Hugging Face's logo

akozlo
/
conserv_fulltext_1_18_22

Text Generation
Transformers
PyTorch
gpt2
Generated from Trainer
text-generation-inference
Inference Endpoints
Model card Files Community
akozlo commited on
Commit
3ee91e7
•
1 Parent(s): 26e203e

Update from akozlo

Browse files
Files changed (12) hide show
  1. README.md +55 -0
  2. all_results.json +8 -0
  3. config.json +39 -0
  4. merges.txt +0 -0
  5. pytorch_model.bin +3 -0
  6. special_tokens_map.json +1 -0
  7. tokenizer.json +0 -0
  8. tokenizer_config.json +1 -0
  9. train_results.json +8 -0
  10. trainer_state.json +3535 -0
  11. training_args.bin +3 -0
  12. vocab.json +0 -0
README.md ADDED
@@ -0,0 +1,55 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: mit
3
+ tags:
4
+ - generated_from_trainer
5
+ model-index:
6
+ - name: conserv_fulltext_model
7
+ results: []
8
+ ---
9
+
10
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
11
+ should probably proofread and complete it, then remove this comment. -->
12
+
13
+ # conserv_fulltext_model
14
+
15
+ This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
16
+
17
+ ## Model description
18
+
19
+ More information needed
20
+
21
+ ## Intended uses & limitations
22
+
23
+ More information needed
24
+
25
+ ## Training and evaluation data
26
+
27
+ More information needed
28
+
29
+ ## Training procedure
30
+
31
+ ### Training hyperparameters
32
+
33
+ The following hyperparameters were used during training:
34
+ - learning_rate: 5e-05
35
+ - train_batch_size: 2
36
+ - eval_batch_size: 8
37
+ - seed: 42
38
+ - gradient_accumulation_steps: 4
39
+ - total_train_batch_size: 8
40
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
41
+ - lr_scheduler_type: linear
42
+ - num_epochs: 3.0
43
+ - mixed_precision_training: Native AMP
44
+
45
+ ### Training results
46
+
47
+
48
+
49
+ ### Framework versions
50
+
51
+ - Transformers 4.15.0
52
+ - Pytorch 1.10.1+cu102
53
+ - Datasets 1.17.0
54
+ - Tokenizers 0.10.3
55
+ unbalanced_texts gpt2
all_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 3.0709511061687094,
4
+ "train_runtime": 441947.7546,
5
+ "train_samples": 780228,
6
+ "train_samples_per_second": 5.296,
7
+ "train_steps_per_second": 0.662
8
+ }
config.json ADDED
@@ -0,0 +1,39 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "gpt2",
3
+ "activation_function": "gelu_new",
4
+ "architectures": [
5
+ "GPT2LMHeadModel"
6
+ ],
7
+ "attn_pdrop": 0.1,
8
+ "bos_token_id": 50256,
9
+ "embd_pdrop": 0.1,
10
+ "eos_token_id": 50256,
11
+ "initializer_range": 0.02,
12
+ "layer_norm_epsilon": 1e-05,
13
+ "model_type": "gpt2",
14
+ "n_ctx": 1024,
15
+ "n_embd": 768,
16
+ "n_head": 12,
17
+ "n_inner": null,
18
+ "n_layer": 12,
19
+ "n_positions": 1024,
20
+ "reorder_and_upcast_attn": false,
21
+ "resid_pdrop": 0.1,
22
+ "scale_attn_by_inverse_layer_idx": false,
23
+ "scale_attn_weights": true,
24
+ "summary_activation": null,
25
+ "summary_first_dropout": 0.1,
26
+ "summary_proj_to_labels": true,
27
+ "summary_type": "cls_index",
28
+ "summary_use_proj": true,
29
+ "task_specific_params": {
30
+ "text-generation": {
31
+ "do_sample": true,
32
+ "max_length": 50
33
+ }
34
+ },
35
+ "torch_dtype": "float32",
36
+ "transformers_version": "4.15.0",
37
+ "use_cache": true,
38
+ "vocab_size": 50257
39
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7230b32a0fff8ce00fac6868467f7779585390b478c8e56bac14cd34894c0df9
3
+ size 510403817
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "unk_token": "<|endoftext|>"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "<|endoftext|>", "bos_token": "<|endoftext|>", "eos_token": "<|endoftext|>", "add_prefix_space": false, "model_max_length": 1024, "special_tokens_map_file": null, "name_or_path": "gpt2", "tokenizer_class": "GPT2Tokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 3.0,
3
+ "train_loss": 3.0709511061687094,
4
+ "train_runtime": 441947.7546,
5
+ "train_samples": 780228,
6
+ "train_samples_per_second": 5.296,
7
+ "train_steps_per_second": 0.662
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,3535 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 2.9999948732934474,
5
+ "global_step": 292584,
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": 4.9914725343832886e-05,
13
+ "loss": 3.5525,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.01,
18
+ "learning_rate": 4.982927979657124e-05,
19
+ "loss": 3.4523,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.02,
24
+ "learning_rate": 4.97438342493096e-05,
25
+ "loss": 3.4223,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.02,
30
+ "learning_rate": 4.965838870204796e-05,
31
+ "loss": 3.393,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.03,
36
+ "learning_rate": 4.9572943154786325e-05,
37
+ "loss": 3.3943,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.03,
42
+ "learning_rate": 4.948749760752468e-05,
43
+ "loss": 3.3711,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.04,
48
+ "learning_rate": 4.9402052060263034e-05,
49
+ "loss": 3.3417,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.04,
54
+ "learning_rate": 4.9316606513001396e-05,
55
+ "loss": 3.3459,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.05,
60
+ "learning_rate": 4.923116096573975e-05,
61
+ "loss": 3.3445,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.05,
66
+ "learning_rate": 4.914571541847812e-05,
67
+ "loss": 3.336,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.06,
72
+ "learning_rate": 4.9060269871216474e-05,
73
+ "loss": 3.3265,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.06,
78
+ "learning_rate": 4.8974824323954835e-05,
79
+ "loss": 3.3165,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.07,
84
+ "learning_rate": 4.888972055888224e-05,
85
+ "loss": 3.3303,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.07,
90
+ "learning_rate": 4.8804275011620595e-05,
91
+ "loss": 3.3164,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.08,
96
+ "learning_rate": 4.871882946435896e-05,
97
+ "loss": 3.3109,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.08,
102
+ "learning_rate": 4.863338391709731e-05,
103
+ "loss": 3.3003,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.09,
108
+ "learning_rate": 4.854793836983567e-05,
109
+ "loss": 3.2919,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.09,
114
+ "learning_rate": 4.8462492822574034e-05,
115
+ "loss": 3.2962,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.1,
120
+ "learning_rate": 4.8377047275312396e-05,
121
+ "loss": 3.286,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.1,
126
+ "learning_rate": 4.829160172805075e-05,
127
+ "loss": 3.2937,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.11,
132
+ "learning_rate": 4.8206156180789105e-05,
133
+ "loss": 3.2646,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.11,
138
+ "learning_rate": 4.812088152462199e-05,
139
+ "loss": 3.2726,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.12,
144
+ "learning_rate": 4.803543597736035e-05,
145
+ "loss": 3.2714,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.12,
150
+ "learning_rate": 4.7949990430098705e-05,
151
+ "loss": 3.2637,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.13,
156
+ "learning_rate": 4.786454488283707e-05,
157
+ "loss": 3.2654,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.13,
162
+ "learning_rate": 4.777927022666995e-05,
163
+ "loss": 3.2713,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.14,
168
+ "learning_rate": 4.769382467940831e-05,
169
+ "loss": 3.2532,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.14,
174
+ "learning_rate": 4.7608379132146666e-05,
175
+ "loss": 3.2651,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.15,
180
+ "learning_rate": 4.752293358488503e-05,
181
+ "loss": 3.2504,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.15,
186
+ "learning_rate": 4.743748803762338e-05,
187
+ "loss": 3.2566,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.16,
192
+ "learning_rate": 4.7352042490361744e-05,
193
+ "loss": 3.2514,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.16,
198
+ "learning_rate": 4.7266596943100105e-05,
199
+ "loss": 3.2398,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.17,
204
+ "learning_rate": 4.718115139583846e-05,
205
+ "loss": 3.2395,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.17,
210
+ "learning_rate": 4.709570584857682e-05,
211
+ "loss": 3.2432,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.18,
216
+ "learning_rate": 4.7010431192409705e-05,
217
+ "loss": 3.2395,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.18,
222
+ "learning_rate": 4.692498564514806e-05,
223
+ "loss": 3.2361,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.19,
228
+ "learning_rate": 4.683971098898094e-05,
229
+ "loss": 3.2326,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.19,
234
+ "learning_rate": 4.675443633281383e-05,
235
+ "loss": 3.2229,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.2,
240
+ "learning_rate": 4.666899078555219e-05,
241
+ "loss": 3.2272,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.21,
246
+ "learning_rate": 4.658354523829054e-05,
247
+ "loss": 3.2294,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.21,
252
+ "learning_rate": 4.6498099691028904e-05,
253
+ "loss": 3.224,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.22,
258
+ "learning_rate": 4.6412654143767266e-05,
259
+ "loss": 3.2235,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.22,
264
+ "learning_rate": 4.632720859650562e-05,
265
+ "loss": 3.2235,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.23,
270
+ "learning_rate": 4.624176304924398e-05,
271
+ "loss": 3.2216,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.23,
276
+ "learning_rate": 4.615631750198234e-05,
277
+ "loss": 3.2249,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.24,
282
+ "learning_rate": 4.607104284581522e-05,
283
+ "loss": 3.2184,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.24,
288
+ "learning_rate": 4.598559729855358e-05,
289
+ "loss": 3.2069,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.25,
294
+ "learning_rate": 4.5900151751291936e-05,
295
+ "loss": 3.2169,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.25,
300
