Hugging Face's logo

CLMBR
/
npi-only-transformer-3

Text Generation
Transformers
PyTorch
opt
Generated from Trainer
Inference Endpoints
text-generation-inference
Model card Files Community
abhinavp commited on
Commit
a80ec8d
•
1 Parent(s): fb31c7e

Training in progress, epoch 0, checkpoint

Browse files
Files changed (11) hide show
  1. checkpoint-381600/config.json +28 -0
  2. checkpoint-381600/generation_config.json +7 -0
  3. checkpoint-381600/optimizer.pt +3 -0
  4. checkpoint-381600/pytorch_model.bin +3 -0
  5. checkpoint-381600/rng_state.pth +3 -0
  6. checkpoint-381600/scheduler.pt +3 -0
  7. checkpoint-381600/special_tokens_map.json +5 -0
  8. checkpoint-381600/tokenizer.json +0 -0
  9. checkpoint-381600/tokenizer_config.json +12 -0
  10. checkpoint-381600/trainer_state.json +4535 -0
  11. checkpoint-381600/training_args.bin +3 -0
checkpoint-381600/config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_remove_final_layer_norm": false,
3
+ "activation_function": "relu",
4
+ "architectures": [
5
+ "OPTForCausalLM"
6
+ ],
7
+ "attention_dropout": 0.0,
8
+ "bos_token_id": 2,
9
+ "do_layer_norm_before": true,
10
+ "dropout": 0.1,
11
+ "enable_bias": true,
12
+ "eos_token_id": 2,
13
+ "ffn_dim": 768,
14
+ "hidden_size": 768,
15
+ "init_std": 0.02,
16
+ "layer_norm_elementwise_affine": true,
17
+ "layerdrop": 0.0,
18
+ "max_position_embeddings": 512,
19
+ "model_type": "opt",
20
+ "num_attention_heads": 8,
21
+ "num_hidden_layers": 8,
22
+ "pad_token_id": 1,
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.33.3",
25
+ "use_cache": true,
26
+ "vocab_size": 50002,
27
+ "word_embed_proj_dim": 768
28
+ }
checkpoint-381600/generation_config.json ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 2,
4
+ "eos_token_id": 2,
5
+ "pad_token_id": 1,
6
+ "transformers_version": "4.33.3"
7
+ }
checkpoint-381600/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:26b3a0ddeee6517c0ab2af1359b07566a422def4157b80aa11eafa61cc513e9d
3
+ size 537476677
checkpoint-381600/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b414b2c4b248b9ae20ca072b1e7248391fe0721b8023236800835939f9ce4388
3
+ size 268727709
checkpoint-381600/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:67a09358c29b688572c093af607050f32302f3a65d9a93dcb54f04c52749275b
3
+ size 14575
checkpoint-381600/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:92b42bc9e2fc198469436744fd4c1e451887aac017066fd272a72fdaff9c6bdf
3
+ size 627
checkpoint-381600/special_tokens_map.json ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
1
+ {
2
+ "eos_token": "<eos>",
3
+ "pad_token": "<pad>",
4
+ "unk_token": "<unk>"
5
+ }
checkpoint-381600/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-381600/tokenizer_config.json ADDED
@@ -0,0 +1,12 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "clean_up_tokenization_spaces": true,
3
+ "eos_token": "<eos>",
4
+ "max_length": null,
5
+ "model_max_length": 512,
6
+ "pad_to_multiple_of": null,
7
+ "pad_token": "<pad>",
8
+ "pad_token_type_id": 0,
9
+ "padding_side": "right",
10
+ "tokenizer_class": "PreTrainedTokenizerFast",
11
+ "unk_token": "<unk>"
12
+ }
checkpoint-381600/trainer_state.json ADDED
@@ -0,0 +1,4535 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 3.8861355781555176,
3
+ "best_model_checkpoint": "/mmfs1/gscratch/stf/abhinavp/corpus-filtering/outputs/npi-only/transformer/3/checkpoints/checkpoint-381600",
4
+ "epoch": 0.025000606015738065,
5
+ "eval_steps": 10,
6
+ "global_step": 381600,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 4.999998362119627e-05,
14
+ "loss": 10.9828,
15
+ "step": 1
16
+ },
17
+ {
18
+ "epoch": 0.0,
19
+ "learning_rate": 4.999161405248948e-05,
20
+ "loss": 6.815,
21
+ "step": 512
22
+ },
23
+ {
24
+ "epoch": 0.0,
25
+ "learning_rate": 4.998322810497896e-05,
26
+ "loss": 6.1821,
27
+ "step": 1024
28
+ },
29
+ {
30
+ "epoch": 0.0,
31
+ "learning_rate": 4.997484215746844e-05,
32
+ "loss": 5.9729,
33
+ "step": 1536
34
+ },
35
+ {
36
+ "epoch": 0.0,
37
+ "learning_rate": 4.996645620995792e-05,
38
+ "loss": 5.8165,
39
+ "step": 2048
40
+ },
41
+ {
42
+ "epoch": 0.0,
43
+ "learning_rate": 4.99580702624474e-05,
44
+ "loss": 5.7082,
45
+ "step": 2560
46
+ },
47
+ {
48
+ "epoch": 0.0,
49
+ "learning_rate": 4.994968431493688e-05,
50
+ "loss": 5.6061,
51
+ "step": 3072
52
+ },
53
+ {
54
+ "epoch": 0.0,
55
+ "learning_rate": 4.994129836742636e-05,
56
+ "loss": 5.5386,
57
+ "step": 3584
58
+ },
59
+ {
60
+ "epoch": 0.0,
61
+ "learning_rate": 4.993291241991584e-05,
62
+ "loss": 5.4514,
63
+ "step": 4096
64
+ },
65
+ {
66
+ "epoch": 0.0,
67
+ "learning_rate": 4.992452647240532e-05,
68
+ "loss": 5.4102,
69
+ "step": 4608
70
+ },
71
+ {
72
+ "epoch": 0.0,
73
+ "learning_rate": 4.99161405248948e-05,
74
+ "loss": 5.3599,
75
+ "step": 5120
76
+ },
77
+ {
78
+ "epoch": 0.0,
79
+ "learning_rate": 4.990775457738428e-05,
80
+ "loss": 5.3198,
81
+ "step": 5632
82
+ },
83
+ {
84
+ "epoch": 0.0,
85
+ "learning_rate": 4.989938500867749e-05,
86
+ "loss": 5.2546,
87
+ "step": 6144
88
+ },
89
+ {
90
+ "epoch": 0.0,
91
+ "learning_rate": 4.989099906116697e-05,
92
+ "loss": 5.2159,
93
+ "step": 6656
94
+ },
95
+ {
96
+ "epoch": 0.0,
97
+ "learning_rate": 4.988261311365645e-05,
98
+ "loss": 5.183,
99
+ "step": 7168
100
+ },
101
+ {
102
+ "epoch": 0.0,
103
+ "learning_rate": 4.987422716614593e-05,
104
+ "loss": 5.1335,
105
+ "step": 7680
106
+ },
107
+ {
108
+ "epoch": 0.0,
109
+ "learning_rate": 4.986584121863541e-05,
110
+ "loss": 5.1172,
111
+ "step": 8192
112
+ },
113
+ {
114
+ "epoch": 0.0,
115
+ "learning_rate": 4.985745527112489e-05,
116
+ "loss": 5.0848,
117
+ "step": 8704
118
+ },
119
+ {
120
+ "epoch": 0.0,
121
+ "learning_rate": 4.984906932361437e-05,
122
+ "loss": 5.0452,
123
+ "step": 9216
124
+ },
125
+ {
126
+ "epoch": 0.0,
127
+ "learning_rate": 4.984068337610385e-05,
128
+ "loss": 5.023,
129
+ "step": 9728
130
+ },
131
+ {
132
+ "epoch": 0.0,
133
+ "learning_rate": 4.983229742859333e-05,
134
+ "loss": 5.0069,
135
+ "step": 10240
136
+ },
137
+ {
138
+ "epoch": 0.0,
139
+ "learning_rate": 4.9823927859886547e-05,
140
+ "loss": 4.9763,
141
+ "step": 10752
142
+ },
143
+ {
144
+ "epoch": 0.0,
145
+ "learning_rate": 4.9815541912376026e-05,
146
+ "loss": 4.9588,
147
+ "step": 11264
148
+ },
149
+ {
150
+ "epoch": 0.0,
151
+ "learning_rate": 4.9807155964865506e-05,
152
+ "loss": 4.926,
153
+ "step": 11776
154
+ },
155
+ {
156
+ "epoch": 0.0,
157
+ "learning_rate": 4.9798770017354986e-05,
158
+ "loss": 4.9188,
159
+ "step": 12288
160
+ },
161
+ {
162
+ "epoch": 0.0,
163
+ "learning_rate": 4.9790400448648195e-05,
164
+ "loss": 4.8964,
165
+ "step": 12800
166
+ },
167
+ {
168
+ "epoch": 0.0,
169
+ "learning_rate": 4.9782014501137675e-05,
170
+ "loss": 4.8732,
171
+ "step": 13312
172
+ },
173
+ {
174
+ "epoch": 0.0,
175
+ "learning_rate": 4.9773628553627155e-05,
176
+ "loss": 4.8532,
177
+ "step": 13824
178
+ },
179
+ {
180
+ "epoch": 0.0,
181
+ "learning_rate": 4.9765242606116635e-05,
182
+ "loss": 4.828,
183
+ "step": 14336
184
+ },
185
+ {
186
+ "epoch": 0.0,
187
+ "learning_rate": 4.9756873037409844e-05,
188
+ "loss": 4.8199,
189
+ "step": 14848
190
+ },
191
+ {
192
+ "epoch": 0.01,
193
+ "learning_rate": 4.9748487089899324e-05,
194
+ "loss": 4.8034,
195
+ "step": 15360
196
+ },
197
+ {
198
+ "epoch": 0.01,
199
+ "learning_rate": 4.9740117521192533e-05,
200
+ "loss": 4.7967,
201
+ "step": 15872
202
+ },
203
+ {
204
+ "epoch": 0.01,
205
+ "learning_rate": 4.9731731573682013e-05,
206
+ "loss": 4.7807,
207
+ "step": 16384
208
+ },
209
+ {
210
+ "epoch": 0.01,
211
+ "learning_rate": 4.97233456261715e-05,
212
+ "loss": 4.7672,
213
+ "step": 16896
214
+ },
215
+ {
216
+ "epoch": 0.01,
217
+ "learning_rate": 4.971495967866098e-05,
218
+ "loss": 4.7584,
219
+ "step": 17408
220
+ },
221
+ {
222
+ "epoch": 0.01,
223
+ "learning_rate": 4.970657373115046e-05,
224
+ "loss": 4.7461,
225
+ "step": 17920
226
+ },
227
+ {
228
+ "epoch": 0.01,
229
+ "learning_rate": 4.969818778363994e-05,
230
+ "loss": 4.7364,
231
+ "step": 18432
232
+ },
233
+ {
234
+ "epoch": 0.01,
235
+ "learning_rate": 4.968981821493315e-05,
236
+ "loss": 4.7037,
237
+ "step": 18944
238
+ },
239
+ {
240
+ "epoch": 0.01,
241
+ "learning_rate": 4.968143226742263e-05,
242
+ "loss": 4.7038,
243
+ "step": 19456
244
+ },
245
+ {
246
+ "epoch": 0.01,
247
+ "learning_rate": 4.967304631991211e-05,
248
+ "loss": 4.6797,
249
+ "step": 19968
250
+ },
251
+ {
252
+ "epoch": 0.01,
253
+ "learning_rate": 4.966466037240159e-05,
254
+ "loss": 4.6841,
255
+ "step": 20480
256
+ },
257
+ {
258
+ "epoch": 0.01,
259
+ "learning_rate": 4.965627442489107e-05,
260
+ "loss": 4.6644,
261
+ "step": 20992
262
+ },
263
+ {
264
+ "epoch": 0.01,
265
+ "learning_rate": 4.964788847738054e-05,
266
+ "loss": 4.6666,
267
+ "step": 21504
268
+ },
269
+ {
270
+ "epoch": 0.01,
271
+ "learning_rate": 4.963950252987002e-05,
272
+ "loss": 4.6455,
273
+ "step": 22016
274
+ },
275
+ {
276
+ "epoch": 0.01,
277
+ "learning_rate": 4.96311165823595e-05,
278
+ "loss": 4.6428,
279
+ "step": 22528
280
+ },
281
+ {
282
+ "epoch": 0.01,
283
+ "learning_rate": 4.962274701365272e-05,
284
+ "loss": 4.6342,
285
+ "step": 23040
286
+ },
287
+ {
288
+ "epoch": 0.01,
289
+ "learning_rate": 4.96143610661422e-05,
290
+ "loss": 4.6276,
291
+ "step": 23552
292
+ },
293
+ {
294
+ "epoch": 0.01,
295
+ "learning_rate": 4.960597511863168e-05,
296
+ "loss": 4.6153,
297
+ "step": 24064
298
+ },
299
+ {
300
+ "epoch": 0.01,
301
+ "learning_rate": 4.959758917112116e-05,
302
+ "loss": 4.5907,
303
+ "step": 24576
304
+ },
305
+ {
306
+ "epoch": 0.01,
307
+ "learning_rate": 4.9589219602414374e-05,
308
+ "loss": 4.5971,
309
+ "step": 25088
310
+ },
311
+ {
312
+ "epoch": 0.01,
313
+ "learning_rate": 4.958083365490385e-05,
314
+ "loss": 4.5978,
315
+ "step": 25600
316
+ },
317
+ {
318
+ "epoch": 0.01,
319
+ "learning_rate": 4.957244770739333e-05,
320
+ "loss": 4.5916,
321
+ "step": 26112
322
+ },
323
+ {
324
+ "epoch": 0.01,
325
+ "learning_rate": 4.956406175988281e-05,
326
+ "loss": 4.5719,
327
+ "step": 26624
328
+ },
329
+ {
330
+ "epoch": 0.01,
331
+ "learning_rate": 4.9555692191176016e-05,
332
+ "loss": 4.5592,
333
+ "step": 27136
334
+ },
335
+ {
336
+ "epoch": 0.01,
337
+ "learning_rate": 4.954732262246923e-05,
338
+ "loss": 4.5614,
339
+ "step": 27648
340
+ },
341
+ {
342
+ "epoch": 0.01,
343
+ "learning_rate": 4.953893667495871e-05,
344
+ "loss": 4.5481,
345
+ "step": 28160
346
+ },
347
+ {
348
+ "epoch": 0.01,
349
+ "learning_rate": 4.953055072744819e-05,
350
+ "loss": 4.563,
351
+ "step": 28672
352
+ },
353
+ {
354
+ "epoch": 0.01,
355
+ "learning_rate": 4.952216477993767e-05,
356
+ "loss": 4.5249,
357
+ "step": 29184
358
+ },
359
+ {
360
+ "epoch": 0.01,
361
+ "learning_rate": 4.951377883242715e-05,
362
+ "loss": 4.5405,
363
+ "step": 29696
364
+ },
365
+ {
366
+ "epoch": 0.01,
367
+ "learning_rate": 4.950539288491663e-05,
368
+ "loss": 4.5303,
369
+ "step": 30208
370
+ },
371
+ {
372
+ "epoch": 0.01,
373
+ "learning_rate": 4.949700693740611e-05,
374
+ "loss": 4.5116,
375
+ "step": 30720
376
+ },
377
+ {
378
+ "epoch": 0.01,
379
+ "learning_rate": 4.948862098989559e-05,
380
+ "loss": 4.5213,
381
+ "step": 31232
382
+ },
383
+ {
384
+ "epoch": 0.01,
385
+ "learning_rate": 4.94802514211888e-05,
386
+ "loss": 4.5053,
387
+ "step": 31744
388
+ },
389
+ {
390
+ "epoch": 0.01,
391
+ "learning_rate": 4.947186547367828e-05,
392
+ "loss": 4.4964,
393
+ "step": 32256
394
+ },
395
+ {
396
+ "epoch": 0.01,
397
+ "learning_rate": 4.946347952616776e-05,
398
+ "loss": 4.4904,
399
+ "step": 32768
400
+ },
401
+ {
402
+ "epoch": 0.01,
403
+ "learning_rate": 4.945509357865724e-05,
404
+ "loss": 4.5027,
405
+ "step": 33280
406
+ },
407
+ {
408
+ "epoch": 0.01,
409
+ "learning_rate": 4.944672400995045e-05,
410
+ "loss": 4.4811,
411
+ "step": 33792
412
+ },
413
+ {
414
+ "epoch": 0.01,
415
+ "learning_rate": 4.943833806243993e-05,
416
+ "loss": 4.4772,
417
+ "step": 34304
418
+ },
419
+ {
420
+ "epoch": 0.01,
421
+ "learning_rate": 4.942995211492941e-05,
422
+ "loss": 4.4696,
423
+ "step": 34816
424
+ },
425
+ {
426
+ "epoch": 0.01,
427
+ "learning_rate": 4.942156616741889e-05,
428
+ "loss": 4.4621,
429
+ "step": 35328
430
+ },
431
+ {
432
+ "epoch": 0.01,
433
+ "learning_rate": 4.9413196598712105e-05,
434
+ "loss": 4.4697,
435
+ "step": 35840
436
+ },
437
+ {
438
+ "epoch": 0.01,
439
+ "learning_rate": 4.940482703000532e-05,
440
+ "loss": 4.4767,
441
+ "step": 36352
442
+ },
443
+ {
444
+ "epoch": 0.01,
445
+ "learning_rate": 4.9396441082494794e-05,
446
+ "loss": 4.4497,
447
+ "step": 36864
448
+ },
449
+ {
450
+ "epoch": 0.01,
451
+ "learning_rate": 4.9388055134984274e-05,
452
+ "loss": 4.4607,
453
+ "step": 37376
454
+ },
455
+ {
456
+ "epoch": 0.01,
457
+ "learning_rate": 4.9379669187473754e-05,
458
+ "loss": 4.4656,
459
+ "step": 37888
460
+ },
461
+ {
462
+ "epoch": 0.01,
463
+ "learning_rate": 4.9371283239963234e-05,
