add MT model
Browse files- all_results.json +15 -0
- config.json +38 -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 +727 -0
- training_args.bin +3 -0
- vocab.json +0 -0
all_results.json
ADDED
|
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 3.0,
|
| 3 |
+
"predict_bleu": 3.6208,
|
| 4 |
+
"predict_gen_len": 37.2351,
|
| 5 |
+
"predict_loss": 4.726799964904785,
|
| 6 |
+
"predict_runtime": 562.7043,
|
| 7 |
+
"predict_samples": 1574,
|
| 8 |
+
"predict_samples_per_second": 2.797,
|
| 9 |
+
"predict_steps_per_second": 0.281,
|
| 10 |
+
"train_loss": 1.5319798234326785,
|
| 11 |
+
"train_runtime": 18598.6658,
|
| 12 |
+
"train_samples": 196321,
|
| 13 |
+
"train_samples_per_second": 31.667,
|
| 14 |
+
"train_steps_per_second": 3.167
|
| 15 |
+
}
|
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": 128028,
|
| 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 |
+
}
|
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": 3.6208,
|
| 3 |
+
"predict_gen_len": 37.2351,
|
| 4 |
+
"predict_loss": 4.726799964904785,
|
| 5 |
+
"predict_runtime": 562.7043,
|
| 6 |
+
"predict_samples": 1574,
|
| 7 |
+
"predict_samples_per_second": 2.797,
|
| 8 |
+
"predict_steps_per_second": 0.281
|
| 9 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:b85e2db9c64f80e04653d97da688f87e30d13aa54ae79de894842b698099c3bb
|
| 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": 1.5319798234326785,
|
| 4 |
+
"train_runtime": 18598.6658,
|
| 5 |
+
"train_samples": 196321,
|
| 6 |
+
"train_samples_per_second": 31.667,
|
| 7 |
+
"train_steps_per_second": 3.167
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,727 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 3.0,
|
| 5 |
+
"global_step": 58899,
|
| 6 |
+
"is_hyper_param_search": false,
|
| 7 |
+
"is_local_process_zero": true,
|
| 8 |
+
"is_world_process_zero": true,
|
| 9 |
+
"log_history": [
|
| 10 |
+
{
|
| 11 |
+
"epoch": 0.03,
|
| 12 |
+
"learning_rate": 4.95755445763086e-05,
|
| 13 |
+
"loss": 2.7483,
|
| 14 |
+
"step": 500
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.05,
|
| 18 |
+
"learning_rate": 4.91510891526172e-05,
|
| 19 |
+
"loss": 2.4331,
|
| 20 |
+
"step": 1000
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.08,
|
| 24 |
+
"learning_rate": 4.872663372892579e-05,
|
| 25 |
+
"loss": 2.2572,
|
| 26 |
+
"step": 1500
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.1,
|
| 30 |
+
"learning_rate": 4.830217830523439e-05,
|
| 31 |
+
"loss": 2.1934,
|
| 32 |
+
"step": 2000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.13,
|
| 36 |
+
"learning_rate": 4.787772288154298e-05,
|
| 37 |
+
"loss": 2.1335,
|
| 38 |
+
"step": 2500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.15,
|
| 42 |
+
"learning_rate": 4.745326745785158e-05,
|
| 43 |
+
"loss": 2.092,
|
| 44 |
+
"step": 3000
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.18,
|
| 48 |
+
"learning_rate": 4.7028812034160174e-05,
|
| 49 |
+
"loss": 2.0532,
|
| 50 |
+
"step": 3500
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.2,
|
| 54 |
+
"learning_rate": 4.660435661046877e-05,
|
| 55 |
+
"loss": 2.0224,
|
| 56 |
+
"step": 4000
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.23,
|
| 60 |
+
"learning_rate": 4.617990118677737e-05,
|
| 61 |
+
"loss": 1.9855,
|
| 62 |
+
"step": 4500
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.25,
|
| 66 |
+
"learning_rate": 4.575544576308596e-05,
|
| 67 |
+
"loss": 1.9997,
|
| 68 |
+
"step": 5000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.28,
|
| 72 |
+
"learning_rate": 4.533099033939456e-05,
|
| 73 |
+
"loss": 1.9553,
|
| 74 |
+
"step": 5500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.31,
