AnonymousSub commited on
Commit
ecb9e31
1 Parent(s): 4e061f9

first commit

Browse files
Files changed (7) hide show
  1. config.json +28 -0
  2. optimizer.pt +3 -0
  3. pytorch_model.bin +3 -0
  4. rng_state.pth +3 -0
  5. scheduler.pt +3 -0
  6. trainer_state.json +3724 -0
  7. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "../scientific_data/biomed_roberta_base",
3
+ "architectures": [
4
+ "LecbertForPreTraining"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 768,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "layer_norm_eps": 1e-05,
17
+ "max_position_embeddings": 514,
18
+ "model_type": "roberta",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "pad_token_id": 1,
22
+ "position_embedding_type": "absolute",
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.10.2",
25
+ "type_vocab_size": 1,
26
+ "use_cache": true,
27
+ "vocab_size": 50265
28
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:aac8ac1fb938d44859a85477144a6fa1b0d97da8b355c9c7b615cd1926eda769
3
+ size 1007192453
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:da87048068b447f2f47fa859df13dce86d5c7e32c56c49d7119241ca27117c65
3
+ size 503624419
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2054cd0d86dad364de80946b4b5451d0518f924ddc608a7cdf8a6568a9aae24c
3
+ size 14657
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:80d8ef06c3465e5c590d78e4a338a7dd0aac4756e8655a072b53997c4c282597
3
+ size 559
trainer_state.json ADDED
@@ -0,0 +1,3724 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 42.17566368661708,
5
+ "global_step": 618000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.07,
12
+ "learning_rate": 1e-05,
13
+ "loss": 9.5383,
14
+ "step": 1000
15
+ },
16
+ {
17
+ "epoch": 0.14,
18
+ "learning_rate": 2e-05,
19
+ "loss": 4.7497,
20
+ "step": 2000
21
+ },
22
+ {
23
+ "epoch": 0.2,
24
+ "learning_rate": 3e-05,
25
+ "loss": 3.6415,
26
+ "step": 3000
27
+ },
28
+ {
29
+ "epoch": 0.27,
30
+ "learning_rate": 4e-05,
31
+ "loss": 3.1335,
32
+ "step": 4000
33
+ },
34
+ {
35
+ "epoch": 0.34,
36
+ "learning_rate": 5e-05,
37
+ "loss": 2.9182,
38
+ "step": 5000
39
+ },
40
+ {
41
+ "epoch": 0.41,
42
+ "learning_rate": 6e-05,
43
+ "loss": 2.7694,
44
+ "step": 6000
45
+ },
46
+ {
47
+ "epoch": 0.48,
48
+ "learning_rate": 7e-05,
49
+ "loss": 2.6519,
50
+ "step": 7000
51
+ },
52
+ {
53
+ "epoch": 0.55,
54
+ "learning_rate": 8e-05,
55
+ "loss": 2.5605,
56
+ "step": 8000
57
+ },
58
+ {
59
+ "epoch": 0.61,
60
+ "learning_rate": 9e-05,
61
+ "loss": 2.5034,
62
+ "step": 9000
63
+ },
64
+ {
65
+ "epoch": 0.68,
66
+ "learning_rate": 0.0001,
67
+ "loss": 2.4401,
68
+ "step": 10000
69
+ },
70
+ {
71
+ "epoch": 0.75,
72
+ "learning_rate": 9.98989898989899e-05,
73
+ "loss": 2.3808,
74
+ "step": 11000
75
+ },
76
+ {
77
+ "epoch": 0.82,
78
+ "learning_rate": 9.97979797979798e-05,
79
+ "loss": 2.331,
80
+ "step": 12000
81
+ },
82
+ {
83
+ "epoch": 0.89,
84
+ "learning_rate": 9.96969696969697e-05,
85
+ "loss": 2.2899,
86
+ "step": 13000
87
+ },
88
+ {
89
+ "epoch": 0.96,
90
+ "learning_rate": 9.95959595959596e-05,
91
+ "loss": 2.2701,
92
+ "step": 14000
93
+ },
94
+ {
95
+ "epoch": 1.02,
96
+ "learning_rate": 9.94949494949495e-05,
97
+ "loss": 2.2551,
98
+ "step": 15000
99
+ },
100
+ {
101
+ "epoch": 1.09,
102
+ "learning_rate": 9.939393939393939e-05,
103
+ "loss": 2.2178,
104
+ "step": 16000
105
+ },
106
+ {
107
+ "epoch": 1.16,
108
+ "learning_rate": 9.92929292929293e-05,
109
+ "loss": 2.2199,
110
+ "step": 17000
111
+ },
112
+ {
113
+ "epoch": 1.23,
114
+ "learning_rate": 9.919191919191919e-05,
115
+ "loss": 2.2129,
116
+ "step": 18000
117
+ },
118
+ {
119
+ "epoch": 1.3,
120
+ "learning_rate": 9.909090909090911e-05,
121
+ "loss": 2.2136,
122
+ "step": 19000
123
+ },
124
+ {
125
+ "epoch": 1.36,
126
+ "learning_rate": 9.8989898989899e-05,
127
+ "loss": 2.2057,
128
+ "step": 20000
129
+ },
130
+ {
131
+ "epoch": 1.43,
132
+ "learning_rate": 9.888888888888889e-05,
133
+ "loss": 2.2007,
134
+ "step": 21000
135
+ },
136
+ {
137
+ "epoch": 1.5,
138
+ "learning_rate": 9.87878787878788e-05,
139
+ "loss": 2.2019,
140
+ "step": 22000
141
+ },
142
+ {
143
+ "epoch": 1.57,
144
+ "learning_rate": 9.868686868686869e-05,
145
+ "loss": 2.2009,
146
+ "step": 23000
147
+ },
148
+ {
149
+ "epoch": 1.64,
150
+ "learning_rate": 9.85858585858586e-05,
151
+ "loss": 2.1896,
152
+ "step": 24000
153
+ },
154
+ {
155
+ "epoch": 1.71,
156
+ "learning_rate": 9.848484848484849e-05,
157
+ "loss": 2.1862,
158
+ "step": 25000
159
+ },
160
+ {
161
+ "epoch": 1.77,
162
+ "learning_rate": 9.838383838383838e-05,
163
+ "loss": 2.1872,
164
+ "step": 26000
165
+ },
166
+ {
167
+ "epoch": 1.84,
168
+ "learning_rate": 9.828282828282829e-05,
169
+ "loss": 2.1935,
170
+ "step": 27000
171
+ },
172
+ {
173
+ "epoch": 1.91,
174
+ "learning_rate": 9.818181818181818e-05,
175
+ "loss": 2.1856,
176
+ "step": 28000
177
+ },
178
+ {
179
+ "epoch": 1.98,
180
+ "learning_rate": 9.808080808080809e-05,
181
+ "loss": 2.1705,
182
+ "step": 29000
183
+ },
184
+ {
185
+ "epoch": 2.05,
186
+ "learning_rate": 9.797979797979798e-05,
187
+ "loss": 2.1708,
188
+ "step": 30000
189
+ },
190
+ {
191
+ "epoch": 2.12,
192
+ "learning_rate": 9.787878787878789e-05,
193
+ "loss": 2.1601,
194
+ "step": 31000
195
+ },
196
+ {
197
+ "epoch": 2.18,
198
+ "learning_rate": 9.777777777777778e-05,
199
+ "loss": 2.1639,
200
+ "step": 32000
201
+ },
202
+ {
203
+ "epoch": 2.25,
204
+ "learning_rate": 9.767676767676767e-05,
205
+ "loss": 2.1561,
206
+ "step": 33000
207
+ },
208
+ {
209
+ "epoch": 2.32,
210
+ "learning_rate": 9.757575757575758e-05,
211
+ "loss": 2.1528,
212
+ "step": 34000
213
+ },
214
+ {
215
+ "epoch": 2.39,
216
+ "learning_rate": 9.747474747474747e-05,
217
+ "loss": 2.1561,
218
+ "step": 35000
219
+ },
220
+ {
221
+ "epoch": 2.46,
222
+ "learning_rate": 9.737373737373738e-05,
223
+ "loss": 2.1663,
224
+ "step": 36000
225
+ },
226
+ {
227
+ "epoch": 2.53,
228
+ "learning_rate": 9.727272727272728e-05,
229
+ "loss": 2.152,
230
+ "step": 37000
231
+ },
232
+ {
233
+ "epoch": 2.59,
234
+ "learning_rate": 9.717171717171718e-05,
235
+ "loss": 2.1551,
236
+ "step": 38000
237
+ },
238
+ {
239
+ "epoch": 2.66,
240
+ "learning_rate": 9.707070707070708e-05,
241
+ "loss": 2.1453,
242
+ "step": 39000
243
+ },
244
+ {
245
+ "epoch": 2.73,
246
+ "learning_rate": 9.696969696969698e-05,
247
+ "loss": 2.1524,
248
+ "step": 40000
249
+ },
250
+ {
251
+ "epoch": 2.8,
252
+ "learning_rate": 9.686868686868688e-05,
253
+ "loss": 2.1523,
254
+ "step": 41000
255
+ },
256
+ {
257
+ "epoch": 2.87,
258
+ "learning_rate": 9.676767676767677e-05,
259
+ "loss": 2.1457,
260
+ "step": 42000
261
+ },
262
+ {
263
+ "epoch": 2.93,
264
+ "learning_rate": 9.666666666666667e-05,
265
+ "loss": 2.1527,
266
+ "step": 43000
267
+ },
268
+ {
269
+ "epoch": 3.0,
270
+ "learning_rate": 9.656565656565657e-05,
271
+ "loss": 2.1446,
272
+ "step": 44000
273
+ },
274
+ {
275
+ "epoch": 3.07,
276
+ "learning_rate": 9.646464646464647e-05,
277
+ "loss": 2.1267,
278
+ "step": 45000
279
+ },
280
+ {
281
+ "epoch": 3.14,
282
+ "learning_rate": 9.636363636363637e-05,
283
+ "loss": 2.122,
284
+ "step": 46000
285
+ },
286
+ {
287
+ "epoch": 3.21,
288
+ "learning_rate": 9.626262626262627e-05,
289
+ "loss": 2.126,
290
+ "step": 47000
291
+ },
292
+ {
293
+ "epoch": 3.28,
294
+ "learning_rate": 9.616161616161616e-05,
295
+ "loss": 2.1321,
296
+ "step": 48000
297
+ },
298
+ {
299
+ "epoch": 3.34,
300
+ "learning_rate": 9.606060606060606e-05,
301
+ "loss": 2.1251,
302
+ "step": 49000
303
+ },
304
+ {
305
+ "epoch": 3.41,
306
+ "learning_rate": 9.595959595959596e-05,
307
+ "loss": 2.1242,
308
+ "step": 50000
309
+ },
310
+ {
311
+ "epoch": 3.48,
312
+ "learning_rate": 9.585858585858586e-05,
313
+ "loss": 2.1297,
314
+ "step": 51000
315
+ },
316
+ {
317
+ "epoch": 3.55,
318
+ "learning_rate": 9.575757575757576e-05,
319
+ "loss": 2.1262,
320
+ "step": 52000
321
+ },
322
+ {
323
+ "epoch": 3.62,
324
+ "learning_rate": 9.565656565656566e-05,
325
+ "loss": 2.1166,
326
+ "step": 53000
327
+ },
328
+ {
329
+ "epoch": 3.69,
330
+ "learning_rate": 9.555555555555557e-05,
331
+ "loss": 2.128,
332
+ "step": 54000
333
+ },
334
+ {
335
+ "epoch": 3.75,
336
+ "learning_rate": 9.545454545454546e-05,
337
+ "loss": 2.1239,
338
+ "step": 55000
339
+ },
340
+ {
341
+ "epoch": 3.82,
342
+ "learning_rate": 9.535353535353537e-05,
343
+ "loss": 2.1275,
344
+ "step": 56000
345
+ },
346
+ {
347
+ "epoch": 3.89,
348
+ "learning_rate": 9.525252525252526e-05,
349
+ "loss": 2.1234,
350
+ "step": 57000
351
+ },
352
+ {
353
+ "epoch": 3.96,
354
+ "learning_rate": 9.515151515151515e-05,
355
+ "loss": 2.1243,
356
+ "step": 58000
357
+ },
358
+ {
359
+ "epoch": 4.03,
360
+ "learning_rate": 9.505050505050506e-05,
361
+ "loss": 2.1213,
362
+ "step": 59000
363
+ },
364
+ {
365
+ "epoch": 4.09,
366
+ "learning_rate": 9.494949494949495e-05,
367
+ "loss": 2.1085,
368
+ "step": 60000
369
+ },
370
+ {
371
+ "epoch": 4.16,
372
+ "learning_rate": 9.484848484848486e-05,
373
+ "loss": 2.0972,
374
+ "step": 61000
375
+ },
376
+ {
377
+ "epoch": 4.23,
378
+ "learning_rate": 9.474747474747475e-05,
379
+ "loss": 2.1019,
380
+ "step": 62000
381
+ },
382
+ {
383
+ "epoch": 4.3,
384
+ "learning_rate": 9.464646464646464e-05,
385
+ "loss": 2.1029,
386
+ "step": 63000
387
+ },
388
+ {
389
+ "epoch": 4.37,
390
+ "learning_rate": 9.454545454545455e-05,
391
+ "loss": 2.0965,
392
+ "step": 64000
393
+ },
394
+ {
395
+ "epoch": 4.44,
396
+ "learning_rate": 9.444444444444444e-05,
397
+ "loss": 2.0978,
398
+ "step": 65000
399
+ },
400
+ {
401
+ "epoch": 4.5,
402
+ "learning_rate": 9.434343434343435e-05,
403
+ "loss": 2.1097,
404
+ "step": 66000
405
+ },
406
+ {
407
+ "epoch": 4.57,
408
+ "learning_rate": 9.424242424242424e-05,
409
+ "loss": 2.0989,
410
+ "step": 67000
411
+ },
412
+ {
413
+ "epoch": 4.64,
414
+ "learning_rate": 9.414141414141415e-05,
415
+ "loss": 2.1079,
416
+ "step": 68000
417
+ },
418
+ {
419
+ "epoch": 4.71,
420
+ "learning_rate": 9.404040404040404e-05,
421
+ "loss": 2.1017,
422
+ "step": 69000
423
+ },
424
+ {
425
+ "epoch": 4.78,
426
+ "learning_rate": 9.393939393939395e-05,
427
+ "loss": 2.1007,
428
+ "step": 70000
429
+ },
430
+ {
431
+ "epoch": 4.85,
432
+ "learning_rate": 9.383838383838385e-05,
433
+ "loss": 2.1046,
434
+ "step": 71000
435
+ },
436
+ {
437
+ "epoch": 4.91,
438
+ "learning_rate": 9.373737373737375e-05,
439
+ "loss": 2.0981,
440
+ "step": 72000
