Hugging Face's logo

HYdsl
/
FiLM

Fill-Mask
Transformers
PyTorch
English
roberta
Model card Files
xet
 Community
1
HYdsl commited on
Commit
f770e74
·
1 Parent(s): 251576b

FiLM_2.4B model upload

Browse files
Files changed (7) hide show
  1. config.json +27 -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 +4618 -0
  7. training_args.bin +3 -0
config.json ADDED
@@ -0,0 +1,27 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "roberta-base",
3
+ "architectures": [
4
+ "RobertaForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "hidden_act": "gelu",
11
+ "hidden_dropout_prob": 0.1,
12
+ "hidden_size": 768,
13
+ "initializer_range": 0.02,
14
+ "intermediate_size": 3072,
15
+ "layer_norm_eps": 1e-05,
16
+ "max_position_embeddings": 514,
17
+ "model_type": "roberta",
18
+ "num_attention_heads": 12,
19
+ "num_hidden_layers": 12,
20
+ "pad_token_id": 1,
21
+ "position_embedding_type": "absolute",
22
+ "torch_dtype": "float32",
23
+ "transformers_version": "4.20.1",
24
+ "type_vocab_size": 1,
25
+ "use_cache": true,
26
+ "vocab_size": 50265
27
+ }
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6c0126dcf4544b4b94f1d7a54d46cab63f392387c842e6f98782a05455f7aa12
3
+ size 997696921
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6309838712c233fa7792d9aec7a301db3c2d0daec8e47e02ef6d8109d6cff9d4
3
+ size 498861675
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a64d7b1322374670944d3f713d7564ac44495f44fd731d9cb210329d8280b2aa
3
+ size 14503
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6f3e8a8eae945caea8b546ed94e26da1ab634a858692896095790677478661bb
3
+ size 623
trainer_state.json ADDED
@@ -0,0 +1,4618 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.0,
5
+ "global_step": 383745,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.0,
12
+ "learning_rate": 4.993485257136901e-05,
13
+ "loss": 1.5554,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.0,
18
+ "learning_rate": 4.9869705142738016e-05,
19
+ "loss": 1.5383,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.0,
24
+ "learning_rate": 4.9804557714107027e-05,
25
+ "loss": 1.5335,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.01,
30
+ "learning_rate": 4.973941028547604e-05,
31
+ "loss": 1.528,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.01,
36
+ "learning_rate": 4.967426285684505e-05,
37
+ "loss": 1.5146,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.01,
42
+ "learning_rate": 4.960911542821405e-05,
43
+ "loss": 1.5074,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 0.01,
48
+ "learning_rate": 4.9543967999583054e-05,
49
+ "loss": 1.5076,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 0.01,
54
+ "learning_rate": 4.9478820570952065e-05,
55
+ "loss": 1.5025,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 0.01,
60
+ "learning_rate": 4.9413673142321075e-05,
61
+ "loss": 1.5122,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 0.01,
66
+ "learning_rate": 4.934852571369008e-05,
67
+ "loss": 1.5013,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 0.01,
72
+ "learning_rate": 4.928337828505909e-05,
73
+ "loss": 1.5068,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 0.02,
78
+ "learning_rate": 4.92182308564281e-05,
79
+ "loss": 1.4992,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 0.02,
84
+ "learning_rate": 4.915308342779711e-05,
85
+ "loss": 1.4902,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 0.02,
90
+ "learning_rate": 4.908793599916611e-05,
91
+ "loss": 1.4905,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 0.02,
96
+ "learning_rate": 4.902278857053512e-05,
97
+ "loss": 1.4883,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 0.02,
102
+ "learning_rate": 4.8957641141904134e-05,
103
+ "loss": 1.4811,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 0.02,
108
+ "learning_rate": 4.8892493713273144e-05,
109
+ "loss": 1.4823,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 0.02,
114
+ "learning_rate": 4.882734628464215e-05,
115
+ "loss": 1.4842,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 0.02,
120
+ "learning_rate": 4.876219885601115e-05,
121
+ "loss": 1.4744,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 0.03,
126
+ "learning_rate": 4.869705142738016e-05,
127
+ "loss": 1.471,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 0.03,
132
+ "learning_rate": 4.863190399874917e-05,
133
+ "loss": 1.4788,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 0.03,
138
+ "learning_rate": 4.8566756570118175e-05,
139
+ "loss": 1.4833,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 0.03,
144
+ "learning_rate": 4.8501609141487185e-05,
145
+ "loss": 1.4778,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 0.03,
150
+ "learning_rate": 4.8436461712856196e-05,
151
+ "loss": 1.4651,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 0.03,
156
+ "learning_rate": 4.8371314284225206e-05,
157
+ "loss": 1.4722,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 0.03,
162
+ "learning_rate": 4.830616685559421e-05,
163
+ "loss": 1.4741,
164
+ "step": 13000
165
+ },
166
+ {
167
+ "epoch": 0.04,
168
+ "learning_rate": 4.824101942696322e-05,
169
+ "loss": 1.4711,
170
+ "step": 13500
171
+ },
172
+ {
173
+ "epoch": 0.04,
174
+ "learning_rate": 4.817587199833223e-05,
175
+ "loss": 1.463,
176
+ "step": 14000
177
+ },
178
+ {
179
+ "epoch": 0.04,
180
+ "learning_rate": 4.811072456970124e-05,
181
+ "loss": 1.4641,
182
+ "step": 14500
183
+ },
184
+ {
185
+ "epoch": 0.04,
186
+ "learning_rate": 4.8045577141070244e-05,
187
+ "loss": 1.465,
188
+ "step": 15000
189
+ },
190
+ {
191
+ "epoch": 0.04,
192
+ "learning_rate": 4.7980429712439254e-05,
193
+ "loss": 1.46,
194
+ "step": 15500
195
+ },
196
+ {
197
+ "epoch": 0.04,
198
+ "learning_rate": 4.791528228380826e-05,
199
+ "loss": 1.4563,
200
+ "step": 16000
201
+ },
202
+ {
203
+ "epoch": 0.04,
204
+ "learning_rate": 4.785013485517727e-05,
205
+ "loss": 1.4545,
206
+ "step": 16500
207
+ },
208
+ {
209
+ "epoch": 0.04,
210
+ "learning_rate": 4.778498742654627e-05,
211
+ "loss": 1.4643,
212
+ "step": 17000
213
+ },
214
+ {
215
+ "epoch": 0.05,
216
+ "learning_rate": 4.771983999791528e-05,
217
+ "loss": 1.4612,
218
+ "step": 17500
219
+ },
220
+ {
221
+ "epoch": 0.05,
222
+ "learning_rate": 4.765469256928429e-05,
223
+ "loss": 1.4538,
224
+ "step": 18000
225
+ },
226
+ {
227
+ "epoch": 0.05,
228
+ "learning_rate": 4.75895451406533e-05,
229
+ "loss": 1.4508,
230
+ "step": 18500
231
+ },
232
+ {
233
+ "epoch": 0.05,
234
+ "learning_rate": 4.7524397712022306e-05,
235
+ "loss": 1.4565,
236
+ "step": 19000
237
+ },
238
+ {
239
+ "epoch": 0.05,
240
+ "learning_rate": 4.7459250283391316e-05,
241
+ "loss": 1.4562,
242
+ "step": 19500
243
+ },
244
+ {
245
+ "epoch": 0.05,
246
+ "learning_rate": 4.739410285476033e-05,
247
+ "loss": 1.4538,
248
+ "step": 20000
249
+ },
250
+ {
251
+ "epoch": 0.05,
252
+ "learning_rate": 4.732895542612934e-05,
253
+ "loss": 1.4476,
254
+ "step": 20500
255
+ },
256
+ {
257
+ "epoch": 0.05,
258
+ "learning_rate": 4.726380799749834e-05,
259
+ "loss": 1.4567,
260
+ "step": 21000
261
+ },
262
+ {
263
+ "epoch": 0.06,
264
+ "learning_rate": 4.719866056886735e-05,
265
+ "loss": 1.4464,
266
+ "step": 21500
267
+ },
268
+ {
269
+ "epoch": 0.06,
270
+ "learning_rate": 4.7133513140236354e-05,
271
+ "loss": 1.4514,
272
+ "step": 22000
273
+ },
274
+ {
275
+ "epoch": 0.06,
276
+ "learning_rate": 4.7068365711605365e-05,
277
+ "loss": 1.4504,
278
+ "step": 22500
279
+ },
280
+ {
281
+ "epoch": 0.06,
282
+ "learning_rate": 4.700321828297437e-05,
283
+ "loss": 1.4467,
284
+ "step": 23000
285
+ },
286
+ {
287
+ "epoch": 0.06,
288
+ "learning_rate": 4.693807085434338e-05,
289
+ "loss": 1.4449,
290
+ "step": 23500
291
+ },
292
+ {
293
+ "epoch": 0.06,
294
+ "learning_rate": 4.687292342571239e-05,
295
+ "loss": 1.439,
296
+ "step": 24000
297
+ },
298
+ {
299
+ "epoch": 0.06,
300
+ "learning_rate": 4.68077759970814e-05,
301
+ "loss": 1.4369,
302
+ "step": 24500
303
+ },
304
+ {
305
+ "epoch": 0.07,
306
+ "learning_rate": 4.67426285684504e-05,
307
+ "loss": 1.4486,
308
+ "step": 25000
309
+ },
310
+ {
311
+ "epoch": 0.07,
312
+ "learning_rate": 4.667748113981941e-05,
313
+ "loss": 1.4426,
314
+ "step": 25500
315
+ },
316
+ {
317
+ "epoch": 0.07,
318
+ "learning_rate": 4.6612333711188423e-05,
319
+ "loss": 1.4371,
320
+ "step": 26000
321
+ },
322
+ {
323
+ "epoch": 0.07,
324
+ "learning_rate": 4.6547186282557434e-05,
325
+ "loss": 1.4382,
326
+ "step": 26500
327
+ },
328
+ {
329
+ "epoch": 0.07,
330
+ "learning_rate": 4.648203885392644e-05,
331
+ "loss": 1.4306,
332
+ "step": 27000
333
+ },
334
+ {
335
+ "epoch": 0.07,
336
+ "learning_rate": 4.641689142529545e-05,
337
+ "loss": 1.4491,
338
+ "step": 27500
339
+ },
340
+ {
341
+ "epoch": 0.07,
342
+ "learning_rate": 4.635174399666445e-05,
343
+ "loss": 1.441,
344
+ "step": 28000
345
+ },
346
+ {
347
+ "epoch": 0.07,
348
+ "learning_rate": 4.628659656803346e-05,
349
+ "loss": 1.4499,
350
+ "step": 28500
351
+ },
352
+ {
353
+ "epoch": 0.08,
354
+ "learning_rate": 4.6221449139402465e-05,
355
+ "loss": 1.4347,
356
+ "step": 29000
357
+ },
358
+ {
359
+ "epoch": 0.08,
360
+ "learning_rate": 4.6156301710771475e-05,
361
+ "loss": 1.4458,
362
+ "step": 29500
363
+ },
364
+ {
365
+ "epoch": 0.08,
366
+ "learning_rate": 4.6091154282140486e-05,
367
+ "loss": 1.4394,
368
+ "step": 30000
369
+ },
370
+ {
371
+ "epoch": 0.08,
372
+ "learning_rate": 4.6026006853509496e-05,
373
+ "loss": 1.4264,
374
+ "step": 30500
375
+ },
376
+ {
377
+ "epoch": 0.08,
378
+ "learning_rate": 4.59608594248785e-05,
379
+ "loss": 1.422,
380
+ "step": 31000
381
+ },
382
+ {
383
+ "epoch": 0.08,
384
+ "learning_rate": 4.589571199624751e-05,
385
+ "loss": 1.4297,
386
+ "step": 31500
387
+ },
388
+ {
389
+ "epoch": 0.08,
390
+ "learning_rate": 4.583056456761652e-05,
391
+ "loss": 1.4204,
392
+ "step": 32000
393
+ },
394
+ {
395
+ "epoch": 0.08,
396
+ "learning_rate": 4.576541713898553e-05,
397
+ "loss": 1.4287,
398
+ "step": 32500
399
+ },
400
+ {
401
+ "epoch": 0.09,
402
+ "learning_rate": 4.5700269710354534e-05,
403
+ "loss": 1.4262,
404
+ "step": 33000
405
+ },
406
+ {
407
+ "epoch": 0.09,
408
+ "learning_rate": 4.5635122281723544e-05,
409
+ "loss": 1.4353,
410
+ "step": 33500
411
+ },
412
+ {
413
+ "epoch": 0.09,
414
+ "learning_rate": 4.556997485309255e-05,
415
+ "loss": 1.422,
416
+ "step": 34000
417
+ },
418
+ {
419
+ "epoch": 0.09,
420
+ "learning_rate": 4.550482742446156e-05,
421
+ "loss": 1.4264,
422
+ "step": 34500
423
+ },
424
+ {
425
+ "epoch": 0.09,
426
+ "learning_rate": 4.543967999583056e-05,
427
+ "loss": 1.4279,
428
+ "step": 35000
429
+ },
430
+ {
431
+ "epoch": 0.09,
432
+ "learning_rate": 4.537453256719957e-05,
433
+ "loss": 1.4255,
434
+ "step": 35500
435
+ },
436
+ {
437
+ "epoch": 0.09,
438
+ "learning_rate": 4.530938513856858e-05,
439
+ "loss": 1.4245,
440
+ "step": 36000
441
+ },
442
+ {
443
+ "epoch": 0.1,
444
+ "learning_rate": 4.524423770993759e-05,
445
+ "loss": 1.4112,
446
+ "step": 36500
447
+ },
448
+ {
449
+ "epoch": 0.1,
450
+ "learning_rate": 4.5179090281306596e-05,
451
+ "loss": 1.4267,
452
+ "step": 37000
453
+ },
454
+ {
455
+ "epoch": 0.1,
456
+ "learning_rate": 4.5113942852675606e-05,
457
+ "loss": 1.4233,
458
+ "step": 37500
459
+ },
460
+ {
461
+ "epoch": 0.1,
462
+ "learning_rate": 4.504879542404462e-05,
463
+ "loss": 1.4283,
464
+ "step": 38000
465
+ },
466
+ {
467
+ "epoch": 0.1,
468
+ "learning_rate": 4.498364799541363e-05,
469
+ "loss": 1.4263,
470
+ "step": 38500
471
+ },
472
+ {
473
+ "epoch": 0.1,
474
+ "learning_rate": 4.491850056678263e-05,
475
+ "loss": 1.4239,
476
+ "step": 39000
477
+ },
478
+ {
479
+ "epoch": 0.1,
480
+ "learning_rate": 4.485335313815164e-05,
481
+ "loss": 1.4243,
482
+ "step": 39500
483
+ },
484
+ {
485
+ "epoch": 0.1,
486
+ "learning_rate": 4.4788205709520644e-05,
487
+ "loss": 1.4223,
488
+ "step": 40000
489
+ },
490
+ {
491
+ "epoch": 0.11,
492
+ "learning_rate": 4.4723058280889655e-05,
493
+ "loss": 1.4162,
494
+ "step": 40500
495
+ },
496
+ {
497
+ "epoch": 0.11,
498
+ "learning_rate": 4.465791085225866e-05,
499
+ "loss": 1.4142,
500
+ "step": 41000
501
+ },
502
+ {
503
+ "epoch": 0.11,
504
+ "learning_rate": 4.459276342362767e-05,
505
+ "loss": 1.4186,
506
+ "step": 41500
507
+ },
508
+ {
509
+ "epoch": 0.11,
510
+ "learning_rate": 4.452761599499668e-05,
511
+ "loss": 1.4115,
512
+ "step": 42000
513
+ },
514
+ {
515
+ "epoch": 0.11,
516
+ "learning_rate": 4.446246856636569e-05,
517
+ "loss": 1.4171,
518
+ "step": 42500
519
+ },
520
+ {
521
+ "epoch": 0.11,
522
+ "learning_rate": 4.439732113773469e-05,
523
+ "loss": 1.4107,
524
+ "step": 43000
525
+ },
526
+ {
527
+ "epoch": 0.11,
528
+ "learning_rate": 4.43321737091037e-05,
529
+ "loss": 1.4115,
530
+ "step": 43500
531
+ },
532
+ {
533
+ "epoch": 0.11,
534
+ "learning_rate": 4.426702628047271e-05,
535
+ "loss": 1.4064,
536
+ "step": 44000
537
+ },
538
+ {
539
+ "epoch": 0.12,
540
