss": 1.3004,
|
596 |
+
"step": 49000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 1.17,
|
600 |
+
"learning_rate": 3.0447456984405366e-05,
|
601 |
+
"loss": 1.275,
|
602 |
+
"step": 49500
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 1.19,
|
606 |
+
"learning_rate": 3.024995654990441e-05,
|
607 |
+
"loss": 1.2822,
|
608 |
+
"step": 50000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 1.2,
|
612 |
+
"learning_rate": 3.0052456115403455e-05,
|
613 |
+
"loss": 1.3113,
|
614 |
+
"step": 50500
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 1.21,
|
618 |
+
"learning_rate": 2.9854955680902503e-05,
|
619 |
+
"loss": 1.3087,
|
620 |
+
"step": 51000
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 1.22,
|
624 |
+
"learning_rate": 2.9657455246401544e-05,
|
625 |
+
"loss": 1.3039,
|
626 |
+
"step": 51500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 1.23,
|
630 |
+
"learning_rate": 2.9459954811900585e-05,
|
631 |
+
"loss": 1.2772,
|
632 |
+
"step": 52000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 1.24,
|
636 |
+
"learning_rate": 2.9262454377399633e-05,
|
637 |
+
"loss": 1.2918,
|
638 |
+
"step": 52500
|
639 |
+
},
|
640 |
+
{
|
641 |
+
"epoch": 1.26,
|
642 |
+
"learning_rate": 2.9064953942898678e-05,
|
643 |
+
"loss": 1.2815,
|
644 |
+
"step": 53000
|
645 |
+
},
|
646 |
+
{
|
647 |
+
"epoch": 1.27,
|
648 |
+
"learning_rate": 2.886745350839772e-05,
|
649 |
+
"loss": 1.3004,
|
650 |
+
"step": 53500
|
651 |
+
},
|
652 |
+
{
|
653 |
+
"epoch": 1.28,
|
654 |
+
"learning_rate": 2.8669953073896767e-05,
|
655 |
+
"loss": 1.2761,
|
656 |
+
"step": 54000
|
657 |
+
},
|
658 |
+
{
|
659 |
+
"epoch": 1.29,
|
660 |
+
"learning_rate": 2.8472452639395808e-05,
|
661 |
+
"loss": 1.2927,
|
662 |
+
"step": 54500
|
663 |
+
},
|
664 |
+
{
|
665 |
+
"epoch": 1.3,
|
666 |
+
"learning_rate": 2.827495220489485e-05,
|
667 |
+
"loss": 1.2815,
|
668 |
+
"step": 55000
|
669 |
+
},
|
670 |
+
{
|
671 |
+
"epoch": 1.32,
|
672 |
+
"learning_rate": 2.8077451770393897e-05,
|
673 |
+
"loss": 1.27,
|
674 |
+
"step": 55500
|
675 |
+
},
|
676 |
+
{
|
677 |
+
"epoch": 1.33,
|
678 |
+
"learning_rate": 2.787995133589294e-05,
|
679 |
+
"loss": 1.2928,
|
680 |
+
"step": 56000
|
681 |
+
},
|
682 |
+
{
|
683 |
+
"epoch": 1.34,
|
684 |
+
"learning_rate": 2.7682450901391982e-05,
|
685 |
+
"loss": 1.2752,
|
686 |
+
"step": 56500
|
687 |
+
},
|
688 |
+
{
|
689 |
+
"epoch": 1.35,
|
690 |
+
"learning_rate": 2.748495046689103e-05,
|
691 |
+
"loss": 1.2935,
|
692 |
+
"step": 57000
|
693 |
+
},
|
694 |
+
{
|
695 |
+
"epoch": 1.36,
|
696 |
+
"learning_rate": 2.728745003239007e-05,
|
697 |
+
"loss": 1.2794,
|
698 |
+
"step": 57500
|
699 |
+
},
|
700 |
+
{
|
701 |
+
"epoch": 1.37,
|
702 |
+
"learning_rate": 2.708994959788912e-05,
|
703 |
+
"loss": 1.2956,
|
704 |
+
"step": 58000
|
705 |
+
},
|
706 |
+
{
|
707 |
+
"epoch": 1.39,
|
708 |
+
"learning_rate": 2.689244916338816e-05,
|
709 |
+
"loss": 1.2856,
|
710 |
+
"step": 58500
|
711 |
+
},
|
712 |
+
{
|
713 |
+
"epoch": 1.4,
|
714 |
+
"learning_rate": 2.6694948728887205e-05,
|
715 |
+
"loss": 1.2743,
|
716 |
+
"step": 59000
|
717 |
+
},
|