441
+ },
442
+ {
443
+ "epoch": 4.98,
444
+ "learning_rate": 9.363636363636364e-05,
445
+ "loss": 2.1042,
446
+ "step": 73000
447
+ },
448
+ {
449
+ "epoch": 5.05,
450
+ "learning_rate": 9.353535353535354e-05,
451
+ "loss": 2.0911,
452
+ "step": 74000
453
+ },
454
+ {
455
+ "epoch": 5.12,
456
+ "learning_rate": 9.343434343434344e-05,
457
+ "loss": 2.0847,
458
+ "step": 75000
459
+ },
460
+ {
461
+ "epoch": 5.19,
462
+ "learning_rate": 9.333333333333334e-05,
463
+ "loss": 2.0833,
464
+ "step": 76000
465
+ },
466
+ {
467
+ "epoch": 5.25,
468
+ "learning_rate": 9.323232323232324e-05,
469
+ "loss": 2.0855,
470
+ "step": 77000
471
+ },
472
+ {
473
+ "epoch": 5.32,
474
+ "learning_rate": 9.313131313131314e-05,
475
+ "loss": 2.0893,
476
+ "step": 78000
477
+ },
478
+ {
479
+ "epoch": 5.39,
480
+ "learning_rate": 9.303030303030303e-05,
481
+ "loss": 2.0899,
482
+ "step": 79000
483
+ },
484
+ {
485
+ "epoch": 5.46,
486
+ "learning_rate": 9.292929292929293e-05,
487
+ "loss": 2.0869,
488
+ "step": 80000
489
+ },
490
+ {
491
+ "epoch": 5.53,
492
+ "learning_rate": 9.282828282828283e-05,
493
+ "loss": 2.085,
494
+ "step": 81000
495
+ },
496
+ {
497
+ "epoch": 5.6,
498
+ "learning_rate": 9.272727272727273e-05,
499
+ "loss": 2.0878,
500
+ "step": 82000
501
+ },
502
+ {
503
+ "epoch": 5.66,
504
+ "learning_rate": 9.262626262626263e-05,
505
+ "loss": 2.0877,
506
+ "step": 83000
507
+ },
508
+ {
509
+ "epoch": 5.73,
510
+ "learning_rate": 9.252525252525253e-05,
511
+ "loss": 2.0886,
512
+ "step": 84000
513
+ },
514
+ {
515
+ "epoch": 5.8,
516
+ "learning_rate": 9.242424242424242e-05,
517
+ "loss": 2.0939,
518
+ "step": 85000
519
+ },
520
+ {
521
+ "epoch": 5.87,
522
+ "learning_rate": 9.232323232323232e-05,
523
+ "loss": 2.0732,
524
+ "step": 86000
525
+ },
526
+ {
527
+ "epoch": 5.94,
528
+ "learning_rate": 9.222222222222223e-05,
529
+ "loss": 2.0847,
530
+ "step": 87000
531
+ },
532
+ {
533
+ "epoch": 6.01,
534
+ "learning_rate": 9.212121212121214e-05,
535
+ "loss": 2.0904,
536
+ "step": 88000
537
+ },
538
+ {
539
+ "epoch": 6.07,
540
+ "learning_rate": 9.202020202020203e-05,
541
+ "loss": 2.0627,
542
+ "step": 89000
543
+ },
544
+ {
545
+ "epoch": 6.14,
546
+ "learning_rate": 9.191919191919192e-05,
547
+ "loss": 2.0621,
548
+ "step": 90000
549
+ },
550
+ {
551
+ "epoch": 6.21,
552
+ "learning_rate": 9.181818181818183e-05,
553
+ "loss": 2.0659,
554
+ "step": 91000
555
+ },
556
+ {
557
+ "epoch": 6.28,
558
+ "learning_rate": 9.171717171717172e-05,
559
+ "loss": 2.067,
560
+ "step": 92000
561
+ },
562
+ {
563
+ "epoch": 6.35,
564
+ "learning_rate": 9.161616161616163e-05,
565
+ "loss": 2.0773,
566
+ "step": 93000
567
+ },
568
+ {
569
+ "epoch": 6.42,
570
+ "learning_rate": 9.151515151515152e-05,
571
+ "loss": 2.0734,
572
+ "step": 94000
573
+ },
574
+ {
575
+ "epoch": 6.48,
576
+ "learning_rate": 9.141414141414141e-05,
577
+ "loss": 2.0703,
578
+ "step": 95000
579
+ },
580
+ {
581
+ "epoch": 6.55,
582
+ "learning_rate": 9.131313131313132e-05,
583
+ "loss": 2.074,
584
+ "step": 96000
585
+ },
586
+ {
587
+ "epoch": 6.62,
588
+ "learning_rate": 9.121212121212121e-05,
589
+ "loss": 2.0704,
590
+ "step": 97000
591
+ },
592
+ {
593
+ "epoch": 6.69,
594
+ "learning_rate": 9.111111111111112e-05,
595
+ "loss": 2.0752,
596
+ "step": 98000
597
+ },
598
+ {
599
+ "epoch": 6.76,
600
+ "learning_rate": 9.101010101010101e-05,
601
+ "loss": 2.081,
602
+ "step": 99000
603
+ },
604
+ {
605
+ "epoch": 6.82,
606
+ "learning_rate": 9.090909090909092e-05,
607
+ "loss": 2.0663,
608
+ "step": 100000
609
+ },
610
+ {
611
+ "epoch": 6.89,
612
+ "learning_rate": 9.080808080808081e-05,
613
+ "loss": 2.08,
614
+ "step": 101000
615
+ },
616
+ {
617
+ "epoch": 6.96,
618
+ "learning_rate": 9.07070707070707e-05,
619
+ "loss": 2.0778,
620
+ "step": 102000
621
+ },
622
+ {
623
+ "epoch": 7.03,
624
+ "learning_rate": 9.060606060606061e-05,
625
+ "loss": 2.0575,
626
+ "step": 103000
627
+ },
628
+ {
629
+ "epoch": 7.1,
630
+ "learning_rate": 9.050505050505052e-05,
631
+ "loss": 2.0668,
632
+ "step": 104000
633
+ },
634
+ {
635
+ "epoch": 7.17,
636
+ "learning_rate": 9.040404040404041e-05,
637
+ "loss": 2.0648,
638
+ "step": 105000
639
+ },
640
+ {
641
+ "epoch": 7.23,
642
+ "learning_rate": 9.030303030303031e-05,
643
+ "loss": 2.0684,
644
+ "step": 106000
645
+ },
646
+ {
647
+ "epoch": 7.3,
648
+ "learning_rate": 9.02020202020202e-05,
649
+ "loss": 2.0587,
650
+ "step": 107000
651
+ },
652
+ {
653
+ "epoch": 7.37,
654
+ "learning_rate": 9.010101010101011e-05,
655
+ "loss": 2.0687,
656
+ "step": 108000
657
+ },
658
+ {
659
+ "epoch": 7.44,
660
+ "learning_rate": 9e-05,
661
+ "loss": 2.0673,
662
+ "step": 109000
663
+ },
664
+ {
665
+ "epoch": 7.51,
666
+ "learning_rate": 8.98989898989899e-05,
667
+ "loss": 2.0664,
668
+ "step": 110000
669
+ },
670
+ {
671
+ "epoch": 7.58,
672
+ "learning_rate": 8.97979797979798e-05,
673
+ "loss": 2.0621,
674
+ "step": 111000
675
+ },
676
+ {
677
+ "epoch": 7.64,
678
+ "learning_rate": 8.96969696969697e-05,
679
+ "loss": 2.0662,
680
+ "step": 112000
681
+ },
682
+ {
683
+ "epoch": 7.71,
684
+ "learning_rate": 8.95959595959596e-05,
685
+ "loss": 2.0629,
686
+ "step": 113000
687
+ },
688
+ {
689
+ "epoch": 7.78,
690
+ "learning_rate": 8.94949494949495e-05,
691
+ "loss": 2.067,
692
+ "step": 114000
693
+ },
694
+ {
695
+ "epoch": 7.85,
696
+ "learning_rate": 8.93939393939394e-05,
697
+ "loss": 2.0496,
698
+ "step": 115000
699
+ },
700
+ {
701
+ "epoch": 7.92,
702
+ "learning_rate": 8.92929292929293e-05,
703
+ "loss": 2.0551,
704
+ "step": 116000
705
+ },
706
+ {
707
+ "epoch": 7.98,
708
+ "learning_rate": 8.919191919191919e-05,
709
+ "loss": 2.0644,
710
+ "step": 117000
711
+ },
712
+ {
713
+ "epoch": 8.05,
714
+ "learning_rate": 8.90909090909091e-05,
715
+ "loss": 2.0443,
716
+ "step": 118000
717
+ },
718
+ {
719
+ "epoch": 8.12,
720
+ "learning_rate": 8.898989898989899e-05,
721
+ "loss": 2.0336,
722
+ "step": 119000
723
+ },
724
+ {
725
+ "epoch": 8.19,
726
+ "learning_rate": 8.888888888888889e-05,
727
+ "loss": 2.0566,
728
+ "step": 120000
729
+ },
730
+ {
731
+ "epoch": 8.26,
732
+ "learning_rate": 8.87878787878788e-05,
733
+ "loss": 2.0554,
734
+ "step": 121000
735
+ },
736
+ {
737
+ "epoch": 8.33,
738
+ "learning_rate": 8.868686868686869e-05,
739
+ "loss": 2.0694,
740
+ "step": 122000
741
+ },
742
+ {
743
+ "epoch": 8.39,
744
+ "learning_rate": 8.85858585858586e-05,
745
+ "loss": 2.0965,
746
+ "step": 123000
747
+ },
748
+ {
749
+ "epoch": 8.46,
750
+ "learning_rate": 8.848484848484849e-05,
751
+ "loss": 2.0782,
752
+ "step": 124000
753
+ },
754
+ {
755
+ "epoch": 8.53,
756
+ "learning_rate": 8.83838383838384e-05,
757
+ "loss": 2.0969,
758
+ "step": 125000
759
+ },
760
+ {
761
+ "epoch": 8.6,
762
+ "learning_rate": 8.828282828282829e-05,
763
+ "loss": 2.0904,
764
+ "step": 126000
765
+ },
766
+ {
767
+ "epoch": 8.67,
768
+ "learning_rate": 8.818181818181818e-05,
769
+ "loss": 2.0893,
770
+ "step": 127000
771
+ },
772
+ {
773
+ "epoch": 8.74,
774
+ "learning_rate": 8.808080808080809e-05,
775
+ "loss": 2.0651,
776
+ "step": 128000
777
+ },
778
+ {
779
+ "epoch": 8.8,
780
+ "learning_rate": 8.797979797979798e-05,
781
+ "loss": 2.0593,
782
+ "step": 129000
783
+ },
784
+ {
785
+ "epoch": 8.87,
786
+ "learning_rate": 8.787878787878789e-05,
787
+ "loss": 2.0756,
788
+ "step": 130000
789
+ },
790
+ {
791
+ "epoch": 8.94,
792
+ "learning_rate": 8.777777777777778e-05,
793
+ "loss": 2.0774,
794
+ "step": 131000
795
+ },
796
+ {
797
+ "epoch": 9.01,
798
+ "learning_rate": 8.767676767676767e-05,
799
+ "loss": 2.0747,
800
+ "step": 132000
801
+ },
802
+ {
803
+ "epoch": 9.08,
804
+ "learning_rate": 8.757575757575758e-05,
805
+ "loss": 2.0535,
806
+ "step": 133000
807
+ },
808
+ {
809
+ "epoch": 9.14,
810
+ "learning_rate": 8.747474747474747e-05,
811
+ "loss": 2.0424,
812
+ "step": 134000
813
+ },
814
+ {
815
+ "epoch": 9.21,
816
+ "learning_rate": 8.737373737373738e-05,
817
+ "loss": 2.0593,
818
+ "step": 135000
819
+ },
820
+ {
821
+ "epoch": 9.28,
822
+ "learning_rate": 8.727272727272727e-05,
823
+ "loss": 2.0917,
824
+ "step": 136000
825
+ },
826
+ {
827
+ "epoch": 9.35,
828
+ "learning_rate": 8.717171717171718e-05,
829
+ "loss": 2.0821,
830
+ "step": 137000
831
+ },
832
+ {
833
+ "epoch": 9.42,
834
+ "learning_rate": 8.707070707070707e-05,
835
+ "loss": 2.0826,
836
+ "step": 138000
837
+ },
838
+ {
839
+ "epoch": 9.49,
840
+ "learning_rate": 8.696969696969698e-05,
841
+ "loss": 2.0706,
842
+ "step": 139000
843
+ },
844
+ {
845
+ "epoch": 9.55,
846
+ "learning_rate": 8.686868686868688e-05,
847
+ "loss": 2.0645,
848
+ "step": 140000
849
+ },
850
+ {
851
+ "epoch": 9.62,
852
+ "learning_rate": 8.676767676767678e-05,
853
+ "loss": 2.0742,
854
+ "step": 141000
855
+ },
856
+ {
857
+ "epoch": 9.69,
858
+ "learning_rate": 8.666666666666667e-05,
859
+ "loss": 2.0539,
860
+ "step": 142000
861
+ },
862
+ {
863
+ "epoch": 9.76,
864
+ "learning_rate": 8.656565656565657e-05,
865
+ "loss": 2.0711,
866
+ "step": 143000
867
+ },
868
+ {
869
+ "epoch": 9.83,
870
+ "learning_rate": 8.646464646464647e-05,
871
+ "loss": 2.082,
872
+ "step": 144000
873
+ },
874
+ {
875
+ "epoch": 9.9,
876
+ "learning_rate": 8.636363636363637e-05,
877
+ "loss": 2.0967,
878
+ "step": 145000
879
+ },
880
+ {
881
+ "epoch": 9.96,
882
+ "learning_rate": 8.626262626262627e-05,
883
+ "loss": 2.0903,
884
+ "step": 146000
885
+ },
886
+ {
887
+ "epoch": 10.03,
888
+ "learning_rate": 8.616161616161616e-05,
889
+ "loss": 2.0641,
890
+ "step": 147000
891
+ },
892
+ {
893
+ "epoch": 10.1,
894
+ "learning_rate": 8.606060606060606e-05,
895
+ "loss": 2.0476,
896
+ "step": 148000
897
+ },
898
+ {
899
+ "epoch": 10.17,
900
+ "learning_rate": 8.595959595959596e-05,
901
+ "loss": 2.0659,
902
+ "step": 149000
903
+ },
904
+ {
905
+ "epoch": 10.24,
906
+ "learning_rate": 8.585858585858586e-05,
907
+ "loss": 2.0945,
908
+ "step": 150000
909
+ },
910
+ {
911
+ "epoch": 10.31,
912
+ "learning_rate": 8.575757575757576e-05,
913
+ "loss": 2.0726,
914
+ "step": 151000
915
+ },
916
+ {
917
+ "epoch": 10.37,
918
+ "learning_rate": 8.565656565656566e-05,
919
+ "loss": 2.0658,
920
+ "step": 152000
921
+ },
922
+ {
923
+ "epoch": 10.44,
924
+ "learning_rate": 8.555555555555556e-05,
925
+ "loss": 2.0801,
926
+ "step": 153000
927
+ },
928
+ {
929
+ "epoch": 10.51,
930
+ "learning_rate": 8.545454545454545e-05,
931
+ "loss": 2.1605,
932
+ "step": 154000
933
+ },
934
+ {
