artelabsuper
commited on
Commit
·
e10840f
1
Parent(s):
d8f39ef
train
Browse files- README.md +62 -0
- all_results.json +28 -0
- config.json +60 -0
- eval_results.json +13 -0
- generated_predictions.txt +0 -0
- predict_results.json +12 -0
- pytorch_model.bin +3 -0
- sentencepiece.bpe.model +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- train_results.json +8 -0
- trainer_state.json +1711 -0
- training_args.bin +3 -0
README.md
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
language:
|
| 3 |
+
- it_IT
|
| 4 |
+
- it_IT
|
| 5 |
+
tags:
|
| 6 |
+
- generated_from_trainer
|
| 7 |
+
metrics:
|
| 8 |
+
- rouge
|
| 9 |
+
model-index:
|
| 10 |
+
- name: summarization_mbart_ilpost
|
| 11 |
+
results: []
|
| 12 |
+
---
|
| 13 |
+
|
| 14 |
+
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
|
| 15 |
+
should probably proofread and complete it, then remove this comment. -->
|
| 16 |
+
|
| 17 |
+
# summarization_mbart_ilpost
|
| 18 |
+
|
| 19 |
+
This model is a fine-tuned version of [facebook/mbart-large-cc25](https://huggingface.co/facebook/mbart-large-cc25) on an unknown dataset.
|
| 20 |
+
It achieves the following results on the evaluation set:
|
| 21 |
+
- Loss: 2.3640
|
| 22 |
+
- Rouge1: 38.9101
|
| 23 |
+
- Rouge2: 21.384
|
| 24 |
+
- Rougel: 32.0517
|
| 25 |
+
- Rougelsum: 35.0743
|
| 26 |
+
- Gen Len: 39.8843
|
| 27 |
+
|
| 28 |
+
## Model description
|
| 29 |
+
|
| 30 |
+
More information needed
|
| 31 |
+
|
| 32 |
+
## Intended uses & limitations
|
| 33 |
+
|
| 34 |
+
More information needed
|
| 35 |
+
|
| 36 |
+
## Training and evaluation data
|
| 37 |
+
|
| 38 |
+
More information needed
|
| 39 |
+
|
| 40 |
+
## Training procedure
|
| 41 |
+
|
| 42 |
+
### Training hyperparameters
|
| 43 |
+
|
| 44 |
+
The following hyperparameters were used during training:
|
| 45 |
+
- learning_rate: 5e-05
|
| 46 |
+
- train_batch_size: 1
|
| 47 |
+
- eval_batch_size: 1
|
| 48 |
+
- seed: 42
|
| 49 |
+
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
|
| 50 |
+
- lr_scheduler_type: linear
|
| 51 |
+
- num_epochs: 4.0
|
| 52 |
+
|
| 53 |
+
### Training results
|
| 54 |
+
|
| 55 |
+
|
| 56 |
+
|
| 57 |
+
### Framework versions
|
| 58 |
+
|
| 59 |
+
- Transformers 4.15.0.dev0
|
| 60 |
+
- Pytorch 1.10.0+cu102
|
| 61 |
+
- Datasets 1.15.1
|
| 62 |
+
- Tokenizers 0.10.3
|
all_results.json
ADDED
|
@@ -0,0 +1,28 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_gen_len": 39.8843,
|
| 4 |
+
"eval_loss": 2.3640177249908447,
|
| 5 |
+
"eval_rouge1": 38.9101,
|
| 6 |
+
"eval_rouge2": 21.384,
|
| 7 |
+
"eval_rougeL": 32.0517,
|
| 8 |
+
"eval_rougeLsum": 35.0743,
|
| 9 |
+
"eval_runtime": 3305.1745,
|
| 10 |
+
"eval_samples": 4400,
|
| 11 |
+
"eval_samples_per_second": 1.331,
|
| 12 |
+
"eval_steps_per_second": 1.331,
|
| 13 |
+
"predict_gen_len": 39.8843,
|
| 14 |
+
"predict_loss": 2.3640177249908447,
|
| 15 |
+
"predict_rouge1": 38.9101,
|
| 16 |
+
"predict_rouge2": 21.384,
|
| 17 |
+
"predict_rougeL": 32.0517,
|
| 18 |
+
"predict_rougeLsum": 35.0743,
|
| 19 |
+
"predict_runtime": 3307.2928,
|
| 20 |
+
"predict_samples": 4400,
|
| 21 |
+
"predict_samples_per_second": 1.33,
|
| 22 |
+
"predict_steps_per_second": 1.33,
|
| 23 |
+
"train_loss": 1.5602563560180023,
|
| 24 |
+
"train_runtime": 41389.8114,
|
| 25 |
+
"train_samples": 35201,
|
| 26 |
+
"train_samples_per_second": 3.402,
|
| 27 |
+
"train_steps_per_second": 3.402
|
| 28 |
+
}
|
config.json
ADDED
|
@@ -0,0 +1,60 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "facebook/mbart-large-cc25",
|
| 3 |
+
"_num_labels": 3,
|
| 4 |
+
"activation_dropout": 0.0,
|
| 5 |
+
"activation_function": "gelu",
|
| 6 |
+
"add_bias_logits": false,
|
| 7 |
+
"add_final_layer_norm": true,
|
| 8 |
+
"architectures": [
|
| 9 |
+
"MBartForConditionalGeneration"
|
| 10 |
+
],
|
| 11 |
+
"attention_dropout": 0.0,
|
| 12 |
+
"bos_token_id": 0,
|
| 13 |
+
"classif_dropout": 0.0,
|
| 14 |
+
"classifier_dropout": 0.0,
|
| 15 |
+
"d_model": 1024,
|
| 16 |
+
"decoder_attention_heads": 16,
|
| 17 |
+
"decoder_ffn_dim": 4096,
|
| 18 |
+
"decoder_layerdrop": 0.0,
|
| 19 |
+
"decoder_layers": 12,
|
| 20 |
+
"decoder_start_token_id": 250011,
|
| 21 |
+
"dropout": 0.1,
|
| 22 |
+
"encoder_attention_heads": 16,
|
| 23 |
+
"encoder_ffn_dim": 4096,
|
| 24 |
+
"encoder_layerdrop": 0.0,
|
| 25 |
+
"encoder_layers": 12,
|
| 26 |
+
"eos_token_id": 2,
|
| 27 |
+
"forced_eos_token_id": 2,
|
| 28 |
+
"id2label": {
|
| 29 |
+
"0": "LABEL_0",
|
| 30 |
+
"1": "LABEL_1",
|
| 31 |
+
"2": "LABEL_2"
|
| 32 |
+
},
|
| 33 |
+
"init_std": 0.02,
|
| 34 |
+
"is_encoder_decoder": true,
|
| 35 |
+
"label2id": {
|
| 36 |
+
"LABEL_0": 0,
|
| 37 |
+
"LABEL_1": 1,
|
| 38 |
+
"LABEL_2": 2
|
| 39 |
+
},
|
| 40 |
+
"max_length": 1024,
|
| 41 |
+
"max_position_embeddings": 1024,
|
| 42 |
+
"model_type": "mbart",
|
| 43 |
+
"normalize_before": true,
|
| 44 |
+
"normalize_embedding": true,
|
| 45 |
+
"num_beams": 5,
|
| 46 |
+
"num_hidden_layers": 12,
|
| 47 |
+
"output_past": true,
|
| 48 |
+
"pad_token_id": 1,
|
| 49 |
+
"scale_embedding": true,
|
| 50 |
+
"static_position_embeddings": false,
|
| 51 |
+
"task_specific_params": {
|
| 52 |
+
"translation_en_to_ro": {
|
| 53 |
+
"decoder_start_token_id": 250020
|
| 54 |
+
}
|
| 55 |
+
},
|
| 56 |
+
"torch_dtype": "float32",
|
| 57 |
+
"transformers_version": "4.15.0.dev0",
|
| 58 |
+
"use_cache": true,
|
| 59 |
+
"vocab_size": 250027
|
| 60 |
+
}
|
eval_results.json
ADDED
|
@@ -0,0 +1,13 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"eval_gen_len": 39.8843,
|
| 4 |
+
"eval_loss": 2.3640177249908447,
|
| 5 |
+
"eval_rouge1": 38.9101,
|
| 6 |
+
"eval_rouge2": 21.384,
|
| 7 |
+
"eval_rougeL": 32.0517,
|
| 8 |
+
"eval_rougeLsum": 35.0743,
|
| 9 |
+
"eval_runtime": 3305.1745,
|
| 10 |
+
"eval_samples": 4400,
|
| 11 |
+
"eval_samples_per_second": 1.331,
|
| 12 |
+
"eval_steps_per_second": 1.331
|
| 13 |
+
}
|
generated_predictions.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
predict_results.json
ADDED
|
@@ -0,0 +1,12 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"predict_gen_len": 39.8843,
|
| 3 |
+
"predict_loss": 2.3640177249908447,
|
| 4 |
+
"predict_rouge1": 38.9101,
|
| 5 |
+
"predict_rouge2": 21.384,
|
| 6 |
+
"predict_rougeL": 32.0517,
|
| 7 |
+
"predict_rougeLsum": 35.0743,
|
| 8 |
+
"predict_runtime": 3307.2928,
|
| 9 |
+
"predict_samples": 4400,
|
| 10 |
+
"predict_samples_per_second": 1.33,
|
| 11 |
+
"predict_steps_per_second": 1.33
|
| 12 |
+
}
|
pytorch_model.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:5012676683febe9eaa832c566d4528ba148f0b31239ba8ad72b6b3c9b43f595f
|
| 3 |
+
size 2444599289
|
sentencepiece.bpe.model
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:cfc8146abe2a0488e9e2a0c56de7952f7c11ab059eca145a0a727afce0db2865
|
| 3 |
+
size 5069051
|