|
| 78 |
+
"learning_rate": 4.490653491570315e-05,
|
| 79 |
+
"loss": 1.926,
|
| 80 |
+
"step": 6000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.33,
|
| 84 |
+
"learning_rate": 4.4482079492011754e-05,
|
| 85 |
+
"loss": 1.9129,
|
| 86 |
+
"step": 6500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.36,
|
| 90 |
+
"learning_rate": 4.4057624068320345e-05,
|
| 91 |
+
"loss": 1.8953,
|
| 92 |
+
"step": 7000
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.38,
|
| 96 |
+
"learning_rate": 4.363316864462894e-05,
|
| 97 |
+
"loss": 1.8849,
|
| 98 |
+
"step": 7500
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.41,
|
| 102 |
+
"learning_rate": 4.320871322093754e-05,
|
| 103 |
+
"loss": 1.8703,
|
| 104 |
+
"step": 8000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.43,
|
| 108 |
+
"learning_rate": 4.278425779724614e-05,
|
| 109 |
+
"loss": 1.8677,
|
| 110 |
+
"step": 8500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.46,
|
| 114 |
+
"learning_rate": 4.235980237355473e-05,
|
| 115 |
+
"loss": 1.8423,
|
| 116 |
+
"step": 9000
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.48,
|
| 120 |
+
"learning_rate": 4.193534694986333e-05,
|
| 121 |
+
"loss": 1.841,
|
| 122 |
+
"step": 9500
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.51,
|
| 126 |
+
"learning_rate": 4.1510891526171925e-05,
|
| 127 |
+
"loss": 1.8318,
|
| 128 |
+
"step": 10000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.53,
|
| 132 |
+
"learning_rate": 4.1086436102480516e-05,
|
| 133 |
+
"loss": 1.8143,
|
| 134 |
+
"step": 10500
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.56,
|
| 138 |
+
"learning_rate": 4.0661980678789114e-05,
|
| 139 |
+
"loss": 1.7978,
|
| 140 |
+
"step": 11000
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.59,
|
| 144 |
+
"learning_rate": 4.023752525509771e-05,
|
| 145 |
+
"loss": 1.7923,
|
| 146 |
+
"step": 11500
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.61,
|
| 150 |
+
"learning_rate": 3.981306983140631e-05,
|
| 151 |
+
"loss": 1.8037,
|
| 152 |
+
"step": 12000
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.64,
|
| 156 |
+
"learning_rate": 3.93886144077149e-05,
|
| 157 |
+
"loss": 1.7662,
|
| 158 |
+
"step": 12500
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.66,
|
| 162 |
+
"learning_rate": 3.8964158984023505e-05,
|
| 163 |
+
"loss": 1.7802,
|
| 164 |
+
"step": 13000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.69,
|
| 168 |
+
"learning_rate": 3.8539703560332096e-05,
|
| 169 |
+
"loss": 1.7401,
|
| 170 |
+
"step": 13500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.71,
|
| 174 |
+
"learning_rate": 3.8115248136640694e-05,
|
| 175 |
+
"loss": 1.727,
|
| 176 |
+
"step": 14000
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.74,
|
| 180 |
+
"learning_rate": 3.7690792712949285e-05,
|
| 181 |
+
"loss": 1.7534,
|
| 182 |
+
"step": 14500
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.76,
|
| 186 |
+
"learning_rate": 3.726633728925788e-05,
|
| 187 |
+
"loss": 1.7225,
|
| 188 |
+
"step": 15000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.79,
|
| 192 |
+
"learning_rate": 3.684188186556648e-05,
|
| 193 |
+
"loss": 1.7074,
|
| 194 |
+
"step": 15500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.81,
|
| 198 |
+
"learning_rate": 3.641742644187507e-05,
|
| 199 |
+
"loss": 1.7095,
|
| 200 |
+
"step": 16000
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.84,
|
| 204 |
+
"learning_rate": 3.5992971018183676e-05,
|
| 205 |
+
"loss": 1.7001,
|
| 206 |
+
"step": 16500
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.87,
|
| 210 |
+