+ "learning_rate": 4.4201878851841724e-05,
541
+ "loss": 1.4168,
542
+ "step": 44500
543
+ },
544
+ {
545
+ "epoch": 0.12,
546
+ "learning_rate": 4.413673142321073e-05,
547
+ "loss": 1.415,
548
+ "step": 45000
549
+ },
550
+ {
551
+ "epoch": 0.12,
552
+ "learning_rate": 4.407158399457974e-05,
553
+ "loss": 1.4082,
554
+ "step": 45500
555
+ },
556
+ {
557
+ "epoch": 0.12,
558
+ "learning_rate": 4.400643656594874e-05,
559
+ "loss": 1.4104,
560
+ "step": 46000
561
+ },
562
+ {
563
+ "epoch": 0.12,
564
+ "learning_rate": 4.394128913731775e-05,
565
+ "loss": 1.4077,
566
+ "step": 46500
567
+ },
568
+ {
569
+ "epoch": 0.12,
570
+ "learning_rate": 4.3876141708686755e-05,
571
+ "loss": 1.4152,
572
+ "step": 47000
573
+ },
574
+ {
575
+ "epoch": 0.12,
576
+ "learning_rate": 4.3810994280055765e-05,
577
+ "loss": 1.4087,
578
+ "step": 47500
579
+ },
580
+ {
581
+ "epoch": 0.13,
582
+ "learning_rate": 4.3745846851424775e-05,
583
+ "loss": 1.4101,
584
+ "step": 48000
585
+ },
586
+ {
587
+ "epoch": 0.13,
588
+ "learning_rate": 4.3680699422793786e-05,
589
+ "loss": 1.4064,
590
+ "step": 48500
591
+ },
592
+ {
593
+ "epoch": 0.13,
594
+ "learning_rate": 4.361555199416279e-05,
595
+ "loss": 1.4071,
596
+ "step": 49000
597
+ },
598
+ {
599
+ "epoch": 0.13,
600
+ "learning_rate": 4.35504045655318e-05,
601
+ "loss": 1.4124,
602
+ "step": 49500
603
+ },
604
+ {
605
+ "epoch": 0.13,
606
+ "learning_rate": 4.348525713690081e-05,
607
+ "loss": 1.4091,
608
+ "step": 50000
609
+ },
610
+ {
611
+ "epoch": 0.13,
612
+ "learning_rate": 4.342010970826982e-05,
613
+ "loss": 1.4081,
614
+ "step": 50500
615
+ },
616
+ {
617
+ "epoch": 0.13,
618
+ "learning_rate": 4.3354962279638824e-05,
619
+ "loss": 1.4099,
620
+ "step": 51000
621
+ },
622
+ {
623
+ "epoch": 0.13,
624
+ "learning_rate": 4.3289814851007834e-05,
625
+ "loss": 1.4087,
626
+ "step": 51500
627
+ },
628
+ {
629
+ "epoch": 0.14,
630
+ "learning_rate": 4.3224667422376844e-05,
631
+ "loss": 1.3954,
632
+ "step": 52000
633
+ },
634
+ {
635
+ "epoch": 0.14,
636
+ "learning_rate": 4.315951999374585e-05,
637
+ "loss": 1.3962,
638
+ "step": 52500
639
+ },
640
+ {
641
+ "epoch": 0.14,
642
+ "learning_rate": 4.309437256511485e-05,
643
+ "loss": 1.4091,
644
+ "step": 53000
645
+ },
646
+ {
647
+ "epoch": 0.14,
648
+ "learning_rate": 4.302922513648386e-05,
649
+ "loss": 1.403,
650
+ "step": 53500
651
+ },
652
+ {
653
+ "epoch": 0.14,
654
+ "learning_rate": 4.296407770785287e-05,
655
+ "loss": 1.4087,
656
+ "step": 54000
657
+ },
658
+ {
659
+ "epoch": 0.14,
660
+ "learning_rate": 4.289893027922188e-05,
661
+ "loss": 1.4044,
662
+ "step": 54500
663
+ },
664
+ {
665
+ "epoch": 0.14,
666
+ "learning_rate": 4.2833782850590886e-05,
667
+ "loss": 1.3922,
668
+ "step": 55000
669
+ },
670
+ {
671
+ "epoch": 0.14,
672
+ "learning_rate": 4.2768635421959896e-05,
673
+ "loss": 1.4006,
674
+ "step": 55500
675
+ },
676
+ {
677
+ "epoch": 0.15,
678
+ "learning_rate": 4.2703487993328907e-05,
679
+ "loss": 1.3969,
680
+ "step": 56000
681
+ },
682
+ {
683
+ "epoch": 0.15,
684
+ "learning_rate": 4.263834056469792e-05,
685
+ "loss": 1.3985,
686
+ "step": 56500
687
+ },
688
+ {
689
+ "epoch": 0.15,
690
+ "learning_rate": 4.257319313606692e-05,
691
+ "loss": 1.4059,
692
+ "step": 57000
693
+ },
694
+ {
695
+ "epoch": 0.15,
696
+ "learning_rate": 4.250804570743593e-05,
697
+ "loss": 1.3923,
698
+ "step": 57500
699
+ },
700
+ {
701
+ "epoch": 0.15,
702
+ "learning_rate": 4.244289827880494e-05,
703
+ "loss": 1.3966,
704
+ "step": 58000
705
+ },
706
+ {
707
+ "epoch": 0.15,
708
+ "learning_rate": 4.2377750850173945e-05,
709
+ "loss": 1.3921,
710
+ "step": 58500
711
+ },
712
+ {
713
+ "epoch": 0.15,
714
+ "learning_rate": 4.231260342154295e-05,
715
+ "loss": 1.3987,
716
+ "step": 59000
717
+ },
718
+ {
719
+ "epoch": 0.16,
720
+ "learning_rate": 4.224745599291196e-05,
721
+ "loss": 1.3984,
722
+ "step": 59500
723
+ },
724
+ {
725
+ "epoch": 0.16,
726
+ "learning_rate": 4.218230856428097e-05,
727
+ "loss": 1.3914,
728
+ "step": 60000
729
+ },
730
+ {
731
+ "epoch": 0.16,
732
+ "learning_rate": 4.211716113564998e-05,
733
+ "loss": 1.3976,
734
+ "step": 60500
735
+ },
736
+ {
737
+ "epoch": 0.16,
738
+ "learning_rate": 4.205201370701898e-05,
739
+ "loss": 1.3883,
740
+ "step": 61000
741
+ },
742
+ {
743
+ "epoch": 0.16,
744
+ "learning_rate": 4.198686627838799e-05,
745
+ "loss": 1.3898,
746
+ "step": 61500
747
+ },
748
+ {
749
+ "epoch": 0.16,
750
+ "learning_rate": 4.1921718849757e-05,
751
+ "loss": 1.3917,
752
+ "step": 62000
753
+ },
754
+ {
755
+ "epoch": 0.16,
756
+ "learning_rate": 4.1856571421126014e-05,
757
+ "loss": 1.3973,
758
+ "step": 62500
759
+ },
760
+ {
761
+ "epoch": 0.16,
762
+ "learning_rate": 4.179142399249502e-05,
763
+ "loss": 1.392,
764
+ "step": 63000
765
+ },
766
+ {
767
+ "epoch": 0.17,
768
+ "learning_rate": 4.172627656386403e-05,
769
+ "loss": 1.3966,
770
+ "step": 63500
771
+ },
772
+ {
773
+ "epoch": 0.17,
774
+ "learning_rate": 4.166112913523304e-05,
775
+ "loss": 1.3923,
776
+ "step": 64000
777
+ },
778
+ {
779
+ "epoch": 0.17,
780
+ "learning_rate": 4.159598170660204e-05,
781
+ "loss": 1.3838,
782
+ "step": 64500
783
+ },
784
+ {
785
+ "epoch": 0.17,
786
+ "learning_rate": 4.1530834277971045e-05,
787
+ "loss": 1.3881,
788
+ "step": 65000
789
+ },
790
+ {
791
+ "epoch": 0.17,
792
+ "learning_rate": 4.1465686849340055e-05,
793
+ "loss": 1.3865,
794
+ "step": 65500
795
+ },
796
+ {
797
+ "epoch": 0.17,
798
+ "learning_rate": 4.1400539420709065e-05,
799
+ "loss": 1.3855,
800
+ "step": 66000
801
+ },
802
+ {
803
+ "epoch": 0.17,
804
+ "learning_rate": 4.1335391992078076e-05,
805
+ "loss": 1.3888,
806
+ "step": 66500
807
+ },
808
+ {
809
+ "epoch": 0.17,
810
+ "learning_rate": 4.127024456344708e-05,
811
+ "loss": 1.3954,
812
+ "step": 67000
813
+ },
814
+ {
815
+ "epoch": 0.18,
816
+ "learning_rate": 4.120509713481609e-05,
817
+ "loss": 1.387,
818
+ "step": 67500
819
+ },
820
+ {
821
+ "epoch": 0.18,
822
+ "learning_rate": 4.11399497061851e-05,
823
+ "loss": 1.3765,
824
+ "step": 68000
825
+ },
826
+ {
827
+ "epoch": 0.18,
828
+ "learning_rate": 4.107480227755411e-05,
829
+ "loss": 1.387,
830
+ "step": 68500
831
+ },
832
+ {
833
+ "epoch": 0.18,
834
+ "learning_rate": 4.1009654848923114e-05,
835
+ "loss": 1.3865,
836
+ "step": 69000
837
+ },
838
+ {
839
+ "epoch": 0.18,
840
+ "learning_rate": 4.0944507420292124e-05,
841
+ "loss": 1.3913,
842
+ "step": 69500
843
+ },
844
+ {
845
+ "epoch": 0.18,
846
+ "learning_rate": 4.0879359991661134e-05,
847
+ "loss": 1.3781,
848
+ "step": 70000
849
+ },
850
+ {
851
+ "epoch": 0.18,
852
+ "learning_rate": 4.081421256303014e-05,
853
+ "loss": 1.3833,
854
+ "step": 70500
855
+ },
856
+ {
857
+ "epoch": 0.19,
858
+ "learning_rate": 4.074906513439914e-05,
859
+ "loss": 1.3776,
860
+ "step": 71000
861
+ },
862
+ {
863
+ "epoch": 0.19,
864
+ "learning_rate": 4.068391770576815e-05,
865
+ "loss": 1.3837,
866
+ "step": 71500
867
+ },
868
+ {
869
+ "epoch": 0.19,
870
+ "learning_rate": 4.061877027713716e-05,
871
+ "loss": 1.3884,
872
+ "step": 72000
873
+ },
874
+ {
875
+ "epoch": 0.19,
876
+ "learning_rate": 4.055362284850617e-05,
877
+ "loss": 1.3811,
878
+ "step": 72500
879
+ },
880
+ {
881
+ "epoch": 0.19,
882
+ "learning_rate": 4.0488475419875176e-05,
883
+ "loss": 1.3868,
884
+ "step": 73000
885
+ },
886
+ {
887
+ "epoch": 0.19,
888
+ "learning_rate": 4.0423327991244186e-05,
889
+ "loss": 1.384,
890
+ "step": 73500
891
+ },
892
+ {
893
+ "epoch": 0.19,
894
+ "learning_rate": 4.0358180562613196e-05,
895
+ "loss": 1.3832,
896
+ "step": 74000
897
+ },
898
+ {
899
+ "epoch": 0.19,
900
+ "learning_rate": 4.029303313398221e-05,
901
+ "loss": 1.3871,
902
+ "step": 74500
903
+ },
904
+ {
905
+ "epoch": 0.2,
906
+ "learning_rate": 4.022788570535121e-05,
907
+ "loss": 1.386,
908
+ "step": 75000
909
+ },
910
+ {
911
+ "epoch": 0.2,
912
+ "learning_rate": 4.016273827672022e-05,
913
+ "loss": 1.3815,
914
+ "step": 75500
915
+ },
916
+ {
917
+ "epoch": 0.2,
918
+ "learning_rate": 4.009759084808923e-05,
919
+ "loss": 1.3755,
920
+ "step": 76000
921
+ },
922
+ {
923
+ "epoch": 0.2,
924
+ "learning_rate": 4.0032443419458234e-05,
925
+ "loss": 1.3859,
926
+ "step": 76500
927
+ },
928
+ {
929
+ "epoch": 0.2,
930
+ "learning_rate": 3.9967295990827245e-05,
931
+ "loss": 1.38,
932
+ "step": 77000
933
+ },
934
+ {
935
+ "epoch": 0.2,
936
+ "learning_rate": 3.990214856219625e-05,
937
+ "loss": 1.3834,
938
+ "step": 77500
939
+ },
940
+ {
941
+ "epoch": 0.2,
942
+ "learning_rate": 3.983700113356526e-05,
943
+ "loss": 1.3793,
944
+ "step": 78000
945
+ },
946
+ {
947
+ "epoch": 0.2,
948
+ "learning_rate": 3.977185370493427e-05,
949
+ "loss": 1.3765,
950
+ "step": 78500
951
+ },
952
+ {
953
+ "epoch": 0.21,
954
+ "learning_rate": 3.970670627630327e-05,
955
+ "loss": 1.3787,
956
+ "step": 79000
957
+ },
958
+ {
959
+ "epoch": 0.21,
960
+ "learning_rate": 3.964155884767228e-05,
961
+ "loss": 1.3818,
962
+ "step": 79500
963
+ },
964
+ {
965
+ "epoch": 0.21,
966
+ "learning_rate": 3.957641141904129e-05,
967
+ "loss": 1.3736,
968
+ "step": 80000
969
+ },
970
+ {
971
+ "epoch": 0.21,
972
+ "learning_rate": 3.9511263990410303e-05,
973
+ "loss": 1.3854,
974
+ "step": 80500
975
+ },
976
+ {
977
+ "epoch": 0.21,
978
+ "learning_rate": 3.944611656177931e-05,
979
+ "loss": 1.3796,
980
+ "step": 81000
981
+ },
982
+ {
983
+ "epoch": 0.21,
984
+ "learning_rate": 3.938096913314832e-05,
985
+ "loss": 1.3775,
986
+ "step": 81500
987
+ },
988
+ {
989
+ "epoch": 0.21,
990
+ "learning_rate": 3.931582170451733e-05,
991
+ "loss": 1.3768,
992
+ "step": 82000
993
+ },
994
+ {
995
+ "epoch": 0.21,
996
+ "learning_rate": 3.925067427588633e-05,
997
+ "loss": 1.3691,
998
+ "step": 82500
999
+ },
1000
+ {
1001
+ "epoch": 0.22,
1002
+ "learning_rate": 3.918552684725534e-05,
1003
+ "loss": 1.3796,
1004
+ "step": 83000
1005
+ },
1006
+ {
1007
+ "epoch": 0.22,
1008
+ "learning_rate": 3.9120379418624345e-05,
1009
+ "loss": 1.3701,
1010
+ "step": 83500
1011
+ },
1012
+ {
1013
+ "epoch": 0.22,
1014
+ "learning_rate": 3.9055231989993355e-05,
1015
+ "loss": 1.3828,
1016
+ "step": 84000
1017
+ },
1018
+ {
1019
+ "epoch": 0.22,
1020
+ "learning_rate": 3.8990084561362366e-05,
1021
+ "loss": 1.3812,
1022
+ "step": 84500
1023
+ },
1024
+ {
1025
+ "epoch": 0.22,
1026
+ "learning_rate": 3.892493713273137e-05,
1027
+ "loss": 1.3767,
1028
+ "step": 85000
1029
+ },
1030
+ {
1031
+ "epoch": 0.22,
1032
+ "learning_rate": 3.885978970410038e-05,
1033
+ "loss": 1.3712,
1034
+ "step": 85500
1035
+ },
1036
+ {
1037
+ "epoch": 0.22,
1038
+ "learning_rate": 3.879464227546939e-05,
1039
+ "loss": 1.3715,
1040
+ "step": 86000
1041
+ },
1042
+ {
1043
+ "epoch": 0.23,
1044
+ "learning_rate": 3.87294948468384e-05,
1045
+ "loss": 1.3662,
1046
+ "step": 86500
1047
+ },
1048
+ {
1049
+ "epoch": 0.23,
1050
+ "learning_rate": 3.8664347418207404e-05,
1051
+ "loss": 1.3782,
1052
+ "step": 87000
1053
+ },
1054
+ {
1055
+ "epoch": 0.23,
1056
+ "learning_rate": 3.8599199989576414e-05,
1057
+ "loss": 1.3758,
1058
+ "step": 87500
1059
+ },
1060
+ {
1061
+ "epoch": 0.23,
1062
+ "learning_rate": 3.8534052560945424e-05,
1063
+ "loss": 1.3655,
1064
+ "step": 88000
1065
+ },
1066
+ {
1067
+ "epoch": 0.23,
1068
+ "learning_rate": 3.8468905132314435e-05,
1069
+ "loss": 1.3802,
1070
+ "step": 88500
1071
+ },
1072
+ {
1073
+ "epoch": 0.23,
1074
+ "learning_rate": 3.840375770368344e-05,
1075
+ "loss": 1.3766,
1076
+ "step": 89000
1077
+ },
1078
+ {
1079
+ "epoch": 0.23,
1080
+ "learning_rate": 3.833861027505244e-05,
1081
+ "loss": 1.3648,
1082
+ "step": 89500
1083
+ },
1084
+ {
1085
+ "epoch": 0.23,
1086
+ "learning_rate": 3.827346284642145e-05,
1087
+ "loss": 1.3703,
1088
+ "step": 90000
1089
+ },
1090
+ {
1091
+ "epoch": 0.24,
1092
+ "learning_rate": 3.820831541779046e-05,
1093
+ "loss": 1.3643,
1094
+ "step": 90500
1095
+ },
1096
+ {
1097
+ "epoch": 0.24,
1098
+ "learning_rate": 3.8143167989159466e-05,
1099
+ "loss": 1.368,
1100
+ "step": 91000
1101
+ },
1102
+ {
1103
+ "epoch": 0.24,
1104
+ "learning_rate": 3.8078020560528476e-05,
1105
+ "loss": 1.367,
1106
+ "step": 91500
1107
+ },
1108
+ {
1109
+ "epoch": 0.24,
1110
+ "learning_rate": 3.8012873131897486e-05,
1111
+ "loss": 1.3641,
1112
+ "step": 92000
1113
+ },
1114
+ {
1115
+ "epoch": 0.24,
1116
+ "learning_rate": 3.79477257032665e-05,
1117
+ "loss": 1.3743,
1118
+ "step": 92500
1119
+ },
1120
+ {
1121
+ "epoch": 0.24,
1122
+ "learning_rate": 3.78825782746355e-05,
1123
+ "loss": 1.3724,
1124
+ "step": 93000
1125
+ },
1126
+ {
1127
+ "epoch": 0.24,
1128
+ "learning_rate": 3.781743084600451e-05,
1129
+ "loss": 1.3729,
1130
+ "step": 93500
1131
+ },
1132
+ {
1133
+ "epoch": 0.24,
1134
+ "learning_rate": 3.775228341737352e-05,
1135
+ "loss": 1.3627,
1136
+ "step": 94000
1137
+ },
1138
+ {
1139
+ "epoch": 0.25,
1140
+ "learning_rate": 3.768713598874253e-05,
1141
+ "loss": 1.3649,
1142
+ "step": 94500
1143
+ },
1144
+ {
1145
+ "epoch": 0.25,
1146
