de-Rodrigo commited on
Commit
f3651eb
·
1 Parent(s): c35ec4d

Upload v1 model (10k samples, 2k steps)

Browse files
config.json ADDED
@@ -0,0 +1,70 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "philschmid/bart-large-cnn-samsum",
3
+ "_num_labels": 3,
4
+ "activation_dropout": 0.0,
5
+ "activation_function": "gelu",
6
+ "add_final_layer_norm": false,
7
+ "architectures": [
8
+ "BartForConditionalGeneration"
9
+ ],
10
+ "attention_dropout": 0.0,
11
+ "bos_token_id": 0,
12
+ "classif_dropout": 0.0,
13
+ "classifier_dropout": 0.0,
14
+ "d_model": 1024,
15
+ "decoder_attention_heads": 16,
16
+ "decoder_ffn_dim": 4096,
17
+ "decoder_layerdrop": 0.0,
18
+ "decoder_layers": 12,
19
+ "decoder_start_token_id": 2,
20
+ "dropout": 0.1,
21
+ "early_stopping": true,
22
+ "encoder_attention_heads": 16,
23
+ "encoder_ffn_dim": 4096,
24
+ "encoder_layerdrop": 0.0,
25
+ "encoder_layers": 12,
26
+ "eos_token_id": 2,
27
+ "force_bos_token_to_be_generated": true,
28
+ "forced_bos_token_id": 0,
29
+ "forced_eos_token_id": 2,
30
+ "gradient_checkpointing": false,
31
+ "id2label": {
32
+ "0": "LABEL_0",
33
+ "1": "LABEL_1",
34
+ "2": "LABEL_2"
35
+ },
36
+ "init_std": 0.02,
37
+ "is_encoder_decoder": true,
38
+ "label2id": {
39
+ "LABEL_0": 0,
40
+ "LABEL_1": 1,
41
+ "LABEL_2": 2
42
+ },
43
+ "length_penalty": 2.0,
44
+ "max_length": 142,
45
+ "max_position_embeddings": 1024,
46
+ "min_length": 56,
47
+ "model_type": "bart",
48
+ "no_repeat_ngram_size": 3,
49
+ "normalize_before": false,
50
+ "num_beams": 4,
51
+ "num_hidden_layers": 12,
52
+ "output_past": true,
53
+ "pad_token_id": 1,
54
+ "prefix": " ",
55
+ "scale_embedding": false,
56
+ "task_specific_params": {
57
+ "summarization": {
58
+ "early_stopping": true,
59
+ "length_penalty": 2.0,
60
+ "max_length": 142,
61
+ "min_length": 56,
62
+ "no_repeat_ngram_size": 3,
63
+ "num_beams": 4
64
+ }
65
+ },
66
+ "torch_dtype": "float32",
67
+ "transformers_version": "4.31.0.dev0",
68
+ "use_cache": true,
69
+ "vocab_size": 50264
70
+ }
generation_config.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_from_model_config": true,
3
+ "bos_token_id": 0,
4
+ "decoder_start_token_id": 2,
5
+ "early_stopping": true,
6
+ "eos_token_id": 2,
7
+ "forced_bos_token_id": 0,
8
+ "forced_eos_token_id": 2,
9
+ "length_penalty": 2.0,
10
+ "max_length": 142,
11
+ "min_length": 56,
12
+ "no_repeat_ngram_size": 3,
13
+ "num_beams": 4,
14
+ "pad_token_id": 1,
15
+ "transformers_version": "4.31.0.dev0"
16
+ }
merges.txt ADDED
The diff for this file is too large to render. See raw diff
 
optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2269ba175c0ddb85ee39653cf80fdc8b608fadb676cf88ffda4a5da3ec8cd6c6
3
+ size 3250623963
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b5bae1961e1eb654de469a18628bea3d1b9f358fe15078c50490ff9637751294