464
+ "loss": 4.4472,
465
+ "step": 38400
466
+ },
467
+ {
468
+ "epoch": 0.01,
469
+ "learning_rate": 4.936291367125644e-05,
470
+ "loss": 4.4359,
471
+ "step": 38912
472
+ },
473
+ {
474
+ "epoch": 0.01,
475
+ "learning_rate": 4.935452772374592e-05,
476
+ "loss": 4.4374,
477
+ "step": 39424
478
+ },
479
+ {
480
+ "epoch": 0.01,
481
+ "learning_rate": 4.93461417762354e-05,
482
+ "loss": 4.4348,
483
+ "step": 39936
484
+ },
485
+ {
486
+ "epoch": 0.01,
487
+ "learning_rate": 4.933775582872488e-05,
488
+ "loss": 4.421,
489
+ "step": 40448
490
+ },
491
+ {
492
+ "epoch": 0.01,
493
+ "learning_rate": 4.932936988121436e-05,
494
+ "loss": 4.4193,
495
+ "step": 40960
496
+ },
497
+ {
498
+ "epoch": 0.01,
499
+ "learning_rate": 4.932098393370384e-05,
500
+ "loss": 4.4273,
501
+ "step": 41472
502
+ },
503
+ {
504
+ "epoch": 0.01,
505
+ "learning_rate": 4.931261436499706e-05,
506
+ "loss": 4.4282,
507
+ "step": 41984
508
+ },
509
+ {
510
+ "epoch": 0.01,
511
+ "learning_rate": 4.930422841748654e-05,
512
+ "loss": 4.4108,
513
+ "step": 42496
514
+ },
515
+ {
516
+ "epoch": 0.01,
517
+ "learning_rate": 4.929584246997602e-05,
518
+ "loss": 4.3884,
519
+ "step": 43008
520
+ },
521
+ {
522
+ "epoch": 0.01,
523
+ "learning_rate": 4.92874565224655e-05,
524
+ "loss": 4.4021,
525
+ "step": 43520
526
+ },
527
+ {
528
+ "epoch": 0.01,
529
+ "learning_rate": 4.927907057495498e-05,
530
+ "loss": 4.406,
531
+ "step": 44032
532
+ },
533
+ {
534
+ "epoch": 0.01,
535
+ "learning_rate": 4.927068462744446e-05,
536
+ "loss": 4.3941,
537
+ "step": 44544
538
+ },
539
+ {
540
+ "epoch": 0.01,
541
+ "learning_rate": 4.926229867993394e-05,
542
+ "loss": 4.3996,
543
+ "step": 45056
544
+ },
545
+ {
546
+ "epoch": 0.01,
547
+ "learning_rate": 4.925392911122715e-05,
548
+ "loss": 4.3806,
549
+ "step": 45568
550
+ },
551
+ {
552
+ "epoch": 0.02,
553
+ "learning_rate": 4.924554316371663e-05,
554
+ "loss": 4.3806,
555
+ "step": 46080
556
+ },
557
+ {
558
+ "epoch": 0.02,
559
+ "learning_rate": 4.923715721620611e-05,
560
+ "loss": 4.3754,
561
+ "step": 46592
562
+ },
563
+ {
564
+ "epoch": 0.02,
565
+ "learning_rate": 4.922878764749932e-05,
566
+ "loss": 4.3734,
567
+ "step": 47104
568
+ },
569
+ {
570
+ "epoch": 0.02,
571
+ "learning_rate": 4.92204016999888e-05,
572
+ "loss": 4.3795,
573
+ "step": 47616
574
+ },
575
+ {
576
+ "epoch": 0.02,
577
+ "learning_rate": 4.921201575247828e-05,
578
+ "loss": 4.3668,
579
+ "step": 48128
580
+ },
581
+ {
582
+ "epoch": 0.02,
583
+ "learning_rate": 4.920362980496776e-05,
584
+ "loss": 4.3828,
585
+ "step": 48640
586
+ },
587
+ {
588
+ "epoch": 0.02,
589
+ "learning_rate": 4.919524385745724e-05,
590
+ "loss": 4.3664,
591
+ "step": 49152
592
+ },
593
+ {
594
+ "epoch": 0.02,
595
+ "learning_rate": 4.918685790994672e-05,
596
+ "loss": 4.3492,
597
+ "step": 49664
598
+ },
599
+ {
600
+ "epoch": 0.02,
601
+ "learning_rate": 4.91784719624362e-05,
602
+ "loss": 4.3528,
603
+ "step": 50176
604
+ },
605
+ {
606
+ "epoch": 0.02,
607
+ "learning_rate": 4.9170086014925676e-05,
608
+ "loss": 4.3598,
609
+ "step": 50688
610
+ },
611
+ {
612
+ "epoch": 0.02,
613
+ "learning_rate": 4.916171644621889e-05,
614
+ "loss": 4.3504,
615
+ "step": 51200
616
+ },
617
+ {
618
+ "epoch": 0.02,
619
+ "learning_rate": 4.915333049870837e-05,
620
+ "loss": 4.3481,
621
+ "step": 51712
622
+ },
623
+ {
624
+ "epoch": 0.02,
625
+ "learning_rate": 4.914494455119785e-05,
626
+ "loss": 4.3471,
627
+ "step": 52224
628
+ },
629
+ {
630
+ "epoch": 0.02,
631
+ "learning_rate": 4.9136558603687325e-05,
632
+ "loss": 4.3356,
633
+ "step": 52736
634
+ },
635
+ {
636
+ "epoch": 0.02,
637
+ "learning_rate": 4.9128172656176805e-05,
638
+ "loss": 4.3382,
639
+ "step": 53248
640
+ },
641
+ {
642
+ "epoch": 0.02,
643
+ "learning_rate": 4.9119786708666285e-05,
644
+ "loss": 4.3182,
645
+ "step": 53760
646
+ },
647
+ {
648
+ "epoch": 0.02,
649
+ "learning_rate": 4.9111400761155765e-05,
650
+ "loss": 4.324,
651
+ "step": 54272
652
+ },
653
+ {
654
+ "epoch": 0.02,
655
+ "learning_rate": 4.910303119244898e-05,
656
+ "loss": 4.3292,
657
+ "step": 54784
658
+ },
659
+ {
660
+ "epoch": 0.02,
661
+ "learning_rate": 4.909464524493846e-05,
662
+ "loss": 4.3239,
663
+ "step": 55296
664
+ },
665
+ {
666
+ "epoch": 0.02,
667
+ "learning_rate": 4.908625929742794e-05,
668
+ "loss": 4.3165,
669
+ "step": 55808
670
+ },
671
+ {
672
+ "epoch": 0.02,
673
+ "learning_rate": 4.907787334991742e-05,
674
+ "loss": 4.3255,
675
+ "step": 56320
676
+ },
677
+ {
678
+ "epoch": 0.02,
679
+ "learning_rate": 4.90694874024069e-05,
680
+ "loss": 4.3005,
681
+ "step": 56832
682
+ },
683
+ {
684
+ "epoch": 0.02,
685
+ "learning_rate": 4.906110145489638e-05,
686
+ "loss": 4.3115,
687
+ "step": 57344
688
+ },
689
+ {
690
+ "epoch": 0.02,
691
+ "learning_rate": 4.905273188618959e-05,
692
+ "loss": 4.3071,
693
+ "step": 57856
694
+ },
695
+ {
696
+ "epoch": 0.02,
697
+ "learning_rate": 4.904434593867907e-05,
698
+ "loss": 4.3115,
699
+ "step": 58368
700
+ },
701
+ {
702
+ "epoch": 0.02,
703
+ "learning_rate": 4.903595999116855e-05,
704
+ "loss": 4.3189,
705
+ "step": 58880
706
+ },
707
+ {
708
+ "epoch": 0.02,
709
+ "learning_rate": 4.902757404365803e-05,
710
+ "loss": 4.3064,
711
+ "step": 59392
712
+ },
713
+ {
714
+ "epoch": 0.02,
715
+ "learning_rate": 4.901920447495124e-05,
716
+ "loss": 4.2984,
717
+ "step": 59904
718
+ },
719
+ {
720
+ "epoch": 0.02,
721
+ "learning_rate": 4.901081852744072e-05,
722
+ "loss": 4.2937,
723
+ "step": 60416
724
+ },
725
+ {
726
+ "epoch": 0.02,
727
+ "learning_rate": 4.90024325799302e-05,
728
+ "loss": 4.2998,
729
+ "step": 60928
730
+ },
731
+ {
732
+ "epoch": 0.02,
733
+ "learning_rate": 4.8994046632419686e-05,
734
+ "loss": 4.2947,
735
+ "step": 61440
736
+ },
737
+ {
738
+ "epoch": 0.02,
739
+ "learning_rate": 4.8985660684909166e-05,
740
+ "loss": 4.2915,
741
+ "step": 61952
742
+ },
743
+ {
744
+ "epoch": 0.02,
745
+ "learning_rate": 4.8977274737398646e-05,
746
+ "loss": 4.2846,
747
+ "step": 62464
748
+ },
749
+ {
750
+ "epoch": 0.02,
751
+ "learning_rate": 4.8968888789888125e-05,
752
+ "loss": 4.2819,
753
+ "step": 62976
754
+ },
755
+ {
756
+ "epoch": 0.02,
757
+ "learning_rate": 4.8960519221181335e-05,
758
+ "loss": 4.2823,
759
+ "step": 63488
760
+ },
761
+ {
762
+ "epoch": 0.02,
763
+ "learning_rate": 4.8952133273670815e-05,
764
+ "loss": 4.2714,
765
+ "step": 64000
766
+ },
767
+ {
768
+ "epoch": 0.02,
769
+ "learning_rate": 4.8943747326160294e-05,
770
+ "loss": 4.277,
771
+ "step": 64512
772
+ },
773
+ {
774
+ "epoch": 0.02,
775
+ "learning_rate": 4.8935361378649774e-05,
776
+ "loss": 4.2747,
777
+ "step": 65024
778
+ },
779
+ {
780
+ "epoch": 0.02,
781
+ "learning_rate": 4.8926991809942984e-05,
782
+ "loss": 4.271,
783
+ "step": 65536
784
+ },
785
+ {
786
+ "epoch": 0.02,
787
+ "learning_rate": 4.8918605862432463e-05,
788
+ "loss": 4.2606,
789
+ "step": 66048
790
+ },
791
+ {
792
+ "epoch": 0.02,
793
+ "learning_rate": 4.8910219914921943e-05,
794
+ "loss": 4.279,
795
+ "step": 66560
796
+ },
797
+ {
798
+ "epoch": 0.02,
799
+ "learning_rate": 4.8901833967411423e-05,
800
+ "loss": 4.2791,
801
+ "step": 67072
802
+ },
803
+ {
804
+ "epoch": 0.02,
805
+ "learning_rate": 4.88934480199009e-05,
806
+ "loss": 4.2664,
807
+ "step": 67584
808
+ },
809
+ {
810
+ "epoch": 0.02,
811
+ "learning_rate": 4.888507845119412e-05,
812
+ "loss": 4.2571,
813
+ "step": 68096
814
+ },
815
+ {
816
+ "epoch": 0.02,
817
+ "learning_rate": 4.88766925036836e-05,
818
+ "loss": 4.2637,
819
+ "step": 68608
820
+ },
821
+ {
822
+ "epoch": 0.02,
823
+ "learning_rate": 4.886830655617308e-05,
824
+ "loss": 4.2635,
825
+ "step": 69120
826
+ },
827
+ {
828
+ "epoch": 0.02,
829
+ "learning_rate": 4.885992060866256e-05,
830
+ "loss": 4.2636,
831
+ "step": 69632
832
+ },
833
+ {
834
+ "epoch": 0.02,
835
+ "learning_rate": 4.885153466115204e-05,
836
+ "loss": 4.2589,
837
+ "step": 70144
838
+ },
839
+ {
840
+ "epoch": 0.02,
841
+ "learning_rate": 4.884314871364151e-05,
842
+ "loss": 4.2573,
843
+ "step": 70656
844
+ },
845
+ {
846
+ "epoch": 0.02,
847
+ "learning_rate": 4.883477914493473e-05,
848
+ "loss": 4.2537,
849
+ "step": 71168
850
+ },
851
+ {
852
+ "epoch": 0.02,
853
+ "learning_rate": 4.882639319742421e-05,
854
+ "loss": 4.2512,
855
+ "step": 71680
856
+ },
857
+ {
858
+ "epoch": 0.02,
859
+ "learning_rate": 4.881800724991369e-05,
860
+ "loss": 4.2461,
861
+ "step": 72192
862
+ },
863
+ {
864
+ "epoch": 0.02,
865
+ "learning_rate": 4.880962130240316e-05,
866
+ "loss": 4.2477,
867
+ "step": 72704
868
+ },
869
+ {
870
+ "epoch": 0.02,
871
+ "learning_rate": 4.880123535489264e-05,
872
+ "loss": 4.239,
873
+ "step": 73216
874
+ },
875
+ {
876
+ "epoch": 0.02,
877
+ "learning_rate": 4.879286578618586e-05,
878
+ "loss": 4.2339,
879
+ "step": 73728
880
+ },
881
+ {
882
+ "epoch": 0.02,
883
+ "learning_rate": 4.878447983867534e-05,
884
+ "loss": 4.2479,
885
+ "step": 74240
886
+ },
887
+ {
888
+ "epoch": 0.02,
889
+ "learning_rate": 4.877609389116482e-05,
890
+ "loss": 4.2322,
891
+ "step": 74752
892
+ },
893
+ {
894
+ "epoch": 0.02,
895
+ "learning_rate": 4.87677079436543e-05,
896
+ "loss": 4.2427,
897
+ "step": 75264
898
+ },
899
+ {
900
+ "epoch": 0.02,
901
+ "learning_rate": 4.875932199614378e-05,
902
+ "loss": 4.2285,
903
+ "step": 75776
904
+ },
905
+ {
906
+ "epoch": 0.02,
907
+ "learning_rate": 4.875093604863326e-05,
908
+ "loss": 4.2223,
909
+ "step": 76288
910
+ },
911
+ {
912
+ "epoch": 0.03,
913
+ "eval_loss": 4.196377277374268,
914
+ "eval_runtime": 306.8923,
915
+ "eval_samples_per_second": 1243.404,
916
+ "eval_steps_per_second": 38.857,
917
+ "step": 76320
918
+ },
919
+ {
920
+ "epoch": 1.0,
921
+ "learning_rate": 4.874255010112274e-05,
922
+ "loss": 4.2163,
923
+ "step": 76800
924
+ },
925
+ {
926
+ "epoch": 1.0,
927
+ "learning_rate": 4.873416415361222e-05,
928
+ "loss": 4.2165,
929
+ "step": 77312
930
+ },
931
+ {
932
+ "epoch": 1.0,
933
+ "learning_rate": 4.8725794584905426e-05,
934
+ "loss": 4.2265,
935
+ "step": 77824
936
+ },
937
+ {
938
+ "epoch": 1.0,
939
+ "learning_rate": 4.8717408637394906e-05,
940
+ "loss": 4.2193,
941
+ "step": 78336
942
+ },
943
+ {
944
+ "epoch": 1.0,
945
+ "learning_rate": 4.8709022689884386e-05,
946
+ "loss": 4.2205,
947
+ "step": 78848
948
+ },
949
+ {
950
+ "epoch": 1.0,
951
+ "learning_rate": 4.8700636742373866e-05,
952
+ "loss": 4.21,
953
+ "step": 79360
954
+ },
955
+ {
956
+ "epoch": 1.0,
957
+ "learning_rate": 4.8692267173667075e-05,
958
+ "loss": 4.2079,
959
+ "step": 79872
960
+ },
961
+ {
962
+ "epoch": 1.0,
963
+ "learning_rate": 4.8683881226156555e-05,
964
+ "loss": 4.1989,
965
+ "step": 80384
966
+ },
967
+ {
968
+ "epoch": 1.0,
969
+ "learning_rate": 4.867549527864604e-05,
970
+ "loss": 4.2145,
971
+ "step": 80896
972
+ },
973
+ {
974
+ "epoch": 1.0,
975
+ "learning_rate": 4.866710933113552e-05,
976
+ "loss": 4.2058,
977
+ "step": 81408
978
+ },
979
+ {
980
+ "epoch": 1.0,
981
+ "learning_rate": 4.8658723383625e-05,
982
+ "loss": 4.2166,
983
+ "step": 81920
984
+ },
985
+ {
986
+ "epoch": 1.0,
987
+ "learning_rate": 4.865033743611448e-05,
988
+ "loss": 4.1978,
989
+ "step": 82432
990
+ },
991
+ {
992
+ "epoch": 1.0,
993
+ "learning_rate": 4.864196786740769e-05,
994
+ "loss": 4.1944,
995
+ "step": 82944
996
+ },
997
+ {
998
+ "epoch": 1.0,
999
+ "learning_rate": 4.863358191989717e-05,
1000
+ "loss": 4.1892,
1001
+ "step": 83456
1002
+ },
1003
+ {
1004
+ "epoch": 1.0,
1005
+ "learning_rate": 4.862519597238665e-05,
1006
+ "loss": 4.1842,
1007
+ "step": 83968
1008
+ },
1009
+ {
1010
+ "epoch": 1.0,
1011
+ "learning_rate": 4.861681002487613e-05,
1012
+ "loss": 4.1853,
1013
+ "step": 84480
1014
+ },
1015
+ {
1016
+ "epoch": 1.0,
1017
+ "learning_rate": 4.860842407736561e-05,
1018
+ "loss": 4.1941,
1019
+ "step": 84992
1020
+ },
1021
+ {
1022
+ "epoch": 1.0,
1023
+ "learning_rate": 4.860003812985509e-05,
1024
+ "loss": 4.1816,
1025
+ "step": 85504
1026
+ },
1027
+ {
1028
+ "epoch": 1.0,
1029
+ "learning_rate": 4.859165218234457e-05,
1030
+ "loss": 4.1797,
1031
+ "step": 86016
1032
+ },
1033
+ {
1034
+ "epoch": 1.0,
1035
+ "learning_rate": 4.858328261363778e-05,
1036
+ "loss": 4.1999,
1037
+ "step": 86528
1038
+ },
1039
+ {
1040
+ "epoch": 1.0,
1041
+ "learning_rate": 4.8574913044930995e-05,
1042
+ "loss": 4.1844,
1043
+ "step": 87040
1044
+ },
1045
+ {
1046
+ "epoch": 1.0,
1047
+ "learning_rate": 4.8566527097420475e-05,
1048
+ "loss": 4.1862,
1049
+ "step": 87552
1050
+ },
1051
+ {
1052
+ "epoch": 1.0,
1053
+ "learning_rate": 4.8558141149909955e-05,
1054
+ "loss": 4.1753,
1055
+ "step": 88064
1056
+ },
1057
+ {
1058
+ "epoch": 1.0,
1059
+ "learning_rate": 4.8549755202399435e-05,
1060
+ "loss": 4.1852,
1061
+ "step": 88576
1062
+ },
1063
+ {
1064
+ "epoch": 1.0,
1065
+ "learning_rate": 4.8541369254888915e-05,
1066
+ "loss": 4.1707,
1067
+ "step": 89088
1068
+ },
1069
+ {
1070
+ "epoch": 1.0,
1071
+ "learning_rate": 4.8532983307378395e-05,