special_tokens_map.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}, "additional_special_tokens": ["ar_AR", "cs_CZ", "de_DE", "en_XX", "es_XX", "et_EE", "fi_FI", "fr_XX", "gu_IN", "hi_IN", "it_IT", "ja_XX", "kk_KZ", "ko_KR", "lt_LT", "lv_LV", "my_MM", "ne_NP", "nl_XX", "ro_RO", "ru_RU", "si_LK", "tr_TR", "vi_VN", "zh_CN"]}
|
tokenizer.json
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
tokenizer_config.json
ADDED
|
@@ -0,0 +1 @@
|
|
|
|
|
|
|
| 1 |
+
{"bos_token": "<s>", "eos_token": "</s>", "sep_token": "</s>", "cls_token": "<s>", "unk_token": "<unk>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": true, "__type": "AddedToken"}, "src_lang": null, "tgt_lang": null, "additional_special_tokens": null, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "facebook/mbart-large-cc25", "tokenizer_class": "MBartTokenizer"}
|
train_results.json
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"epoch": 4.0,
|
| 3 |
+
"train_loss": 1.5602563560180023,
|
| 4 |
+
"train_runtime": 41389.8114,
|
| 5 |
+
"train_samples": 35201,
|
| 6 |
+
"train_samples_per_second": 3.402,
|
| 7 |
+
"train_steps_per_second": 3.402
|
| 8 |
+
}
|
trainer_state.json
ADDED
|
@@ -0,0 +1,1711 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"best_metric": null,
|
| 3 |
+
"best_model_checkpoint": null,
|
| 4 |
+
"epoch": 4.0,
|
| 5 |
+
"global_step": 140804,
|
| 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": 4.9822448225902675e-05,
|
| 13 |
+
"loss": 3.154,
|
| 14 |
+
"step": 500
|
| 15 |
+
},
|
| 16 |
+
{
|
| 17 |
+
"epoch": 0.03,
|
| 18 |
+
"learning_rate": 4.9644896451805353e-05,
|
| 19 |
+
"loss": 2.9047,
|
| 20 |
+
"step": 1000
|
| 21 |
+
},
|
| 22 |
+
{
|
| 23 |
+
"epoch": 0.04,
|
| 24 |
+
"learning_rate": 4.946734467770802e-05,
|
| 25 |
+
"loss": 2.8071,
|
| 26 |
+
"step": 1500
|
| 27 |
+
},
|
| 28 |
+
{
|
| 29 |
+
"epoch": 0.06,
|
| 30 |
+
"learning_rate": 4.928979290361069e-05,
|
| 31 |
+
"loss": 2.9013,
|
| 32 |
+
"step": 2000
|
| 33 |
+
},
|
| 34 |
+
{
|
| 35 |
+
"epoch": 0.07,
|
| 36 |
+
"learning_rate": 4.911224112951337e-05,
|
| 37 |
+
"loss": 2.7409,
|
| 38 |
+
"step": 2500
|
| 39 |
+
},
|
| 40 |
+
{
|
| 41 |
+
"epoch": 0.09,
|
| 42 |
+
"learning_rate": 4.893468935541604e-05,
|
| 43 |
+
"loss": 7.1257,
|
| 44 |
+
"step": 3000
|
| 45 |
+
},
|
| 46 |
+
{
|
| 47 |
+
"epoch": 0.1,
|
| 48 |
+
"learning_rate": 4.8757137581318714e-05,
|
| 49 |
+
"loss": 2.904,
|
| 50 |
+
"step": 3500
|
| 51 |
+
},
|
| 52 |
+
{
|
| 53 |
+
"epoch": 0.11,
|
| 54 |
+
"learning_rate": 4.8579585807221386e-05,
|
| 55 |
+
"loss": 2.823,
|
| 56 |
+
"step": 4000
|
| 57 |
+
},
|
| 58 |
+
{
|
| 59 |
+
"epoch": 0.13,
|
| 60 |
+
"learning_rate": 4.840203403312406e-05,
|
| 61 |
+
"loss": 2.7295,
|
| 62 |
+
"step": 4500
|
| 63 |
+
},
|
| 64 |
+
{
|
| 65 |
+
"epoch": 0.14,
|
| 66 |
+
"learning_rate": 4.822448225902673e-05,
|
| 67 |
+
"loss": 2.7083,
|
| 68 |
+
"step": 5000
|
| 69 |
+
},
|
| 70 |
+
{
|
| 71 |
+
"epoch": 0.16,
|
| 72 |
+
"learning_rate": 4.804693048492941e-05,
|
| 73 |
+
"loss": 2.6503,
|
| 74 |
+
"step": 5500
|
| 75 |
+
},
|
| 76 |
+
{
|
| 77 |
+
"epoch": 0.17,
|
| 78 |
+
"learning_rate": 4.786937871083208e-05,
|
| 79 |
+
"loss": 2.6333,
|
| 80 |
+
"step": 6000
|
| 81 |
+
},
|
| 82 |
+
{
|
| 83 |
+
"epoch": 0.18,
|
| 84 |
+
"learning_rate": 4.7691826936734754e-05,
|
| 85 |
+
"loss": 2.6817,
|
| 86 |
+
"step": 6500
|
| 87 |
+
},
|
| 88 |
+
{
|
| 89 |
+
"epoch": 0.2,
|
| 90 |
+
"learning_rate": 4.7514275162637426e-05,
|
| 91 |
+
"loss": 2.5641,
|
| 92 |
+
"step": 7000
|
| 93 |
+
},
|
| 94 |
+
{
|
| 95 |
+
"epoch": 0.21,
|
| 96 |
+
"learning_rate": 4.73367233885401e-05,
|
| 97 |
+
"loss": 2.5646,
|
| 98 |
+
"step": 7500
|
| 99 |
+
},
|
| 100 |
+
{
|
| 101 |
+
"epoch": 0.23,
|
| 102 |
+
"learning_rate": 4.715917161444278e-05,
|
| 103 |
+
"loss": 2.5781,
|
| 104 |
+
"step": 8000
|
| 105 |
+
},
|
| 106 |
+
{
|
| 107 |
+
"epoch": 0.24,
|
| 108 |
+
"learning_rate": 4.698161984034545e-05,
|
| 109 |
+
"loss": 2.5461,
|
| 110 |
+
"step": 8500
|
| 111 |
+
},
|
| 112 |
+
{
|
| 113 |
+
"epoch": 0.26,
|
| 114 |
+
"learning_rate": 4.680406806624812e-05,
|
| 115 |
+
"loss": 2.5121,
|
| 116 |
+
"step": 9000
|
| 117 |
+
},
|
| 118 |
+
{
|
| 119 |
+
"epoch": 0.27,
|
| 120 |
+
"learning_rate": 4.662651629215079e-05,
|
| 121 |
+
"loss": 2.5666,
|
| 122 |
+
"step": 9500
|
| 123 |
+
},
|
| 124 |
+
{
|
| 125 |
+
"epoch": 0.28,
|
| 126 |
+
"learning_rate": 4.6448964518053465e-05,
|
| 127 |
+
"loss": 2.5357,
|
| 128 |
+
"step": 10000
|
| 129 |
+
},
|
| 130 |
+
{
|
| 131 |
+
"epoch": 0.3,
|
| 132 |
+
"learning_rate": 4.627141274395614e-05,
|
| 133 |
+
"loss": 2.4651,
|
| 134 |
+
"step": 10500
|
| 135 |
+
},
|
| 136 |
+
{
|
| 137 |
+
"epoch": 0.31,
|
| 138 |
+
"learning_rate": 4.6093860969858816e-05,
|
| 139 |
+
"loss": 2.5033,
|
| 140 |
+
"step": 11000
|
| 141 |
+
},
|
| 142 |
+
{
|
| 143 |
+
"epoch": 0.33,
|
| 144 |
+
"learning_rate": 4.591630919576149e-05,
|
| 145 |
+
"loss": 2.5227,
|
| 146 |
+
"step": 11500
|
| 147 |
+
},
|
| 148 |
+
{
|
| 149 |
+
"epoch": 0.34,
|
| 150 |
+
"learning_rate": 4.573875742166416e-05,
|
| 151 |
+
"loss": 2.4618,
|
| 152 |
+
"step": 12000
|
| 153 |
+
},
|
| 154 |
+
{
|
| 155 |
+
"epoch": 0.36,
|
| 156 |
+
"learning_rate": 4.556120564756683e-05,
|
| 157 |
+
"loss": 2.4844,
|
| 158 |
+
"step": 12500
|
| 159 |
+
},
|
| 160 |
+
{
|
| 161 |
+
"epoch": 0.37,
|
| 162 |
+
"learning_rate": 4.5383653873469505e-05,
|
| 163 |
+
"loss": 2.5515,
|
| 164 |
+
"step": 13000
|
| 165 |
+
},
|
| 166 |
+
{
|
| 167 |
+
"epoch": 0.38,
|
| 168 |
+
"learning_rate": 4.520610209937218e-05,
|
| 169 |
+
"loss": 2.5156,
|
| 170 |
+
"step": 13500
|
| 171 |
+
},
|
| 172 |
+
{
|
| 173 |
+
"epoch": 0.4,
|
| 174 |
+
"learning_rate": 4.5028550325274856e-05,
|
| 175 |
+
"loss": 2.4882,
|
| 176 |
+
"step": 14000
|
| 177 |
+
},
|
| 178 |
+
{
|
| 179 |
+
"epoch": 0.41,
|
| 180 |
+
"learning_rate": 4.485099855117753e-05,
|
| 181 |
+
"loss": 2.4225,
|
| 182 |
+
"step": 14500
|
| 183 |
+
},
|
| 184 |
+
{
|
| 185 |
+
"epoch": 0.43,
|
| 186 |
+
"learning_rate": 4.46734467770802e-05,
|
| 187 |
+
"loss": 2.4459,
|
| 188 |
+
"step": 15000
|
| 189 |
+
},
|
| 190 |
+
{
|
| 191 |
+
"epoch": 0.44,
|
| 192 |
+
"learning_rate": 4.449589500298287e-05,
|
| 193 |
+
"loss": 2.5628,
|
| 194 |
+
"step": 15500
|
| 195 |
+
},
|
| 196 |
+
{
|
| 197 |
+
"epoch": 0.45,
|
| 198 |
+
"learning_rate": 4.4318343228885544e-05,
|
| 199 |
+
"loss": 2.4405,
|
| 200 |
+
"step": 16000
|
| 201 |
+
},
|
| 202 |
+
{
|
| 203 |
+
"epoch": 0.47,
|
| 204 |
+
"learning_rate": 4.4140791454788216e-05,
|
| 205 |
+
"loss": 2.5211,
|
| 206 |
+
"step": 16500
|
| 207 |
+
},
|
| 208 |
+
{
|
| 209 |
+
"epoch": 0.48,
|
| 210 |
+
"learning_rate": 4.3963239680690895e-05,
|
| 211 |
+
"loss": 2.5868,
|
| 212 |
+
"step": 17000
|
| 213 |
+
},
|
| 214 |
+
{
|
| 215 |
+
"epoch": 0.5,
|
| 216 |
+
"learning_rate": 4.378568790659357e-05,
|
| 217 |
+
"loss": 2.4548,
|
| 218 |
+
"step": 17500
|
| 219 |
+
},
|
| 220 |
+
{
|
| 221 |
+
"epoch": 0.51,
|
| 222 |
+
"learning_rate": 4.360813613249623e-05,