3
+ size 1625537293
rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:afaa7d2204af1b9ea9d5f56de32581dab41698f7e6d7cc921c4220c5540af0da
3
+ size 14575
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5f2bb79ec8fdedf4ae57cb390e5769bf8e41e5a8c164fae4510e68640d13abcd
3
+ size 627
special_tokens_map.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": "<s>",
3
+ "cls_token": "<s>",
4
+ "eos_token": "</s>",
5
+ "mask_token": {
6
+ "content": "<mask>",
7
+ "lstrip": true,
8
+ "normalized": false,
9
+ "rstrip": false,
10
+ "single_word": false
11
+ },
12
+ "pad_token": "<pad>",
13
+ "sep_token": "</s>",
14
+ "unk_token": "<unk>"
15
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1,64 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_prefix_space": false,
3
+ "bos_token": {
4
+ "__type": "AddedToken",
5
+ "content": "<s>",
6
+ "lstrip": false,
7
+ "normalized": true,
8
+ "rstrip": false,
9
+ "single_word": false
10
+ },
11
+ "clean_up_tokenization_spaces": true,
12
+ "cls_token": {
13
+ "__type": "AddedToken",
14
+ "content": "<s>",
15
+ "lstrip": false,
16
+ "normalized": true,
17
+ "rstrip": false,
18
+ "single_word": false
19
+ },
20
+ "eos_token": {
21
+ "__type": "AddedToken",
22
+ "content": "</s>",
23
+ "lstrip": false,
24
+ "normalized": true,
25
+ "rstrip": false,
26
+ "single_word": false
27
+ },
28
+ "errors": "replace",
29
+ "mask_token": {
30
+ "__type": "AddedToken",
31
+ "content": "<mask>",
32
+ "lstrip": true,
33
+ "normalized": true,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "model_max_length": 1024,
38
+ "pad_token": {
39
+ "__type": "AddedToken",
40
+ "content": "<pad>",
41
+ "lstrip": false,
42
+ "normalized": true,
43
+ "rstrip": false,
44
+ "single_word": false
45
+ },
46
+ "sep_token": {
47
+ "__type": "AddedToken",
48
+ "content": "</s>",
49
+ "lstrip": false,
50
+ "normalized": true,
51
+ "rstrip": false,
52
+ "single_word": false
53
+ },
54
+ "tokenizer_class": "BartTokenizer",
55
+ "trim_offsets": true,
56
+ "unk_token": {
57
+ "__type": "AddedToken",
58
+ "content": "<unk>",
59
+ "lstrip": false,
60
+ "normalized": true,
61
+ "rstrip": false,
62
+ "single_word": false
63
+ }
64
+ }
trainer_state.json ADDED
@@ -0,0 +1,2480 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.3787956237792969,
3
+ "best_model_checkpoint": "test-calls-summarization/checkpoint-1000",
4
+ "epoch": 25.579536370903277,
5
+ "global_step": 2000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.06,
12
+ "learning_rate": 4.9999999999999996e-05,
13
+ "loss": 2.0533,
14
+ "step": 5
15
+ },
16
+ {
17
+ "epoch": 0.13,
18
+ "learning_rate": 9.999999999999999e-05,
19
+ "loss": 1.0512,
20
+ "step": 10
21
+ },
22
+ {
23
+ "epoch": 0.19,
24
+ "learning_rate": 0.00015,