1072
+ "loss": 4.172,
1073
+ "step": 89600
1074
+ },
1075
+ {
1076
+ "epoch": 1.0,
1077
+ "learning_rate": 4.8524597359867875e-05,
1078
+ "loss": 4.1704,
1079
+ "step": 90112
1080
+ },
1081
+ {
1082
+ "epoch": 1.0,
1083
+ "learning_rate": 4.851621141235735e-05,
1084
+ "loss": 4.1637,
1085
+ "step": 90624
1086
+ },
1087
+ {
1088
+ "epoch": 1.0,
1089
+ "learning_rate": 4.8507841843650564e-05,
1090
+ "loss": 4.1582,
1091
+ "step": 91136
1092
+ },
1093
+ {
1094
+ "epoch": 1.01,
1095
+ "learning_rate": 4.8499455896140044e-05,
1096
+ "loss": 4.1592,
1097
+ "step": 91648
1098
+ },
1099
+ {
1100
+ "epoch": 1.01,
1101
+ "learning_rate": 4.849110270623698e-05,
1102
+ "loss": 4.1676,
1103
+ "step": 92160
1104
+ },
1105
+ {
1106
+ "epoch": 1.01,
1107
+ "learning_rate": 4.848271675872646e-05,
1108
+ "loss": 4.1664,
1109
+ "step": 92672
1110
+ },
1111
+ {
1112
+ "epoch": 1.01,
1113
+ "learning_rate": 4.847433081121595e-05,
1114
+ "loss": 4.158,
1115
+ "step": 93184
1116
+ },
1117
+ {
1118
+ "epoch": 1.01,
1119
+ "learning_rate": 4.846594486370543e-05,
1120
+ "loss": 4.166,
1121
+ "step": 93696
1122
+ },
1123
+ {
1124
+ "epoch": 1.01,
1125
+ "learning_rate": 4.845755891619491e-05,
1126
+ "loss": 4.1614,
1127
+ "step": 94208
1128
+ },
1129
+ {
1130
+ "epoch": 1.01,
1131
+ "learning_rate": 4.844917296868439e-05,
1132
+ "loss": 4.1609,
1133
+ "step": 94720
1134
+ },
1135
+ {
1136
+ "epoch": 1.01,
1137
+ "learning_rate": 4.844078702117387e-05,
1138
+ "loss": 4.1469,
1139
+ "step": 95232
1140
+ },
1141
+ {
1142
+ "epoch": 1.01,
1143
+ "learning_rate": 4.843240107366335e-05,
1144
+ "loss": 4.1482,
1145
+ "step": 95744
1146
+ },
1147
+ {
1148
+ "epoch": 1.01,
1149
+ "learning_rate": 4.842401512615282e-05,
1150
+ "loss": 4.1377,
1151
+ "step": 96256
1152
+ },
1153
+ {
1154
+ "epoch": 1.01,
1155
+ "learning_rate": 4.841564555744604e-05,
1156
+ "loss": 4.1503,
1157
+ "step": 96768
1158
+ },
1159
+ {
1160
+ "epoch": 1.01,
1161
+ "learning_rate": 4.840725960993552e-05,
1162
+ "loss": 4.1356,
1163
+ "step": 97280
1164
+ },
1165
+ {
1166
+ "epoch": 1.01,
1167
+ "learning_rate": 4.8398873662425e-05,
1168
+ "loss": 4.1489,
1169
+ "step": 97792
1170
+ },
1171
+ {
1172
+ "epoch": 1.01,
1173
+ "learning_rate": 4.839048771491447e-05,
1174
+ "loss": 4.1375,
1175
+ "step": 98304
1176
+ },
1177
+ {
1178
+ "epoch": 1.01,
1179
+ "learning_rate": 4.838210176740395e-05,
1180
+ "loss": 4.1372,
1181
+ "step": 98816
1182
+ },
1183
+ {
1184
+ "epoch": 1.01,
1185
+ "learning_rate": 4.8373732198697167e-05,
1186
+ "loss": 4.1404,
1187
+ "step": 99328
1188
+ },
1189
+ {
1190
+ "epoch": 1.01,
1191
+ "learning_rate": 4.8365346251186646e-05,
1192
+ "loss": 4.1359,
1193
+ "step": 99840
1194
+ },
1195
+ {
1196
+ "epoch": 1.01,
1197
+ "learning_rate": 4.8356960303676126e-05,
1198
+ "loss": 4.1338,
1199
+ "step": 100352
1200
+ },
1201
+ {
1202
+ "epoch": 1.01,
1203
+ "learning_rate": 4.8348574356165606e-05,
1204
+ "loss": 4.1203,
1205
+ "step": 100864
1206
+ },
1207
+ {
1208
+ "epoch": 1.01,
1209
+ "learning_rate": 4.834020478745882e-05,
1210
+ "loss": 4.1251,
1211
+ "step": 101376
1212
+ },
1213
+ {
1214
+ "epoch": 1.01,
1215
+ "learning_rate": 4.8331818839948295e-05,
1216
+ "loss": 4.1366,
1217
+ "step": 101888
1218
+ },
1219
+ {
1220
+ "epoch": 1.01,
1221
+ "learning_rate": 4.8323432892437775e-05,
1222
+ "loss": 4.1329,
1223
+ "step": 102400
1224
+ },
1225
+ {
1226
+ "epoch": 1.01,
1227
+ "learning_rate": 4.8315046944927255e-05,
1228
+ "loss": 4.124,
1229
+ "step": 102912
1230
+ },
1231
+ {
1232
+ "epoch": 1.01,
1233
+ "learning_rate": 4.8306660997416735e-05,
1234
+ "loss": 4.1146,
1235
+ "step": 103424
1236
+ },
1237
+ {
1238
+ "epoch": 1.01,
1239
+ "learning_rate": 4.8298291428709944e-05,
1240
+ "loss": 4.1228,
1241
+ "step": 103936
1242
+ },
1243
+ {
1244
+ "epoch": 1.01,
1245
+ "learning_rate": 4.8289905481199424e-05,
1246
+ "loss": 4.1109,
1247
+ "step": 104448
1248
+ },
1249
+ {
1250
+ "epoch": 1.01,
1251
+ "learning_rate": 4.8281519533688904e-05,
1252
+ "loss": 4.1329,
1253
+ "step": 104960
1254
+ },
1255
+ {
1256
+ "epoch": 1.01,
1257
+ "learning_rate": 4.8273133586178384e-05,
1258
+ "loss": 4.1051,
1259
+ "step": 105472
1260
+ },
1261
+ {
1262
+ "epoch": 1.01,
1263
+ "learning_rate": 4.826474763866787e-05,
1264
+ "loss": 4.1251,
1265
+ "step": 105984
1266
+ },
1267
+ {
1268
+ "epoch": 1.01,
1269
+ "learning_rate": 4.825637806996108e-05,
1270
+ "loss": 4.1189,
1271
+ "step": 106496
1272
+ },
1273
+ {
1274
+ "epoch": 1.01,
1275
+ "learning_rate": 4.824799212245056e-05,
1276
+ "loss": 4.1047,
1277
+ "step": 107008
1278
+ },
1279
+ {
1280
+ "epoch": 1.01,
1281
+ "learning_rate": 4.823960617494004e-05,
1282
+ "loss": 4.1166,
1283
+ "step": 107520
1284
+ },
1285
+ {
1286
+ "epoch": 1.01,
1287
+ "learning_rate": 4.823122022742952e-05,
1288
+ "loss": 4.11,
1289
+ "step": 108032
1290
+ },
1291
+ {
1292
+ "epoch": 1.01,
1293
+ "learning_rate": 4.8222834279919e-05,
1294
+ "loss": 4.1003,
1295
+ "step": 108544
1296
+ },
1297
+ {
1298
+ "epoch": 1.01,
1299
+ "learning_rate": 4.821446471121221e-05,
1300
+ "loss": 4.101,
1301
+ "step": 109056
1302
+ },
1303
+ {
1304
+ "epoch": 1.01,
1305
+ "learning_rate": 4.820607876370169e-05,
1306
+ "loss": 4.1148,
1307
+ "step": 109568
1308
+ },
1309
+ {
1310
+ "epoch": 1.01,
1311
+ "learning_rate": 4.819769281619117e-05,
1312
+ "loss": 4.1036,
1313
+ "step": 110080
1314
+ },
1315
+ {
1316
+ "epoch": 1.01,
1317
+ "learning_rate": 4.818930686868065e-05,
1318
+ "loss": 4.1005,
1319
+ "step": 110592
1320
+ },
1321
+ {
1322
+ "epoch": 1.01,
1323
+ "learning_rate": 4.818093729997386e-05,
1324
+ "loss": 4.0983,
1325
+ "step": 111104
1326
+ },
1327
+ {
1328
+ "epoch": 1.01,
1329
+ "learning_rate": 4.817255135246334e-05,
1330
+ "loss": 4.0941,
1331
+ "step": 111616
1332
+ },
1333
+ {
1334
+ "epoch": 1.01,
1335
+ "learning_rate": 4.816416540495282e-05,
1336
+ "loss": 4.1028,
1337
+ "step": 112128
1338
+ },
1339
+ {
1340
+ "epoch": 1.01,
1341
+ "learning_rate": 4.8155779457442305e-05,
1342
+ "loss": 4.1173,
1343
+ "step": 112640
1344
+ },
1345
+ {
1346
+ "epoch": 1.01,
1347
+ "learning_rate": 4.8147393509931785e-05,
1348
+ "loss": 4.0947,
1349
+ "step": 113152
1350
+ },
1351
+ {
1352
+ "epoch": 1.01,
1353
+ "learning_rate": 4.8139023941224994e-05,
1354
+ "loss": 4.1104,
1355
+ "step": 113664
1356
+ },
1357
+ {
1358
+ "epoch": 1.01,
1359
+ "learning_rate": 4.8130637993714474e-05,
1360
+ "loss": 4.1093,
1361
+ "step": 114176
1362
+ },
1363
+ {
1364
+ "epoch": 1.01,
1365
+ "learning_rate": 4.8122252046203954e-05,
1366
+ "loss": 4.0994,
1367
+ "step": 114688
1368
+ },
1369
+ {
1370
+ "epoch": 1.01,
1371
+ "learning_rate": 4.8113866098693434e-05,
1372
+ "loss": 4.0894,
1373
+ "step": 115200
1374
+ },
1375
+ {
1376
+ "epoch": 1.01,
1377
+ "learning_rate": 4.810549652998664e-05,
1378
+ "loss": 4.1022,
1379
+ "step": 115712
1380
+ },
1381
+ {
1382
+ "epoch": 1.01,
1383
+ "learning_rate": 4.809711058247612e-05,
1384
+ "loss": 4.0984,
1385
+ "step": 116224
1386
+ },
1387
+ {
1388
+ "epoch": 1.01,
1389
+ "learning_rate": 4.80887246349656e-05,
1390
+ "loss": 4.0893,
1391
+ "step": 116736
1392
+ },
1393
+ {
1394
+ "epoch": 1.01,
1395
+ "learning_rate": 4.808033868745508e-05,
1396
+ "loss": 4.0905,
1397
+ "step": 117248
1398
+ },
1399
+ {
1400
+ "epoch": 1.01,
1401
+ "learning_rate": 4.807196911874829e-05,
1402
+ "loss": 4.0945,
1403
+ "step": 117760
1404
+ },
1405
+ {
1406
+ "epoch": 1.01,
1407
+ "learning_rate": 4.806358317123777e-05,
1408
+ "loss": 4.1003,
1409
+ "step": 118272
1410
+ },
1411
+ {
1412
+ "epoch": 1.01,
1413
+ "learning_rate": 4.805519722372726e-05,
1414
+ "loss": 4.0885,
1415
+ "step": 118784
1416
+ },
1417
+ {
1418
+ "epoch": 1.01,
1419
+ "learning_rate": 4.804681127621674e-05,
1420
+ "loss": 4.0734,
1421
+ "step": 119296
1422
+ },
1423
+ {
1424
+ "epoch": 1.01,
1425
+ "learning_rate": 4.803844170750995e-05,
1426
+ "loss": 4.0813,
1427
+ "step": 119808
1428
+ },
1429
+ {
1430
+ "epoch": 1.01,
1431
+ "learning_rate": 4.803005575999943e-05,
1432
+ "loss": 4.0892,
1433
+ "step": 120320
1434
+ },
1435
+ {
1436
+ "epoch": 1.01,
1437
+ "learning_rate": 4.802166981248891e-05,
1438
+ "loss": 4.0851,
1439
+ "step": 120832
1440
+ },
1441
+ {
1442
+ "epoch": 1.01,
1443
+ "learning_rate": 4.801328386497839e-05,
1444
+ "loss": 4.0895,
1445
+ "step": 121344
1446
+ },
1447
+ {
1448
+ "epoch": 1.01,
1449
+ "learning_rate": 4.8004914296271596e-05,
1450
+ "loss": 4.0757,
1451
+ "step": 121856
1452
+ },
1453
+ {
1454
+ "epoch": 1.02,
1455
+ "learning_rate": 4.7996528348761076e-05,
1456
+ "loss": 4.0717,
1457
+ "step": 122368
1458
+ },
1459
+ {
1460
+ "epoch": 1.02,
1461
+ "learning_rate": 4.7988142401250556e-05,
1462
+ "loss": 4.0725,
1463
+ "step": 122880
1464
+ },
1465
+ {
1466
+ "epoch": 1.02,
1467
+ "learning_rate": 4.7979756453740036e-05,
1468
+ "loss": 4.0767,
1469
+ "step": 123392
1470
+ },
1471
+ {
1472
+ "epoch": 1.02,
1473
+ "learning_rate": 4.7971386885033245e-05,
1474
+ "loss": 4.0792,
1475
+ "step": 123904
1476
+ },
1477
+ {
1478
+ "epoch": 1.02,
1479
+ "learning_rate": 4.7963000937522725e-05,
1480
+ "loss": 4.0746,
1481
+ "step": 124416
1482
+ },
1483
+ {
1484
+ "epoch": 1.02,
1485
+ "learning_rate": 4.795463136881594e-05,
1486
+ "loss": 4.0931,
1487
+ "step": 124928
1488
+ },
1489
+ {
1490
+ "epoch": 1.02,
1491
+ "learning_rate": 4.794624542130542e-05,
1492
+ "loss": 4.0785,
1493
+ "step": 125440
1494
+ },
1495
+ {
1496
+ "epoch": 1.02,
1497
+ "learning_rate": 4.79378594737949e-05,
1498
+ "loss": 4.0617,
1499
+ "step": 125952
1500
+ },
1501
+ {
1502
+ "epoch": 1.02,
1503
+ "learning_rate": 4.792947352628438e-05,
1504
+ "loss": 4.0713,
1505
+ "step": 126464
1506
+ },
1507
+ {
1508
+ "epoch": 1.02,
1509
+ "learning_rate": 4.792108757877386e-05,
1510
+ "loss": 4.0731,
1511
+ "step": 126976
1512
+ },
1513
+ {
1514
+ "epoch": 1.02,
1515
+ "learning_rate": 4.791270163126334e-05,
1516
+ "loss": 4.0726,
1517
+ "step": 127488
1518
+ },
1519
+ {
1520
+ "epoch": 1.02,
1521
+ "learning_rate": 4.790431568375282e-05,
1522
+ "loss": 4.0717,
1523
+ "step": 128000
1524
+ },
1525
+ {
1526
+ "epoch": 1.02,
1527
+ "learning_rate": 4.78959297362423e-05,
1528
+ "loss": 4.0686,
1529
+ "step": 128512
1530
+ },
1531
+ {
1532
+ "epoch": 1.02,
1533
+ "learning_rate": 4.788756016753551e-05,
1534
+ "loss": 4.0607,
1535
+ "step": 129024
1536
+ },
1537
+ {
1538
+ "epoch": 1.02,
1539
+ "learning_rate": 4.787917422002499e-05,
1540
+ "loss": 4.0708,
1541
+ "step": 129536
1542
+ },
1543
+ {
1544
+ "epoch": 1.02,
1545
+ "learning_rate": 4.787078827251447e-05,
1546
+ "loss": 4.0472,
1547
+ "step": 130048
1548
+ },
1549
+ {
1550
+ "epoch": 1.02,
1551
+ "learning_rate": 4.786240232500395e-05,
1552
+ "loss": 4.0587,
1553
+ "step": 130560
1554
+ },
1555
+ {
1556
+ "epoch": 1.02,
1557
+ "learning_rate": 4.7854032756297166e-05,
1558
+ "loss": 4.0586,
1559
+ "step": 131072
1560
+ },
1561
+ {
1562
+ "epoch": 1.02,
1563
+ "learning_rate": 4.7845646808786646e-05,
1564
+ "loss": 4.0626,
1565
+ "step": 131584
1566
+ },
1567
+ {
1568
+ "epoch": 1.02,
1569
+ "learning_rate": 4.7837260861276126e-05,
1570
+ "loss": 4.0525,
1571
+ "step": 132096
1572
+ },
1573
+ {
1574
+ "epoch": 1.02,
1575
+ "learning_rate": 4.7828874913765606e-05,
1576
+ "loss": 4.0614,
1577
+ "step": 132608
1578
+ },
1579
+ {
1580
+ "epoch": 1.02,
1581
+ "learning_rate": 4.782048896625508e-05,
1582
+ "loss": 4.0475,
1583
+ "step": 133120
1584
+ },
1585
+ {
1586
+ "epoch": 1.02,
1587
+ "learning_rate": 4.781210301874456e-05,
1588
+ "loss": 4.0531,
1589
+ "step": 133632
1590
+ },
1591
+ {
1592
+ "epoch": 1.02,
1593
+ "learning_rate": 4.7803733450037775e-05,
1594
+ "loss": 4.0525,
1595
+ "step": 134144
1596
+ },
1597
+ {
1598
+ "epoch": 1.02,
1599
+ "learning_rate": 4.779534750252725e-05,
1600
+ "loss": 4.0539,
1601
+ "step": 134656
1602
+ },
1603
+ {
1604
+ "epoch": 1.02,
1605
+ "learning_rate": 4.778696155501673e-05,
1606
+ "loss": 4.0702,
1607
+ "step": 135168
1608
+ },
1609
+ {
1610
+ "epoch": 1.02,
1611
+ "learning_rate": 4.777857560750621e-05,
1612
+ "loss": 4.0595,
1613
+ "step": 135680
1614
+ },
1615
+ {
1616
+ "epoch": 1.02,
1617
+ "learning_rate": 4.7770206038799423e-05,
1618
+ "loss": 4.0532,
1619
+ "step": 136192
1620
+ },
1621
+ {
1622
+ "epoch": 1.02,
1623
+ "learning_rate": 4.7761820091288903e-05,
1624
+ "loss": 4.0492,
1625
+ "step": 136704
1626
+ },
1627
+ {
1628
+ "epoch": 1.02,
1629
+ "learning_rate": 4.7753434143778383e-05,
1630
+ "loss": 4.0514,
1631
+ "step": 137216
1632
+ },
1633
+ {
1634
+ "epoch": 1.02,
1635
+ "learning_rate": 4.774504819626786e-05,
1636
+ "loss": 4.0508,
1637
+ "step": 137728
1638
+ },
1639
+ {
1640
+ "epoch": 1.02,
1641
+ "learning_rate": 4.773666224875734e-05,
1642
+ "loss": 4.0468,
1643
+ "step": 138240
1644
+ },
1645
+ {
1646
+ "epoch": 1.02,
1647
+ "learning_rate": 4.772827630124682e-05,
1648
+ "loss": 4.0447,
1649
+ "step": 138752
1650
+ },
1651
+ {
1652