718 |
+
{
|
719 |
+
"epoch": 1.41,
|
720 |
+
"learning_rate": 2.6497448294386253e-05,
|
721 |
+
"loss": 1.2743,
|
722 |
+
"step": 59500
|
723 |
+
},
|
724 |
+
{
|
725 |
+
"epoch": 1.42,
|
726 |
+
"learning_rate": 2.6299947859885294e-05,
|
727 |
+
"loss": 1.2753,
|
728 |
+
"step": 60000
|
729 |
+
},
|
730 |
+
{
|
731 |
+
"epoch": 1.43,
|
732 |
+
"learning_rate": 2.6102447425384335e-05,
|
733 |
+
"loss": 1.2653,
|
734 |
+
"step": 60500
|
735 |
+
},
|
736 |
+
{
|
737 |
+
"epoch": 1.45,
|
738 |
+
"learning_rate": 2.5904946990883383e-05,
|
739 |
+
"loss": 1.2778,
|
740 |
+
"step": 61000
|
741 |
+
},
|
742 |
+
{
|
743 |
+
"epoch": 1.46,
|
744 |
+
"learning_rate": 2.5707446556382424e-05,
|
745 |
+
"loss": 1.2726,
|
746 |
+
"step": 61500
|
747 |
+
},
|
748 |
+
{
|
749 |
+
"epoch": 1.47,
|
750 |
+
"learning_rate": 2.550994612188147e-05,
|
751 |
+
"loss": 1.2773,
|
752 |
+
"step": 62000
|
753 |
+
},
|
754 |
+
{
|
755 |
+
"epoch": 1.48,
|
756 |
+
"learning_rate": 2.5312445687380516e-05,
|
757 |
+
"loss": 1.2632,
|
758 |
+
"step": 62500
|
759 |
+
},
|
760 |
+
{
|
761 |
+
"epoch": 1.49,
|
762 |
+
"learning_rate": 2.5114945252879557e-05,
|
763 |
+
"loss": 1.2751,
|
764 |
+
"step": 63000
|
765 |
+
},
|
766 |
+
{
|
767 |
+
"epoch": 1.5,
|
768 |
+
"learning_rate": 2.4917444818378602e-05,
|
769 |
+
"loss": 1.2607,
|
770 |
+
"step": 63500
|
771 |
+
},
|
772 |
+
{
|
773 |
+
"epoch": 1.52,
|
774 |
+
"learning_rate": 2.4719944383877646e-05,
|
775 |
+
"loss": 1.2556,
|
776 |
+
"step": 64000
|
777 |
+
},
|
778 |
+
{
|
779 |
+
"epoch": 1.53,
|
780 |
+
"learning_rate": 2.4522443949376688e-05,
|
781 |
+
"loss": 1.235,
|
782 |
+
"step": 64500
|
783 |
+
},
|
784 |
+
{
|
785 |
+
"epoch": 1.54,
|
786 |
+
"learning_rate": 2.4324943514875735e-05,
|
787 |
+
"loss": 1.2502,
|
788 |
+
"step": 65000
|
789 |
+
},
|
790 |
+
{
|
791 |
+
"epoch": 1.55,
|
792 |
+
"learning_rate": 2.412744308037478e-05,
|
793 |
+
"loss": 1.2633,
|
794 |
+
"step": 65500
|
795 |
+
},
|
796 |
+
{
|
797 |
+
"epoch": 1.56,
|
798 |
+
"learning_rate": 2.392994264587382e-05,
|
799 |
+
"loss": 1.2558,
|
800 |
+
"step": 66000
|
801 |
+
},
|
802 |
+
{
|
803 |
+
"epoch": 1.58,
|
804 |
+
"learning_rate": 2.3732442211372865e-05,
|
805 |
+
"loss": 1.2659,
|
806 |
+
"step": 66500
|
807 |
+
},
|
808 |
+
{
|
809 |
+
"epoch": 1.59,
|
810 |
+
"learning_rate": 2.353494177687191e-05,
|
811 |
+
"loss": 1.258,
|
812 |
+
"step": 67000
|
813 |
+
},
|
814 |
+
{
|
815 |
+
"epoch": 1.6,
|
816 |
+
"learning_rate": 2.3337441342370954e-05,
|
817 |
+
"loss": 1.2609,
|
818 |
+
"step": 67500
|
819 |
+
},
|
820 |
+
{
|
821 |
+
"epoch": 1.61,
|
822 |
+
"learning_rate": 2.313994090787e-05,
|
823 |
+
"loss": 1.2485,
|
824 |
+
"step": 68000
|
825 |
+
},
|
826 |
+
{
|
827 |
+
"epoch": 1.62,
|
828 |
+
"learning_rate": 2.2942440473369043e-05,
|
829 |
+
"loss": 1.2563,
|
830 |
+
"step": 68500
|
831 |
+
},
|
832 |
+
{
|
833 |
+
"epoch": 1.64,
|
834 |
+
"learning_rate": 2.2744940038868088e-05,
|
835 |
+
"loss": 1.2621,
|
836 |
+
"step": 69000
|
837 |
+
},
|
838 |
+
{
|
839 |
+
"epoch": 1.65,
|
840 |
+
"learning_rate": 2.254743960436713e-05,
|
841 |
+
"loss": 1.246,
|
842 |
+