25
+ "loss": 0.7919,
26
+ "step": 15
27
+ },
28
+ {
29
+ "epoch": 0.26,
30
+ "learning_rate": 0.00019999999999999998,
31
+ "loss": 0.6876,
32
+ "step": 20
33
+ },
34
+ {
35
+ "epoch": 0.32,
36
+ "learning_rate": 0.00025,
37
+ "loss": 0.6567,
38
+ "step": 25
39
+ },
40
+ {
41
+ "epoch": 0.38,
42
+ "learning_rate": 0.0003,
43
+ "loss": 0.6271,
44
+ "step": 30
45
+ },
46
+ {
47
+ "epoch": 0.45,
48
+ "learning_rate": 0.0002998495486459378,
49
+ "loss": 0.5943,
50
+ "step": 35
51
+ },
52
+ {
53
+ "epoch": 0.51,
54
+ "learning_rate": 0.00029969909729187557,
55
+ "loss": 0.5666,
56
+ "step": 40
57
+ },
58
+ {
59
+ "epoch": 0.58,
60
+ "learning_rate": 0.0002995486459378134,
61
+ "loss": 0.5603,
62
+ "step": 45
63
+ },
64
+ {
65
+ "epoch": 0.64,
66
+ "learning_rate": 0.0002993981945837512,
67
+ "loss": 0.5282,
68
+ "step": 50
69
+ },
70
+ {
71
+ "epoch": 0.7,
72
+ "learning_rate": 0.00029924774322968905,
73
+ "loss": 0.5173,
74
+ "step": 55
75
+ },
76
+ {
77
+ "epoch": 0.77,
78
+ "learning_rate": 0.00029909729187562687,
79
+ "loss": 0.5011,
80
+ "step": 60
81
+ },
82
+ {
83
+ "epoch": 0.83,
84
+ "learning_rate": 0.0002989468405215647,
85
+ "loss": 0.4926,
86
+ "step": 65
87
+ },
88
+ {
89
+ "epoch": 0.9,
90
+ "learning_rate": 0.00029879638916750247,
91
+ "loss": 0.478,
92
+ "step": 70
93
+ },
94
+ {
95
+ "epoch": 0.96,
96
+ "learning_rate": 0.0002986459378134403,
97
+ "loss": 0.4766,
98
+ "step": 75
99
+ },
100
+ {
101
+ "epoch": 1.02,
102
+ "learning_rate": 0.0002984954864593781,
103
+ "loss": 0.4756,
104
+ "step": 80
105
+ },
106
+ {
107
+ "epoch": 1.09,
108
+ "learning_rate": 0.0002983450351053159,
109
+ "loss": 0.4229,
110
+ "step": 85
111
+ },
112
+ {
113
+ "epoch": 1.15,
114
+ "learning_rate": 0.0002981945837512537,
115
+ "loss": 0.4239,
116
+ "step": 90
117
+ },
118
+ {
119
+ "epoch": 1.22,
120
+ "learning_rate": 0.00029804413239719154,
121
+ "loss": 0.431,
122
+ "step": 95
123
+ },
124
+ {
125
+ "epoch": 1.28,
126
+ "learning_rate": 0.00029789368104312936,
127
+ "loss": 0.4333,
128
+ "step": 100
129
+ },
130
+ {
131
+ "epoch": 1.34,
132
+ "learning_rate": 0.0002977432296890672,
133
+ "loss": 0.4218,
134
+ "step": 105
135
+ },
136
+ {
137
+ "epoch": 1.41,
138
+ "learning_rate": 0.000297592778335005,
139
+ "loss": 0.4357,
140
+ "step": 110
141
+ },
142
+ {
143
+ "epoch": 1.47,
144
+ "learning_rate": 0.0002974423269809428,
145
+ "loss": 0.4197,
146
+ "step": 115
147
+ },
148
+ {
149
+ "epoch": 1.53,
150
+ "learning_rate": 0.0002972918756268806,
151
+ "loss": 0.4213,
152
+ "step": 120
153
+ },
154
+ {
155
+ "epoch": 1.6,
156
+ "learning_rate": 0.00029714142427281844,
157
+ "loss": 0.4087,
158
+ "step": 125
159
+ },
160
+ {
161
+ "epoch": 1.66,
162
+ "learning_rate": 0.0002969909729187562,
163
+ "loss": 0.4041,
164