"learning_rate": 3.556851559449227e-05,
|
| 211 |
+
"loss": 1.6924,
|
| 212 |
+
"step": 17000
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.89,
|
| 216 |
+
"learning_rate": 3.5144060170800865e-05,
|
| 217 |
+
"loss": 1.7011,
|
| 218 |
+
"step": 17500
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.92,
|
| 222 |
+
"learning_rate": 3.4719604747109456e-05,
|
| 223 |
+
"loss": 1.6805,
|
| 224 |
+
"step": 18000
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.94,
|
| 228 |
+
"learning_rate": 3.429514932341806e-05,
|
| 229 |
+
"loss": 1.6594,
|
| 230 |
+
"step": 18500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.97,
|
| 234 |
+
"learning_rate": 3.387069389972665e-05,
|
| 235 |
+
"loss": 1.6664,
|
| 236 |
+
"step": 19000
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.99,
|
| 240 |
+
"learning_rate": 3.344623847603525e-05,
|
| 241 |
+
"loss": 1.6814,
|
| 242 |
+
"step": 19500
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 1.02,
|
| 246 |
+
"learning_rate": 3.302178305234385e-05,
|
| 247 |
+
"loss": 1.5383,
|
| 248 |
+
"step": 20000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 1.04,
|
| 252 |
+
"learning_rate": 3.259732762865244e-05,
|
| 253 |
+
"loss": 1.5238,
|
| 254 |
+
"step": 20500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 1.07,
|
| 258 |
+
"learning_rate": 3.2172872204961036e-05,
|
| 259 |
+
"loss": 1.5104,
|
| 260 |
+
"step": 21000
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 1.1,
|
| 264 |
+
"learning_rate": 3.174841678126963e-05,
|
| 265 |
+
"loss": 1.5127,
|
| 266 |
+
"step": 21500
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 1.12,
|
| 270 |
+
"learning_rate": 3.132396135757823e-05,
|
| 271 |
+
"loss": 1.5234,
|
| 272 |
+
"step": 22000
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 1.15,
|
| 276 |
+
"learning_rate": 3.089950593388682e-05,
|
| 277 |
+
"loss": 1.5021,
|
| 278 |
+
"step": 22500
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 1.17,
|
| 282 |
+
"learning_rate": 3.0475050510195417e-05,
|
| 283 |
+
"loss": 1.509,
|
| 284 |
+
"step": 23000
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 1.2,
|
| 288 |
+
"learning_rate": 3.005059508650402e-05,
|
| 289 |
+
"loss": 1.5061,
|
| 290 |
+
"step": 23500
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 1.22,
|
| 294 |
+
"learning_rate": 2.9626139662812613e-05,
|
| 295 |
+
"loss": 1.4648,
|
| 296 |
+
"step": 24000
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 1.25,
|
| 300 |
+
"learning_rate": 2.9201684239121207e-05,
|
| 301 |
+
"loss": 1.4817,
|
| 302 |
+
"step": 24500
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 1.27,
|
| 306 |
+
"learning_rate": 2.877722881542981e-05,
|
| 307 |
+
"loss": 1.5006,
|
| 308 |
+
"step": 25000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 1.3,
|
| 312 |
+
"learning_rate": 2.8352773391738403e-05,
|
| 313 |
+
"loss": 1.4856,
|
| 314 |
+
"step": 25500
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 1.32,
|
| 318 |
+
"learning_rate": 2.7928317968046997e-05,
|
| 319 |
+
"loss": 1.5068,
|
| 320 |
+
"step": 26000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 1.35,
|
| 324 |
+
"learning_rate": 2.7503862544355592e-05,
|
| 325 |
+
"loss": 1.4945,
|
| 326 |
+
"step": 26500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 1.38,
|
| 330 |
+
"learning_rate": 2.707940712066419e-05,
|
| 331 |
+
"loss": 1.4859,
|
| 332 |
+
"step": 27000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 1.4,
|
| 336 |
+
"learning_rate": 2.6654951696972784e-05,
|
| 337 |
+
"loss": 1.4967,
|
| 338 |
+
"step": 27500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 1.43,
|
| 342 |
+