|
| 223 |
+
"loss": 2.4125,
|
| 224 |
+
"step": 18000
|
| 225 |
+
},
|
| 226 |
+
{
|
| 227 |
+
"epoch": 0.53,
|
| 228 |
+
"learning_rate": 4.343058435839891e-05,
|
| 229 |
+
"loss": 2.3719,
|
| 230 |
+
"step": 18500
|
| 231 |
+
},
|
| 232 |
+
{
|
| 233 |
+
"epoch": 0.54,
|
| 234 |
+
"learning_rate": 4.3253032584301584e-05,
|
| 235 |
+
"loss": 2.4151,
|
| 236 |
+
"step": 19000
|
| 237 |
+
},
|
| 238 |
+
{
|
| 239 |
+
"epoch": 0.55,
|
| 240 |
+
"learning_rate": 4.3075480810204256e-05,
|
| 241 |
+
"loss": 2.4405,
|
| 242 |
+
"step": 19500
|
| 243 |
+
},
|
| 244 |
+
{
|
| 245 |
+
"epoch": 0.57,
|
| 246 |
+
"learning_rate": 4.2897929036106935e-05,
|
| 247 |
+
"loss": 2.4156,
|
| 248 |
+
"step": 20000
|
| 249 |
+
},
|
| 250 |
+
{
|
| 251 |
+
"epoch": 0.58,
|
| 252 |
+
"learning_rate": 4.27203772620096e-05,
|
| 253 |
+
"loss": 2.4121,
|
| 254 |
+
"step": 20500
|
| 255 |
+
},
|
| 256 |
+
{
|
| 257 |
+
"epoch": 0.6,
|
| 258 |
+
"learning_rate": 4.254282548791227e-05,
|
| 259 |
+
"loss": 2.3612,
|
| 260 |
+
"step": 21000
|
| 261 |
+
},
|
| 262 |
+
{
|
| 263 |
+
"epoch": 0.61,
|
| 264 |
+
"learning_rate": 4.236527371381495e-05,
|
| 265 |
+
"loss": 2.3231,
|
| 266 |
+
"step": 21500
|
| 267 |
+
},
|
| 268 |
+
{
|
| 269 |
+
"epoch": 0.62,
|
| 270 |
+
"learning_rate": 4.2187721939717623e-05,
|
| 271 |
+
"loss": 2.3604,
|
| 272 |
+
"step": 22000
|
| 273 |
+
},
|
| 274 |
+
{
|
| 275 |
+
"epoch": 0.64,
|
| 276 |
+
"learning_rate": 4.20101701656203e-05,
|
| 277 |
+
"loss": 2.3752,
|
| 278 |
+
"step": 22500
|
| 279 |
+
},
|
| 280 |
+
{
|
| 281 |
+
"epoch": 0.65,
|
| 282 |
+
"learning_rate": 4.183261839152297e-05,
|
| 283 |
+
"loss": 2.3747,
|
| 284 |
+
"step": 23000
|
| 285 |
+
},
|
| 286 |
+
{
|
| 287 |
+
"epoch": 0.67,
|
| 288 |
+
"learning_rate": 4.165506661742564e-05,
|
| 289 |
+
"loss": 2.3668,
|
| 290 |
+
"step": 23500
|
| 291 |
+
},
|
| 292 |
+
{
|
| 293 |
+
"epoch": 0.68,
|
| 294 |
+
"learning_rate": 4.147751484332832e-05,
|
| 295 |
+
"loss": 2.4354,
|
| 296 |
+
"step": 24000
|
| 297 |
+
},
|
| 298 |
+
{
|
| 299 |
+
"epoch": 0.7,
|
| 300 |
+
"learning_rate": 4.129996306923099e-05,
|
| 301 |
+
"loss": 2.3519,
|
| 302 |
+
"step": 24500
|
| 303 |
+
},
|
| 304 |
+
{
|
| 305 |
+
"epoch": 0.71,
|
| 306 |
+
"learning_rate": 4.112241129513366e-05,
|
| 307 |
+
"loss": 2.3312,
|
| 308 |
+
"step": 25000
|
| 309 |
+
},
|
| 310 |
+
{
|
| 311 |
+
"epoch": 0.72,
|
| 312 |
+
"learning_rate": 4.0944859521036335e-05,
|
| 313 |
+
"loss": 2.3092,
|
| 314 |
+
"step": 25500
|
| 315 |
+
},
|
| 316 |
+
{
|
| 317 |
+
"epoch": 0.74,
|
| 318 |
+
"learning_rate": 4.076730774693901e-05,
|
| 319 |
+
"loss": 2.378,
|
| 320 |
+
"step": 26000
|
| 321 |
+
},
|
| 322 |
+
{
|
| 323 |
+
"epoch": 0.75,
|
| 324 |
+
"learning_rate": 4.058975597284168e-05,
|
| 325 |
+
"loss": 2.371,
|
| 326 |
+
"step": 26500
|
| 327 |
+
},
|
| 328 |
+
{
|
| 329 |
+
"epoch": 0.77,
|
| 330 |
+
"learning_rate": 4.041220419874436e-05,
|
| 331 |
+
"loss": 2.2957,
|
| 332 |
+
"step": 27000
|
| 333 |
+
},
|
| 334 |
+
{
|
| 335 |
+
"epoch": 0.78,
|
| 336 |
+
"learning_rate": 4.023465242464703e-05,
|
| 337 |
+
"loss": 2.3008,
|
| 338 |
+
"step": 27500
|
| 339 |
+
},
|
| 340 |
+
{
|
| 341 |
+
"epoch": 0.8,
|
| 342 |
+
"learning_rate": 4.00571006505497e-05,
|
| 343 |
+
"loss": 2.3263,
|
| 344 |
+
"step": 28000
|
| 345 |
+
},
|
| 346 |
+
{
|
| 347 |
+
"epoch": 0.81,
|
| 348 |
+
"learning_rate": 3.9879548876452375e-05,
|
| 349 |
+
"loss": 2.2668,
|
| 350 |
+
"step": 28500
|
| 351 |
+
},
|
| 352 |
+
{
|
| 353 |
+
"epoch": 0.82,
|
| 354 |
+
"learning_rate": 3.970199710235505e-05,
|
| 355 |
+
"loss": 2.3133,
|
| 356 |
+
"step": 29000
|
| 357 |
+
},
|
| 358 |
+
{
|
| 359 |
+
"epoch": 0.84,
|
| 360 |
+
"learning_rate": 3.952444532825772e-05,
|
| 361 |
+
"loss": 2.2935,
|
| 362 |
+
"step": 29500
|
| 363 |
+
},
|
| 364 |
+
{
|
| 365 |
+
"epoch": 0.85,
|
| 366 |
+
"learning_rate": 3.93468935541604e-05,
|
| 367 |
+
"loss": 2.2905,
|
| 368 |
+
"step": 30000
|
| 369 |
+
},
|
| 370 |
+
{
|
| 371 |
+
"epoch": 0.87,
|
| 372 |
+
"learning_rate": 3.916934178006307e-05,
|
| 373 |
+
"loss": 2.2517,
|
| 374 |
+
"step": 30500
|
| 375 |
+
},
|
| 376 |
+
{
|
| 377 |
+
"epoch": 0.88,
|
| 378 |
+
"learning_rate": 3.899179000596574e-05,
|
| 379 |
+
"loss": 2.1286,
|
| 380 |
+
"step": 31000
|
| 381 |
+
},
|
| 382 |
+
{
|
| 383 |
+
"epoch": 0.89,
|
| 384 |
+
"learning_rate": 3.8814238231868414e-05,
|
| 385 |
+
"loss": 2.2542,
|
| 386 |
+
"step": 31500
|
| 387 |
+
},
|
| 388 |
+
{
|
| 389 |
+
"epoch": 0.91,
|
| 390 |
+
"learning_rate": 3.8636686457771086e-05,
|
| 391 |
+
"loss": 2.272,
|
| 392 |
+
"step": 32000
|
| 393 |
+
},
|
| 394 |
+
{
|
| 395 |
+
"epoch": 0.92,
|
| 396 |
+
"learning_rate": 3.845913468367376e-05,
|
| 397 |
+
"loss": 2.3143,
|
| 398 |
+
"step": 32500
|
| 399 |
+
},
|
| 400 |
+
{
|
| 401 |
+
"epoch": 0.94,
|
| 402 |
+
"learning_rate": 3.828158290957644e-05,
|
| 403 |
+
"loss": 2.2873,
|
| 404 |
+
"step": 33000
|
| 405 |
+
},
|
| 406 |
+
{
|
| 407 |
+
"epoch": 0.95,
|
| 408 |
+
"learning_rate": 3.810403113547911e-05,
|
| 409 |
+
"loss": 2.2756,
|
| 410 |
+
"step": 33500
|
| 411 |
+
},
|
| 412 |
+
{
|
| 413 |
+
"epoch": 0.97,
|
| 414 |
+
"learning_rate": 3.7926479361381775e-05,
|
| 415 |
+
"loss": 2.3062,
|
| 416 |
+
"step": 34000
|
| 417 |
+
},
|
| 418 |
+
{
|
| 419 |
+
"epoch": 0.98,
|
| 420 |
+
"learning_rate": 3.7748927587284454e-05,
|
| 421 |
+
"loss": 2.27,
|
| 422 |
+
"step": 34500
|
| 423 |
+
},
|
| 424 |
+
{
|
| 425 |
+
"epoch": 0.99,
|
| 426 |
+
"learning_rate": 3.7571375813187126e-05,
|
| 427 |
+
"loss": 2.1815,
|
| 428 |
+
"step": 35000
|
| 429 |
+
},
|
| 430 |
+
{
|
| 431 |
+
"epoch": 1.01,
|
| 432 |
+
"learning_rate": 3.7393824039089805e-05,
|
| 433 |
+
"loss": 2.001,
|
| 434 |
+
"step": 35500
|
| 435 |
+
},
|
| 436 |
+
{
|
| 437 |
+
"epoch": 1.02,
|
| 438 |
+
"learning_rate": 3.721627226499248e-05,
|
| 439 |
+
"loss": 1.7794,
|
| 440 |
+
"step": 36000
|
| 441 |
+
},
|
| 442 |
+
{
|
| 443 |
+
"epoch": 1.04,
|
| 444 |
+
"learning_rate": 3.703872049089515e-05,
|
| 445 |
+
"loss": 1.782,
|
| 446 |
+
"step": 36500
|
| 447 |
+
},
|
| 448 |
+
{
|
| 449 |
+
"epoch": 1.05,
|
| 450 |
+
"learning_rate": 3.686116871679782e-05,
|
| 451 |
+
"loss": 1.7742,
|
| 452 |
+
"step": 37000
|
| 453 |
+
},
|
| 454 |
+
{
|
| 455 |
+
"epoch": 1.07,
|
| 456 |
+
"learning_rate": 3.668361694270049e-05,
|
| 457 |
+
"loss": 1.8578,
|
| 458 |
+
"step": 37500
|
| 459 |
+
},
|
| 460 |
+
{
|
| 461 |
+
"epoch": 1.08,
|
| 462 |
+
"learning_rate": 3.6506065168603165e-05,
|
| 463 |
+
"loss": 1.7768,
|
| 464 |
+
"step": 38000
|
| 465 |
+
},
|
| 466 |
+
{
|
| 467 |
+
"epoch": 1.09,
|
| 468 |
+
"learning_rate": 3.6328513394505844e-05,
|
| 469 |
+
"loss": 1.8162,
|
| 470 |
+
"step": 38500
|
| 471 |
+
},
|
| 472 |
+
{
|
| 473 |
+
"epoch": 1.11,
|
| 474 |
+
"learning_rate": 3.6150961620408516e-05,
|
| 475 |
+
"loss": 1.7432,
|
| 476 |
+
"step": 39000
|
| 477 |
+
},
|