+ "step": 130
165
+ },
166
+ {
167
+ "epoch": 1.73,
168
+ "learning_rate": 0.00029684052156469403,
169
+ "loss": 0.4103,
170
+ "step": 135
171
+ },
172
+ {
173
+ "epoch": 1.79,
174
+ "learning_rate": 0.00029669007021063186,
175
+ "loss": 0.4009,
176
+ "step": 140
177
+ },
178
+ {
179
+ "epoch": 1.85,
180
+ "learning_rate": 0.0002965396188565697,
181
+ "loss": 0.4077,
182
+ "step": 145
183
+ },
184
+ {
185
+ "epoch": 1.92,
186
+ "learning_rate": 0.0002963891675025075,
187
+ "loss": 0.4257,
188
+ "step": 150
189
+ },
190
+ {
191
+ "epoch": 1.98,
192
+ "learning_rate": 0.00029623871614844533,
193
+ "loss": 0.4111,
194
+ "step": 155
195
+ },
196
+ {
197
+ "epoch": 2.05,
198
+ "learning_rate": 0.0002960882647943831,
199
+ "loss": 0.3634,
200
+ "step": 160
201
+ },
202
+ {
203
+ "epoch": 2.11,
204
+ "learning_rate": 0.00029593781344032093,
205
+ "loss": 0.3532,
206
+ "step": 165
207
+ },
208
+ {
209
+ "epoch": 2.17,
210
+ "learning_rate": 0.00029578736208625875,
211
+ "loss": 0.3591,
212
+ "step": 170
213
+ },
214
+ {
215
+ "epoch": 2.24,
216
+ "learning_rate": 0.0002956369107321965,
217
+ "loss": 0.3506,
218
+ "step": 175
219
+ },
220
+ {
221
+ "epoch": 2.3,
222
+ "learning_rate": 0.00029548645937813435,
223
+ "loss": 0.3494,
224
+ "step": 180
225
+ },
226
+ {
227
+ "epoch": 2.37,
228
+ "learning_rate": 0.0002953360080240722,
229
+ "loss": 0.3598,
230
+ "step": 185
231
+ },
232
+ {
233
+ "epoch": 2.43,
234
+ "learning_rate": 0.00029518555667001,
235
+ "loss": 0.3656,
236
+ "step": 190
237
+ },
238
+ {
239
+ "epoch": 2.49,
240
+ "learning_rate": 0.0002950351053159478,
241
+ "loss": 0.351,
242
+ "step": 195
243
+ },
244
+ {
245
+ "epoch": 2.56,
246
+ "learning_rate": 0.00029488465396188565,
247
+ "loss": 0.3589,
248
+ "step": 200
249
+ },
250
+ {
251
+ "epoch": 2.62,
252
+ "learning_rate": 0.0002947342026078234,
253
+ "loss": 0.3564,
254
+ "step": 205
255
+ },
256
+ {
257
+ "epoch": 2.69,
258
+ "learning_rate": 0.00029458375125376125,
259
+ "loss": 0.3665,
260
+ "step": 210
261
+ },
262
+ {
263
+ "epoch": 2.75,
264
+ "learning_rate": 0.0002944332998996991,
265
+ "loss": 0.3472,
266
+ "step": 215
267
+ },
268
+ {
269
+ "epoch": 2.81,
270
+ "learning_rate": 0.0002942828485456369,
271
+ "loss": 0.3876,
272
+ "step": 220
273
+ },
274
+ {
275
+ "epoch": 2.88,
276
+ "learning_rate": 0.0002941323971915747,
277
+ "loss": 0.3831,
278
+ "step": 225
279
+ },
280
+ {
281
+ "epoch": 2.94,
282
+ "learning_rate": 0.00029398194583751255,
283
+ "loss": 0.3597,
284
+ "step": 230
285
+ },
286
+ {
287
+ "epoch": 3.01,
288
+ "learning_rate": 0.0002938314944834503,
289
+ "loss": 0.3781,
290
+ "step": 235
291
+ },
292
+ {
293
+ "epoch": 3.07,
294
+ "learning_rate": 0.00029368104312938815,
295
+ "loss": 0.3078,
296
+ "step": 240
297
+ },
298
+ {
299