+ "learning_rate": 3.7621988560111535e-05,
1147
+ "loss": 1.3617,
1148
+ "step": 95000
1149
+ },
1150
+ {
1151
+ "epoch": 0.25,
1152
+ "learning_rate": 3.755684113148054e-05,
1153
+ "loss": 1.3645,
1154
+ "step": 95500
1155
+ },
1156
+ {
1157
+ "epoch": 0.25,
1158
+ "learning_rate": 3.749169370284955e-05,
1159
+ "loss": 1.3537,
1160
+ "step": 96000
1161
+ },
1162
+ {
1163
+ "epoch": 0.25,
1164
+ "learning_rate": 3.742654627421856e-05,
1165
+ "loss": 1.3666,
1166
+ "step": 96500
1167
+ },
1168
+ {
1169
+ "epoch": 0.25,
1170
+ "learning_rate": 3.736139884558756e-05,
1171
+ "loss": 1.3629,
1172
+ "step": 97000
1173
+ },
1174
+ {
1175
+ "epoch": 0.25,
1176
+ "learning_rate": 3.729625141695657e-05,
1177
+ "loss": 1.367,
1178
+ "step": 97500
1179
+ },
1180
+ {
1181
+ "epoch": 0.26,
1182
+ "learning_rate": 3.723110398832558e-05,
1183
+ "loss": 1.3658,
1184
+ "step": 98000
1185
+ },
1186
+ {
1187
+ "epoch": 0.26,
1188
+ "learning_rate": 3.716595655969459e-05,
1189
+ "loss": 1.3599,
1190
+ "step": 98500
1191
+ },
1192
+ {
1193
+ "epoch": 0.26,
1194
+ "learning_rate": 3.71008091310636e-05,
1195
+ "loss": 1.3658,
1196
+ "step": 99000
1197
+ },
1198
+ {
1199
+ "epoch": 0.26,
1200
+ "learning_rate": 3.703566170243261e-05,
1201
+ "loss": 1.3595,
1202
+ "step": 99500
1203
+ },
1204
+ {
1205
+ "epoch": 0.26,
1206
+ "learning_rate": 3.697051427380162e-05,
1207
+ "loss": 1.3662,
1208
+ "step": 100000
1209
+ },
1210
+ {
1211
+ "epoch": 0.26,
1212
+ "learning_rate": 3.690536684517063e-05,
1213
+ "loss": 1.3613,
1214
+ "step": 100500
1215
+ },
1216
+ {
1217
+ "epoch": 0.26,
1218
+ "learning_rate": 3.684021941653963e-05,
1219
+ "loss": 1.3626,
1220
+ "step": 101000
1221
+ },
1222
+ {
1223
+ "epoch": 0.26,
1224
+ "learning_rate": 3.6775071987908635e-05,
1225
+ "loss": 1.3692,
1226
+ "step": 101500
1227
+ },
1228
+ {
1229
+ "epoch": 0.27,
1230
+ "learning_rate": 3.6709924559277645e-05,
1231
+ "loss": 1.3572,
1232
+ "step": 102000
1233
+ },
1234
+ {
1235
+ "epoch": 0.27,
1236
+ "learning_rate": 3.6644777130646656e-05,
1237
+ "loss": 1.3553,
1238
+ "step": 102500
1239
+ },
1240
+ {
1241
+ "epoch": 0.27,
1242
+ "learning_rate": 3.657962970201566e-05,
1243
+ "loss": 1.3561,
1244
+ "step": 103000
1245
+ },
1246
+ {
1247
+ "epoch": 0.27,
1248
+ "learning_rate": 3.651448227338467e-05,
1249
+ "loss": 1.3588,
1250
+ "step": 103500
1251
+ },
1252
+ {
1253
+ "epoch": 0.27,
1254
+ "learning_rate": 3.644933484475368e-05,
1255
+ "loss": 1.3554,
1256
+ "step": 104000
1257
+ },
1258
+ {
1259
+ "epoch": 0.27,
1260
+ "learning_rate": 3.638418741612269e-05,
1261
+ "loss": 1.3612,
1262
+ "step": 104500
1263
+ },
1264
+ {
1265
+ "epoch": 0.27,
1266
+ "learning_rate": 3.6319039987491694e-05,
1267
+ "loss": 1.3579,
1268
+ "step": 105000
1269
+ },
1270
+ {
1271
+ "epoch": 0.27,
1272
+ "learning_rate": 3.6253892558860704e-05,
1273
+ "loss": 1.3564,
1274
+ "step": 105500
1275
+ },
1276
+ {
1277
+ "epoch": 0.28,
1278
+ "learning_rate": 3.6188745130229714e-05,
1279
+ "loss": 1.3523,
1280
+ "step": 106000
1281
+ },
1282
+ {
1283
+ "epoch": 0.28,
1284
+ "learning_rate": 3.6123597701598724e-05,
1285
+ "loss": 1.353,
1286
+ "step": 106500
1287
+ },
1288
+ {
1289
+ "epoch": 0.28,
1290
+ "learning_rate": 3.605845027296773e-05,
1291
+ "loss": 1.3539,
1292
+ "step": 107000
1293
+ },
1294
+ {
1295
+ "epoch": 0.28,
1296
+ "learning_rate": 3.599330284433673e-05,
1297
+ "loss": 1.3577,
1298
+ "step": 107500
1299
+ },
1300
+ {
1301
+ "epoch": 0.28,
1302
+ "learning_rate": 3.592815541570574e-05,
1303
+ "loss": 1.353,
1304
+ "step": 108000
1305
+ },
1306
+ {
1307
+ "epoch": 0.28,
1308
+ "learning_rate": 3.586300798707475e-05,
1309
+ "loss": 1.3577,
1310
+ "step": 108500
1311
+ },
1312
+ {
1313
+ "epoch": 0.28,
1314
+ "learning_rate": 3.5797860558443756e-05,
1315
+ "loss": 1.3528,
1316
+ "step": 109000
1317
+ },
1318
+ {
1319
+ "epoch": 0.29,
1320
+ "learning_rate": 3.5732713129812766e-05,
1321
+ "loss": 1.364,
1322
+ "step": 109500
1323
+ },
1324
+ {
1325
+ "epoch": 0.29,
1326
+ "learning_rate": 3.5667565701181776e-05,
1327
+ "loss": 1.3585,
1328
+ "step": 110000
1329
+ },
1330
+ {
1331
+ "epoch": 0.29,
1332
+ "learning_rate": 3.560241827255079e-05,
1333
+ "loss": 1.3559,
1334
+ "step": 110500
1335
+ },
1336
+ {
1337
+ "epoch": 0.29,
1338
+ "learning_rate": 3.553727084391979e-05,
1339
+ "loss": 1.3518,
1340
+ "step": 111000
1341
+ },
1342
+ {
1343
+ "epoch": 0.29,
1344
+ "learning_rate": 3.54721234152888e-05,
1345
+ "loss": 1.3575,
1346
+ "step": 111500
1347
+ },
1348
+ {
1349
+ "epoch": 0.29,
1350
+ "learning_rate": 3.540697598665781e-05,
1351
+ "loss": 1.3527,
1352
+ "step": 112000
1353
+ },
1354
+ {
1355
+ "epoch": 0.29,
1356
+ "learning_rate": 3.534182855802682e-05,
1357
+ "loss": 1.3525,
1358
+ "step": 112500
1359
+ },
1360
+ {
1361
+ "epoch": 0.29,
1362
+ "learning_rate": 3.5276681129395825e-05,
1363
+ "loss": 1.353,
1364
+ "step": 113000
1365
+ },
1366
+ {
1367
+ "epoch": 0.3,
1368
+ "learning_rate": 3.5211533700764835e-05,
1369
+ "loss": 1.3471,
1370
+ "step": 113500
1371
+ },
1372
+ {
1373
+ "epoch": 0.3,
1374
+ "learning_rate": 3.514638627213384e-05,
1375
+ "loss": 1.3439,
1376
+ "step": 114000
1377
+ },
1378
+ {
1379
+ "epoch": 0.3,
1380
+ "learning_rate": 3.508123884350285e-05,
1381
+ "loss": 1.3478,
1382
+ "step": 114500
1383
+ },
1384
+ {
1385
+ "epoch": 0.3,
1386
+ "learning_rate": 3.501609141487185e-05,
1387
+ "loss": 1.3502,
1388
+ "step": 115000
1389
+ },
1390
+ {
1391
+ "epoch": 0.3,
1392
+ "learning_rate": 3.495094398624086e-05,
1393
+ "loss": 1.3482,
1394
+ "step": 115500
1395
+ },
1396
+ {
1397
+ "epoch": 0.3,
1398
+ "learning_rate": 3.488579655760987e-05,
1399
+ "loss": 1.3565,
1400
+ "step": 116000
1401
+ },
1402
+ {
1403
+ "epoch": 0.3,
1404
+ "learning_rate": 3.482064912897888e-05,
1405
+ "loss": 1.3556,
1406
+ "step": 116500
1407
+ },
1408
+ {
1409
+ "epoch": 0.3,
1410
+ "learning_rate": 3.475550170034789e-05,
1411
+ "loss": 1.3455,
1412
+ "step": 117000
1413
+ },
1414
+ {
1415
+ "epoch": 0.31,
1416
+ "learning_rate": 3.46903542717169e-05,
1417
+ "loss": 1.3487,
1418
+ "step": 117500
1419
+ },
1420
+ {
1421
+ "epoch": 0.31,
1422
+ "learning_rate": 3.462520684308591e-05,
1423
+ "loss": 1.3422,
1424
+ "step": 118000
1425
+ },
1426
+ {
1427
+ "epoch": 0.31,
1428
+ "learning_rate": 3.456005941445492e-05,
1429
+ "loss": 1.3493,
1430
+ "step": 118500
1431
+ },
1432
+ {
1433
+ "epoch": 0.31,
1434
+ "learning_rate": 3.449491198582392e-05,
1435
+ "loss": 1.3547,
1436
+ "step": 119000
1437
+ },
1438
+ {
1439
+ "epoch": 0.31,
1440
+ "learning_rate": 3.442976455719293e-05,
1441
+ "loss": 1.3355,
1442
+ "step": 119500
1443
+ },
1444
+ {
1445
+ "epoch": 0.31,
1446
+ "learning_rate": 3.4364617128561935e-05,
1447
+ "loss": 1.3569,
1448
+ "step": 120000
1449
+ },
1450
+ {
1451
+ "epoch": 0.31,
1452
+ "learning_rate": 3.4299469699930945e-05,
1453
+ "loss": 1.3542,
1454
+ "step": 120500
1455
+ },
1456
+ {
1457
+ "epoch": 0.32,
1458
+ "learning_rate": 3.423432227129995e-05,
1459
+ "loss": 1.3408,
1460
+ "step": 121000
1461
+ },
1462
+ {
1463
+ "epoch": 0.32,
1464
+ "learning_rate": 3.416917484266896e-05,
1465
+ "loss": 1.3452,
1466
+ "step": 121500
1467
+ },
1468
+ {
1469
+ "epoch": 0.32,
1470
+ "learning_rate": 3.410402741403797e-05,
1471
+ "loss": 1.3521,
1472
+ "step": 122000
1473
+ },
1474
+ {
1475
+ "epoch": 0.32,
1476
+ "learning_rate": 3.403887998540698e-05,
1477
+ "loss": 1.3483,
1478
+ "step": 122500
1479
+ },
1480
+ {
1481
+ "epoch": 0.32,
1482
+ "learning_rate": 3.3973732556775983e-05,
1483
+ "loss": 1.3409,
1484
+ "step": 123000
1485
+ },
1486
+ {
1487
+ "epoch": 0.32,
1488
+ "learning_rate": 3.3908585128144994e-05,
1489
+ "loss": 1.3493,
1490
+ "step": 123500
1491
+ },
1492
+ {
1493
+ "epoch": 0.32,
1494
+ "learning_rate": 3.3843437699514004e-05,
1495
+ "loss": 1.3459,
1496
+ "step": 124000
1497
+ },
1498
+ {
1499
+ "epoch": 0.32,
1500
+ "learning_rate": 3.3778290270883014e-05,
1501
+ "loss": 1.3358,
1502
+ "step": 124500
1503
+ },
1504
+ {
1505
+ "epoch": 0.33,
1506
+ "learning_rate": 3.371314284225202e-05,
1507
+ "loss": 1.347,
1508
+ "step": 125000
1509
+ },
1510
+ {
1511
+ "epoch": 0.33,
1512
+ "learning_rate": 3.364799541362103e-05,
1513
+ "loss": 1.3453,
1514
+ "step": 125500
1515
+ },
1516
+ {
1517
+ "epoch": 0.33,
1518
+ "learning_rate": 3.358284798499003e-05,
1519
+ "loss": 1.3358,
1520
+ "step": 126000
1521
+ },
1522
+ {
1523
+ "epoch": 0.33,
1524
+ "learning_rate": 3.351770055635904e-05,
1525
+ "loss": 1.3601,
1526
+ "step": 126500
1527
+ },
1528
+ {
1529
+ "epoch": 0.33,
1530
+ "learning_rate": 3.3452553127728046e-05,
1531
+ "loss": 1.3471,
1532
+ "step": 127000
1533
+ },
1534
+ {
1535
+ "epoch": 0.33,
1536
+ "learning_rate": 3.3387405699097056e-05,
1537
+ "loss": 1.3505,
1538
+ "step": 127500
1539
+ },
1540
+ {
1541
+ "epoch": 0.33,
1542
+ "learning_rate": 3.3322258270466066e-05,
1543
+ "loss": 1.3415,
1544
+ "step": 128000
1545
+ },
1546
+ {
1547
+ "epoch": 0.33,
1548
+ "learning_rate": 3.3257110841835077e-05,
1549
+ "loss": 1.3301,
1550
+ "step": 128500
1551
+ },
1552
+ {
1553
+ "epoch": 0.34,
1554
+ "learning_rate": 3.319196341320408e-05,
1555
+ "loss": 1.3444,
1556
+ "step": 129000
1557
+ },
1558
+ {
1559
+ "epoch": 0.34,
1560
+ "learning_rate": 3.312681598457309e-05,
1561
+ "loss": 1.34,
1562
+ "step": 129500
1563
+ },
1564
+ {
1565
+ "epoch": 0.34,
1566
+ "learning_rate": 3.30616685559421e-05,
1567
+ "loss": 1.3383,
1568
+ "step": 130000
1569
+ },
1570
+ {
1571
+ "epoch": 0.34,
1572
+ "learning_rate": 3.299652112731111e-05,
1573
+ "loss": 1.3386,
1574
+ "step": 130500
1575
+ },
1576
+ {
1577
+ "epoch": 0.34,
1578
+ "learning_rate": 3.2931373698680115e-05,
1579
+ "loss": 1.3397,
1580
+ "step": 131000
1581
+ },
1582
+ {
1583
+ "epoch": 0.34,
1584
+ "learning_rate": 3.2866226270049125e-05,
1585
+ "loss": 1.3377,
1586
+ "step": 131500
1587
+ },
1588
+ {
1589
+ "epoch": 0.34,
1590
+ "learning_rate": 3.280107884141813e-05,
1591
+ "loss": 1.3377,
1592
+ "step": 132000
1593
+ },
1594
+ {
1595
+ "epoch": 0.35,
1596
+ "learning_rate": 3.273593141278714e-05,
1597
+ "loss": 1.3327,
1598
+ "step": 132500
1599
+ },
1600
+ {
1601
+ "epoch": 0.35,
1602
+ "learning_rate": 3.267078398415614e-05,
1603
+ "loss": 1.3333,
1604
+ "step": 133000
1605
+ },
1606
+ {
1607
+ "epoch": 0.35,
1608
+ "learning_rate": 3.260563655552515e-05,
1609
+ "loss": 1.3369,
1610
+ "step": 133500
1611
+ },
1612
+ {
1613
+ "epoch": 0.35,
1614
+ "learning_rate": 3.254048912689416e-05,
1615
+ "loss": 1.3389,
1616
+ "step": 134000
1617
+ },
1618
+ {
1619
+ "epoch": 0.35,
1620
+ "learning_rate": 3.247534169826317e-05,
1621
+ "loss": 1.3419,
1622
+ "step": 134500
1623
+ },
1624
+ {
1625
+ "epoch": 0.35,
1626
+ "learning_rate": 3.241019426963218e-05,
1627
+ "loss": 1.3362,
1628
+ "step": 135000
1629
+ },
1630
+ {
1631
+ "epoch": 0.35,
1632
+ "learning_rate": 3.234504684100119e-05,
1633
+ "loss": 1.338,
1634
+ "step": 135500
1635
+ },
1636
+ {
1637
+ "epoch": 0.35,
1638
+ "learning_rate": 3.22798994123702e-05,
1639
+ "loss": 1.3349,
1640
+ "step": 136000
1641
+ },
1642
+ {
1643
+ "epoch": 0.36,
1644
+ "learning_rate": 3.221475198373921e-05,
1645
+ "loss": 1.3299,
1646
+ "step": 136500
1647
+ },
1648
+ {
1649
+ "epoch": 0.36,
1650
+ "learning_rate": 3.214960455510821e-05,
1651
+ "loss": 1.3305,
1652
+ "step": 137000
1653
+ },
1654
+ {
1655
+ "epoch": 0.36,
1656
+ "learning_rate": 3.208445712647722e-05,
1657
+ "loss": 1.3395,
1658
+ "step": 137500
1659
+ },
1660
+ {
1661
+ "epoch": 0.36,
1662
+ "learning_rate": 3.2019309697846225e-05,
1663
+ "loss": 1.3348,
1664
+ "step": 138000
1665
+ },
1666
+ {
1667
+ "epoch": 0.36,
1668
+ "learning_rate": 3.1954162269215235e-05,
1669
+ "loss": 1.3358,
1670
+ "step": 138500
1671
+ },
1672
+ {
1673
+ "epoch": 0.36,
1674
+ "learning_rate": 3.188901484058424e-05,
1675
+ "loss": 1.3295,
1676
+ "step": 139000
1677
+ },
1678
+ {
1679
+ "epoch": 0.36,
1680
+ "learning_rate": 3.182386741195325e-05,
1681
+ "loss": 1.335,
1682
+ "step": 139500
1683
+ },
1684
+ {
1685
+ "epoch": 0.36,
1686
+ "learning_rate": 3.175871998332226e-05,
1687
+ "loss": 1.3326,
1688
+ "step": 140000
1689
+ },
1690
+ {
1691
+ "epoch": 0.37,
1692
+ "learning_rate": 3.169357255469127e-05,
1693
+ "loss": 1.3367,
1694
+ "step": 140500
1695
+ },
1696
+ {
1697
+ "epoch": 0.37,
1698
+ "learning_rate": 3.162842512606027e-05,
1699
+ "loss": 1.3372,
1700
+ "step": 141000
1701
+ },
1702
+ {
1703
+ "epoch": 0.37,
1704
+ "learning_rate": 3.1563277697429284e-05,
1705
+ "loss": 1.3337,
1706
+ "step": 141500
1707
+ },
1708
+ {
1709
+ "epoch": 0.37,
1710
+ "learning_rate": 3.1498130268798294e-05,
1711
+ "loss": 1.3295,
1712
+ "step": 142000
1713
+ },
1714
+ {
1715
+ "epoch": 0.37,
1716
+ "learning_rate": 3.1432982840167304e-05,
1717
+ "loss": 1.3445,
1718
+ "step": 142500
1719
+ },
1720
+ {
1721
+ "epoch": 0.37,
1722
+ "learning_rate": 3.136783541153631e-05,
1723
+ "loss": 1.33,
1724
+ "step": 143000
1725
+ },
1726
+ {
1727
+ "epoch": 0.37,