+ "epoch": 1.02,
1653
+ "learning_rate": 4.77198903537363e-05,
1654
+ "loss": 4.043,
1655
+ "step": 139264
1656
+ },
1657
+ {
1658
+ "epoch": 1.02,
1659
+ "learning_rate": 4.771150440622578e-05,
1660
+ "loss": 4.0457,
1661
+ "step": 139776
1662
+ },
1663
+ {
1664
+ "epoch": 1.02,
1665
+ "learning_rate": 4.770313483751899e-05,
1666
+ "loss": 4.0343,
1667
+ "step": 140288
1668
+ },
1669
+ {
1670
+ "epoch": 1.02,
1671
+ "learning_rate": 4.769474889000847e-05,
1672
+ "loss": 4.0423,
1673
+ "step": 140800
1674
+ },
1675
+ {
1676
+ "epoch": 1.02,
1677
+ "learning_rate": 4.768636294249795e-05,
1678
+ "loss": 4.0405,
1679
+ "step": 141312
1680
+ },
1681
+ {
1682
+ "epoch": 1.02,
1683
+ "learning_rate": 4.767799337379116e-05,
1684
+ "loss": 4.0413,
1685
+ "step": 141824
1686
+ },
1687
+ {
1688
+ "epoch": 1.02,
1689
+ "learning_rate": 4.766960742628064e-05,
1690
+ "loss": 4.0288,
1691
+ "step": 142336
1692
+ },
1693
+ {
1694
+ "epoch": 1.02,
1695
+ "learning_rate": 4.766122147877012e-05,
1696
+ "loss": 4.0497,
1697
+ "step": 142848
1698
+ },
1699
+ {
1700
+ "epoch": 1.02,
1701
+ "learning_rate": 4.76528355312596e-05,
1702
+ "loss": 4.0547,
1703
+ "step": 143360
1704
+ },
1705
+ {
1706
+ "epoch": 1.02,
1707
+ "learning_rate": 4.764444958374909e-05,
1708
+ "loss": 4.0394,
1709
+ "step": 143872
1710
+ },
1711
+ {
1712
+ "epoch": 1.02,
1713
+ "learning_rate": 4.763606363623857e-05,
1714
+ "loss": 4.0319,
1715
+ "step": 144384
1716
+ },
1717
+ {
1718
+ "epoch": 1.02,
1719
+ "learning_rate": 4.762767768872805e-05,
1720
+ "loss": 4.0387,
1721
+ "step": 144896
1722
+ },
1723
+ {
1724
+ "epoch": 1.02,
1725
+ "learning_rate": 4.761929174121753e-05,
1726
+ "loss": 4.0416,
1727
+ "step": 145408
1728
+ },
1729
+ {
1730
+ "epoch": 1.02,
1731
+ "learning_rate": 4.761092217251074e-05,
1732
+ "loss": 4.0439,
1733
+ "step": 145920
1734
+ },
1735
+ {
1736
+ "epoch": 1.02,
1737
+ "learning_rate": 4.760253622500022e-05,
1738
+ "loss": 4.0386,
1739
+ "step": 146432
1740
+ },
1741
+ {
1742
+ "epoch": 1.02,
1743
+ "learning_rate": 4.75941502774897e-05,
1744
+ "loss": 4.0385,
1745
+ "step": 146944
1746
+ },
1747
+ {
1748
+ "epoch": 1.02,
1749
+ "learning_rate": 4.758576432997918e-05,
1750
+ "loss": 4.0334,
1751
+ "step": 147456
1752
+ },
1753
+ {
1754
+ "epoch": 1.02,
1755
+ "learning_rate": 4.7577394761272386e-05,
1756
+ "loss": 4.0388,
1757
+ "step": 147968
1758
+ },
1759
+ {
1760
+ "epoch": 1.02,
1761
+ "learning_rate": 4.7569008813761866e-05,
1762
+ "loss": 4.0283,
1763
+ "step": 148480
1764
+ },
1765
+ {
1766
+ "epoch": 1.02,
1767
+ "learning_rate": 4.7560622866251346e-05,
1768
+ "loss": 4.0369,
1769
+ "step": 148992
1770
+ },
1771
+ {
1772
+ "epoch": 1.02,
1773
+ "learning_rate": 4.7552236918740826e-05,
1774
+ "loss": 4.0321,
1775
+ "step": 149504
1776
+ },
1777
+ {
1778
+ "epoch": 1.02,
1779
+ "learning_rate": 4.754388372883777e-05,
1780
+ "loss": 4.0208,
1781
+ "step": 150016
1782
+ },
1783
+ {
1784
+ "epoch": 1.02,
1785
+ "learning_rate": 4.753549778132725e-05,
1786
+ "loss": 4.0379,
1787
+ "step": 150528
1788
+ },
1789
+ {
1790
+ "epoch": 1.02,
1791
+ "learning_rate": 4.752711183381673e-05,
1792
+ "loss": 4.0271,
1793
+ "step": 151040
1794
+ },
1795
+ {
1796
+ "epoch": 1.02,
1797
+ "learning_rate": 4.751872588630621e-05,
1798
+ "loss": 4.0329,
1799
+ "step": 151552
1800
+ },
1801
+ {
1802
+ "epoch": 1.02,
1803
+ "learning_rate": 4.751033993879569e-05,
1804
+ "loss": 4.0203,
1805
+ "step": 152064
1806
+ },
1807
+ {
1808
+ "epoch": 1.02,
1809
+ "learning_rate": 4.750195399128517e-05,
1810
+ "loss": 4.0204,
1811
+ "step": 152576
1812
+ },
1813
+ {
1814
+ "epoch": 1.03,
1815
+ "eval_loss": 4.026838779449463,
1816
+ "eval_runtime": 307.1642,
1817
+ "eval_samples_per_second": 1242.303,
1818
+ "eval_steps_per_second": 38.823,
1819
+ "step": 152640
1820
+ },
1821
+ {
1822
+ "epoch": 0.0,
1823
+ "learning_rate": 4.749356804377465e-05,
1824
+ "loss": 4.0165,
1825
+ "step": 153088
1826
+ },
1827
+ {
1828
+ "epoch": 0.0,
1829
+ "learning_rate": 4.748518209626413e-05,
1830
+ "loss": 4.0099,
1831
+ "step": 153600
1832
+ },
1833
+ {
1834
+ "epoch": 0.0,
1835
+ "learning_rate": 4.747679614875361e-05,
1836
+ "loss": 4.0288,
1837
+ "step": 154112
1838
+ },
1839
+ {
1840
+ "epoch": 0.0,
1841
+ "learning_rate": 4.7468410201243084e-05,
1842
+ "loss": 4.0187,
1843
+ "step": 154624
1844
+ },
1845
+ {
1846
+ "epoch": 0.0,
1847
+ "learning_rate": 4.7460024253732563e-05,
1848
+ "loss": 4.0269,
1849
+ "step": 155136
1850
+ },
1851
+ {
1852
+ "epoch": 0.0,
1853
+ "learning_rate": 4.7451638306222043e-05,
1854
+ "loss": 4.0116,
1855
+ "step": 155648
1856
+ },
1857
+ {
1858
+ "epoch": 0.0,
1859
+ "learning_rate": 4.744325235871152e-05,
1860
+ "loss": 4.0151,
1861
+ "step": 156160
1862
+ },
1863
+ {
1864
+ "epoch": 0.0,
1865
+ "learning_rate": 4.7434866411201e-05,
1866
+ "loss": 4.0018,
1867
+ "step": 156672
1868
+ },
1869
+ {
1870
+ "epoch": 0.0,
1871
+ "learning_rate": 4.742648046369049e-05,
1872
+ "loss": 4.0178,
1873
+ "step": 157184
1874
+ },
1875
+ {
1876
+ "epoch": 0.0,
1877
+ "learning_rate": 4.741809451617997e-05,
1878
+ "loss": 4.0175,
1879
+ "step": 157696
1880
+ },
1881
+ {
1882
+ "epoch": 0.0,
1883
+ "learning_rate": 4.740970856866945e-05,
1884
+ "loss": 4.0197,
1885
+ "step": 158208
1886
+ },
1887
+ {
1888
+ "epoch": 0.0,
1889
+ "learning_rate": 4.740133899996266e-05,
1890
+ "loss": 4.01,
1891
+ "step": 158720
1892
+ },
1893
+ {
1894
+ "epoch": 0.0,
1895
+ "learning_rate": 4.739296943125587e-05,
1896
+ "loss": 4.003,
1897
+ "step": 159232
1898
+ },
1899
+ {
1900
+ "epoch": 0.0,
1901
+ "learning_rate": 4.738458348374535e-05,
1902
+ "loss": 4.0031,
1903
+ "step": 159744
1904
+ },
1905
+ {
1906
+ "epoch": 0.0,
1907
+ "learning_rate": 4.737619753623483e-05,
1908
+ "loss": 3.9992,
1909
+ "step": 160256
1910
+ },
1911
+ {
1912
+ "epoch": 0.0,
1913
+ "learning_rate": 4.736781158872431e-05,
1914
+ "loss": 4.0005,
1915
+ "step": 160768
1916
+ },
1917
+ {
1918
+ "epoch": 0.0,
1919
+ "learning_rate": 4.735942564121379e-05,
1920
+ "loss": 4.0053,
1921
+ "step": 161280
1922
+ },
1923
+ {
1924
+ "epoch": 0.0,
1925
+ "learning_rate": 4.735103969370327e-05,
1926
+ "loss": 3.9983,
1927
+ "step": 161792
1928
+ },
1929
+ {
1930
+ "epoch": 0.0,
1931
+ "learning_rate": 4.734265374619275e-05,
1932
+ "loss": 3.9995,
1933
+ "step": 162304
1934
+ },
1935
+ {
1936
+ "epoch": 0.0,
1937
+ "learning_rate": 4.733428417748596e-05,
1938
+ "loss": 4.021,
1939
+ "step": 162816
1940
+ },
1941
+ {
1942
+ "epoch": 0.0,
1943
+ "learning_rate": 4.7325898229975444e-05,
1944
+ "loss": 4.0019,
1945
+ "step": 163328
1946
+ },
1947
+ {
1948
+ "epoch": 0.0,
1949
+ "learning_rate": 4.7317512282464924e-05,
1950
+ "loss": 4.008,
1951
+ "step": 163840
1952
+ },
1953
+ {
1954
+ "epoch": 0.0,
1955
+ "learning_rate": 4.7309126334954404e-05,
1956
+ "loss": 3.9973,
1957
+ "step": 164352
1958
+ },
1959
+ {
1960
+ "epoch": 0.0,
1961
+ "learning_rate": 4.730075676624761e-05,
1962
+ "loss": 4.0105,
1963
+ "step": 164864
1964
+ },
1965
+ {
1966
+ "epoch": 0.0,
1967
+ "learning_rate": 4.729237081873709e-05,
1968
+ "loss": 3.9884,
1969
+ "step": 165376
1970
+ },
1971
+ {
1972
+ "epoch": 0.0,
1973
+ "learning_rate": 4.728398487122657e-05,
1974
+ "loss": 3.9993,
1975
+ "step": 165888
1976
+ },
1977
+ {
1978
+ "epoch": 0.0,
1979
+ "learning_rate": 4.727559892371605e-05,
1980
+ "loss": 3.9966,
1981
+ "step": 166400
1982
+ },
1983
+ {
1984
+ "epoch": 0.0,
1985
+ "learning_rate": 4.726722935500926e-05,
1986
+ "loss": 3.9928,
1987
+ "step": 166912
1988
+ },
1989
+ {
1990
+ "epoch": 0.0,
1991
+ "learning_rate": 4.725884340749874e-05,
1992
+ "loss": 3.982,
1993
+ "step": 167424
1994
+ },
1995
+ {
1996
+ "epoch": 0.01,
1997
+ "learning_rate": 4.725045745998822e-05,
1998
+ "loss": 3.9886,
1999
+ "step": 167936
2000
+ },
2001
+ {
2002
+ "epoch": 0.01,
2003
+ "learning_rate": 4.724208789128143e-05,
2004
+ "loss": 3.9988,
2005
+ "step": 168448
2006
+ },
2007
+ {
2008
+ "epoch": 0.01,
2009
+ "learning_rate": 4.723370194377091e-05,
2010
+ "loss": 3.9982,
2011
+ "step": 168960
2012
+ },
2013
+ {
2014
+ "epoch": 0.01,
2015
+ "learning_rate": 4.72253159962604e-05,
2016
+ "loss": 3.9927,
2017
+ "step": 169472
2018
+ },
2019
+ {
2020
+ "epoch": 0.01,
2021
+ "learning_rate": 4.721693004874988e-05,
2022
+ "loss": 3.9943,
2023
+ "step": 169984
2024
+ },
2025
+ {
2026
+ "epoch": 0.01,
2027
+ "learning_rate": 4.720854410123936e-05,
2028
+ "loss": 3.9918,
2029
+ "step": 170496
2030
+ },
2031
+ {
2032
+ "epoch": 0.01,
2033
+ "learning_rate": 4.720015815372884e-05,
2034
+ "loss": 3.9957,
2035
+ "step": 171008
2036
+ },
2037
+ {
2038
+ "epoch": 0.01,
2039
+ "learning_rate": 4.719177220621832e-05,
2040
+ "loss": 3.9817,
2041
+ "step": 171520
2042
+ },
2043
+ {
2044
+ "epoch": 0.01,
2045
+ "learning_rate": 4.71833862587078e-05,
2046
+ "loss": 3.9831,
2047
+ "step": 172032
2048
+ },
2049
+ {
2050
+ "epoch": 0.01,
2051
+ "learning_rate": 4.7175016690001006e-05,
2052
+ "loss": 3.9728,
2053
+ "step": 172544
2054
+ },
2055
+ {
2056
+ "epoch": 0.01,
2057
+ "learning_rate": 4.7166630742490486e-05,
2058
+ "loss": 3.9895,
2059
+ "step": 173056
2060
+ },
2061
+ {
2062
+ "epoch": 0.01,
2063
+ "learning_rate": 4.7158244794979966e-05,
2064
+ "loss": 3.9768,
2065
+ "step": 173568
2066
+ },
2067
+ {
2068
+ "epoch": 0.01,
2069
+ "learning_rate": 4.7149858847469446e-05,
2070
+ "loss": 3.9855,
2071
+ "step": 174080
2072
+ },
2073
+ {
2074
+ "epoch": 0.01,
2075
+ "learning_rate": 4.7141489278762655e-05,
2076
+ "loss": 3.9797,
2077
+ "step": 174592
2078
+ },
2079
+ {
2080
+ "epoch": 0.01,
2081
+ "learning_rate": 4.7133103331252135e-05,
2082
+ "loss": 3.9737,
2083
+ "step": 175104
2084
+ },
2085
+ {
2086
+ "epoch": 0.01,
2087
+ "learning_rate": 4.7124717383741615e-05,
2088
+ "loss": 3.9882,
2089
+ "step": 175616
2090
+ },
2091
+ {
2092
+ "epoch": 0.01,
2093
+ "learning_rate": 4.7116331436231095e-05,
2094
+ "loss": 3.9738,
2095
+ "step": 176128
2096
+ },
2097
+ {
2098
+ "epoch": 0.01,
2099
+ "learning_rate": 4.710796186752431e-05,
2100
+ "loss": 3.9772,
2101
+ "step": 176640
2102
+ },
2103
+ {
2104
+ "epoch": 0.01,
2105
+ "learning_rate": 4.709957592001379e-05,
2106
+ "loss": 3.9606,
2107
+ "step": 177152
2108
+ },
2109
+ {
2110
+ "epoch": 0.01,
2111
+ "learning_rate": 4.709118997250327e-05,
2112
+ "loss": 3.9738,
2113
+ "step": 177664
2114
+ },
2115
+ {
2116
+ "epoch": 0.01,
2117
+ "learning_rate": 4.7082804024992744e-05,
2118
+ "loss": 3.9805,
2119
+ "step": 178176
2120
+ },
2121
+ {
2122
+ "epoch": 0.01,
2123
+ "learning_rate": 4.707443445628596e-05,
2124
+ "loss": 3.9768,
2125
+ "step": 178688
2126
+ },
2127
+ {
2128
+ "epoch": 0.01,
2129
+ "learning_rate": 4.706604850877544e-05,
2130
+ "loss": 3.9728,
2131
+ "step": 179200
2132
+ },
2133
+ {
2134
+ "epoch": 0.01,
2135
+ "learning_rate": 4.705766256126492e-05,
2136
+ "loss": 3.9589,
2137
+ "step": 179712
2138
+ },
2139
+ {
2140
+ "epoch": 0.01,
2141
+ "learning_rate": 4.704927661375439e-05,
2142
+ "loss": 3.972,
2143
+ "step": 180224
2144
+ },
2145
+ {
2146
+ "epoch": 0.01,
2147
+ "learning_rate": 4.704090704504761e-05,
2148
+ "loss": 3.9606,
2149
+ "step": 180736
2150
+ },
2151
+ {
2152
+ "epoch": 0.01,
2153
+ "learning_rate": 4.703252109753709e-05,
2154
+ "loss": 3.9809,
2155
+ "step": 181248
2156
+ },
2157
+ {
2158
+ "epoch": 0.01,
2159
+ "learning_rate": 4.702413515002657e-05,
2160
+ "loss": 3.9563,
2161
+ "step": 181760
2162
+ },
2163
+ {
2164
+ "epoch": 0.01,
2165
+ "learning_rate": 4.701574920251605e-05,
2166
+ "loss": 3.9739,
2167
+ "step": 182272
2168
+ },
2169
+ {
2170
+ "epoch": 0.01,
2171
+ "learning_rate": 4.7007379633809265e-05,
2172
+ "loss": 3.974,
2173
+ "step": 182784
2174
+ },
2175
+ {
2176
+ "epoch": 0.01,
2177
+ "learning_rate": 4.6998993686298745e-05,
2178
+ "loss": 3.9543,
2179
+ "step": 183296
2180
+ },
2181
+ {
2182
+ "epoch": 0.01,
2183
+ "learning_rate": 4.699060773878822e-05,
2184
+ "loss": 3.964,
2185
+ "step": 183808
2186
+ },
2187
+ {
2188
+ "epoch": 0.01,
2189
+ "learning_rate": 4.69822217912777e-05,
2190
+ "loss": 3.9672,
2191
+ "step": 184320
2192
+ },
2193
+ {
2194
+ "epoch": 0.01,
2195
+ "learning_rate": 4.6973852222570914e-05,
2196
+ "loss": 3.9539,
2197
+ "step": 184832
2198
+ },
2199
+ {
2200
+ "epoch": 0.01,
2201
+ "learning_rate": 4.696548265386412e-05,
2202
+ "loss": 3.9577,
2203
+ "step": 185344
2204
+ },
2205
+ {
2206
+ "epoch": 0.01,
2207
+ "learning_rate": 4.69570967063536e-05,
2208
+ "loss": 3.9674,
2209
+ "step": 185856
2210
+ },
2211
+ {
2212
+ "epoch": 0.01,
2213
+ "learning_rate": 4.694871075884308e-05,
2214
+ "loss": 3.9638,
2215
+ "step": 186368
2216
+ },
2217
+ {
2218
+ "epoch": 0.01,
2219
+ "learning_rate": 4.694032481133256e-05,
2220
+ "loss": 3.9523,
2221
+ "step": 186880
2222
+ },
2223
+ {
2224
+ "epoch": 0.01,
2225
+ "learning_rate": 4.693193886382204e-05,
2226
+ "loss": 3.9593,
2227
+ "step": 187392
2228
+ },
2229
+ {
2230
+ "epoch": 0.01,
2231