+ "learning_rate": 4.58147062040303e-05,
301
+ "loss": 3.2062,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.26,
306
+ "learning_rate": 4.572926065676866e-05,
307
+ "loss": 3.2148,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.26,
312
+ "learning_rate": 4.5643815109507014e-05,
313
+ "loss": 3.214,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.27,
318
+ "learning_rate": 4.55585404533399e-05,
319
+ "loss": 3.2113,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.27,
324
+ "learning_rate": 4.547309490607826e-05,
325
+ "loss": 3.2076,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.28,
330
+ "learning_rate": 4.5387649358816614e-05,
331
+ "loss": 3.1962,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.28,
336
+ "learning_rate": 4.5302203811554975e-05,
337
+ "loss": 3.2037,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.29,
342
+ "learning_rate": 4.521675826429334e-05,
343
+ "loss": 3.198,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.29,
348
+ "learning_rate": 4.513131271703169e-05,
349
+ "loss": 3.1867,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.3,
354
+ "learning_rate": 4.5046038060864575e-05,
355
+ "loss": 3.188,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.3,
360
+ "learning_rate": 4.4960592513602936e-05,
361
+ "loss": 3.1905,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.31,
366
+ "learning_rate": 4.487514696634129e-05,
367
+ "loss": 3.1942,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.31,
372
+ "learning_rate": 4.478970141907965e-05,
373
+ "loss": 3.1952,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.32,
378
+ "learning_rate": 4.4704255871818014e-05,
379
+ "loss": 3.1954,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.32,
384
+ "learning_rate": 4.461881032455637e-05,
385
+ "loss": 3.1869,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.33,
390
+ "learning_rate": 4.453336477729473e-05,
391
+ "loss": 3.1834,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.33,
396
+ "learning_rate": 4.4448090121127614e-05,
397
+ "loss": 3.1838,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 0.34,
402
+ "learning_rate": 4.436264457386597e-05,
403
+ "loss": 3.1838,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 0.34,
408
+ "learning_rate": 4.427719902660433e-05,
409
+ "loss": 3.1886,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 0.35,
414
+ "learning_rate": 4.4191753479342685e-05,
415
+ "loss": 3.177,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 0.35,
420
+ "learning_rate": 4.410647882317557e-05,
421
+ "loss": 3.1853,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 0.36,
426
+ "learning_rate": 4.402103327591392e-05,
427
+ "loss": 3.1732,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 0.36,
432
+ "learning_rate": 4.393558772865229e-05,
433
+ "loss": 3.1898,
434
+ "step": 35500
435
+ },
436
+ {
437
+ "epoch": 0.37,
438
+ "learning_rate": 4.3850142181390646e-05,
439
+ "loss": 3.1705,
440
+ "step": 36000
441
+ },
442
+ {
443
+ "epoch": 0.37,
444
+ "learning_rate": 4.376469663412901e-05,
445
+ "loss": 3.1822,
446
+ "step": 36500
447
+ },
448
+ {
449
+ "epoch": 0.38,
450
+ "learning_rate": 4.367925108686736e-05,
451
+ "loss": 3.1821,
452
+ "step": 37000
453
+ },
454
+ {
455
+ "epoch": 0.38,
456
+ "learning_rate": 4.359380553960572e-05,
457
+ "loss": 3.1656,
458
+ "step": 37500
459
+ },
460
+ {
461
+ "epoch": 0.39,
462
+ "learning_rate": 4.3508359992344085e-05,
463
+ "loss": 3.1706,
464
+ "step": 38000
465
+ },
466
+ {
467
+ "epoch": 0.39,
468
+ "learning_rate": 4.342308533617696e-05,
469
+ "loss": 3.1748,
470
+ "step": 38500
471
+ },
472
+ {
473
+ "epoch": 0.4,
474
+ "learning_rate": 4.3337810680009845e-05,
475
+ "loss": 3.1566,
476
+ "step": 39000
477
+ },
478
+ {
479
+ "epoch": 0.41,
480
+ "learning_rate": 4.32523651327482e-05,
481
+ "loss": 3.1627,
482
+ "step": 39500
483
+ },
484
+ {
485
+ "epoch": 0.41,
486
+ "learning_rate": 4.316691958548657e-05,
487
+ "loss": 3.1665,
488
+ "step": 40000
489
+ },
490
+ {
491
+ "epoch": 0.42,
492
+ "learning_rate": 4.3081644929319445e-05,
493
+ "loss": 3.1663,
494
+ "step": 40500
495
+ },
496
+ {
497
+ "epoch": 0.42,
498
+ "learning_rate": 4.2996199382057806e-05,
499
+ "loss": 3.1609,
500
+ "step": 41000
501
+ },
502
+ {
503
+ "epoch": 0.43,
504
+ "learning_rate": 4.291075383479616e-05,
505
+ "loss": 3.1545,
506
+ "step": 41500
507
+ },
508
+ {
509
+ "epoch": 0.43,
510
+ "learning_rate": 4.282530828753452e-05,
511
+ "loss": 3.1663,
512
+ "step": 42000
513
+ },
514
+ {
515
+ "epoch": 0.44,
516
+ "learning_rate": 4.273986274027288e-05,
517
+ "loss": 3.168,
518
+ "step": 42500
519
+ },
520
+ {
521
+ "epoch": 0.44,
522
+ "learning_rate": 4.2654417193011245e-05,
523
+ "loss": 3.1615,
524
+ "step": 43000
525
+ },
526
+ {
527
+ "epoch": 0.45,
528
+ "learning_rate": 4.25689716457496e-05,
529
+ "loss": 3.1474,
530
+ "step": 43500
531
+ },
532
+ {
533
+ "epoch": 0.45,
534
+ "learning_rate": 4.2483526098487955e-05,
535
+ "loss": 3.1532,
536
+ "step": 44000
537
+ },
538
+ {
539
+ "epoch": 0.46,
540
+ "learning_rate": 4.2398080551226316e-05,
541
+ "loss": 3.1674,
542
+ "step": 44500
543
+ },
544
+ {
545
+ "epoch": 0.46,
546
+ "learning_rate": 4.231263500396467e-05,
547
+ "loss": 3.1692,
548
+ "step": 45000
549
+ },
550
+ {
551
+ "epoch": 0.47,
552
+ "learning_rate": 4.222718945670304e-05,
553
+ "loss": 3.1621,
554
+ "step": 45500
555
+ },
556
+ {
557
+ "epoch": 0.47,
558
+ "learning_rate": 4.2141743909441394e-05,
559
+ "loss": 3.1624,
560
+ "step": 46000
561
+ },
562
+ {
563
+ "epoch": 0.48,
564
+ "learning_rate": 4.205646925327428e-05,
565
+ "loss": 3.1554,
566
+ "step": 46500
567
+ },
568
+ {
569
+ "epoch": 0.48,
570
+ "learning_rate": 4.197102370601263e-05,
571
+ "loss": 3.1669,
572
+ "step": 47000
573
+ },
574
+ {
575
+ "epoch": 0.49,
576
+ "learning_rate": 4.1885578158750994e-05,
577
+ "loss": 3.1535,
578
+ "step": 47500
579
+ },
580
+ {
581
+ "epoch": 0.49,
582
+ "learning_rate": 4.180013261148935e-05,
583
+ "loss": 3.1582,
584
+ "step": 48000
585
+ },
586
+ {
587
+ "epoch": 0.5,
588
+ "learning_rate": 4.171468706422771e-05,
589
+ "loss": 3.1469,
590
+ "step": 48500
591
+ },
592
+ {
593
+ "epoch": 0.5,
594
+ "learning_rate": 4.162941240806059e-05,
595
+ "loss": 3.15,
596
+ "step": 49000
597
+ },
598
+ {
599
+ "epoch": 0.51,
600
+ "learning_rate": 4.154396686079895e-05,
601
+ "loss": 3.1568,
602
+ "step": 49500
603
+ },
604
+ {
605
+ "epoch": 0.51,
606
+ "learning_rate": 4.1458521313537316e-05,
607
+ "loss": 3.1583,
608
+ "step": 50000
609
+ },
610
+ {
611
+ "epoch": 0.52,
612
+ "learning_rate": 4.137324665737019e-05,
613
+ "loss": 3.1547,
614
+ "step": 50500
615
+ },
616
+ {
617
+ "epoch": 0.52,
618
+ "learning_rate": 4.1287801110108555e-05,
619
+ "loss": 3.1383,
620
+ "step": 51000
621
+ },
622
+ {
623
+ "epoch": 0.53,
624
+ "learning_rate": 4.120235556284691e-05,
625
+ "loss": 3.1239,
626
+ "step": 51500
627
+ },
628
+ {
629
+ "epoch": 0.53,
630
+ "learning_rate": 4.111691001558527e-05,
631
+ "loss": 3.1581,
632
+ "step": 52000
633
+ },
634
+ {
635
+ "epoch": 0.54,
636
+ "learning_rate": 4.1031464468323625e-05,
637
+ "loss": 3.1414,
638
+ "step": 52500
639
+ },
640
+ {
641
+ "epoch": 0.54,
642
+ "learning_rate": 4.094601892106199e-05,
643
+ "loss": 3.128,
644
+ "step": 53000
645
+ },
646
+ {
647
+ "epoch": 0.55,
648
+ "learning_rate": 4.086057337380035e-05,
649
+ "loss": 3.1435,
650
+ "step": 53500
651
+ },
652
+ {
653
+ "epoch": 0.55,
654
+ "learning_rate": 4.07751278265387e-05,
655
+ "loss": 3.1491,
656
+ "step": 54000
657
+ },
658
+ {
659
+ "epoch": 0.56,
660
+ "learning_rate": 4.0689682279277064e-05,
661
+ "loss": 3.1431,
662
+ "step": 54500
663
+ },
664
+ {
665
+ "epoch": 0.56,
666
+ "learning_rate": 4.060423673201542e-05,
667
+ "loss": 3.1397,
668
+ "step": 55000
669
+ },
670
+ {
671
+ "epoch": 0.57,
672
+ "learning_rate": 4.051879118475378e-05,
673
+ "loss": 3.1366,
674
+ "step": 55500
675
+ },
676
+ {
677
+ "epoch": 0.57,
678
+ "learning_rate": 4.043334563749214e-05,
679
+ "loss": 3.1329,
680
+ "step": 56000
681
+ },
682
+ {
683
+ "epoch": 0.58,
684
+ "learning_rate": 4.0347900090230504e-05,
685
+ "loss": 3.1343,
686
+ "step": 56500
687
+ },
688
+ {
689
+ "epoch": 0.58,
690
+ "learning_rate": 4.026262543406338e-05,
691
+ "loss": 3.1444,
692
+ "step": 57000
693
+ },
694
+ {
695
+ "epoch": 0.59,
696
+ "learning_rate": 4.0177350777896264e-05,
697
+ "loss": 3.1396,
698
+ "step": 57500
699
+ },
700
+ {
701
+ "epoch": 0.59,
702
+ "learning_rate": 4.0091905230634625e-05,
703
+ "loss": 3.1388,
704
+ "step": 58000
705
+ },
706
+ {
707
+ "epoch": 0.6,
708
+ "learning_rate": 4.000645968337298e-05,
709
+ "loss": 3.135,
710
+ "step": 58500
711
+ },
712
+ {
713
+ "epoch": 0.6,
714
+ "learning_rate": 3.992101413611134e-05,
715
+ "loss": 3.1425,
716
+ "step": 59000
717
+ },
718
+ {
719
+ "epoch": 0.61,
720
+ "learning_rate": 3.9835568588849696e-05,
721
+ "loss": 3.1412,
722
+ "step": 59500
723
+ },
724
+ {
725
+ "epoch": 0.62,
726
+ "learning_rate": 3.975012304158806e-05,
727
+ "loss": 3.1293,
728
+ "step": 60000
729
+ },
730
+ {
731
+ "epoch": 0.62,
732
+ "learning_rate": 3.966467749432642e-05,
733
+ "loss": 3.1421,
734
+ "step": 60500
735
+ },
736
+ {
737
+ "epoch": 0.63,
738
+ "learning_rate": 3.95794028381593e-05,
739
+ "loss": 3.1438,
740
+ "step": 61000
741
+ },
742
+ {
743
+ "epoch": 0.63,
744
+ "learning_rate": 3.949395729089766e-05,
745
+ "loss": 3.1413,
746
+ "step": 61500
747
+ },
748
+ {
749
+ "epoch": 0.64,
750
+ "learning_rate": 3.940851174363602e-05,
751
+ "loss": 3.1393,
752
+ "step": 62000
753
+ },
754
+ {
755
+ "epoch": 0.64,
756
+ "learning_rate": 3.9323066196374374e-05,
757
+ "loss": 3.1355,
758
+ "step": 62500
759
+ },
760
+ {
761
+ "epoch": 0.65,
762
+ "learning_rate": 3.9237620649112735e-05,
763
+ "loss": 3.1297,
764
+ "step": 63000
765
+ },
766
+ {
767
+ "epoch": 0.65,
768
+ "learning_rate": 3.9152175101851097e-05,
769
+ "loss": 3.1345,
770
+ "step": 63500
771
+ },
772
+ {
773
+ "epoch": 0.66,
774
+ "learning_rate": 3.906672955458945e-05,
775
+ "loss": 3.1229,
776
+ "step": 64000
777
+ },
778
+ {
779
+ "epoch": 0.66,
780
+ "learning_rate": 3.898128400732781e-05,
781
+ "loss": 3.131,
782
+ "step": 64500
783
+ },
784
+ {
785
+ "epoch": 0.67,