| 478 |
+
{
|
| 479 |
+
"epoch": 1.12,
|
| 480 |
+
"learning_rate": 3.597340984631118e-05,
|
| 481 |
+
"loss": 1.7879,
|
| 482 |
+
"step": 39500
|
| 483 |
+
},
|
| 484 |
+
{
|
| 485 |
+
"epoch": 1.14,
|
| 486 |
+
"learning_rate": 3.579585807221386e-05,
|
| 487 |
+
"loss": 1.8667,
|
| 488 |
+
"step": 40000
|
| 489 |
+
},
|
| 490 |
+
{
|
| 491 |
+
"epoch": 1.15,
|
| 492 |
+
"learning_rate": 3.561830629811653e-05,
|
| 493 |
+
"loss": 1.8724,
|
| 494 |
+
"step": 40500
|
| 495 |
+
},
|
| 496 |
+
{
|
| 497 |
+
"epoch": 1.16,
|
| 498 |
+
"learning_rate": 3.5440754524019205e-05,
|
| 499 |
+
"loss": 1.8405,
|
| 500 |
+
"step": 41000
|
| 501 |
+
},
|
| 502 |
+
{
|
| 503 |
+
"epoch": 1.18,
|
| 504 |
+
"learning_rate": 3.5263202749921884e-05,
|
| 505 |
+
"loss": 1.801,
|
| 506 |
+
"step": 41500
|
| 507 |
+
},
|
| 508 |
+
{
|
| 509 |
+
"epoch": 1.19,
|
| 510 |
+
"learning_rate": 3.508565097582455e-05,
|
| 511 |
+
"loss": 1.8085,
|
| 512 |
+
"step": 42000
|
| 513 |
+
},
|
| 514 |
+
{
|
| 515 |
+
"epoch": 1.21,
|
| 516 |
+
"learning_rate": 3.490809920172722e-05,
|
| 517 |
+
"loss": 1.8483,
|
| 518 |
+
"step": 42500
|
| 519 |
+
},
|
| 520 |
+
{
|
| 521 |
+
"epoch": 1.22,
|
| 522 |
+
"learning_rate": 3.47305474276299e-05,
|
| 523 |
+
"loss": 1.7794,
|
| 524 |
+
"step": 43000
|
| 525 |
+
},
|
| 526 |
+
{
|
| 527 |
+
"epoch": 1.24,
|
| 528 |
+
"learning_rate": 3.455299565353257e-05,
|
| 529 |
+
"loss": 1.8514,
|
| 530 |
+
"step": 43500
|
| 531 |
+
},
|
| 532 |
+
{
|
| 533 |
+
"epoch": 1.25,
|
| 534 |
+
"learning_rate": 3.4375443879435245e-05,
|
| 535 |
+
"loss": 1.8237,
|
| 536 |
+
"step": 44000
|
| 537 |
+
},
|
| 538 |
+
{
|
| 539 |
+
"epoch": 1.26,
|
| 540 |
+
"learning_rate": 3.419789210533792e-05,
|
| 541 |
+
"loss": 1.7449,
|
| 542 |
+
"step": 44500
|
| 543 |
+
},
|
| 544 |
+
{
|
| 545 |
+
"epoch": 1.28,
|
| 546 |
+
"learning_rate": 3.402034033124059e-05,
|
| 547 |
+
"loss": 1.8584,
|
| 548 |
+
"step": 45000
|
| 549 |
+
},
|
| 550 |
+
{
|
| 551 |
+
"epoch": 1.29,
|
| 552 |
+
"learning_rate": 3.384278855714326e-05,
|
| 553 |
+
"loss": 1.7689,
|
| 554 |
+
"step": 45500
|
| 555 |
+
},
|
| 556 |
+
{
|
| 557 |
+
"epoch": 1.31,
|
| 558 |
+
"learning_rate": 3.366523678304594e-05,
|
| 559 |
+
"loss": 1.743,
|
| 560 |
+
"step": 46000
|
| 561 |
+
},
|
| 562 |
+
{
|
| 563 |
+
"epoch": 1.32,
|
| 564 |
+
"learning_rate": 3.348768500894861e-05,
|
| 565 |
+
"loss": 1.805,
|
| 566 |
+
"step": 46500
|
| 567 |
+
},
|
| 568 |
+
{
|
| 569 |
+
"epoch": 1.34,
|
| 570 |
+
"learning_rate": 3.3310133234851284e-05,
|
| 571 |
+
"loss": 1.7769,
|
| 572 |
+
"step": 47000
|
| 573 |
+
},
|
| 574 |
+
{
|
| 575 |
+
"epoch": 1.35,
|
| 576 |
+
"learning_rate": 3.3132581460753956e-05,
|
| 577 |
+
"loss": 1.8575,
|
| 578 |
+
"step": 47500
|
| 579 |
+
},
|
| 580 |
+
{
|
| 581 |
+
"epoch": 1.36,
|
| 582 |
+
"learning_rate": 3.295502968665663e-05,
|
| 583 |
+
"loss": 1.8076,
|
| 584 |
+
"step": 48000
|
| 585 |
+
},
|
| 586 |
+
{
|
| 587 |
+
"epoch": 1.38,
|
| 588 |
+
"learning_rate": 3.27774779125593e-05,
|
| 589 |
+
"loss": 1.7576,
|
| 590 |
+
"step": 48500
|
| 591 |
+
},
|
| 592 |
+
{
|
| 593 |
+
"epoch": 1.39,
|
| 594 |
+
"learning_rate": 3.259992613846198e-05,
|
| 595 |
+
"loss": 1.7733,
|
| 596 |
+
"step": 49000
|
| 597 |
+
},
|
| 598 |
+
{
|
| 599 |
+
"epoch": 1.41,
|
| 600 |
+
"learning_rate": 3.242237436436465e-05,
|
| 601 |
+
"loss": 1.8068,
|
| 602 |
+
"step": 49500
|
| 603 |
+
},
|
| 604 |
+
{
|
| 605 |
+
"epoch": 1.42,
|
| 606 |
+
"learning_rate": 3.2244822590267324e-05,
|
| 607 |
+
"loss": 1.771,
|
| 608 |
+
"step": 50000
|
| 609 |
+
},
|
| 610 |
+
{
|
| 611 |
+
"epoch": 1.43,
|
| 612 |
+
"learning_rate": 3.2067270816169996e-05,
|
| 613 |
+
"loss": 1.7543,
|
| 614 |
+
"step": 50500
|
| 615 |
+
},
|
| 616 |
+
{
|
| 617 |
+
"epoch": 1.45,
|
| 618 |
+
"learning_rate": 3.188971904207267e-05,
|
| 619 |
+
"loss": 1.757,
|
| 620 |
+
"step": 51000
|
| 621 |
+
},
|
| 622 |
+
{
|
| 623 |
+
"epoch": 1.46,
|
| 624 |
+
"learning_rate": 3.171216726797535e-05,
|
| 625 |
+
"loss": 1.8191,
|
| 626 |
+
"step": 51500
|
| 627 |
+
},
|
| 628 |
+
{
|
| 629 |
+
"epoch": 1.48,
|
| 630 |
+
"learning_rate": 3.153461549387802e-05,
|
| 631 |
+
"loss": 1.7823,
|
| 632 |
+
"step": 52000
|
| 633 |
+
},
|
| 634 |
+
{
|
| 635 |
+
"epoch": 1.49,
|
| 636 |
+
"learning_rate": 3.135706371978069e-05,
|
| 637 |
+
"loss": 1.7887,
|
| 638 |
+
"step": 52500
|
| 639 |
+
},
|
| 640 |
+
{
|
| 641 |
+
"epoch": 1.51,
|
| 642 |
+
"learning_rate": 3.117951194568336e-05,
|
| 643 |
+
"loss": 1.8028,
|
| 644 |
+
"step": 53000
|
| 645 |
+
},
|
| 646 |
+
{
|
| 647 |
+
"epoch": 1.52,
|
| 648 |
+
"learning_rate": 3.1001960171586035e-05,
|
| 649 |
+
"loss": 1.7986,
|
| 650 |
+
"step": 53500
|
| 651 |
+
},
|
| 652 |
+
{
|
| 653 |
+
"epoch": 1.53,
|
| 654 |
+
"learning_rate": 3.082440839748871e-05,
|
| 655 |
+
"loss": 1.8395,
|
| 656 |
+
"step": 54000
|
| 657 |
+
},
|
| 658 |
+
{
|
| 659 |
+
"epoch": 1.55,
|
| 660 |
+
"learning_rate": 3.0646856623391386e-05,
|
| 661 |
+
"loss": 1.7667,
|
| 662 |
+
"step": 54500
|
| 663 |
+
},
|
| 664 |
+
{
|
| 665 |
+
"epoch": 1.56,
|
| 666 |
+
"learning_rate": 3.0469304849294055e-05,
|
| 667 |
+
"loss": 1.7733,
|
| 668 |
+
"step": 55000
|
| 669 |
+
},
|
| 670 |
+
{
|
| 671 |
+
"epoch": 1.58,
|
| 672 |
+
"learning_rate": 3.0291753075196727e-05,
|
| 673 |
+
"loss": 1.8444,
|
| 674 |
+
"step": 55500
|
| 675 |
+
},
|
| 676 |
+
{
|
| 677 |
+
"epoch": 1.59,
|
| 678 |
+
"learning_rate": 3.0114201301099403e-05,
|
| 679 |
+
"loss": 1.7362,
|
| 680 |
+
"step": 56000
|
| 681 |
+
},
|
| 682 |
+
{
|
| 683 |
+
"epoch": 1.61,
|
| 684 |
+
"learning_rate": 2.9936649527002075e-05,
|
| 685 |
+
"loss": 1.783,
|
| 686 |
+
"step": 56500
|
| 687 |
+
},
|
| 688 |
+
{
|
| 689 |
+
"epoch": 1.62,
|
| 690 |
+
"learning_rate": 2.9759097752904747e-05,
|
| 691 |
+
"loss": 1.7838,
|
| 692 |
+
"step": 57000
|
| 693 |
+
},
|
| 694 |
+
{
|
| 695 |
+
"epoch": 1.63,
|
| 696 |
+
"learning_rate": 2.9581545978807422e-05,
|
| 697 |
+
"loss": 1.8201,
|
| 698 |
+
"step": 57500
|
| 699 |
+
},
|
| 700 |
+
{
|
| 701 |
+
"epoch": 1.65,
|
| 702 |
+
"learning_rate": 2.9403994204710095e-05,
|
| 703 |
+
"loss": 1.7784,
|
| 704 |
+
"step": 58000
|
| 705 |
+
},
|
| 706 |
+
{
|
| 707 |
+
"epoch": 1.66,
|
| 708 |
+
"learning_rate": 2.9226442430612767e-05,
|
| 709 |
+
"loss": 1.7708,
|
| 710 |
+
"step": 58500
|
| 711 |
+
},
|
| 712 |
+
{
|
| 713 |
+
"epoch": 1.68,
|
| 714 |
+
"learning_rate": 2.9048890656515442e-05,
|
| 715 |
+
"loss": 1.7986,
|
| 716 |
+
"step": 59000
|
| 717 |
+
},
|
| 718 |
+
{
|
| 719 |
+
"epoch": 1.69,
|
| 720 |
+
"learning_rate": 2.8871338882418114e-05,
|
| 721 |
+
"loss": 1.7504,
|
| 722 |
+
"step": 59500
|
| 723 |
+
},
|
| 724 |
+
{
|
| 725 |
+
"epoch": 1.7,
|
| 726 |
+
"learning_rate": 2.8693787108320786e-05,
|
| 727 |
+
"loss": 1.7938,
|
| 728 |
+
"step": 60000
|
| 729 |
+
},
|
| 730 |
+
{
|
| 731 |
+
"epoch": 1.72,
|
| 732 |
+
"learning_rate": 2.8516235334223462e-05,