"step": 69500
|
843 |
+
},
|
844 |
+
{
|
845 |
+
"epoch": 1.66,
|
846 |
+
"learning_rate": 2.2349939169866174e-05,
|
847 |
+
"loss": 1.2327,
|
848 |
+
"step": 70000
|
849 |
+
},
|
850 |
+
{
|
851 |
+
"epoch": 1.67,
|
852 |
+
"learning_rate": 2.2152438735365218e-05,
|
853 |
+
"loss": 1.2388,
|
854 |
+
"step": 70500
|
855 |
+
},
|
856 |
+
{
|
857 |
+
"epoch": 1.68,
|
858 |
+
"learning_rate": 2.1954938300864263e-05,
|
859 |
+
"loss": 1.2443,
|
860 |
+
"step": 71000
|
861 |
+
},
|
862 |
+
{
|
863 |
+
"epoch": 1.69,
|
864 |
+
"learning_rate": 2.1757437866363307e-05,
|
865 |
+
"loss": 1.2585,
|
866 |
+
"step": 71500
|
867 |
+
},
|
868 |
+
{
|
869 |
+
"epoch": 1.71,
|
870 |
+
"learning_rate": 2.155993743186235e-05,
|
871 |
+
"loss": 1.2376,
|
872 |
+
"step": 72000
|
873 |
+
},
|
874 |
+
{
|
875 |
+
"epoch": 1.72,
|
876 |
+
"learning_rate": 2.1362436997361396e-05,
|
877 |
+
"loss": 1.2317,
|
878 |
+
"step": 72500
|
879 |
+
},
|
880 |
+
{
|
881 |
+
"epoch": 1.73,
|
882 |
+
"learning_rate": 2.116493656286044e-05,
|
883 |
+
"loss": 1.2279,
|
884 |
+
"step": 73000
|
885 |
+
},
|
886 |
+
{
|
887 |
+
"epoch": 1.74,
|
888 |
+
"learning_rate": 2.096743612835948e-05,
|
889 |
+
"loss": 1.2444,
|
890 |
+
"step": 73500
|
891 |
+
},
|
892 |
+
{
|
893 |
+
"epoch": 1.75,
|
894 |
+
"learning_rate": 2.0769935693858526e-05,
|
895 |
+
"loss": 1.2488,
|
896 |
+
"step": 74000
|
897 |
+
},
|
898 |
+
{
|
899 |
+
"epoch": 1.77,
|
900 |
+
"learning_rate": 2.0572435259357574e-05,
|
901 |
+
"loss": 1.2314,
|
902 |
+
"step": 74500
|
903 |
+
},
|
904 |
+
{
|
905 |
+
"epoch": 1.78,
|
906 |
+
"learning_rate": 2.0374934824856615e-05,
|
907 |
+
"loss": 1.2385,
|
908 |
+
"step": 75000
|
909 |
+
},
|
910 |
+
{
|
911 |
+
"epoch": 1.79,
|
912 |
+
"learning_rate": 2.017743439035566e-05,
|
913 |
+
"loss": 1.2219,
|
914 |
+
"step": 75500
|
915 |
+
},
|
916 |
+
{
|
917 |
+
"epoch": 1.8,
|
918 |
+
"learning_rate": 1.9979933955854704e-05,
|
919 |
+
"loss": 1.2491,
|
920 |
+
"step": 76000
|
921 |
+
},
|
922 |
+
{
|
923 |
+
"epoch": 1.81,
|
924 |
+
"learning_rate": 1.978243352135375e-05,
|
925 |
+
"loss": 1.229,
|
926 |
+
"step": 76500
|
927 |
+
},
|
928 |
+
{
|
929 |
+
"epoch": 1.82,
|
930 |
+
"learning_rate": 1.9584933086852793e-05,
|
931 |
+
"loss": 1.2233,
|
932 |
+
"step": 77000
|
933 |
+
},
|
934 |
+
{
|
935 |
+
"epoch": 1.84,
|
936 |
+
"learning_rate": 1.9387432652351838e-05,
|
937 |
+
"loss": 1.2521,
|
938 |
+
"step": 77500
|
939 |
+
},
|
940 |
+
{
|
941 |
+
"epoch": 1.85,
|
942 |
+
"learning_rate": 1.9189932217850882e-05,
|
943 |
+
"loss": 1.2214,
|
944 |
+
"step": 78000
|
945 |
+
},
|
946 |
+
{
|
947 |
+
"epoch": 1.86,
|
948 |
+
"learning_rate": 1.8992431783349923e-05,
|
949 |
+
"loss": 1.2162,
|
950 |
+
"step": 78500
|
951 |
+
},
|
952 |
+
{
|
953 |
+
"epoch": 1.87,
|
954 |
+
"learning_rate": 1.8794931348848968e-05,
|
955 |
+
"loss": 1.2178,
|
956 |
+
"step": 79000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 1.88,
|
960 |
+
"learning_rate": 1.8597430914348012e-05,
|
961 |
+
"loss": 1.2418,
|
962 |
+
"step": 79500
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 1.9,
|
966 |
+
"learning_rate": 1.8399930479847057e-05,