786
+ "learning_rate": 3.8896009351160696e-05,
787
+ "loss": 3.1207,
788
+ "step": 65000
789
+ },
790
+ {
791
+ "epoch": 0.67,
792
+ "learning_rate": 3.881056380389905e-05,
793
+ "loss": 3.1154,
794
+ "step": 65500
795
+ },
796
+ {
797
+ "epoch": 0.68,
798
+ "learning_rate": 3.872511825663741e-05,
799
+ "loss": 3.129,
800
+ "step": 66000
801
+ },
802
+ {
803
+ "epoch": 0.68,
804
+ "learning_rate": 3.863967270937577e-05,
805
+ "loss": 3.1382,
806
+ "step": 66500
807
+ },
808
+ {
809
+ "epoch": 0.69,
810
+ "learning_rate": 3.855422716211413e-05,
811
+ "loss": 3.1161,
812
+ "step": 67000
813
+ },
814
+ {
815
+ "epoch": 0.69,
816
+ "learning_rate": 3.846895250594701e-05,
817
+ "loss": 3.1299,
818
+ "step": 67500
819
+ },
820
+ {
821
+ "epoch": 0.7,
822
+ "learning_rate": 3.838367784977989e-05,
823
+ "loss": 3.1149,
824
+ "step": 68000
825
+ },
826
+ {
827
+ "epoch": 0.7,
828
+ "learning_rate": 3.829823230251826e-05,
829
+ "loss": 3.1248,
830
+ "step": 68500
831
+ },
832
+ {
833
+ "epoch": 0.71,
834
+ "learning_rate": 3.821278675525661e-05,
835
+ "loss": 3.1218,
836
+ "step": 69000
837
+ },
838
+ {
839
+ "epoch": 0.71,
840
+ "learning_rate": 3.812734120799497e-05,
841
+ "loss": 3.1164,
842
+ "step": 69500
843
+ },
844
+ {
845
+ "epoch": 0.72,
846
+ "learning_rate": 3.804189566073333e-05,
847
+ "loss": 3.1235,
848
+ "step": 70000
849
+ },
850
+ {
851
+ "epoch": 0.72,
852
+ "learning_rate": 3.795645011347169e-05,
853
+ "loss": 3.1156,
854
+ "step": 70500
855
+ },
856
+ {
857
+ "epoch": 0.73,
858
+ "learning_rate": 3.787100456621005e-05,
859
+ "loss": 3.1222,
860
+ "step": 71000
861
+ },
862
+ {
863
+ "epoch": 0.73,
864
+ "learning_rate": 3.7785559018948406e-05,
865
+ "loss": 3.1187,
866
+ "step": 71500
867
+ },
868
+ {
869
+ "epoch": 0.74,
870
+ "learning_rate": 3.770011347168677e-05,
871
+ "loss": 3.1255,
872
+ "step": 72000
873
+ },
874
+ {
875
+ "epoch": 0.74,
876
+ "learning_rate": 3.761466792442512e-05,
877
+ "loss": 3.1188,
878
+ "step": 72500
879
+ },
880
+ {
881
+ "epoch": 0.75,
882
+ "learning_rate": 3.7529393268258005e-05,
883
+ "loss": 3.1261,
884
+ "step": 73000
885
+ },
886
+ {
887
+ "epoch": 0.75,
888
+ "learning_rate": 3.744394772099637e-05,
889
+ "loss": 3.1207,
890
+ "step": 73500
891
+ },
892
+ {
893
+ "epoch": 0.76,
894
+ "learning_rate": 3.735850217373472e-05,
895
+ "loss": 3.1123,
896
+ "step": 74000
897
+ },
898
+ {
899
+ "epoch": 0.76,
900
+ "learning_rate": 3.727305662647308e-05,
901
+ "loss": 3.1136,
902
+ "step": 74500
903
+ },
904
+ {
905
+ "epoch": 0.77,
906
+ "learning_rate": 3.7187611079211444e-05,
907
+ "loss": 3.1299,
908
+ "step": 75000
909
+ },
910
+ {
911
+ "epoch": 0.77,
912
+ "learning_rate": 3.710233642304433e-05,
913
+ "loss": 3.1131,
914
+ "step": 75500
915
+ },
916
+ {
917
+ "epoch": 0.78,
918
+ "learning_rate": 3.701689087578268e-05,
919
+ "loss": 3.1225,
920
+ "step": 76000
921
+ },
922
+ {
923
+ "epoch": 0.78,
924
+ "learning_rate": 3.6931445328521044e-05,
925
+ "loss": 3.1117,
926
+ "step": 76500
927
+ },
928
+ {
929
+ "epoch": 0.79,
930
+ "learning_rate": 3.68459997812594e-05,
931
+ "loss": 3.0971,
932
+ "step": 77000
933
+ },
934
+ {
935
+ "epoch": 0.79,
936
+ "learning_rate": 3.676072512509228e-05,
937
+ "loss": 3.1096,
938
+ "step": 77500
939
+ },
940
+ {
941
+ "epoch": 0.8,
942
+ "learning_rate": 3.667527957783064e-05,
943
+ "loss": 3.11,
944
+ "step": 78000
945
+ },
946
+ {
947
+ "epoch": 0.8,
948
+ "learning_rate": 3.6589834030569005e-05,
949
+ "loss": 3.0992,
950
+ "step": 78500
951
+ },
952
+ {
953
+ "epoch": 0.81,
954
+ "learning_rate": 3.650438848330736e-05,
955
+ "loss": 3.1196,
956
+ "step": 79000
957
+ },
958
+ {
959
+ "epoch": 0.82,
960
+ "learning_rate": 3.6419113827140244e-05,
961
+ "loss": 3.1152,
962
+ "step": 79500
963
+ },
964
+ {
965
+ "epoch": 0.82,
966
+ "learning_rate": 3.6333668279878605e-05,
967
+ "loss": 3.1123,
968
+ "step": 80000
969
+ },
970
+ {
971
+ "epoch": 0.83,
972
+ "learning_rate": 3.624822273261696e-05,
973
+ "loss": 3.1149,
974
+ "step": 80500
975
+ },
976
+ {
977
+ "epoch": 0.83,
978
+ "learning_rate": 3.6162777185355314e-05,
979
+ "loss": 3.1118,
980
+ "step": 81000
981
+ },
982
+ {
983
+ "epoch": 0.84,
984
+ "learning_rate": 3.6077331638093676e-05,
985
+ "loss": 3.0959,
986
+ "step": 81500
987
+ },
988
+ {
989
+ "epoch": 0.84,
990
+ "learning_rate": 3.599188609083204e-05,
991
+ "loss": 3.1101,
992
+ "step": 82000
993
+ },
994
+ {
995
+ "epoch": 0.85,
996
+ "learning_rate": 3.59064405435704e-05,
997
+ "loss": 3.0982,
998
+ "step": 82500
999
+ },
1000
+ {
1001
+ "epoch": 0.85,
1002
+ "learning_rate": 3.5820994996308753e-05,
1003
+ "loss": 3.1139,
1004
+ "step": 83000
1005
+ },
1006
+ {
1007
+ "epoch": 0.86,
1008
+ "learning_rate": 3.573572034014164e-05,
1009
+ "loss": 3.1021,
1010
+ "step": 83500
1011
+ },
1012
+ {
1013
+ "epoch": 0.86,
1014
+ "learning_rate": 3.565027479288e-05,
1015
+ "loss": 3.1286,
1016
+ "step": 84000
1017
+ },
1018
+ {
1019
+ "epoch": 0.87,
1020
+ "learning_rate": 3.556482924561835e-05,
1021
+ "loss": 3.0923,
1022
+ "step": 84500
1023
+ },
1024
+ {
1025
+ "epoch": 0.87,
1026
+ "learning_rate": 3.547938369835671e-05,
1027
+ "loss": 3.1152,
1028
+ "step": 85000
1029
+ },
1030
+ {
1031
+ "epoch": 0.88,
1032
+ "learning_rate": 3.5393938151095076e-05,
1033
+ "loss": 3.1174,
1034
+ "step": 85500
1035
+ },
1036
+ {
1037
+ "epoch": 0.88,
1038
+ "learning_rate": 3.530866349492795e-05,
1039
+ "loss": 3.0943,
1040
+ "step": 86000
1041
+ },
1042
+ {
1043
+ "epoch": 0.89,
1044
+ "learning_rate": 3.5223217947666314e-05,
1045
+ "loss": 3.1051,
1046
+ "step": 86500
1047
+ },
1048
+ {
1049
+ "epoch": 0.89,
1050
+ "learning_rate": 3.5137772400404676e-05,
1051
+ "loss": 3.0888,
1052
+ "step": 87000
1053
+ },
1054
+ {
1055
+ "epoch": 0.9,
1056
+ "learning_rate": 3.505232685314303e-05,
1057
+ "loss": 3.1071,
1058
+ "step": 87500
1059
+ },
1060
+ {
1061
+ "epoch": 0.9,
1062
+ "learning_rate": 3.4966881305881385e-05,
1063
+ "loss": 3.1063,
1064
+ "step": 88000
1065
+ },
1066
+ {
1067
+ "epoch": 0.91,
1068
+ "learning_rate": 3.488143575861975e-05,
1069
+ "loss": 3.1077,
1070
+ "step": 88500
1071
+ },
1072
+ {
1073
+ "epoch": 0.91,
1074
+ "learning_rate": 3.479599021135811e-05,
1075
+ "loss": 3.0985,
1076
+ "step": 89000
1077
+ },
1078
+ {
1079
+ "epoch": 0.92,
1080
+ "learning_rate": 3.471054466409647e-05,
1081
+ "loss": 3.0979,
1082
+ "step": 89500
1083
+ },
1084
+ {
1085
+ "epoch": 0.92,
1086
+ "learning_rate": 3.462527000792935e-05,
1087
+ "loss": 3.0953,
1088
+ "step": 90000
1089
+ },
1090
+ {
1091
+ "epoch": 0.93,
1092
+ "learning_rate": 3.453982446066771e-05,
1093
+ "loss": 3.0865,
1094
+ "step": 90500
1095
+ },
1096
+ {
1097
+ "epoch": 0.93,
1098
+ "learning_rate": 3.445437891340606e-05,
1099
+ "loss": 3.0956,
1100
+ "step": 91000
1101
+ },
1102
+ {
1103
+ "epoch": 0.94,
1104
+ "learning_rate": 3.4368933366144424e-05,
1105
+ "loss": 3.103,
1106
+ "step": 91500
1107
+ },
1108
+ {
1109
+ "epoch": 0.94,
1110
+ "learning_rate": 3.428348781888278e-05,
1111
+ "loss": 3.0955,
1112
+ "step": 92000
1113
+ },
1114
+ {
1115
+ "epoch": 0.95,
1116
+ "learning_rate": 3.419804227162115e-05,
1117
+ "loss": 3.095,
1118
+ "step": 92500
1119
+ },
1120
+ {
1121
+ "epoch": 0.95,
1122
+ "learning_rate": 3.41125967243595e-05,
1123
+ "loss": 3.0928,
1124
+ "step": 93000
1125
+ },
1126
+ {
1127
+ "epoch": 0.96,
1128
+ "learning_rate": 3.402715117709786e-05,
1129
+ "loss": 3.0907,
1130
+ "step": 93500
1131
+ },
1132
+ {
1133
+ "epoch": 0.96,
1134
+ "learning_rate": 3.394187652093074e-05,
1135
+ "loss": 3.0863,
1136
+ "step": 94000
1137
+ },
1138
+ {
1139
+ "epoch": 0.97,
1140
+ "learning_rate": 3.38564309736691e-05,
1141
+ "loss": 3.0914,
1142
+ "step": 94500
1143
+ },
1144
+ {
1145
+ "epoch": 0.97,
1146
+ "learning_rate": 3.3770985426407456e-05,
1147
+ "loss": 3.0989,
1148
+ "step": 95000
1149
+ },
1150
+ {
1151
+ "epoch": 0.98,
1152
+ "learning_rate": 3.3685539879145824e-05,
1153
+ "loss": 3.098,
1154
+ "step": 95500
1155
+ },
1156
+ {
1157
+ "epoch": 0.98,
1158
+ "learning_rate": 3.36002652229787e-05,
1159
+ "loss": 3.1002,
1160
+ "step": 96000
1161
+ },
1162
+ {
1163
+ "epoch": 0.99,
1164
+ "learning_rate": 3.351481967571706e-05,
1165
+ "loss": 3.0808,
1166
+ "step": 96500
1167
+ },
1168
+ {
1169
+ "epoch": 0.99,
1170
+ "learning_rate": 3.342954501954994e-05,
1171
+ "loss": 3.092,
1172
+ "step": 97000
1173
+ },
1174
+ {
1175
+ "epoch": 1.0,
1176
+ "learning_rate": 3.33440994722883e-05,
1177
+ "loss": 3.0876,
1178
+ "step": 97500
1179
+ },
1180
+ {
1181
+ "epoch": 1.0,
1182
+ "learning_rate": 3.325865392502666e-05,
1183
+ "loss": 3.0774,
1184
+ "step": 98000
1185
+ },
1186
+ {
1187
+ "epoch": 1.01,
1188
+ "learning_rate": 3.317320837776502e-05,
1189
+ "loss": 3.0681,
1190
+ "step": 98500
1191
+ },
1192
+ {
1193
+ "epoch": 1.02,
1194
+ "learning_rate": 3.308776283050338e-05,
1195
+ "loss": 3.0655,
1196
+ "step": 99000
1197
+ },
1198
+ {
1199
+ "epoch": 1.02,
1200
+ "learning_rate": 3.300231728324173e-05,
1201
+ "loss": 3.0572,
1202
+ "step": 99500
1203
+ },
1204
+ {
1205
+ "epoch": 1.03,
1206
+ "learning_rate": 3.29168717359801e-05,
1207
+ "loss": 3.0677,
1208
+ "step": 100000
1209
+ },
1210
+ {
1211
+ "epoch": 1.03,
1212
+ "learning_rate": 3.283159707981298e-05,
1213
+ "loss": 3.0807,
1214
+ "step": 100500
1215
+ },
1216
+ {
1217
+ "epoch": 1.04,
1218
+ "learning_rate": 3.274615153255134e-05,
1219
+ "loss": 3.0616,
1220
+ "step": 101000
1221
+ },
1222
+ {
1223
+ "epoch": 1.04,
1224
+ "learning_rate": 3.2660705985289694e-05,
1225
+ "loss": 3.0715,
1226
+ "step": 101500
1227
+ },
1228
+ {
1229
+ "epoch": 1.05,
1230
+ "learning_rate": 3.2575260438028056e-05,
1231
+ "loss": 3.0786,
1232
+ "step": 102000
1233
+ },
1234
+ {
1235
+ "epoch": 1.05,
1236
+ "learning_rate": 3.248981489076641e-05,
1237
+ "loss": 3.0762,
1238
+ "step": 102500
1239
+ },
1240
+ {
1241
+ "epoch": 1.06,
1242
+ "learning_rate": 3.2404540234599294e-05,
1243
+ "loss": 3.0679,
1244
+ "step": 103000
1245
+ },
1246
+ {
1247
+ "epoch": 1.06,
1248
+ "learning_rate": 3.2319094687337655e-05,
1249
+ "loss": 3.0596,
1250
+ "step": 103500
1251
+ },
1252
+ {
1253
+ "epoch": 1.07,
1254
+ "learning_rate": 3.223364914007602e-05,
1255
+ "loss": 3.0598,
1256
+ "step": 104000
1257