+ "epoch": 3.13,
300
+ "learning_rate": 0.00029353059177532597,
301
+ "loss": 0.2986,
302
+ "step": 245
303
+ },
304
+ {
305
+ "epoch": 3.2,
306
+ "learning_rate": 0.00029338014042126374,
307
+ "loss": 0.3031,
308
+ "step": 250
309
+ },
310
+ {
311
+ "epoch": 3.2,
312
+ "eval_loss": 0.9930399656295776,
313
+ "eval_runtime": 0.3176,
314
+ "eval_samples_per_second": 31.491,
315
+ "eval_steps_per_second": 3.149,
316
+ "step": 250
317
+ },
318
+ {
319
+ "epoch": 3.26,
320
+ "learning_rate": 0.00029322968906720157,
321
+ "loss": 0.3132,
322
+ "step": 255
323
+ },
324
+ {
325
+ "epoch": 3.33,
326
+ "learning_rate": 0.0002930792377131394,
327
+ "loss": 0.3044,
328
+ "step": 260
329
+ },
330
+ {
331
+ "epoch": 3.39,
332
+ "learning_rate": 0.0002929287863590772,
333
+ "loss": 0.3154,
334
+ "step": 265
335
+ },
336
+ {
337
+ "epoch": 3.45,
338
+ "learning_rate": 0.00029277833500501504,
339
+ "loss": 0.3143,
340
+ "step": 270
341
+ },
342
+ {
343
+ "epoch": 3.52,
344
+ "learning_rate": 0.00029262788365095287,
345
+ "loss": 0.3169,
346
+ "step": 275
347
+ },
348
+ {
349
+ "epoch": 3.58,
350
+ "learning_rate": 0.00029247743229689064,
351
+ "loss": 0.3181,
352
+ "step": 280
353
+ },
354
+ {
355
+ "epoch": 3.65,
356
+ "learning_rate": 0.00029232698094282846,
357
+ "loss": 0.3227,
358
+ "step": 285
359
+ },
360
+ {
361
+ "epoch": 3.71,
362
+ "learning_rate": 0.0002921765295887663,
363
+ "loss": 0.3181,
364
+ "step": 290
365
+ },
366
+ {
367
+ "epoch": 3.77,
368
+ "learning_rate": 0.00029202607823470406,
369
+ "loss": 0.3528,
370
+ "step": 295
371
+ },
372
+ {
373
+ "epoch": 3.84,
374
+ "learning_rate": 0.0002918756268806419,
375
+ "loss": 0.3341,
376
+ "step": 300
377
+ },
378
+ {
379
+ "epoch": 3.9,
380
+ "learning_rate": 0.0002917251755265797,
381
+ "loss": 0.3274,
382
+ "step": 305
383
+ },
384
+ {
385
+ "epoch": 3.96,
386
+ "learning_rate": 0.00029157472417251754,
387
+ "loss": 0.3227,
388
+ "step": 310
389
+ },
390
+ {
391
+ "epoch": 4.03,
392
+ "learning_rate": 0.00029142427281845536,
393
+ "loss": 0.3069,
394
+ "step": 315
395
+ },
396
+ {
397
+ "epoch": 4.09,
398
+ "learning_rate": 0.0002912738214643932,
399
+ "loss": 0.2687,
400
+ "step": 320
401
+ },
402
+ {
403
+ "epoch": 4.16,
404
+ "learning_rate": 0.00029112337011033096,
405
+ "loss": 0.2736,
406
+ "step": 325
407
+ },
408
+ {
409
+ "epoch": 4.22,
410
+ "learning_rate": 0.0002909729187562688,
411
+ "loss": 0.2736,
412
+ "step": 330
413
+ },
414
+ {
415
+ "epoch": 4.28,
416
+ "learning_rate": 0.0002908224674022066,
417
+ "loss": 0.2684,
418
+ "step": 335
419
+ },
420
+ {
421
+ "epoch": 4.35,
422
+ "learning_rate": 0.0002906720160481444,
423
+ "loss": 0.2608,
424
+ "step": 340
425
+ },
426
+ {
427
+ "epoch": 4.41,
428
+ "learning_rate": 0.0002905215646940822,
429