1728
+ "learning_rate": 3.130268798290532e-05,
1729
+ "loss": 1.3319,
1730
+ "step": 143500
1731
+ },
1732
+ {
1733
+ "epoch": 0.38,
1734
+ "learning_rate": 3.123754055427432e-05,
1735
+ "loss": 1.3295,
1736
+ "step": 144000
1737
+ },
1738
+ {
1739
+ "epoch": 0.38,
1740
+ "learning_rate": 3.117239312564333e-05,
1741
+ "loss": 1.3294,
1742
+ "step": 144500
1743
+ },
1744
+ {
1745
+ "epoch": 0.38,
1746
+ "learning_rate": 3.1107245697012335e-05,
1747
+ "loss": 1.3217,
1748
+ "step": 145000
1749
+ },
1750
+ {
1751
+ "epoch": 0.38,
1752
+ "learning_rate": 3.1042098268381346e-05,
1753
+ "loss": 1.3308,
1754
+ "step": 145500
1755
+ },
1756
+ {
1757
+ "epoch": 0.38,
1758
+ "learning_rate": 3.0976950839750356e-05,
1759
+ "loss": 1.3278,
1760
+ "step": 146000
1761
+ },
1762
+ {
1763
+ "epoch": 0.38,
1764
+ "learning_rate": 3.0911803411119366e-05,
1765
+ "loss": 1.3286,
1766
+ "step": 146500
1767
+ },
1768
+ {
1769
+ "epoch": 0.38,
1770
+ "learning_rate": 3.084665598248837e-05,
1771
+ "loss": 1.3352,
1772
+ "step": 147000
1773
+ },
1774
+ {
1775
+ "epoch": 0.38,
1776
+ "learning_rate": 3.078150855385738e-05,
1777
+ "loss": 1.3125,
1778
+ "step": 147500
1779
+ },
1780
+ {
1781
+ "epoch": 0.39,
1782
+ "learning_rate": 3.071636112522639e-05,
1783
+ "loss": 1.3303,
1784
+ "step": 148000
1785
+ },
1786
+ {
1787
+ "epoch": 0.39,
1788
+ "learning_rate": 3.06512136965954e-05,
1789
+ "loss": 1.3185,
1790
+ "step": 148500
1791
+ },
1792
+ {
1793
+ "epoch": 0.39,
1794
+ "learning_rate": 3.0586066267964404e-05,
1795
+ "loss": 1.3295,
1796
+ "step": 149000
1797
+ },
1798
+ {
1799
+ "epoch": 0.39,
1800
+ "learning_rate": 3.0520918839333415e-05,
1801
+ "loss": 1.3218,
1802
+ "step": 149500
1803
+ },
1804
+ {
1805
+ "epoch": 0.39,
1806
+ "learning_rate": 3.045577141070242e-05,
1807
+ "loss": 1.3252,
1808
+ "step": 150000
1809
+ },
1810
+ {
1811
+ "epoch": 0.39,
1812
+ "learning_rate": 3.0390623982071432e-05,
1813
+ "loss": 1.3241,
1814
+ "step": 150500
1815
+ },
1816
+ {
1817
+ "epoch": 0.39,
1818
+ "learning_rate": 3.0325476553440436e-05,
1819
+ "loss": 1.3232,
1820
+ "step": 151000
1821
+ },
1822
+ {
1823
+ "epoch": 0.39,
1824
+ "learning_rate": 3.0260329124809446e-05,
1825
+ "loss": 1.329,
1826
+ "step": 151500
1827
+ },
1828
+ {
1829
+ "epoch": 0.4,
1830
+ "learning_rate": 3.0195181696178453e-05,
1831
+ "loss": 1.33,
1832
+ "step": 152000
1833
+ },
1834
+ {
1835
+ "epoch": 0.4,
1836
+ "learning_rate": 3.0130034267547463e-05,
1837
+ "loss": 1.3331,
1838
+ "step": 152500
1839
+ },
1840
+ {
1841
+ "epoch": 0.4,
1842
+ "learning_rate": 3.0064886838916467e-05,
1843
+ "loss": 1.32,
1844
+ "step": 153000
1845
+ },
1846
+ {
1847
+ "epoch": 0.4,
1848
+ "learning_rate": 2.9999739410285477e-05,
1849
+ "loss": 1.316,
1850
+ "step": 153500
1851
+ },
1852
+ {
1853
+ "epoch": 0.4,
1854
+ "learning_rate": 2.9934591981654487e-05,
1855
+ "loss": 1.3224,
1856
+ "step": 154000
1857
+ },
1858
+ {
1859
+ "epoch": 0.4,
1860
+ "learning_rate": 2.9869444553023494e-05,
1861
+ "loss": 1.3297,
1862
+ "step": 154500
1863
+ },
1864
+ {
1865
+ "epoch": 0.4,
1866
+ "learning_rate": 2.98042971243925e-05,
1867
+ "loss": 1.3222,
1868
+ "step": 155000
1869
+ },
1870
+ {
1871
+ "epoch": 0.41,
1872
+ "learning_rate": 2.9739149695761508e-05,
1873
+ "loss": 1.3346,
1874
+ "step": 155500
1875
+ },
1876
+ {
1877
+ "epoch": 0.41,
1878
+ "learning_rate": 2.9674002267130518e-05,
1879
+ "loss": 1.3314,
1880
+ "step": 156000
1881
+ },
1882
+ {
1883
+ "epoch": 0.41,
1884
+ "learning_rate": 2.960885483849953e-05,
1885
+ "loss": 1.3266,
1886
+ "step": 156500
1887
+ },
1888
+ {
1889
+ "epoch": 0.41,
1890
+ "learning_rate": 2.9543707409868532e-05,
1891
+ "loss": 1.3189,
1892
+ "step": 157000
1893
+ },
1894
+ {
1895
+ "epoch": 0.41,
1896
+ "learning_rate": 2.9478559981237542e-05,
1897
+ "loss": 1.3265,
1898
+ "step": 157500
1899
+ },
1900
+ {
1901
+ "epoch": 0.41,
1902
+ "learning_rate": 2.941341255260655e-05,
1903
+ "loss": 1.3136,
1904
+ "step": 158000
1905
+ },
1906
+ {
1907
+ "epoch": 0.41,
1908
+ "learning_rate": 2.934826512397556e-05,
1909
+ "loss": 1.3229,
1910
+ "step": 158500
1911
+ },
1912
+ {
1913
+ "epoch": 0.41,
1914
+ "learning_rate": 2.9283117695344563e-05,
1915
+ "loss": 1.3244,
1916
+ "step": 159000
1917
+ },
1918
+ {
1919
+ "epoch": 0.42,
1920
+ "learning_rate": 2.9217970266713574e-05,
1921
+ "loss": 1.3237,
1922
+ "step": 159500
1923
+ },
1924
+ {
1925
+ "epoch": 0.42,
1926
+ "learning_rate": 2.9152822838082584e-05,
1927
+ "loss": 1.3136,
1928
+ "step": 160000
1929
+ },
1930
+ {
1931
+ "epoch": 0.42,
1932
+ "learning_rate": 2.908767540945159e-05,
1933
+ "loss": 1.3158,
1934
+ "step": 160500
1935
+ },
1936
+ {
1937
+ "epoch": 0.42,
1938
+ "learning_rate": 2.9022527980820598e-05,
1939
+ "loss": 1.3164,
1940
+ "step": 161000
1941
+ },
1942
+ {
1943
+ "epoch": 0.42,
1944
+ "learning_rate": 2.8957380552189605e-05,
1945
+ "loss": 1.3238,
1946
+ "step": 161500
1947
+ },
1948
+ {
1949
+ "epoch": 0.42,
1950
+ "learning_rate": 2.8892233123558615e-05,
1951
+ "loss": 1.3206,
1952
+ "step": 162000
1953
+ },
1954
+ {
1955
+ "epoch": 0.42,
1956
+ "learning_rate": 2.8827085694927625e-05,
1957
+ "loss": 1.3232,
1958
+ "step": 162500
1959
+ },
1960
+ {
1961
+ "epoch": 0.42,
1962
+ "learning_rate": 2.876193826629663e-05,
1963
+ "loss": 1.316,
1964
+ "step": 163000
1965
+ },
1966
+ {
1967
+ "epoch": 0.43,
1968
+ "learning_rate": 2.869679083766564e-05,
1969
+ "loss": 1.3094,
1970
+ "step": 163500
1971
+ },
1972
+ {
1973
+ "epoch": 0.43,
1974
+ "learning_rate": 2.8631643409034646e-05,
1975
+ "loss": 1.313,
1976
+ "step": 164000
1977
+ },
1978
+ {
1979
+ "epoch": 0.43,
1980
+ "learning_rate": 2.8566495980403656e-05,
1981
+ "loss": 1.3158,
1982
+ "step": 164500
1983
+ },
1984
+ {
1985
+ "epoch": 0.43,
1986
+ "learning_rate": 2.850134855177266e-05,
1987
+ "loss": 1.3211,
1988
+ "step": 165000
1989
+ },
1990
+ {
1991
+ "epoch": 0.43,
1992
+ "learning_rate": 2.843620112314167e-05,
1993
+ "loss": 1.3155,
1994
+ "step": 165500
1995
+ },
1996
+ {
1997
+ "epoch": 0.43,
1998
+ "learning_rate": 2.837105369451068e-05,
1999
+ "loss": 1.314,
2000
+ "step": 166000
2001
+ },
2002
+ {
2003
+ "epoch": 0.43,
2004
+ "learning_rate": 2.830590626587969e-05,
2005
+ "loss": 1.3217,
2006
+ "step": 166500
2007
+ },
2008
+ {
2009
+ "epoch": 0.44,
2010
+ "learning_rate": 2.8240758837248694e-05,
2011
+ "loss": 1.3236,
2012
+ "step": 167000
2013
+ },
2014
+ {
2015
+ "epoch": 0.44,
2016
+ "learning_rate": 2.81756114086177e-05,
2017
+ "loss": 1.3118,
2018
+ "step": 167500
2019
+ },
2020
+ {
2021
+ "epoch": 0.44,
2022
+ "learning_rate": 2.811046397998671e-05,
2023
+ "loss": 1.3163,
2024
+ "step": 168000
2025
+ },
2026
+ {
2027
+ "epoch": 0.44,
2028
+ "learning_rate": 2.8045316551355722e-05,
2029
+ "loss": 1.3117,
2030
+ "step": 168500
2031
+ },
2032
+ {
2033
+ "epoch": 0.44,
2034
+ "learning_rate": 2.7980169122724725e-05,
2035
+ "loss": 1.3104,
2036
+ "step": 169000
2037
+ },
2038
+ {
2039
+ "epoch": 0.44,
2040
+ "learning_rate": 2.7915021694093736e-05,
2041
+ "loss": 1.3209,
2042
+ "step": 169500
2043
+ },
2044
+ {
2045
+ "epoch": 0.44,
2046
+ "learning_rate": 2.7849874265462743e-05,
2047
+ "loss": 1.3155,
2048
+ "step": 170000
2049
+ },
2050
+ {
2051
+ "epoch": 0.44,
2052
+ "learning_rate": 2.7784726836831753e-05,
2053
+ "loss": 1.3046,
2054
+ "step": 170500
2055
+ },
2056
+ {
2057
+ "epoch": 0.45,
2058
+ "learning_rate": 2.7719579408200757e-05,
2059
+ "loss": 1.3179,
2060
+ "step": 171000
2061
+ },
2062
+ {
2063
+ "epoch": 0.45,
2064
+ "learning_rate": 2.7654431979569767e-05,
2065
+ "loss": 1.3151,
2066
+ "step": 171500
2067
+ },
2068
+ {
2069
+ "epoch": 0.45,
2070
+ "learning_rate": 2.7589284550938777e-05,
2071
+ "loss": 1.3135,
2072
+ "step": 172000
2073
+ },
2074
+ {
2075
+ "epoch": 0.45,
2076
+ "learning_rate": 2.7524137122307787e-05,
2077
+ "loss": 1.3182,
2078
+ "step": 172500
2079
+ },
2080
+ {
2081
+ "epoch": 0.45,
2082
+ "learning_rate": 2.745898969367679e-05,
2083
+ "loss": 1.3114,
2084
+ "step": 173000
2085
+ },
2086
+ {
2087
+ "epoch": 0.45,
2088
+ "learning_rate": 2.7393842265045798e-05,
2089
+ "loss": 1.3103,
2090
+ "step": 173500
2091
+ },
2092
+ {
2093
+ "epoch": 0.45,
2094
+ "learning_rate": 2.7328694836414808e-05,
2095
+ "loss": 1.3097,
2096
+ "step": 174000
2097
+ },
2098
+ {
2099
+ "epoch": 0.45,
2100
+ "learning_rate": 2.726354740778382e-05,
2101
+ "loss": 1.3122,
2102
+ "step": 174500
2103
+ },
2104
+ {
2105
+ "epoch": 0.46,
2106
+ "learning_rate": 2.7198399979152822e-05,
2107
+ "loss": 1.3144,
2108
+ "step": 175000
2109
+ },
2110
+ {
2111
+ "epoch": 0.46,
2112
+ "learning_rate": 2.7133252550521832e-05,
2113
+ "loss": 1.3087,
2114
+ "step": 175500
2115
+ },
2116
+ {
2117
+ "epoch": 0.46,
2118
+ "learning_rate": 2.7068105121890843e-05,
2119
+ "loss": 1.3114,
2120
+ "step": 176000
2121
+ },
2122
+ {
2123
+ "epoch": 0.46,
2124
+ "learning_rate": 2.700295769325985e-05,
2125
+ "loss": 1.3098,
2126
+ "step": 176500
2127
+ },
2128
+ {
2129
+ "epoch": 0.46,
2130
+ "learning_rate": 2.6937810264628853e-05,
2131
+ "loss": 1.3131,
2132
+ "step": 177000
2133
+ },
2134
+ {
2135
+ "epoch": 0.46,
2136
+ "learning_rate": 2.6872662835997863e-05,
2137
+ "loss": 1.3064,
2138
+ "step": 177500
2139
+ },
2140
+ {
2141
+ "epoch": 0.46,
2142
+ "learning_rate": 2.6807515407366874e-05,
2143
+ "loss": 1.3102,
2144
+ "step": 178000
2145
+ },
2146
+ {
2147
+ "epoch": 0.47,
2148
+ "learning_rate": 2.6742367978735884e-05,
2149
+ "loss": 1.31,
2150
+ "step": 178500
2151
+ },
2152
+ {
2153
+ "epoch": 0.47,
2154
+ "learning_rate": 2.6677220550104888e-05,
2155
+ "loss": 1.3068,
2156
+ "step": 179000
2157
+ },
2158
+ {
2159
+ "epoch": 0.47,
2160
+ "learning_rate": 2.6612073121473895e-05,
2161
+ "loss": 1.3148,
2162
+ "step": 179500
2163
+ },
2164
+ {
2165
+ "epoch": 0.47,
2166
+ "learning_rate": 2.6546925692842905e-05,
2167
+ "loss": 1.317,
2168
+ "step": 180000
2169
+ },
2170
+ {
2171
+ "epoch": 0.47,
2172
+ "learning_rate": 2.6481778264211915e-05,
2173
+ "loss": 1.3105,
2174
+ "step": 180500
2175
+ },
2176
+ {
2177
+ "epoch": 0.47,
2178
+ "learning_rate": 2.641663083558092e-05,
2179
+ "loss": 1.3166,
2180
+ "step": 181000
2181
+ },
2182
+ {
2183
+ "epoch": 0.47,
2184
+ "learning_rate": 2.635148340694993e-05,
2185
+ "loss": 1.3029,
2186
+ "step": 181500
2187
+ },
2188
+ {
2189
+ "epoch": 0.47,
2190
+ "learning_rate": 2.628633597831894e-05,
2191
+ "loss": 1.3018,
2192
+ "step": 182000
2193
+ },
2194
+ {
2195
+ "epoch": 0.48,
2196
+ "learning_rate": 2.6221188549687946e-05,
2197
+ "loss": 1.311,
2198
+ "step": 182500
2199
+ },
2200
+ {
2201
+ "epoch": 0.48,
2202
+ "learning_rate": 2.615604112105695e-05,
2203
+ "loss": 1.3071,
2204
+ "step": 183000
2205
+ },
2206
+ {
2207
+ "epoch": 0.48,
2208
+ "learning_rate": 2.609089369242596e-05,
2209
+ "loss": 1.3201,
2210
+ "step": 183500
2211
+ },
2212
+ {
2213
+ "epoch": 0.48,
2214
+ "learning_rate": 2.602574626379497e-05,
2215
+ "loss": 1.2955,
2216
+ "step": 184000
2217
+ },
2218
+ {
2219
+ "epoch": 0.48,
2220
+ "learning_rate": 2.596059883516398e-05,
2221
+ "loss": 1.3063,
2222
+ "step": 184500
2223
+ },
2224
+ {
2225
+ "epoch": 0.48,
2226
+ "learning_rate": 2.5895451406532984e-05,
2227
+ "loss": 1.3042,
2228
+ "step": 185000
2229
+ },
2230
+ {
2231
+ "epoch": 0.48,
2232
+ "learning_rate": 2.583030397790199e-05,
2233
+ "loss": 1.3157,
2234
+ "step": 185500
2235
+ },
2236
+ {
2237
+ "epoch": 0.48,
2238
+ "learning_rate": 2.5765156549271e-05,
2239
+ "loss": 1.3007,
2240
+ "step": 186000
2241
+ },
2242
+ {
2243
+ "epoch": 0.49,
2244
+ "learning_rate": 2.5700009120640012e-05,
2245
+ "loss": 1.3051,
2246
+ "step": 186500
2247
+ },
2248
+ {
2249
+ "epoch": 0.49,
2250
+ "learning_rate": 2.5634861692009015e-05,
2251
+ "loss": 1.3082,
2252
+ "step": 187000
2253
+ },
2254
+ {
2255
+ "epoch": 0.49,
2256
+ "learning_rate": 2.5569714263378026e-05,
2257
+ "loss": 1.3,
2258
+ "step": 187500
2259
+ },
2260
+ {
2261
+ "epoch": 0.49,
2262
+ "learning_rate": 2.5504566834747036e-05,
2263
+ "loss": 1.3076,
2264
+ "step": 188000
2265
+ },
2266
+ {
2267
+ "epoch": 0.49,
2268
+ "learning_rate": 2.5439419406116043e-05,
2269
+ "loss": 1.3042,
2270
+ "step": 188500
2271
+ },
2272
+ {
2273
+ "epoch": 0.49,
2274
+ "learning_rate": 2.5374271977485046e-05,
2275
+ "loss": 1.3045,
2276
+ "step": 189000
2277
+ },
2278
+ {
2279
+ "epoch": 0.49,
2280
+ "learning_rate": 2.5309124548854057e-05,
2281
+ "loss": 1.306,
2282
+ "step": 189500
2283
+ },
2284
+ {
2285
+ "epoch": 0.5,
2286
+ "learning_rate": 2.5243977120223067e-05,
2287
+ "loss": 1.3041,
2288
+ "step": 190000
2289
+ },
2290
+ {
2291
+ "epoch": 0.5,
2292
+ "learning_rate": 2.5178829691592077e-05,
2293
+ "loss": 1.3057,
2294
+ "step": 190500
2295
+ },
2296
+ {
2297
+ "epoch": 0.5,
2298
+ "learning_rate": 2.511368226296108e-05,
2299
+ "loss": 1.3108,
2300
+ "step": 191000
2301
+ },
2302
+ {
2303
+ "epoch": 0.5,
2304
+ "learning_rate": 2.504853483433009e-05,
2305
+ "loss": 1.3084,