+ },
1258
+ {
1259
+ "epoch": 1.07,
1260
+ "learning_rate": 3.214820359281437e-05,
1261
+ "loss": 3.0626,
1262
+ "step": 104500
1263
+ },
1264
+ {
1265
+ "epoch": 1.08,
1266
+ "learning_rate": 3.206275804555273e-05,
1267
+ "loss": 3.0616,
1268
+ "step": 105000
1269
+ },
1270
+ {
1271
+ "epoch": 1.08,
1272
+ "learning_rate": 3.197731249829109e-05,
1273
+ "loss": 3.072,
1274
+ "step": 105500
1275
+ },
1276
+ {
1277
+ "epoch": 1.09,
1278
+ "learning_rate": 3.189186695102945e-05,
1279
+ "loss": 3.0721,
1280
+ "step": 106000
1281
+ },
1282
+ {
1283
+ "epoch": 1.09,
1284
+ "learning_rate": 3.180642140376781e-05,
1285
+ "loss": 3.0707,
1286
+ "step": 106500
1287
+ },
1288
+ {
1289
+ "epoch": 1.1,
1290
+ "learning_rate": 3.172114674760069e-05,
1291
+ "loss": 3.0553,
1292
+ "step": 107000
1293
+ },
1294
+ {
1295
+ "epoch": 1.1,
1296
+ "learning_rate": 3.163570120033905e-05,
1297
+ "loss": 3.0615,
1298
+ "step": 107500
1299
+ },
1300
+ {
1301
+ "epoch": 1.11,
1302
+ "learning_rate": 3.155025565307741e-05,
1303
+ "loss": 3.0536,
1304
+ "step": 108000
1305
+ },
1306
+ {
1307
+ "epoch": 1.11,
1308
+ "learning_rate": 3.1464810105815765e-05,
1309
+ "loss": 3.0731,
1310
+ "step": 108500
1311
+ },
1312
+ {
1313
+ "epoch": 1.12,
1314
+ "learning_rate": 3.137953544964865e-05,
1315
+ "loss": 3.0594,
1316
+ "step": 109000
1317
+ },
1318
+ {
1319
+ "epoch": 1.12,
1320
+ "learning_rate": 3.129408990238701e-05,
1321
+ "loss": 3.0576,
1322
+ "step": 109500
1323
+ },
1324
+ {
1325
+ "epoch": 1.13,
1326
+ "learning_rate": 3.1208644355125365e-05,
1327
+ "loss": 3.0633,
1328
+ "step": 110000
1329
+ },
1330
+ {
1331
+ "epoch": 1.13,
1332
+ "learning_rate": 3.1123198807863726e-05,
1333
+ "loss": 3.0699,
1334
+ "step": 110500
1335
+ },
1336
+ {
1337
+ "epoch": 1.14,
1338
+ "learning_rate": 3.103775326060209e-05,
1339
+ "loss": 3.0633,
1340
+ "step": 111000
1341
+ },
1342
+ {
1343
+ "epoch": 1.14,
1344
+ "learning_rate": 3.095230771334044e-05,
1345
+ "loss": 3.0682,
1346
+ "step": 111500
1347
+ },
1348
+ {
1349
+ "epoch": 1.15,
1350
+ "learning_rate": 3.0866862166078804e-05,
1351
+ "loss": 3.066,
1352
+ "step": 112000
1353
+ },
1354
+ {
1355
+ "epoch": 1.15,
1356
+ "learning_rate": 3.078141661881716e-05,
1357
+ "loss": 3.055,
1358
+ "step": 112500
1359
+ },
1360
+ {
1361
+ "epoch": 1.16,
1362
+ "learning_rate": 3.069614196265004e-05,
1363
+ "loss": 3.0603,
1364
+ "step": 113000
1365
+ },
1366
+ {
1367
+ "epoch": 1.16,
1368
+ "learning_rate": 3.0610696415388404e-05,
1369
+ "loss": 3.0653,
1370
+ "step": 113500
1371
+ },
1372
+ {
1373
+ "epoch": 1.17,
1374
+ "learning_rate": 3.052525086812676e-05,
1375
+ "loss": 3.0617,
1376
+ "step": 114000
1377
+ },
1378
+ {
1379
+ "epoch": 1.17,
1380
+ "learning_rate": 3.0439976211959642e-05,
1381
+ "loss": 3.065,
1382
+ "step": 114500
1383
+ },
1384
+ {
1385
+ "epoch": 1.18,
1386
+ "learning_rate": 3.0354530664698007e-05,
1387
+ "loss": 3.0733,
1388
+ "step": 115000
1389
+ },
1390
+ {
1391
+ "epoch": 1.18,
1392
+ "learning_rate": 3.0269085117436365e-05,
1393
+ "loss": 3.0707,
1394
+ "step": 115500
1395
+ },
1396
+ {
1397
+ "epoch": 1.19,
1398
+ "learning_rate": 3.018363957017472e-05,
1399
+ "loss": 3.0643,
1400
+ "step": 116000
1401
+ },
1402
+ {
1403
+ "epoch": 1.19,
1404
+ "learning_rate": 3.0098194022913078e-05,
1405
+ "loss": 3.0527,
1406
+ "step": 116500
1407
+ },
1408
+ {
1409
+ "epoch": 1.2,
1410
+ "learning_rate": 3.0012748475651436e-05,
1411
+ "loss": 3.0608,
1412
+ "step": 117000
1413
+ },
1414
+ {
1415
+ "epoch": 1.2,
1416
+ "learning_rate": 2.992747381948432e-05,
1417
+ "loss": 3.0666,
1418
+ "step": 117500
1419
+ },
1420
+ {
1421
+ "epoch": 1.21,
1422
+ "learning_rate": 2.9842028272222677e-05,
1423
+ "loss": 3.0607,
1424
+ "step": 118000
1425
+ },
1426
+ {
1427
+ "epoch": 1.22,
1428
+ "learning_rate": 2.9756582724961042e-05,
1429
+ "loss": 3.0624,
1430
+ "step": 118500
1431
+ },
1432
+ {
1433
+ "epoch": 1.22,
1434
+ "learning_rate": 2.9671137177699397e-05,
1435
+ "loss": 3.0688,
1436
+ "step": 119000
1437
+ },
1438
+ {
1439
+ "epoch": 1.23,
1440
+ "learning_rate": 2.9585691630437755e-05,
1441
+ "loss": 3.0639,
1442
+ "step": 119500
1443
+ },
1444
+ {
1445
+ "epoch": 1.23,
1446
+ "learning_rate": 2.9500246083176113e-05,
1447
+ "loss": 3.0542,
1448
+ "step": 120000
1449
+ },
1450
+ {
1451
+ "epoch": 1.24,
1452
+ "learning_rate": 2.9414971427008997e-05,
1453
+ "loss": 3.0586,
1454
+ "step": 120500
1455
+ },
1456
+ {
1457
+ "epoch": 1.24,
1458
+ "learning_rate": 2.9329525879747355e-05,
1459
+ "loss": 3.049,
1460
+ "step": 121000
1461
+ },
1462
+ {
1463
+ "epoch": 1.25,
1464
+ "learning_rate": 2.9244080332485713e-05,
1465
+ "loss": 3.0606,
1466
+ "step": 121500
1467
+ },
1468
+ {
1469
+ "epoch": 1.25,
1470
+ "learning_rate": 2.9158634785224078e-05,
1471
+ "loss": 3.0571,
1472
+ "step": 122000
1473
+ },
1474
+ {
1475
+ "epoch": 1.26,
1476
+ "learning_rate": 2.9073189237962432e-05,
1477
+ "loss": 3.0629,
1478
+ "step": 122500
1479
+ },
1480
+ {
1481
+ "epoch": 1.26,
1482
+ "learning_rate": 2.898774369070079e-05,
1483
+ "loss": 3.0634,
1484
+ "step": 123000
1485
+ },
1486
+ {
1487
+ "epoch": 1.27,
1488
+ "learning_rate": 2.8902469034533674e-05,
1489
+ "loss": 3.0511,
1490
+ "step": 123500
1491
+ },
1492
+ {
1493
+ "epoch": 1.27,
1494
+ "learning_rate": 2.8817023487272032e-05,
1495
+ "loss": 3.0574,
1496
+ "step": 124000
1497
+ },
1498
+ {
1499
+ "epoch": 1.28,
1500
+ "learning_rate": 2.873157794001039e-05,
1501
+ "loss": 3.061,
1502
+ "step": 124500
1503
+ },
1504
+ {
1505
+ "epoch": 1.28,
1506
+ "learning_rate": 2.8646132392748748e-05,
1507
+ "loss": 3.0489,
1508
+ "step": 125000
1509
+ },
1510
+ {
1511
+ "epoch": 1.29,
1512
+ "learning_rate": 2.856068684548711e-05,
1513
+ "loss": 3.0578,
1514
+ "step": 125500
1515
+ },
1516
+ {
1517
+ "epoch": 1.29,
1518
+ "learning_rate": 2.847541218931999e-05,
1519
+ "loss": 3.063,
1520
+ "step": 126000
1521
+ },
1522
+ {
1523
+ "epoch": 1.3,
1524
+ "learning_rate": 2.838996664205835e-05,
1525
+ "loss": 3.0652,
1526
+ "step": 126500
1527
+ },
1528
+ {
1529
+ "epoch": 1.3,
1530
+ "learning_rate": 2.830452109479671e-05,
1531
+ "loss": 3.0499,
1532
+ "step": 127000
1533
+ },
1534
+ {
1535
+ "epoch": 1.31,
1536
+ "learning_rate": 2.8219075547535067e-05,
1537
+ "loss": 3.0534,
1538
+ "step": 127500
1539
+ },
1540
+ {
1541
+ "epoch": 1.31,
1542
+ "learning_rate": 2.8133630000273425e-05,
1543
+ "loss": 3.0795,
1544
+ "step": 128000
1545
+ },
1546
+ {
1547
+ "epoch": 1.32,
1548
+ "learning_rate": 2.804818445301179e-05,
1549
+ "loss": 3.0544,
1550
+ "step": 128500
1551
+ },
1552
+ {
1553
+ "epoch": 1.32,
1554
+ "learning_rate": 2.7962738905750145e-05,
1555
+ "loss": 3.0582,
1556
+ "step": 129000
1557
+ },
1558
+ {
1559
+ "epoch": 1.33,
1560
+ "learning_rate": 2.7877293358488503e-05,
1561
+ "loss": 3.0497,
1562
+ "step": 129500
1563
+ },
1564
+ {
1565
+ "epoch": 1.33,
1566
+ "learning_rate": 2.779184781122686e-05,
1567
+ "loss": 3.0507,
1568
+ "step": 130000
1569
+ },
1570
+ {
1571
+ "epoch": 1.34,
1572
+ "learning_rate": 2.770640226396522e-05,
1573
+ "loss": 3.0572,
1574
+ "step": 130500
1575
+ },
1576
+ {
1577
+ "epoch": 1.34,
1578
+ "learning_rate": 2.7621127607798103e-05,
1579
+ "loss": 3.0776,
1580
+ "step": 131000
1581
+ },
1582
+ {
1583
+ "epoch": 1.35,
1584
+ "learning_rate": 2.753568206053646e-05,
1585
+ "loss": 3.0371,
1586
+ "step": 131500
1587
+ },
1588
+ {
1589
+ "epoch": 1.35,
1590
+ "learning_rate": 2.7450236513274822e-05,
1591
+ "loss": 3.0666,
1592
+ "step": 132000
1593
+ },
1594
+ {
1595
+ "epoch": 1.36,
1596
+ "learning_rate": 2.7364961857107703e-05,
1597
+ "loss": 3.0543,
1598
+ "step": 132500
1599
+ },
1600
+ {
1601
+ "epoch": 1.36,
1602
+ "learning_rate": 2.7279516309846064e-05,
1603
+ "loss": 3.0533,
1604
+ "step": 133000
1605
+ },
1606
+ {
1607
+ "epoch": 1.37,
1608
+ "learning_rate": 2.7194070762584422e-05,
1609
+ "loss": 3.051,
1610
+ "step": 133500
1611
+ },
1612
+ {
1613
+ "epoch": 1.37,
1614
+ "learning_rate": 2.710862521532278e-05,
1615
+ "loss": 3.0591,
1616
+ "step": 134000
1617
+ },
1618
+ {
1619
+ "epoch": 1.38,
1620
+ "learning_rate": 2.7023179668061138e-05,
1621
+ "loss": 3.037,
1622
+ "step": 134500
1623
+ },
1624
+ {
1625
+ "epoch": 1.38,
1626
+ "learning_rate": 2.6937734120799496e-05,
1627
+ "loss": 3.0503,
1628
+ "step": 135000
1629
+ },
1630
+ {
1631
+ "epoch": 1.39,
1632
+ "learning_rate": 2.6852288573537858e-05,
1633
+ "loss": 3.0466,
1634
+ "step": 135500
1635
+ },
1636
+ {
1637
+ "epoch": 1.39,
1638
+ "learning_rate": 2.6766843026276216e-05,
1639
+ "loss": 3.0635,
1640
+ "step": 136000
1641
+ },
1642
+ {
1643
+ "epoch": 1.4,
1644
+ "learning_rate": 2.6681397479014574e-05,
1645
+ "loss": 3.0433,
1646
+ "step": 136500
1647
+ },
1648
+ {
1649
+ "epoch": 1.4,
1650
+ "learning_rate": 2.6595951931752932e-05,
1651
+ "loss": 3.0365,
1652
+ "step": 137000
1653
+ },
1654
+ {
1655
+ "epoch": 1.41,
1656
+ "learning_rate": 2.6510677275585816e-05,
1657
+ "loss": 3.046,
1658
+ "step": 137500
1659
+ },
1660
+ {
1661
+ "epoch": 1.41,
1662
+ "learning_rate": 2.6425231728324174e-05,
1663
+ "loss": 3.0267,
1664
+ "step": 138000
1665
+ },
1666
+ {
1667
+ "epoch": 1.42,
1668
+ "learning_rate": 2.6339786181062532e-05,
1669
+ "loss": 3.0468,
1670
+ "step": 138500
1671
+ },
1672
+ {
1673
+ "epoch": 1.43,
1674
+ "learning_rate": 2.6254340633800893e-05,
1675
+ "loss": 3.0376,
1676
+ "step": 139000
1677
+ },
1678
+ {
1679
+ "epoch": 1.43,
1680
+ "learning_rate": 2.616889508653925e-05,
1681
+ "loss": 3.0292,
1682
+ "step": 139500
1683
+ },
1684
+ {
1685
+ "epoch": 1.44,
1686
+ "learning_rate": 2.6083620430372135e-05,
1687
+ "loss": 3.0482,
1688
+ "step": 140000
1689
+ },
1690
+ {
1691
+ "epoch": 1.44,
1692
+ "learning_rate": 2.5998174883110493e-05,
1693
+ "loss": 3.0303,
1694
+ "step": 140500
1695
+ },
1696
+ {
1697
+ "epoch": 1.45,
1698
+ "learning_rate": 2.591272933584885e-05,
1699
+ "loss": 3.0571,
1700
+ "step": 141000
1701
+ },
1702
+ {
1703
+ "epoch": 1.45,
1704
+ "learning_rate": 2.582728378858721e-05,
1705
+ "loss": 3.0465,
1706
+ "step": 141500
1707
+ },
1708
+ {
1709
+ "epoch": 1.46,
1710
+ "learning_rate": 2.5741838241325567e-05,
1711
+ "loss": 3.0387,
1712
+ "step": 142000
1713
+ },
1714
+ {
1715
+ "epoch": 1.46,
1716