+ "loss": 0.2688,
430
+ "step": 345
431
+ },
432
+ {
433
+ "epoch": 4.48,
434
+ "learning_rate": 0.00029037111334002003,
435
+ "loss": 0.3065,
436
+ "step": 350
437
+ },
438
+ {
439
+ "epoch": 4.54,
440
+ "learning_rate": 0.00029022066198595785,
441
+ "loss": 0.2872,
442
+ "step": 355
443
+ },
444
+ {
445
+ "epoch": 4.6,
446
+ "learning_rate": 0.0002900702106318957,
447
+ "loss": 0.285,
448
+ "step": 360
449
+ },
450
+ {
451
+ "epoch": 4.67,
452
+ "learning_rate": 0.0002899197592778335,
453
+ "loss": 0.4004,
454
+ "step": 365
455
+ },
456
+ {
457
+ "epoch": 4.73,
458
+ "learning_rate": 0.0002897693079237713,
459
+ "loss": 0.2869,
460
+ "step": 370
461
+ },
462
+ {
463
+ "epoch": 4.8,
464
+ "learning_rate": 0.0002896188565697091,
465
+ "loss": 0.288,
466
+ "step": 375
467
+ },
468
+ {
469
+ "epoch": 4.86,
470
+ "learning_rate": 0.0002894684052156469,
471
+ "loss": 0.2779,
472
+ "step": 380
473
+ },
474
+ {
475
+ "epoch": 4.92,
476
+ "learning_rate": 0.0002893179538615847,
477
+ "loss": 0.2856,
478
+ "step": 385
479
+ },
480
+ {
481
+ "epoch": 4.99,
482
+ "learning_rate": 0.0002891675025075225,
483
+ "loss": 0.3069,
484
+ "step": 390
485
+ },
486
+ {
487
+ "epoch": 5.05,
488
+ "learning_rate": 0.00028901705115346035,
489
+ "loss": 0.2484,
490
+ "step": 395
491
+ },
492
+ {
493
+ "epoch": 5.12,
494
+ "learning_rate": 0.0002888665997993982,
495
+ "loss": 0.2466,
496
+ "step": 400
497
+ },
498
+ {
499
+ "epoch": 5.18,
500
+ "learning_rate": 0.000288716148445336,
501
+ "loss": 0.2498,
502
+ "step": 405
503
+ },
504
+ {
505
+ "epoch": 5.24,
506
+ "learning_rate": 0.0002885656970912738,
507
+ "loss": 0.2475,
508
+ "step": 410
509
+ },
510
+ {
511
+ "epoch": 5.31,
512
+ "learning_rate": 0.0002884152457372116,
513
+ "loss": 0.2406,
514
+ "step": 415
515
+ },
516
+ {
517
+ "epoch": 5.37,
518
+ "learning_rate": 0.0002882647943831494,
519
+ "loss": 0.2436,
520
+ "step": 420
521
+ },
522
+ {
523
+ "epoch": 5.44,
524
+ "learning_rate": 0.00028811434302908724,
525
+ "loss": 0.2492,
526
+ "step": 425
527
+ },
528
+ {
529
+ "epoch": 5.5,
530
+ "learning_rate": 0.000287963891675025,
531
+ "loss": 0.2553,
532
+ "step": 430
533
+ },
534
+ {
535
+ "epoch": 5.56,
536
+ "learning_rate": 0.00028781344032096284,
537
+ "loss": 0.2551,
538
+ "step": 435
539
+ },
540
+ {
541
+ "epoch": 5.63,
542
+ "learning_rate": 0.00028766298896690067,
543
+ "loss": 0.2585,
544
+ "step": 440
545
+ },
546
+ {
547
+ "epoch": 5.69,
548
+ "learning_rate": 0.0002875125376128385,
549
+ "loss": 0.2648,
550
+ "step": 445
551
+ },
552
+ {
553
+ "epoch": 5.76,
554
+ "learning_rate": 0.0002873620862587763,
555
+ "loss": 0.2755,
556
+ "step": 450
557
+ },
558
+ {
559
+ "epoch": 5.82,
560
+ "learning_rate": 0.00028721163490471414,
561
+ "loss": 0.2614,
562
+ "step": 455
563
+ },
564