935
+ "epoch": 10.58,
936
+ "learning_rate": 8.535353535353535e-05,
937
+ "loss": 2.1355,
938
+ "step": 155000
939
+ },
940
+ {
941
+ "epoch": 10.65,
942
+ "learning_rate": 8.525252525252526e-05,
943
+ "loss": 2.1316,
944
+ "step": 156000
945
+ },
946
+ {
947
+ "epoch": 10.71,
948
+ "learning_rate": 8.515151515151515e-05,
949
+ "loss": 2.096,
950
+ "step": 157000
951
+ },
952
+ {
953
+ "epoch": 10.78,
954
+ "learning_rate": 8.505050505050506e-05,
955
+ "loss": 2.1297,
956
+ "step": 158000
957
+ },
958
+ {
959
+ "epoch": 10.85,
960
+ "learning_rate": 8.494949494949495e-05,
961
+ "loss": 2.1931,
962
+ "step": 159000
963
+ },
964
+ {
965
+ "epoch": 10.92,
966
+ "learning_rate": 8.484848484848486e-05,
967
+ "loss": 2.2619,
968
+ "step": 160000
969
+ },
970
+ {
971
+ "epoch": 10.99,
972
+ "learning_rate": 8.474747474747475e-05,
973
+ "loss": 2.419,
974
+ "step": 161000
975
+ },
976
+ {
977
+ "epoch": 11.06,
978
+ "learning_rate": 8.464646464646466e-05,
979
+ "loss": 2.1826,
980
+ "step": 162000
981
+ },
982
+ {
983
+ "epoch": 11.12,
984
+ "learning_rate": 8.454545454545455e-05,
985
+ "loss": 2.1488,
986
+ "step": 163000
987
+ },
988
+ {
989
+ "epoch": 11.19,
990
+ "learning_rate": 8.444444444444444e-05,
991
+ "loss": 2.15,
992
+ "step": 164000
993
+ },
994
+ {
995
+ "epoch": 11.26,
996
+ "learning_rate": 8.434343434343435e-05,
997
+ "loss": 2.123,
998
+ "step": 165000
999
+ },
1000
+ {
1001
+ "epoch": 11.33,
1002
+ "learning_rate": 8.424242424242424e-05,
1003
+ "loss": 2.1706,
1004
+ "step": 166000
1005
+ },
1006
+ {
1007
+ "epoch": 11.4,
1008
+ "learning_rate": 8.414141414141415e-05,
1009
+ "loss": 2.1742,
1010
+ "step": 167000
1011
+ },
1012
+ {
1013
+ "epoch": 11.47,
1014
+ "learning_rate": 8.404040404040404e-05,
1015
+ "loss": 2.1976,
1016
+ "step": 168000
1017
+ },
1018
+ {
1019
+ "epoch": 11.53,
1020
+ "learning_rate": 8.393939393939393e-05,
1021
+ "loss": 2.3259,
1022
+ "step": 169000
1023
+ },
1024
+ {
1025
+ "epoch": 11.6,
1026
+ "learning_rate": 8.383838383838384e-05,
1027
+ "loss": 2.1211,
1028
+ "step": 170000
1029
+ },
1030
+ {
1031
+ "epoch": 11.67,
1032
+ "learning_rate": 8.373737373737373e-05,
1033
+ "loss": 2.1042,
1034
+ "step": 171000
1035
+ },
1036
+ {
1037
+ "epoch": 11.74,
1038
+ "learning_rate": 8.363636363636364e-05,
1039
+ "loss": 2.0911,
1040
+ "step": 172000
1041
+ },
1042
+ {
1043
+ "epoch": 11.81,
1044
+ "learning_rate": 8.353535353535355e-05,
1045
+ "loss": 2.2741,
1046
+ "step": 173000
1047
+ },
1048
+ {
1049
+ "epoch": 11.87,
1050
+ "learning_rate": 8.343434343434344e-05,
1051
+ "loss": 2.5175,
1052
+ "step": 174000
1053
+ },
1054
+ {
1055
+ "epoch": 11.94,
1056
+ "learning_rate": 8.333333333333334e-05,
1057
+ "loss": 2.2128,
1058
+ "step": 175000
1059
+ },
1060
+ {
1061
+ "epoch": 12.01,
1062
+ "learning_rate": 8.323232323232324e-05,
1063
+ "loss": 2.2981,
1064
+ "step": 176000
1065
+ },
1066
+ {
1067
+ "epoch": 12.08,
1068
+ "learning_rate": 8.313131313131314e-05,
1069
+ "loss": 2.3141,
1070
+ "step": 177000
1071
+ },
1072
+ {
1073
+ "epoch": 12.15,
1074
+ "learning_rate": 8.303030303030304e-05,
1075
+ "loss": 2.5312,
1076
+ "step": 178000
1077
+ },
1078
+ {
1079
+ "epoch": 12.22,
1080
+ "learning_rate": 8.292929292929293e-05,
1081
+ "loss": 2.5787,
1082
+ "step": 179000
1083
+ },
1084
+ {
1085
+ "epoch": 12.28,
1086
+ "learning_rate": 8.282828282828283e-05,
1087
+ "loss": 2.5192,
1088
+ "step": 180000
1089
+ },
1090
+ {
1091
+ "epoch": 12.35,
1092
+ "learning_rate": 8.272727272727273e-05,
1093
+ "loss": 2.5287,
1094
+ "step": 181000
1095
+ },
1096
+ {
1097
+ "epoch": 12.42,
1098
+ "learning_rate": 8.262626262626263e-05,
1099
+ "loss": 2.3686,
1100
+ "step": 182000
1101
+ },
1102
+ {
1103
+ "epoch": 12.49,
1104
+ "learning_rate": 8.252525252525253e-05,
1105
+ "loss": 2.4153,
1106
+ "step": 183000
1107
+ },
1108
+ {
1109
+ "epoch": 12.56,
1110
+ "learning_rate": 8.242424242424243e-05,
1111
+ "loss": 2.3315,
1112
+ "step": 184000
1113
+ },
1114
+ {
1115
+ "epoch": 12.63,
1116
+ "learning_rate": 8.232323232323233e-05,
1117
+ "loss": 2.2995,
1118
+ "step": 185000
1119
+ },
1120
+ {
1121
+ "epoch": 12.69,
1122
+ "learning_rate": 8.222222222222222e-05,
1123
+ "loss": 2.2194,
1124
+ "step": 186000
1125
+ },
1126
+ {
1127
+ "epoch": 12.76,
1128
+ "learning_rate": 8.212121212121212e-05,
1129
+ "loss": 2.2759,
1130
+ "step": 187000
1131
+ },
1132
+ {
1133
+ "epoch": 12.83,
1134
+ "learning_rate": 8.202020202020202e-05,
1135
+ "loss": 2.2116,
1136
+ "step": 188000
1137
+ },
1138
+ {
1139
+ "epoch": 12.9,
1140
+ "learning_rate": 8.191919191919192e-05,
1141
+ "loss": 2.1894,
1142
+ "step": 189000
1143
+ },
1144
+ {
1145
+ "epoch": 12.97,
1146
+ "learning_rate": 8.181818181818183e-05,
1147
+ "loss": 2.275,
1148
+ "step": 190000
1149
+ },
1150
+ {
1151
+ "epoch": 13.03,
1152
+ "learning_rate": 8.171717171717172e-05,
1153
+ "loss": 2.2904,
1154
+ "step": 191000
1155
+ },
1156
+ {
1157
+ "epoch": 13.1,
1158
+ "learning_rate": 8.161616161616163e-05,
1159
+ "loss": 2.145,
1160
+ "step": 192000
1161
+ },
1162
+ {
1163
+ "epoch": 13.17,
1164
+ "learning_rate": 8.151515151515152e-05,
1165
+ "loss": 2.2841,
1166
+ "step": 193000
1167
+ },
1168
+ {
1169
+ "epoch": 13.24,
1170
+ "learning_rate": 8.141414141414141e-05,
1171
+ "loss": 2.2248,
1172
+ "step": 194000
1173
+ },
1174
+ {
1175
+ "epoch": 13.31,
1176
+ "learning_rate": 8.131313131313132e-05,
1177
+ "loss": 2.1465,
1178
+ "step": 195000
1179
+ },
1180
+ {
1181
+ "epoch": 13.38,
1182
+ "learning_rate": 8.121212121212121e-05,
1183
+ "loss": 2.2754,
1184
+ "step": 196000
1185
+ },
1186
+ {
1187
+ "epoch": 13.44,
1188
+ "learning_rate": 8.111111111111112e-05,
1189
+ "loss": 2.1961,
1190
+ "step": 197000
1191
+ },
1192
+ {
1193
+ "epoch": 13.51,
1194
+ "learning_rate": 8.101010101010101e-05,
1195
+ "loss": 2.1129,
1196
+ "step": 198000
1197
+ },
1198
+ {
1199
+ "epoch": 13.58,
1200
+ "learning_rate": 8.090909090909092e-05,
1201
+ "loss": 2.049,
1202
+ "step": 199000
1203
+ },
1204
+ {
1205
+ "epoch": 13.65,
1206
+ "learning_rate": 8.080808080808081e-05,
1207
+ "loss": 2.0999,
1208
+ "step": 200000
1209
+ },
1210
+ {
1211
+ "epoch": 13.72,
1212
+ "learning_rate": 8.07070707070707e-05,
1213
+ "loss": 2.0524,
1214
+ "step": 201000
1215
+ },
1216
+ {
1217
+ "epoch": 13.79,
1218
+ "learning_rate": 8.060606060606061e-05,
1219
+ "loss": 2.0746,
1220
+ "step": 202000
1221
+ },
1222
+ {
1223
+ "epoch": 13.85,
1224
+ "learning_rate": 8.05050505050505e-05,
1225
+ "loss": 2.0608,
1226
+ "step": 203000
1227
+ },
1228
+ {
1229
+ "epoch": 13.92,
1230
+ "learning_rate": 8.040404040404041e-05,
1231
+ "loss": 2.0636,
1232
+ "step": 204000
1233
+ },
1234
+ {
1235
+ "epoch": 13.99,
1236
+ "learning_rate": 8.03030303030303e-05,
1237
+ "loss": 2.1086,
1238
+ "step": 205000
1239
+ },
1240
+ {
1241
+ "epoch": 14.06,
1242
+ "learning_rate": 8.02020202020202e-05,
1243
+ "loss": 2.0534,
1244
+ "step": 206000
1245
+ },
1246
+ {
1247
+ "epoch": 14.13,
1248
+ "learning_rate": 8.010101010101011e-05,
1249
+ "loss": 2.0447,
1250
+ "step": 207000
1251
+ },
1252
+ {
1253
+ "epoch": 14.2,
1254
+ "learning_rate": 8e-05,
1255
+ "loss": 2.0554,
1256
+ "step": 208000
1257
+ },
1258
+ {
1259
+ "epoch": 14.26,
1260
+ "learning_rate": 7.989898989898991e-05,
1261
+ "loss": 2.0521,
1262
+ "step": 209000
1263
+ },
1264
+ {
1265
+ "epoch": 14.33,
1266
+ "learning_rate": 7.97979797979798e-05,
1267
+ "loss": 2.0783,
1268
+ "step": 210000
1269
+ },
1270
+ {
1271
+ "epoch": 14.4,
1272
+ "learning_rate": 7.96969696969697e-05,
1273
+ "loss": 2.0249,
1274
+ "step": 211000
1275
+ },
1276
+ {
1277
+ "epoch": 14.47,
1278
+ "learning_rate": 7.95959595959596e-05,
1279
+ "loss": 2.0453,
1280
+ "step": 212000
1281
+ },
1282
+ {
1283
+ "epoch": 14.54,
1284
+ "learning_rate": 7.94949494949495e-05,
1285
+ "loss": 2.0673,
1286
+ "step": 213000
1287
+ },
1288
+ {
1289
+ "epoch": 14.6,
1290
+ "learning_rate": 7.93939393939394e-05,
1291
+ "loss": 2.0899,
1292
+ "step": 214000
1293
+ },
1294
+ {
1295
+ "epoch": 14.67,
1296
+ "learning_rate": 7.92929292929293e-05,
1297
+ "loss": 2.0947,
1298
+ "step": 215000
1299
+ },
1300
+ {
1301
+ "epoch": 14.74,
1302
+ "learning_rate": 7.919191919191919e-05,
1303
+ "loss": 2.1157,
1304
+ "step": 216000
1305
+ },
1306
+ {
1307
+ "epoch": 14.81,
1308
+ "learning_rate": 7.90909090909091e-05,
1309
+ "loss": 2.1019,
1310
+ "step": 217000
1311
+ },
1312
+ {
1313
+ "epoch": 14.88,
1314
+ "learning_rate": 7.898989898989899e-05,
1315
+ "loss": 2.0353,
1316
+ "step": 218000
1317
+ },
1318
+ {
1319
+ "epoch": 14.95,
1320
+ "learning_rate": 7.88888888888889e-05,
1321
+ "loss": 2.0738,
1322
+ "step": 219000
1323
+ },
1324
+ {
1325
+ "epoch": 15.01,
1326
+ "learning_rate": 7.878787878787879e-05,
1327
+ "loss": 2.0294,
1328
+ "step": 220000
1329
+ },
1330
+ {
1331
+ "epoch": 15.08,
1332
+ "learning_rate": 7.868686868686869e-05,
1333
+ "loss": 2.0545,
1334
+ "step": 221000
1335
+ },
1336
+ {
1337
+ "epoch": 15.15,
1338
+ "learning_rate": 7.858585858585859e-05,
1339
+ "loss": 2.0275,
1340
+ "step": 222000
1341
+ },
1342
+ {
1343
+ "epoch": 15.22,
1344
+ "learning_rate": 7.848484848484848e-05,
1345
+ "loss": 2.0213,
1346
+ "step": 223000
1347
+ },
1348
+ {
1349
+ "epoch": 15.29,
1350
+ "learning_rate": 7.83838383838384e-05,
1351
+ "loss": 2.1165,
1352
+ "step": 224000
1353
+ },
1354
+ {
1355
+ "epoch": 15.36,
1356
+ "learning_rate": 7.828282828282829e-05,
1357
+ "loss": 2.2891,
1358
+ "step": 225000
1359
+ },
1360
+ {
1361
+ "epoch": 15.42,
1362
+ "learning_rate": 7.818181818181818e-05,
1363
+ "loss": 2.2343,
1364
+ "step": 226000
1365
+ },
1366
+ {
1367
+ "epoch": 15.49,
1368
+ "learning_rate": 7.808080808080809e-05,
1369
+ "loss": 2.1072,
1370
+ "step": 227000
1371
+ },
1372
+ {
1373
+ "epoch": 15.56,
1374
+ "learning_rate": 7.797979797979798e-05,
1375
+ "loss": 2.0385,
1376
+ "step": 228000
1377
+ },
1378
+ {
1379
+ "epoch": 15.63,
1380
+ "learning_rate": 7.787878787878789e-05,
1381
+ "loss": 2.0403,
1382
+ "step": 229000
1383
+ },
1384
+ {
1385
+ "epoch": 15.7,
1386
+ "learning_rate": 7.777777777777778e-05,
1387
+ "loss": 2.0622,
1388
+ "step": 230000
1389
+ },
1390
+ {
1391
+ "epoch": 15.76,
1392
+ "learning_rate": 7.767676767676769e-05,
1393
+ "loss": 2.064,
1394
+ "step": 231000
1395
+ },
1396
+ {
1397
+ "epoch": 15.83,
1398
+ "learning_rate": 7.757575757575758e-05,
1399
+ "loss": 2.0442,
1400
+ "step": 232000
1401
+ },
1402
+ {
1403
+ "epoch": 15.9,
1404