+ "learning_rate": 2.565639269406393e-05,
1717
+ "loss": 3.0624,
1718
+ "step": 142500
1719
+ },
1720
+ {
1721
+ "epoch": 1.47,
1722
+ "learning_rate": 2.5571118037896812e-05,
1723
+ "loss": 3.0421,
1724
+ "step": 143000
1725
+ },
1726
+ {
1727
+ "epoch": 1.47,
1728
+ "learning_rate": 2.548567249063517e-05,
1729
+ "loss": 3.0486,
1730
+ "step": 143500
1731
+ },
1732
+ {
1733
+ "epoch": 1.48,
1734
+ "learning_rate": 2.540022694337353e-05,
1735
+ "loss": 3.0479,
1736
+ "step": 144000
1737
+ },
1738
+ {
1739
+ "epoch": 1.48,
1740
+ "learning_rate": 2.5314781396111886e-05,
1741
+ "loss": 3.055,
1742
+ "step": 144500
1743
+ },
1744
+ {
1745
+ "epoch": 1.49,
1746
+ "learning_rate": 2.522950673994477e-05,
1747
+ "loss": 3.0396,
1748
+ "step": 145000
1749
+ },
1750
+ {
1751
+ "epoch": 1.49,
1752
+ "learning_rate": 2.5144061192683128e-05,
1753
+ "loss": 3.0608,
1754
+ "step": 145500
1755
+ },
1756
+ {
1757
+ "epoch": 1.5,
1758
+ "learning_rate": 2.505878653651601e-05,
1759
+ "loss": 3.0466,
1760
+ "step": 146000
1761
+ },
1762
+ {
1763
+ "epoch": 1.5,
1764
+ "learning_rate": 2.4973340989254366e-05,
1765
+ "loss": 3.0266,
1766
+ "step": 146500
1767
+ },
1768
+ {
1769
+ "epoch": 1.51,
1770
+ "learning_rate": 2.4887895441992728e-05,
1771
+ "loss": 3.0399,
1772
+ "step": 147000
1773
+ },
1774
+ {
1775
+ "epoch": 1.51,
1776
+ "learning_rate": 2.4802449894731086e-05,
1777
+ "loss": 3.044,
1778
+ "step": 147500
1779
+ },
1780
+ {
1781
+ "epoch": 1.52,
1782
+ "learning_rate": 2.4717004347469447e-05,
1783
+ "loss": 3.038,
1784
+ "step": 148000
1785
+ },
1786
+ {
1787
+ "epoch": 1.52,
1788
+ "learning_rate": 2.4631558800207805e-05,
1789
+ "loss": 3.0358,
1790
+ "step": 148500
1791
+ },
1792
+ {
1793
+ "epoch": 1.53,
1794
+ "learning_rate": 2.4546113252946163e-05,
1795
+ "loss": 3.042,
1796
+ "step": 149000
1797
+ },
1798
+ {
1799
+ "epoch": 1.53,
1800
+ "learning_rate": 2.446066770568452e-05,
1801
+ "loss": 3.0303,
1802
+ "step": 149500
1803
+ },
1804
+ {
1805
+ "epoch": 1.54,
1806
+ "learning_rate": 2.4375393049517405e-05,
1807
+ "loss": 3.0556,
1808
+ "step": 150000
1809
+ },
1810
+ {
1811
+ "epoch": 1.54,
1812
+ "learning_rate": 2.4289947502255763e-05,
1813
+ "loss": 3.0424,
1814
+ "step": 150500
1815
+ },
1816
+ {
1817
+ "epoch": 1.55,
1818
+ "learning_rate": 2.420450195499412e-05,
1819
+ "loss": 3.038,
1820
+ "step": 151000
1821
+ },
1822
+ {
1823
+ "epoch": 1.55,
1824
+ "learning_rate": 2.4119056407732483e-05,
1825
+ "loss": 3.0476,
1826
+ "step": 151500
1827
+ },
1828
+ {
1829
+ "epoch": 1.56,
1830
+ "learning_rate": 2.403361086047084e-05,
1831
+ "loss": 3.048,
1832
+ "step": 152000
1833
+ },
1834
+ {
1835
+ "epoch": 1.56,
1836
+ "learning_rate": 2.3948507095398246e-05,
1837
+ "loss": 3.0392,
1838
+ "step": 152500
1839
+ },
1840
+ {
1841
+ "epoch": 1.57,
1842
+ "learning_rate": 2.3863061548136605e-05,
1843
+ "loss": 3.0379,
1844
+ "step": 153000
1845
+ },
1846
+ {
1847
+ "epoch": 1.57,
1848
+ "learning_rate": 2.3777616000874963e-05,
1849
+ "loss": 3.046,
1850
+ "step": 153500
1851
+ },
1852
+ {
1853
+ "epoch": 1.58,
1854
+ "learning_rate": 2.369217045361332e-05,
1855
+ "loss": 3.0432,
1856
+ "step": 154000
1857
+ },
1858
+ {
1859
+ "epoch": 1.58,
1860
+ "learning_rate": 2.3606724906351682e-05,
1861
+ "loss": 3.0436,
1862
+ "step": 154500
1863
+ },
1864
+ {
1865
+ "epoch": 1.59,
1866
+ "learning_rate": 2.352127935909004e-05,
1867
+ "loss": 3.0397,
1868
+ "step": 155000
1869
+ },
1870
+ {
1871
+ "epoch": 1.59,
1872
+ "learning_rate": 2.3435833811828402e-05,
1873
+ "loss": 3.0425,
1874
+ "step": 155500
1875
+ },
1876
+ {
1877
+ "epoch": 1.6,
1878
+ "learning_rate": 2.335038826456676e-05,
1879
+ "loss": 3.0454,
1880
+ "step": 156000
1881
+ },
1882
+ {
1883
+ "epoch": 1.6,
1884
+ "learning_rate": 2.3264942717305114e-05,
1885
+ "loss": 3.0313,
1886
+ "step": 156500
1887
+ },
1888
+ {
1889
+ "epoch": 1.61,
1890
+ "learning_rate": 2.3179497170043476e-05,
1891
+ "loss": 3.0229,
1892
+ "step": 157000
1893
+ },
1894
+ {
1895
+ "epoch": 1.61,
1896
+ "learning_rate": 2.3094051622781834e-05,
1897
+ "loss": 3.0417,
1898
+ "step": 157500
1899
+ },
1900
+ {
1901
+ "epoch": 1.62,
1902
+ "learning_rate": 2.3008606075520195e-05,
1903
+ "loss": 3.0428,
1904
+ "step": 158000
1905
+ },
1906
+ {
1907
+ "epoch": 1.63,
1908
+ "learning_rate": 2.2923331419353076e-05,
1909
+ "loss": 3.0354,
1910
+ "step": 158500
1911
+ },
1912
+ {
1913
+ "epoch": 1.63,
1914
+ "learning_rate": 2.2837885872091437e-05,
1915
+ "loss": 3.0351,
1916
+ "step": 159000
1917
+ },
1918
+ {
1919
+ "epoch": 1.64,
1920
+ "learning_rate": 2.2752440324829792e-05,
1921
+ "loss": 3.0383,
1922
+ "step": 159500
1923
+ },
1924
+ {
1925
+ "epoch": 1.64,
1926
+ "learning_rate": 2.2667165668662675e-05,
1927
+ "loss": 3.0325,
1928
+ "step": 160000
1929
+ },
1930
+ {
1931
+ "epoch": 1.65,
1932
+ "learning_rate": 2.2581720121401033e-05,
1933
+ "loss": 3.0345,
1934
+ "step": 160500
1935
+ },
1936
+ {
1937
+ "epoch": 1.65,
1938
+ "learning_rate": 2.2496274574139395e-05,
1939
+ "loss": 3.0255,
1940
+ "step": 161000
1941
+ },
1942
+ {
1943
+ "epoch": 1.66,
1944
+ "learning_rate": 2.2410829026877753e-05,
1945
+ "loss": 3.0434,
1946
+ "step": 161500
1947
+ },
1948
+ {
1949
+ "epoch": 1.66,
1950
+ "learning_rate": 2.232538347961611e-05,
1951
+ "loss": 3.0221,
1952
+ "step": 162000
1953
+ },
1954
+ {
1955
+ "epoch": 1.67,
1956
+ "learning_rate": 2.2239937932354473e-05,
1957
+ "loss": 3.0277,
1958
+ "step": 162500
1959
+ },
1960
+ {
1961
+ "epoch": 1.67,
1962
+ "learning_rate": 2.2154492385092827e-05,
1963
+ "loss": 3.0253,
1964
+ "step": 163000
1965
+ },
1966
+ {
1967
+ "epoch": 1.68,
1968
+ "learning_rate": 2.206904683783119e-05,
1969
+ "loss": 3.0294,
1970
+ "step": 163500
1971
+ },
1972
+ {
1973
+ "epoch": 1.68,
1974
+ "learning_rate": 2.198377218166407e-05,
1975
+ "loss": 3.0334,
1976
+ "step": 164000
1977
+ },
1978
+ {
1979
+ "epoch": 1.69,
1980
+ "learning_rate": 2.189832663440243e-05,
1981
+ "loss": 3.034,
1982
+ "step": 164500
1983
+ },
1984
+ {
1985
+ "epoch": 1.69,
1986
+ "learning_rate": 2.181288108714079e-05,
1987
+ "loss": 3.0383,
1988
+ "step": 165000
1989
+ },
1990
+ {
1991
+ "epoch": 1.7,
1992
+ "learning_rate": 2.1727435539879146e-05,
1993
+ "loss": 3.0337,
1994
+ "step": 165500
1995
+ },
1996
+ {
1997
+ "epoch": 1.7,
1998
+ "learning_rate": 2.1641989992617508e-05,
1999
+ "loss": 3.0201,
2000
+ "step": 166000
2001
+ },
2002
+ {
2003
+ "epoch": 1.71,
2004
+ "learning_rate": 2.1556544445355863e-05,
2005
+ "loss": 3.0331,
2006
+ "step": 166500
2007
+ },
2008
+ {
2009
+ "epoch": 1.71,
2010
+ "learning_rate": 2.1471098898094224e-05,
2011
+ "loss": 3.0212,
2012
+ "step": 167000
2013
+ },
2014
+ {
2015
+ "epoch": 1.72,
2016
+ "learning_rate": 2.1385653350832582e-05,
2017
+ "loss": 3.0303,
2018
+ "step": 167500
2019
+ },
2020
+ {
2021
+ "epoch": 1.72,
2022
+ "learning_rate": 2.130020780357094e-05,
2023
+ "loss": 3.0309,
2024
+ "step": 168000
2025
+ },
2026
+ {
2027
+ "epoch": 1.73,
2028
+ "learning_rate": 2.1214933147403824e-05,
2029
+ "loss": 3.0221,
2030
+ "step": 168500
2031
+ },
2032
+ {
2033
+ "epoch": 1.73,
2034
+ "learning_rate": 2.1129487600142185e-05,
2035
+ "loss": 3.0169,
2036
+ "step": 169000
2037
+ },
2038
+ {
2039
+ "epoch": 1.74,
2040
+ "learning_rate": 2.104404205288054e-05,
2041
+ "loss": 3.0293,
2042
+ "step": 169500
2043
+ },
2044
+ {
2045
+ "epoch": 1.74,
2046
+ "learning_rate": 2.0958596505618898e-05,
2047
+ "loss": 3.0363,
2048
+ "step": 170000
2049
+ },
2050
+ {
2051
+ "epoch": 1.75,
2052
+ "learning_rate": 2.087332184945178e-05,
2053
+ "loss": 3.0129,
2054
+ "step": 170500
2055
+ },
2056
+ {
2057
+ "epoch": 1.75,
2058
+ "learning_rate": 2.078787630219014e-05,
2059
+ "loss": 3.0359,
2060
+ "step": 171000
2061
+ },
2062
+ {
2063
+ "epoch": 1.76,
2064
+ "learning_rate": 2.07024307549285e-05,
2065
+ "loss": 3.0324,
2066
+ "step": 171500
2067
+ },
2068
+ {
2069
+ "epoch": 1.76,
2070
+ "learning_rate": 2.061698520766686e-05,
2071
+ "loss": 3.0219,
2072
+ "step": 172000
2073
+ },
2074
+ {
2075
+ "epoch": 1.77,
2076
+ "learning_rate": 2.0531710551499743e-05,
2077
+ "loss": 3.0434,
2078
+ "step": 172500
2079
+ },
2080
+ {
2081
+ "epoch": 1.77,
2082
+ "learning_rate": 2.04462650042381e-05,
2083
+ "loss": 3.0436,
2084
+ "step": 173000
2085
+ },
2086
+ {
2087
+ "epoch": 1.78,
2088
+ "learning_rate": 2.036081945697646e-05,
2089
+ "loss": 3.0355,
2090
+ "step": 173500
2091
+ },
2092
+ {
2093
+ "epoch": 1.78,
2094
+ "learning_rate": 2.0275373909714817e-05,
2095
+ "loss": 3.0462,
2096
+ "step": 174000
2097
+ },
2098
+ {
2099
+ "epoch": 1.79,
2100
+ "learning_rate": 2.0189928362453175e-05,
2101
+ "loss": 3.0251,
2102
+ "step": 174500
2103
+ },
2104
+ {
2105
+ "epoch": 1.79,
2106
+ "learning_rate": 2.0104482815191537e-05,
2107
+ "loss": 3.0178,
2108
+ "step": 175000
2109
+ },
2110
+ {
2111
+ "epoch": 1.8,
2112
+ "learning_rate": 2.0019037267929895e-05,
2113
+ "loss": 3.0321,
2114
+ "step": 175500
2115
+ },
2116
+ {
2117
+ "epoch": 1.8,
2118
+ "learning_rate": 1.9933591720668253e-05,
2119
+ "loss": 3.0464,
2120
+ "step": 176000
2121
+ },
2122
+ {
2123
+ "epoch": 1.81,
2124
+ "learning_rate": 1.9848317064501133e-05,
2125
+ "loss": 3.0294,
2126
+ "step": 176500
2127
+ },
2128
+ {
2129
+ "epoch": 1.81,
2130
+ "learning_rate": 1.9762871517239494e-05,
2131
+ "loss": 3.0237,
2132
+ "step": 177000
2133
+ },
2134
+ {
2135
+ "epoch": 1.82,
2136
+ "learning_rate": 1.9677425969977852e-05,
2137
+ "loss": 3.0314,
2138
+ "step": 177500
2139
+ },
2140
+ {
2141
+ "epoch": 1.83,
2142
+ "learning_rate": 1.9591980422716214e-05,
2143
+ "loss": 3.0219,
2144
+ "step": 178000
2145
+ },
2146
+ {
2147
+ "epoch": 1.83,
2148
+ "learning_rate": 1.9506534875454572e-05,
2149
+ "loss": 3.0153,
2150
+ "step": 178500
2151
+ },
2152
+ {
2153
+ "epoch": 1.84,
2154
+ "learning_rate": 1.9421431110381978e-05,
2155
+ "loss": 3.018,
2156
+ "step": 179000
2157
+ },
2158
+ {
2159
+ "epoch": 1.84,
2160
+ "learning_rate": 1.9335985563120336e-05,
2161
+ "loss": 3.0142,
2162
+ "step": 179500
2163
+ },
2164
+ {
2165
+ "epoch": 1.85,
2166
+ "learning_rate": 1.9250540015858694e-05,
2167
+ "loss": 3.0281,
2168
+ "step": 180000
2169
+ },
2170
+ {
2171
+ "epoch": 1.85,
2172
+ "learning_rate": 1.9165094468597052e-05,