+ "learning_rate": 4.692355291631152e-05,
2232
+ "loss": 3.9493,
2233
+ "step": 187904
2234
+ },
2235
+ {
2236
+ "epoch": 0.01,
2237
+ "learning_rate": 4.6915166968801e-05,
2238
+ "loss": 3.9591,
2239
+ "step": 188416
2240
+ },
2241
+ {
2242
+ "epoch": 0.01,
2243
+ "learning_rate": 4.690678102129048e-05,
2244
+ "loss": 3.9747,
2245
+ "step": 188928
2246
+ },
2247
+ {
2248
+ "epoch": 0.01,
2249
+ "learning_rate": 4.689841145258369e-05,
2250
+ "loss": 3.9552,
2251
+ "step": 189440
2252
+ },
2253
+ {
2254
+ "epoch": 0.01,
2255
+ "learning_rate": 4.689002550507317e-05,
2256
+ "loss": 3.9704,
2257
+ "step": 189952
2258
+ },
2259
+ {
2260
+ "epoch": 0.01,
2261
+ "learning_rate": 4.688163955756265e-05,
2262
+ "loss": 3.9672,
2263
+ "step": 190464
2264
+ },
2265
+ {
2266
+ "epoch": 0.01,
2267
+ "learning_rate": 4.687325361005213e-05,
2268
+ "loss": 3.9626,
2269
+ "step": 190976
2270
+ },
2271
+ {
2272
+ "epoch": 0.01,
2273
+ "learning_rate": 4.686488404134534e-05,
2274
+ "loss": 3.9487,
2275
+ "step": 191488
2276
+ },
2277
+ {
2278
+ "epoch": 0.01,
2279
+ "learning_rate": 4.685649809383482e-05,
2280
+ "loss": 3.9676,
2281
+ "step": 192000
2282
+ },
2283
+ {
2284
+ "epoch": 0.01,
2285
+ "learning_rate": 4.6848128525128036e-05,
2286
+ "loss": 3.958,
2287
+ "step": 192512
2288
+ },
2289
+ {
2290
+ "epoch": 0.01,
2291
+ "learning_rate": 4.683974257761751e-05,
2292
+ "loss": 3.9575,
2293
+ "step": 193024
2294
+ },
2295
+ {
2296
+ "epoch": 0.01,
2297
+ "learning_rate": 4.6831356630106996e-05,
2298
+ "loss": 3.9531,
2299
+ "step": 193536
2300
+ },
2301
+ {
2302
+ "epoch": 0.01,
2303
+ "learning_rate": 4.6822970682596476e-05,
2304
+ "loss": 3.9593,
2305
+ "step": 194048
2306
+ },
2307
+ {
2308
+ "epoch": 0.01,
2309
+ "learning_rate": 4.6814584735085956e-05,
2310
+ "loss": 3.9692,
2311
+ "step": 194560
2312
+ },
2313
+ {
2314
+ "epoch": 0.01,
2315
+ "learning_rate": 4.6806198787575436e-05,
2316
+ "loss": 3.9519,
2317
+ "step": 195072
2318
+ },
2319
+ {
2320
+ "epoch": 0.01,
2321
+ "learning_rate": 4.6797829218868645e-05,
2322
+ "loss": 3.938,
2323
+ "step": 195584
2324
+ },
2325
+ {
2326
+ "epoch": 0.01,
2327
+ "learning_rate": 4.6789443271358125e-05,
2328
+ "loss": 3.9448,
2329
+ "step": 196096
2330
+ },
2331
+ {
2332
+ "epoch": 0.01,
2333
+ "learning_rate": 4.6781057323847605e-05,
2334
+ "loss": 3.9566,
2335
+ "step": 196608
2336
+ },
2337
+ {
2338
+ "epoch": 0.01,
2339
+ "learning_rate": 4.6772671376337085e-05,
2340
+ "loss": 3.9553,
2341
+ "step": 197120
2342
+ },
2343
+ {
2344
+ "epoch": 0.01,
2345
+ "learning_rate": 4.6764285428826565e-05,
2346
+ "loss": 3.9582,
2347
+ "step": 197632
2348
+ },
2349
+ {
2350
+ "epoch": 0.01,
2351
+ "learning_rate": 4.6755915860119774e-05,
2352
+ "loss": 3.9422,
2353
+ "step": 198144
2354
+ },
2355
+ {
2356
+ "epoch": 0.02,
2357
+ "learning_rate": 4.6747529912609254e-05,
2358
+ "loss": 3.9436,
2359
+ "step": 198656
2360
+ },
2361
+ {
2362
+ "epoch": 0.02,
2363
+ "learning_rate": 4.6739143965098734e-05,
2364
+ "loss": 3.939,
2365
+ "step": 199168
2366
+ },
2367
+ {
2368
+ "epoch": 0.02,
2369
+ "learning_rate": 4.6730758017588214e-05,
2370
+ "loss": 3.9453,
2371
+ "step": 199680
2372
+ },
2373
+ {
2374
+ "epoch": 0.02,
2375
+ "learning_rate": 4.6722372070077694e-05,
2376
+ "loss": 3.9507,
2377
+ "step": 200192
2378
+ },
2379
+ {
2380
+ "epoch": 0.02,
2381
+ "learning_rate": 4.6713986122567174e-05,
2382
+ "loss": 3.9475,
2383
+ "step": 200704
2384
+ },
2385
+ {
2386
+ "epoch": 0.02,
2387
+ "learning_rate": 4.670561655386039e-05,
2388
+ "loss": 3.967,
2389
+ "step": 201216
2390
+ },
2391
+ {
2392
+ "epoch": 0.02,
2393
+ "learning_rate": 4.669723060634987e-05,
2394
+ "loss": 3.9471,
2395
+ "step": 201728
2396
+ },
2397
+ {
2398
+ "epoch": 0.02,
2399
+ "learning_rate": 4.668884465883935e-05,
2400
+ "loss": 3.9389,
2401
+ "step": 202240
2402
+ },
2403
+ {
2404
+ "epoch": 0.02,
2405
+ "learning_rate": 4.668045871132883e-05,
2406
+ "loss": 3.9426,
2407
+ "step": 202752
2408
+ },
2409
+ {
2410
+ "epoch": 0.02,
2411
+ "learning_rate": 4.667207276381831e-05,
2412
+ "loss": 3.9438,
2413
+ "step": 203264
2414
+ },
2415
+ {
2416
+ "epoch": 0.02,
2417
+ "learning_rate": 4.666370319511152e-05,
2418
+ "loss": 3.9509,
2419
+ "step": 203776
2420
+ },
2421
+ {
2422
+ "epoch": 0.02,
2423
+ "learning_rate": 4.6655317247601e-05,
2424
+ "loss": 3.9451,
2425
+ "step": 204288
2426
+ },
2427
+ {
2428
+ "epoch": 0.02,
2429
+ "learning_rate": 4.664693130009048e-05,
2430
+ "loss": 3.94,
2431
+ "step": 204800
2432
+ },
2433
+ {
2434
+ "epoch": 0.02,
2435
+ "learning_rate": 4.663854535257996e-05,
2436
+ "loss": 3.9385,
2437
+ "step": 205312
2438
+ },
2439
+ {
2440
+ "epoch": 0.02,
2441
+ "learning_rate": 4.663015940506944e-05,
2442
+ "loss": 3.9475,
2443
+ "step": 205824
2444
+ },
2445
+ {
2446
+ "epoch": 0.02,
2447
+ "learning_rate": 4.662177345755892e-05,
2448
+ "loss": 3.9251,
2449
+ "step": 206336
2450
+ },
2451
+ {
2452
+ "epoch": 0.02,
2453
+ "learning_rate": 4.66133875100484e-05,
2454
+ "loss": 3.9397,
2455
+ "step": 206848
2456
+ },
2457
+ {
2458
+ "epoch": 0.02,
2459
+ "learning_rate": 4.6605017941341614e-05,
2460
+ "loss": 3.9345,
2461
+ "step": 207360
2462
+ },
2463
+ {
2464
+ "epoch": 0.02,
2465
+ "learning_rate": 4.6596631993831094e-05,
2466
+ "loss": 3.9395,
2467
+ "step": 207872
2468
+ },
2469
+ {
2470
+ "epoch": 0.02,
2471
+ "learning_rate": 4.6588246046320574e-05,
2472
+ "loss": 3.9318,
2473
+ "step": 208384
2474
+ },
2475
+ {
2476
+ "epoch": 0.02,
2477
+ "learning_rate": 4.6579860098810054e-05,
2478
+ "loss": 3.9393,
2479
+ "step": 208896
2480
+ },
2481
+ {
2482
+ "epoch": 0.02,
2483
+ "learning_rate": 4.657149053010326e-05,
2484
+ "loss": 3.9259,
2485
+ "step": 209408
2486
+ },
2487
+ {
2488
+ "epoch": 0.02,
2489
+ "learning_rate": 4.656310458259274e-05,
2490
+ "loss": 3.931,
2491
+ "step": 209920
2492
+ },
2493
+ {
2494
+ "epoch": 0.02,
2495
+ "learning_rate": 4.655471863508222e-05,
2496
+ "loss": 3.9378,
2497
+ "step": 210432
2498
+ },
2499
+ {
2500
+ "epoch": 0.02,
2501
+ "learning_rate": 4.65463326875717e-05,
2502
+ "loss": 3.9311,
2503
+ "step": 210944
2504
+ },
2505
+ {
2506
+ "epoch": 0.02,
2507
+ "learning_rate": 4.6537946740061176e-05,
2508
+ "loss": 3.9517,
2509
+ "step": 211456
2510
+ },
2511
+ {
2512
+ "epoch": 0.02,
2513
+ "learning_rate": 4.6529560792550656e-05,
2514
+ "loss": 3.942,
2515
+ "step": 211968
2516
+ },
2517
+ {
2518
+ "epoch": 0.02,
2519
+ "learning_rate": 4.652119122384387e-05,
2520
+ "loss": 3.938,
2521
+ "step": 212480
2522
+ },
2523
+ {
2524
+ "epoch": 0.02,
2525
+ "learning_rate": 4.651280527633335e-05,
2526
+ "loss": 3.9281,
2527
+ "step": 212992
2528
+ },
2529
+ {
2530
+ "epoch": 0.02,
2531
+ "learning_rate": 4.650441932882283e-05,
2532
+ "loss": 3.9324,
2533
+ "step": 213504
2534
+ },
2535
+ {
2536
+ "epoch": 0.02,
2537
+ "learning_rate": 4.649603338131231e-05,
2538
+ "loss": 3.9334,
2539
+ "step": 214016
2540
+ },
2541
+ {
2542
+ "epoch": 0.02,
2543
+ "learning_rate": 4.648764743380179e-05,
2544
+ "loss": 3.9317,
2545
+ "step": 214528
2546
+ },
2547
+ {
2548
+ "epoch": 0.02,
2549
+ "learning_rate": 4.647926148629127e-05,
2550
+ "loss": 3.931,
2551
+ "step": 215040
2552
+ },
2553
+ {
2554
+ "epoch": 0.02,
2555
+ "learning_rate": 4.647087553878075e-05,
2556
+ "loss": 3.9226,
2557
+ "step": 215552
2558
+ },
2559
+ {
2560
+ "epoch": 0.02,
2561
+ "learning_rate": 4.646248959127023e-05,
2562
+ "loss": 3.9323,
2563
+ "step": 216064
2564
+ },
2565
+ {
2566
+ "epoch": 0.02,
2567
+ "learning_rate": 4.645412002256344e-05,
2568
+ "loss": 3.9183,
2569
+ "step": 216576
2570
+ },
2571
+ {
2572
+ "epoch": 0.02,
2573
+ "learning_rate": 4.644573407505292e-05,
2574
+ "loss": 3.9267,
2575
+ "step": 217088
2576
+ },
2577
+ {
2578
+ "epoch": 0.02,
2579
+ "learning_rate": 4.64373481275424e-05,
2580
+ "loss": 3.9253,
2581
+ "step": 217600
2582
+ },
2583
+ {
2584
+ "epoch": 0.02,
2585
+ "learning_rate": 4.642897855883561e-05,
2586
+ "loss": 3.9268,
2587
+ "step": 218112
2588
+ },
2589
+ {
2590
+ "epoch": 0.02,
2591
+ "learning_rate": 4.642059261132509e-05,
2592
+ "loss": 3.9145,
2593
+ "step": 218624
2594
+ },
2595
+ {
2596
+ "epoch": 0.02,
2597
+ "learning_rate": 4.641220666381457e-05,
2598
+ "loss": 3.9395,
2599
+ "step": 219136
2600
+ },
2601
+ {
2602
+ "epoch": 0.02,
2603
+ "learning_rate": 4.640382071630405e-05,
2604
+ "loss": 3.9399,
2605
+ "step": 219648
2606
+ },
2607
+ {
2608
+ "epoch": 0.02,
2609
+ "learning_rate": 4.6395434768793536e-05,
2610
+ "loss": 3.9297,
2611
+ "step": 220160
2612
+ },
2613
+ {
2614
+ "epoch": 0.02,
2615
+ "learning_rate": 4.6387048821283016e-05,
2616
+ "loss": 3.9154,
2617
+ "step": 220672
2618
+ },
2619
+ {
2620
+ "epoch": 0.02,
2621
+ "learning_rate": 4.6378679252576226e-05,
2622
+ "loss": 3.9295,
2623
+ "step": 221184
2624
+ },
2625
+ {
2626
+ "epoch": 0.02,
2627
+ "learning_rate": 4.6370293305065705e-05,
2628
+ "loss": 3.9276,
2629
+ "step": 221696
2630
+ },
2631
+ {
2632
+ "epoch": 0.02,
2633
+ "learning_rate": 4.6361907357555185e-05,
2634
+ "loss": 3.9337,
2635
+ "step": 222208
2636
+ },
2637
+ {
2638
+ "epoch": 0.02,
2639
+ "learning_rate": 4.6353521410044665e-05,
2640
+ "loss": 3.9272,
2641
+ "step": 222720
2642
+ },
2643
+ {
2644
+ "epoch": 0.02,
2645
+ "learning_rate": 4.6345135462534145e-05,
2646
+ "loss": 3.9247,
2647
+ "step": 223232
2648
+ },
2649
+ {
2650
+ "epoch": 0.02,
2651
+ "learning_rate": 4.6336749515023625e-05,
2652
+ "loss": 3.9241,
2653
+ "step": 223744
2654
+ },
2655
+ {
2656
+ "epoch": 0.02,
2657
+ "learning_rate": 4.6328379946316834e-05,
2658
+ "loss": 3.9309,
2659
+ "step": 224256
2660
+ },
2661
+ {
2662
+ "epoch": 0.02,
2663
+ "learning_rate": 4.6319993998806314e-05,
2664
+ "loss": 3.9219,
2665
+ "step": 224768
2666
+ },
2667
+ {
2668
+ "epoch": 0.02,
2669
+ "learning_rate": 4.6311608051295794e-05,
2670
+ "loss": 3.9262,
2671
+ "step": 225280
2672
+ },
2673
+ {
2674
+ "epoch": 0.02,
2675
+ "learning_rate": 4.6303222103785274e-05,
2676
+ "loss": 3.9228,
2677
+ "step": 225792
2678
+ },
2679
+ {
2680
+ "epoch": 0.02,
2681
+ "learning_rate": 4.629485253507848e-05,
2682
+ "loss": 3.9155,
2683
+ "step": 226304
2684
+ },
2685
+ {
2686
+ "epoch": 0.02,
2687
+ "learning_rate": 4.628646658756797e-05,
2688
+ "loss": 3.9279,
2689
+ "step": 226816
2690
+ },
2691
+ {
2692
+ "epoch": 0.02,
2693
+ "learning_rate": 4.627808064005745e-05,
2694
+ "loss": 3.9239,
2695
+ "step": 227328
2696
+ },
2697
+ {
2698
+ "epoch": 0.02,
2699
+ "learning_rate": 4.626969469254693e-05,
2700
+ "loss": 3.9206,
2701
+ "step": 227840
2702
+ },
2703
+ {
2704
+ "epoch": 0.02,
2705
+ "learning_rate": 4.626130874503641e-05,
2706
+ "loss": 3.9132,
2707
+ "step": 228352
2708
+ },
2709
+ {
2710
+ "epoch": 0.02,
2711
+ "learning_rate": 4.625292279752589e-05,
2712
+ "loss": 3.912,
2713
+ "step": 228864
2714
+ },
2715
+ {
2716
+ "epoch": 0.03,
2717
+ "eval_loss": 3.9523091316223145,
2718
+ "eval_runtime": 303.3686,
2719
+ "eval_samples_per_second": 1257.846,
2720
+ "eval_steps_per_second": 39.309,
2721
+ "step": 228960
2722
+ },
2723
+ {
2724
+ "epoch": 1.0,
2725
+ "learning_rate": 4.624453685001536e-05,
2726
+ "loss": 3.9155,
2727
+ "step": 229376
2728
+ },
2729
+ {
2730
+ "epoch": 1.0,
2731
+ "learning_rate": 4.623615090250484e-05,
2732
+ "loss": 3.9062,
2733
+ "step": 229888
2734
+ },
2735
+ {
2736
+ "epoch": 1.0,
2737
+ "learning_rate": 4.622778133379806e-05,
2738
+ "loss": 3.9212,
2739
+ "step": 230400
2740
+ },
2741
+ {
2742
+ "epoch": 1.0,
2743
+ "learning_rate": 4.621939538628753e-05,
2744
+ "loss": 3.9144,
2745
+ "step": 230912
2746
+ },
2747
+ {
2748
+ "epoch": 1.0,
2749
+ "learning_rate": 4.621102581758075e-05,
2750
+ "loss": 3.9242,
2751
+ "step": 231424
2752
+ },
2753
+ {
2754
+ "epoch": 1.0,
2755
+ "learning_rate": 4.620263987007023e-05,
2756
+ "loss": 3.9076,
2757
+ "step": 231936
2758
+ },
2759
+ {
2760
+ "epoch": 1.0,
2761
+ "learning_rate": 4.619425392255971e-05,
2762
+ "loss": 3.9098,
2763
+ "step": 232448
2764
+ },
2765
+ {
2766
+ "epoch": 1.0,
2767
+ "learning_rate": 4.618586797504919e-05,
2768
+ "loss": 3.8978,
2769
+ "step": 232960
2770
+ },
2771
+ {
2772
+ "epoch": 1.0,
2773
+ "learning_rate": 4.617748202753867e-05,
2774
+ "loss": 3.9155,
2775
+ "step": 233472
2776
+ },
2777
+ {
2778
+ "epoch": 1.0,
2779
+ "learning_rate": 4.616909608002815e-05,
2780
+ "loss": 3.9145,
2781
+ "step": 233984
2782
+ },
2783
+ {
2784
+ "epoch": 1.0,
2785
+ "learning_rate": 4.6160726511321364e-05,
2786
+ "loss": 3.915,
2787
+ "step": 234496
2788
+ },
2789
+ {
2790
+ "epoch": 1.0,
2791
+ "learning_rate": 4.615234056381084e-05,
2792
+ "loss": 3.9078,
2793
+ "step": 235008
2794
+ },
2795
+ {
2796
+ "epoch": 1.0,
2797
+ "learning_rate": 4.614397099510405e-05,
2798
+ "loss": 3.9022,
2799
+ "step": 235520
2800
+ },
2801
+ {
2802
+ "epoch": 1.0,
2803
+ "learning_rate": 4.613558504759353e-05,
2804
+ "loss": 3.9028,
2805
+ "step": 236032
2806
+ },
2807
+ {
2808
+ "epoch": 1.0,
2809