2306
+ "step": 191500
2307
+ },
2308
+ {
2309
+ "epoch": 0.5,
2310
+ "learning_rate": 2.4983387405699098e-05,
2311
+ "loss": 1.3049,
2312
+ "step": 192000
2313
+ },
2314
+ {
2315
+ "epoch": 0.5,
2316
+ "learning_rate": 2.4918239977068105e-05,
2317
+ "loss": 1.3015,
2318
+ "step": 192500
2319
+ },
2320
+ {
2321
+ "epoch": 0.5,
2322
+ "learning_rate": 2.4853092548437115e-05,
2323
+ "loss": 1.3037,
2324
+ "step": 193000
2325
+ },
2326
+ {
2327
+ "epoch": 0.5,
2328
+ "learning_rate": 2.4787945119806122e-05,
2329
+ "loss": 1.3066,
2330
+ "step": 193500
2331
+ },
2332
+ {
2333
+ "epoch": 0.51,
2334
+ "learning_rate": 2.4722797691175133e-05,
2335
+ "loss": 1.3041,
2336
+ "step": 194000
2337
+ },
2338
+ {
2339
+ "epoch": 0.51,
2340
+ "learning_rate": 2.465765026254414e-05,
2341
+ "loss": 1.3004,
2342
+ "step": 194500
2343
+ },
2344
+ {
2345
+ "epoch": 0.51,
2346
+ "learning_rate": 2.4592502833913146e-05,
2347
+ "loss": 1.3052,
2348
+ "step": 195000
2349
+ },
2350
+ {
2351
+ "epoch": 0.51,
2352
+ "learning_rate": 2.4527355405282153e-05,
2353
+ "loss": 1.3044,
2354
+ "step": 195500
2355
+ },
2356
+ {
2357
+ "epoch": 0.51,
2358
+ "learning_rate": 2.4462207976651164e-05,
2359
+ "loss": 1.2971,
2360
+ "step": 196000
2361
+ },
2362
+ {
2363
+ "epoch": 0.51,
2364
+ "learning_rate": 2.439706054802017e-05,
2365
+ "loss": 1.3006,
2366
+ "step": 196500
2367
+ },
2368
+ {
2369
+ "epoch": 0.51,
2370
+ "learning_rate": 2.433191311938918e-05,
2371
+ "loss": 1.3022,
2372
+ "step": 197000
2373
+ },
2374
+ {
2375
+ "epoch": 0.51,
2376
+ "learning_rate": 2.4266765690758188e-05,
2377
+ "loss": 1.3031,
2378
+ "step": 197500
2379
+ },
2380
+ {
2381
+ "epoch": 0.52,
2382
+ "learning_rate": 2.4201618262127195e-05,
2383
+ "loss": 1.3019,
2384
+ "step": 198000
2385
+ },
2386
+ {
2387
+ "epoch": 0.52,
2388
+ "learning_rate": 2.41364708334962e-05,
2389
+ "loss": 1.2947,
2390
+ "step": 198500
2391
+ },
2392
+ {
2393
+ "epoch": 0.52,
2394
+ "learning_rate": 2.4071323404865212e-05,
2395
+ "loss": 1.2943,
2396
+ "step": 199000
2397
+ },
2398
+ {
2399
+ "epoch": 0.52,
2400
+ "learning_rate": 2.400617597623422e-05,
2401
+ "loss": 1.3004,
2402
+ "step": 199500
2403
+ },
2404
+ {
2405
+ "epoch": 0.52,
2406
+ "learning_rate": 2.394102854760323e-05,
2407
+ "loss": 1.2991,
2408
+ "step": 200000
2409
+ },
2410
+ {
2411
+ "epoch": 0.52,
2412
+ "learning_rate": 2.3875881118972236e-05,
2413
+ "loss": 1.2941,
2414
+ "step": 200500
2415
+ },
2416
+ {
2417
+ "epoch": 0.52,
2418
+ "learning_rate": 2.3810733690341243e-05,
2419
+ "loss": 1.3016,
2420
+ "step": 201000
2421
+ },
2422
+ {
2423
+ "epoch": 0.53,
2424
+ "learning_rate": 2.374558626171025e-05,
2425
+ "loss": 1.3067,
2426
+ "step": 201500
2427
+ },
2428
+ {
2429
+ "epoch": 0.53,
2430
+ "learning_rate": 2.368043883307926e-05,
2431
+ "loss": 1.2968,
2432
+ "step": 202000
2433
+ },
2434
+ {
2435
+ "epoch": 0.53,
2436
+ "learning_rate": 2.3615291404448267e-05,
2437
+ "loss": 1.2987,
2438
+ "step": 202500
2439
+ },
2440
+ {
2441
+ "epoch": 0.53,
2442
+ "learning_rate": 2.3550143975817278e-05,
2443
+ "loss": 1.292,
2444
+ "step": 203000
2445
+ },
2446
+ {
2447
+ "epoch": 0.53,
2448
+ "learning_rate": 2.3484996547186284e-05,
2449
+ "loss": 1.3013,
2450
+ "step": 203500
2451
+ },
2452
+ {
2453
+ "epoch": 0.53,
2454
+ "learning_rate": 2.341984911855529e-05,
2455
+ "loss": 1.2993,
2456
+ "step": 204000
2457
+ },
2458
+ {
2459
+ "epoch": 0.53,
2460
+ "learning_rate": 2.33547016899243e-05,
2461
+ "loss": 1.289,
2462
+ "step": 204500
2463
+ },
2464
+ {
2465
+ "epoch": 0.53,
2466
+ "learning_rate": 2.328955426129331e-05,
2467
+ "loss": 1.2991,
2468
+ "step": 205000
2469
+ },
2470
+ {
2471
+ "epoch": 0.54,
2472
+ "learning_rate": 2.3224406832662316e-05,
2473
+ "loss": 1.3004,
2474
+ "step": 205500
2475
+ },
2476
+ {
2477
+ "epoch": 0.54,
2478
+ "learning_rate": 2.3159259404031326e-05,
2479
+ "loss": 1.3011,
2480
+ "step": 206000
2481
+ },
2482
+ {
2483
+ "epoch": 0.54,
2484
+ "learning_rate": 2.3094111975400333e-05,
2485
+ "loss": 1.3007,
2486
+ "step": 206500
2487
+ },
2488
+ {
2489
+ "epoch": 0.54,
2490
+ "learning_rate": 2.302896454676934e-05,
2491
+ "loss": 1.292,
2492
+ "step": 207000
2493
+ },
2494
+ {
2495
+ "epoch": 0.54,
2496
+ "learning_rate": 2.2963817118138347e-05,
2497
+ "loss": 1.2954,
2498
+ "step": 207500
2499
+ },
2500
+ {
2501
+ "epoch": 0.54,
2502
+ "learning_rate": 2.2898669689507357e-05,
2503
+ "loss": 1.2993,
2504
+ "step": 208000
2505
+ },
2506
+ {
2507
+ "epoch": 0.54,
2508
+ "learning_rate": 2.2833522260876364e-05,
2509
+ "loss": 1.2923,
2510
+ "step": 208500
2511
+ },
2512
+ {
2513
+ "epoch": 0.54,
2514
+ "learning_rate": 2.2768374832245374e-05,
2515
+ "loss": 1.2959,
2516
+ "step": 209000
2517
+ },
2518
+ {
2519
+ "epoch": 0.55,
2520
+ "learning_rate": 2.270322740361438e-05,
2521
+ "loss": 1.2818,
2522
+ "step": 209500
2523
+ },
2524
+ {
2525
+ "epoch": 0.55,
2526
+ "learning_rate": 2.2638079974983388e-05,
2527
+ "loss": 1.2905,
2528
+ "step": 210000
2529
+ },
2530
+ {
2531
+ "epoch": 0.55,
2532
+ "learning_rate": 2.2572932546352395e-05,
2533
+ "loss": 1.295,
2534
+ "step": 210500
2535
+ },
2536
+ {
2537
+ "epoch": 0.55,
2538
+ "learning_rate": 2.2507785117721405e-05,
2539
+ "loss": 1.2953,
2540
+ "step": 211000
2541
+ },
2542
+ {
2543
+ "epoch": 0.55,
2544
+ "learning_rate": 2.2442637689090412e-05,
2545
+ "loss": 1.2963,
2546
+ "step": 211500
2547
+ },
2548
+ {
2549
+ "epoch": 0.55,
2550
+ "learning_rate": 2.2377490260459422e-05,
2551
+ "loss": 1.2898,
2552
+ "step": 212000
2553
+ },
2554
+ {
2555
+ "epoch": 0.55,
2556
+ "learning_rate": 2.231234283182843e-05,
2557
+ "loss": 1.2868,
2558
+ "step": 212500
2559
+ },
2560
+ {
2561
+ "epoch": 0.56,
2562
+ "learning_rate": 2.2247195403197436e-05,
2563
+ "loss": 1.2888,
2564
+ "step": 213000
2565
+ },
2566
+ {
2567
+ "epoch": 0.56,
2568
+ "learning_rate": 2.2182047974566443e-05,
2569
+ "loss": 1.2844,
2570
+ "step": 213500
2571
+ },
2572
+ {
2573
+ "epoch": 0.56,
2574
+ "learning_rate": 2.2116900545935454e-05,
2575
+ "loss": 1.2876,
2576
+ "step": 214000
2577
+ },
2578
+ {
2579
+ "epoch": 0.56,
2580
+ "learning_rate": 2.205175311730446e-05,
2581
+ "loss": 1.2836,
2582
+ "step": 214500
2583
+ },
2584
+ {
2585
+ "epoch": 0.56,
2586
+ "learning_rate": 2.198660568867347e-05,
2587
+ "loss": 1.291,
2588
+ "step": 215000
2589
+ },
2590
+ {
2591
+ "epoch": 0.56,
2592
+ "learning_rate": 2.1921458260042478e-05,
2593
+ "loss": 1.2887,
2594
+ "step": 215500
2595
+ },
2596
+ {
2597
+ "epoch": 0.56,
2598
+ "learning_rate": 2.1856310831411485e-05,
2599
+ "loss": 1.2891,
2600
+ "step": 216000
2601
+ },
2602
+ {
2603
+ "epoch": 0.56,
2604
+ "learning_rate": 2.179116340278049e-05,
2605
+ "loss": 1.2859,
2606
+ "step": 216500
2607
+ },
2608
+ {
2609
+ "epoch": 0.57,
2610
+ "learning_rate": 2.1726015974149502e-05,
2611
+ "loss": 1.2833,
2612
+ "step": 217000
2613
+ },
2614
+ {
2615
+ "epoch": 0.57,
2616
+ "learning_rate": 2.166086854551851e-05,
2617
+ "loss": 1.2901,
2618
+ "step": 217500
2619
+ },
2620
+ {
2621
+ "epoch": 0.57,
2622
+ "learning_rate": 2.159572111688752e-05,
2623
+ "loss": 1.2928,
2624
+ "step": 218000
2625
+ },
2626
+ {
2627
+ "epoch": 0.57,
2628
+ "learning_rate": 2.1530573688256526e-05,
2629
+ "loss": 1.2991,
2630
+ "step": 218500
2631
+ },
2632
+ {
2633
+ "epoch": 0.57,
2634
+ "learning_rate": 2.1465426259625533e-05,
2635
+ "loss": 1.2895,
2636
+ "step": 219000
2637
+ },
2638
+ {
2639
+ "epoch": 0.57,
2640
+ "learning_rate": 2.140027883099454e-05,
2641
+ "loss": 1.2908,
2642
+ "step": 219500
2643
+ },
2644
+ {
2645
+ "epoch": 0.57,
2646
+ "learning_rate": 2.133513140236355e-05,
2647
+ "loss": 1.2973,
2648
+ "step": 220000
2649
+ },
2650
+ {
2651
+ "epoch": 0.57,
2652
+ "learning_rate": 2.1269983973732557e-05,
2653
+ "loss": 1.2887,
2654
+ "step": 220500
2655
+ },
2656
+ {
2657
+ "epoch": 0.58,
2658
+ "learning_rate": 2.1204836545101567e-05,
2659
+ "loss": 1.2807,
2660
+ "step": 221000
2661
+ },
2662
+ {
2663
+ "epoch": 0.58,
2664
+ "learning_rate": 2.1139689116470574e-05,
2665
+ "loss": 1.2805,
2666
+ "step": 221500
2667
+ },
2668
+ {
2669
+ "epoch": 0.58,
2670
+ "learning_rate": 2.107454168783958e-05,
2671
+ "loss": 1.2887,
2672
+ "step": 222000
2673
+ },
2674
+ {
2675
+ "epoch": 0.58,
2676
+ "learning_rate": 2.1009394259208588e-05,
2677
+ "loss": 1.2902,
2678
+ "step": 222500
2679
+ },
2680
+ {
2681
+ "epoch": 0.58,
2682
+ "learning_rate": 2.09442468305776e-05,
2683
+ "loss": 1.2915,
2684
+ "step": 223000
2685
+ },
2686
+ {
2687
+ "epoch": 0.58,
2688
+ "learning_rate": 2.0879099401946605e-05,
2689
+ "loss": 1.2829,
2690
+ "step": 223500
2691
+ },
2692
+ {
2693
+ "epoch": 0.58,
2694
+ "learning_rate": 2.0813951973315616e-05,
2695
+ "loss": 1.2915,
2696
+ "step": 224000
2697
+ },
2698
+ {
2699
+ "epoch": 0.59,
2700
+ "learning_rate": 2.0748804544684623e-05,
2701
+ "loss": 1.286,
2702
+ "step": 224500
2703
+ },
2704
+ {
2705
+ "epoch": 0.59,
2706
+ "learning_rate": 2.0683657116053633e-05,
2707
+ "loss": 1.2893,
2708
+ "step": 225000
2709
+ },
2710
+ {
2711
+ "epoch": 0.59,
2712
+ "learning_rate": 2.0618509687422637e-05,
2713
+ "loss": 1.2825,
2714
+ "step": 225500
2715
+ },
2716
+ {
2717
+ "epoch": 0.59,
2718
+ "learning_rate": 2.0553362258791647e-05,
2719
+ "loss": 1.2829,
2720
+ "step": 226000
2721
+ },
2722
+ {
2723
+ "epoch": 0.59,
2724
+ "learning_rate": 2.0488214830160654e-05,
2725
+ "loss": 1.2924,
2726
+ "step": 226500
2727
+ },
2728
+ {
2729
+ "epoch": 0.59,
2730
+ "learning_rate": 2.0423067401529664e-05,
2731
+ "loss": 1.2794,
2732
+ "step": 227000
2733
+ },
2734
+ {
2735
+ "epoch": 0.59,
2736
+ "learning_rate": 2.035791997289867e-05,
2737
+ "loss": 1.2912,
2738
+ "step": 227500
2739
+ },
2740
+ {
2741
+ "epoch": 0.59,
2742
+ "learning_rate": 2.029277254426768e-05,
2743
+ "loss": 1.2656,
2744
+ "step": 228000
2745
+ },
2746
+ {
2747
+ "epoch": 0.6,
2748
+ "learning_rate": 2.0227625115636685e-05,
2749
+ "loss": 1.2763,
2750
+ "step": 228500
2751
+ },
2752
+ {
2753
+ "epoch": 0.6,
2754
+ "learning_rate": 2.0162477687005695e-05,
2755
+ "loss": 1.2925,
2756
+ "step": 229000
2757
+ },
2758
+ {
2759
+ "epoch": 0.6,
2760
+ "learning_rate": 2.0097330258374702e-05,
2761
+ "loss": 1.28,
2762
+ "step": 229500
2763
+ },
2764
+ {
2765
+ "epoch": 0.6,
2766
+ "learning_rate": 2.0032182829743712e-05,
2767
+ "loss": 1.2827,
2768
+ "step": 230000
2769
+ },
2770
+ {
2771
+ "epoch": 0.6,
2772
+ "learning_rate": 1.996703540111272e-05,
2773
+ "loss": 1.2835,
2774
+ "step": 230500
2775
+ },
2776
+ {
2777
+ "epoch": 0.6,
2778
+ "learning_rate": 1.990188797248173e-05,
2779
+ "loss": 1.2814,
2780
+ "step": 231000
2781
+ },
2782
+ {
2783
+ "epoch": 0.6,
2784
+ "learning_rate": 1.9836740543850733e-05,
2785
+ "loss": 1.2853,
2786
+ "step": 231500
2787
+ },
2788
+ {
2789
+ "epoch": 0.6,
2790
+ "learning_rate": 1.9771593115219743e-05,
2791
+ "loss": 1.2748,
2792
+ "step": 232000
2793
+ },
2794
+ {
2795
+ "epoch": 0.61,
2796
+ "learning_rate": 1.970644568658875e-05,
2797
+ "loss": 1.2812,
2798
+ "step": 232500
2799
+ },
2800
+ {
2801
+ "epoch": 0.61,
2802
+ "learning_rate": 1.964129825795776e-05,
2803
+ "loss": 1.284,
2804
+ "step": 233000
2805
+ },
2806
+ {
2807
+ "epoch": 0.61,
2808
+ "learning_rate": 1.9576150829326768e-05,
2809
+ "loss": 1.2796,
2810
+ "step": 233500
2811
+ },
2812
+ {
2813
+ "epoch": 0.61,
2814
+ "learning_rate": 1.9511003400695778e-05,
2815
+ "loss": 1.2759,
2816
+ "step": 234000
2817
+ },
2818
+ {
2819
+ "epoch": 0.61,
2820
+ "learning_rate": 1.944585597206478e-05,
2821
+ "loss": 1.285,
2822
+ "step": 234500
2823
+ },
2824
+ {
2825
+ "epoch": 0.61,
2826
+ "learning_rate": 1.9380708543433792e-05,
2827
+ "loss": 1.2847,
2828
+ "step": 235000
2829
+ },
2830
+ {
2831
+ "epoch": 0.61,
2832
+ "learning_rate": 1.93155611148028e-05,
2833
+ "loss": 1.2795,
2834
+ "step": 235500
2835
+ },
2836
+ {
2837
+ "epoch": 0.61,
2838
+ "learning_rate": 1.925041368617181e-05,
2839
+ "loss": 1.2723,
2840
+ "step": 236000
2841
+ },
2842
+ {
2843
+ "epoch": 0.62,
2844
+ "learning_rate": 1.9185266257540816e-05,
2845
+ "loss": 1.2786,
2846
+ "step": 236500
2847
+ },
2848
+ {
2849
+ "epoch": 0.62,
2850
+ "learning_rate": 1.9120118828909826e-05,
2851
+ "loss": 1.272,
2852
+ "step": 237000
2853
+ },
2854
+ {
2855
+ "epoch": 0.62,
2856
+ "learning_rate": 1.9054971400278833e-05,
2857
+ "loss": 1.2739,
2858
+ "step": 237500
2859
+ },
2860
+ {
2861
+ "epoch": 0.62,
2862
+ "learning_rate": 1.898982397164784e-05,
2863
+ "loss": 1.2694,
2864
+ "step": 238000
2865
+ },
2866
+ {
2867
+ "epoch": 0.62,
2868
+ "learning_rate": 1.8924676543016847e-05,
2869
+ "loss": 1.2819,
2870
+ "step": 238500
2871
+ },
2872
+ {
2873
+ "epoch": 0.62,
2874
+ "learning_rate": 1.8859529114385857e-05,
2875
+ "loss": 1.2792,
2876
+ "step": 239000
2877
+ },
2878
+ {
2879
+ "epoch": 0.62,
2880
+ "learning_rate": 1.8794381685754864e-05,
2881
+ "loss": 1.2849,
2882
+ "step": 239500
2883
+ },
2884
+ {
2885
+ "epoch": 0.63,
2886