|
967 |
+
"loss": 1.2453,
|
968 |
+
"step": 80000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 1.91,
|
972 |
+
"learning_rate": 1.82024300453461e-05,
|
973 |
+
"loss": 1.228,
|
974 |
+
"step": 80500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 1.92,
|
978 |
+
"learning_rate": 1.8004929610845146e-05,
|
979 |
+
"loss": 1.2036,
|
980 |
+
"step": 81000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 1.93,
|
984 |
+
"learning_rate": 1.780742917634419e-05,
|
985 |
+
"loss": 1.2078,
|
986 |
+
"step": 81500
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 1.94,
|
990 |
+
"learning_rate": 1.760992874184323e-05,
|
991 |
+
"loss": 1.2106,
|
992 |
+
"step": 82000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 1.96,
|
996 |
+
"learning_rate": 1.7412428307342276e-05,
|
997 |
+
"loss": 1.2187,
|
998 |
+
"step": 82500
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 1.97,
|
1002 |
+
"learning_rate": 1.721492787284132e-05,
|
1003 |
+
"loss": 1.2267,
|
1004 |
+
"step": 83000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 1.98,
|
1008 |
+
"learning_rate": 1.7017427438340368e-05,
|
1009 |
+
"loss": 1.2262,
|
1010 |
+
"step": 83500
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 1.99,
|
1014 |
+
"learning_rate": 1.681992700383941e-05,
|
1015 |
+
"loss": 1.2185,
|
1016 |
+
"step": 84000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 2.0,
|
1020 |
+
"learning_rate": 1.6622426569338454e-05,
|
1021 |
+
"loss": 1.1781,
|
1022 |
+
"step": 84500
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 2.01,
|
1026 |
+
"learning_rate": 1.6424926134837498e-05,
|
1027 |
+
"loss": 1.0483,
|
1028 |
+
"step": 85000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 2.03,
|
1032 |
+
"learning_rate": 1.622742570033654e-05,
|
1033 |
+
"loss": 1.0659,
|
1034 |
+
"step": 85500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 2.04,
|
1038 |
+
"learning_rate": 1.6029925265835584e-05,
|
1039 |
+
"loss": 1.0643,
|
1040 |
+
"step": 86000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 2.05,
|
1044 |
+
"learning_rate": 1.583242483133463e-05,
|
1045 |
+
"loss": 1.0453,
|
1046 |
+
"step": 86500
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 2.06,
|
1050 |
+
"learning_rate": 1.5634924396833676e-05,
|
1051 |
+
"loss": 1.0541,
|
1052 |
+
"step": 87000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 2.07,
|
1056 |
+
"learning_rate": 1.5437423962332717e-05,
|
1057 |
+
"loss": 1.0534,
|
1058 |
+
"step": 87500
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 2.09,
|
1062 |
+
"learning_rate": 1.5239923527831762e-05,
|
1063 |
+
"loss": 1.0641,
|
1064 |
+
"step": 88000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 2.1,
|
1068 |
+
"learning_rate": 1.5042423093330806e-05,
|
1069 |
+
"loss": 1.0771,
|
1070 |
+
"step": 88500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 2.11,
|
1074 |
+
"learning_rate": 1.4844922658829849e-05,
|
1075 |
+
"loss": 1.0638,
|
1076 |
+
"step": 89000
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 2.12,
|
1080 |
+
"learning_rate": 1.4647422224328893e-05,
|
1081 |
+
"loss": 1.0677,
|
1082 |