+ "learning_rate": 4.6127199100083006e-05,
2810
+ "loss": 3.8973,
2811
+ "step": 236544
2812
+ },
2813
+ {
2814
+ "epoch": 1.0,
2815
+ "learning_rate": 4.6118813152572486e-05,
2816
+ "loss": 3.9007,
2817
+ "step": 237056
2818
+ },
2819
+ {
2820
+ "epoch": 1.0,
2821
+ "learning_rate": 4.6110427205061966e-05,
2822
+ "loss": 3.9042,
2823
+ "step": 237568
2824
+ },
2825
+ {
2826
+ "epoch": 1.0,
2827
+ "learning_rate": 4.6102041257551446e-05,
2828
+ "loss": 3.8972,
2829
+ "step": 238080
2830
+ },
2831
+ {
2832
+ "epoch": 1.0,
2833
+ "learning_rate": 4.6093655310040926e-05,
2834
+ "loss": 3.8988,
2835
+ "step": 238592
2836
+ },
2837
+ {
2838
+ "epoch": 1.0,
2839
+ "learning_rate": 4.6085269362530406e-05,
2840
+ "loss": 3.9237,
2841
+ "step": 239104
2842
+ },
2843
+ {
2844
+ "epoch": 1.0,
2845
+ "learning_rate": 4.607689979382362e-05,
2846
+ "loss": 3.9038,
2847
+ "step": 239616
2848
+ },
2849
+ {
2850
+ "epoch": 1.0,
2851
+ "learning_rate": 4.60685138463131e-05,
2852
+ "loss": 3.9044,
2853
+ "step": 240128
2854
+ },
2855
+ {
2856
+ "epoch": 1.0,
2857
+ "learning_rate": 4.606012789880258e-05,
2858
+ "loss": 3.9011,
2859
+ "step": 240640
2860
+ },
2861
+ {
2862
+ "epoch": 1.0,
2863
+ "learning_rate": 4.605174195129206e-05,
2864
+ "loss": 3.9078,
2865
+ "step": 241152
2866
+ },
2867
+ {
2868
+ "epoch": 1.0,
2869
+ "learning_rate": 4.604335600378154e-05,
2870
+ "loss": 3.8908,
2871
+ "step": 241664
2872
+ },
2873
+ {
2874
+ "epoch": 1.0,
2875
+ "learning_rate": 4.603498643507475e-05,
2876
+ "loss": 3.907,
2877
+ "step": 242176
2878
+ },
2879
+ {
2880
+ "epoch": 1.0,
2881
+ "learning_rate": 4.602660048756423e-05,
2882
+ "loss": 3.8973,
2883
+ "step": 242688
2884
+ },
2885
+ {
2886
+ "epoch": 1.0,
2887
+ "learning_rate": 4.601821454005371e-05,
2888
+ "loss": 3.894,
2889
+ "step": 243200
2890
+ },
2891
+ {
2892
+ "epoch": 1.0,
2893
+ "learning_rate": 4.600982859254319e-05,
2894
+ "loss": 3.8853,
2895
+ "step": 243712
2896
+ },
2897
+ {
2898
+ "epoch": 1.01,
2899
+ "learning_rate": 4.60014590238364e-05,
2900
+ "loss": 3.8938,
2901
+ "step": 244224
2902
+ },
2903
+ {
2904
+ "epoch": 1.01,
2905
+ "learning_rate": 4.599307307632588e-05,
2906
+ "loss": 3.8986,
2907
+ "step": 244736
2908
+ },
2909
+ {
2910
+ "epoch": 1.01,
2911
+ "learning_rate": 4.5984703507619095e-05,
2912
+ "loss": 3.9032,
2913
+ "step": 245248
2914
+ },
2915
+ {
2916
+ "epoch": 1.01,
2917
+ "learning_rate": 4.5976317560108575e-05,
2918
+ "loss": 3.9011,
2919
+ "step": 245760
2920
+ },
2921
+ {
2922
+ "epoch": 1.01,
2923
+ "learning_rate": 4.5967931612598055e-05,
2924
+ "loss": 3.9012,
2925
+ "step": 246272
2926
+ },
2927
+ {
2928
+ "epoch": 1.01,
2929
+ "learning_rate": 4.5959545665087535e-05,
2930
+ "loss": 3.892,
2931
+ "step": 246784
2932
+ },
2933
+ {
2934
+ "epoch": 1.01,
2935
+ "learning_rate": 4.5951159717577015e-05,
2936
+ "loss": 3.9039,
2937
+ "step": 247296
2938
+ },
2939
+ {
2940
+ "epoch": 1.01,
2941
+ "learning_rate": 4.5942773770066495e-05,
2942
+ "loss": 3.8853,
2943
+ "step": 247808
2944
+ },
2945
+ {
2946
+ "epoch": 1.01,
2947
+ "learning_rate": 4.5934387822555975e-05,
2948
+ "loss": 3.8927,
2949
+ "step": 248320
2950
+ },
2951
+ {
2952
+ "epoch": 1.01,
2953
+ "learning_rate": 4.5926001875045455e-05,
2954
+ "loss": 3.8776,
2955
+ "step": 248832
2956
+ },
2957
+ {
2958
+ "epoch": 1.01,
2959
+ "learning_rate": 4.5917632306338664e-05,
2960
+ "loss": 3.8933,
2961
+ "step": 249344
2962
+ },
2963
+ {
2964
+ "epoch": 1.01,
2965
+ "learning_rate": 4.5909246358828144e-05,
2966
+ "loss": 3.8844,
2967
+ "step": 249856
2968
+ },
2969
+ {
2970
+ "epoch": 1.01,
2971
+ "learning_rate": 4.5900860411317624e-05,
2972
+ "loss": 3.8934,
2973
+ "step": 250368
2974
+ },
2975
+ {
2976
+ "epoch": 1.01,
2977
+ "learning_rate": 4.5892474463807104e-05,
2978
+ "loss": 3.8898,
2979
+ "step": 250880
2980
+ },
2981
+ {
2982
+ "epoch": 1.01,
2983
+ "learning_rate": 4.5884088516296584e-05,
2984
+ "loss": 3.8802,
2985
+ "step": 251392
2986
+ },
2987
+ {
2988
+ "epoch": 1.01,
2989
+ "learning_rate": 4.58757189475898e-05,
2990
+ "loss": 3.8942,
2991
+ "step": 251904
2992
+ },
2993
+ {
2994
+ "epoch": 1.01,
2995
+ "learning_rate": 4.586733300007928e-05,
2996
+ "loss": 3.8863,
2997
+ "step": 252416
2998
+ },
2999
+ {
3000
+ "epoch": 1.01,
3001
+ "learning_rate": 4.585894705256876e-05,
3002
+ "loss": 3.8845,
3003
+ "step": 252928
3004
+ },
3005
+ {
3006
+ "epoch": 1.01,
3007
+ "learning_rate": 4.585056110505824e-05,
3008
+ "loss": 3.8714,
3009
+ "step": 253440
3010
+ },
3011
+ {
3012
+ "epoch": 1.01,
3013
+ "learning_rate": 4.584217515754772e-05,
3014
+ "loss": 3.8815,
3015
+ "step": 253952
3016
+ },
3017
+ {
3018
+ "epoch": 1.01,
3019
+ "learning_rate": 4.58337892100372e-05,
3020
+ "loss": 3.8885,
3021
+ "step": 254464
3022
+ },
3023
+ {
3024
+ "epoch": 1.01,
3025
+ "learning_rate": 4.582540326252667e-05,
3026
+ "loss": 3.8863,
3027
+ "step": 254976
3028
+ },
3029
+ {
3030
+ "epoch": 1.01,
3031
+ "learning_rate": 4.581703369381989e-05,
3032
+ "loss": 3.8811,
3033
+ "step": 255488
3034
+ },
3035
+ {
3036
+ "epoch": 1.01,
3037
+ "learning_rate": 4.580864774630937e-05,
3038
+ "loss": 3.8716,
3039
+ "step": 256000
3040
+ },
3041
+ {
3042
+ "epoch": 1.01,
3043
+ "learning_rate": 4.580026179879884e-05,
3044
+ "loss": 3.8815,
3045
+ "step": 256512
3046
+ },
3047
+ {
3048
+ "epoch": 1.01,
3049
+ "learning_rate": 4.579187585128832e-05,
3050
+ "loss": 3.8681,
3051
+ "step": 257024
3052
+ },
3053
+ {
3054
+ "epoch": 1.01,
3055
+ "learning_rate": 4.578350628258154e-05,
3056
+ "loss": 3.8878,
3057
+ "step": 257536
3058
+ },
3059
+ {
3060
+ "epoch": 1.01,
3061
+ "learning_rate": 4.577512033507102e-05,
3062
+ "loss": 3.8746,
3063
+ "step": 258048
3064
+ },
3065
+ {
3066
+ "epoch": 1.01,
3067
+ "learning_rate": 4.57667343875605e-05,
3068
+ "loss": 3.8798,
3069
+ "step": 258560
3070
+ },
3071
+ {
3072
+ "epoch": 1.01,
3073
+ "learning_rate": 4.575834844004998e-05,
3074
+ "loss": 3.8845,
3075
+ "step": 259072
3076
+ },
3077
+ {
3078
+ "epoch": 1.01,
3079
+ "learning_rate": 4.574996249253946e-05,
3080
+ "loss": 3.8678,
3081
+ "step": 259584
3082
+ },
3083
+ {
3084
+ "epoch": 1.01,
3085
+ "learning_rate": 4.5741592923832666e-05,
3086
+ "loss": 3.8717,
3087
+ "step": 260096
3088
+ },
3089
+ {
3090
+ "epoch": 1.01,
3091
+ "learning_rate": 4.5733206976322146e-05,
3092
+ "loss": 3.8802,
3093
+ "step": 260608
3094
+ },
3095
+ {
3096
+ "epoch": 1.01,
3097
+ "learning_rate": 4.5724821028811626e-05,
3098
+ "loss": 3.8659,
3099
+ "step": 261120
3100
+ },
3101
+ {
3102
+ "epoch": 1.01,
3103
+ "learning_rate": 4.5716435081301106e-05,
3104
+ "loss": 3.8741,
3105
+ "step": 261632
3106
+ },
3107
+ {
3108
+ "epoch": 1.01,
3109
+ "learning_rate": 4.5708065512594315e-05,
3110
+ "loss": 3.877,
3111
+ "step": 262144
3112
+ },
3113
+ {
3114
+ "epoch": 1.01,
3115
+ "learning_rate": 4.5699679565083795e-05,
3116
+ "loss": 3.8804,
3117
+ "step": 262656
3118
+ },
3119
+ {
3120
+ "epoch": 1.01,
3121
+ "learning_rate": 4.5691293617573275e-05,
3122
+ "loss": 3.8654,
3123
+ "step": 263168
3124
+ },
3125
+ {
3126
+ "epoch": 1.01,
3127
+ "learning_rate": 4.5682907670062755e-05,
3128
+ "loss": 3.8729,
3129
+ "step": 263680
3130
+ },
3131
+ {
3132
+ "epoch": 1.01,
3133
+ "learning_rate": 4.5674521722552235e-05,
3134
+ "loss": 3.8635,
3135
+ "step": 264192
3136
+ },
3137
+ {
3138
+ "epoch": 1.01,
3139
+ "learning_rate": 4.5666135775041715e-05,
3140
+ "loss": 3.8706,
3141
+ "step": 264704
3142
+ },
3143
+ {
3144
+ "epoch": 1.01,
3145
+ "learning_rate": 4.565776620633493e-05,
3146
+ "loss": 3.8838,
3147
+ "step": 265216
3148
+ },
3149
+ {
3150
+ "epoch": 1.01,
3151
+ "learning_rate": 4.564938025882441e-05,
3152
+ "loss": 3.8726,
3153
+ "step": 265728
3154
+ },
3155
+ {
3156
+ "epoch": 1.01,
3157
+ "learning_rate": 4.564099431131389e-05,
3158
+ "loss": 3.8857,
3159
+ "step": 266240
3160
+ },
3161
+ {
3162
+ "epoch": 1.01,
3163
+ "learning_rate": 4.563260836380337e-05,
3164
+ "loss": 3.8829,
3165
+ "step": 266752
3166
+ },
3167
+ {
3168
+ "epoch": 1.01,
3169
+ "learning_rate": 4.562422241629285e-05,
3170
+ "loss": 3.8807,
3171
+ "step": 267264
3172
+ },
3173
+ {
3174
+ "epoch": 1.01,
3175
+ "learning_rate": 4.561583646878233e-05,
3176
+ "loss": 3.8587,
3177
+ "step": 267776
3178
+ },
3179
+ {
3180
+ "epoch": 1.01,
3181
+ "learning_rate": 4.560746690007554e-05,
3182
+ "loss": 3.8802,
3183
+ "step": 268288
3184
+ },
3185
+ {
3186
+ "epoch": 1.01,
3187
+ "learning_rate": 4.559908095256502e-05,
3188
+ "loss": 3.88,
3189
+ "step": 268800
3190
+ },
3191
+ {
3192
+ "epoch": 1.01,
3193
+ "learning_rate": 4.55906950050545e-05,
3194
+ "loss": 3.8682,
3195
+ "step": 269312
3196
+ },
3197
+ {
3198
+ "epoch": 1.01,
3199
+ "learning_rate": 4.558230905754398e-05,
3200
+ "loss": 3.8723,
3201
+ "step": 269824
3202
+ },
3203
+ {
3204
+ "epoch": 1.01,
3205
+ "learning_rate": 4.557393948883719e-05,
3206
+ "loss": 3.8757,
3207
+ "step": 270336
3208
+ },
3209
+ {
3210
+ "epoch": 1.01,
3211
+ "learning_rate": 4.556555354132667e-05,
3212
+ "loss": 3.8862,
3213
+ "step": 270848
3214
+ },
3215
+ {
3216
+ "epoch": 1.01,
3217
+ "learning_rate": 4.5557167593816156e-05,
3218
+ "loss": 3.8682,
3219
+ "step": 271360
3220
+ },
3221
+ {
3222
+ "epoch": 1.01,
3223
+ "learning_rate": 4.5548781646305635e-05,
3224
+ "loss": 3.8554,
3225
+ "step": 271872
3226
+ },
3227
+ {
3228
+ "epoch": 1.01,
3229
+ "learning_rate": 4.5540395698795115e-05,
3230
+ "loss": 3.8659,
3231
+ "step": 272384
3232
+ },
3233
+ {
3234
+ "epoch": 1.01,
3235
+ "learning_rate": 4.5532009751284595e-05,
3236
+ "loss": 3.8692,
3237
+ "step": 272896
3238
+ },
3239
+ {
3240
+ "epoch": 1.01,
3241
+ "learning_rate": 4.5523623803774075e-05,
3242
+ "loss": 3.8733,
3243
+ "step": 273408
3244
+ },
3245
+ {
3246
+ "epoch": 1.01,
3247
+ "learning_rate": 4.5515237856263555e-05,
3248
+ "loss": 3.8716,
3249
+ "step": 273920
3250
+ },
3251
+ {
3252
+ "epoch": 1.01,
3253
+ "learning_rate": 4.5506884666360494e-05,
3254
+ "loss": 3.8633,
3255
+ "step": 274432
3256
+ },
3257
+ {
3258
+ "epoch": 1.02,
3259
+ "learning_rate": 4.5498498718849973e-05,
3260
+ "loss": 3.8651,
3261
+ "step": 274944
3262
+ },
3263
+ {
3264
+ "epoch": 1.02,
3265
+ "learning_rate": 4.5490112771339453e-05,
3266
+ "loss": 3.8566,
3267
+ "step": 275456
3268
+ },
3269
+ {
3270
+ "epoch": 1.02,
3271
+ "learning_rate": 4.5481726823828933e-05,
3272
+ "loss": 3.8619,
3273
+ "step": 275968
3274
+ },
3275
+ {
3276
+ "epoch": 1.02,
3277
+ "learning_rate": 4.547335725512214e-05,
3278
+ "loss": 3.8643,
3279
+ "step": 276480
3280
+ },
3281
+ {
3282
+ "epoch": 1.02,
3283
+ "learning_rate": 4.546497130761162e-05,
3284
+ "loss": 3.874,
3285
+ "step": 276992
3286
+ },
3287
+ {
3288
+ "epoch": 1.02,
3289
+ "learning_rate": 4.545658536010111e-05,
3290
+ "loss": 3.8876,
3291
+ "step": 277504
3292
+ },
3293
+ {
3294
+ "epoch": 1.02,
3295
+ "learning_rate": 4.544819941259059e-05,
3296
+ "loss": 3.8652,
3297
+ "step": 278016
3298
+ },
3299
+ {
3300
+ "epoch": 1.02,
3301
+ "learning_rate": 4.543981346508007e-05,
3302
+ "loss": 3.8551,
3303
+ "step": 278528
3304
+ },
3305
+ {
3306
+ "epoch": 1.02,
3307
+ "learning_rate": 4.543142751756955e-05,
3308
+ "loss": 3.8634,
3309
+ "step": 279040
3310
+ },
3311
+ {
3312
+ "epoch": 1.02,
3313
+ "learning_rate": 4.542305794886276e-05,
3314
+ "loss": 3.8626,
3315
+ "step": 279552
3316
+ },
3317
+ {
3318
+ "epoch": 1.02,
3319
+ "learning_rate": 4.541467200135224e-05,
3320
+ "loss": 3.8715,
3321
+ "step": 280064
3322
+ },
3323
+ {
3324
+ "epoch": 1.02,
3325
+ "learning_rate": 4.540628605384172e-05,
3326
+ "loss": 3.8632,
3327
+ "step": 280576
3328
+ },
3329
+ {
3330
+ "epoch": 1.02,
3331
+ "learning_rate": 4.53979001063312e-05,
3332
+ "loss": 3.8628,
3333
+ "step": 281088
3334
+ },
3335
+ {
3336
+ "epoch": 1.02,
3337
+ "learning_rate": 4.538953053762441e-05,
3338
+ "loss": 3.86,
3339
+ "step": 281600
3340
+ },
3341
+ {
3342
+ "epoch": 1.02,
3343
+ "learning_rate": 4.538114459011389e-05,
3344
+ "loss": 3.8693,
3345
+ "step": 282112
3346
+ },
3347
+ {
3348
+ "epoch": 1.02,
3349
+ "learning_rate": 4.537275864260337e-05,
3350
+ "loss": 3.8437,
3351
+ "step": 282624
3352
+ },
3353
+ {
3354
+ "epoch": 1.02,
3355
+ "learning_rate": 4.536437269509285e-05,
3356
+ "loss": 3.8578,
3357
+ "step": 283136
3358
+ },
3359
+ {
3360
+ "epoch": 1.02,
3361
+ "learning_rate": 4.535598674758233e-05,
3362
+ "loss": 3.8515,
3363
+ "step": 283648
3364
+ },
3365
+ {
3366
+ "epoch": 1.02,
3367
+ "learning_rate": 4.534761717887554e-05,
3368
+ "loss": 3.8658,
3369
+ "step": 284160
3370
+ },
3371
+ {
3372
+ "epoch": 1.02,
3373
+ "learning_rate": 4.533923123136502e-05,
3374
+ "loss": 3.8533,
3375
+ "step": 284672
3376
+ },
3377
+ {
3378
+ "epoch": 1.02,
3379
+ "learning_rate": 4.53308452838545e-05,
3380
+ "loss": 3.8601,
3381
+ "step": 285184
3382
+ },
3383
+ {
3384
+ "epoch": 1.02,
3385
+ "learning_rate": 4.5322459336343976e-05,
3386
+ "loss": 3.8496,
3387
+ "step": 285696