+ "learning_rate": 1.8729234257123875e-05,
2887
+ "loss": 1.2889,
2888
+ "step": 240000
2889
+ },
2890
+ {
2891
+ "epoch": 0.63,
2892
+ "learning_rate": 1.866408682849288e-05,
2893
+ "loss": 1.274,
2894
+ "step": 240500
2895
+ },
2896
+ {
2897
+ "epoch": 0.63,
2898
+ "learning_rate": 1.859893939986189e-05,
2899
+ "loss": 1.2778,
2900
+ "step": 241000
2901
+ },
2902
+ {
2903
+ "epoch": 0.63,
2904
+ "learning_rate": 1.8533791971230895e-05,
2905
+ "loss": 1.2751,
2906
+ "step": 241500
2907
+ },
2908
+ {
2909
+ "epoch": 0.63,
2910
+ "learning_rate": 1.8468644542599906e-05,
2911
+ "loss": 1.2791,
2912
+ "step": 242000
2913
+ },
2914
+ {
2915
+ "epoch": 0.63,
2916
+ "learning_rate": 1.8403497113968913e-05,
2917
+ "loss": 1.2803,
2918
+ "step": 242500
2919
+ },
2920
+ {
2921
+ "epoch": 0.63,
2922
+ "learning_rate": 1.8338349685337923e-05,
2923
+ "loss": 1.2785,
2924
+ "step": 243000
2925
+ },
2926
+ {
2927
+ "epoch": 0.63,
2928
+ "learning_rate": 1.827320225670693e-05,
2929
+ "loss": 1.272,
2930
+ "step": 243500
2931
+ },
2932
+ {
2933
+ "epoch": 0.64,
2934
+ "learning_rate": 1.8208054828075937e-05,
2935
+ "loss": 1.267,
2936
+ "step": 244000
2937
+ },
2938
+ {
2939
+ "epoch": 0.64,
2940
+ "learning_rate": 1.8142907399444944e-05,
2941
+ "loss": 1.2723,
2942
+ "step": 244500
2943
+ },
2944
+ {
2945
+ "epoch": 0.64,
2946
+ "learning_rate": 1.8077759970813954e-05,
2947
+ "loss": 1.2766,
2948
+ "step": 245000
2949
+ },
2950
+ {
2951
+ "epoch": 0.64,
2952
+ "learning_rate": 1.801261254218296e-05,
2953
+ "loss": 1.2756,
2954
+ "step": 245500
2955
+ },
2956
+ {
2957
+ "epoch": 0.64,
2958
+ "learning_rate": 1.794746511355197e-05,
2959
+ "loss": 1.275,
2960
+ "step": 246000
2961
+ },
2962
+ {
2963
+ "epoch": 0.64,
2964
+ "learning_rate": 1.7882317684920978e-05,
2965
+ "loss": 1.2775,
2966
+ "step": 246500
2967
+ },
2968
+ {
2969
+ "epoch": 0.64,
2970
+ "learning_rate": 1.7817170256289985e-05,
2971
+ "loss": 1.2707,
2972
+ "step": 247000
2973
+ },
2974
+ {
2975
+ "epoch": 0.64,
2976
+ "learning_rate": 1.7752022827658992e-05,
2977
+ "loss": 1.273,
2978
+ "step": 247500
2979
+ },
2980
+ {
2981
+ "epoch": 0.65,
2982
+ "learning_rate": 1.7686875399028002e-05,
2983
+ "loss": 1.2714,
2984
+ "step": 248000
2985
+ },
2986
+ {
2987
+ "epoch": 0.65,
2988
+ "learning_rate": 1.762172797039701e-05,
2989
+ "loss": 1.2758,
2990
+ "step": 248500
2991
+ },
2992
+ {
2993
+ "epoch": 0.65,
2994
+ "learning_rate": 1.755658054176602e-05,
2995
+ "loss": 1.2756,
2996
+ "step": 249000
2997
+ },
2998
+ {
2999
+ "epoch": 0.65,
3000
+ "learning_rate": 1.7491433113135026e-05,
3001
+ "loss": 1.2762,
3002
+ "step": 249500
3003
+ },
3004
+ {
3005
+ "epoch": 0.65,
3006
+ "learning_rate": 1.7426285684504033e-05,
3007
+ "loss": 1.2763,
3008
+ "step": 250000
3009
+ },
3010
+ {
3011
+ "epoch": 0.65,
3012
+ "learning_rate": 1.736113825587304e-05,
3013
+ "loss": 1.2766,
3014
+ "step": 250500
3015
+ },
3016
+ {
3017
+ "epoch": 0.65,
3018
+ "learning_rate": 1.729599082724205e-05,
3019
+ "loss": 1.2707,
3020
+ "step": 251000
3021
+ },
3022
+ {
3023
+ "epoch": 0.66,
3024
+ "learning_rate": 1.7230843398611058e-05,
3025
+ "loss": 1.2719,
3026
+ "step": 251500
3027
+ },
3028
+ {
3029
+ "epoch": 0.66,
3030
+ "learning_rate": 1.7165695969980068e-05,
3031
+ "loss": 1.2686,
3032
+ "step": 252000
3033
+ },
3034
+ {
3035
+ "epoch": 0.66,
3036
+ "learning_rate": 1.7100548541349075e-05,
3037
+ "loss": 1.2693,
3038
+ "step": 252500
3039
+ },
3040
+ {
3041
+ "epoch": 0.66,
3042
+ "learning_rate": 1.7035401112718082e-05,
3043
+ "loss": 1.2699,
3044
+ "step": 253000
3045
+ },
3046
+ {
3047
+ "epoch": 0.66,
3048
+ "learning_rate": 1.697025368408709e-05,
3049
+ "loss": 1.2696,
3050
+ "step": 253500
3051
+ },
3052
+ {
3053
+ "epoch": 0.66,
3054
+ "learning_rate": 1.69051062554561e-05,
3055
+ "loss": 1.2693,
3056
+ "step": 254000
3057
+ },
3058
+ {
3059
+ "epoch": 0.66,
3060
+ "learning_rate": 1.6839958826825106e-05,
3061
+ "loss": 1.2666,
3062
+ "step": 254500
3063
+ },
3064
+ {
3065
+ "epoch": 0.66,
3066
+ "learning_rate": 1.6774811398194116e-05,
3067
+ "loss": 1.2697,
3068
+ "step": 255000
3069
+ },
3070
+ {
3071
+ "epoch": 0.67,
3072
+ "learning_rate": 1.6709663969563123e-05,
3073
+ "loss": 1.2691,
3074
+ "step": 255500
3075
+ },
3076
+ {
3077
+ "epoch": 0.67,
3078
+ "learning_rate": 1.664451654093213e-05,
3079
+ "loss": 1.2669,
3080
+ "step": 256000
3081
+ },
3082
+ {
3083
+ "epoch": 0.67,
3084
+ "learning_rate": 1.6579369112301137e-05,
3085
+ "loss": 1.2663,
3086
+ "step": 256500
3087
+ },
3088
+ {
3089
+ "epoch": 0.67,
3090
+ "learning_rate": 1.6514221683670147e-05,
3091
+ "loss": 1.2694,
3092
+ "step": 257000
3093
+ },
3094
+ {
3095
+ "epoch": 0.67,
3096
+ "learning_rate": 1.6449074255039154e-05,
3097
+ "loss": 1.2706,
3098
+ "step": 257500
3099
+ },
3100
+ {
3101
+ "epoch": 0.67,
3102
+ "learning_rate": 1.6383926826408164e-05,
3103
+ "loss": 1.2704,
3104
+ "step": 258000
3105
+ },
3106
+ {
3107
+ "epoch": 0.67,
3108
+ "learning_rate": 1.631877939777717e-05,
3109
+ "loss": 1.258,
3110
+ "step": 258500
3111
+ },
3112
+ {
3113
+ "epoch": 0.67,
3114
+ "learning_rate": 1.625363196914618e-05,
3115
+ "loss": 1.2664,
3116
+ "step": 259000
3117
+ },
3118
+ {
3119
+ "epoch": 0.68,
3120
+ "learning_rate": 1.6188484540515185e-05,
3121
+ "loss": 1.2659,
3122
+ "step": 259500
3123
+ },
3124
+ {
3125
+ "epoch": 0.68,
3126
+ "learning_rate": 1.6123337111884196e-05,
3127
+ "loss": 1.2677,
3128
+ "step": 260000
3129
+ },
3130
+ {
3131
+ "epoch": 0.68,
3132
+ "learning_rate": 1.6058189683253202e-05,
3133
+ "loss": 1.2664,
3134
+ "step": 260500
3135
+ },
3136
+ {
3137
+ "epoch": 0.68,
3138
+ "learning_rate": 1.5993042254622213e-05,
3139
+ "loss": 1.2661,
3140
+ "step": 261000
3141
+ },
3142
+ {
3143
+ "epoch": 0.68,
3144
+ "learning_rate": 1.592789482599122e-05,
3145
+ "loss": 1.267,
3146
+ "step": 261500
3147
+ },
3148
+ {
3149
+ "epoch": 0.68,
3150
+ "learning_rate": 1.5862747397360227e-05,
3151
+ "loss": 1.2642,
3152
+ "step": 262000
3153
+ },
3154
+ {
3155
+ "epoch": 0.68,
3156
+ "learning_rate": 1.5797599968729234e-05,
3157
+ "loss": 1.2681,
3158
+ "step": 262500
3159
+ },
3160
+ {
3161
+ "epoch": 0.69,
3162
+ "learning_rate": 1.5732452540098244e-05,
3163
+ "loss": 1.2618,
3164
+ "step": 263000
3165
+ },
3166
+ {
3167
+ "epoch": 0.69,
3168
+ "learning_rate": 1.566730511146725e-05,
3169
+ "loss": 1.2658,
3170
+ "step": 263500
3171
+ },
3172
+ {
3173
+ "epoch": 0.69,
3174
+ "learning_rate": 1.560215768283626e-05,
3175
+ "loss": 1.264,
3176
+ "step": 264000
3177
+ },
3178
+ {
3179
+ "epoch": 0.69,
3180
+ "learning_rate": 1.5537010254205268e-05,
3181
+ "loss": 1.2676,
3182
+ "step": 264500
3183
+ },
3184
+ {
3185
+ "epoch": 0.69,
3186
+ "learning_rate": 1.5471862825574275e-05,
3187
+ "loss": 1.2665,
3188
+ "step": 265000
3189
+ },
3190
+ {
3191
+ "epoch": 0.69,
3192
+ "learning_rate": 1.5406715396943282e-05,
3193
+ "loss": 1.2559,
3194
+ "step": 265500
3195
+ },
3196
+ {
3197
+ "epoch": 0.69,
3198
+ "learning_rate": 1.5341567968312292e-05,
3199
+ "loss": 1.266,
3200
+ "step": 266000
3201
+ },
3202
+ {
3203
+ "epoch": 0.69,
3204
+ "learning_rate": 1.52764205396813e-05,
3205
+ "loss": 1.2616,
3206
+ "step": 266500
3207
+ },
3208
+ {
3209
+ "epoch": 0.7,
3210
+ "learning_rate": 1.521127311105031e-05,
3211
+ "loss": 1.2641,
3212
+ "step": 267000
3213
+ },
3214
+ {
3215
+ "epoch": 0.7,
3216
+ "learning_rate": 1.5146125682419315e-05,
3217
+ "loss": 1.2645,
3218
+ "step": 267500
3219
+ },
3220
+ {
3221
+ "epoch": 0.7,
3222
+ "learning_rate": 1.5080978253788325e-05,
3223
+ "loss": 1.2654,
3224
+ "step": 268000
3225
+ },
3226
+ {
3227
+ "epoch": 0.7,
3228
+ "learning_rate": 1.5015830825157332e-05,
3229
+ "loss": 1.2604,
3230
+ "step": 268500
3231
+ },
3232
+ {
3233
+ "epoch": 0.7,
3234
+ "learning_rate": 1.495068339652634e-05,
3235
+ "loss": 1.2601,
3236
+ "step": 269000
3237
+ },
3238
+ {
3239
+ "epoch": 0.7,
3240
+ "learning_rate": 1.4885535967895347e-05,
3241
+ "loss": 1.2642,
3242
+ "step": 269500
3243
+ },
3244
+ {
3245
+ "epoch": 0.7,
3246
+ "learning_rate": 1.4820388539264358e-05,
3247
+ "loss": 1.2579,
3248
+ "step": 270000
3249
+ },
3250
+ {
3251
+ "epoch": 0.7,
3252
+ "learning_rate": 1.4755241110633363e-05,
3253
+ "loss": 1.2642,
3254
+ "step": 270500
3255
+ },
3256
+ {
3257
+ "epoch": 0.71,
3258
+ "learning_rate": 1.4690093682002373e-05,
3259
+ "loss": 1.2728,
3260
+ "step": 271000
3261
+ },
3262
+ {
3263
+ "epoch": 0.71,
3264
+ "learning_rate": 1.462494625337138e-05,
3265
+ "loss": 1.265,
3266
+ "step": 271500
3267
+ },
3268
+ {
3269
+ "epoch": 0.71,
3270
+ "learning_rate": 1.4559798824740389e-05,
3271
+ "loss": 1.2657,
3272
+ "step": 272000
3273
+ },
3274
+ {
3275
+ "epoch": 0.71,
3276
+ "learning_rate": 1.4494651396109396e-05,
3277
+ "loss": 1.2748,
3278
+ "step": 272500
3279
+ },
3280
+ {
3281
+ "epoch": 0.71,
3282
+ "learning_rate": 1.4429503967478406e-05,
3283
+ "loss": 1.2682,
3284
+ "step": 273000
3285
+ },
3286
+ {
3287
+ "epoch": 0.71,
3288
+ "learning_rate": 1.4364356538847413e-05,
3289
+ "loss": 1.2628,
3290
+ "step": 273500
3291
+ },
3292
+ {
3293
+ "epoch": 0.71,
3294
+ "learning_rate": 1.4299209110216422e-05,
3295
+ "loss": 1.2729,
3296
+ "step": 274000
3297
+ },
3298
+ {
3299
+ "epoch": 0.72,
3300
+ "learning_rate": 1.4234061681585429e-05,
3301
+ "loss": 1.2698,
3302
+ "step": 274500
3303
+ },
3304
+ {
3305
+ "epoch": 0.72,
3306
+ "learning_rate": 1.4168914252954437e-05,
3307
+ "loss": 1.263,
3308
+ "step": 275000
3309
+ },
3310
+ {
3311
+ "epoch": 0.72,
3312
+ "learning_rate": 1.4103766824323444e-05,
3313
+ "loss": 1.2563,
3314
+ "step": 275500
3315
+ },
3316
+ {
3317
+ "epoch": 0.72,
3318
+ "learning_rate": 1.4038619395692454e-05,
3319
+ "loss": 1.2606,
3320
+ "step": 276000
3321
+ },
3322
+ {
3323
+ "epoch": 0.72,
3324
+ "learning_rate": 1.3973471967061461e-05,
3325
+ "loss": 1.2605,
3326
+ "step": 276500
3327
+ },
3328
+ {
3329
+ "epoch": 0.72,
3330
+ "learning_rate": 1.390832453843047e-05,
3331
+ "loss": 1.2604,
3332
+ "step": 277000
3333
+ },
3334
+ {
3335
+ "epoch": 0.72,
3336
+ "learning_rate": 1.3843177109799477e-05,
3337
+ "loss": 1.2627,
3338
+ "step": 277500
3339
+ },
3340
+ {
3341
+ "epoch": 0.72,
3342
+ "learning_rate": 1.3778029681168485e-05,
3343
+ "loss": 1.2586,
3344
+ "step": 278000
3345
+ },
3346
+ {
3347
+ "epoch": 0.73,
3348
+ "learning_rate": 1.3712882252537492e-05,
3349
+ "loss": 1.2617,
3350
+ "step": 278500
3351
+ },
3352
+ {
3353
+ "epoch": 0.73,
3354
+ "learning_rate": 1.3647734823906503e-05,
3355
+ "loss": 1.2648,
3356
+ "step": 279000
3357
+ },
3358
+ {
3359
+ "epoch": 0.73,
3360
+ "learning_rate": 1.358258739527551e-05,
3361
+ "loss": 1.2552,
3362
+ "step": 279500
3363
+ },
3364
+ {
3365
+ "epoch": 0.73,
3366
+ "learning_rate": 1.3517439966644518e-05,
3367
+ "loss": 1.2602,
3368
+ "step": 280000
3369
+ },
3370
+ {
3371
+ "epoch": 0.73,
3372
+ "learning_rate": 1.3452292538013525e-05,
3373
+ "loss": 1.2603,
3374
+ "step": 280500
3375
+ },
3376
+ {
3377
+ "epoch": 0.73,
3378
+ "learning_rate": 1.3387145109382534e-05,
3379
+ "loss": 1.2644,
3380
+ "step": 281000
3381
+ },
3382
+ {
3383
+ "epoch": 0.73,
3384
+ "learning_rate": 1.332199768075154e-05,
3385
+ "loss": 1.2553,
3386
+ "step": 281500
3387
+ },
3388
+ {
3389
+ "epoch": 0.73,
3390
+ "learning_rate": 1.3256850252120551e-05,
3391
+ "loss": 1.2513,
3392
+ "step": 282000
3393
+ },
3394
+ {
3395
+ "epoch": 0.74,
3396
+ "learning_rate": 1.3191702823489558e-05,
3397
+ "loss": 1.2441,
3398
+ "step": 282500
3399
+ },
3400
+ {
3401
+ "epoch": 0.74,
3402
+ "learning_rate": 1.3126555394858567e-05,
3403
+ "loss": 1.2602,
3404
+ "step": 283000
3405
+ },
3406
+ {
3407
+ "epoch": 0.74,
3408
+ "learning_rate": 1.3061407966227573e-05,
3409
+ "loss": 1.2647,
3410
+ "step": 283500
3411
+ },
3412
+ {
3413
+ "epoch": 0.74,
3414
+ "learning_rate": 1.2996260537596582e-05,
3415
+ "loss": 1.258,
3416
+ "step": 284000
3417
+ },
3418
+ {
3419
+ "epoch": 0.74,
3420
+ "learning_rate": 1.2931113108965589e-05,
3421
+ "loss": 1.2548,
3422
+ "step": 284500
3423
+ },
3424
+ {
3425
+ "epoch": 0.74,
3426
+ "learning_rate": 1.28659656803346e-05,
3427
+ "loss": 1.2598,
3428
+ "step": 285000
3429
+ },
3430
+ {
3431
+ "epoch": 0.74,
3432
+ "learning_rate": 1.2800818251703606e-05,
3433
+ "loss": 1.2573,
3434
+ "step": 285500
3435
+ },
3436
+ {
3437
+ "epoch": 0.75,
3438
+ "learning_rate": 1.2735670823072615e-05,
3439
+ "loss": 1.2622,
3440
+ "step": 286000
3441
+ },
3442
+ {
3443
+ "epoch": 0.75,
3444
+ "learning_rate": 1.2670523394441622e-05,
3445
+ "loss": 1.2579,
3446
+ "step": 286500
3447
+ },
3448
+ {
3449
+ "epoch": 0.75,
3450
+ "learning_rate": 1.2605375965810632e-05,
3451
+ "loss": 1.2516,
3452
+ "step": 287000
3453
+ },
3454
+ {
3455
+ "epoch": 0.75,
3456
+ "learning_rate": 1.2540228537179637e-05,
3457
+ "loss": 1.2547,
3458
+ "step": 287500
3459
+ },
3460
+ {
3461
+ "epoch": 0.75,
3462
+ "learning_rate": 1.2475081108548646e-05,
3463
+ "loss": 1.2576,
3464