+ "learning_rate": 7.747474747474747e-05,
1405
+ "loss": 2.116,
1406
+ "step": 233000
1407
+ },
1408
+ {
1409
+ "epoch": 15.97,
1410
+ "learning_rate": 7.737373737373738e-05,
1411
+ "loss": 2.096,
1412
+ "step": 234000
1413
+ },
1414
+ {
1415
+ "epoch": 16.04,
1416
+ "learning_rate": 7.727272727272727e-05,
1417
+ "loss": 2.0111,
1418
+ "step": 235000
1419
+ },
1420
+ {
1421
+ "epoch": 16.11,
1422
+ "learning_rate": 7.717171717171718e-05,
1423
+ "loss": 2.0181,
1424
+ "step": 236000
1425
+ },
1426
+ {
1427
+ "epoch": 16.17,
1428
+ "learning_rate": 7.707070707070707e-05,
1429
+ "loss": 2.0254,
1430
+ "step": 237000
1431
+ },
1432
+ {
1433
+ "epoch": 16.24,
1434
+ "learning_rate": 7.696969696969696e-05,
1435
+ "loss": 2.0063,
1436
+ "step": 238000
1437
+ },
1438
+ {
1439
+ "epoch": 16.31,
1440
+ "learning_rate": 7.686868686868687e-05,
1441
+ "loss": 2.0242,
1442
+ "step": 239000
1443
+ },
1444
+ {
1445
+ "epoch": 16.38,
1446
+ "learning_rate": 7.676767676767676e-05,
1447
+ "loss": 2.0098,
1448
+ "step": 240000
1449
+ },
1450
+ {
1451
+ "epoch": 16.45,
1452
+ "learning_rate": 7.666666666666667e-05,
1453
+ "loss": 2.0107,
1454
+ "step": 241000
1455
+ },
1456
+ {
1457
+ "epoch": 16.52,
1458
+ "learning_rate": 7.656565656565658e-05,
1459
+ "loss": 1.9859,
1460
+ "step": 242000
1461
+ },
1462
+ {
1463
+ "epoch": 16.58,
1464
+ "learning_rate": 7.646464646464647e-05,
1465
+ "loss": 1.9935,
1466
+ "step": 243000
1467
+ },
1468
+ {
1469
+ "epoch": 16.65,
1470
+ "learning_rate": 7.636363636363637e-05,
1471
+ "loss": 1.9964,
1472
+ "step": 244000
1473
+ },
1474
+ {
1475
+ "epoch": 16.72,
1476
+ "learning_rate": 7.626262626262627e-05,
1477
+ "loss": 2.007,
1478
+ "step": 245000
1479
+ },
1480
+ {
1481
+ "epoch": 16.79,
1482
+ "learning_rate": 7.616161616161617e-05,
1483
+ "loss": 2.0081,
1484
+ "step": 246000
1485
+ },
1486
+ {
1487
+ "epoch": 16.86,
1488
+ "learning_rate": 7.606060606060607e-05,
1489
+ "loss": 1.9986,
1490
+ "step": 247000
1491
+ },
1492
+ {
1493
+ "epoch": 16.92,
1494
+ "learning_rate": 7.595959595959596e-05,
1495
+ "loss": 1.9793,
1496
+ "step": 248000
1497
+ },
1498
+ {
1499
+ "epoch": 16.99,
1500
+ "learning_rate": 7.585858585858586e-05,
1501
+ "loss": 1.9847,
1502
+ "step": 249000
1503
+ },
1504
+ {
1505
+ "epoch": 17.06,
1506
+ "learning_rate": 7.575757575757576e-05,
1507
+ "loss": 1.9761,
1508
+ "step": 250000
1509
+ },
1510
+ {
1511
+ "epoch": 17.13,
1512
+ "learning_rate": 7.565656565656566e-05,
1513
+ "loss": 1.9759,
1514
+ "step": 251000
1515
+ },
1516
+ {
1517
+ "epoch": 17.2,
1518
+ "learning_rate": 7.555555555555556e-05,
1519
+ "loss": 1.9798,
1520
+ "step": 252000
1521
+ },
1522
+ {
1523
+ "epoch": 17.27,
1524
+ "learning_rate": 7.545454545454545e-05,
1525
+ "loss": 1.9842,
1526
+ "step": 253000
1527
+ },
1528
+ {
1529
+ "epoch": 17.33,
1530
+ "learning_rate": 7.535353535353536e-05,
1531
+ "loss": 1.9833,
1532
+ "step": 254000
1533
+ },
1534
+ {
1535
+ "epoch": 17.4,
1536
+ "learning_rate": 7.525252525252525e-05,
1537
+ "loss": 1.9705,
1538
+ "step": 255000
1539
+ },
1540
+ {
1541
+ "epoch": 17.47,
1542
+ "learning_rate": 7.515151515151515e-05,
1543
+ "loss": 1.9836,
1544
+ "step": 256000
1545
+ },
1546
+ {
1547
+ "epoch": 17.54,
1548
+ "learning_rate": 7.505050505050505e-05,
1549
+ "loss": 1.9864,
1550
+ "step": 257000
1551
+ },
1552
+ {
1553
+ "epoch": 17.61,
1554
+ "learning_rate": 7.494949494949495e-05,
1555
+ "loss": 1.9785,
1556
+ "step": 258000
1557
+ },
1558
+ {
1559
+ "epoch": 17.68,
1560
+ "learning_rate": 7.484848484848486e-05,
1561
+ "loss": 1.9697,
1562
+ "step": 259000
1563
+ },
1564
+ {
1565
+ "epoch": 17.74,
1566
+ "learning_rate": 7.474747474747475e-05,
1567
+ "loss": 1.9712,
1568
+ "step": 260000
1569
+ },
1570
+ {
1571
+ "epoch": 17.81,
1572
+ "learning_rate": 7.464646464646466e-05,
1573
+ "loss": 1.9776,
1574
+ "step": 261000
1575
+ },
1576
+ {
1577
+ "epoch": 17.88,
1578
+ "learning_rate": 7.454545454545455e-05,
1579
+ "loss": 1.9699,
1580
+ "step": 262000
1581
+ },
1582
+ {
1583
+ "epoch": 17.95,
1584
+ "learning_rate": 7.444444444444444e-05,
1585
+ "loss": 1.9782,
1586
+ "step": 263000
1587
+ },
1588
+ {
1589
+ "epoch": 18.02,
1590
+ "learning_rate": 7.434343434343435e-05,
1591
+ "loss": 1.9702,
1592
+ "step": 264000
1593
+ },
1594
+ {
1595
+ "epoch": 18.09,
1596
+ "learning_rate": 7.424242424242424e-05,
1597
+ "loss": 1.9601,
1598
+ "step": 265000
1599
+ },
1600
+ {
1601
+ "epoch": 18.15,
1602
+ "learning_rate": 7.414141414141415e-05,
1603
+ "loss": 1.9608,
1604
+ "step": 266000
1605
+ },
1606
+ {
1607
+ "epoch": 18.22,
1608
+ "learning_rate": 7.404040404040404e-05,
1609
+ "loss": 1.9589,
1610
+ "step": 267000
1611
+ },
1612
+ {
1613
+ "epoch": 18.29,
1614
+ "learning_rate": 7.393939393939395e-05,
1615
+ "loss": 1.9528,
1616
+ "step": 268000
1617
+ },
1618
+ {
1619
+ "epoch": 18.36,
1620
+ "learning_rate": 7.383838383838384e-05,
1621
+ "loss": 1.9575,
1622
+ "step": 269000
1623
+ },
1624
+ {
1625
+ "epoch": 18.43,
1626
+ "learning_rate": 7.373737373737373e-05,
1627
+ "loss": 1.9953,
1628
+ "step": 270000
1629
+ },
1630
+ {
1631
+ "epoch": 18.49,
1632
+ "learning_rate": 7.363636363636364e-05,
1633
+ "loss": 1.9614,
1634
+ "step": 271000
1635
+ },
1636
+ {
1637
+ "epoch": 18.56,
1638
+ "learning_rate": 7.353535353535353e-05,
1639
+ "loss": 1.964,
1640
+ "step": 272000
1641
+ },
1642
+ {
1643
+ "epoch": 18.63,
1644
+ "learning_rate": 7.343434343434344e-05,
1645
+ "loss": 1.9651,
1646
+ "step": 273000
1647
+ },
1648
+ {
1649
+ "epoch": 18.7,
1650
+ "learning_rate": 7.333333333333333e-05,
1651
+ "loss": 1.9599,
1652
+ "step": 274000
1653
+ },
1654
+ {
1655
+ "epoch": 18.77,
1656
+ "learning_rate": 7.323232323232324e-05,
1657
+ "loss": 1.9755,
1658
+ "step": 275000
1659
+ },
1660
+ {
1661
+ "epoch": 18.84,
1662
+ "learning_rate": 7.313131313131314e-05,
1663
+ "loss": 1.9657,
1664
+ "step": 276000
1665
+ },
1666
+ {
1667
+ "epoch": 18.9,
1668
+ "learning_rate": 7.303030303030304e-05,
1669
+ "loss": 1.9657,
1670
+ "step": 277000
1671
+ },
1672
+ {
1673
+ "epoch": 18.97,
1674
+ "learning_rate": 7.292929292929293e-05,
1675
+ "loss": 1.9714,
1676
+ "step": 278000
1677
+ },
1678
+ {
1679
+ "epoch": 19.04,
1680
+ "learning_rate": 7.282828282828284e-05,
1681
+ "loss": 1.9643,
1682
+ "step": 279000
1683
+ },
1684
+ {
1685
+ "epoch": 19.11,
1686
+ "learning_rate": 7.272727272727273e-05,
1687
+ "loss": 1.9539,
1688
+ "step": 280000
1689
+ },
1690
+ {
1691
+ "epoch": 19.18,
1692
+ "learning_rate": 7.262626262626263e-05,
1693
+ "loss": 1.9581,
1694
+ "step": 281000
1695
+ },
1696
+ {
1697
+ "epoch": 19.25,
1698
+ "learning_rate": 7.252525252525253e-05,
1699
+ "loss": 1.9495,
1700
+ "step": 282000
1701
+ },
1702
+ {
1703
+ "epoch": 19.31,
1704
+ "learning_rate": 7.242424242424243e-05,
1705
+ "loss": 1.9487,
1706
+ "step": 283000
1707
+ },
1708
+ {
1709
+ "epoch": 19.38,
1710
+ "learning_rate": 7.232323232323233e-05,
1711
+ "loss": 1.9573,
1712
+ "step": 284000
1713
+ },
1714
+ {
1715
+ "epoch": 19.45,
1716
+ "learning_rate": 7.222222222222222e-05,
1717
+ "loss": 1.9594,
1718
+ "step": 285000
1719
+ },
1720
+ {
1721
+ "epoch": 19.52,
1722
+ "learning_rate": 7.212121212121213e-05,
1723
+ "loss": 1.9636,
1724
+ "step": 286000
1725
+ },
1726
+ {
1727
+ "epoch": 19.59,
1728
+ "learning_rate": 7.202020202020202e-05,
1729
+ "loss": 1.9613,
1730
+ "step": 287000
1731
+ },
1732
+ {
1733
+ "epoch": 19.65,
1734
+ "learning_rate": 7.191919191919192e-05,
1735
+ "loss": 1.9623,
1736
+ "step": 288000
1737
+ },
1738
+ {
1739
+ "epoch": 19.72,
1740
+ "learning_rate": 7.181818181818182e-05,
1741
+ "loss": 1.9493,
1742
+ "step": 289000
1743
+ },
1744
+ {
1745
+ "epoch": 19.79,
1746
+ "learning_rate": 7.171717171717171e-05,
1747
+ "loss": 1.9615,
1748
+ "step": 290000
1749
+ },
1750
+ {
1751
+ "epoch": 19.86,
1752
+ "learning_rate": 7.161616161616162e-05,
1753
+ "loss": 1.9681,
1754
+ "step": 291000
1755
+ },
1756
+ {
1757
+ "epoch": 19.93,
1758
+ "learning_rate": 7.151515151515152e-05,
1759
+ "loss": 1.962,
1760
+ "step": 292000
1761
+ },
1762
+ {
1763
+ "epoch": 20.0,
1764
+ "learning_rate": 7.141414141414143e-05,
1765
+ "loss": 1.9621,
1766
+ "step": 293000
1767
+ },
1768
+ {
1769
+ "epoch": 20.06,
1770
+ "learning_rate": 7.131313131313132e-05,
1771
+ "loss": 1.9574,
1772
+ "step": 294000
1773
+ },
1774
+ {
1775
+ "epoch": 20.13,
1776
+ "learning_rate": 7.121212121212121e-05,
1777
+ "loss": 1.9537,
1778
+ "step": 295000
1779
+ },
1780
+ {
1781
+ "epoch": 20.2,
1782
+ "learning_rate": 7.111111111111112e-05,
1783
+ "loss": 1.9443,
1784
+ "step": 296000
1785
+ },
1786
+ {
1787
+ "epoch": 20.27,
1788
+ "learning_rate": 7.101010101010101e-05,
1789
+ "loss": 1.9501,
1790
+ "step": 297000
1791
+ },
1792
+ {
1793
+ "epoch": 20.34,
1794
+ "learning_rate": 7.090909090909092e-05,
1795
+ "loss": 1.9529,
1796
+ "step": 298000
1797
+ },
1798
+ {
1799
+ "epoch": 20.41,
1800
+ "learning_rate": 7.080808080808081e-05,
1801
+ "loss": 1.9457,
1802
+ "step": 299000
1803
+ },
1804
+ {
1805
+ "epoch": 20.47,
1806
+ "learning_rate": 7.07070707070707e-05,
1807
+ "loss": 1.9563,
1808
+ "step": 300000
1809
+ },
1810
+ {
1811
+ "epoch": 20.54,
1812
+ "learning_rate": 7.060606060606061e-05,
1813
+ "loss": 1.9558,
1814
+ "step": 301000
1815
+ },
1816
+ {
1817
+ "epoch": 20.61,
1818
+ "learning_rate": 7.05050505050505e-05,
1819
+ "loss": 1.9429,
1820
+ "step": 302000
1821
+ },
1822
+ {
1823
+ "epoch": 20.68,
1824
+ "learning_rate": 7.040404040404041e-05,
1825
+ "loss": 1.9544,
1826
+ "step": 303000
1827
+ },
1828
+ {
1829
+ "epoch": 20.75,
1830
+ "learning_rate": 7.03030303030303e-05,
1831
+ "loss": 1.9502,
1832
+ "step": 304000
1833
+ },
1834
+ {
1835
+ "epoch": 20.81,
1836
+ "learning_rate": 7.020202020202021e-05,
1837
+ "loss": 1.9402,
1838
+ "step": 305000
1839
+ },
1840
+ {
1841
+ "epoch": 20.88,
1842
+ "learning_rate": 7.01010101010101e-05,
1843
+ "loss": 1.9467,
1844
+ "step": 306000
1845
+ },
1846
+ {
1847
+ "epoch": 20.95,
1848
+ "learning_rate": 7e-05,
1849
+ "loss": 1.9576,
1850
+ "step": 307000
1851
+ },
1852
+ {
1853
+ "epoch": 21.02,
1854
+ "learning_rate": 6.98989898989899e-05,
1855
+ "loss": 1.9497,
1856
+ "step": 308000
1857
+ },
1858
+ {
1859
+ "epoch": 21.09,
1860
+ "learning_rate": 6.97979797979798e-05,
1861
+ "loss": 1.9299,
1862
+ "step": 309000
1863
+ },
1864
+ {
1865
+ "epoch": 21.16,
1866
+ "learning_rate": 6.96969696969697e-05,
1867
+ "loss": 1.931,
1868
+ "step": 310000
1869
+ },