"learning_rate": 2.623049627328138e-05,
|
| 343 |
+
"loss": 1.4713,
|
| 344 |
+
"step": 28000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 1.45,
|
| 348 |
+
"learning_rate": 2.580604084958998e-05,
|
| 349 |
+
"loss": 1.4736,
|
| 350 |
+
"step": 28500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 1.48,
|
| 354 |
+
"learning_rate": 2.5381585425898574e-05,
|
| 355 |
+
"loss": 1.4643,
|
| 356 |
+
"step": 29000
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 1.5,
|
| 360 |
+
"learning_rate": 2.495713000220717e-05,
|
| 361 |
+
"loss": 1.4654,
|
| 362 |
+
"step": 29500
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 1.53,
|
| 366 |
+
"learning_rate": 2.4532674578515766e-05,
|
| 367 |
+
"loss": 1.4698,
|
| 368 |
+
"step": 30000
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 1.55,
|
| 372 |
+
"learning_rate": 2.410821915482436e-05,
|
| 373 |
+
"loss": 1.4555,
|
| 374 |
+
"step": 30500
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 1.58,
|
| 378 |
+
"learning_rate": 2.368376373113296e-05,
|
| 379 |
+
"loss": 1.4668,
|
| 380 |
+
"step": 31000
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 1.6,
|
| 384 |
+
"learning_rate": 2.3259308307441553e-05,
|
| 385 |
+
"loss": 1.4586,
|
| 386 |
+
"step": 31500
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 1.63,
|
| 390 |
+
"learning_rate": 2.2834852883750148e-05,
|
| 391 |
+
"loss": 1.4788,
|
| 392 |
+
"step": 32000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 1.66,
|
| 396 |
+
"learning_rate": 2.2410397460058745e-05,
|
| 397 |
+
"loss": 1.4488,
|
| 398 |
+
"step": 32500
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 1.68,
|
| 402 |
+
"learning_rate": 2.198594203636734e-05,
|
| 403 |
+
"loss": 1.4355,
|
| 404 |
+
"step": 33000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 1.71,
|
| 408 |
+
"learning_rate": 2.1561486612675938e-05,
|
| 409 |
+
"loss": 1.4519,
|
| 410 |
+
"step": 33500
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 1.73,
|
| 414 |
+
"learning_rate": 2.1137031188984535e-05,
|
| 415 |
+
"loss": 1.4332,
|
| 416 |
+
"step": 34000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 1.76,
|
| 420 |
+
"learning_rate": 2.071257576529313e-05,
|
| 421 |
+
"loss": 1.4199,
|
| 422 |
+
"step": 34500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 1.78,
|
| 426 |
+
"learning_rate": 2.0288120341601728e-05,
|
| 427 |
+
"loss": 1.4392,
|
| 428 |
+
"step": 35000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 1.81,
|
| 432 |
+
"learning_rate": 1.9863664917910322e-05,
|
| 433 |
+
"loss": 1.4252,
|
| 434 |
+
"step": 35500
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 1.83,
|
| 438 |
+
"learning_rate": 1.943920949421892e-05,
|
| 439 |
+
"loss": 1.4356,
|
| 440 |
+
"step": 36000
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 1.86,
|
| 444 |
+
"learning_rate": 1.9014754070527514e-05,
|
| 445 |
+
"loss": 1.449,
|
| 446 |
+
"step": 36500
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.88,
|
| 450 |
+
"learning_rate": 1.859029864683611e-05,
|
| 451 |
+
"loss": 1.4039,
|
| 452 |
+
"step": 37000
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.91,
|
| 456 |
+
"learning_rate": 1.8165843223144707e-05,
|
| 457 |
+
"loss": 1.432,
|
| 458 |
+
"step": 37500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.94,
|
| 462 |
+
"learning_rate": 1.77413877994533e-05,
|
| 463 |
+
"loss": 1.4215,
|
| 464 |
+
"step": 38000
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.96,
|
| 468 |
+
"learning_rate": 1.73169323757619e-05,
|
| 469 |
+
"loss": 1.4216,
|
| 470 |
+
"step": 38500
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 1.99,
|
| 474 |
+