3388
+ },
3389
+ {
3390
+ "epoch": 1.02,
3391
+ "learning_rate": 4.5314073388833456e-05,
3392
+ "loss": 3.854,
3393
+ "step": 286208
3394
+ },
3395
+ {
3396
+ "epoch": 1.02,
3397
+ "learning_rate": 4.530570382012667e-05,
3398
+ "loss": 3.8578,
3399
+ "step": 286720
3400
+ },
3401
+ {
3402
+ "epoch": 1.02,
3403
+ "learning_rate": 4.529731787261615e-05,
3404
+ "loss": 3.8584,
3405
+ "step": 287232
3406
+ },
3407
+ {
3408
+ "epoch": 1.02,
3409
+ "learning_rate": 4.5288931925105625e-05,
3410
+ "loss": 3.8711,
3411
+ "step": 287744
3412
+ },
3413
+ {
3414
+ "epoch": 1.02,
3415
+ "learning_rate": 4.5280545977595105e-05,
3416
+ "loss": 3.8683,
3417
+ "step": 288256
3418
+ },
3419
+ {
3420
+ "epoch": 1.02,
3421
+ "learning_rate": 4.527219278769205e-05,
3422
+ "loss": 3.8599,
3423
+ "step": 288768
3424
+ },
3425
+ {
3426
+ "epoch": 1.02,
3427
+ "learning_rate": 4.526380684018153e-05,
3428
+ "loss": 3.8523,
3429
+ "step": 289280
3430
+ },
3431
+ {
3432
+ "epoch": 1.02,
3433
+ "learning_rate": 4.5255420892671017e-05,
3434
+ "loss": 3.854,
3435
+ "step": 289792
3436
+ },
3437
+ {
3438
+ "epoch": 1.02,
3439
+ "learning_rate": 4.5247034945160496e-05,
3440
+ "loss": 3.8594,
3441
+ "step": 290304
3442
+ },
3443
+ {
3444
+ "epoch": 1.02,
3445
+ "learning_rate": 4.5238648997649976e-05,
3446
+ "loss": 3.8487,
3447
+ "step": 290816
3448
+ },
3449
+ {
3450
+ "epoch": 1.02,
3451
+ "learning_rate": 4.523026305013945e-05,
3452
+ "loss": 3.8553,
3453
+ "step": 291328
3454
+ },
3455
+ {
3456
+ "epoch": 1.02,
3457
+ "learning_rate": 4.522187710262893e-05,
3458
+ "loss": 3.8524,
3459
+ "step": 291840
3460
+ },
3461
+ {
3462
+ "epoch": 1.02,
3463
+ "learning_rate": 4.521349115511841e-05,
3464
+ "loss": 3.8505,
3465
+ "step": 292352
3466
+ },
3467
+ {
3468
+ "epoch": 1.02,
3469
+ "learning_rate": 4.5205121586411625e-05,
3470
+ "loss": 3.8498,
3471
+ "step": 292864
3472
+ },
3473
+ {
3474
+ "epoch": 1.02,
3475
+ "learning_rate": 4.51967356389011e-05,
3476
+ "loss": 3.8493,
3477
+ "step": 293376
3478
+ },
3479
+ {
3480
+ "epoch": 1.02,
3481
+ "learning_rate": 4.518834969139058e-05,
3482
+ "loss": 3.8482,
3483
+ "step": 293888
3484
+ },
3485
+ {
3486
+ "epoch": 1.02,
3487
+ "learning_rate": 4.517996374388006e-05,
3488
+ "loss": 3.8548,
3489
+ "step": 294400
3490
+ },
3491
+ {
3492
+ "epoch": 1.02,
3493
+ "learning_rate": 4.517157779636954e-05,
3494
+ "loss": 3.8399,
3495
+ "step": 294912
3496
+ },
3497
+ {
3498
+ "epoch": 1.02,
3499
+ "learning_rate": 4.5163208227662754e-05,
3500
+ "loss": 3.8655,
3501
+ "step": 295424
3502
+ },
3503
+ {
3504
+ "epoch": 1.02,
3505
+ "learning_rate": 4.5154822280152234e-05,
3506
+ "loss": 3.8614,
3507
+ "step": 295936
3508
+ },
3509
+ {
3510
+ "epoch": 1.02,
3511
+ "learning_rate": 4.5146436332641714e-05,
3512
+ "loss": 3.8604,
3513
+ "step": 296448
3514
+ },
3515
+ {
3516
+ "epoch": 1.02,
3517
+ "learning_rate": 4.5138050385131194e-05,
3518
+ "loss": 3.837,
3519
+ "step": 296960
3520
+ },
3521
+ {
3522
+ "epoch": 1.02,
3523
+ "learning_rate": 4.51296808164244e-05,
3524
+ "loss": 3.8552,
3525
+ "step": 297472
3526
+ },
3527
+ {
3528
+ "epoch": 1.02,
3529
+ "learning_rate": 4.512129486891388e-05,
3530
+ "loss": 3.8589,
3531
+ "step": 297984
3532
+ },
3533
+ {
3534
+ "epoch": 1.02,
3535
+ "learning_rate": 4.511290892140336e-05,
3536
+ "loss": 3.8573,
3537
+ "step": 298496
3538
+ },
3539
+ {
3540
+ "epoch": 1.02,
3541
+ "learning_rate": 4.510452297389284e-05,
3542
+ "loss": 3.853,
3543
+ "step": 299008
3544
+ },
3545
+ {
3546
+ "epoch": 1.02,
3547
+ "learning_rate": 4.509615340518605e-05,
3548
+ "loss": 3.8505,
3549
+ "step": 299520
3550
+ },
3551
+ {
3552
+ "epoch": 1.02,
3553
+ "learning_rate": 4.508776745767553e-05,
3554
+ "loss": 3.8499,
3555
+ "step": 300032
3556
+ },
3557
+ {
3558
+ "epoch": 1.02,
3559
+ "learning_rate": 4.507938151016501e-05,
3560
+ "loss": 3.8566,
3561
+ "step": 300544
3562
+ },
3563
+ {
3564
+ "epoch": 1.02,
3565
+ "learning_rate": 4.507099556265449e-05,
3566
+ "loss": 3.8489,
3567
+ "step": 301056
3568
+ },
3569
+ {
3570
+ "epoch": 1.02,
3571
+ "learning_rate": 4.506260961514397e-05,
3572
+ "loss": 3.8523,
3573
+ "step": 301568
3574
+ },
3575
+ {
3576
+ "epoch": 1.02,
3577
+ "learning_rate": 4.505424004643719e-05,
3578
+ "loss": 3.851,
3579
+ "step": 302080
3580
+ },
3581
+ {
3582
+ "epoch": 1.02,
3583
+ "learning_rate": 4.504585409892667e-05,
3584
+ "loss": 3.841,
3585
+ "step": 302592
3586
+ },
3587
+ {
3588
+ "epoch": 1.02,
3589
+ "learning_rate": 4.503746815141615e-05,
3590
+ "loss": 3.8564,
3591
+ "step": 303104
3592
+ },
3593
+ {
3594
+ "epoch": 1.02,
3595
+ "learning_rate": 4.502908220390563e-05,
3596
+ "loss": 3.852,
3597
+ "step": 303616
3598
+ },
3599
+ {
3600
+ "epoch": 1.02,
3601
+ "learning_rate": 4.502071263519884e-05,
3602
+ "loss": 3.8479,
3603
+ "step": 304128
3604
+ },
3605
+ {
3606
+ "epoch": 1.02,
3607
+ "learning_rate": 4.501232668768832e-05,
3608
+ "loss": 3.84,
3609
+ "step": 304640
3610
+ },
3611
+ {
3612
+ "epoch": 1.02,
3613
+ "learning_rate": 4.50039407401778e-05,
3614
+ "loss": 3.8408,
3615
+ "step": 305152
3616
+ },
3617
+ {
3618
+ "epoch": 1.03,
3619
+ "eval_loss": 3.911149501800537,
3620
+ "eval_runtime": 304.4711,
3621
+ "eval_samples_per_second": 1253.291,
3622
+ "eval_steps_per_second": 39.166,
3623
+ "step": 305280
3624
+ },
3625
+ {
3626
+ "epoch": 0.0,
3627
+ "learning_rate": 4.499555479266728e-05,
3628
+ "loss": 3.8417,
3629
+ "step": 305664
3630
+ },
3631
+ {
3632
+ "epoch": 0.0,
3633
+ "learning_rate": 4.498716884515676e-05,
3634
+ "loss": 3.8358,
3635
+ "step": 306176
3636
+ },
3637
+ {
3638
+ "epoch": 0.0,
3639
+ "learning_rate": 4.497878289764624e-05,
3640
+ "loss": 3.847,
3641
+ "step": 306688
3642
+ },
3643
+ {
3644
+ "epoch": 0.0,
3645
+ "learning_rate": 4.497039695013572e-05,
3646
+ "loss": 3.8454,
3647
+ "step": 307200
3648
+ },
3649
+ {
3650
+ "epoch": 0.0,
3651
+ "learning_rate": 4.4962011002625197e-05,
3652
+ "loss": 3.8584,
3653
+ "step": 307712
3654
+ },
3655
+ {
3656
+ "epoch": 0.0,
3657
+ "learning_rate": 4.4953625055114677e-05,
3658
+ "loss": 3.8345,
3659
+ "step": 308224
3660
+ },
3661
+ {
3662
+ "epoch": 0.0,
3663
+ "learning_rate": 4.4945239107604156e-05,
3664
+ "loss": 3.8389,
3665
+ "step": 308736
3666
+ },
3667
+ {
3668
+ "epoch": 0.0,
3669
+ "learning_rate": 4.4936853160093636e-05,
3670
+ "loss": 3.8249,
3671
+ "step": 309248
3672
+ },
3673
+ {
3674
+ "epoch": 0.0,
3675
+ "learning_rate": 4.492848359138685e-05,
3676
+ "loss": 3.8479,
3677
+ "step": 309760
3678
+ },
3679
+ {
3680
+ "epoch": 0.0,
3681
+ "learning_rate": 4.492009764387633e-05,
3682
+ "loss": 3.8451,
3683
+ "step": 310272
3684
+ },
3685
+ {
3686
+ "epoch": 0.0,
3687
+ "learning_rate": 4.491171169636581e-05,
3688
+ "loss": 3.8422,
3689
+ "step": 310784
3690
+ },
3691
+ {
3692
+ "epoch": 0.0,
3693
+ "learning_rate": 4.4903325748855285e-05,
3694
+ "loss": 3.8407,
3695
+ "step": 311296
3696
+ },
3697
+ {
3698
+ "epoch": 0.0,
3699
+ "learning_rate": 4.48949561801485e-05,
3700
+ "loss": 3.8305,
3701
+ "step": 311808
3702
+ },
3703
+ {
3704
+ "epoch": 0.0,
3705
+ "learning_rate": 4.488657023263798e-05,
3706
+ "loss": 3.8387,
3707
+ "step": 312320
3708
+ },
3709
+ {
3710
+ "epoch": 0.0,
3711
+ "learning_rate": 4.487818428512746e-05,
3712
+ "loss": 3.8254,
3713
+ "step": 312832
3714
+ },
3715
+ {
3716
+ "epoch": 0.0,
3717
+ "learning_rate": 4.4869798337616934e-05,
3718
+ "loss": 3.8346,
3719
+ "step": 313344
3720
+ },
3721
+ {
3722
+ "epoch": 0.0,
3723
+ "learning_rate": 4.486142876891015e-05,
3724
+ "loss": 3.8314,
3725
+ "step": 313856
3726
+ },
3727
+ {
3728
+ "epoch": 0.0,
3729
+ "learning_rate": 4.485304282139963e-05,
3730
+ "loss": 3.8305,
3731
+ "step": 314368
3732
+ },
3733
+ {
3734
+ "epoch": 0.0,
3735
+ "learning_rate": 4.484465687388911e-05,
3736
+ "loss": 3.8355,
3737
+ "step": 314880
3738
+ },
3739
+ {
3740
+ "epoch": 0.0,
3741
+ "learning_rate": 4.483627092637859e-05,
3742
+ "loss": 3.8528,
3743
+ "step": 315392
3744
+ },
3745
+ {
3746
+ "epoch": 0.0,
3747
+ "learning_rate": 4.4827901357671806e-05,
3748
+ "loss": 3.8316,
3749
+ "step": 315904
3750
+ },
3751
+ {
3752
+ "epoch": 0.0,
3753
+ "learning_rate": 4.4819515410161286e-05,
3754
+ "loss": 3.8376,
3755
+ "step": 316416
3756
+ },
3757
+ {
3758
+ "epoch": 0.0,
3759
+ "learning_rate": 4.481112946265076e-05,
3760
+ "loss": 3.8319,
3761
+ "step": 316928
3762
+ },
3763
+ {
3764
+ "epoch": 0.0,
3765
+ "learning_rate": 4.480274351514024e-05,
3766
+ "loss": 3.8397,
3767
+ "step": 317440
3768
+ },
3769
+ {
3770
+ "epoch": 0.0,
3771
+ "learning_rate": 4.479435756762972e-05,
3772
+ "loss": 3.8269,
3773
+ "step": 317952
3774
+ },
3775
+ {
3776
+ "epoch": 0.0,
3777
+ "learning_rate": 4.4785987998922935e-05,
3778
+ "loss": 3.8384,
3779
+ "step": 318464
3780
+ },
3781
+ {
3782
+ "epoch": 0.0,
3783
+ "learning_rate": 4.477760205141241e-05,
3784
+ "loss": 3.8295,
3785
+ "step": 318976
3786
+ },
3787
+ {
3788
+ "epoch": 0.0,
3789
+ "learning_rate": 4.476921610390189e-05,
3790
+ "loss": 3.8259,
3791
+ "step": 319488
3792
+ },
3793
+ {
3794
+ "epoch": 0.0,
3795
+ "learning_rate": 4.476083015639137e-05,
3796
+ "loss": 3.8194,
3797
+ "step": 320000
3798
+ },
3799
+ {
3800
+ "epoch": 0.0,
3801
+ "learning_rate": 4.475246058768458e-05,
3802
+ "loss": 3.8265,
3803
+ "step": 320512
3804
+ },
3805
+ {
3806
+ "epoch": 0.01,
3807
+ "learning_rate": 4.4744074640174064e-05,
3808
+ "loss": 3.8325,
3809
+ "step": 321024
3810
+ },
3811
+ {
3812
+ "epoch": 0.01,
3813
+ "learning_rate": 4.473570507146728e-05,
3814
+ "loss": 3.8362,
3815
+ "step": 321536
3816
+ },
3817
+ {
3818
+ "epoch": 0.01,
3819
+ "learning_rate": 4.472731912395676e-05,
3820
+ "loss": 3.8364,
3821
+ "step": 322048
3822
+ },
3823
+ {
3824
+ "epoch": 0.01,
3825
+ "learning_rate": 4.471893317644623e-05,
3826
+ "loss": 3.8328,
3827
+ "step": 322560
3828
+ },
3829
+ {
3830
+ "epoch": 0.01,
3831
+ "learning_rate": 4.471054722893571e-05,
3832
+ "loss": 3.8264,
3833
+ "step": 323072
3834
+ },
3835
+ {
3836
+ "epoch": 0.01,
3837
+ "learning_rate": 4.470216128142519e-05,
3838
+ "loss": 3.838,
3839
+ "step": 323584
3840
+ },
3841
+ {
3842
+ "epoch": 0.01,
3843
+ "learning_rate": 4.469377533391467e-05,
3844
+ "loss": 3.824,
3845
+ "step": 324096
3846
+ },
3847
+ {
3848
+ "epoch": 0.01,
3849
+ "learning_rate": 4.468538938640415e-05,
3850
+ "loss": 3.8242,
3851
+ "step": 324608
3852
+ },
3853
+ {
3854
+ "epoch": 0.01,
3855
+ "learning_rate": 4.467700343889363e-05,
3856
+ "loss": 3.8115,
3857
+ "step": 325120
3858
+ },
3859
+ {
3860
+ "epoch": 0.01,
3861
+ "learning_rate": 4.466863387018684e-05,
3862
+ "loss": 3.8263,
3863
+ "step": 325632
3864
+ },
3865
+ {
3866
+ "epoch": 0.01,
3867
+ "learning_rate": 4.466024792267632e-05,
3868
+ "loss": 3.8215,
3869
+ "step": 326144
3870
+ },
3871
+ {
3872
+ "epoch": 0.01,
3873
+ "learning_rate": 4.46518619751658e-05,
3874
+ "loss": 3.8317,
3875
+ "step": 326656
3876
+ },
3877
+ {
3878
+ "epoch": 0.01,
3879
+ "learning_rate": 4.464347602765528e-05,
3880
+ "loss": 3.8259,
3881
+ "step": 327168
3882
+ },
3883
+ {
3884
+ "epoch": 0.01,
3885
+ "learning_rate": 4.46351064589485e-05,
3886
+ "loss": 3.8145,
3887
+ "step": 327680
3888
+ },
3889
+ {
3890
+ "epoch": 0.01,
3891
+ "learning_rate": 4.462672051143798e-05,
3892
+ "loss": 3.8299,
3893
+ "step": 328192
3894
+ },
3895
+ {
3896
+ "epoch": 0.01,
3897
+ "learning_rate": 4.461833456392746e-05,
3898
+ "loss": 3.8243,
3899
+ "step": 328704
3900
+ },
3901
+ {
3902
+ "epoch": 0.01,
3903
+ "learning_rate": 4.460994861641694e-05,
3904
+ "loss": 3.818,
3905
+ "step": 329216
3906
+ },
3907
+ {
3908
+ "epoch": 0.01,
3909
+ "learning_rate": 4.4601579047710146e-05,
3910
+ "loss": 3.811,
3911
+ "step": 329728
3912
+ },
3913
+ {
3914
+ "epoch": 0.01,
3915
+ "learning_rate": 4.4593193100199626e-05,
3916
+ "loss": 3.8121,
3917
+ "step": 330240
3918
+ },
3919
+ {
3920
+ "epoch": 0.01,
3921
+ "learning_rate": 4.4584807152689106e-05,
3922
+ "loss": 3.8244,
3923
+ "step": 330752
3924
+ },
3925
+ {
3926
+ "epoch": 0.01,
3927
+ "learning_rate": 4.4576421205178586e-05,
3928
+ "loss": 3.8209,
3929
+ "step": 331264
3930
+ },
3931
+ {
3932
+ "epoch": 0.01,
3933
+ "learning_rate": 4.4568051636471795e-05,
3934
+ "loss": 3.8171,
3935
+ "step": 331776
3936
+ },
3937
+ {
3938
+ "epoch": 0.01,
3939
+ "learning_rate": 4.4559665688961275e-05,
3940
+ "loss": 3.8098,
3941
+ "step": 332288
3942
+ },
3943
+ {
3944
+ "epoch": 0.01,
3945
+ "learning_rate": 4.4551279741450755e-05,
3946
+ "loss": 3.82,
3947
+ "step": 332800
3948
+ },
3949
+ {
3950
+ "epoch": 0.01,
3951
+ "learning_rate": 4.4542893793940235e-05,
3952
+ "loss": 3.8063,
3953
+ "step": 333312
3954
+ },
3955
+ {
3956
+ "epoch": 0.01,
3957
+ "learning_rate": 4.453452422523345e-05,
3958
+ "loss": 3.8224,
3959
+ "step": 333824
3960
+ },
3961
+ {
3962
+ "epoch": 0.01,
3963
+ "learning_rate": 4.452613827772293e-05,
3964
+ "loss": 3.8092,
3965
+ "step": 334336
3966
+ },
3967
+ {
3968