1870
+ {
1871
+ "epoch": 21.22,
1872
+ "learning_rate": 6.95959595959596e-05,
1873
+ "loss": 1.9313,
1874
+ "step": 311000
1875
+ },
1876
+ {
1877
+ "epoch": 21.29,
1878
+ "learning_rate": 6.94949494949495e-05,
1879
+ "loss": 1.9371,
1880
+ "step": 312000
1881
+ },
1882
+ {
1883
+ "epoch": 21.36,
1884
+ "learning_rate": 6.93939393939394e-05,
1885
+ "loss": 1.9374,
1886
+ "step": 313000
1887
+ },
1888
+ {
1889
+ "epoch": 21.43,
1890
+ "learning_rate": 6.92929292929293e-05,
1891
+ "loss": 1.9464,
1892
+ "step": 314000
1893
+ },
1894
+ {
1895
+ "epoch": 21.5,
1896
+ "learning_rate": 6.91919191919192e-05,
1897
+ "loss": 1.9375,
1898
+ "step": 315000
1899
+ },
1900
+ {
1901
+ "epoch": 21.57,
1902
+ "learning_rate": 6.90909090909091e-05,
1903
+ "loss": 1.9554,
1904
+ "step": 316000
1905
+ },
1906
+ {
1907
+ "epoch": 21.63,
1908
+ "learning_rate": 6.898989898989899e-05,
1909
+ "loss": 1.9501,
1910
+ "step": 317000
1911
+ },
1912
+ {
1913
+ "epoch": 21.7,
1914
+ "learning_rate": 6.88888888888889e-05,
1915
+ "loss": 1.9453,
1916
+ "step": 318000
1917
+ },
1918
+ {
1919
+ "epoch": 21.77,
1920
+ "learning_rate": 6.878787878787879e-05,
1921
+ "loss": 1.948,
1922
+ "step": 319000
1923
+ },
1924
+ {
1925
+ "epoch": 21.84,
1926
+ "learning_rate": 6.86868686868687e-05,
1927
+ "loss": 1.9421,
1928
+ "step": 320000
1929
+ },
1930
+ {
1931
+ "epoch": 21.91,
1932
+ "learning_rate": 6.858585858585859e-05,
1933
+ "loss": 1.9427,
1934
+ "step": 321000
1935
+ },
1936
+ {
1937
+ "epoch": 21.98,
1938
+ "learning_rate": 6.848484848484848e-05,
1939
+ "loss": 1.942,
1940
+ "step": 322000
1941
+ },
1942
+ {
1943
+ "epoch": 22.04,
1944
+ "learning_rate": 6.838383838383839e-05,
1945
+ "loss": 1.9254,
1946
+ "step": 323000
1947
+ },
1948
+ {
1949
+ "epoch": 22.11,
1950
+ "learning_rate": 6.828282828282828e-05,
1951
+ "loss": 1.9229,
1952
+ "step": 324000
1953
+ },
1954
+ {
1955
+ "epoch": 22.18,
1956
+ "learning_rate": 6.818181818181818e-05,
1957
+ "loss": 1.9383,
1958
+ "step": 325000
1959
+ },
1960
+ {
1961
+ "epoch": 22.25,
1962
+ "learning_rate": 6.808080808080809e-05,
1963
+ "loss": 1.93,
1964
+ "step": 326000
1965
+ },
1966
+ {
1967
+ "epoch": 22.32,
1968
+ "learning_rate": 6.797979797979798e-05,
1969
+ "loss": 1.9283,
1970
+ "step": 327000
1971
+ },
1972
+ {
1973
+ "epoch": 22.38,
1974
+ "learning_rate": 6.787878787878789e-05,
1975
+ "loss": 1.9212,
1976
+ "step": 328000
1977
+ },
1978
+ {
1979
+ "epoch": 22.45,
1980
+ "learning_rate": 6.777777777777778e-05,
1981
+ "loss": 1.9378,
1982
+ "step": 329000
1983
+ },
1984
+ {
1985
+ "epoch": 22.52,
1986
+ "learning_rate": 6.767676767676769e-05,
1987
+ "loss": 1.9261,
1988
+ "step": 330000
1989
+ },
1990
+ {
1991
+ "epoch": 22.59,
1992
+ "learning_rate": 6.757575757575758e-05,
1993
+ "loss": 1.9309,
1994
+ "step": 331000
1995
+ },
1996
+ {
1997
+ "epoch": 22.66,
1998
+ "learning_rate": 6.747474747474747e-05,
1999
+ "loss": 1.9382,
2000
+ "step": 332000
2001
+ },
2002
+ {
2003
+ "epoch": 22.73,
2004
+ "learning_rate": 6.737373737373738e-05,
2005
+ "loss": 1.9318,
2006
+ "step": 333000
2007
+ },
2008
+ {
2009
+ "epoch": 22.79,
2010
+ "learning_rate": 6.727272727272727e-05,
2011
+ "loss": 1.9335,
2012
+ "step": 334000
2013
+ },
2014
+ {
2015
+ "epoch": 22.86,
2016
+ "learning_rate": 6.717171717171718e-05,
2017
+ "loss": 1.9274,
2018
+ "step": 335000
2019
+ },
2020
+ {
2021
+ "epoch": 22.93,
2022
+ "learning_rate": 6.707070707070707e-05,
2023
+ "loss": 1.9596,
2024
+ "step": 336000
2025
+ },
2026
+ {
2027
+ "epoch": 23.0,
2028
+ "learning_rate": 6.696969696969696e-05,
2029
+ "loss": 1.958,
2030
+ "step": 337000
2031
+ },
2032
+ {
2033
+ "epoch": 23.07,
2034
+ "learning_rate": 6.686868686868687e-05,
2035
+ "loss": 1.9141,
2036
+ "step": 338000
2037
+ },
2038
+ {
2039
+ "epoch": 23.14,
2040
+ "learning_rate": 6.676767676767676e-05,
2041
+ "loss": 1.9159,
2042
+ "step": 339000
2043
+ },
2044
+ {
2045
+ "epoch": 23.2,
2046
+ "learning_rate": 6.666666666666667e-05,
2047
+ "loss": 1.9139,
2048
+ "step": 340000
2049
+ },
2050
+ {
2051
+ "epoch": 23.27,
2052
+ "learning_rate": 6.656565656565656e-05,
2053
+ "loss": 1.9245,
2054
+ "step": 341000
2055
+ },
2056
+ {
2057
+ "epoch": 23.34,
2058
+ "learning_rate": 6.646464646464647e-05,
2059
+ "loss": 1.9372,
2060
+ "step": 342000
2061
+ },
2062
+ {
2063
+ "epoch": 23.41,
2064
+ "learning_rate": 6.636363636363638e-05,
2065
+ "loss": 1.9581,
2066
+ "step": 343000
2067
+ },
2068
+ {
2069
+ "epoch": 23.48,
2070
+ "learning_rate": 6.626262626262627e-05,
2071
+ "loss": 1.9318,
2072
+ "step": 344000
2073
+ },
2074
+ {
2075
+ "epoch": 23.54,
2076
+ "learning_rate": 6.616161616161617e-05,
2077
+ "loss": 1.9198,
2078
+ "step": 345000
2079
+ },
2080
+ {
2081
+ "epoch": 23.61,
2082
+ "learning_rate": 6.606060606060607e-05,
2083
+ "loss": 1.9282,
2084
+ "step": 346000
2085
+ },
2086
+ {
2087
+ "epoch": 23.68,
2088
+ "learning_rate": 6.595959595959596e-05,
2089
+ "loss": 1.9436,
2090
+ "step": 347000
2091
+ },
2092
+ {
2093
+ "epoch": 23.75,
2094
+ "learning_rate": 6.585858585858587e-05,
2095
+ "loss": 1.9203,
2096
+ "step": 348000
2097
+ },
2098
+ {
2099
+ "epoch": 23.82,
2100
+ "learning_rate": 6.575757575757576e-05,
2101
+ "loss": 1.9366,
2102
+ "step": 349000
2103
+ },
2104
+ {
2105
+ "epoch": 23.89,
2106
+ "learning_rate": 6.565656565656566e-05,
2107
+ "loss": 1.9428,
2108
+ "step": 350000
2109
+ },
2110
+ {
2111
+ "epoch": 23.95,
2112
+ "learning_rate": 6.555555555555556e-05,
2113
+ "loss": 1.9318,
2114
+ "step": 351000
2115
+ },
2116
+ {
2117
+ "epoch": 24.02,
2118
+ "learning_rate": 6.545454545454546e-05,
2119
+ "loss": 1.9355,
2120
+ "step": 352000
2121
+ },
2122
+ {
2123
+ "epoch": 24.09,
2124
+ "learning_rate": 6.535353535353536e-05,
2125
+ "loss": 1.9145,
2126
+ "step": 353000
2127
+ },
2128
+ {
2129
+ "epoch": 24.16,
2130
+ "learning_rate": 6.525252525252525e-05,
2131
+ "loss": 1.9115,
2132
+ "step": 354000
2133
+ },
2134
+ {
2135
+ "epoch": 24.23,
2136
+ "learning_rate": 6.515151515151516e-05,
2137
+ "loss": 1.9213,
2138
+ "step": 355000
2139
+ },
2140
+ {
2141
+ "epoch": 24.3,
2142
+ "learning_rate": 6.505050505050505e-05,
2143
+ "loss": 1.9245,
2144
+ "step": 356000
2145
+ },
2146
+ {
2147
+ "epoch": 24.36,
2148
+ "learning_rate": 6.494949494949495e-05,
2149
+ "loss": 1.917,
2150
+ "step": 357000
2151
+ },
2152
+ {
2153
+ "epoch": 24.43,
2154
+ "learning_rate": 6.484848484848485e-05,
2155
+ "loss": 1.9185,
2156
+ "step": 358000
2157
+ },
2158
+ {
2159
+ "epoch": 24.5,
2160
+ "learning_rate": 6.474747474747474e-05,
2161
+ "loss": 1.9142,
2162
+ "step": 359000
2163
+ },
2164
+ {
2165
+ "epoch": 24.57,
2166
+ "learning_rate": 6.464646464646466e-05,
2167
+ "loss": 1.9252,
2168
+ "step": 360000
2169
+ },
2170
+ {
2171
+ "epoch": 24.64,
2172
+ "learning_rate": 6.454545454545455e-05,
2173
+ "loss": 1.9239,
2174
+ "step": 361000
2175
+ },
2176
+ {
2177
+ "epoch": 24.7,
2178
+ "learning_rate": 6.444444444444446e-05,
2179
+ "loss": 1.9295,
2180
+ "step": 362000
2181
+ },
2182
+ {
2183
+ "epoch": 24.77,
2184
+ "learning_rate": 6.434343434343435e-05,
2185
+ "loss": 1.9208,
2186
+ "step": 363000
2187
+ },
2188
+ {
2189
+ "epoch": 24.84,
2190
+ "learning_rate": 6.424242424242424e-05,
2191
+ "loss": 1.9248,
2192
+ "step": 364000
2193
+ },
2194
+ {
2195
+ "epoch": 24.91,
2196
+ "learning_rate": 6.414141414141415e-05,
2197
+ "loss": 1.9252,
2198
+ "step": 365000
2199
+ },
2200
+ {
2201
+ "epoch": 24.98,
2202
+ "learning_rate": 6.404040404040404e-05,
2203
+ "loss": 1.9157,
2204
+ "step": 366000
2205
+ },
2206
+ {
2207
+ "epoch": 25.05,
2208
+ "learning_rate": 6.393939393939395e-05,
2209
+ "loss": 1.9075,
2210
+ "step": 367000
2211
+ },
2212
+ {
2213
+ "epoch": 25.11,
2214
+ "learning_rate": 6.383838383838384e-05,
2215
+ "loss": 1.9123,
2216
+ "step": 368000
2217
+ },
2218
+ {
2219
+ "epoch": 25.18,
2220
+ "learning_rate": 6.373737373737373e-05,
2221
+ "loss": 1.9076,
2222
+ "step": 369000
2223
+ },
2224
+ {
2225
+ "epoch": 25.25,
2226
+ "learning_rate": 6.363636363636364e-05,
2227
+ "loss": 1.9021,
2228
+ "step": 370000
2229
+ },
2230
+ {
2231
+ "epoch": 25.32,
2232
+ "learning_rate": 6.353535353535353e-05,
2233
+ "loss": 1.908,
2234
+ "step": 371000
2235
+ },
2236
+ {
2237
+ "epoch": 25.39,
2238
+ "learning_rate": 6.343434343434344e-05,
2239
+ "loss": 1.9114,
2240
+ "step": 372000
2241
+ },
2242
+ {
2243
+ "epoch": 25.46,
2244
+ "learning_rate": 6.333333333333333e-05,
2245
+ "loss": 1.9109,
2246
+ "step": 373000
2247
+ },
2248
+ {
2249
+ "epoch": 25.52,
2250
+ "learning_rate": 6.323232323232323e-05,
2251
+ "loss": 1.9256,
2252
+ "step": 374000
2253
+ },
2254
+ {
2255
+ "epoch": 25.59,
2256
+ "learning_rate": 6.313131313131313e-05,
2257
+ "loss": 1.8997,
2258
+ "step": 375000
2259
+ },
2260
+ {
2261
+ "epoch": 25.66,
2262
+ "learning_rate": 6.303030303030302e-05,
2263
+ "loss": 1.9127,
2264
+ "step": 376000
2265
+ },
2266
+ {
2267
+ "epoch": 25.73,
2268
+ "learning_rate": 6.292929292929294e-05,
2269
+ "loss": 1.9078,
2270
+ "step": 377000
2271
+ },
2272
+ {
2273
+ "epoch": 25.8,
2274
+ "learning_rate": 6.282828282828284e-05,
2275
+ "loss": 1.9061,
2276
+ "step": 378000
2277
+ },
2278
+ {
2279
+ "epoch": 25.87,
2280
+ "learning_rate": 6.272727272727273e-05,
2281
+ "loss": 1.9052,
2282
+ "step": 379000
2283
+ },
2284
+ {
2285
+ "epoch": 25.93,
2286
+ "learning_rate": 6.262626262626264e-05,
2287
+ "loss": 1.9222,
2288
+ "step": 380000
2289
+ },
2290
+ {
2291
+ "epoch": 26.0,
2292
+ "learning_rate": 6.252525252525253e-05,
2293
+ "loss": 1.9265,
2294
+ "step": 381000
2295
+ },
2296
+ {
2297
+ "epoch": 26.07,
2298
+ "learning_rate": 6.242424242424243e-05,
2299
+ "loss": 1.8832,
2300
+ "step": 382000
2301
+ },
2302
+ {
2303
+ "epoch": 26.14,
2304
+ "learning_rate": 6.232323232323233e-05,
2305
+ "loss": 1.8892,
2306
+ "step": 383000
2307
+ },
2308
+ {
2309
+ "epoch": 26.21,
2310
+ "learning_rate": 6.222222222222222e-05,
2311
+ "loss": 1.9029,
2312
+ "step": 384000
2313
+ },
2314
+ {
2315
+ "epoch": 26.27,
2316
+ "learning_rate": 6.212121212121213e-05,
2317
+ "loss": 1.8877,
2318
+ "step": 385000
2319
+ },
2320
+ {
2321
+ "epoch": 26.34,
2322
+ "learning_rate": 6.202020202020202e-05,
2323
+ "loss": 1.8896,
2324
+ "step": 386000
2325
+ },
2326
+ {
2327
+ "epoch": 26.41,
2328
+ "learning_rate": 6.191919191919192e-05,
2329
+ "loss": 1.8923,
2330
+ "step": 387000
2331
+ },
2332
+ {
2333
+ "epoch": 26.48,
2334
+ "learning_rate": 6.181818181818182e-05,