2173
+ "loss": 3.0175,
2174
+ "step": 180500
2175
+ },
2176
+ {
2177
+ "epoch": 1.86,
2178
+ "learning_rate": 1.9079648921335413e-05,
2179
+ "loss": 3.0225,
2180
+ "step": 181000
2181
+ },
2182
+ {
2183
+ "epoch": 1.86,
2184
+ "learning_rate": 1.899420337407377e-05,
2185
+ "loss": 3.026,
2186
+ "step": 181500
2187
+ },
2188
+ {
2189
+ "epoch": 1.87,
2190
+ "learning_rate": 1.8908928717906655e-05,
2191
+ "loss": 3.0149,
2192
+ "step": 182000
2193
+ },
2194
+ {
2195
+ "epoch": 1.87,
2196
+ "learning_rate": 1.8823483170645013e-05,
2197
+ "loss": 3.0129,
2198
+ "step": 182500
2199
+ },
2200
+ {
2201
+ "epoch": 1.88,
2202
+ "learning_rate": 1.873803762338337e-05,
2203
+ "loss": 3.0328,
2204
+ "step": 183000
2205
+ },
2206
+ {
2207
+ "epoch": 1.88,
2208
+ "learning_rate": 1.865259207612173e-05,
2209
+ "loss": 3.032,
2210
+ "step": 183500
2211
+ },
2212
+ {
2213
+ "epoch": 1.89,
2214
+ "learning_rate": 1.8567146528860087e-05,
2215
+ "loss": 3.0216,
2216
+ "step": 184000
2217
+ },
2218
+ {
2219
+ "epoch": 1.89,
2220
+ "learning_rate": 1.848170098159845e-05,
2221
+ "loss": 3.0179,
2222
+ "step": 184500
2223
+ },
2224
+ {
2225
+ "epoch": 1.9,
2226
+ "learning_rate": 1.8396255434336807e-05,
2227
+ "loss": 3.033,
2228
+ "step": 185000
2229
+ },
2230
+ {
2231
+ "epoch": 1.9,
2232
+ "learning_rate": 1.8310809887075165e-05,
2233
+ "loss": 3.01,
2234
+ "step": 185500
2235
+ },
2236
+ {
2237
+ "epoch": 1.91,
2238
+ "learning_rate": 1.822553523090805e-05,
2239
+ "loss": 3.0294,
2240
+ "step": 186000
2241
+ },
2242
+ {
2243
+ "epoch": 1.91,
2244
+ "learning_rate": 1.8140260574740932e-05,
2245
+ "loss": 3.0366,
2246
+ "step": 186500
2247
+ },
2248
+ {
2249
+ "epoch": 1.92,
2250
+ "learning_rate": 1.8054815027479287e-05,
2251
+ "loss": 3.0392,
2252
+ "step": 187000
2253
+ },
2254
+ {
2255
+ "epoch": 1.92,
2256
+ "learning_rate": 1.7969369480217648e-05,
2257
+ "loss": 3.0288,
2258
+ "step": 187500
2259
+ },
2260
+ {
2261
+ "epoch": 1.93,
2262
+ "learning_rate": 1.7883923932956006e-05,
2263
+ "loss": 3.0142,
2264
+ "step": 188000
2265
+ },
2266
+ {
2267
+ "epoch": 1.93,
2268
+ "learning_rate": 1.7798478385694364e-05,
2269
+ "loss": 3.0021,
2270
+ "step": 188500
2271
+ },
2272
+ {
2273
+ "epoch": 1.94,
2274
+ "learning_rate": 1.7713032838432726e-05,
2275
+ "loss": 3.0224,
2276
+ "step": 189000
2277
+ },
2278
+ {
2279
+ "epoch": 1.94,
2280
+ "learning_rate": 1.7627587291171084e-05,
2281
+ "loss": 3.028,
2282
+ "step": 189500
2283
+ },
2284
+ {
2285
+ "epoch": 1.95,
2286
+ "learning_rate": 1.7542141743909442e-05,
2287
+ "loss": 3.033,
2288
+ "step": 190000
2289
+ },
2290
+ {
2291
+ "epoch": 1.95,
2292
+ "learning_rate": 1.7456867087742322e-05,
2293
+ "loss": 3.0213,
2294
+ "step": 190500
2295
+ },
2296
+ {
2297
+ "epoch": 1.96,
2298
+ "learning_rate": 1.7371421540480684e-05,
2299
+ "loss": 3.0241,
2300
+ "step": 191000
2301
+ },
2302
+ {
2303
+ "epoch": 1.96,
2304
+ "learning_rate": 1.728597599321904e-05,
2305
+ "loss": 3.0286,
2306
+ "step": 191500
2307
+ },
2308
+ {
2309
+ "epoch": 1.97,
2310
+ "learning_rate": 1.7200530445957403e-05,
2311
+ "loss": 3.0215,
2312
+ "step": 192000
2313
+ },
2314
+ {
2315
+ "epoch": 1.97,
2316
+ "learning_rate": 1.711508489869576e-05,
2317
+ "loss": 3.0168,
2318
+ "step": 192500
2319
+ },
2320
+ {
2321
+ "epoch": 1.98,
2322
+ "learning_rate": 1.7029810242528645e-05,
2323
+ "loss": 3.0193,
2324
+ "step": 193000
2325
+ },
2326
+ {
2327
+ "epoch": 1.98,
2328
+ "learning_rate": 1.6944364695267e-05,
2329
+ "loss": 3.0237,
2330
+ "step": 193500
2331
+ },
2332
+ {
2333
+ "epoch": 1.99,
2334
+ "learning_rate": 1.6858919148005358e-05,
2335
+ "loss": 3.0177,
2336
+ "step": 194000
2337
+ },
2338
+ {
2339
+ "epoch": 1.99,
2340
+ "learning_rate": 1.677347360074372e-05,
2341
+ "loss": 3.0329,
2342
+ "step": 194500
2343
+ },
2344
+ {
2345
+ "epoch": 2.0,
2346
+ "learning_rate": 1.6688028053482077e-05,
2347
+ "loss": 3.0101,
2348
+ "step": 195000
2349
+ },
2350
+ {
2351
+ "epoch": 2.0,
2352
+ "learning_rate": 1.660275339731496e-05,
2353
+ "loss": 3.0115,
2354
+ "step": 195500
2355
+ },
2356
+ {
2357
+ "epoch": 2.01,
2358
+ "learning_rate": 1.651730785005332e-05,
2359
+ "loss": 3.0242,
2360
+ "step": 196000
2361
+ },
2362
+ {
2363
+ "epoch": 2.01,
2364
+ "learning_rate": 1.6431862302791677e-05,
2365
+ "loss": 3.002,
2366
+ "step": 196500
2367
+ },
2368
+ {
2369
+ "epoch": 2.02,
2370
+ "learning_rate": 1.6346416755530035e-05,
2371
+ "loss": 2.9974,
2372
+ "step": 197000
2373
+ },
2374
+ {
2375
+ "epoch": 2.03,
2376
+ "learning_rate": 1.6260971208268396e-05,
2377
+ "loss": 3.0068,
2378
+ "step": 197500
2379
+ },
2380
+ {
2381
+ "epoch": 2.03,
2382
+ "learning_rate": 1.6175696552101277e-05,
2383
+ "loss": 3.009,
2384
+ "step": 198000
2385
+ },
2386
+ {
2387
+ "epoch": 2.04,
2388
+ "learning_rate": 1.609042189593416e-05,
2389
+ "loss": 2.9938,
2390
+ "step": 198500
2391
+ },
2392
+ {
2393
+ "epoch": 2.04,
2394
+ "learning_rate": 1.6004976348672518e-05,
2395
+ "loss": 3.0221,
2396
+ "step": 199000
2397
+ },
2398
+ {
2399
+ "epoch": 2.05,
2400
+ "learning_rate": 1.591953080141088e-05,
2401
+ "loss": 3.001,
2402
+ "step": 199500
2403
+ },
2404
+ {
2405
+ "epoch": 2.05,
2406
+ "learning_rate": 1.5834085254149238e-05,
2407
+ "loss": 3.0025,
2408
+ "step": 200000
2409
+ },
2410
+ {
2411
+ "epoch": 2.06,
2412
+ "learning_rate": 1.5748639706887592e-05,
2413
+ "loss": 2.994,
2414
+ "step": 200500
2415
+ },
2416
+ {
2417
+ "epoch": 2.06,
2418
+ "learning_rate": 1.5663194159625954e-05,
2419
+ "loss": 3.0117,
2420
+ "step": 201000
2421
+ },
2422
+ {
2423
+ "epoch": 2.07,
2424
+ "learning_rate": 1.5577748612364312e-05,
2425
+ "loss": 3.0014,
2426
+ "step": 201500
2427
+ },
2428
+ {
2429
+ "epoch": 2.07,
2430
+ "learning_rate": 1.5492303065102673e-05,
2431
+ "loss": 2.9978,
2432
+ "step": 202000
2433
+ },
2434
+ {
2435
+ "epoch": 2.08,
2436
+ "learning_rate": 1.540685751784103e-05,
2437
+ "loss": 2.999,
2438
+ "step": 202500
2439
+ },
2440
+ {
2441
+ "epoch": 2.08,
2442
+ "learning_rate": 1.5321582861673915e-05,
2443
+ "loss": 3.0163,
2444
+ "step": 203000
2445
+ },
2446
+ {
2447
+ "epoch": 2.09,
2448
+ "learning_rate": 1.5236137314412271e-05,
2449
+ "loss": 3.014,
2450
+ "step": 203500
2451
+ },
2452
+ {
2453
+ "epoch": 2.09,
2454
+ "learning_rate": 1.5150691767150633e-05,
2455
+ "loss": 2.9924,
2456
+ "step": 204000
2457
+ },
2458
+ {
2459
+ "epoch": 2.1,
2460
+ "learning_rate": 1.506524621988899e-05,
2461
+ "loss": 3.0152,
2462
+ "step": 204500
2463
+ },
2464
+ {
2465
+ "epoch": 2.1,
2466
+ "learning_rate": 1.4979800672627347e-05,
2467
+ "loss": 2.9974,
2468
+ "step": 205000
2469
+ },
2470
+ {
2471
+ "epoch": 2.11,
2472
+ "learning_rate": 1.4894355125365709e-05,
2473
+ "loss": 3.0066,
2474
+ "step": 205500
2475
+ },
2476
+ {
2477
+ "epoch": 2.11,
2478
+ "learning_rate": 1.4809080469198589e-05,
2479
+ "loss": 2.9912,
2480
+ "step": 206000
2481
+ },
2482
+ {
2483
+ "epoch": 2.12,
2484
+ "learning_rate": 1.4723805813031471e-05,
2485
+ "loss": 3.0037,
2486
+ "step": 206500
2487
+ },
2488
+ {
2489
+ "epoch": 2.12,
2490
+ "learning_rate": 1.4638360265769832e-05,
2491
+ "loss": 3.0103,
2492
+ "step": 207000
2493
+ },
2494
+ {
2495
+ "epoch": 2.13,
2496
+ "learning_rate": 1.455291471850819e-05,
2497
+ "loss": 2.9896,
2498
+ "step": 207500
2499
+ },
2500
+ {
2501
+ "epoch": 2.13,
2502
+ "learning_rate": 1.4467469171246548e-05,
2503
+ "loss": 3.0116,
2504
+ "step": 208000
2505
+ },
2506
+ {
2507
+ "epoch": 2.14,
2508
+ "learning_rate": 1.4382023623984908e-05,
2509
+ "loss": 2.9955,
2510
+ "step": 208500
2511
+ },
2512
+ {
2513
+ "epoch": 2.14,
2514
+ "learning_rate": 1.4296578076723266e-05,
2515
+ "loss": 2.9942,
2516
+ "step": 209000
2517
+ },
2518
+ {
2519
+ "epoch": 2.15,
2520
+ "learning_rate": 1.4211132529461626e-05,
2521
+ "loss": 3.0063,
2522
+ "step": 209500
2523
+ },
2524
+ {
2525
+ "epoch": 2.15,
2526
+ "learning_rate": 1.4125686982199984e-05,
2527
+ "loss": 2.9989,
2528
+ "step": 210000
2529
+ },
2530
+ {
2531
+ "epoch": 2.16,
2532
+ "learning_rate": 1.4040241434938342e-05,
2533
+ "loss": 2.9947,
2534
+ "step": 210500
2535
+ },
2536
+ {
2537
+ "epoch": 2.16,
2538
+ "learning_rate": 1.3954795887676702e-05,
2539
+ "loss": 3.0103,
2540
+ "step": 211000
2541
+ },
2542
+ {
2543
+ "epoch": 2.17,
2544
+ "learning_rate": 1.3869521231509582e-05,
2545
+ "loss": 3.0076,
2546
+ "step": 211500
2547
+ },
2548
+ {
2549
+ "epoch": 2.17,
2550
+ "learning_rate": 1.3784075684247944e-05,
2551
+ "loss": 3.0042,
2552
+ "step": 212000
2553
+ },
2554
+ {
2555
+ "epoch": 2.18,
2556
+ "learning_rate": 1.3698630136986302e-05,
2557
+ "loss": 2.995,
2558
+ "step": 212500
2559
+ },
2560
+ {
2561
+ "epoch": 2.18,
2562
+ "learning_rate": 1.3613184589724662e-05,
2563
+ "loss": 2.99,
2564
+ "step": 213000
2565
+ },
2566
+ {
2567
+ "epoch": 2.19,
2568
+ "learning_rate": 1.352773904246302e-05,
2569
+ "loss": 3.0179,
2570
+ "step": 213500
2571
+ },
2572
+ {
2573
+ "epoch": 2.19,
2574
+ "learning_rate": 1.3442293495201378e-05,
2575
+ "loss": 2.9983,
2576
+ "step": 214000
2577
+ },
2578
+ {
2579
+ "epoch": 2.2,
2580
+ "learning_rate": 1.3356847947939737e-05,
2581
+ "loss": 3.004,
2582
+ "step": 214500
2583
+ },
2584
+ {
2585
+ "epoch": 2.2,
2586
+ "learning_rate": 1.3271573291772621e-05,
2587
+ "loss": 2.9958,
2588
+ "step": 215000
2589
+ },
2590
+ {
2591
+ "epoch": 2.21,
2592
+ "learning_rate": 1.3186127744510979e-05,
2593
+ "loss": 3.0041,
2594
+ "step": 215500
2595
+ },
2596
+ {
2597
+ "epoch": 2.21,
2598
+ "learning_rate": 1.3100682197249337e-05,
2599
+ "loss": 3.0125,
2600
+ "step": 216000
2601
+ },
2602
+ {
2603
+ "epoch": 2.22,
2604
+ "learning_rate": 1.3015236649987697e-05,
2605
+ "loss": 3.0022,
2606
+ "step": 216500
2607
+ },
2608
+ {
2609
+ "epoch": 2.23,
2610
+ "learning_rate": 1.2929791102726055e-05,
2611
+ "loss": 3.0062,
2612
+ "step": 217000
2613
+ },
2614
+ {
2615
+ "epoch": 2.23,
2616
+ "learning_rate": 1.2844516446558939e-05,
2617
+ "loss": 3.0123,
2618
+ "step": 217500
2619
+ },
2620
+ {
2621
+ "epoch": 2.24,
2622
+ "learning_rate": 1.275924179039182e-05,
2623
+ "loss": 2.9988,
2624
+ "step": 218000
2625
+ },
2626
+ {
2627
+ "epoch": 2.24,
2628
+ "learning_rate": 1.2673796243130179e-05,
2629
+ "loss": 3.0072,
2630
+ "step": 218500