"learning_rate": 1.6892476952070493e-05,
|
| 475 |
+
"loss": 1.4174,
|
| 476 |
+
"step": 39000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 2.01,
|
| 480 |
+
"learning_rate": 1.646802152837909e-05,
|
| 481 |
+
"loss": 1.3543,
|
| 482 |
+
"step": 39500
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 2.04,
|
| 486 |
+
"learning_rate": 1.604356610468769e-05,
|
| 487 |
+
"loss": 1.2734,
|
| 488 |
+
"step": 40000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 2.06,
|
| 492 |
+
"learning_rate": 1.5619110680996283e-05,
|
| 493 |
+
"loss": 1.2723,
|
| 494 |
+
"step": 40500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 2.09,
|
| 498 |
+
"learning_rate": 1.519465525730488e-05,
|
| 499 |
+
"loss": 1.2577,
|
| 500 |
+
"step": 41000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 2.11,
|
| 504 |
+
"learning_rate": 1.4770199833613474e-05,
|
| 505 |
+
"loss": 1.2524,
|
| 506 |
+
"step": 41500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 2.14,
|
| 510 |
+
"learning_rate": 1.4345744409922072e-05,
|
| 511 |
+
"loss": 1.2589,
|
| 512 |
+
"step": 42000
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 2.16,
|
| 516 |
+
"learning_rate": 1.3921288986230666e-05,
|
| 517 |
+
"loss": 1.2557,
|
| 518 |
+
"step": 42500
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 2.19,
|
| 522 |
+
"learning_rate": 1.3496833562539262e-05,
|
| 523 |
+
"loss": 1.254,
|
| 524 |
+
"step": 43000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 2.22,
|
| 528 |
+
"learning_rate": 1.307237813884786e-05,
|
| 529 |
+
"loss": 1.2506,
|
| 530 |
+
"step": 43500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 2.24,
|
| 534 |
+
"learning_rate": 1.2647922715156455e-05,
|
| 535 |
+
"loss": 1.258,
|
| 536 |
+
"step": 44000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 2.27,
|
| 540 |
+
"learning_rate": 1.222346729146505e-05,
|
| 541 |
+
"loss": 1.261,
|
| 542 |
+
"step": 44500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 2.29,
|
| 546 |
+
"learning_rate": 1.1799011867773647e-05,
|
| 547 |
+
"loss": 1.2583,
|
| 548 |
+
"step": 45000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 2.32,
|
| 552 |
+
"learning_rate": 1.1374556444082243e-05,
|
| 553 |
+
"loss": 1.2456,
|
| 554 |
+
"step": 45500
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 2.34,
|
| 558 |
+
"learning_rate": 1.0950101020390839e-05,
|
| 559 |
+
"loss": 1.2456,
|
| 560 |
+
"step": 46000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 2.37,
|
| 564 |
+
"learning_rate": 1.0525645596699435e-05,
|
| 565 |
+
"loss": 1.2602,
|
| 566 |
+
"step": 46500
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 2.39,
|
| 570 |
+
"learning_rate": 1.0101190173008031e-05,
|
| 571 |
+
"loss": 1.2414,
|
| 572 |
+
"step": 47000
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 2.42,
|
| 576 |
+
"learning_rate": 9.676734749316626e-06,
|
| 577 |
+
"loss": 1.2601,
|
| 578 |
+
"step": 47500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 2.44,
|
| 582 |
+
"learning_rate": 9.252279325625224e-06,
|
| 583 |
+
"loss": 1.2492,
|
| 584 |
+
"step": 48000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 2.47,
|
| 588 |
+
"learning_rate": 8.82782390193382e-06,
|
| 589 |
+
"loss": 1.2642,
|
| 590 |
+
"step": 48500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 2.5,
|
| 594 |
+
"learning_rate": 8.403368478242416e-06,
|
| 595 |
+
"loss": 1.2438,
|
| 596 |
+
"step": 49000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 2.52,
|
| 600 |
+
"learning_rate": 7.978913054551012e-06,
|
| 601 |
+
"loss": 1.2482,
|
| 602 |
+
"step": 49500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 2.55,
|
| 606 |
+