+ {
565
+ "epoch": 5.88,
566
+ "learning_rate": 0.0002870611835506519,
567
+ "loss": 0.2678,
568
+ "step": 460
569
+ },
570
+ {
571
+ "epoch": 5.95,
572
+ "learning_rate": 0.00028691073219658974,
573
+ "loss": 0.2726,
574
+ "step": 465
575
+ },
576
+ {
577
+ "epoch": 6.01,
578
+ "learning_rate": 0.00028676028084252756,
579
+ "loss": 0.2561,
580
+ "step": 470
581
+ },
582
+ {
583
+ "epoch": 6.08,
584
+ "learning_rate": 0.00028660982948846533,
585
+ "loss": 0.214,
586
+ "step": 475
587
+ },
588
+ {
589
+ "epoch": 6.14,
590
+ "learning_rate": 0.00028645937813440316,
591
+ "loss": 0.2213,
592
+ "step": 480
593
+ },
594
+ {
595
+ "epoch": 6.2,
596
+ "learning_rate": 0.000286308926780341,
597
+ "loss": 0.2217,
598
+ "step": 485
599
+ },
600
+ {
601
+ "epoch": 6.27,
602
+ "learning_rate": 0.0002861584754262788,
603
+ "loss": 0.2213,
604
+ "step": 490
605
+ },
606
+ {
607
+ "epoch": 6.33,
608
+ "learning_rate": 0.00028600802407221664,
609
+ "loss": 0.2344,
610
+ "step": 495
611
+ },
612
+ {
613
+ "epoch": 6.39,
614
+ "learning_rate": 0.00028585757271815446,
615
+ "loss": 0.4603,
616
+ "step": 500
617
+ },
618
+ {
619
+ "epoch": 6.39,
620
+ "eval_loss": 1.0373685359954834,
621
+ "eval_runtime": 0.3183,
622
+ "eval_samples_per_second": 31.418,
623
+ "eval_steps_per_second": 3.142,
624
+ "step": 500
625
+ },
626
+ {
627
+ "epoch": 6.46,
628
+ "learning_rate": 0.00028570712136409223,
629
+ "loss": 0.2353,
630
+ "step": 505
631
+ },
632
+ {
633
+ "epoch": 6.52,
634
+ "learning_rate": 0.00028555667001003006,
635
+ "loss": 0.2269,
636
+ "step": 510
637
+ },
638
+ {
639
+ "epoch": 6.59,
640
+ "learning_rate": 0.0002854062186559679,
641
+ "loss": 0.2318,
642
+ "step": 515
643
+ },
644
+ {
645
+ "epoch": 6.65,
646
+ "learning_rate": 0.00028525576730190565,
647
+ "loss": 0.2338,
648
+ "step": 520
649
+ },
650
+ {
651
+ "epoch": 6.71,
652
+ "learning_rate": 0.0002851053159478435,
653
+ "loss": 0.2336,
654
+ "step": 525
655
+ },
656
+ {
657
+ "epoch": 6.78,
658
+ "learning_rate": 0.0002849548645937813,
659
+ "loss": 0.2385,
660
+ "step": 530
661
+ },
662
+ {
663
+ "epoch": 6.84,
664
+ "learning_rate": 0.00028480441323971913,
665
+ "loss": 0.2356,
666
+ "step": 535
667
+ },
668
+ {
669
+ "epoch": 6.91,
670
+ "learning_rate": 0.00028465396188565695,
671
+ "loss": 0.2437,
672
+ "step": 540
673
+ },
674
+ {
675
+ "epoch": 6.97,
676
+ "learning_rate": 0.0002845035105315948,
677
+ "loss": 0.2417,
678
+ "step": 545
679
+ },
680
+ {
681
+ "epoch": 7.03,
682
+ "learning_rate": 0.00028435305917753255,
683
+ "loss": 0.2167,
684
+ "step": 550
685
+ },
686
+ {
687
+ "epoch": 7.1,
688
+ "learning_rate": 0.0002842026078234704,
689
+ "loss": 0.1974,
690
+ "step": 555
691
+ },
692
+ {
693
+ "epoch": 7.16,
694
+ "learning_rate": 0.0002840521564694082,
695