+
"step": 89500
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 2.13,
|
1086 |
+
"learning_rate": 1.4449921789827938e-05,
|
1087 |
+
"loss": 1.0776,
|
1088 |
+
"step": 90000
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 2.14,
|
1092 |
+
"learning_rate": 1.4252421355326984e-05,
|
1093 |
+
"loss": 1.064,
|
1094 |
+
"step": 90500
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 2.16,
|
1098 |
+
"learning_rate": 1.4054920920826025e-05,
|
1099 |
+
"loss": 1.0548,
|
1100 |
+
"step": 91000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 2.17,
|
1104 |
+
"learning_rate": 1.3857420486325071e-05,
|
1105 |
+
"loss": 1.0606,
|
1106 |
+
"step": 91500
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 2.18,
|
1110 |
+
"learning_rate": 1.3659920051824116e-05,
|
1111 |
+
"loss": 1.0699,
|
1112 |
+
"step": 92000
|
1113 |
+
},
|
1114 |
+
{
|
1115 |
+
"epoch": 2.19,
|
1116 |
+
"learning_rate": 1.3462419617323157e-05,
|
1117 |
+
"loss": 1.0721,
|
1118 |
+
"step": 92500
|
1119 |
+
},
|
1120 |
+
{
|
1121 |
+
"epoch": 2.2,
|
1122 |
+
"learning_rate": 1.3264919182822203e-05,
|
1123 |
+
"loss": 1.0438,
|
1124 |
+
"step": 93000
|
1125 |
+
},
|
1126 |
+
{
|
1127 |
+
"epoch": 2.22,
|
1128 |
+
"learning_rate": 1.3067418748321248e-05,
|
1129 |
+
"loss": 1.0425,
|
1130 |
+
"step": 93500
|
1131 |
+
},
|
1132 |
+
{
|
1133 |
+
"epoch": 2.23,
|
1134 |
+
"learning_rate": 1.2869918313820292e-05,
|
1135 |
+
"loss": 1.0501,
|
1136 |
+
"step": 94000
|
1137 |
+
},
|
1138 |
+
{
|
1139 |
+
"epoch": 2.24,
|
1140 |
+
"learning_rate": 1.2672417879319335e-05,
|
1141 |
+
"loss": 1.0307,
|
1142 |
+
"step": 94500
|
1143 |
+
},
|
1144 |
+
{
|
1145 |
+
"epoch": 2.25,
|
1146 |
+
"learning_rate": 1.247491744481838e-05,
|
1147 |
+
"loss": 1.037,
|
1148 |
+
"step": 95000
|
1149 |
+
},
|
1150 |
+
{
|
1151 |
+
"epoch": 2.26,
|
1152 |
+
"learning_rate": 1.2277417010317422e-05,
|
1153 |
+
"loss": 1.0401,
|
1154 |
+
"step": 95500
|
1155 |
+
},
|
1156 |
+
{
|
1157 |
+
"epoch": 2.28,
|
1158 |
+
"learning_rate": 1.2079916575816467e-05,
|
1159 |
+
"loss": 1.0504,
|
1160 |
+
"step": 96000
|
1161 |
+
},
|
1162 |
+
{
|
1163 |
+
"epoch": 2.29,
|
1164 |
+
"learning_rate": 1.1882416141315511e-05,
|
1165 |
+
"loss": 1.0381,
|
1166 |
+
"step": 96500
|
1167 |
+
},
|
1168 |
+
{
|
1169 |
+
"epoch": 2.3,
|
1170 |
+
"learning_rate": 1.1684915706814556e-05,
|
1171 |
+
"loss": 1.0302,
|
1172 |
+
"step": 97000
|
1173 |
+
},
|
1174 |
+
{
|
1175 |
+
"epoch": 2.31,
|
1176 |
+
"learning_rate": 1.14874152723136e-05,
|
1177 |
+
"loss": 1.0474,
|
1178 |
+
"step": 97500
|
1179 |
+
},
|
1180 |
+
{
|
1181 |
+
"epoch": 2.32,
|
1182 |
+
"learning_rate": 1.1289914837812645e-05,
|
1183 |
+
"loss": 1.0454,
|
1184 |
+
"step": 98000
|
1185 |
+
},
|
1186 |
+
{
|
1187 |
+
"epoch": 2.33,
|
1188 |
+
"learning_rate": 1.1092414403311688e-05,
|
1189 |
+
"loss": 1.0531,
|
1190 |
+
"step": 98500
|
1191 |
+
},
|
1192 |
+
{
|
1193 |
+
"epoch": 2.35,
|
1194 |
+
"learning_rate": 1.0894913968810732e-05,
|
1195 |
+
"loss": 1.0448,
|
1196 |
+
"step": 99000
|
1197 |
+
},
|
1198 |
+
{
|
1199 |
+
"epoch": 2.36,
|
1200 |
+
"learning_rate": 1.0697413534309776e-05,