2631
+ },
2632
+ {
2633
+ "epoch": 2.25,
2634
+ "learning_rate": 1.2588350695868537e-05,
2635
+ "loss": 2.9979,
2636
+ "step": 219000
2637
+ },
2638
+ {
2639
+ "epoch": 2.25,
2640
+ "learning_rate": 1.2502905148606896e-05,
2641
+ "loss": 2.9923,
2642
+ "step": 219500
2643
+ },
2644
+ {
2645
+ "epoch": 2.26,
2646
+ "learning_rate": 1.2417459601345254e-05,
2647
+ "loss": 3.0027,
2648
+ "step": 220000
2649
+ },
2650
+ {
2651
+ "epoch": 2.26,
2652
+ "learning_rate": 1.2332014054083614e-05,
2653
+ "loss": 2.9938,
2654
+ "step": 220500
2655
+ },
2656
+ {
2657
+ "epoch": 2.27,
2658
+ "learning_rate": 1.2246568506821974e-05,
2659
+ "loss": 2.9908,
2660
+ "step": 221000
2661
+ },
2662
+ {
2663
+ "epoch": 2.27,
2664
+ "learning_rate": 1.2161122959560332e-05,
2665
+ "loss": 3.0022,
2666
+ "step": 221500
2667
+ },
2668
+ {
2669
+ "epoch": 2.28,
2670
+ "learning_rate": 1.2075848303393214e-05,
2671
+ "loss": 2.9952,
2672
+ "step": 222000
2673
+ },
2674
+ {
2675
+ "epoch": 2.28,
2676
+ "learning_rate": 1.1990402756131574e-05,
2677
+ "loss": 3.0089,
2678
+ "step": 222500
2679
+ },
2680
+ {
2681
+ "epoch": 2.29,
2682
+ "learning_rate": 1.1904957208869932e-05,
2683
+ "loss": 3.0001,
2684
+ "step": 223000
2685
+ },
2686
+ {
2687
+ "epoch": 2.29,
2688
+ "learning_rate": 1.181951166160829e-05,
2689
+ "loss": 2.9888,
2690
+ "step": 223500
2691
+ },
2692
+ {
2693
+ "epoch": 2.3,
2694
+ "learning_rate": 1.1734237005441173e-05,
2695
+ "loss": 3.0018,
2696
+ "step": 224000
2697
+ },
2698
+ {
2699
+ "epoch": 2.3,
2700
+ "learning_rate": 1.1648791458179533e-05,
2701
+ "loss": 2.9915,
2702
+ "step": 224500
2703
+ },
2704
+ {
2705
+ "epoch": 2.31,
2706
+ "learning_rate": 1.156334591091789e-05,
2707
+ "loss": 2.9905,
2708
+ "step": 225000
2709
+ },
2710
+ {
2711
+ "epoch": 2.31,
2712
+ "learning_rate": 1.147790036365625e-05,
2713
+ "loss": 2.9962,
2714
+ "step": 225500
2715
+ },
2716
+ {
2717
+ "epoch": 2.32,
2718
+ "learning_rate": 1.1392625707489133e-05,
2719
+ "loss": 2.9813,
2720
+ "step": 226000
2721
+ },
2722
+ {
2723
+ "epoch": 2.32,
2724
+ "learning_rate": 1.1307180160227491e-05,
2725
+ "loss": 2.9983,
2726
+ "step": 226500
2727
+ },
2728
+ {
2729
+ "epoch": 2.33,
2730
+ "learning_rate": 1.1221734612965849e-05,
2731
+ "loss": 3.0039,
2732
+ "step": 227000
2733
+ },
2734
+ {
2735
+ "epoch": 2.33,
2736
+ "learning_rate": 1.1136289065704209e-05,
2737
+ "loss": 3.0069,
2738
+ "step": 227500
2739
+ },
2740
+ {
2741
+ "epoch": 2.34,
2742
+ "learning_rate": 1.1050843518442567e-05,
2743
+ "loss": 2.9831,
2744
+ "step": 228000
2745
+ },
2746
+ {
2747
+ "epoch": 2.34,
2748
+ "learning_rate": 1.0965568862275449e-05,
2749
+ "loss": 2.9884,
2750
+ "step": 228500
2751
+ },
2752
+ {
2753
+ "epoch": 2.35,
2754
+ "learning_rate": 1.0880123315013809e-05,
2755
+ "loss": 2.9754,
2756
+ "step": 229000
2757
+ },
2758
+ {
2759
+ "epoch": 2.35,
2760
+ "learning_rate": 1.0794677767752168e-05,
2761
+ "loss": 3.0021,
2762
+ "step": 229500
2763
+ },
2764
+ {
2765
+ "epoch": 2.36,
2766
+ "learning_rate": 1.0709232220490526e-05,
2767
+ "loss": 2.9892,
2768
+ "step": 230000
2769
+ },
2770
+ {
2771
+ "epoch": 2.36,
2772
+ "learning_rate": 1.0623786673228884e-05,
2773
+ "loss": 2.9917,
2774
+ "step": 230500
2775
+ },
2776
+ {
2777
+ "epoch": 2.37,
2778
+ "learning_rate": 1.0538341125967244e-05,
2779
+ "loss": 2.998,
2780
+ "step": 231000
2781
+ },
2782
+ {
2783
+ "epoch": 2.37,
2784
+ "learning_rate": 1.0452895578705602e-05,
2785
+ "loss": 2.9833,
2786
+ "step": 231500
2787
+ },
2788
+ {
2789
+ "epoch": 2.38,
2790
+ "learning_rate": 1.0367450031443962e-05,
2791
+ "loss": 2.9971,
2792
+ "step": 232000
2793
+ },
2794
+ {
2795
+ "epoch": 2.38,
2796
+ "learning_rate": 1.0282175375276844e-05,
2797
+ "loss": 2.9786,
2798
+ "step": 232500
2799
+ },
2800
+ {
2801
+ "epoch": 2.39,
2802
+ "learning_rate": 1.0196729828015204e-05,
2803
+ "loss": 2.989,
2804
+ "step": 233000
2805
+ },
2806
+ {
2807
+ "epoch": 2.39,
2808
+ "learning_rate": 1.0111284280753562e-05,
2809
+ "loss": 2.9926,
2810
+ "step": 233500
2811
+ },
2812
+ {
2813
+ "epoch": 2.4,
2814
+ "learning_rate": 1.0025838733491922e-05,
2815
+ "loss": 2.9961,
2816
+ "step": 234000
2817
+ },
2818
+ {
2819
+ "epoch": 2.4,
2820
+ "learning_rate": 9.94039318623028e-06,
2821
+ "loss": 2.9916,
2822
+ "step": 234500
2823
+ },
2824
+ {
2825
+ "epoch": 2.41,
2826
+ "learning_rate": 9.854947638968638e-06,
2827
+ "loss": 2.9876,
2828
+ "step": 235000
2829
+ },
2830
+ {
2831
+ "epoch": 2.41,
2832
+ "learning_rate": 9.769843873896043e-06,
2833
+ "loss": 2.996,
2834
+ "step": 235500
2835
+ },
2836
+ {
2837
+ "epoch": 2.42,
2838
+ "learning_rate": 9.684398326634403e-06,
2839
+ "loss": 2.9994,
2840
+ "step": 236000
2841
+ },
2842
+ {
2843
+ "epoch": 2.42,
2844
+ "learning_rate": 9.598952779372763e-06,
2845
+ "loss": 2.9965,
2846
+ "step": 236500
2847
+ },
2848
+ {
2849
+ "epoch": 2.43,
2850
+ "learning_rate": 9.513507232111121e-06,
2851
+ "loss": 2.997,
2852
+ "step": 237000
2853
+ },
2854
+ {
2855
+ "epoch": 2.44,
2856
+ "learning_rate": 9.428061684849479e-06,
2857
+ "loss": 2.9894,
2858
+ "step": 237500
2859
+ },
2860
+ {
2861
+ "epoch": 2.44,
2862
+ "learning_rate": 9.342616137587839e-06,
2863
+ "loss": 3.0015,
2864
+ "step": 238000
2865
+ },
2866
+ {
2867
+ "epoch": 2.45,
2868
+ "learning_rate": 9.257170590326197e-06,
2869
+ "loss": 2.9954,
2870
+ "step": 238500
2871
+ },
2872
+ {
2873
+ "epoch": 2.45,
2874
+ "learning_rate": 9.171725043064557e-06,
2875
+ "loss": 2.9944,
2876
+ "step": 239000
2877
+ },
2878
+ {
2879
+ "epoch": 2.46,
2880
+ "learning_rate": 9.086279495802916e-06,
2881
+ "loss": 2.9938,
2882
+ "step": 239500
2883
+ },
2884
+ {
2885
+ "epoch": 2.46,
2886
+ "learning_rate": 9.000833948541273e-06,
2887
+ "loss": 3.0076,
2888
+ "step": 240000
2889
+ },
2890
+ {
2891
+ "epoch": 2.47,
2892
+ "learning_rate": 8.915388401279633e-06,
2893
+ "loss": 3.0041,
2894
+ "step": 240500
2895
+ },
2896
+ {
2897
+ "epoch": 2.47,
2898
+ "learning_rate": 8.830113745112516e-06,
2899
+ "loss": 2.9965,
2900
+ "step": 241000
2901
+ },
2902
+ {
2903
+ "epoch": 2.48,
2904
+ "learning_rate": 8.744668197850874e-06,
2905
+ "loss": 3.003,
2906
+ "step": 241500
2907
+ },
2908
+ {
2909
+ "epoch": 2.48,
2910
+ "learning_rate": 8.659222650589232e-06,
2911
+ "loss": 2.9935,
2912
+ "step": 242000
2913
+ },
2914
+ {
2915
+ "epoch": 2.49,
2916
+ "learning_rate": 8.573777103327592e-06,
2917
+ "loss": 2.9944,
2918
+ "step": 242500
2919
+ },
2920
+ {
2921
+ "epoch": 2.49,
2922
+ "learning_rate": 8.488502447160474e-06,
2923
+ "loss": 3.0002,
2924
+ "step": 243000
2925
+ },
2926
+ {
2927
+ "epoch": 2.5,
2928
+ "learning_rate": 8.403056899898832e-06,
2929
+ "loss": 2.976,
2930
+ "step": 243500
2931
+ },
2932
+ {
2933
+ "epoch": 2.5,
2934
+ "learning_rate": 8.317611352637192e-06,
2935
+ "loss": 2.9861,
2936
+ "step": 244000
2937
+ },
2938
+ {
2939
+ "epoch": 2.51,
2940
+ "learning_rate": 8.232336696470074e-06,
2941
+ "loss": 2.9925,
2942
+ "step": 244500
2943
+ },
2944
+ {
2945
+ "epoch": 2.51,
2946
+ "learning_rate": 8.146891149208433e-06,
2947
+ "loss": 2.9808,
2948
+ "step": 245000
2949
+ },
2950
+ {
2951
+ "epoch": 2.52,
2952
+ "learning_rate": 8.061445601946792e-06,
2953
+ "loss": 2.9895,
2954
+ "step": 245500
2955
+ },
2956
+ {
2957
+ "epoch": 2.52,
2958
+ "learning_rate": 7.976000054685151e-06,
2959
+ "loss": 3.0043,
2960
+ "step": 246000
2961
+ },
2962
+ {
2963
+ "epoch": 2.53,
2964
+ "learning_rate": 7.89055450742351e-06,
2965
+ "loss": 2.9998,
2966
+ "step": 246500
2967
+ },
2968
+ {
2969
+ "epoch": 2.53,
2970
+ "learning_rate": 7.805108960161867e-06,
2971
+ "loss": 2.9981,
2972
+ "step": 247000
2973
+ },
2974
+ {
2975
+ "epoch": 2.54,
2976
+ "learning_rate": 7.719663412900227e-06,
2977
+ "loss": 2.9903,
2978
+ "step": 247500
2979
+ },
2980
+ {
2981
+ "epoch": 2.54,
2982
+ "learning_rate": 7.634217865638587e-06,
2983
+ "loss": 3.0037,
2984
+ "step": 248000
2985
+ },
2986
+ {
2987
+ "epoch": 2.55,
2988
+ "learning_rate": 7.548772318376945e-06,
2989
+ "loss": 2.9895,
2990
+ "step": 248500
2991
+ },
2992
+ {
2993
+ "epoch": 2.55,
2994
+ "learning_rate": 7.463497662209827e-06,
2995
+ "loss": 2.9751,
2996
+ "step": 249000
2997
+ },
2998
+ {
2999
+ "epoch": 2.56,
3000
+ "learning_rate": 7.378052114948186e-06,
3001
+ "loss": 3.0095,
3002
+ "step": 249500
3003
+ },
3004
+ {
3005
+ "epoch": 2.56,
3006
+ "learning_rate": 7.292606567686546e-06,
3007
+ "loss": 3.0019,
3008
+ "step": 250000
3009
+ },
3010
+ {
3011
+ "epoch": 2.57,
3012
+ "learning_rate": 7.207161020424905e-06,
3013
+ "loss": 2.9831,
3014
+ "step": 250500
3015
+ },
3016
+ {
3017
+ "epoch": 2.57,
3018
+ "learning_rate": 7.1218863642577865e-06,
3019
+ "loss": 2.9905,
3020
+ "step": 251000
3021
+ },
3022
+ {
3023
+ "epoch": 2.58,
3024
+ "learning_rate": 7.036440816996145e-06,
3025
+ "loss": 2.9734,
3026
+ "step": 251500
3027
+ },
3028
+ {
3029
+ "epoch": 2.58,
3030
+ "learning_rate": 6.950995269734504e-06,
3031
+ "loss": 2.9781,
3032
+ "step": 252000
3033
+ },
3034
+ {
3035
+ "epoch": 2.59,
3036
+ "learning_rate": 6.865549722472862e-06,
3037
+ "loss": 2.9798,
3038
+ "step": 252500
3039
+ },
3040
+ {
3041
+ "epoch": 2.59,
3042
+ "learning_rate": 6.780104175211221e-06,
3043
+ "loss": 2.9919,
3044
+ "step": 253000
3045
+ },
3046
+ {
3047
+ "epoch": 2.6,
3048
+ "learning_rate": 6.694658627949581e-06,
3049
+ "loss": 2.9718,
3050
+ "step": 253500
3051
+ },
3052
+ {
3053
+ "epoch": 2.6,
3054
+ "learning_rate": 6.60921308068794e-06,
3055
+ "loss": 2.991,
3056
+ "step": 254000
3057
+ },
3058
+ {
3059
+ "epoch": 2.61,
3060
+ "learning_rate": 6.523767533426299e-06,
3061
+ "loss": 2.9908,
3062
+ "step": 254500
3063
+ },
3064
+ {
3065
+ "epoch": 2.61,
3066
+ "learning_rate": 6.438492877259181e-06,
3067
+ "loss": 3.0,
3068
+ "step": 255000
3069
+ },
3070
+ {
3071
+ "epoch": 2.62,
3072
+ "learning_rate": 6.35304732999754e-06,
3073
+ "loss": 2.9851,
3074
+ "step": 255500
3075
+ },
3076
+ {
3077
+ "epoch": 2.62,
3078
+ "learning_rate": 6.267601782735899e-06,
3079
+ "loss": 3.009,
3080
+ "step": 256000
3081
+ },
3082
+ {
3083
+ "epoch": 2.63,
3084
+ "learning_rate": 6.182156235474258e-06,
3085
+ "loss": 2.9899,
3086
+ "step": 256500
3087
+ },
3088
+ {
3089
+ "epoch": 2.64,
3090