|
| 733 |
+
"loss": 1.8189,
|
| 734 |
+
"step": 60500
|
| 735 |
+
},
|
| 736 |
+
{
|
| 737 |
+
"epoch": 1.73,
|
| 738 |
+
"learning_rate": 2.8338683560126134e-05,
|
| 739 |
+
"loss": 1.8234,
|
| 740 |
+
"step": 61000
|
| 741 |
+
},
|
| 742 |
+
{
|
| 743 |
+
"epoch": 1.75,
|
| 744 |
+
"learning_rate": 2.8161131786028806e-05,
|
| 745 |
+
"loss": 1.7313,
|
| 746 |
+
"step": 61500
|
| 747 |
+
},
|
| 748 |
+
{
|
| 749 |
+
"epoch": 1.76,
|
| 750 |
+
"learning_rate": 2.7983580011931482e-05,
|
| 751 |
+
"loss": 1.7483,
|
| 752 |
+
"step": 62000
|
| 753 |
+
},
|
| 754 |
+
{
|
| 755 |
+
"epoch": 1.78,
|
| 756 |
+
"learning_rate": 2.7806028237834154e-05,
|
| 757 |
+
"loss": 1.7735,
|
| 758 |
+
"step": 62500
|
| 759 |
+
},
|
| 760 |
+
{
|
| 761 |
+
"epoch": 1.79,
|
| 762 |
+
"learning_rate": 2.7628476463736823e-05,
|
| 763 |
+
"loss": 1.7133,
|
| 764 |
+
"step": 63000
|
| 765 |
+
},
|
| 766 |
+
{
|
| 767 |
+
"epoch": 1.8,
|
| 768 |
+
"learning_rate": 2.74509246896395e-05,
|
| 769 |
+
"loss": 1.7454,
|
| 770 |
+
"step": 63500
|
| 771 |
+
},
|
| 772 |
+
{
|
| 773 |
+
"epoch": 1.82,
|
| 774 |
+
"learning_rate": 2.7273372915542174e-05,
|
| 775 |
+
"loss": 1.7284,
|
| 776 |
+
"step": 64000
|
| 777 |
+
},
|
| 778 |
+
{
|
| 779 |
+
"epoch": 1.83,
|
| 780 |
+
"learning_rate": 2.709582114144485e-05,
|
| 781 |
+
"loss": 1.7353,
|
| 782 |
+
"step": 64500
|
| 783 |
+
},
|
| 784 |
+
{
|
| 785 |
+
"epoch": 1.85,
|
| 786 |
+
"learning_rate": 2.691826936734752e-05,
|
| 787 |
+
"loss": 1.751,
|
| 788 |
+
"step": 65000
|
| 789 |
+
},
|
| 790 |
+
{
|
| 791 |
+
"epoch": 1.86,
|
| 792 |
+
"learning_rate": 2.6740717593250193e-05,
|
| 793 |
+
"loss": 1.751,
|
| 794 |
+
"step": 65500
|
| 795 |
+
},
|
| 796 |
+
{
|
| 797 |
+
"epoch": 1.87,
|
| 798 |
+
"learning_rate": 2.656316581915287e-05,
|
| 799 |
+
"loss": 1.7628,
|
| 800 |
+
"step": 66000
|
| 801 |
+
},
|
| 802 |
+
{
|
| 803 |
+
"epoch": 1.89,
|
| 804 |
+
"learning_rate": 2.638561404505554e-05,
|
| 805 |
+
"loss": 1.732,
|
| 806 |
+
"step": 66500
|
| 807 |
+
},
|
| 808 |
+
{
|
| 809 |
+
"epoch": 1.9,
|
| 810 |
+
"learning_rate": 2.620806227095821e-05,
|
| 811 |
+
"loss": 1.7149,
|
| 812 |
+
"step": 67000
|
| 813 |
+
},
|
| 814 |
+
{
|
| 815 |
+
"epoch": 1.92,
|
| 816 |
+
"learning_rate": 2.603051049686089e-05,
|
| 817 |
+
"loss": 1.7349,
|
| 818 |
+
"step": 67500
|
| 819 |
+
},
|
| 820 |
+
{
|
| 821 |
+
"epoch": 1.93,
|
| 822 |
+
"learning_rate": 2.585295872276356e-05,
|
| 823 |
+
"loss": 1.7029,
|
| 824 |
+
"step": 68000
|
| 825 |
+
},
|
| 826 |
+
{
|
| 827 |
+
"epoch": 1.95,
|
| 828 |
+
"learning_rate": 2.567540694866623e-05,
|
| 829 |
+
"loss": 1.7073,
|
| 830 |
+
"step": 68500
|
| 831 |
+
},
|
| 832 |
+
{
|
| 833 |
+
"epoch": 1.96,
|
| 834 |
+
"learning_rate": 2.549785517456891e-05,
|
| 835 |
+
"loss": 1.7113,
|
| 836 |
+
"step": 69000
|
| 837 |
+
},
|
| 838 |
+
{
|
| 839 |
+
"epoch": 1.97,
|
| 840 |
+
"learning_rate": 2.5320303400471577e-05,
|
| 841 |
+
"loss": 1.7561,
|
| 842 |
+
"step": 69500
|
| 843 |
+
},
|
| 844 |
+
{
|
| 845 |
+
"epoch": 1.99,
|
| 846 |
+
"learning_rate": 2.514275162637425e-05,
|
| 847 |
+
"loss": 1.707,
|
| 848 |
+
"step": 70000
|
| 849 |
+
},
|
| 850 |
+
{
|
| 851 |
+
"epoch": 2.0,
|
| 852 |
+
"learning_rate": 2.4965199852276925e-05,
|
| 853 |
+
"loss": 1.6343,
|
| 854 |
+
"step": 70500
|
| 855 |
+
},
|
| 856 |
+
{
|
| 857 |
+
"epoch": 2.02,
|
| 858 |
+
"learning_rate": 2.4787648078179597e-05,
|
| 859 |
+
"loss": 1.2461,
|
| 860 |
+
"step": 71000
|
| 861 |
+
},
|
| 862 |
+
{
|
| 863 |
+
"epoch": 2.03,
|
| 864 |
+
"learning_rate": 2.4610096304082273e-05,
|
| 865 |
+
"loss": 1.1708,
|
| 866 |
+
"step": 71500
|
| 867 |
+
},
|
| 868 |
+
{
|
| 869 |
+
"epoch": 2.05,
|
| 870 |
+
"learning_rate": 2.4432544529984945e-05,
|
| 871 |
+
"loss": 1.2014,
|
| 872 |
+
"step": 72000
|
| 873 |
+
},
|
| 874 |
+
{
|
| 875 |
+
"epoch": 2.06,
|
| 876 |
+
"learning_rate": 2.4254992755887617e-05,
|
| 877 |
+
"loss": 1.223,
|
| 878 |
+
"step": 72500
|
| 879 |
+
},
|
| 880 |
+
{
|
| 881 |
+
"epoch": 2.07,
|
| 882 |
+
"learning_rate": 2.4077440981790292e-05,
|
| 883 |
+
"loss": 1.2299,
|
| 884 |
+
"step": 73000
|
| 885 |
+
},
|
| 886 |
+
{
|
| 887 |
+
"epoch": 2.09,
|
| 888 |
+
"learning_rate": 2.3899889207692964e-05,
|
| 889 |
+
"loss": 1.1634,
|
| 890 |
+
"step": 73500
|
| 891 |
+
},
|
| 892 |
+
{
|
| 893 |
+
"epoch": 2.1,
|
| 894 |
+
"learning_rate": 2.3722337433595637e-05,
|
| 895 |
+
"loss": 1.1944,
|
| 896 |
+
"step": 74000
|
| 897 |
+
},
|
| 898 |
+
{
|
| 899 |
+
"epoch": 2.12,
|
| 900 |
+
"learning_rate": 2.3544785659498312e-05,
|
| 901 |
+
"loss": 1.2264,
|
| 902 |
+
"step": 74500
|
| 903 |
+
},
|
| 904 |
+
{
|
| 905 |
+
"epoch": 2.13,
|
| 906 |
+
"learning_rate": 2.3367233885400984e-05,
|
| 907 |
+
"loss": 1.2196,
|
| 908 |
+
"step": 75000
|
| 909 |
+
},
|
| 910 |
+
{
|
| 911 |
+
"epoch": 2.14,
|
| 912 |
+
"learning_rate": 2.3189682111303656e-05,
|
| 913 |
+
"loss": 1.209,
|
| 914 |
+
"step": 75500
|
| 915 |
+
},
|
| 916 |
+
{
|
| 917 |
+
"epoch": 2.16,
|
| 918 |
+
"learning_rate": 2.3012130337206332e-05,
|
| 919 |
+
"loss": 1.1837,
|
| 920 |
+
"step": 76000
|
| 921 |
+
},
|
| 922 |
+
{
|
| 923 |
+
"epoch": 2.17,
|
| 924 |
+
"learning_rate": 2.2834578563109004e-05,
|
| 925 |
+
"loss": 1.1855,
|
| 926 |
+
"step": 76500
|
| 927 |
+
},
|
| 928 |
+
{
|
| 929 |
+
"epoch": 2.19,
|
| 930 |
+
"learning_rate": 2.2657026789011676e-05,
|
| 931 |
+
"loss": 1.236,
|
| 932 |
+
"step": 77000
|
| 933 |
+
},
|
| 934 |
+
{
|
| 935 |
+
"epoch": 2.2,
|
| 936 |
+
"learning_rate": 2.247947501491435e-05,
|
| 937 |
+
"loss": 1.2629,
|
| 938 |
+
"step": 77500
|
| 939 |
+
},
|
| 940 |
+
{
|
| 941 |
+
"epoch": 2.22,
|
| 942 |
+
"learning_rate": 2.2301923240817024e-05,
|
| 943 |
+
"loss": 1.2625,
|
| 944 |
+
"step": 78000
|
| 945 |
+
},
|
| 946 |
+
{
|
| 947 |
+
"epoch": 2.23,
|
| 948 |
+
"learning_rate": 2.2124371466719696e-05,
|
| 949 |
+
"loss": 1.2181,
|
| 950 |
+
"step": 78500
|
| 951 |
+
},
|
| 952 |
+
{
|
| 953 |
+
"epoch": 2.24,
|
| 954 |
+
"learning_rate": 2.1946819692622368e-05,
|
| 955 |
+
"loss": 1.2551,
|
| 956 |
+
"step": 79000
|
| 957 |
+
},
|
| 958 |
+
{
|
| 959 |
+
"epoch": 2.26,
|
| 960 |
+
"learning_rate": 2.1769267918525044e-05,
|
| 961 |
+
"loss": 1.2755,
|
| 962 |
+
"step": 79500
|
| 963 |
+
},
|
| 964 |
+
{
|
| 965 |
+
"epoch": 2.27,
|
| 966 |
+
"learning_rate": 2.1591716144427716e-05,
|
| 967 |
+
"loss": 1.2594,
|
| 968 |
+
"step": 80000
|
| 969 |
+
},
|
| 970 |
+
{
|
| 971 |
+
"epoch": 2.29,
|
| 972 |
+
"learning_rate": 2.1414164370330388e-05,
|
| 973 |
+
"loss": 1.2469,
|
| 974 |
+
"step": 80500
|
| 975 |
+
},
|
| 976 |
+
{
|
| 977 |
+
"epoch": 2.3,
|
| 978 |
+
"learning_rate": 2.1236612596233063e-05,
|
| 979 |
+
"loss": 1.1807,
|
| 980 |
+
"step": 81000
|
| 981 |
+
},
|
| 982 |
+
{
|
| 983 |
+
"epoch": 2.32,
|
| 984 |
+
"learning_rate": 2.105906082213574e-05,
|
| 985 |
+
"loss": 1.2618,
|
| 986 |
+
"step": 81500