|
1201 |
+
"loss": 1.0562,
|
1202 |
+
"step": 99500
|
1203 |
+
},
|
1204 |
+
{
|
1205 |
+
"epoch": 2.37,
|
1206 |
+
"learning_rate": 1.049991309980882e-05,
|
1207 |
+
"loss": 1.0432,
|
1208 |
+
"step": 100000
|
1209 |
+
},
|
1210 |
+
{
|
1211 |
+
"epoch": 2.38,
|
1212 |
+
"learning_rate": 1.0302412665307864e-05,
|
1213 |
+
"loss": 1.0436,
|
1214 |
+
"step": 100500
|
1215 |
+
},
|
1216 |
+
{
|
1217 |
+
"epoch": 2.39,
|
1218 |
+
"learning_rate": 1.0104912230806908e-05,
|
1219 |
+
"loss": 1.0419,
|
1220 |
+
"step": 101000
|
1221 |
+
},
|
1222 |
+
{
|
1223 |
+
"epoch": 2.41,
|
1224 |
+
"learning_rate": 9.907411796305953e-06,
|
1225 |
+
"loss": 1.0457,
|
1226 |
+
"step": 101500
|
1227 |
+
},
|
1228 |
+
{
|
1229 |
+
"epoch": 2.42,
|
1230 |
+
"learning_rate": 9.709911361804996e-06,
|
1231 |
+
"loss": 1.0409,
|
1232 |
+
"step": 102000
|
1233 |
+
},
|
1234 |
+
{
|
1235 |
+
"epoch": 2.43,
|
1236 |
+
"learning_rate": 9.51241092730404e-06,
|
1237 |
+
"loss": 1.031,
|
1238 |
+
"step": 102500
|
1239 |
+
},
|
1240 |
+
{
|
1241 |
+
"epoch": 2.44,
|
1242 |
+
"learning_rate": 9.314910492803085e-06,
|
1243 |
+
"loss": 1.0356,
|
1244 |
+
"step": 103000
|
1245 |
+
},
|
1246 |
+
{
|
1247 |
+
"epoch": 2.45,
|
1248 |
+
"learning_rate": 9.117410058302129e-06,
|
1249 |
+
"loss": 1.0606,
|
1250 |
+
"step": 103500
|
1251 |
+
},
|
1252 |
+
{
|
1253 |
+
"epoch": 2.46,
|
1254 |
+
"learning_rate": 8.919909623801174e-06,
|
1255 |
+
"loss": 1.0432,
|
1256 |
+
"step": 104000
|
1257 |
+
},
|
1258 |
+
{
|
1259 |
+
"epoch": 2.48,
|
1260 |
+
"learning_rate": 8.722409189300216e-06,
|
1261 |
+
"loss": 1.0254,
|
1262 |
+
"step": 104500
|
1263 |
+
},
|
1264 |
+
{
|
1265 |
+
"epoch": 2.49,
|
1266 |
+
"learning_rate": 8.52490875479926e-06,
|
1267 |
+
"loss": 1.0482,
|
1268 |
+
"step": 105000
|
1269 |
+
},
|
1270 |
+
{
|
1271 |
+
"epoch": 2.5,
|
1272 |
+
"learning_rate": 8.327408320298305e-06,
|
1273 |
+
"loss": 1.0522,
|
1274 |
+
"step": 105500
|
1275 |
+
},
|
1276 |
+
{
|
1277 |
+
"epoch": 2.51,
|
1278 |
+
"learning_rate": 8.129907885797348e-06,
|
1279 |
+
"loss": 1.0263,
|
1280 |
+
"step": 106000
|
1281 |
+
},
|
1282 |
+
{
|
1283 |
+
"epoch": 2.52,
|
1284 |
+
"learning_rate": 7.932407451296393e-06,
|
1285 |
+
"loss": 1.0546,
|
1286 |
+
"step": 106500
|
1287 |
+
},
|
1288 |
+
{
|
1289 |
+
"epoch": 2.54,
|
1290 |
+
"learning_rate": 7.734907016795437e-06,
|
1291 |
+
"loss": 1.0475,
|
1292 |
+
"step": 107000
|
1293 |
+
},
|
1294 |
+
{
|
1295 |
+
"epoch": 2.55,
|
1296 |
+
"learning_rate": 7.5374065822944816e-06,
|
1297 |
+
"loss": 1.0293,
|
1298 |
+
"step": 107500
|
1299 |
+
},
|
1300 |
+
{
|
1301 |
+
"epoch": 2.56,
|
1302 |
+
"learning_rate": 7.339906147793525e-06,
|
1303 |
+
"loss": 1.0497,
|
1304 |
+
"step": 108000
|
1305 |
+
},
|
1306 |
+
{
|
1307 |
+
"epoch": 2.57,
|
1308 |
+
"learning_rate": 7.14240571329257e-06,
|
1309 |
+
"loss": 1.0448,
|
1310 |
+
"step": 108500
|
1311 |
+
},
|
1312 |
+
{
|
1313 |
+
"epoch": 2.58,
|
1314 |
+
"learning_rate": 6.944905278791613e-06,
|
1315 |
+
"loss": 1.0275,
|
1316 |
+
"step": 109000
|
1317 |
+
},
|
1318 |
+
{
|
1319 |
+
"epoch": 2.6,
|
1320 |
+
"learning_rate": 6.747404844290659e-06,