+ "step": 288000
3465
+ },
3466
+ {
3467
+ "epoch": 0.75,
3468
+ "learning_rate": 1.2409933679917655e-05,
3469
+ "loss": 1.2495,
3470
+ "step": 288500
3471
+ },
3472
+ {
3473
+ "epoch": 0.75,
3474
+ "learning_rate": 1.2344786251286662e-05,
3475
+ "loss": 1.2578,
3476
+ "step": 289000
3477
+ },
3478
+ {
3479
+ "epoch": 0.75,
3480
+ "learning_rate": 1.227963882265567e-05,
3481
+ "loss": 1.2646,
3482
+ "step": 289500
3483
+ },
3484
+ {
3485
+ "epoch": 0.76,
3486
+ "learning_rate": 1.2214491394024679e-05,
3487
+ "loss": 1.2638,
3488
+ "step": 290000
3489
+ },
3490
+ {
3491
+ "epoch": 0.76,
3492
+ "learning_rate": 1.2149343965393686e-05,
3493
+ "loss": 1.2554,
3494
+ "step": 290500
3495
+ },
3496
+ {
3497
+ "epoch": 0.76,
3498
+ "learning_rate": 1.2084196536762694e-05,
3499
+ "loss": 1.2501,
3500
+ "step": 291000
3501
+ },
3502
+ {
3503
+ "epoch": 0.76,
3504
+ "learning_rate": 1.2019049108131703e-05,
3505
+ "loss": 1.2508,
3506
+ "step": 291500
3507
+ },
3508
+ {
3509
+ "epoch": 0.76,
3510
+ "learning_rate": 1.195390167950071e-05,
3511
+ "loss": 1.2557,
3512
+ "step": 292000
3513
+ },
3514
+ {
3515
+ "epoch": 0.76,
3516
+ "learning_rate": 1.1888754250869718e-05,
3517
+ "loss": 1.2434,
3518
+ "step": 292500
3519
+ },
3520
+ {
3521
+ "epoch": 0.76,
3522
+ "learning_rate": 1.1823606822238727e-05,
3523
+ "loss": 1.2519,
3524
+ "step": 293000
3525
+ },
3526
+ {
3527
+ "epoch": 0.76,
3528
+ "learning_rate": 1.1758459393607734e-05,
3529
+ "loss": 1.2475,
3530
+ "step": 293500
3531
+ },
3532
+ {
3533
+ "epoch": 0.77,
3534
+ "learning_rate": 1.1693311964976743e-05,
3535
+ "loss": 1.2479,
3536
+ "step": 294000
3537
+ },
3538
+ {
3539
+ "epoch": 0.77,
3540
+ "learning_rate": 1.1628164536345751e-05,
3541
+ "loss": 1.2572,
3542
+ "step": 294500
3543
+ },
3544
+ {
3545
+ "epoch": 0.77,
3546
+ "learning_rate": 1.1563017107714758e-05,
3547
+ "loss": 1.2527,
3548
+ "step": 295000
3549
+ },
3550
+ {
3551
+ "epoch": 0.77,
3552
+ "learning_rate": 1.1497869679083767e-05,
3553
+ "loss": 1.2505,
3554
+ "step": 295500
3555
+ },
3556
+ {
3557
+ "epoch": 0.77,
3558
+ "learning_rate": 1.1432722250452775e-05,
3559
+ "loss": 1.2472,
3560
+ "step": 296000
3561
+ },
3562
+ {
3563
+ "epoch": 0.77,
3564
+ "learning_rate": 1.1367574821821782e-05,
3565
+ "loss": 1.2524,
3566
+ "step": 296500
3567
+ },
3568
+ {
3569
+ "epoch": 0.77,
3570
+ "learning_rate": 1.1302427393190791e-05,
3571
+ "loss": 1.2548,
3572
+ "step": 297000
3573
+ },
3574
+ {
3575
+ "epoch": 0.78,
3576
+ "learning_rate": 1.12372799645598e-05,
3577
+ "loss": 1.2437,
3578
+ "step": 297500
3579
+ },
3580
+ {
3581
+ "epoch": 0.78,
3582
+ "learning_rate": 1.1172132535928808e-05,
3583
+ "loss": 1.2503,
3584
+ "step": 298000
3585
+ },
3586
+ {
3587
+ "epoch": 0.78,
3588
+ "learning_rate": 1.1106985107297815e-05,
3589
+ "loss": 1.259,
3590
+ "step": 298500
3591
+ },
3592
+ {
3593
+ "epoch": 0.78,
3594
+ "learning_rate": 1.1041837678666824e-05,
3595
+ "loss": 1.2518,
3596
+ "step": 299000
3597
+ },
3598
+ {
3599
+ "epoch": 0.78,
3600
+ "learning_rate": 1.0976690250035832e-05,
3601
+ "loss": 1.2511,
3602
+ "step": 299500
3603
+ },
3604
+ {
3605
+ "epoch": 0.78,
3606
+ "learning_rate": 1.091154282140484e-05,
3607
+ "loss": 1.2536,
3608
+ "step": 300000
3609
+ },
3610
+ {
3611
+ "epoch": 0.78,
3612
+ "learning_rate": 1.0846395392773848e-05,
3613
+ "loss": 1.2522,
3614
+ "step": 300500
3615
+ },
3616
+ {
3617
+ "epoch": 0.78,
3618
+ "learning_rate": 1.0781247964142856e-05,
3619
+ "loss": 1.2527,
3620
+ "step": 301000
3621
+ },
3622
+ {
3623
+ "epoch": 0.79,
3624
+ "learning_rate": 1.0716100535511863e-05,
3625
+ "loss": 1.2461,
3626
+ "step": 301500
3627
+ },
3628
+ {
3629
+ "epoch": 0.79,
3630
+ "learning_rate": 1.0650953106880872e-05,
3631
+ "loss": 1.2507,
3632
+ "step": 302000
3633
+ },
3634
+ {
3635
+ "epoch": 0.79,
3636
+ "learning_rate": 1.058580567824988e-05,
3637
+ "loss": 1.2536,
3638
+ "step": 302500
3639
+ },
3640
+ {
3641
+ "epoch": 0.79,
3642
+ "learning_rate": 1.0520658249618888e-05,
3643
+ "loss": 1.2427,
3644
+ "step": 303000
3645
+ },
3646
+ {
3647
+ "epoch": 0.79,
3648
+ "learning_rate": 1.0455510820987896e-05,
3649
+ "loss": 1.2488,
3650
+ "step": 303500
3651
+ },
3652
+ {
3653
+ "epoch": 0.79,
3654
+ "learning_rate": 1.0390363392356905e-05,
3655
+ "loss": 1.2536,
3656
+ "step": 304000
3657
+ },
3658
+ {
3659
+ "epoch": 0.79,
3660
+ "learning_rate": 1.0325215963725912e-05,
3661
+ "loss": 1.2464,
3662
+ "step": 304500
3663
+ },
3664
+ {
3665
+ "epoch": 0.79,
3666
+ "learning_rate": 1.026006853509492e-05,
3667
+ "loss": 1.2432,
3668
+ "step": 305000
3669
+ },
3670
+ {
3671
+ "epoch": 0.8,
3672
+ "learning_rate": 1.0194921106463929e-05,
3673
+ "loss": 1.2573,
3674
+ "step": 305500
3675
+ },
3676
+ {
3677
+ "epoch": 0.8,
3678
+ "learning_rate": 1.0129773677832936e-05,
3679
+ "loss": 1.2486,
3680
+ "step": 306000
3681
+ },
3682
+ {
3683
+ "epoch": 0.8,
3684
+ "learning_rate": 1.0064626249201944e-05,
3685
+ "loss": 1.2575,
3686
+ "step": 306500
3687
+ },
3688
+ {
3689
+ "epoch": 0.8,
3690
+ "learning_rate": 9.999478820570953e-06,
3691
+ "loss": 1.2395,
3692
+ "step": 307000
3693
+ },
3694
+ {
3695
+ "epoch": 0.8,
3696
+ "learning_rate": 9.93433139193996e-06,
3697
+ "loss": 1.2447,
3698
+ "step": 307500
3699
+ },
3700
+ {
3701
+ "epoch": 0.8,
3702
+ "learning_rate": 9.869183963308969e-06,
3703
+ "loss": 1.252,
3704
+ "step": 308000
3705
+ },
3706
+ {
3707
+ "epoch": 0.8,
3708
+ "learning_rate": 9.804036534677977e-06,
3709
+ "loss": 1.2417,
3710
+ "step": 308500
3711
+ },
3712
+ {
3713
+ "epoch": 0.81,
3714
+ "learning_rate": 9.738889106046984e-06,
3715
+ "loss": 1.2573,
3716
+ "step": 309000
3717
+ },
3718
+ {
3719
+ "epoch": 0.81,
3720
+ "learning_rate": 9.673741677415993e-06,
3721
+ "loss": 1.2414,
3722
+ "step": 309500
3723
+ },
3724
+ {
3725
+ "epoch": 0.81,
3726
+ "learning_rate": 9.608594248785001e-06,
3727
+ "loss": 1.248,
3728
+ "step": 310000
3729
+ },
3730
+ {
3731
+ "epoch": 0.81,
3732
+ "learning_rate": 9.543446820154008e-06,
3733
+ "loss": 1.2386,
3734
+ "step": 310500
3735
+ },
3736
+ {
3737
+ "epoch": 0.81,
3738
+ "learning_rate": 9.478299391523017e-06,
3739
+ "loss": 1.258,
3740
+ "step": 311000
3741
+ },
3742
+ {
3743
+ "epoch": 0.81,
3744
+ "learning_rate": 9.413151962892026e-06,
3745
+ "loss": 1.2442,
3746
+ "step": 311500
3747
+ },
3748
+ {
3749
+ "epoch": 0.81,
3750
+ "learning_rate": 9.348004534261033e-06,
3751
+ "loss": 1.2456,
3752
+ "step": 312000
3753
+ },
3754
+ {
3755
+ "epoch": 0.81,
3756
+ "learning_rate": 9.282857105630041e-06,
3757
+ "loss": 1.2505,
3758
+ "step": 312500
3759
+ },
3760
+ {
3761
+ "epoch": 0.82,
3762
+ "learning_rate": 9.21770967699905e-06,
3763
+ "loss": 1.2391,
3764
+ "step": 313000
3765
+ },
3766
+ {
3767
+ "epoch": 0.82,
3768
+ "learning_rate": 9.152562248368057e-06,
3769
+ "loss": 1.2483,
3770
+ "step": 313500
3771
+ },
3772
+ {
3773
+ "epoch": 0.82,
3774
+ "learning_rate": 9.087414819737065e-06,
3775
+ "loss": 1.2432,
3776
+ "step": 314000
3777
+ },
3778
+ {
3779
+ "epoch": 0.82,
3780
+ "learning_rate": 9.022267391106074e-06,
3781
+ "loss": 1.2428,
3782
+ "step": 314500
3783
+ },
3784
+ {
3785
+ "epoch": 0.82,
3786
+ "learning_rate": 8.95711996247508e-06,
3787
+ "loss": 1.2468,
3788
+ "step": 315000
3789
+ },
3790
+ {
3791
+ "epoch": 0.82,
3792
+ "learning_rate": 8.89197253384409e-06,
3793
+ "loss": 1.2469,
3794
+ "step": 315500
3795
+ },
3796
+ {
3797
+ "epoch": 0.82,
3798
+ "learning_rate": 8.826825105213098e-06,
3799
+ "loss": 1.2465,
3800
+ "step": 316000
3801
+ },
3802
+ {
3803
+ "epoch": 0.82,
3804
+ "learning_rate": 8.761677676582105e-06,
3805
+ "loss": 1.2313,
3806
+ "step": 316500
3807
+ },
3808
+ {
3809
+ "epoch": 0.83,
3810
+ "learning_rate": 8.696530247951114e-06,
3811
+ "loss": 1.2507,
3812
+ "step": 317000
3813
+ },
3814
+ {
3815
+ "epoch": 0.83,
3816
+ "learning_rate": 8.631382819320122e-06,
3817
+ "loss": 1.2452,
3818
+ "step": 317500
3819
+ },
3820
+ {
3821
+ "epoch": 0.83,
3822
+ "learning_rate": 8.566235390689129e-06,
3823
+ "loss": 1.2403,
3824
+ "step": 318000
3825
+ },
3826
+ {
3827
+ "epoch": 0.83,
3828
+ "learning_rate": 8.501087962058138e-06,
3829
+ "loss": 1.2561,
3830
+ "step": 318500
3831
+ },
3832
+ {
3833
+ "epoch": 0.83,
3834
+ "learning_rate": 8.435940533427146e-06,
3835
+ "loss": 1.2514,
3836
+ "step": 319000
3837
+ },
3838
+ {
3839
+ "epoch": 0.83,
3840
+ "learning_rate": 8.370793104796153e-06,
3841
+ "loss": 1.2375,
3842
+ "step": 319500
3843
+ },
3844
+ {
3845
+ "epoch": 0.83,
3846
+ "learning_rate": 8.305645676165162e-06,
3847
+ "loss": 1.245,
3848
+ "step": 320000
3849
+ },
3850
+ {
3851
+ "epoch": 0.84,
3852
+ "learning_rate": 8.24049824753417e-06,
3853
+ "loss": 1.2454,
3854
+ "step": 320500
3855
+ },
3856
+ {
3857
+ "epoch": 0.84,
3858
+ "learning_rate": 8.175350818903177e-06,
3859
+ "loss": 1.2389,
3860
+ "step": 321000
3861
+ },
3862
+ {
3863
+ "epoch": 0.84,
3864
+ "learning_rate": 8.110203390272186e-06,
3865
+ "loss": 1.241,
3866
+ "step": 321500
3867
+ },
3868
+ {
3869
+ "epoch": 0.84,
3870
+ "learning_rate": 8.045055961641195e-06,
3871
+ "loss": 1.2465,
3872
+ "step": 322000
3873
+ },
3874
+ {
3875
+ "epoch": 0.84,
3876
+ "learning_rate": 7.979908533010202e-06,
3877
+ "loss": 1.2451,
3878
+ "step": 322500
3879
+ },
3880
+ {
3881
+ "epoch": 0.84,
3882
+ "learning_rate": 7.91476110437921e-06,
3883
+ "loss": 1.2396,
3884
+ "step": 323000
3885
+ },
3886
+ {
3887
+ "epoch": 0.84,
3888
+ "learning_rate": 7.849613675748219e-06,
3889
+ "loss": 1.2392,
3890
+ "step": 323500
3891
+ },
3892
+ {
3893
+ "epoch": 0.84,
3894
+ "learning_rate": 7.784466247117227e-06,
3895
+ "loss": 1.2431,
3896
+ "step": 324000
3897
+ },
3898
+ {
3899
+ "epoch": 0.85,
3900
+ "learning_rate": 7.719318818486234e-06,
3901
+ "loss": 1.2502,
3902
+ "step": 324500
3903
+ },
3904
+ {
3905
+ "epoch": 0.85,
3906
+ "learning_rate": 7.654171389855243e-06,
3907
+ "loss": 1.2453,
3908
+ "step": 325000
3909
+ },
3910
+ {
3911
+ "epoch": 0.85,
3912
+ "learning_rate": 7.589023961224251e-06,
3913
+ "loss": 1.237,
3914
+ "step": 325500
3915
+ },
3916
+ {
3917
+ "epoch": 0.85,
3918
+ "learning_rate": 7.5238765325932586e-06,
3919
+ "loss": 1.2242,
3920
+ "step": 326000
3921
+ },
3922
+ {
3923
+ "epoch": 0.85,
3924
+ "learning_rate": 7.458729103962267e-06,
3925
+ "loss": 1.2353,
3926
+ "step": 326500
3927
+ },
3928
+ {
3929
+ "epoch": 0.85,
3930
+ "learning_rate": 7.393581675331275e-06,
3931
+ "loss": 1.239,
3932
+ "step": 327000
3933
+ },
3934
+ {
3935
+ "epoch": 0.85,
3936
+ "learning_rate": 7.328434246700283e-06,
3937
+ "loss": 1.2448,
3938
+ "step": 327500
3939
+ },
3940
+ {
3941
+ "epoch": 0.85,
3942
+ "learning_rate": 7.263286818069291e-06,
3943
+ "loss": 1.2389,
3944
+ "step": 328000
3945
+ },
3946
+ {
3947
+ "epoch": 0.86,
3948
+ "learning_rate": 7.198139389438299e-06,
3949
+ "loss": 1.2387,
3950
+ "step": 328500
3951
+ },
3952
+ {
3953
+ "epoch": 0.86,
3954
+ "learning_rate": 7.132991960807307e-06,
3955
+ "loss": 1.242,
3956
+ "step": 329000
3957
+ },
3958
+ {
3959
+ "epoch": 0.86,
3960
+ "learning_rate": 7.0678445321763155e-06,
3961
+ "loss": 1.2347,
3962
+ "step": 329500
3963
+ },
3964
+ {
3965
+ "epoch": 0.86,
3966
+ "learning_rate": 7.002697103545323e-06,
3967
+ "loss": 1.2357,
3968
+ "step": 330000
3969
+ },
3970
+ {
3971
+ "epoch": 0.86,
3972
+ "learning_rate": 6.937549674914332e-06,
3973
+ "loss": 1.2378,
3974
+ "step": 330500
3975
+ },
3976
+ {
3977
+ "epoch": 0.86,
3978
+ "learning_rate": 6.87240224628334e-06,
3979
+ "loss": 1.2436,
3980
+ "step": 331000
3981
+ },
3982
+ {
3983
+ "epoch": 0.86,
3984
+ "learning_rate": 6.8072548176523474e-06,
3985
+ "loss": 1.2335,
3986
+ "step": 331500
3987
+ },
3988
+ {
3989
+ "epoch": 0.87,
3990
+ "learning_rate": 6.742107389021356e-06,
3991
+ "loss": 1.2444,
3992
+ "step": 332000
3993
+ },
3994
+ {
3995
+ "epoch": 0.87,
3996
+ "learning_rate": 6.676959960390364e-06,
3997
+ "loss": 1.2385,
3998
+ "step": 332500
3999
+ },
4000
+ {
4001
+ "epoch": 0.87,
4002
+ "learning_rate": 6.611812531759372e-06,
4003
+ "loss": 1.2399,
4004
+ "step": 333000
4005
+ },
4006
+ {
4007
+ "epoch": 0.87,
4008
+ "learning_rate": 6.54666510312838e-06,
4009
+ "loss": 1.2405,
4010
+ "step": 333500
4011
+ },
4012
+ {
4013
+ "epoch": 0.87,
4014
+ "learning_rate": 6.481517674497388e-06,
4015
+ "loss": 1.2354,
4016
+ "step": 334000
4017
+ },
4018
+ {
4019
+ "epoch": 0.87,
4020
+ "learning_rate": 6.416370245866396e-06,
4021
+ "loss": 1.2357,
4022
+ "step": 334500
4023
+ },
4024
+ {
4025
+ "epoch": 0.87,
4026
+ "learning_rate": 6.351222817235404e-06,
4027
+ "loss": 1.2321,
4028
+ "step": 335000
4029
+ },
4030
+ {
4031
+ "epoch": 0.87,
4032
+ "learning_rate": 6.286075388604412e-06,
4033
+ "loss": 1.241,
4034
+ "step": 335500
4035
+ },
4036
+ {
4037
+ "epoch": 0.88,
4038
+ "learning_rate": 6.22092795997342e-06,
4039
+ "loss": 1.2333,
4040
+ "step": 336000
4041
+ },
4042
+ {
4043
+ "epoch": 0.88,
4044
+ "learning_rate": 6.1557805313424285e-06,