|
| 987 |
+
},
|
| 988 |
+
{
|
| 989 |
+
"epoch": 2.33,
|
| 990 |
+
"learning_rate": 2.0881509048038408e-05,
|
| 991 |
+
"loss": 1.2172,
|
| 992 |
+
"step": 82000
|
| 993 |
+
},
|
| 994 |
+
{
|
| 995 |
+
"epoch": 2.34,
|
| 996 |
+
"learning_rate": 2.0703957273941083e-05,
|
| 997 |
+
"loss": 1.2428,
|
| 998 |
+
"step": 82500
|
| 999 |
+
},
|
| 1000 |
+
{
|
| 1001 |
+
"epoch": 2.36,
|
| 1002 |
+
"learning_rate": 2.0526405499843755e-05,
|
| 1003 |
+
"loss": 1.2209,
|
| 1004 |
+
"step": 83000
|
| 1005 |
+
},
|
| 1006 |
+
{
|
| 1007 |
+
"epoch": 2.37,
|
| 1008 |
+
"learning_rate": 2.0348853725746427e-05,
|
| 1009 |
+
"loss": 1.2078,
|
| 1010 |
+
"step": 83500
|
| 1011 |
+
},
|
| 1012 |
+
{
|
| 1013 |
+
"epoch": 2.39,
|
| 1014 |
+
"learning_rate": 2.0171301951649103e-05,
|
| 1015 |
+
"loss": 1.23,
|
| 1016 |
+
"step": 84000
|
| 1017 |
+
},
|
| 1018 |
+
{
|
| 1019 |
+
"epoch": 2.4,
|
| 1020 |
+
"learning_rate": 1.9993750177551775e-05,
|
| 1021 |
+
"loss": 1.2381,
|
| 1022 |
+
"step": 84500
|
| 1023 |
+
},
|
| 1024 |
+
{
|
| 1025 |
+
"epoch": 2.41,
|
| 1026 |
+
"learning_rate": 1.9816198403454447e-05,
|
| 1027 |
+
"loss": 1.224,
|
| 1028 |
+
"step": 85000
|
| 1029 |
+
},
|
| 1030 |
+
{
|
| 1031 |
+
"epoch": 2.43,
|
| 1032 |
+
"learning_rate": 1.9638646629357123e-05,
|
| 1033 |
+
"loss": 1.2287,
|
| 1034 |
+
"step": 85500
|
| 1035 |
+
},
|
| 1036 |
+
{
|
| 1037 |
+
"epoch": 2.44,
|
| 1038 |
+
"learning_rate": 1.9461094855259795e-05,
|
| 1039 |
+
"loss": 1.1941,
|
| 1040 |
+
"step": 86000
|
| 1041 |
+
},
|
| 1042 |
+
{
|
| 1043 |
+
"epoch": 2.46,
|
| 1044 |
+
"learning_rate": 1.9283543081162467e-05,
|
| 1045 |
+
"loss": 1.222,
|
| 1046 |
+
"step": 86500
|
| 1047 |
+
},
|
| 1048 |
+
{
|
| 1049 |
+
"epoch": 2.47,
|
| 1050 |
+
"learning_rate": 1.9105991307065142e-05,
|
| 1051 |
+
"loss": 1.2172,
|
| 1052 |
+
"step": 87000
|
| 1053 |
+
},
|
| 1054 |
+
{
|
| 1055 |
+
"epoch": 2.49,
|
| 1056 |
+
"learning_rate": 1.8928439532967814e-05,
|
| 1057 |
+
"loss": 1.2138,
|
| 1058 |
+
"step": 87500
|
| 1059 |
+
},
|
| 1060 |
+
{
|
| 1061 |
+
"epoch": 2.5,
|
| 1062 |
+
"learning_rate": 1.8750887758870487e-05,
|
| 1063 |
+
"loss": 1.229,
|
| 1064 |
+
"step": 88000
|
| 1065 |
+
},
|
| 1066 |
+
{
|
| 1067 |
+
"epoch": 2.51,
|
| 1068 |
+
"learning_rate": 1.857333598477316e-05,
|
| 1069 |
+
"loss": 1.2155,
|
| 1070 |
+
"step": 88500
|
| 1071 |
+
},
|
| 1072 |
+
{
|
| 1073 |
+
"epoch": 2.53,
|
| 1074 |
+
"learning_rate": 1.8395784210675834e-05,
|
| 1075 |
+
"loss": 1.1969,
|
| 1076 |
+
"step": 89000
|
| 1077 |
+
},
|
| 1078 |
+
{
|
| 1079 |
+
"epoch": 2.54,
|
| 1080 |
+
"learning_rate": 1.821823243657851e-05,
|
| 1081 |
+
"loss": 1.1926,
|
| 1082 |
+
"step": 89500
|
| 1083 |
+
},
|
| 1084 |
+
{
|
| 1085 |
+
"epoch": 2.56,
|
| 1086 |
+
"learning_rate": 1.804068066248118e-05,
|
| 1087 |
+
"loss": 1.2056,
|
| 1088 |
+
"step": 90000
|
| 1089 |
+
},
|
| 1090 |
+
{
|
| 1091 |
+
"epoch": 2.57,
|
| 1092 |
+
"learning_rate": 1.7863128888383854e-05,
|
| 1093 |
+
"loss": 1.1989,
|
| 1094 |
+
"step": 90500
|
| 1095 |
+
},
|
| 1096 |
+
{
|
| 1097 |
+
"epoch": 2.59,
|
| 1098 |
+
"learning_rate": 1.7685577114286526e-05,
|
| 1099 |
+
"loss": 1.2367,
|
| 1100 |
+
"step": 91000
|
| 1101 |
+
},
|
| 1102 |
+
{
|
| 1103 |
+
"epoch": 2.6,
|
| 1104 |
+
"learning_rate": 1.7508025340189198e-05,
|
| 1105 |
+
"loss": 1.2222,
|
| 1106 |
+
"step": 91500
|
| 1107 |
+
},
|
| 1108 |
+
{
|
| 1109 |
+
"epoch": 2.61,
|
| 1110 |
+
"learning_rate": 1.7330473566091874e-05,
|
| 1111 |
+
"loss": 1.161,
|
| 1112 |
+
"step": 92000
|
| 1113 |
+
},
|
| 1114 |
+
{
|
| 1115 |
+
"epoch": 2.63,
|
| 1116 |
+
"learning_rate": 1.7152921791994546e-05,
|
| 1117 |
+
"loss": 1.2405,
|
| 1118 |
+
"step": 92500
|
| 1119 |
+
},
|
| 1120 |
+
{
|
| 1121 |
+
"epoch": 2.64,
|
| 1122 |
+
"learning_rate": 1.6975370017897218e-05,
|
| 1123 |
+
"loss": 1.2184,
|
| 1124 |
+
"step": 93000
|
| 1125 |
+
},
|
| 1126 |
+
{
|
| 1127 |
+
"epoch": 2.66,
|
| 1128 |
+
"learning_rate": 1.6797818243799894e-05,
|
| 1129 |
+
"loss": 1.2103,
|
| 1130 |
+
"step": 93500
|
| 1131 |
+
},
|
| 1132 |
+
{
|
| 1133 |
+
"epoch": 2.67,
|
| 1134 |
+
"learning_rate": 1.6620266469702566e-05,
|
| 1135 |
+
"loss": 1.2416,
|
| 1136 |
+
"step": 94000
|
| 1137 |
+
},
|
| 1138 |
+
{
|
| 1139 |
+
"epoch": 2.68,
|
| 1140 |
+
"learning_rate": 1.6442714695605238e-05,
|
| 1141 |
+
"loss": 1.2149,
|
| 1142 |
+
"step": 94500
|
| 1143 |
+
},
|
| 1144 |
+
{
|
| 1145 |
+
"epoch": 2.7,
|
| 1146 |
+
"learning_rate": 1.6265162921507913e-05,
|
| 1147 |
+
"loss": 1.1707,
|
| 1148 |
+
"step": 95000
|
| 1149 |
+
},
|
| 1150 |
+
{
|
| 1151 |
+
"epoch": 2.71,
|
| 1152 |
+
"learning_rate": 1.6087611147410585e-05,
|
| 1153 |
+
"loss": 1.2351,
|
| 1154 |
+
"step": 95500
|
| 1155 |
+
},
|
| 1156 |
+
{
|
| 1157 |
+
"epoch": 2.73,
|
| 1158 |
+
"learning_rate": 1.591005937331326e-05,
|
| 1159 |
+
"loss": 1.2179,
|
| 1160 |
+
"step": 96000
|
| 1161 |
+
},
|
| 1162 |
+
{
|
| 1163 |
+
"epoch": 2.74,
|
| 1164 |
+
"learning_rate": 1.5732507599215933e-05,
|
| 1165 |
+
"loss": 1.201,
|
| 1166 |
+
"step": 96500
|
| 1167 |
+
},
|
| 1168 |
+
{
|
| 1169 |
+
"epoch": 2.76,
|
| 1170 |
+
"learning_rate": 1.5554955825118605e-05,
|
| 1171 |
+
"loss": 1.2169,
|
| 1172 |
+
"step": 97000
|
| 1173 |
+
},
|
| 1174 |
+
{
|
| 1175 |
+
"epoch": 2.77,
|
| 1176 |
+
"learning_rate": 1.537740405102128e-05,
|
| 1177 |
+
"loss": 1.1485,
|
| 1178 |
+
"step": 97500
|
| 1179 |
+
},
|
| 1180 |
+
{
|
| 1181 |
+
"epoch": 2.78,
|
| 1182 |
+
"learning_rate": 1.5199852276923951e-05,
|
| 1183 |
+
"loss": 1.166,
|
| 1184 |
+
"step": 98000
|
| 1185 |
+
},
|
| 1186 |
+
{
|
| 1187 |
+
"epoch": 2.8,
|
| 1188 |
+
"learning_rate": 1.5022300502826625e-05,
|
| 1189 |
+
"loss": 1.1665,
|
| 1190 |
+
"step": 98500
|
| 1191 |
+
},
|
| 1192 |
+
{
|
| 1193 |
+
"epoch": 2.81,
|
| 1194 |
+
"learning_rate": 1.4844748728729299e-05,
|
| 1195 |
+
"loss": 1.184,
|
| 1196 |
+
"step": 99000
|
| 1197 |
+
},
|
| 1198 |
+
{
|
| 1199 |
+
"epoch": 2.83,
|
| 1200 |
+
"learning_rate": 1.4667196954631971e-05,
|
| 1201 |
+
"loss": 1.2234,
|
| 1202 |
+
"step": 99500
|
| 1203 |
+
},
|
| 1204 |
+
{
|
| 1205 |
+
"epoch": 2.84,
|
| 1206 |
+
"learning_rate": 1.4489645180534645e-05,
|
| 1207 |
+
"loss": 1.1631,
|
| 1208 |
+
"step": 100000
|
| 1209 |
+
},
|
| 1210 |
+
{
|
| 1211 |
+
"epoch": 2.86,
|
| 1212 |
+
"learning_rate": 1.4312093406437319e-05,
|
| 1213 |
+
"loss": 1.1708,
|
| 1214 |
+
"step": 100500
|
| 1215 |
+
},
|
| 1216 |
+
{
|
| 1217 |
+
"epoch": 2.87,
|
| 1218 |
+
"learning_rate": 1.4134541632339989e-05,
|
| 1219 |
+
"loss": 1.1783,
|
| 1220 |
+
"step": 101000
|
| 1221 |
+
},
|
| 1222 |
+
{
|
| 1223 |
+
"epoch": 2.88,
|
| 1224 |
+
"learning_rate": 1.3956989858242665e-05,
|
| 1225 |
+
"loss": 1.2218,
|
| 1226 |
+
"step": 101500
|
| 1227 |
+
},
|
| 1228 |
+
{
|
| 1229 |
+
"epoch": 2.9,
|
| 1230 |
+
"learning_rate": 1.3779438084145338e-05,
|
| 1231 |
+
"loss": 1.1166,
|
| 1232 |