|
1321 |
+
"loss": 1.0281,
|
1322 |
+
"step": 109500
|
1323 |
+
},
|
1324 |
+
{
|
1325 |
+
"epoch": 2.61,
|
1326 |
+
"learning_rate": 6.549904409789702e-06,
|
1327 |
+
"loss": 1.0295,
|
1328 |
+
"step": 110000
|
1329 |
+
},
|
1330 |
+
{
|
1331 |
+
"epoch": 2.62,
|
1332 |
+
"learning_rate": 6.352403975288745e-06,
|
1333 |
+
"loss": 1.0143,
|
1334 |
+
"step": 110500
|
1335 |
+
},
|
1336 |
+
{
|
1337 |
+
"epoch": 2.63,
|
1338 |
+
"learning_rate": 6.1549035407877905e-06,
|
1339 |
+
"loss": 1.0277,
|
1340 |
+
"step": 111000
|
1341 |
+
},
|
1342 |
+
{
|
1343 |
+
"epoch": 2.64,
|
1344 |
+
"learning_rate": 5.957403106286834e-06,
|
1345 |
+
"loss": 1.0266,
|
1346 |
+
"step": 111500
|
1347 |
+
},
|
1348 |
+
{
|
1349 |
+
"epoch": 2.65,
|
1350 |
+
"learning_rate": 5.759902671785878e-06,
|
1351 |
+
"loss": 1.0502,
|
1352 |
+
"step": 112000
|
1353 |
+
},
|
1354 |
+
{
|
1355 |
+
"epoch": 2.67,
|
1356 |
+
"learning_rate": 5.562402237284922e-06,
|
1357 |
+
"loss": 1.0312,
|
1358 |
+
"step": 112500
|
1359 |
+
},
|
1360 |
+
{
|
1361 |
+
"epoch": 2.68,
|
1362 |
+
"learning_rate": 5.364901802783967e-06,
|
1363 |
+
"loss": 1.0444,
|
1364 |
+
"step": 113000
|
1365 |
+
},
|
1366 |
+
{
|
1367 |
+
"epoch": 2.69,
|
1368 |
+
"learning_rate": 5.16740136828301e-06,
|
1369 |
+
"loss": 1.0257,
|
1370 |
+
"step": 113500
|
1371 |
+
},
|
1372 |
+
{
|
1373 |
+
"epoch": 2.7,
|
1374 |
+
"learning_rate": 4.969900933782055e-06,
|
1375 |
+
"loss": 1.0199,
|
1376 |
+
"step": 114000
|
1377 |
+
},
|
1378 |
+
{
|
1379 |
+
"epoch": 2.71,
|
1380 |
+
"learning_rate": 4.7724004992810985e-06,
|
1381 |
+
"loss": 1.0178,
|
1382 |
+
"step": 114500
|
1383 |
+
},
|
1384 |
+
{
|
1385 |
+
"epoch": 2.73,
|
1386 |
+
"learning_rate": 4.574900064780143e-06,
|
1387 |
+
"loss": 1.0197,
|
1388 |
+
"step": 115000
|
1389 |
+
},
|
1390 |
+
{
|
1391 |
+
"epoch": 2.74,
|
1392 |
+
"learning_rate": 4.377399630279187e-06,
|
1393 |
+
"loss": 1.0181,
|
1394 |
+
"step": 115500
|
1395 |
+
},
|
1396 |
+
{
|
1397 |
+
"epoch": 2.75,
|
1398 |
+
"learning_rate": 4.179899195778231e-06,
|
1399 |
+
"loss": 1.0492,
|
1400 |
+
"step": 116000
|
1401 |
+
},
|
1402 |
+
{
|
1403 |
+
"epoch": 2.76,
|
1404 |
+
"learning_rate": 3.982398761277275e-06,
|
1405 |
+
"loss": 1.035,
|
1406 |
+
"step": 116500
|
1407 |
+
},
|
1408 |
+
{
|
1409 |
+
"epoch": 2.77,
|
1410 |
+
"learning_rate": 3.7848983267763193e-06,
|
1411 |
+
"loss": 1.0256,
|
1412 |
+
"step": 117000
|
1413 |
+
},
|
1414 |
+
{
|
1415 |
+
"epoch": 2.78,
|
1416 |
+
"learning_rate": 3.5873978922753633e-06,
|
1417 |
+
"loss": 1.0031,
|
1418 |
+
"step": 117500
|
1419 |
+
},
|
1420 |
+
{
|
1421 |
+
"epoch": 2.8,
|
1422 |
+
"learning_rate": 3.3898974577744074e-06,
|
1423 |
+
"loss": 1.0208,
|
1424 |
+
"step": 118000
|
1425 |
+
},
|
1426 |
+
{
|
1427 |
+
"epoch": 2.81,
|
1428 |
+
"learning_rate": 3.1923970232734515e-06,
|
1429 |
+
"loss": 1.0215,
|
1430 |
+
"step": 118500
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 2.82,
|
1434 |
+
"learning_rate": 2.9948965887724956e-06,
|
1435 |
+
"loss": 1.0196,
|
1436 |
+
"step": 119000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 2.83,
|
1440 |