"learning_rate": 7.554457630859607e-06,
|
| 607 |
+
"loss": 1.2333,
|
| 608 |
+
"step": 50000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 2.57,
|
| 612 |
+
"learning_rate": 7.1300022071682025e-06,
|
| 613 |
+
"loss": 1.2389,
|
| 614 |
+
"step": 50500
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 2.6,
|
| 618 |
+
"learning_rate": 6.7055467834768e-06,
|
| 619 |
+
"loss": 1.2319,
|
| 620 |
+
"step": 51000
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 2.62,
|
| 624 |
+
"learning_rate": 6.281091359785396e-06,
|
| 625 |
+
"loss": 1.2183,
|
| 626 |
+
"step": 51500
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 2.65,
|
| 630 |
+
"learning_rate": 5.856635936093992e-06,
|
| 631 |
+
"loss": 1.2313,
|
| 632 |
+
"step": 52000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 2.67,
|
| 636 |
+
"learning_rate": 5.432180512402588e-06,
|
| 637 |
+
"loss": 1.2145,
|
| 638 |
+
"step": 52500
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 2.7,
|
| 642 |
+
"learning_rate": 5.007725088711183e-06,
|
| 643 |
+
"loss": 1.2382,
|
| 644 |
+
"step": 53000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 2.73,
|
| 648 |
+
"learning_rate": 4.58326966501978e-06,
|
| 649 |
+
"loss": 1.2359,
|
| 650 |
+
"step": 53500
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 2.75,
|
| 654 |
+
"learning_rate": 4.158814241328375e-06,
|
| 655 |
+
"loss": 1.2376,
|
| 656 |
+
"step": 54000
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 2.78,
|
| 660 |
+
"learning_rate": 3.7343588176369715e-06,
|
| 661 |
+
"loss": 1.2418,
|
| 662 |
+
"step": 54500
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 2.8,
|
| 666 |
+
"learning_rate": 3.309903393945568e-06,
|
| 667 |
+
"loss": 1.2506,
|
| 668 |
+
"step": 55000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 2.83,
|
| 672 |
+
"learning_rate": 2.8854479702541638e-06,
|
| 673 |
+
"loss": 1.2148,
|
| 674 |
+
"step": 55500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 2.85,
|
| 678 |
+
"learning_rate": 2.4609925465627603e-06,
|
| 679 |
+
"loss": 1.2155,
|
| 680 |
+
"step": 56000
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 2.88,
|
| 684 |
+
"learning_rate": 2.0365371228713564e-06,
|
| 685 |
+
"loss": 1.233,
|
| 686 |
+
"step": 56500
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 2.9,
|
| 690 |
+
"learning_rate": 1.6120816991799521e-06,
|
| 691 |
+
"loss": 1.1969,
|
| 692 |
+
"step": 57000
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 2.93,
|
| 696 |
+
"learning_rate": 1.1876262754885483e-06,
|
| 697 |
+
"loss": 1.2299,
|
| 698 |
+
"step": 57500
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 2.95,
|
| 702 |
+
"learning_rate": 7.631708517971443e-07,
|
| 703 |
+
"loss": 1.2126,
|
| 704 |
+
"step": 58000
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 2.98,
|
| 708 |
+
"learning_rate": 3.3871542810574035e-07,
|
| 709 |
+
"loss": 1.2181,
|
| 710 |
+
"step": 58500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 3.0,
|
| 714 |
+
"step": 58899,
|
| 715 |
+
"total_flos": 1.196346300296233e+17,
|
| 716 |
+
"train_loss": 1.5319798234326785,
|
| 717 |
+
"train_runtime": 18598.6658,
|
| 718 |
+
"train_samples_per_second": 31.667,
|
| 719 |
+
"train_steps_per_second": 3.167
|
| 720 |
+
}
|
| 721 |
+
],
|
| 722 |
+
"max_steps": 58899,
|
| 723 |
+
"num_train_epochs": 3,
|
| 724 |
+
"total_flos": 1.196346300296233e+17,
|
| 725 |
+
"trial_name": null,
|
| 726 |
+
"trial_params": null
|
| 727 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:709ffd182c16a615d4b3e53ae3a44faa700d48c2b7bfd03381773d571d0e7e68
|
| 3 |
+
size 2735
|
vocab.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|