+
"step": 102000
|
| 1233 |
+
},
|
| 1234 |
+
{
|
| 1235 |
+
"epoch": 2.91,
|
| 1236 |
+
"learning_rate": 1.3601886310048009e-05,
|
| 1237 |
+
"loss": 1.1316,
|
| 1238 |
+
"step": 102500
|
| 1239 |
+
},
|
| 1240 |
+
{
|
| 1241 |
+
"epoch": 2.93,
|
| 1242 |
+
"learning_rate": 1.3424334535950683e-05,
|
| 1243 |
+
"loss": 1.1974,
|
| 1244 |
+
"step": 103000
|
| 1245 |
+
},
|
| 1246 |
+
{
|
| 1247 |
+
"epoch": 2.94,
|
| 1248 |
+
"learning_rate": 1.3246782761853358e-05,
|
| 1249 |
+
"loss": 1.2132,
|
| 1250 |
+
"step": 103500
|
| 1251 |
+
},
|
| 1252 |
+
{
|
| 1253 |
+
"epoch": 2.95,
|
| 1254 |
+
"learning_rate": 1.3069230987756032e-05,
|
| 1255 |
+
"loss": 1.1827,
|
| 1256 |
+
"step": 104000
|
| 1257 |
+
},
|
| 1258 |
+
{
|
| 1259 |
+
"epoch": 2.97,
|
| 1260 |
+
"learning_rate": 1.2891679213658702e-05,
|
| 1261 |
+
"loss": 1.221,
|
| 1262 |
+
"step": 104500
|
| 1263 |
+
},
|
| 1264 |
+
{
|
| 1265 |
+
"epoch": 2.98,
|
| 1266 |
+
"learning_rate": 1.2714127439561376e-05,
|
| 1267 |
+
"loss": 1.1951,
|
| 1268 |
+
"step": 105000
|
| 1269 |
+
},
|
| 1270 |
+
{
|
| 1271 |
+
"epoch": 3.0,
|
| 1272 |
+
"learning_rate": 1.2536575665464052e-05,
|
| 1273 |
+
"loss": 1.1593,
|
| 1274 |
+
"step": 105500
|
| 1275 |
+
},
|
| 1276 |
+
{
|
| 1277 |
+
"epoch": 3.01,
|
| 1278 |
+
"learning_rate": 1.2359023891366724e-05,
|
| 1279 |
+
"loss": 0.8358,
|
| 1280 |
+
"step": 106000
|
| 1281 |
+
},
|
| 1282 |
+
{
|
| 1283 |
+
"epoch": 3.03,
|
| 1284 |
+
"learning_rate": 1.2181472117269396e-05,
|
| 1285 |
+
"loss": 0.7614,
|
| 1286 |
+
"step": 106500
|
| 1287 |
+
},
|
| 1288 |
+
{
|
| 1289 |
+
"epoch": 3.04,
|
| 1290 |
+
"learning_rate": 1.2003920343172068e-05,
|
| 1291 |
+
"loss": 0.7304,
|
| 1292 |
+
"step": 107000
|
| 1293 |
+
},
|
| 1294 |
+
{
|
| 1295 |
+
"epoch": 3.05,
|
| 1296 |
+
"learning_rate": 1.1826368569074744e-05,
|
| 1297 |
+
"loss": 0.7472,
|
| 1298 |
+
"step": 107500
|
| 1299 |
+
},
|
| 1300 |
+
{
|
| 1301 |
+
"epoch": 3.07,
|
| 1302 |
+
"learning_rate": 1.1648816794977416e-05,
|
| 1303 |
+
"loss": 0.7296,
|
| 1304 |
+
"step": 108000
|
| 1305 |
+
},
|
| 1306 |
+
{
|
| 1307 |
+
"epoch": 3.08,
|
| 1308 |
+
"learning_rate": 1.147126502088009e-05,
|
| 1309 |
+
"loss": 0.7666,
|
| 1310 |
+
"step": 108500
|
| 1311 |
+
},
|
| 1312 |
+
{
|
| 1313 |
+
"epoch": 3.1,
|
| 1314 |
+
"learning_rate": 1.1293713246782762e-05,
|
| 1315 |
+
"loss": 0.7406,
|
| 1316 |
+
"step": 109000
|
| 1317 |
+
},
|
| 1318 |
+
{
|
| 1319 |
+
"epoch": 3.11,
|
| 1320 |
+
"learning_rate": 1.1116161472685436e-05,
|
| 1321 |
+
"loss": 0.7183,
|
| 1322 |
+
"step": 109500
|
| 1323 |
+
},
|
| 1324 |
+
{
|
| 1325 |
+
"epoch": 3.12,
|
| 1326 |
+
"learning_rate": 1.093860969858811e-05,
|
| 1327 |
+
"loss": 0.7044,
|
| 1328 |
+
"step": 110000
|
| 1329 |
+
},
|
| 1330 |
+
{
|
| 1331 |
+
"epoch": 3.14,
|
| 1332 |
+
"learning_rate": 1.0761057924490782e-05,
|
| 1333 |
+
"loss": 0.7215,
|
| 1334 |
+
"step": 110500
|
| 1335 |
+
},
|
| 1336 |
+
{
|
| 1337 |
+
"epoch": 3.15,
|
| 1338 |
+
"learning_rate": 1.0583506150393455e-05,
|
| 1339 |
+
"loss": 0.6939,
|
| 1340 |
+
"step": 111000
|
| 1341 |
+
},
|
| 1342 |
+
{
|
| 1343 |
+
"epoch": 3.17,
|
| 1344 |
+
"learning_rate": 1.0405954376296129e-05,
|
| 1345 |
+
"loss": 0.7412,
|
| 1346 |
+
"step": 111500
|
| 1347 |
+
},
|
| 1348 |
+
{
|
| 1349 |
+
"epoch": 3.18,
|
| 1350 |
+
"learning_rate": 1.0228402602198801e-05,
|
| 1351 |
+
"loss": 0.7525,
|
| 1352 |
+
"step": 112000
|
| 1353 |
+
},
|
| 1354 |
+
{
|
| 1355 |
+
"epoch": 3.2,
|
| 1356 |
+
"learning_rate": 1.0050850828101475e-05,
|
| 1357 |
+
"loss": 0.7109,
|
| 1358 |
+
"step": 112500
|
| 1359 |
+
},
|
| 1360 |
+
{
|
| 1361 |
+
"epoch": 3.21,
|
| 1362 |
+
"learning_rate": 9.873299054004149e-06,
|
| 1363 |
+
"loss": 0.7163,
|
| 1364 |
+
"step": 113000
|
| 1365 |
+
},
|
| 1366 |
+
{
|
| 1367 |
+
"epoch": 3.22,
|
| 1368 |
+
"learning_rate": 9.695747279906821e-06,
|
| 1369 |
+
"loss": 0.7131,
|
| 1370 |
+
"step": 113500
|
| 1371 |
+
},
|
| 1372 |
+
{
|
| 1373 |
+
"epoch": 3.24,
|
| 1374 |
+
"learning_rate": 9.518195505809495e-06,
|
| 1375 |
+
"loss": 0.7461,
|
| 1376 |
+
"step": 114000
|
| 1377 |
+
},
|
| 1378 |
+
{
|
| 1379 |
+
"epoch": 3.25,
|
| 1380 |
+
"learning_rate": 9.340643731712167e-06,
|
| 1381 |
+
"loss": 0.6805,
|
| 1382 |
+
"step": 114500
|
| 1383 |
+
},
|
| 1384 |
+
{
|
| 1385 |
+
"epoch": 3.27,
|
| 1386 |
+
"learning_rate": 9.16309195761484e-06,
|
| 1387 |
+
"loss": 0.7688,
|
| 1388 |
+
"step": 115000
|
| 1389 |
+
},
|
| 1390 |
+
{
|
| 1391 |
+
"epoch": 3.28,
|
| 1392 |
+
"learning_rate": 8.985540183517515e-06,
|
| 1393 |
+
"loss": 0.7359,
|
| 1394 |
+
"step": 115500
|
| 1395 |
+
},
|
| 1396 |
+
{
|
| 1397 |
+
"epoch": 3.3,
|
| 1398 |
+
"learning_rate": 8.807988409420187e-06,
|
| 1399 |
+
"loss": 0.7284,
|
| 1400 |
+
"step": 116000
|
| 1401 |
+
},
|
| 1402 |
+
{
|
| 1403 |
+
"epoch": 3.31,
|
| 1404 |
+
"learning_rate": 8.63043663532286e-06,
|
| 1405 |
+
"loss": 0.6892,
|
| 1406 |
+
"step": 116500
|
| 1407 |
+
},
|
| 1408 |
+
{
|
| 1409 |
+
"epoch": 3.32,
|
| 1410 |
+
"learning_rate": 8.452884861225534e-06,
|
| 1411 |
+
"loss": 0.6987,
|
| 1412 |
+
"step": 117000
|
| 1413 |
+
},
|
| 1414 |
+
{
|
| 1415 |
+
"epoch": 3.34,
|
| 1416 |
+
"learning_rate": 8.275333087128207e-06,
|
| 1417 |
+
"loss": 0.7161,
|
| 1418 |
+
"step": 117500
|
| 1419 |
+
},
|
| 1420 |
+
{
|
| 1421 |
+
"epoch": 3.35,
|
| 1422 |
+
"learning_rate": 8.09778131303088e-06,
|
| 1423 |
+
"loss": 0.7185,
|
| 1424 |
+
"step": 118000
|
| 1425 |
+
},
|
| 1426 |
+
{
|
| 1427 |
+
"epoch": 3.37,
|
| 1428 |
+
"learning_rate": 7.920229538933552e-06,
|
| 1429 |
+
"loss": 0.7227,
|
| 1430 |
+
"step": 118500
|
| 1431 |
+
},
|
| 1432 |
+
{
|
| 1433 |
+
"epoch": 3.38,
|
| 1434 |
+
"learning_rate": 7.742677764836228e-06,
|
| 1435 |
+
"loss": 0.6908,
|
| 1436 |
+
"step": 119000
|
| 1437 |
+
},
|
| 1438 |
+
{
|
| 1439 |
+
"epoch": 3.39,
|
| 1440 |
+
"learning_rate": 7.5651259907389e-06,
|
| 1441 |
+
"loss": 0.7278,
|
| 1442 |
+
"step": 119500
|
| 1443 |
+
},
|
| 1444 |
+
{
|
| 1445 |
+
"epoch": 3.41,
|
| 1446 |
+
"learning_rate": 7.387574216641572e-06,
|
| 1447 |
+
"loss": 0.7548,
|
| 1448 |
+
"step": 120000
|
| 1449 |
+
},
|
| 1450 |
+
{
|
| 1451 |
+
"epoch": 3.42,
|
| 1452 |
+
"learning_rate": 7.210022442544247e-06,
|
| 1453 |
+
"loss": 0.7345,
|
| 1454 |
+
"step": 120500
|
| 1455 |
+
},
|
| 1456 |
+
{
|
| 1457 |
+
"epoch": 3.44,
|
| 1458 |
+
"learning_rate": 7.032470668446919e-06,
|
| 1459 |
+
"loss": 0.6865,
|
| 1460 |
+
"step": 121000
|
| 1461 |
+
},
|
| 1462 |
+
{
|
| 1463 |
+
"epoch": 3.45,
|
| 1464 |
+
"learning_rate": 6.854918894349592e-06,
|
| 1465 |
+
"loss": 0.7485,
|
| 1466 |
+
"step": 121500
|
| 1467 |
+
},
|
| 1468 |
+
{
|
| 1469 |
+
"epoch": 3.47,
|
| 1470 |
+
"learning_rate": 6.677367120252266e-06,
|
| 1471 |
+
"loss": 0.7195,
|
| 1472 |
+
"step": 122000
|
| 1473 |
+
},
|
| 1474 |
+
{
|
| 1475 |
+
"epoch": 3.48,
|
| 1476 |
+
"learning_rate": 6.499815346154939e-06,