2335
+ "loss": 1.893,
2336
+ "step": 388000
2337
+ },
2338
+ {
2339
+ "epoch": 26.55,
2340
+ "learning_rate": 6.171717171717172e-05,
2341
+ "loss": 1.8968,
2342
+ "step": 389000
2343
+ },
2344
+ {
2345
+ "epoch": 26.62,
2346
+ "learning_rate": 6.161616161616162e-05,
2347
+ "loss": 1.8984,
2348
+ "step": 390000
2349
+ },
2350
+ {
2351
+ "epoch": 26.68,
2352
+ "learning_rate": 6.151515151515151e-05,
2353
+ "loss": 1.8957,
2354
+ "step": 391000
2355
+ },
2356
+ {
2357
+ "epoch": 26.75,
2358
+ "learning_rate": 6.141414141414142e-05,
2359
+ "loss": 1.9199,
2360
+ "step": 392000
2361
+ },
2362
+ {
2363
+ "epoch": 26.82,
2364
+ "learning_rate": 6.131313131313131e-05,
2365
+ "loss": 1.9087,
2366
+ "step": 393000
2367
+ },
2368
+ {
2369
+ "epoch": 26.89,
2370
+ "learning_rate": 6.121212121212121e-05,
2371
+ "loss": 1.8965,
2372
+ "step": 394000
2373
+ },
2374
+ {
2375
+ "epoch": 26.96,
2376
+ "learning_rate": 6.111111111111112e-05,
2377
+ "loss": 1.9072,
2378
+ "step": 395000
2379
+ },
2380
+ {
2381
+ "epoch": 27.03,
2382
+ "learning_rate": 6.101010101010102e-05,
2383
+ "loss": 1.8876,
2384
+ "step": 396000
2385
+ },
2386
+ {
2387
+ "epoch": 27.09,
2388
+ "learning_rate": 6.090909090909091e-05,
2389
+ "loss": 1.8765,
2390
+ "step": 397000
2391
+ },
2392
+ {
2393
+ "epoch": 27.16,
2394
+ "learning_rate": 6.080808080808081e-05,
2395
+ "loss": 1.8807,
2396
+ "step": 398000
2397
+ },
2398
+ {
2399
+ "epoch": 27.23,
2400
+ "learning_rate": 6.070707070707071e-05,
2401
+ "loss": 1.8844,
2402
+ "step": 399000
2403
+ },
2404
+ {
2405
+ "epoch": 27.3,
2406
+ "learning_rate": 6.060606060606061e-05,
2407
+ "loss": 1.8854,
2408
+ "step": 400000
2409
+ },
2410
+ {
2411
+ "epoch": 27.37,
2412
+ "learning_rate": 6.050505050505051e-05,
2413
+ "loss": 1.8842,
2414
+ "step": 401000
2415
+ },
2416
+ {
2417
+ "epoch": 27.43,
2418
+ "learning_rate": 6.040404040404041e-05,
2419
+ "loss": 1.8819,
2420
+ "step": 402000
2421
+ },
2422
+ {
2423
+ "epoch": 27.5,
2424
+ "learning_rate": 6.03030303030303e-05,
2425
+ "loss": 1.8845,
2426
+ "step": 403000
2427
+ },
2428
+ {
2429
+ "epoch": 27.57,
2430
+ "learning_rate": 6.02020202020202e-05,
2431
+ "loss": 1.8937,
2432
+ "step": 404000
2433
+ },
2434
+ {
2435
+ "epoch": 27.64,
2436
+ "learning_rate": 6.01010101010101e-05,
2437
+ "loss": 1.8968,
2438
+ "step": 405000
2439
+ },
2440
+ {
2441
+ "epoch": 27.71,
2442
+ "learning_rate": 6e-05,
2443
+ "loss": 1.8977,
2444
+ "step": 406000
2445
+ },
2446
+ {
2447
+ "epoch": 27.78,
2448
+ "learning_rate": 5.98989898989899e-05,
2449
+ "loss": 1.9079,
2450
+ "step": 407000
2451
+ },
2452
+ {
2453
+ "epoch": 27.84,
2454
+ "learning_rate": 5.97979797979798e-05,
2455
+ "loss": 1.8881,
2456
+ "step": 408000
2457
+ },
2458
+ {
2459
+ "epoch": 27.91,
2460
+ "learning_rate": 5.969696969696969e-05,
2461
+ "loss": 1.8946,
2462
+ "step": 409000
2463
+ },
2464
+ {
2465
+ "epoch": 27.98,
2466
+ "learning_rate": 5.959595959595959e-05,
2467
+ "loss": 1.8977,
2468
+ "step": 410000
2469
+ },
2470
+ {
2471
+ "epoch": 28.05,
2472
+ "learning_rate": 5.949494949494949e-05,
2473
+ "loss": 1.8837,
2474
+ "step": 411000
2475
+ },
2476
+ {
2477
+ "epoch": 28.12,
2478
+ "learning_rate": 5.93939393939394e-05,
2479
+ "loss": 1.8735,
2480
+ "step": 412000
2481
+ },
2482
+ {
2483
+ "epoch": 28.19,
2484
+ "learning_rate": 5.92929292929293e-05,
2485
+ "loss": 1.8734,
2486
+ "step": 413000
2487
+ },
2488
+ {
2489
+ "epoch": 28.25,
2490
+ "learning_rate": 5.91919191919192e-05,
2491
+ "loss": 1.8736,
2492
+ "step": 414000
2493
+ },
2494
+ {
2495
+ "epoch": 28.32,
2496
+ "learning_rate": 5.90909090909091e-05,
2497
+ "loss": 1.876,
2498
+ "step": 415000
2499
+ },
2500
+ {
2501
+ "epoch": 28.39,
2502
+ "learning_rate": 5.8989898989898996e-05,
2503
+ "loss": 1.8764,
2504
+ "step": 416000
2505
+ },
2506
+ {
2507
+ "epoch": 28.46,
2508
+ "learning_rate": 5.8888888888888896e-05,
2509
+ "loss": 1.8784,
2510
+ "step": 417000
2511
+ },
2512
+ {
2513
+ "epoch": 28.53,
2514
+ "learning_rate": 5.878787878787879e-05,
2515
+ "loss": 1.8773,
2516
+ "step": 418000
2517
+ },
2518
+ {
2519
+ "epoch": 28.59,
2520
+ "learning_rate": 5.868686868686869e-05,
2521
+ "loss": 1.8866,
2522
+ "step": 419000
2523
+ },
2524
+ {
2525
+ "epoch": 28.66,
2526
+ "learning_rate": 5.858585858585859e-05,
2527
+ "loss": 1.8784,
2528
+ "step": 420000
2529
+ },
2530
+ {
2531
+ "epoch": 28.73,
2532
+ "learning_rate": 5.848484848484849e-05,
2533
+ "loss": 1.8731,
2534
+ "step": 421000
2535
+ },
2536
+ {
2537
+ "epoch": 28.8,
2538
+ "learning_rate": 5.8383838383838386e-05,
2539
+ "loss": 1.8827,
2540
+ "step": 422000
2541
+ },
2542
+ {
2543
+ "epoch": 28.87,
2544
+ "learning_rate": 5.8282828282828286e-05,
2545
+ "loss": 1.8921,
2546
+ "step": 423000
2547
+ },
2548
+ {
2549
+ "epoch": 28.94,
2550
+ "learning_rate": 5.818181818181818e-05,
2551
+ "loss": 1.8861,
2552
+ "step": 424000
2553
+ },
2554
+ {
2555
+ "epoch": 29.0,
2556
+ "learning_rate": 5.808080808080808e-05,
2557
+ "loss": 1.8838,
2558
+ "step": 425000
2559
+ },
2560
+ {
2561
+ "epoch": 29.07,
2562
+ "learning_rate": 5.797979797979798e-05,
2563
+ "loss": 1.8487,
2564
+ "step": 426000
2565
+ },
2566
+ {
2567
+ "epoch": 29.14,
2568
+ "learning_rate": 5.787878787878788e-05,
2569
+ "loss": 1.8684,
2570
+ "step": 427000
2571
+ },
2572
+ {
2573
+ "epoch": 29.21,
2574
+ "learning_rate": 5.7777777777777776e-05,
2575
+ "loss": 1.8671,
2576
+ "step": 428000
2577
+ },
2578
+ {
2579
+ "epoch": 29.28,
2580
+ "learning_rate": 5.767676767676768e-05,
2581
+ "loss": 1.8728,
2582
+ "step": 429000
2583
+ },
2584
+ {
2585
+ "epoch": 29.35,
2586
+ "learning_rate": 5.757575757575758e-05,
2587
+ "loss": 1.8634,
2588
+ "step": 430000
2589
+ },
2590
+ {
2591
+ "epoch": 29.41,
2592
+ "learning_rate": 5.747474747474748e-05,
2593
+ "loss": 1.8702,
2594
+ "step": 431000
2595
+ },
2596
+ {
2597
+ "epoch": 29.48,
2598
+ "learning_rate": 5.737373737373738e-05,
2599
+ "loss": 1.8626,
2600
+ "step": 432000
2601
+ },
2602
+ {
2603
+ "epoch": 29.55,
2604
+ "learning_rate": 5.727272727272728e-05,
2605
+ "loss": 1.8644,
2606
+ "step": 433000
2607
+ },
2608
+ {
2609
+ "epoch": 29.62,
2610
+ "learning_rate": 5.717171717171717e-05,
2611
+ "loss": 1.8648,
2612
+ "step": 434000
2613
+ },
2614
+ {
2615
+ "epoch": 29.69,
2616
+ "learning_rate": 5.707070707070707e-05,
2617
+ "loss": 1.8812,
2618
+ "step": 435000
2619
+ },
2620
+ {
2621
+ "epoch": 29.75,
2622
+ "learning_rate": 5.696969696969697e-05,
2623
+ "loss": 1.8792,
2624
+ "step": 436000
2625
+ },
2626
+ {
2627
+ "epoch": 29.82,
2628
+ "learning_rate": 5.686868686868687e-05,
2629
+ "loss": 1.8721,
2630
+ "step": 437000
2631
+ },
2632
+ {
2633
+ "epoch": 29.89,
2634
+ "learning_rate": 5.676767676767677e-05,
2635
+ "loss": 1.8738,
2636
+ "step": 438000
2637
+ },
2638
+ {
2639
+ "epoch": 29.96,
2640
+ "learning_rate": 5.666666666666667e-05,
2641
+ "loss": 1.8698,
2642
+ "step": 439000
2643
+ },
2644
+ {
2645
+ "epoch": 30.03,
2646
+ "learning_rate": 5.6565656565656563e-05,
2647
+ "loss": 1.8668,
2648
+ "step": 440000
2649
+ },
2650
+ {
2651
+ "epoch": 30.1,
2652
+ "learning_rate": 5.646464646464646e-05,
2653
+ "loss": 1.8679,
2654
+ "step": 441000
2655
+ },
2656
+ {
2657
+ "epoch": 30.16,
2658
+ "learning_rate": 5.636363636363636e-05,
2659
+ "loss": 1.8553,
2660
+ "step": 442000
2661
+ },
2662
+ {
2663
+ "epoch": 30.23,
2664
+ "learning_rate": 5.626262626262626e-05,
2665
+ "loss": 1.8619,
2666
+ "step": 443000
2667
+ },
2668
+ {
2669
+ "epoch": 30.3,
2670
+ "learning_rate": 5.616161616161616e-05,
2671
+ "loss": 1.8603,
2672
+ "step": 444000
2673
+ },
2674
+ {
2675
+ "epoch": 30.37,
2676
+ "learning_rate": 5.606060606060606e-05,
2677
+ "loss": 1.8522,
2678
+ "step": 445000
2679
+ },
2680
+ {
2681
+ "epoch": 30.44,
2682
+ "learning_rate": 5.595959595959597e-05,
2683
+ "loss": 1.8555,
2684
+ "step": 446000
2685
+ },
2686
+ {
2687
+ "epoch": 30.51,
2688
+ "learning_rate": 5.5858585858585867e-05,
2689
+ "loss": 1.8652,
2690
+ "step": 447000
2691
+ },
2692
+ {
2693
+ "epoch": 30.57,
2694
+ "learning_rate": 5.5757575757575766e-05,
2695
+ "loss": 1.869,
2696
+ "step": 448000
2697
+ },
2698
+ {
2699
+ "epoch": 30.64,
2700
+ "learning_rate": 5.5656565656565666e-05,
2701
+ "loss": 1.8724,
2702
+ "step": 449000
2703
+ },
2704
+ {
2705
+ "epoch": 30.71,
2706
+ "learning_rate": 5.555555555555556e-05,
2707
+ "loss": 1.872,
2708
+ "step": 450000
2709
+ },
2710
+ {
2711
+ "epoch": 30.78,
2712
+ "learning_rate": 5.545454545454546e-05,
2713
+ "loss": 1.8835,
2714
+ "step": 451000
2715
+ },
2716
+ {
2717
+ "epoch": 30.85,
2718
+ "learning_rate": 5.535353535353536e-05,
2719
+ "loss": 1.8809,
2720
+ "step": 452000
2721
+ },
2722
+ {
2723
+ "epoch": 30.92,
2724
+ "learning_rate": 5.525252525252526e-05,
2725
+ "loss": 1.8676,
2726
+ "step": 453000
2727
+ },
2728
+ {
2729
+ "epoch": 30.98,
2730
+ "learning_rate": 5.5151515151515156e-05,
2731
+ "loss": 1.8664,
2732
+ "step": 454000
2733
+ },
2734
+ {
2735
+ "epoch": 31.05,
2736
+ "learning_rate": 5.5050505050505056e-05,
2737
+ "loss": 1.8574,
2738
+ "step": 455000
2739
+ },
2740
+ {
2741
+ "epoch": 31.12,
2742
+ "learning_rate": 5.494949494949495e-05,
2743
+ "loss": 1.8459,
2744
+ "step": 456000
2745
+ },
2746
+ {
2747
+ "epoch": 31.19,
2748
+ "learning_rate": 5.484848484848485e-05,
2749
+ "loss": 1.8499,
2750
+ "step": 457000
2751
+ },
2752
+ {
2753
+ "epoch": 31.26,
2754
+ "learning_rate": 5.474747474747475e-05,
2755
+ "loss": 1.8599,
2756
+ "step": 458000
2757
+ },
2758
+ {
2759
+ "epoch": 31.32,
2760
+ "learning_rate": 5.464646464646465e-05,
2761
+ "loss": 1.8599,
2762
+ "step": 459000
2763
+ },
2764
+ {
2765
+ "epoch": 31.39,
2766
+ "learning_rate": 5.4545454545454546e-05,
2767
+ "loss": 1.8497,
2768
+ "step": 460000
2769
+ },
2770
+ {
2771
+ "epoch": 31.46,
2772
+ "learning_rate": 5.4444444444444446e-05,
2773
+ "loss": 1.8446,
2774
+ "step": 461000
2775
+ },
2776
+ {
2777
+ "epoch": 31.53,
2778
+ "learning_rate": 5.434343434343434e-05,
2779
+ "loss": 1.8597,
2780
+ "step": 462000
2781
+ },
2782
+ {
2783
+ "epoch": 31.6,
2784
+ "learning_rate": 5.424242424242425e-05,
2785
+ "loss": 1.8566,
2786
+ "step": 463000
2787
+ },
2788
+ {
2789
+ "epoch": 31.67,
2790
+ "learning_rate": 5.414141414141415e-05,
2791
+ "loss": 1.8522,
2792
+ "step": 464000
2793
+ },
2794
+ {
2795
+ "epoch": 31.73,
2796
+ "learning_rate": 5.4040404040404044e-05,
2797
+ "loss": 1.8561,
2798
+ "step": 465000
2799
+ },
2800
+ {
2801