+ "epoch": 0.01,
3969
+ "learning_rate": 4.451775233021241e-05,
3970
+ "loss": 3.8197,
3971
+ "step": 334848
3972
+ },
3973
+ {
3974
+ "epoch": 0.01,
3975
+ "learning_rate": 4.450936638270189e-05,
3976
+ "loss": 3.8181,
3977
+ "step": 335360
3978
+ },
3979
+ {
3980
+ "epoch": 0.01,
3981
+ "learning_rate": 4.45009968139951e-05,
3982
+ "loss": 3.8123,
3983
+ "step": 335872
3984
+ },
3985
+ {
3986
+ "epoch": 0.01,
3987
+ "learning_rate": 4.449261086648458e-05,
3988
+ "loss": 3.8067,
3989
+ "step": 336384
3990
+ },
3991
+ {
3992
+ "epoch": 0.01,
3993
+ "learning_rate": 4.448422491897406e-05,
3994
+ "loss": 3.8184,
3995
+ "step": 336896
3996
+ },
3997
+ {
3998
+ "epoch": 0.01,
3999
+ "learning_rate": 4.447583897146354e-05,
4000
+ "loss": 3.8032,
4001
+ "step": 337408
4002
+ },
4003
+ {
4004
+ "epoch": 0.01,
4005
+ "learning_rate": 4.446746940275675e-05,
4006
+ "loss": 3.8108,
4007
+ "step": 337920
4008
+ },
4009
+ {
4010
+ "epoch": 0.01,
4011
+ "learning_rate": 4.445908345524623e-05,
4012
+ "loss": 3.8181,
4013
+ "step": 338432
4014
+ },
4015
+ {
4016
+ "epoch": 0.01,
4017
+ "learning_rate": 4.445069750773571e-05,
4018
+ "loss": 3.8167,
4019
+ "step": 338944
4020
+ },
4021
+ {
4022
+ "epoch": 0.01,
4023
+ "learning_rate": 4.444231156022519e-05,
4024
+ "loss": 3.805,
4025
+ "step": 339456
4026
+ },
4027
+ {
4028
+ "epoch": 0.01,
4029
+ "learning_rate": 4.4433941991518405e-05,
4030
+ "loss": 3.8079,
4031
+ "step": 339968
4032
+ },
4033
+ {
4034
+ "epoch": 0.01,
4035
+ "learning_rate": 4.4425556044007885e-05,
4036
+ "loss": 3.8052,
4037
+ "step": 340480
4038
+ },
4039
+ {
4040
+ "epoch": 0.01,
4041
+ "learning_rate": 4.4417170096497365e-05,
4042
+ "loss": 3.8049,
4043
+ "step": 340992
4044
+ },
4045
+ {
4046
+ "epoch": 0.01,
4047
+ "learning_rate": 4.4408784148986845e-05,
4048
+ "loss": 3.8204,
4049
+ "step": 341504
4050
+ },
4051
+ {
4052
+ "epoch": 0.01,
4053
+ "learning_rate": 4.4400414580280054e-05,
4054
+ "loss": 3.8134,
4055
+ "step": 342016
4056
+ },
4057
+ {
4058
+ "epoch": 0.01,
4059
+ "learning_rate": 4.4392028632769534e-05,
4060
+ "loss": 3.825,
4061
+ "step": 342528
4062
+ },
4063
+ {
4064
+ "epoch": 0.01,
4065
+ "learning_rate": 4.4383642685259014e-05,
4066
+ "loss": 3.8221,
4067
+ "step": 343040
4068
+ },
4069
+ {
4070
+ "epoch": 0.01,
4071
+ "learning_rate": 4.4375256737748494e-05,
4072
+ "loss": 3.8214,
4073
+ "step": 343552
4074
+ },
4075
+ {
4076
+ "epoch": 0.01,
4077
+ "learning_rate": 4.43668871690417e-05,
4078
+ "loss": 3.8011,
4079
+ "step": 344064
4080
+ },
4081
+ {
4082
+ "epoch": 0.01,
4083
+ "learning_rate": 4.435850122153118e-05,
4084
+ "loss": 3.8134,
4085
+ "step": 344576
4086
+ },
4087
+ {
4088
+ "epoch": 0.01,
4089
+ "learning_rate": 4.435011527402066e-05,
4090
+ "loss": 3.8216,
4091
+ "step": 345088
4092
+ },
4093
+ {
4094
+ "epoch": 0.01,
4095
+ "learning_rate": 4.434172932651014e-05,
4096
+ "loss": 3.8083,
4097
+ "step": 345600
4098
+ },
4099
+ {
4100
+ "epoch": 0.01,
4101
+ "learning_rate": 4.433335975780336e-05,
4102
+ "loss": 3.8094,
4103
+ "step": 346112
4104
+ },
4105
+ {
4106
+ "epoch": 0.01,
4107
+ "learning_rate": 4.432497381029284e-05,
4108
+ "loss": 3.8129,
4109
+ "step": 346624
4110
+ },
4111
+ {
4112
+ "epoch": 0.01,
4113
+ "learning_rate": 4.431658786278232e-05,
4114
+ "loss": 3.8281,
4115
+ "step": 347136
4116
+ },
4117
+ {
4118
+ "epoch": 0.01,
4119
+ "learning_rate": 4.43082019152718e-05,
4120
+ "loss": 3.8089,
4121
+ "step": 347648
4122
+ },
4123
+ {
4124
+ "epoch": 0.01,
4125
+ "learning_rate": 4.429983234656501e-05,
4126
+ "loss": 3.795,
4127
+ "step": 348160
4128
+ },
4129
+ {
4130
+ "epoch": 0.01,
4131
+ "learning_rate": 4.429144639905449e-05,
4132
+ "loss": 3.8057,
4133
+ "step": 348672
4134
+ },
4135
+ {
4136
+ "epoch": 0.01,
4137
+ "learning_rate": 4.428306045154397e-05,
4138
+ "loss": 3.8111,
4139
+ "step": 349184
4140
+ },
4141
+ {
4142
+ "epoch": 0.01,
4143
+ "learning_rate": 4.427467450403345e-05,
4144
+ "loss": 3.8137,
4145
+ "step": 349696
4146
+ },
4147
+ {
4148
+ "epoch": 0.01,
4149
+ "learning_rate": 4.426628855652293e-05,
4150
+ "loss": 3.8146,
4151
+ "step": 350208
4152
+ },
4153
+ {
4154
+ "epoch": 0.01,
4155
+ "learning_rate": 4.4257918987816136e-05,
4156
+ "loss": 3.8016,
4157
+ "step": 350720
4158
+ },
4159
+ {
4160
+ "epoch": 0.02,
4161
+ "learning_rate": 4.4249533040305616e-05,
4162
+ "loss": 3.8054,
4163
+ "step": 351232
4164
+ },
4165
+ {
4166
+ "epoch": 0.02,
4167
+ "learning_rate": 4.4241147092795096e-05,
4168
+ "loss": 3.8025,
4169
+ "step": 351744
4170
+ },
4171
+ {
4172
+ "epoch": 0.02,
4173
+ "learning_rate": 4.4232761145284576e-05,
4174
+ "loss": 3.7991,
4175
+ "step": 352256
4176
+ },
4177
+ {
4178
+ "epoch": 0.02,
4179
+ "learning_rate": 4.422439157657779e-05,
4180
+ "loss": 3.8068,
4181
+ "step": 352768
4182
+ },
4183
+ {
4184
+ "epoch": 0.02,
4185
+ "learning_rate": 4.421600562906727e-05,
4186
+ "loss": 3.813,
4187
+ "step": 353280
4188
+ },
4189
+ {
4190
+ "epoch": 0.02,
4191
+ "learning_rate": 4.420761968155675e-05,
4192
+ "loss": 3.8276,
4193
+ "step": 353792
4194
+ },
4195
+ {
4196
+ "epoch": 0.02,
4197
+ "learning_rate": 4.419923373404623e-05,
4198
+ "loss": 3.8104,
4199
+ "step": 354304
4200
+ },
4201
+ {
4202
+ "epoch": 0.02,
4203
+ "learning_rate": 4.419086416533944e-05,
4204
+ "loss": 3.794,
4205
+ "step": 354816
4206
+ },
4207
+ {
4208
+ "epoch": 0.02,
4209
+ "learning_rate": 4.418247821782892e-05,
4210
+ "loss": 3.8053,
4211
+ "step": 355328
4212
+ },
4213
+ {
4214
+ "epoch": 0.02,
4215
+ "learning_rate": 4.41740922703184e-05,
4216
+ "loss": 3.8016,
4217
+ "step": 355840
4218
+ },
4219
+ {
4220
+ "epoch": 0.02,
4221
+ "learning_rate": 4.416570632280788e-05,
4222
+ "loss": 3.814,
4223
+ "step": 356352
4224
+ },
4225
+ {
4226
+ "epoch": 0.02,
4227
+ "learning_rate": 4.415733675410109e-05,
4228
+ "loss": 3.8096,
4229
+ "step": 356864
4230
+ },
4231
+ {
4232
+ "epoch": 0.02,
4233
+ "learning_rate": 4.414895080659057e-05,
4234
+ "loss": 3.8048,
4235
+ "step": 357376
4236
+ },
4237
+ {
4238
+ "epoch": 0.02,
4239
+ "learning_rate": 4.414056485908005e-05,
4240
+ "loss": 3.7996,
4241
+ "step": 357888
4242
+ },
4243
+ {
4244
+ "epoch": 0.02,
4245
+ "learning_rate": 4.413217891156953e-05,
4246
+ "loss": 3.8103,
4247
+ "step": 358400
4248
+ },
4249
+ {
4250
+ "epoch": 0.02,
4251
+ "learning_rate": 4.4123809342862746e-05,
4252
+ "loss": 3.7881,
4253
+ "step": 358912
4254
+ },
4255
+ {
4256
+ "epoch": 0.02,
4257
+ "learning_rate": 4.4115423395352226e-05,
4258
+ "loss": 3.8032,
4259
+ "step": 359424
4260
+ },
4261
+ {
4262
+ "epoch": 0.02,
4263
+ "learning_rate": 4.4107037447841706e-05,
4264
+ "loss": 3.7911,
4265
+ "step": 359936
4266
+ },
4267
+ {
4268
+ "epoch": 0.02,
4269
+ "learning_rate": 4.4098651500331186e-05,
4270
+ "loss": 3.8096,
4271
+ "step": 360448
4272
+ },
4273
+ {
4274
+ "epoch": 0.02,
4275
+ "learning_rate": 4.4090281931624395e-05,
4276
+ "loss": 3.7975,
4277
+ "step": 360960
4278
+ },
4279
+ {
4280
+ "epoch": 0.02,
4281
+ "learning_rate": 4.4081895984113875e-05,
4282
+ "loss": 3.8,
4283
+ "step": 361472
4284
+ },
4285
+ {
4286
+ "epoch": 0.02,
4287
+ "learning_rate": 4.4073510036603355e-05,
4288
+ "loss": 3.7932,
4289
+ "step": 361984
4290
+ },
4291
+ {
4292
+ "epoch": 0.02,
4293
+ "learning_rate": 4.4065124089092835e-05,
4294
+ "loss": 3.7995,
4295
+ "step": 362496
4296
+ },
4297
+ {
4298
+ "epoch": 0.02,
4299
+ "learning_rate": 4.4056754520386044e-05,
4300
+ "loss": 3.8015,
4301
+ "step": 363008
4302
+ },
4303
+ {
4304
+ "epoch": 0.02,
4305
+ "learning_rate": 4.4048368572875524e-05,
4306
+ "loss": 3.8002,
4307
+ "step": 363520
4308
+ },
4309
+ {
4310
+ "epoch": 0.02,
4311
+ "learning_rate": 4.4039982625365004e-05,
4312
+ "loss": 3.8142,
4313
+ "step": 364032
4314
+ },
4315
+ {
4316
+ "epoch": 0.02,
4317
+ "learning_rate": 4.4031596677854484e-05,
4318
+ "loss": 3.8119,
4319
+ "step": 364544
4320
+ },
4321
+ {
4322
+ "epoch": 0.02,
4323
+ "learning_rate": 4.402324348795143e-05,
4324
+ "loss": 3.8039,
4325
+ "step": 365056
4326
+ },
4327
+ {
4328
+ "epoch": 0.02,
4329
+ "learning_rate": 4.401485754044091e-05,
4330
+ "loss": 3.7973,
4331
+ "step": 365568
4332
+ },
4333
+ {
4334
+ "epoch": 0.02,
4335
+ "learning_rate": 4.400647159293039e-05,
4336
+ "loss": 3.7993,
4337
+ "step": 366080
4338
+ },
4339
+ {
4340
+ "epoch": 0.02,
4341
+ "learning_rate": 4.399808564541987e-05,
4342
+ "loss": 3.8063,
4343
+ "step": 366592
4344
+ },
4345
+ {
4346
+ "epoch": 0.02,
4347
+ "learning_rate": 4.398969969790935e-05,
4348
+ "loss": 3.7871,
4349
+ "step": 367104
4350
+ },
4351
+ {
4352
+ "epoch": 0.02,
4353
+ "learning_rate": 4.398131375039883e-05,
4354
+ "loss": 3.8015,
4355
+ "step": 367616
4356
+ },
4357
+ {
4358
+ "epoch": 0.02,
4359
+ "learning_rate": 4.397292780288831e-05,
4360
+ "loss": 3.7911,
4361
+ "step": 368128
4362
+ },
4363
+ {
4364
+ "epoch": 0.02,
4365
+ "learning_rate": 4.396454185537778e-05,
4366
+ "loss": 3.7985,
4367
+ "step": 368640
4368
+ },
4369
+ {
4370
+ "epoch": 0.02,
4371
+ "learning_rate": 4.3956172286671e-05,
4372
+ "loss": 3.7961,
4373
+ "step": 369152
4374
+ },
4375
+ {
4376
+ "epoch": 0.02,
4377
+ "learning_rate": 4.394778633916048e-05,
4378
+ "loss": 3.7957,
4379
+ "step": 369664
4380
+ },
4381
+ {
4382
+ "epoch": 0.02,
4383
+ "learning_rate": 4.393940039164996e-05,
4384
+ "loss": 3.7875,
4385
+ "step": 370176
4386
+ },
4387
+ {
4388
+ "epoch": 0.02,
4389
+ "learning_rate": 4.393101444413944e-05,
4390
+ "loss": 3.7998,
4391
+ "step": 370688
4392
+ },
4393
+ {
4394
+ "epoch": 0.02,
4395
+ "learning_rate": 4.392264487543265e-05,
4396
+ "loss": 3.787,
4397
+ "step": 371200
4398
+ },
4399
+ {
4400
+ "epoch": 0.02,
4401
+ "learning_rate": 4.391425892792213e-05,
4402
+ "loss": 3.8083,
4403
+ "step": 371712
4404
+ },
4405
+ {
4406
+ "epoch": 0.02,
4407
+ "learning_rate": 4.3905872980411606e-05,
4408
+ "loss": 3.8018,
4409
+ "step": 372224
4410
+ },
4411
+ {
4412
+ "epoch": 0.02,
4413
+ "learning_rate": 4.3897487032901086e-05,
4414
+ "loss": 3.811,
4415
+ "step": 372736
4416
+ },
4417
+ {
4418
+ "epoch": 0.02,
4419
+ "learning_rate": 4.3889101085390566e-05,
4420
+ "loss": 3.7797,
4421
+ "step": 373248
4422
+ },
4423
+ {
4424
+ "epoch": 0.02,
4425
+ "learning_rate": 4.388073151668378e-05,
4426
+ "loss": 3.8007,
4427
+ "step": 373760
4428
+ },
4429
+ {
4430
+ "epoch": 0.02,
4431
+ "learning_rate": 4.3872345569173255e-05,
4432
+ "loss": 3.8022,
4433
+ "step": 374272
4434
+ },
4435
+ {
4436
+ "epoch": 0.02,
4437
+ "learning_rate": 4.3863959621662735e-05,
4438
+ "loss": 3.8001,
4439
+ "step": 374784
4440
+ },
4441
+ {
4442
+ "epoch": 0.02,
4443
+ "learning_rate": 4.3855573674152215e-05,
4444
+ "loss": 3.7986,
4445
+ "step": 375296
4446
+ },
4447
+ {
4448
+ "epoch": 0.02,
4449
+ "learning_rate": 4.3847204105445424e-05,
4450
+ "loss": 3.7983,
4451
+ "step": 375808
4452
+ },
4453
+ {
4454
+ "epoch": 0.02,
4455
+ "learning_rate": 4.383881815793491e-05,
4456
+ "loss": 3.7936,
4457
+ "step": 376320
4458
+ },
4459
+ {
4460
+ "epoch": 0.02,
4461
+ "learning_rate": 4.383043221042439e-05,
4462
+ "loss": 3.8048,
4463
+ "step": 376832
4464
+ },
4465
+ {
4466
+ "epoch": 0.02,
4467
+ "learning_rate": 4.382204626291387e-05,
4468
+ "loss": 3.7887,
4469
+ "step": 377344
4470
+ },
4471
+ {
4472
+ "epoch": 0.02,
4473
+ "learning_rate": 4.381367669420708e-05,
4474
+ "loss": 3.8003,
4475
+ "step": 377856
4476
+ },
4477
+ {
4478
+ "epoch": 0.02,
4479
+ "learning_rate": 4.380529074669656e-05,
4480
+ "loss": 3.7963,
4481
+ "step": 378368
4482
+ },
4483
+ {
4484
+ "epoch": 0.02,
4485
+ "learning_rate": 4.379690479918604e-05,
4486
+ "loss": 3.7886,
4487
+ "step": 378880
4488
+ },
4489
+ {
4490
+ "epoch": 0.02,
4491
+ "learning_rate": 4.378851885167552e-05,
4492
+ "loss": 3.7971,
4493
+ "step": 379392
4494
+ },
4495
+ {
4496
+ "epoch": 0.02,
4497
+ "learning_rate": 4.378014928296873e-05,
4498
+ "loss": 3.8021,
4499
+ "step": 379904
4500
+ },
4501
+ {
4502
+ "epoch": 0.02,
4503
+ "learning_rate": 4.377176333545821e-05,
4504
+ "loss": 3.7943,
4505
+ "step": 380416
4506
+ },
4507
+ {
4508
+ "epoch": 0.02,
4509
+ "learning_rate": 4.376337738794769e-05,
4510
+ "loss": 3.782,
4511
+ "step": 380928
4512
+ },
4513
+ {
4514
+ "epoch": 0.02,
4515
+ "learning_rate": 4.375499144043717e-05,
4516
+ "loss": 3.7917,
4517
+ "step": 381440
4518
+ },
4519
+ {
4520
+ "epoch": 0.03,
4521
+ "eval_loss": 3.8861355781555176,
4522
+ "eval_runtime": 312.6961,
4523
+ "eval_samples_per_second": 1220.325,
4524
+ "eval_steps_per_second": 38.136,
4525
+ "step": 381600
4526
+ }
4527
+ ],
4528
+ "logging_steps": 512,
4529
+ "max_steps": 3052726,
4530
+ "num_train_epochs": 9223372036854775807,
4531
+ "save_steps": 10,
4532
+ "total_flos": 2.661013841810688e+17,
4533
+ "trial_name": null,
4534
+ "trial_params": null
4535
+ }
checkpoint-381600/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:52b6b0a6e8168adb7cdb0994bec21fe2788c25f9276b1d7c8fabfe922ba960f6
3
+ size 4219