|
| 1477 |
+
"loss": 0.7444,
|
| 1478 |
+
"step": 122500
|
| 1479 |
+
},
|
| 1480 |
+
{
|
| 1481 |
+
"epoch": 3.49,
|
| 1482 |
+
"learning_rate": 6.322263572057613e-06,
|
| 1483 |
+
"loss": 0.736,
|
| 1484 |
+
"step": 123000
|
| 1485 |
+
},
|
| 1486 |
+
{
|
| 1487 |
+
"epoch": 3.51,
|
| 1488 |
+
"learning_rate": 6.144711797960286e-06,
|
| 1489 |
+
"loss": 0.7284,
|
| 1490 |
+
"step": 123500
|
| 1491 |
+
},
|
| 1492 |
+
{
|
| 1493 |
+
"epoch": 3.52,
|
| 1494 |
+
"learning_rate": 5.967160023862959e-06,
|
| 1495 |
+
"loss": 0.7029,
|
| 1496 |
+
"step": 124000
|
| 1497 |
+
},
|
| 1498 |
+
{
|
| 1499 |
+
"epoch": 3.54,
|
| 1500 |
+
"learning_rate": 5.7896082497656316e-06,
|
| 1501 |
+
"loss": 0.7262,
|
| 1502 |
+
"step": 124500
|
| 1503 |
+
},
|
| 1504 |
+
{
|
| 1505 |
+
"epoch": 3.55,
|
| 1506 |
+
"learning_rate": 5.612056475668305e-06,
|
| 1507 |
+
"loss": 0.7153,
|
| 1508 |
+
"step": 125000
|
| 1509 |
+
},
|
| 1510 |
+
{
|
| 1511 |
+
"epoch": 3.57,
|
| 1512 |
+
"learning_rate": 5.434504701570978e-06,
|
| 1513 |
+
"loss": 0.7528,
|
| 1514 |
+
"step": 125500
|
| 1515 |
+
},
|
| 1516 |
+
{
|
| 1517 |
+
"epoch": 3.58,
|
| 1518 |
+
"learning_rate": 5.256952927473651e-06,
|
| 1519 |
+
"loss": 0.7051,
|
| 1520 |
+
"step": 126000
|
| 1521 |
+
},
|
| 1522 |
+
{
|
| 1523 |
+
"epoch": 3.59,
|
| 1524 |
+
"learning_rate": 5.079401153376324e-06,
|
| 1525 |
+
"loss": 0.7278,
|
| 1526 |
+
"step": 126500
|
| 1527 |
+
},
|
| 1528 |
+
{
|
| 1529 |
+
"epoch": 3.61,
|
| 1530 |
+
"learning_rate": 4.901849379278998e-06,
|
| 1531 |
+
"loss": 0.7206,
|
| 1532 |
+
"step": 127000
|
| 1533 |
+
},
|
| 1534 |
+
{
|
| 1535 |
+
"epoch": 3.62,
|
| 1536 |
+
"learning_rate": 4.724297605181671e-06,
|
| 1537 |
+
"loss": 0.7086,
|
| 1538 |
+
"step": 127500
|
| 1539 |
+
},
|
| 1540 |
+
{
|
| 1541 |
+
"epoch": 3.64,
|
| 1542 |
+
"learning_rate": 4.546745831084345e-06,
|
| 1543 |
+
"loss": 0.7092,
|
| 1544 |
+
"step": 128000
|
| 1545 |
+
},
|
| 1546 |
+
{
|
| 1547 |
+
"epoch": 3.65,
|
| 1548 |
+
"learning_rate": 4.369194056987018e-06,
|
| 1549 |
+
"loss": 0.7109,
|
| 1550 |
+
"step": 128500
|
| 1551 |
+
},
|
| 1552 |
+
{
|
| 1553 |
+
"epoch": 3.66,
|
| 1554 |
+
"learning_rate": 4.191642282889691e-06,
|
| 1555 |
+
"loss": 0.7321,
|
| 1556 |
+
"step": 129000
|
| 1557 |
+
},
|
| 1558 |
+
{
|
| 1559 |
+
"epoch": 3.68,
|
| 1560 |
+
"learning_rate": 4.014090508792364e-06,
|
| 1561 |
+
"loss": 0.7008,
|
| 1562 |
+
"step": 129500
|
| 1563 |
+
},
|
| 1564 |
+
{
|
| 1565 |
+
"epoch": 3.69,
|
| 1566 |
+
"learning_rate": 3.836538734695038e-06,
|
| 1567 |
+
"loss": 0.6671,
|
| 1568 |
+
"step": 130000
|
| 1569 |
+
},
|
| 1570 |
+
{
|
| 1571 |
+
"epoch": 3.71,
|
| 1572 |
+
"learning_rate": 3.6589869605977107e-06,
|
| 1573 |
+
"loss": 0.7047,
|
| 1574 |
+
"step": 130500
|
| 1575 |
+
},
|
| 1576 |
+
{
|
| 1577 |
+
"epoch": 3.72,
|
| 1578 |
+
"learning_rate": 3.4814351865003836e-06,
|
| 1579 |
+
"loss": 0.7033,
|
| 1580 |
+
"step": 131000
|
| 1581 |
+
},
|
| 1582 |
+
{
|
| 1583 |
+
"epoch": 3.74,
|
| 1584 |
+
"learning_rate": 3.303883412403057e-06,
|
| 1585 |
+
"loss": 0.7384,
|
| 1586 |
+
"step": 131500
|
| 1587 |
+
},
|
| 1588 |
+
{
|
| 1589 |
+
"epoch": 3.75,
|
| 1590 |
+
"learning_rate": 3.12633163830573e-06,
|
| 1591 |
+
"loss": 0.7303,
|
| 1592 |
+
"step": 132000
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"epoch": 3.76,
|
| 1596 |
+
"learning_rate": 2.9487798642084034e-06,
|
| 1597 |
+
"loss": 0.7056,
|
| 1598 |
+
"step": 132500
|
| 1599 |
+
},
|
| 1600 |
+
{
|
| 1601 |
+
"epoch": 3.78,
|
| 1602 |
+
"learning_rate": 2.771228090111077e-06,
|
| 1603 |
+
"loss": 0.7186,
|
| 1604 |
+
"step": 133000
|
| 1605 |
+
},
|
| 1606 |
+
{
|
| 1607 |
+
"epoch": 3.79,
|
| 1608 |
+
"learning_rate": 2.5936763160137498e-06,
|
| 1609 |
+
"loss": 0.7086,
|
| 1610 |
+
"step": 133500
|
| 1611 |
+
},
|
| 1612 |
+
{
|
| 1613 |
+
"epoch": 3.81,
|
| 1614 |
+
"learning_rate": 2.416124541916423e-06,
|
| 1615 |
+
"loss": 0.7213,
|
| 1616 |
+
"step": 134000
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"epoch": 3.82,
|
| 1620 |
+
"learning_rate": 2.238572767819096e-06,
|
| 1621 |
+
"loss": 0.6589,
|
| 1622 |
+
"step": 134500
|
| 1623 |
+
},
|
| 1624 |
+
{
|
| 1625 |
+
"epoch": 3.84,
|
| 1626 |
+
"learning_rate": 2.0610209937217696e-06,
|
| 1627 |
+
"loss": 0.7237,
|
| 1628 |
+
"step": 135000
|
| 1629 |
+
},
|
| 1630 |
+
{
|
| 1631 |
+
"epoch": 3.85,
|
| 1632 |
+
"learning_rate": 1.8834692196244425e-06,
|
| 1633 |
+
"loss": 0.711,
|
| 1634 |
+
"step": 135500
|
| 1635 |
+
},
|
| 1636 |
+
{
|
| 1637 |
+
"epoch": 3.86,
|
| 1638 |
+
"learning_rate": 1.705917445527116e-06,
|
| 1639 |
+
"loss": 0.7029,
|
| 1640 |
+
"step": 136000
|
| 1641 |
+
},
|
| 1642 |
+
{
|
| 1643 |
+
"epoch": 3.88,
|
| 1644 |
+
"learning_rate": 1.5283656714297891e-06,
|
| 1645 |
+
"loss": 0.7168,
|
| 1646 |
+
"step": 136500
|
| 1647 |
+
},
|
| 1648 |
+
{
|
| 1649 |
+
"epoch": 3.89,
|
| 1650 |
+
"learning_rate": 1.3508138973324623e-06,
|
| 1651 |
+
"loss": 0.6644,
|
| 1652 |
+
"step": 137000
|
| 1653 |
+
},
|
| 1654 |
+
{
|
| 1655 |
+
"epoch": 3.91,
|
| 1656 |
+
"learning_rate": 1.1732621232351355e-06,
|
| 1657 |
+
"loss": 0.6715,
|
| 1658 |
+
"step": 137500
|
| 1659 |
+
},
|
| 1660 |
+
{
|
| 1661 |
+
"epoch": 3.92,
|
| 1662 |
+
"learning_rate": 9.957103491378087e-07,
|
| 1663 |
+
"loss": 0.6871,
|
| 1664 |
+
"step": 138000
|
| 1665 |
+
},
|
| 1666 |
+
{
|
| 1667 |
+
"epoch": 3.93,
|
| 1668 |
+
"learning_rate": 8.181585750404819e-07,
|
| 1669 |
+
"loss": 0.6982,
|
| 1670 |
+
"step": 138500
|
| 1671 |
+
},
|
| 1672 |
+
{
|
| 1673 |
+
"epoch": 3.95,
|
| 1674 |
+
"learning_rate": 6.40606800943155e-07,
|
| 1675 |
+
"loss": 0.6891,
|
| 1676 |
+
"step": 139000
|
| 1677 |
+
},
|
| 1678 |
+
{
|
| 1679 |
+
"epoch": 3.96,
|
| 1680 |
+
"learning_rate": 4.6305502684582823e-07,
|
| 1681 |
+
"loss": 0.6792,
|
| 1682 |
+
"step": 139500
|
| 1683 |
+
},
|
| 1684 |
+
{
|
| 1685 |
+
"epoch": 3.98,
|
| 1686 |
+
"learning_rate": 2.855032527485015e-07,
|
| 1687 |
+
"loss": 0.7221,
|
| 1688 |
+
"step": 140000
|
| 1689 |
+
},
|
| 1690 |
+
{
|
| 1691 |
+
"epoch": 3.99,
|
| 1692 |
+
"learning_rate": 1.0795147865117468e-07,
|
| 1693 |
+
"loss": 0.7181,
|
| 1694 |
+
"step": 140500
|
| 1695 |
+
},
|
| 1696 |
+
{
|
| 1697 |
+
"epoch": 4.0,
|
| 1698 |
+
"step": 140804,
|
| 1699 |
+
"total_flos": 8.66406121808855e+16,
|
| 1700 |
+
"train_loss": 1.5602563560180023,
|
| 1701 |
+
"train_runtime": 41389.8114,
|
| 1702 |
+
"train_samples_per_second": 3.402,
|
| 1703 |
+
"train_steps_per_second": 3.402
|
| 1704 |
+
}
|
| 1705 |
+
],
|
| 1706 |
+
"max_steps": 140804,
|
| 1707 |
+
"num_train_epochs": 4,
|
| 1708 |
+
"total_flos": 8.66406121808855e+16,
|
| 1709 |
+
"trial_name": null,
|
| 1710 |
+
"trial_params": null
|
| 1711 |
+
}
|
training_args.bin
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:eadb00240214e0e29aee093b60627c1c1d971b3c932b3046b5425f7918785f13
|
| 3 |
+
size 3119
|