+ "epoch": 31.8,
2802
+ "learning_rate": 5.393939393939394e-05,
2803
+ "loss": 1.8611,
2804
+ "step": 466000
2805
+ },
2806
+ {
2807
+ "epoch": 31.87,
2808
+ "learning_rate": 5.383838383838384e-05,
2809
+ "loss": 1.8597,
2810
+ "step": 467000
2811
+ },
2812
+ {
2813
+ "epoch": 31.94,
2814
+ "learning_rate": 5.373737373737374e-05,
2815
+ "loss": 1.8595,
2816
+ "step": 468000
2817
+ },
2818
+ {
2819
+ "epoch": 32.01,
2820
+ "learning_rate": 5.363636363636364e-05,
2821
+ "loss": 1.8521,
2822
+ "step": 469000
2823
+ },
2824
+ {
2825
+ "epoch": 32.08,
2826
+ "learning_rate": 5.353535353535354e-05,
2827
+ "loss": 1.8372,
2828
+ "step": 470000
2829
+ },
2830
+ {
2831
+ "epoch": 32.14,
2832
+ "learning_rate": 5.3434343434343434e-05,
2833
+ "loss": 1.8355,
2834
+ "step": 471000
2835
+ },
2836
+ {
2837
+ "epoch": 32.21,
2838
+ "learning_rate": 5.333333333333333e-05,
2839
+ "loss": 1.8346,
2840
+ "step": 472000
2841
+ },
2842
+ {
2843
+ "epoch": 32.28,
2844
+ "learning_rate": 5.323232323232323e-05,
2845
+ "loss": 1.8356,
2846
+ "step": 473000
2847
+ },
2848
+ {
2849
+ "epoch": 32.35,
2850
+ "learning_rate": 5.313131313131313e-05,
2851
+ "loss": 1.8456,
2852
+ "step": 474000
2853
+ },
2854
+ {
2855
+ "epoch": 32.42,
2856
+ "learning_rate": 5.303030303030303e-05,
2857
+ "loss": 1.8486,
2858
+ "step": 475000
2859
+ },
2860
+ {
2861
+ "epoch": 32.48,
2862
+ "learning_rate": 5.292929292929293e-05,
2863
+ "loss": 1.8491,
2864
+ "step": 476000
2865
+ },
2866
+ {
2867
+ "epoch": 32.55,
2868
+ "learning_rate": 5.2828282828282824e-05,
2869
+ "loss": 1.8537,
2870
+ "step": 477000
2871
+ },
2872
+ {
2873
+ "epoch": 32.62,
2874
+ "learning_rate": 5.272727272727272e-05,
2875
+ "loss": 1.8467,
2876
+ "step": 478000
2877
+ },
2878
+ {
2879
+ "epoch": 32.69,
2880
+ "learning_rate": 5.262626262626262e-05,
2881
+ "loss": 1.8423,
2882
+ "step": 479000
2883
+ },
2884
+ {
2885
+ "epoch": 32.76,
2886
+ "learning_rate": 5.2525252525252536e-05,
2887
+ "loss": 1.8391,
2888
+ "step": 480000
2889
+ },
2890
+ {
2891
+ "epoch": 32.83,
2892
+ "learning_rate": 5.242424242424243e-05,
2893
+ "loss": 1.8486,
2894
+ "step": 481000
2895
+ },
2896
+ {
2897
+ "epoch": 32.89,
2898
+ "learning_rate": 5.232323232323233e-05,
2899
+ "loss": 1.8546,
2900
+ "step": 482000
2901
+ },
2902
+ {
2903
+ "epoch": 32.96,
2904
+ "learning_rate": 5.222222222222223e-05,
2905
+ "loss": 1.8524,
2906
+ "step": 483000
2907
+ },
2908
+ {
2909
+ "epoch": 33.03,
2910
+ "learning_rate": 5.212121212121213e-05,
2911
+ "loss": 1.8406,
2912
+ "step": 484000
2913
+ },
2914
+ {
2915
+ "epoch": 33.1,
2916
+ "learning_rate": 5.2020202020202026e-05,
2917
+ "loss": 1.8378,
2918
+ "step": 485000
2919
+ },
2920
+ {
2921
+ "epoch": 33.17,
2922
+ "learning_rate": 5.1919191919191926e-05,
2923
+ "loss": 1.8405,
2924
+ "step": 486000
2925
+ },
2926
+ {
2927
+ "epoch": 33.24,
2928
+ "learning_rate": 5.181818181818182e-05,
2929
+ "loss": 1.8288,
2930
+ "step": 487000
2931
+ },
2932
+ {
2933
+ "epoch": 33.3,
2934
+ "learning_rate": 5.171717171717172e-05,
2935
+ "loss": 1.8366,
2936
+ "step": 488000
2937
+ },
2938
+ {
2939
+ "epoch": 33.37,
2940
+ "learning_rate": 5.161616161616162e-05,
2941
+ "loss": 1.8326,
2942
+ "step": 489000
2943
+ },
2944
+ {
2945
+ "epoch": 33.44,
2946
+ "learning_rate": 5.151515151515152e-05,
2947
+ "loss": 1.8352,
2948
+ "step": 490000
2949
+ },
2950
+ {
2951
+ "epoch": 33.51,
2952
+ "learning_rate": 5.1414141414141416e-05,
2953
+ "loss": 1.8486,
2954
+ "step": 491000
2955
+ },
2956
+ {
2957
+ "epoch": 33.58,
2958
+ "learning_rate": 5.1313131313131316e-05,
2959
+ "loss": 1.8439,
2960
+ "step": 492000
2961
+ },
2962
+ {
2963
+ "epoch": 33.64,
2964
+ "learning_rate": 5.121212121212121e-05,
2965
+ "loss": 1.835,
2966
+ "step": 493000
2967
+ },
2968
+ {
2969
+ "epoch": 33.71,
2970
+ "learning_rate": 5.111111111111111e-05,
2971
+ "loss": 1.8384,
2972
+ "step": 494000
2973
+ },
2974
+ {
2975
+ "epoch": 33.78,
2976
+ "learning_rate": 5.101010101010101e-05,
2977
+ "loss": 1.8336,
2978
+ "step": 495000
2979
+ },
2980
+ {
2981
+ "epoch": 33.85,
2982
+ "learning_rate": 5.090909090909091e-05,
2983
+ "loss": 1.8417,
2984
+ "step": 496000
2985
+ },
2986
+ {
2987
+ "epoch": 33.92,
2988
+ "learning_rate": 5.080808080808081e-05,
2989
+ "loss": 1.833,
2990
+ "step": 497000
2991
+ },
2992
+ {
2993
+ "epoch": 33.99,
2994
+ "learning_rate": 5.070707070707071e-05,
2995
+ "loss": 1.8349,
2996
+ "step": 498000
2997
+ },
2998
+ {
2999
+ "epoch": 34.05,
3000
+ "learning_rate": 5.060606060606061e-05,
3001
+ "loss": 1.8225,
3002
+ "step": 499000
3003
+ },
3004
+ {
3005
+ "epoch": 34.12,
3006
+ "learning_rate": 5.050505050505051e-05,
3007
+ "loss": 1.8171,
3008
+ "step": 500000
3009
+ },
3010
+ {
3011
+ "epoch": 34.19,
3012
+ "learning_rate": 5.040404040404041e-05,
3013
+ "loss": 1.8255,
3014
+ "step": 501000
3015
+ },
3016
+ {
3017
+ "epoch": 34.26,
3018
+ "learning_rate": 5.030303030303031e-05,
3019
+ "loss": 1.8315,
3020
+ "step": 502000
3021
+ },
3022
+ {
3023
+ "epoch": 34.33,
3024
+ "learning_rate": 5.0202020202020203e-05,
3025
+ "loss": 1.8147,
3026
+ "step": 503000
3027
+ },
3028
+ {
3029
+ "epoch": 34.4,
3030
+ "learning_rate": 5.01010101010101e-05,
3031
+ "loss": 1.8238,
3032
+ "step": 504000
3033
+ },
3034
+ {
3035
+ "epoch": 34.46,
3036
+ "learning_rate": 5e-05,
3037
+ "loss": 1.8204,
3038
+ "step": 505000
3039
+ },
3040
+ {
3041
+ "epoch": 34.53,
3042
+ "learning_rate": 4.98989898989899e-05,
3043
+ "loss": 1.8317,
3044
+ "step": 506000
3045
+ },
3046
+ {
3047
+ "epoch": 34.6,
3048
+ "learning_rate": 4.97979797979798e-05,
3049
+ "loss": 1.827,
3050
+ "step": 507000
3051
+ },
3052
+ {
3053
+ "epoch": 34.67,
3054
+ "learning_rate": 4.9696969696969694e-05,
3055
+ "loss": 1.8251,
3056
+ "step": 508000
3057
+ },
3058
+ {
3059
+ "epoch": 34.74,
3060
+ "learning_rate": 4.9595959595959594e-05,
3061
+ "loss": 1.8268,
3062
+ "step": 509000
3063
+ },
3064
+ {
3065
+ "epoch": 34.81,
3066
+ "learning_rate": 4.94949494949495e-05,
3067
+ "loss": 1.8315,
3068
+ "step": 510000
3069
+ },
3070
+ {
3071
+ "epoch": 34.87,
3072
+ "learning_rate": 4.93939393939394e-05,
3073
+ "loss": 1.8233,
3074
+ "step": 511000
3075
+ },
3076
+ {
3077
+ "epoch": 34.94,
3078
+ "learning_rate": 4.92929292929293e-05,
3079
+ "loss": 1.828,
3080
+ "step": 512000
3081
+ },
3082
+ {
3083
+ "epoch": 35.01,
3084
+ "learning_rate": 4.919191919191919e-05,
3085
+ "loss": 1.8284,
3086
+ "step": 513000
3087
+ },
3088
+ {
3089
+ "epoch": 35.08,
3090
+ "learning_rate": 4.909090909090909e-05,
3091
+ "loss": 1.8055,
3092
+ "step": 514000
3093
+ },
3094
+ {
3095
+ "epoch": 35.15,
3096
+ "learning_rate": 4.898989898989899e-05,
3097
+ "loss": 1.8103,
3098
+ "step": 515000
3099
+ },
3100
+ {
3101
+ "epoch": 35.21,
3102
+ "learning_rate": 4.888888888888889e-05,
3103
+ "loss": 1.8142,
3104
+ "step": 516000
3105
+ },
3106
+ {
3107
+ "epoch": 35.28,
3108
+ "learning_rate": 4.878787878787879e-05,
3109
+ "loss": 1.8117,
3110
+ "step": 517000
3111
+ },
3112
+ {
3113
+ "epoch": 35.35,
3114
+ "learning_rate": 4.868686868686869e-05,
3115
+ "loss": 1.8103,
3116
+ "step": 518000
3117
+ },
3118
+ {
3119
+ "epoch": 35.42,
3120
+ "learning_rate": 4.858585858585859e-05,
3121
+ "loss": 1.8143,
3122
+ "step": 519000
3123
+ },
3124
+ {
3125
+ "epoch": 35.49,
3126
+ "learning_rate": 4.848484848484849e-05,
3127
+ "loss": 1.8213,
3128
+ "step": 520000
3129
+ },
3130
+ {
3131
+ "epoch": 35.56,
3132
+ "learning_rate": 4.838383838383839e-05,
3133
+ "loss": 1.8182,
3134
+ "step": 521000
3135
+ },
3136
+ {
3137
+ "epoch": 35.62,
3138
+ "learning_rate": 4.828282828282829e-05,
3139
+ "loss": 1.8203,
3140
+ "step": 522000
3141
+ },
3142
+ {
3143
+ "epoch": 35.69,
3144
+ "learning_rate": 4.8181818181818186e-05,
3145
+ "loss": 1.8281,
3146
+ "step": 523000
3147
+ },
3148
+ {
3149
+ "epoch": 35.76,
3150
+ "learning_rate": 4.808080808080808e-05,
3151
+ "loss": 1.822,
3152
+ "step": 524000
3153
+ },
3154
+ {
3155
+ "epoch": 35.83,
3156
+ "learning_rate": 4.797979797979798e-05,
3157
+ "loss": 1.8278,
3158
+ "step": 525000
3159
+ },
3160
+ {
3161
+ "epoch": 35.9,
3162
+ "learning_rate": 4.787878787878788e-05,
3163
+ "loss": 1.8325,
3164
+ "step": 526000
3165
+ },
3166
+ {
3167
+ "epoch": 35.97,
3168
+ "learning_rate": 4.7777777777777784e-05,
3169
+ "loss": 1.8316,
3170
+ "step": 527000
3171
+ },
3172
+ {
3173
+ "epoch": 36.03,
3174
+ "learning_rate": 4.7676767676767684e-05,
3175
+ "loss": 1.8289,
3176
+ "step": 528000
3177
+ },
3178
+ {
3179
+ "epoch": 36.1,
3180
+ "learning_rate": 4.7575757575757576e-05,
3181
+ "loss": 1.8067,
3182
+ "step": 529000
3183
+ },
3184
+ {
3185
+ "epoch": 36.17,
3186
+ "learning_rate": 4.7474747474747476e-05,
3187
+ "loss": 1.807,
3188
+ "step": 530000
3189
+ },
3190
+ {
3191
+ "epoch": 36.24,
3192
+ "learning_rate": 4.7373737373737375e-05,
3193
+ "loss": 1.806,
3194
+ "step": 531000
3195
+ },
3196
+ {
3197
+ "epoch": 36.31,
3198
+ "learning_rate": 4.7272727272727275e-05,
3199
+ "loss": 1.8101,
3200
+ "step": 532000
3201
+ },
3202
+ {
3203
+ "epoch": 36.37,
3204
+ "learning_rate": 4.7171717171717174e-05,
3205
+ "loss": 1.8131,
3206
+ "step": 533000
3207
+ },
3208
+ {
3209
+ "epoch": 36.44,
3210
+ "learning_rate": 4.7070707070707074e-05,
3211
+ "loss": 1.8,
3212
+ "step": 534000
3213
+ },
3214
+ {
3215
+ "epoch": 36.51,
3216
+ "learning_rate": 4.696969696969697e-05,
3217
+ "loss": 1.812,
3218
+ "step": 535000
3219
+ },
3220
+ {
3221
+ "epoch": 36.58,
3222
+ "learning_rate": 4.686868686868687e-05,
3223
+ "loss": 1.816,
3224
+ "step": 536000
3225
+ },
3226
+ {
3227
+ "epoch": 36.65,
3228
+ "learning_rate": 4.676767676767677e-05,
3229
+ "loss": 1.8185,
3230
+ "step": 537000
3231
+ },
3232
+ {
3233
+ "epoch": 36.72,
3234
+ "learning_rate": 4.666666666666667e-05,
3235
+ "loss": 1.8251,
3236
+ "step": 538000
3237
+ },
3238
+ {
3239
+ "epoch": 36.78,
3240
+ "learning_rate": 4.656565656565657e-05,
3241
+ "loss": 1.8209,
3242
+ "step": 539000
3243
+ },
3244
+ {
3245
+ "epoch": 36.85,
3246
+ "learning_rate": 4.6464646464646464e-05,
3247
+ "loss": 1.8106,
3248
+ "step": 540000
3249
+ },
3250
+ {
3251
+ "epoch": 36.92,
3252
+ "learning_rate": 4.636363636363636e-05,
3253
+ "loss": 1.8164,
3254
+ "step": 541000
3255
+ },
3256
+ {
3257
+ "epoch": 36.99,
3258
+ "learning_rate": 4.626262626262626e-05,
3259
+ "loss": 1.8069,
3260
+ "step": 542000
3261
+ },
3262
+ {
3263
+ "epoch": 37.06,
3264
+ "learning_rate": 4.616161616161616e-05,
3265
+ "loss": 1.8001,