4045
+ "loss": 1.2356,
4046
+ "step": 336500
4047
+ },
4048
+ {
4049
+ "epoch": 0.88,
4050
+ "learning_rate": 6.090633102711436e-06,
4051
+ "loss": 1.2372,
4052
+ "step": 337000
4053
+ },
4054
+ {
4055
+ "epoch": 0.88,
4056
+ "learning_rate": 6.025485674080444e-06,
4057
+ "loss": 1.238,
4058
+ "step": 337500
4059
+ },
4060
+ {
4061
+ "epoch": 0.88,
4062
+ "learning_rate": 5.960338245449453e-06,
4063
+ "loss": 1.2322,
4064
+ "step": 338000
4065
+ },
4066
+ {
4067
+ "epoch": 0.88,
4068
+ "learning_rate": 5.8951908168184605e-06,
4069
+ "loss": 1.2388,
4070
+ "step": 338500
4071
+ },
4072
+ {
4073
+ "epoch": 0.88,
4074
+ "learning_rate": 5.830043388187468e-06,
4075
+ "loss": 1.2371,
4076
+ "step": 339000
4077
+ },
4078
+ {
4079
+ "epoch": 0.88,
4080
+ "learning_rate": 5.764895959556477e-06,
4081
+ "loss": 1.23,
4082
+ "step": 339500
4083
+ },
4084
+ {
4085
+ "epoch": 0.89,
4086
+ "learning_rate": 5.699748530925485e-06,
4087
+ "loss": 1.2387,
4088
+ "step": 340000
4089
+ },
4090
+ {
4091
+ "epoch": 0.89,
4092
+ "learning_rate": 5.634601102294492e-06,
4093
+ "loss": 1.2379,
4094
+ "step": 340500
4095
+ },
4096
+ {
4097
+ "epoch": 0.89,
4098
+ "learning_rate": 5.569453673663501e-06,
4099
+ "loss": 1.2343,
4100
+ "step": 341000
4101
+ },
4102
+ {
4103
+ "epoch": 0.89,
4104
+ "learning_rate": 5.504306245032509e-06,
4105
+ "loss": 1.2251,
4106
+ "step": 341500
4107
+ },
4108
+ {
4109
+ "epoch": 0.89,
4110
+ "learning_rate": 5.439158816401517e-06,
4111
+ "loss": 1.2316,
4112
+ "step": 342000
4113
+ },
4114
+ {
4115
+ "epoch": 0.89,
4116
+ "learning_rate": 5.374011387770525e-06,
4117
+ "loss": 1.2261,
4118
+ "step": 342500
4119
+ },
4120
+ {
4121
+ "epoch": 0.89,
4122
+ "learning_rate": 5.308863959139533e-06,
4123
+ "loss": 1.2313,
4124
+ "step": 343000
4125
+ },
4126
+ {
4127
+ "epoch": 0.9,
4128
+ "learning_rate": 5.2437165305085415e-06,
4129
+ "loss": 1.2262,
4130
+ "step": 343500
4131
+ },
4132
+ {
4133
+ "epoch": 0.9,
4134
+ "learning_rate": 5.178569101877549e-06,
4135
+ "loss": 1.2244,
4136
+ "step": 344000
4137
+ },
4138
+ {
4139
+ "epoch": 0.9,
4140
+ "learning_rate": 5.113421673246557e-06,
4141
+ "loss": 1.2219,
4142
+ "step": 344500
4143
+ },
4144
+ {
4145
+ "epoch": 0.9,
4146
+ "learning_rate": 5.048274244615566e-06,
4147
+ "loss": 1.2371,
4148
+ "step": 345000
4149
+ },
4150
+ {
4151
+ "epoch": 0.9,
4152
+ "learning_rate": 4.9831268159845735e-06,
4153
+ "loss": 1.2361,
4154
+ "step": 345500
4155
+ },
4156
+ {
4157
+ "epoch": 0.9,
4158
+ "learning_rate": 4.917979387353581e-06,
4159
+ "loss": 1.2376,
4160
+ "step": 346000
4161
+ },
4162
+ {
4163
+ "epoch": 0.9,
4164
+ "learning_rate": 4.85283195872259e-06,
4165
+ "loss": 1.2303,
4166
+ "step": 346500
4167
+ },
4168
+ {
4169
+ "epoch": 0.9,
4170
+ "learning_rate": 4.787684530091598e-06,
4171
+ "loss": 1.2284,
4172
+ "step": 347000
4173
+ },
4174
+ {
4175
+ "epoch": 0.91,
4176
+ "learning_rate": 4.722537101460605e-06,
4177
+ "loss": 1.2293,
4178
+ "step": 347500
4179
+ },
4180
+ {
4181
+ "epoch": 0.91,
4182
+ "learning_rate": 4.657389672829614e-06,
4183
+ "loss": 1.2322,
4184
+ "step": 348000
4185
+ },
4186
+ {
4187
+ "epoch": 0.91,
4188
+ "learning_rate": 4.592242244198622e-06,
4189
+ "loss": 1.2377,
4190
+ "step": 348500
4191
+ },
4192
+ {
4193
+ "epoch": 0.91,
4194
+ "learning_rate": 4.5270948155676296e-06,
4195
+ "loss": 1.2291,
4196
+ "step": 349000
4197
+ },
4198
+ {
4199
+ "epoch": 0.91,
4200
+ "learning_rate": 4.461947386936638e-06,
4201
+ "loss": 1.2351,
4202
+ "step": 349500
4203
+ },
4204
+ {
4205
+ "epoch": 0.91,
4206
+ "learning_rate": 4.396799958305646e-06,
4207
+ "loss": 1.2346,
4208
+ "step": 350000
4209
+ },
4210
+ {
4211
+ "epoch": 0.91,
4212
+ "learning_rate": 4.331652529674654e-06,
4213
+ "loss": 1.2344,
4214
+ "step": 350500
4215
+ },
4216
+ {
4217
+ "epoch": 0.91,
4218
+ "learning_rate": 4.266505101043662e-06,
4219
+ "loss": 1.2364,
4220
+ "step": 351000
4221
+ },
4222
+ {
4223
+ "epoch": 0.92,
4224
+ "learning_rate": 4.20135767241267e-06,
4225
+ "loss": 1.2236,
4226
+ "step": 351500
4227
+ },
4228
+ {
4229
+ "epoch": 0.92,
4230
+ "learning_rate": 4.136210243781678e-06,
4231
+ "loss": 1.2356,
4232
+ "step": 352000
4233
+ },
4234
+ {
4235
+ "epoch": 0.92,
4236
+ "learning_rate": 4.0710628151506865e-06,
4237
+ "loss": 1.2279,
4238
+ "step": 352500
4239
+ },
4240
+ {
4241
+ "epoch": 0.92,
4242
+ "learning_rate": 4.005915386519694e-06,
4243
+ "loss": 1.2347,
4244
+ "step": 353000
4245
+ },
4246
+ {
4247
+ "epoch": 0.92,
4248
+ "learning_rate": 3.940767957888702e-06,
4249
+ "loss": 1.2281,
4250
+ "step": 353500
4251
+ },
4252
+ {
4253
+ "epoch": 0.92,
4254
+ "learning_rate": 3.875620529257711e-06,
4255
+ "loss": 1.2307,
4256
+ "step": 354000
4257
+ },
4258
+ {
4259
+ "epoch": 0.92,
4260
+ "learning_rate": 3.8104731006267184e-06,
4261
+ "loss": 1.2296,
4262
+ "step": 354500
4263
+ },
4264
+ {
4265
+ "epoch": 0.93,
4266
+ "learning_rate": 3.7453256719957266e-06,
4267
+ "loss": 1.2299,
4268
+ "step": 355000
4269
+ },
4270
+ {
4271
+ "epoch": 0.93,
4272
+ "learning_rate": 3.680178243364735e-06,
4273
+ "loss": 1.2335,
4274
+ "step": 355500
4275
+ },
4276
+ {
4277
+ "epoch": 0.93,
4278
+ "learning_rate": 3.6150308147337426e-06,
4279
+ "loss": 1.2345,
4280
+ "step": 356000
4281
+ },
4282
+ {
4283
+ "epoch": 0.93,
4284
+ "learning_rate": 3.5498833861027508e-06,
4285
+ "loss": 1.2255,
4286
+ "step": 356500
4287
+ },
4288
+ {
4289
+ "epoch": 0.93,
4290
+ "learning_rate": 3.484735957471759e-06,
4291
+ "loss": 1.2279,
4292
+ "step": 357000
4293
+ },
4294
+ {
4295
+ "epoch": 0.93,
4296
+ "learning_rate": 3.419588528840767e-06,
4297
+ "loss": 1.2318,
4298
+ "step": 357500
4299
+ },
4300
+ {
4301
+ "epoch": 0.93,
4302
+ "learning_rate": 3.354441100209775e-06,
4303
+ "loss": 1.2328,
4304
+ "step": 358000
4305
+ },
4306
+ {
4307
+ "epoch": 0.93,
4308
+ "learning_rate": 3.289293671578783e-06,
4309
+ "loss": 1.2237,
4310
+ "step": 358500
4311
+ },
4312
+ {
4313
+ "epoch": 0.94,
4314
+ "learning_rate": 3.2241462429477913e-06,
4315
+ "loss": 1.2246,
4316
+ "step": 359000
4317
+ },
4318
+ {
4319
+ "epoch": 0.94,
4320
+ "learning_rate": 3.158998814316799e-06,
4321
+ "loss": 1.2295,
4322
+ "step": 359500
4323
+ },
4324
+ {
4325
+ "epoch": 0.94,
4326
+ "learning_rate": 3.0938513856858073e-06,
4327
+ "loss": 1.2272,
4328
+ "step": 360000
4329
+ },
4330
+ {
4331
+ "epoch": 0.94,
4332
+ "learning_rate": 3.0287039570548155e-06,
4333
+ "loss": 1.2275,
4334
+ "step": 360500
4335
+ },
4336
+ {
4337
+ "epoch": 0.94,
4338
+ "learning_rate": 2.9635565284238233e-06,
4339
+ "loss": 1.2233,
4340
+ "step": 361000
4341
+ },
4342
+ {
4343
+ "epoch": 0.94,
4344
+ "learning_rate": 2.8984090997928315e-06,
4345
+ "loss": 1.2321,
4346
+ "step": 361500
4347
+ },
4348
+ {
4349
+ "epoch": 0.94,
4350
+ "learning_rate": 2.8332616711618396e-06,
4351
+ "loss": 1.2314,
4352
+ "step": 362000
4353
+ },
4354
+ {
4355
+ "epoch": 0.94,
4356
+ "learning_rate": 2.7681142425308474e-06,
4357
+ "loss": 1.2295,
4358
+ "step": 362500
4359
+ },
4360
+ {
4361
+ "epoch": 0.95,
4362
+ "learning_rate": 2.702966813899855e-06,
4363
+ "loss": 1.2241,
4364
+ "step": 363000
4365
+ },
4366
+ {
4367
+ "epoch": 0.95,
4368
+ "learning_rate": 2.6378193852688634e-06,
4369
+ "loss": 1.2239,
4370
+ "step": 363500
4371
+ },
4372
+ {
4373
+ "epoch": 0.95,
4374
+ "learning_rate": 2.5726719566378716e-06,
4375
+ "loss": 1.224,
4376
+ "step": 364000
4377
+ },
4378
+ {
4379
+ "epoch": 0.95,
4380
+ "learning_rate": 2.5075245280068793e-06,
4381
+ "loss": 1.2289,
4382
+ "step": 364500
4383
+ },
4384
+ {
4385
+ "epoch": 0.95,
4386
+ "learning_rate": 2.4423770993758875e-06,
4387
+ "loss": 1.2216,
4388
+ "step": 365000
4389
+ },
4390
+ {
4391
+ "epoch": 0.95,
4392
+ "learning_rate": 2.3772296707448957e-06,
4393
+ "loss": 1.2295,
4394
+ "step": 365500
4395
+ },
4396
+ {
4397
+ "epoch": 0.95,
4398
+ "learning_rate": 2.3120822421139035e-06,
4399
+ "loss": 1.2328,
4400
+ "step": 366000
4401
+ },
4402
+ {
4403
+ "epoch": 0.96,
4404
+ "learning_rate": 2.2469348134829117e-06,
4405
+ "loss": 1.2245,
4406
+ "step": 366500
4407
+ },
4408
+ {
4409
+ "epoch": 0.96,
4410
+ "learning_rate": 2.18178738485192e-06,
4411
+ "loss": 1.2259,
4412
+ "step": 367000
4413
+ },
4414
+ {
4415
+ "epoch": 0.96,
4416
+ "learning_rate": 2.116639956220928e-06,
4417
+ "loss": 1.2159,
4418
+ "step": 367500
4419
+ },
4420
+ {
4421
+ "epoch": 0.96,
4422
+ "learning_rate": 2.051492527589936e-06,
4423
+ "loss": 1.2287,
4424
+ "step": 368000
4425
+ },
4426
+ {
4427
+ "epoch": 0.96,
4428
+ "learning_rate": 1.986345098958944e-06,
4429
+ "loss": 1.2279,
4430
+ "step": 368500
4431
+ },
4432
+ {
4433
+ "epoch": 0.96,
4434
+ "learning_rate": 1.9211976703279522e-06,
4435
+ "loss": 1.23,
4436
+ "step": 369000
4437
+ },
4438
+ {
4439
+ "epoch": 0.96,
4440
+ "learning_rate": 1.8560502416969602e-06,
4441
+ "loss": 1.2333,
4442
+ "step": 369500
4443
+ },
4444
+ {
4445
+ "epoch": 0.96,
4446
+ "learning_rate": 1.7909028130659682e-06,
4447
+ "loss": 1.2307,
4448
+ "step": 370000
4449
+ },
4450
+ {
4451
+ "epoch": 0.97,
4452
+ "learning_rate": 1.7257553844349762e-06,
4453
+ "loss": 1.2207,
4454
+ "step": 370500
4455
+ },
4456
+ {
4457
+ "epoch": 0.97,
4458
+ "learning_rate": 1.6606079558039844e-06,
4459
+ "loss": 1.2358,
4460
+ "step": 371000
4461
+ },
4462
+ {
4463
+ "epoch": 0.97,
4464
+ "learning_rate": 1.5954605271729924e-06,
4465
+ "loss": 1.2185,
4466
+ "step": 371500
4467
+ },
4468
+ {
4469
+ "epoch": 0.97,
4470
+ "learning_rate": 1.5303130985420006e-06,
4471
+ "loss": 1.2283,
4472
+ "step": 372000
4473
+ },
4474
+ {
4475
+ "epoch": 0.97,
4476
+ "learning_rate": 1.4651656699110088e-06,
4477
+ "loss": 1.2243,
4478
+ "step": 372500
4479
+ },
4480
+ {
4481
+ "epoch": 0.97,
4482
+ "learning_rate": 1.4000182412800167e-06,
4483
+ "loss": 1.2249,
4484
+ "step": 373000
4485
+ },
4486
+ {
4487
+ "epoch": 0.97,
4488
+ "learning_rate": 1.334870812649025e-06,
4489
+ "loss": 1.2199,
4490
+ "step": 373500
4491
+ },
4492
+ {
4493
+ "epoch": 0.97,
4494
+ "learning_rate": 1.269723384018033e-06,
4495
+ "loss": 1.2299,
4496
+ "step": 374000
4497
+ },
4498
+ {
4499
+ "epoch": 0.98,
4500
+ "learning_rate": 1.204575955387041e-06,
4501
+ "loss": 1.2126,
4502
+ "step": 374500
4503
+ },
4504
+ {
4505
+ "epoch": 0.98,
4506
+ "learning_rate": 1.139428526756049e-06,
4507
+ "loss": 1.2272,
4508
+ "step": 375000
4509
+ },
4510
+ {
4511
+ "epoch": 0.98,
4512
+ "learning_rate": 1.074281098125057e-06,
4513
+ "loss": 1.2325,
4514
+ "step": 375500
4515
+ },
4516
+ {
4517
+ "epoch": 0.98,
4518
+ "learning_rate": 1.0091336694940653e-06,
4519
+ "loss": 1.2247,
4520
+ "step": 376000
4521
+ },
4522
+ {
4523
+ "epoch": 0.98,
4524
+ "learning_rate": 9.439862408630733e-07,
4525
+ "loss": 1.2243,
4526
+ "step": 376500
4527
+ },
4528
+ {
4529
+ "epoch": 0.98,
4530
+ "learning_rate": 8.788388122320813e-07,
4531
+ "loss": 1.2236,
4532
+ "step": 377000
4533
+ },
4534
+ {
4535
+ "epoch": 0.98,
4536
+ "learning_rate": 8.136913836010893e-07,
4537
+ "loss": 1.2297,
4538
+ "step": 377500
4539
+ },
4540
+ {
4541
+ "epoch": 0.99,
4542
+ "learning_rate": 7.485439549700973e-07,
4543
+ "loss": 1.2215,
4544
+ "step": 378000
4545
+ },
4546
+ {
4547
+ "epoch": 0.99,
4548
+ "learning_rate": 6.833965263391054e-07,
4549
+ "loss": 1.2209,
4550
+ "step": 378500
4551
+ },
4552
+ {
4553
+ "epoch": 0.99,
4554
+ "learning_rate": 6.182490977081135e-07,
4555
+ "loss": 1.2283,
4556
+ "step": 379000
4557
+ },
4558
+ {
4559
+ "epoch": 0.99,
4560
+ "learning_rate": 5.531016690771216e-07,
4561
+ "loss": 1.2304,
4562
+ "step": 379500
4563
+ },
4564
+ {
4565
+ "epoch": 0.99,
4566
+ "learning_rate": 4.879542404461296e-07,
4567
+ "loss": 1.2144,
4568
+ "step": 380000
4569
+ },
4570
+ {
4571
+ "epoch": 0.99,
4572
+ "learning_rate": 4.2280681181513764e-07,
4573
+ "loss": 1.2267,
4574
+ "step": 380500
4575
+ },
4576
+ {
4577
+ "epoch": 0.99,
4578
+ "learning_rate": 3.5765938318414573e-07,
4579
+ "loss": 1.2266,
4580
+ "step": 381000
4581
+ },
4582
+ {
4583
+ "epoch": 0.99,
4584
+ "learning_rate": 2.925119545531538e-07,
4585
+ "loss": 1.2236,
4586
+ "step": 381500
4587
+ },
4588
+ {
4589
+ "epoch": 1.0,
4590
+ "learning_rate": 2.2736452592216185e-07,
4591
+ "loss": 1.2162,
4592
+ "step": 382000
4593
+ },
4594
+ {
4595
+ "epoch": 1.0,
4596
+ "learning_rate": 1.6221709729116992e-07,
4597
+ "loss": 1.2267,
4598
+ "step": 382500
4599
+ },
4600
+ {
4601
+ "epoch": 1.0,
4602
+ "learning_rate": 9.706966866017799e-08,
4603
+ "loss": 1.234,
4604
+ "step": 383000
4605
+ },
4606
+ {
4607
+ "epoch": 1.0,
4608
+ "learning_rate": 3.192224002918605e-08,
4609
+ "loss": 1.2369,
4610
+ "step": 383500
4611
+ }
4612
+ ],
4613
+ "max_steps": 383745,
4614
+ "num_train_epochs": 1,
4615
+ "total_flos": 1.61642598748028e+18,
4616
+ "trial_name": null,
4617
+ "trial_params": null
4618
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d88397e92b92958520ddf8cb0a40b786e25b3fcd7e275586ff545b719149e1aa
3
+ size 3375