+
"learning_rate": 2.7973961542715396e-06,
|
1441 |
+
"loss": 1.0366,
|
1442 |
+
"step": 119500
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 2.84,
|
1446 |
+
"learning_rate": 2.5998957197705837e-06,
|
1447 |
+
"loss": 1.0268,
|
1448 |
+
"step": 120000
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 2.86,
|
1452 |
+
"learning_rate": 2.4023952852696278e-06,
|
1453 |
+
"loss": 1.0141,
|
1454 |
+
"step": 120500
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 2.87,
|
1458 |
+
"learning_rate": 2.204894850768672e-06,
|
1459 |
+
"loss": 1.0083,
|
1460 |
+
"step": 121000
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 2.88,
|
1464 |
+
"learning_rate": 2.007394416267716e-06,
|
1465 |
+
"loss": 1.0266,
|
1466 |
+
"step": 121500
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 2.89,
|
1470 |
+
"learning_rate": 1.80989398176676e-06,
|
1471 |
+
"loss": 1.0216,
|
1472 |
+
"step": 122000
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 2.9,
|
1476 |
+
"learning_rate": 1.612393547265804e-06,
|
1477 |
+
"loss": 1.0168,
|
1478 |
+
"step": 122500
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 2.92,
|
1482 |
+
"learning_rate": 1.414893112764848e-06,
|
1483 |
+
"loss": 1.0004,
|
1484 |
+
"step": 123000
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 2.93,
|
1488 |
+
"learning_rate": 1.2173926782638924e-06,
|
1489 |
+
"loss": 1.026,
|
1490 |
+
"step": 123500
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 2.94,
|
1494 |
+
"learning_rate": 1.0198922437629362e-06,
|
1495 |
+
"loss": 1.0042,
|
1496 |
+
"step": 124000
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 2.95,
|
1500 |
+
"learning_rate": 8.223918092619805e-07,
|
1501 |
+
"loss": 0.9972,
|
1502 |
+
"step": 124500
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 2.96,
|
1506 |
+
"learning_rate": 6.248913747610245e-07,
|
1507 |
+
"loss": 1.0221,
|
1508 |
+
"step": 125000
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 2.97,
|
1512 |
+
"learning_rate": 4.273909402600686e-07,
|
1513 |
+
"loss": 1.02,
|
1514 |
+
"step": 125500
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 2.99,
|
1518 |
+
"learning_rate": 2.2989050575911268e-07,
|
1519 |
+
"loss": 1.0402,
|
1520 |
+
"step": 126000
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 3.0,
|
1524 |
+
"learning_rate": 3.239007125815677e-08,
|
1525 |
+
"loss": 1.0188,
|
1526 |
+
"step": 126500
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 3.0,
|
1530 |
+
"step": 126582,
|
1531 |
+
"total_flos": 1.9038716367888384e+17,
|
1532 |
+
"train_loss": 1.3316941024496511,
|
1533 |
+
"train_runtime": 32427.393,
|
1534 |
+
"train_samples_per_second": 39.035,
|
1535 |
+
"train_steps_per_second": 3.904
|
1536 |
+
}
|
1537 |
+
],
|
1538 |
+
"max_steps": 126582,
|
1539 |
+
"num_train_epochs": 3,
|
1540 |
+
"total_flos": 1.9038716367888384e+17,
|
1541 |
+
"trial_name": null,
|
1542 |
+
"trial_params": null
|
1543 |
+
}
|
training_args.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:73d7d5636a3a1b734380e29cee84402bb43ece15c310b04317be27eda09a41bf
|
3 |
+
size 2799
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|