+ "learning_rate": 6.096710688212616e-06,
3091
+ "loss": 2.9888,
3092
+ "step": 257000
3093
+ },
3094
+ {
3095
+ "epoch": 2.64,
3096
+ "learning_rate": 6.011436032045498e-06,
3097
+ "loss": 2.9916,
3098
+ "step": 257500
3099
+ },
3100
+ {
3101
+ "epoch": 2.65,
3102
+ "learning_rate": 5.925990484783857e-06,
3103
+ "loss": 2.9975,
3104
+ "step": 258000
3105
+ },
3106
+ {
3107
+ "epoch": 2.65,
3108
+ "learning_rate": 5.840544937522216e-06,
3109
+ "loss": 2.9845,
3110
+ "step": 258500
3111
+ },
3112
+ {
3113
+ "epoch": 2.66,
3114
+ "learning_rate": 5.755270281355098e-06,
3115
+ "loss": 2.9899,
3116
+ "step": 259000
3117
+ },
3118
+ {
3119
+ "epoch": 2.66,
3120
+ "learning_rate": 5.669824734093458e-06,
3121
+ "loss": 3.0112,
3122
+ "step": 259500
3123
+ },
3124
+ {
3125
+ "epoch": 2.67,
3126
+ "learning_rate": 5.584379186831816e-06,
3127
+ "loss": 2.9947,
3128
+ "step": 260000
3129
+ },
3130
+ {
3131
+ "epoch": 2.67,
3132
+ "learning_rate": 5.498933639570175e-06,
3133
+ "loss": 2.9966,
3134
+ "step": 260500
3135
+ },
3136
+ {
3137
+ "epoch": 2.68,
3138
+ "learning_rate": 5.413488092308534e-06,
3139
+ "loss": 3.0007,
3140
+ "step": 261000
3141
+ },
3142
+ {
3143
+ "epoch": 2.68,
3144
+ "learning_rate": 5.328042545046893e-06,
3145
+ "loss": 2.9996,
3146
+ "step": 261500
3147
+ },
3148
+ {
3149
+ "epoch": 2.69,
3150
+ "learning_rate": 5.242596997785252e-06,
3151
+ "loss": 2.9927,
3152
+ "step": 262000
3153
+ },
3154
+ {
3155
+ "epoch": 2.69,
3156
+ "learning_rate": 5.1571514505236106e-06,
3157
+ "loss": 2.985,
3158
+ "step": 262500
3159
+ },
3160
+ {
3161
+ "epoch": 2.7,
3162
+ "learning_rate": 5.0718767943564924e-06,
3163
+ "loss": 2.9818,
3164
+ "step": 263000
3165
+ },
3166
+ {
3167
+ "epoch": 2.7,
3168
+ "learning_rate": 4.986431247094852e-06,
3169
+ "loss": 2.9953,
3170
+ "step": 263500
3171
+ },
3172
+ {
3173
+ "epoch": 2.71,
3174
+ "learning_rate": 4.90098569983321e-06,
3175
+ "loss": 2.987,
3176
+ "step": 264000
3177
+ },
3178
+ {
3179
+ "epoch": 2.71,
3180
+ "learning_rate": 4.815540152571569e-06,
3181
+ "loss": 2.9929,
3182
+ "step": 264500
3183
+ },
3184
+ {
3185
+ "epoch": 2.72,
3186
+ "learning_rate": 4.730265496404451e-06,
3187
+ "loss": 2.9898,
3188
+ "step": 265000
3189
+ },
3190
+ {
3191
+ "epoch": 2.72,
3192
+ "learning_rate": 4.644819949142811e-06,
3193
+ "loss": 2.994,
3194
+ "step": 265500
3195
+ },
3196
+ {
3197
+ "epoch": 2.73,
3198
+ "learning_rate": 4.55937440188117e-06,
3199
+ "loss": 2.9936,
3200
+ "step": 266000
3201
+ },
3202
+ {
3203
+ "epoch": 2.73,
3204
+ "learning_rate": 4.473928854619528e-06,
3205
+ "loss": 3.0111,
3206
+ "step": 266500
3207
+ },
3208
+ {
3209
+ "epoch": 2.74,
3210
+ "learning_rate": 4.388483307357888e-06,
3211
+ "loss": 2.9822,
3212
+ "step": 267000
3213
+ },
3214
+ {
3215
+ "epoch": 2.74,
3216
+ "learning_rate": 4.3032086511907695e-06,
3217
+ "loss": 2.9807,
3218
+ "step": 267500
3219
+ },
3220
+ {
3221
+ "epoch": 2.75,
3222
+ "learning_rate": 4.217763103929128e-06,
3223
+ "loss": 2.9816,
3224
+ "step": 268000
3225
+ },
3226
+ {
3227
+ "epoch": 2.75,
3228
+ "learning_rate": 4.132317556667487e-06,
3229
+ "loss": 2.9889,
3230
+ "step": 268500
3231
+ },
3232
+ {
3233
+ "epoch": 2.76,
3234
+ "learning_rate": 4.046872009405845e-06,
3235
+ "loss": 2.9941,
3236
+ "step": 269000
3237
+ },
3238
+ {
3239
+ "epoch": 2.76,
3240
+ "learning_rate": 3.961426462144205e-06,
3241
+ "loss": 2.9986,
3242
+ "step": 269500
3243
+ },
3244
+ {
3245
+ "epoch": 2.77,
3246
+ "learning_rate": 3.876151805977087e-06,
3247
+ "loss": 2.9774,
3248
+ "step": 270000
3249
+ },
3250
+ {
3251
+ "epoch": 2.77,
3252
+ "learning_rate": 3.7907062587154456e-06,
3253
+ "loss": 2.9729,
3254
+ "step": 270500
3255
+ },
3256
+ {
3257
+ "epoch": 2.78,
3258
+ "learning_rate": 3.7054316025483283e-06,
3259
+ "loss": 2.9833,
3260
+ "step": 271000
3261
+ },
3262
+ {
3263
+ "epoch": 2.78,
3264
+ "learning_rate": 3.619986055286687e-06,
3265
+ "loss": 2.9837,
3266
+ "step": 271500
3267
+ },
3268
+ {
3269
+ "epoch": 2.79,
3270
+ "learning_rate": 3.5345405080250457e-06,
3271
+ "loss": 2.9881,
3272
+ "step": 272000
3273
+ },
3274
+ {
3275
+ "epoch": 2.79,
3276
+ "learning_rate": 3.449094960763405e-06,
3277
+ "loss": 2.9795,
3278
+ "step": 272500
3279
+ },
3280
+ {
3281
+ "epoch": 2.8,
3282
+ "learning_rate": 3.363649413501764e-06,
3283
+ "loss": 2.9806,
3284
+ "step": 273000
3285
+ },
3286
+ {
3287
+ "epoch": 2.8,
3288
+ "learning_rate": 3.2782038662401225e-06,
3289
+ "loss": 2.9997,
3290
+ "step": 273500
3291
+ },
3292
+ {
3293
+ "epoch": 2.81,
3294
+ "learning_rate": 3.192758318978482e-06,
3295
+ "loss": 2.9997,
3296
+ "step": 274000
3297
+ },
3298
+ {
3299
+ "epoch": 2.81,
3300
+ "learning_rate": 3.1073127717168403e-06,
3301
+ "loss": 2.9724,
3302
+ "step": 274500
3303
+ },
3304
+ {
3305
+ "epoch": 2.82,
3306
+ "learning_rate": 3.0218672244551992e-06,
3307
+ "loss": 2.9822,
3308
+ "step": 275000
3309
+ },
3310
+ {
3311
+ "epoch": 2.82,
3312
+ "learning_rate": 2.9365925682880815e-06,
3313
+ "loss": 2.9985,
3314
+ "step": 275500
3315
+ },
3316
+ {
3317
+ "epoch": 2.83,
3318
+ "learning_rate": 2.8511470210264405e-06,
3319
+ "loss": 2.9753,
3320
+ "step": 276000
3321
+ },
3322
+ {
3323
+ "epoch": 2.84,
3324
+ "learning_rate": 2.7657014737647994e-06,
3325
+ "loss": 3.0126,
3326
+ "step": 276500
3327
+ },
3328
+ {
3329
+ "epoch": 2.84,
3330
+ "learning_rate": 2.6802559265031583e-06,
3331
+ "loss": 2.9844,
3332
+ "step": 277000
3333
+ },
3334
+ {
3335
+ "epoch": 2.85,
3336
+ "learning_rate": 2.594810379241517e-06,
3337
+ "loss": 2.9867,
3338
+ "step": 277500
3339
+ },
3340
+ {
3341
+ "epoch": 2.85,
3342
+ "learning_rate": 2.5095357230743995e-06,
3343
+ "loss": 2.9821,
3344
+ "step": 278000
3345
+ },
3346
+ {
3347
+ "epoch": 2.86,
3348
+ "learning_rate": 2.424090175812758e-06,
3349
+ "loss": 3.0027,
3350
+ "step": 278500
3351
+ },
3352
+ {
3353
+ "epoch": 2.86,
3354
+ "learning_rate": 2.338644628551117e-06,
3355
+ "loss": 2.9909,
3356
+ "step": 279000
3357
+ },
3358
+ {
3359
+ "epoch": 2.87,
3360
+ "learning_rate": 2.2535408634785226e-06,
3361
+ "loss": 2.9832,
3362
+ "step": 279500
3363
+ },
3364
+ {
3365
+ "epoch": 2.87,
3366
+ "learning_rate": 2.1680953162168815e-06,
3367
+ "loss": 2.9681,
3368
+ "step": 280000
3369
+ },
3370
+ {
3371
+ "epoch": 2.88,
3372
+ "learning_rate": 2.08264976895524e-06,
3373
+ "loss": 2.9832,
3374
+ "step": 280500
3375
+ },
3376
+ {
3377
+ "epoch": 2.88,
3378
+ "learning_rate": 1.9972042216935994e-06,
3379
+ "loss": 2.9858,
3380
+ "step": 281000
3381
+ },
3382
+ {
3383
+ "epoch": 2.89,
3384
+ "learning_rate": 1.9117586744319583e-06,
3385
+ "loss": 2.9736,
3386
+ "step": 281500
3387
+ },
3388
+ {
3389
+ "epoch": 2.89,
3390
+ "learning_rate": 1.826313127170317e-06,
3391
+ "loss": 2.9777,
3392
+ "step": 282000
3393
+ },
3394
+ {
3395
+ "epoch": 2.9,
3396
+ "learning_rate": 1.7408675799086757e-06,
3397
+ "loss": 2.9864,
3398
+ "step": 282500
3399
+ },
3400
+ {
3401
+ "epoch": 2.9,
3402
+ "learning_rate": 1.6554220326470346e-06,
3403
+ "loss": 2.993,
3404
+ "step": 283000
3405
+ },
3406
+ {
3407
+ "epoch": 2.91,
3408
+ "learning_rate": 1.5699764853853938e-06,
3409
+ "loss": 2.9912,
3410
+ "step": 283500
3411
+ },
3412
+ {
3413
+ "epoch": 2.91,
3414
+ "learning_rate": 1.4845309381237525e-06,
3415
+ "loss": 2.9849,
3416
+ "step": 284000
3417
+ },
3418
+ {
3419
+ "epoch": 2.92,
3420
+ "learning_rate": 1.3990853908621114e-06,
3421
+ "loss": 2.9938,
3422
+ "step": 284500
3423
+ },
3424
+ {
3425
+ "epoch": 2.92,
3426
+ "learning_rate": 1.3136398436004704e-06,
3427
+ "loss": 2.9879,
3428
+ "step": 285000
3429
+ },
3430
+ {
3431
+ "epoch": 2.93,
3432
+ "learning_rate": 1.2283651874333526e-06,
3433
+ "loss": 2.9761,
3434
+ "step": 285500
3435
+ },
3436
+ {
3437
+ "epoch": 2.93,
3438
+ "learning_rate": 1.1429196401717114e-06,
3439
+ "loss": 2.9885,
3440
+ "step": 286000
3441
+ },
3442
+ {
3443
+ "epoch": 2.94,
3444
+ "learning_rate": 1.0576449840045936e-06,
3445
+ "loss": 2.9912,
3446
+ "step": 286500
3447
+ },
3448
+ {
3449
+ "epoch": 2.94,
3450
+ "learning_rate": 9.721994367429523e-07,
3451
+ "loss": 2.9883,
3452
+ "step": 287000
3453
+ },
3454
+ {
3455
+ "epoch": 2.95,
3456
+ "learning_rate": 8.867538894813114e-07,
3457
+ "loss": 2.9839,
3458
+ "step": 287500
3459
+ },
3460
+ {
3461
+ "epoch": 2.95,
3462
+ "learning_rate": 8.013083422196702e-07,
3463
+ "loss": 3.0088,
3464
+ "step": 288000
3465
+ },
3466
+ {
3467
+ "epoch": 2.96,
3468
+ "learning_rate": 7.158627949580292e-07,
3469
+ "loss": 2.9898,
3470
+ "step": 288500
3471
+ },
3472
+ {
3473
+ "epoch": 2.96,
3474
+ "learning_rate": 6.304172476963881e-07,
3475
+ "loss": 2.9815,
3476
+ "step": 289000
3477
+ },
3478
+ {
3479
+ "epoch": 2.97,
3480
+ "learning_rate": 5.44971700434747e-07,
3481
+ "loss": 2.9874,
3482
+ "step": 289500
3483
+ },
3484
+ {
3485
+ "epoch": 2.97,
3486
+ "learning_rate": 4.5952615317310585e-07,
3487
+ "loss": 2.9896,
3488
+ "step": 290000
3489
+ },
3490
+ {
3491
+ "epoch": 2.98,
3492
+ "learning_rate": 3.7425149700598803e-07,
3493
+ "loss": 2.9839,
3494
+ "step": 290500
3495
+ },
3496
+ {
3497
+ "epoch": 2.98,
3498
+ "learning_rate": 2.8880594974434696e-07,
3499
+ "loss": 2.9745,
3500
+ "step": 291000
3501
+ },
3502
+ {
3503
+ "epoch": 2.99,
3504
+ "learning_rate": 2.033604024827058e-07,
3505
+ "loss": 2.9837,
3506
+ "step": 291500
3507
+ },
3508
+ {
3509
+ "epoch": 2.99,
3510
+ "learning_rate": 1.1791485522106473e-07,
3511
+ "loss": 2.9712,
3512
+ "step": 292000
3513
+ },
3514
+ {
3515
+ "epoch": 3.0,
3516
+ "learning_rate": 3.246930795942362e-08,
3517
+ "loss": 2.9916,
3518
+ "step": 292500
3519
+ },
3520
+ {
3521
+ "epoch": 3.0,
3522
+ "step": 292584,
3523
+ "total_flos": 1.22320206692352e+18,
3524
+ "train_loss": 3.0709511061687094,
3525
+ "train_runtime": 441947.7546,
3526
+ "train_samples_per_second": 5.296,
3527
+ "train_steps_per_second": 0.662
3528
+ }
3529
+ ],
3530
+ "max_steps": 292584,
3531
+ "num_train_epochs": 3,
3532
+ "total_flos": 1.22320206692352e+18,
3533
+ "trial_name": null,
3534
+ "trial_params": null
3535
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c42c4566d63644271ad390abab4e9d37ef359ba8df8e4ff7fbc861a388e61ba
3
+ size 2991
vocab.json ADDED
The diff for this file is too large to render. See raw diff