3266
+ "step": 543000
3267
+ },
3268
+ {
3269
+ "epoch": 37.13,
3270
+ "learning_rate": 4.606060606060607e-05,
3271
+ "loss": 1.8007,
3272
+ "step": 544000
3273
+ },
3274
+ {
3275
+ "epoch": 37.19,
3276
+ "learning_rate": 4.595959595959596e-05,
3277
+ "loss": 1.7957,
3278
+ "step": 545000
3279
+ },
3280
+ {
3281
+ "epoch": 37.26,
3282
+ "learning_rate": 4.585858585858586e-05,
3283
+ "loss": 1.7947,
3284
+ "step": 546000
3285
+ },
3286
+ {
3287
+ "epoch": 37.33,
3288
+ "learning_rate": 4.575757575757576e-05,
3289
+ "loss": 1.7996,
3290
+ "step": 547000
3291
+ },
3292
+ {
3293
+ "epoch": 37.4,
3294
+ "learning_rate": 4.565656565656566e-05,
3295
+ "loss": 1.8067,
3296
+ "step": 548000
3297
+ },
3298
+ {
3299
+ "epoch": 37.47,
3300
+ "learning_rate": 4.555555555555556e-05,
3301
+ "loss": 1.7941,
3302
+ "step": 549000
3303
+ },
3304
+ {
3305
+ "epoch": 37.53,
3306
+ "learning_rate": 4.545454545454546e-05,
3307
+ "loss": 1.8103,
3308
+ "step": 550000
3309
+ },
3310
+ {
3311
+ "epoch": 37.6,
3312
+ "learning_rate": 4.535353535353535e-05,
3313
+ "loss": 1.8167,
3314
+ "step": 551000
3315
+ },
3316
+ {
3317
+ "epoch": 37.67,
3318
+ "learning_rate": 4.525252525252526e-05,
3319
+ "loss": 1.7929,
3320
+ "step": 552000
3321
+ },
3322
+ {
3323
+ "epoch": 37.74,
3324
+ "learning_rate": 4.515151515151516e-05,
3325
+ "loss": 1.8093,
3326
+ "step": 553000
3327
+ },
3328
+ {
3329
+ "epoch": 37.81,
3330
+ "learning_rate": 4.5050505050505056e-05,
3331
+ "loss": 1.7967,
3332
+ "step": 554000
3333
+ },
3334
+ {
3335
+ "epoch": 37.88,
3336
+ "learning_rate": 4.494949494949495e-05,
3337
+ "loss": 1.8117,
3338
+ "step": 555000
3339
+ },
3340
+ {
3341
+ "epoch": 37.94,
3342
+ "learning_rate": 4.484848484848485e-05,
3343
+ "loss": 1.8075,
3344
+ "step": 556000
3345
+ },
3346
+ {
3347
+ "epoch": 38.01,
3348
+ "learning_rate": 4.474747474747475e-05,
3349
+ "loss": 1.8045,
3350
+ "step": 557000
3351
+ },
3352
+ {
3353
+ "epoch": 38.08,
3354
+ "learning_rate": 4.464646464646465e-05,
3355
+ "loss": 1.7865,
3356
+ "step": 558000
3357
+ },
3358
+ {
3359
+ "epoch": 38.15,
3360
+ "learning_rate": 4.454545454545455e-05,
3361
+ "loss": 1.7938,
3362
+ "step": 559000
3363
+ },
3364
+ {
3365
+ "epoch": 38.22,
3366
+ "learning_rate": 4.4444444444444447e-05,
3367
+ "loss": 1.7902,
3368
+ "step": 560000
3369
+ },
3370
+ {
3371
+ "epoch": 38.29,
3372
+ "learning_rate": 4.4343434343434346e-05,
3373
+ "loss": 1.7901,
3374
+ "step": 561000
3375
+ },
3376
+ {
3377
+ "epoch": 38.35,
3378
+ "learning_rate": 4.4242424242424246e-05,
3379
+ "loss": 1.7913,
3380
+ "step": 562000
3381
+ },
3382
+ {
3383
+ "epoch": 38.42,
3384
+ "learning_rate": 4.4141414141414145e-05,
3385
+ "loss": 1.7926,
3386
+ "step": 563000
3387
+ },
3388
+ {
3389
+ "epoch": 38.49,
3390
+ "learning_rate": 4.4040404040404044e-05,
3391
+ "loss": 1.7879,
3392
+ "step": 564000
3393
+ },
3394
+ {
3395
+ "epoch": 38.56,
3396
+ "learning_rate": 4.3939393939393944e-05,
3397
+ "loss": 1.8,
3398
+ "step": 565000
3399
+ },
3400
+ {
3401
+ "epoch": 38.63,
3402
+ "learning_rate": 4.383838383838384e-05,
3403
+ "loss": 1.7938,
3404
+ "step": 566000
3405
+ },
3406
+ {
3407
+ "epoch": 38.7,
3408
+ "learning_rate": 4.3737373737373736e-05,
3409
+ "loss": 1.8053,
3410
+ "step": 567000
3411
+ },
3412
+ {
3413
+ "epoch": 38.76,
3414
+ "learning_rate": 4.3636363636363636e-05,
3415
+ "loss": 1.7921,
3416
+ "step": 568000
3417
+ },
3418
+ {
3419
+ "epoch": 38.83,
3420
+ "learning_rate": 4.3535353535353535e-05,
3421
+ "loss": 1.7817,
3422
+ "step": 569000
3423
+ },
3424
+ {
3425
+ "epoch": 38.9,
3426
+ "learning_rate": 4.343434343434344e-05,
3427
+ "loss": 1.7984,
3428
+ "step": 570000
3429
+ },
3430
+ {
3431
+ "epoch": 38.97,
3432
+ "learning_rate": 4.3333333333333334e-05,
3433
+ "loss": 1.7954,
3434
+ "step": 571000
3435
+ },
3436
+ {
3437
+ "epoch": 39.04,
3438
+ "learning_rate": 4.3232323232323234e-05,
3439
+ "loss": 1.7833,
3440
+ "step": 572000
3441
+ },
3442
+ {
3443
+ "epoch": 39.1,
3444
+ "learning_rate": 4.313131313131313e-05,
3445
+ "loss": 1.7776,
3446
+ "step": 573000
3447
+ },
3448
+ {
3449
+ "epoch": 39.17,
3450
+ "learning_rate": 4.303030303030303e-05,
3451
+ "loss": 1.7852,
3452
+ "step": 574000
3453
+ },
3454
+ {
3455
+ "epoch": 39.24,
3456
+ "learning_rate": 4.292929292929293e-05,
3457
+ "loss": 1.7951,
3458
+ "step": 575000
3459
+ },
3460
+ {
3461
+ "epoch": 39.31,
3462
+ "learning_rate": 4.282828282828283e-05,
3463
+ "loss": 1.7839,
3464
+ "step": 576000
3465
+ },
3466
+ {
3467
+ "epoch": 39.38,
3468
+ "learning_rate": 4.2727272727272724e-05,
3469
+ "loss": 1.7821,
3470
+ "step": 577000
3471
+ },
3472
+ {
3473
+ "epoch": 39.45,
3474
+ "learning_rate": 4.262626262626263e-05,
3475
+ "loss": 1.783,
3476
+ "step": 578000
3477
+ },
3478
+ {
3479
+ "epoch": 39.51,
3480
+ "learning_rate": 4.252525252525253e-05,
3481
+ "loss": 1.7816,
3482
+ "step": 579000
3483
+ },
3484
+ {
3485
+ "epoch": 39.58,
3486
+ "learning_rate": 4.242424242424243e-05,
3487
+ "loss": 1.7924,
3488
+ "step": 580000
3489
+ },
3490
+ {
3491
+ "epoch": 39.65,
3492
+ "learning_rate": 4.232323232323233e-05,
3493
+ "loss": 1.7834,
3494
+ "step": 581000
3495
+ },
3496
+ {
3497
+ "epoch": 39.72,
3498
+ "learning_rate": 4.222222222222222e-05,
3499
+ "loss": 1.7972,
3500
+ "step": 582000
3501
+ },
3502
+ {
3503
+ "epoch": 39.79,
3504
+ "learning_rate": 4.212121212121212e-05,
3505
+ "loss": 1.7938,
3506
+ "step": 583000
3507
+ },
3508
+ {
3509
+ "epoch": 39.86,
3510
+ "learning_rate": 4.202020202020202e-05,
3511
+ "loss": 1.7803,
3512
+ "step": 584000
3513
+ },
3514
+ {
3515
+ "epoch": 39.92,
3516
+ "learning_rate": 4.191919191919192e-05,
3517
+ "loss": 1.7924,
3518
+ "step": 585000
3519
+ },
3520
+ {
3521
+ "epoch": 39.99,
3522
+ "learning_rate": 4.181818181818182e-05,
3523
+ "loss": 1.7996,
3524
+ "step": 586000
3525
+ },
3526
+ {
3527
+ "epoch": 40.06,
3528
+ "learning_rate": 4.171717171717172e-05,
3529
+ "loss": 1.77,
3530
+ "step": 587000
3531
+ },
3532
+ {
3533
+ "epoch": 40.13,
3534
+ "learning_rate": 4.161616161616162e-05,
3535
+ "loss": 1.7698,
3536
+ "step": 588000
3537
+ },
3538
+ {
3539
+ "epoch": 40.2,
3540
+ "learning_rate": 4.151515151515152e-05,
3541
+ "loss": 1.7667,
3542
+ "step": 589000
3543
+ },
3544
+ {
3545
+ "epoch": 40.26,
3546
+ "learning_rate": 4.141414141414142e-05,
3547
+ "loss": 1.7716,
3548
+ "step": 590000
3549
+ },
3550
+ {
3551
+ "epoch": 40.33,
3552
+ "learning_rate": 4.131313131313132e-05,
3553
+ "loss": 1.7766,
3554
+ "step": 591000
3555
+ },
3556
+ {
3557
+ "epoch": 40.4,
3558
+ "learning_rate": 4.1212121212121216e-05,
3559
+ "loss": 1.7693,
3560
+ "step": 592000
3561
+ },
3562
+ {
3563
+ "epoch": 40.47,
3564
+ "learning_rate": 4.111111111111111e-05,
3565
+ "loss": 1.777,
3566
+ "step": 593000
3567
+ },
3568
+ {
3569
+ "epoch": 40.54,
3570
+ "learning_rate": 4.101010101010101e-05,
3571
+ "loss": 1.7927,
3572
+ "step": 594000
3573
+ },
3574
+ {
3575
+ "epoch": 40.61,
3576
+ "learning_rate": 4.0909090909090915e-05,
3577
+ "loss": 1.7779,
3578
+ "step": 595000
3579
+ },
3580
+ {
3581
+ "epoch": 40.67,
3582
+ "learning_rate": 4.0808080808080814e-05,
3583
+ "loss": 1.7847,
3584
+ "step": 596000
3585
+ },
3586
+ {
3587
+ "epoch": 40.74,
3588
+ "learning_rate": 4.070707070707071e-05,
3589
+ "loss": 1.7704,
3590
+ "step": 597000
3591
+ },
3592
+ {
3593
+ "epoch": 40.81,
3594
+ "learning_rate": 4.0606060606060606e-05,
3595
+ "loss": 1.7834,
3596
+ "step": 598000
3597
+ },
3598
+ {
3599
+ "epoch": 40.88,
3600
+ "learning_rate": 4.0505050505050506e-05,
3601
+ "loss": 1.7867,
3602
+ "step": 599000
3603
+ },
3604
+ {
3605
+ "epoch": 40.95,
3606
+ "learning_rate": 4.0404040404040405e-05,
3607
+ "loss": 1.774,
3608
+ "step": 600000
3609
+ },
3610
+ {
3611
+ "epoch": 41.02,
3612
+ "learning_rate": 4.0303030303030305e-05,
3613
+ "loss": 1.7701,
3614
+ "step": 601000
3615
+ },
3616
+ {
3617
+ "epoch": 41.08,
3618
+ "learning_rate": 4.0202020202020204e-05,
3619
+ "loss": 1.7565,
3620
+ "step": 602000
3621
+ },
3622
+ {
3623
+ "epoch": 41.15,
3624
+ "learning_rate": 4.01010101010101e-05,
3625
+ "loss": 1.7608,
3626
+ "step": 603000
3627
+ },
3628
+ {
3629
+ "epoch": 41.22,
3630
+ "learning_rate": 4e-05,
3631
+ "loss": 1.762,
3632
+ "step": 604000
3633
+ },
3634
+ {
3635
+ "epoch": 41.29,
3636
+ "learning_rate": 3.98989898989899e-05,
3637
+ "loss": 1.7698,
3638
+ "step": 605000
3639
+ },
3640
+ {
3641
+ "epoch": 41.36,
3642
+ "learning_rate": 3.97979797979798e-05,
3643
+ "loss": 1.7702,
3644
+ "step": 606000
3645
+ },
3646
+ {
3647
+ "epoch": 41.42,
3648
+ "learning_rate": 3.96969696969697e-05,
3649
+ "loss": 1.7616,
3650
+ "step": 607000
3651
+ },
3652
+ {
3653
+ "epoch": 41.49,
3654
+ "learning_rate": 3.9595959595959594e-05,
3655
+ "loss": 1.7687,
3656
+ "step": 608000
3657
+ },
3658
+ {
3659
+ "epoch": 41.56,
3660
+ "learning_rate": 3.9494949494949494e-05,
3661
+ "loss": 1.7729,
3662
+ "step": 609000
3663
+ },
3664
+ {
3665
+ "epoch": 41.63,
3666
+ "learning_rate": 3.939393939393939e-05,
3667
+ "loss": 1.7644,
3668
+ "step": 610000
3669
+ },
3670
+ {
3671
+ "epoch": 41.7,
3672
+ "learning_rate": 3.929292929292929e-05,
3673
+ "loss": 1.7657,
3674
+ "step": 611000
3675
+ },
3676
+ {
3677
+ "epoch": 41.77,
3678
+ "learning_rate": 3.91919191919192e-05,
3679
+ "loss": 1.7771,
3680
+ "step": 612000
3681
+ },
3682
+ {
3683
+ "epoch": 41.83,
3684
+ "learning_rate": 3.909090909090909e-05,
3685
+ "loss": 1.7604,
3686
+ "step": 613000
3687
+ },
3688
+ {
3689
+ "epoch": 41.9,
3690
+ "learning_rate": 3.898989898989899e-05,
3691
+ "loss": 1.7766,
3692
+ "step": 614000
3693
+ },
3694
+ {
3695
+ "epoch": 41.97,
3696
+ "learning_rate": 3.888888888888889e-05,
3697
+ "loss": 1.7751,
3698
+ "step": 615000
3699
+ },
3700
+ {
3701
+ "epoch": 42.04,
3702
+ "learning_rate": 3.878787878787879e-05,
3703
+ "loss": 1.7577,
3704
+ "step": 616000
3705
+ },
3706
+ {
3707
+ "epoch": 42.11,
3708
+ "learning_rate": 3.868686868686869e-05,
3709
+ "loss": 1.7575,
3710
+ "step": 617000
3711
+ },
3712
+ {
3713
+ "epoch": 42.18,
3714
+ "learning_rate": 3.858585858585859e-05,
3715
+ "loss": 1.746,
3716
+ "step": 618000
3717
+ }
3718
+ ],
3719
+ "max_steps": 1000000,
3720
+ "num_train_epochs": 69,
3721
+ "total_flos": 7.731601160277059e+17,
3722
+ "trial_name": null,
3723
+ "trial_params": null
3724
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f201e4895d34da470a6048efc53623e4ebf05aa52b870320577f5d07e2d43606
3
+ size 2671