+ "loss": 0.2092,
696
+ "step": 560
697
+ },
698
+ {
699
+ "epoch": 7.23,
700
+ "learning_rate": 0.000283901705115346,
701
+ "loss": 0.2009,
702
+ "step": 565
703
+ },
704
+ {
705
+ "epoch": 7.29,
706
+ "learning_rate": 0.00028375125376128385,
707
+ "loss": 0.5423,
708
+ "step": 570
709
+ },
710
+ {
711
+ "epoch": 7.35,
712
+ "learning_rate": 0.0002836008024072217,
713
+ "loss": 0.7044,
714
+ "step": 575
715
+ },
716
+ {
717
+ "epoch": 7.42,
718
+ "learning_rate": 0.00028345035105315945,
719
+ "loss": 0.3172,
720
+ "step": 580
721
+ },
722
+ {
723
+ "epoch": 7.48,
724
+ "learning_rate": 0.00028329989969909727,
725
+ "loss": 0.2165,
726
+ "step": 585
727
+ },
728
+ {
729
+ "epoch": 7.55,
730
+ "learning_rate": 0.0002831494483450351,
731
+ "loss": 0.2017,
732
+ "step": 590
733
+ },
734
+ {
735
+ "epoch": 7.61,
736
+ "learning_rate": 0.00028299899699097287,
737
+ "loss": 0.1976,
738
+ "step": 595
739
+ },
740
+ {
741
+ "epoch": 7.67,
742
+ "learning_rate": 0.0002828485456369107,
743
+ "loss": 0.2036,
744
+ "step": 600
745
+ },
746
+ {
747
+ "epoch": 7.74,
748
+ "learning_rate": 0.0002826980942828485,
749
+ "loss": 0.2082,
750
+ "step": 605
751
+ },
752
+ {
753
+ "epoch": 7.8,
754
+ "learning_rate": 0.00028254764292878634,
755
+ "loss": 0.2104,
756
+ "step": 610
757
+ },
758
+ {
759
+ "epoch": 7.87,
760
+ "learning_rate": 0.00028239719157472417,
761
+ "loss": 0.2194,
762
+ "step": 615
763
+ },
764
+ {
765
+ "epoch": 7.93,
766
+ "learning_rate": 0.000282246740220662,
767
+ "loss": 0.2104,
768
+ "step": 620
769
+ },
770
+ {
771
+ "epoch": 7.99,
772
+ "learning_rate": 0.00028209628886659977,
773
+ "loss": 0.2183,
774
+ "step": 625
775
+ },
776
+ {
777
+ "epoch": 8.06,
778
+ "learning_rate": 0.0002819458375125376,
779
+ "loss": 0.1773,
780
+ "step": 630
781
+ },
782
+ {
783
+ "epoch": 8.12,
784
+ "learning_rate": 0.0002817953861584754,
785
+ "loss": 0.1753,
786
+ "step": 635
787
+ },
788
+ {
789
+ "epoch": 8.19,
790
+ "learning_rate": 0.0002816449348044132,
791
+ "loss": 0.1737,
792
+ "step": 640
793
+ },
794
+ {
795
+ "epoch": 8.25,
796
+ "learning_rate": 0.000281494483450351,
797
+ "loss": 0.1807,
798
+ "step": 645
799
+ },
800
+ {
801
+ "epoch": 8.31,
802
+ "learning_rate": 0.00028134403209628884,
803
+ "loss": 0.1858,
804
+ "step": 650
805
+ },
806
+ {
807
+ "epoch": 8.38,
808
+ "learning_rate": 0.00028119358074222666,
809
+ "loss": 0.1836,
810
+ "step": 655
811
+ },
812
+ {
813
+ "epoch": 8.44,
814
+ "learning_rate": 0.0002810431293881645,
815
+ "loss": 0.1887,
816
+ "step": 660
817
+ },
818
+ {
819
+ "epoch": 8.51,
820
+ "learning_rate": 0.0002808926780341023,
821
+ "loss": 0.1908,
822
+ "step": 665
823
+ },
824
+ {
825
+ "epoch": 8.57,
826
+ "learning_rate": 0.0002807422266800401,
827
+ "loss": 0.1933,
828
+ "step": 670
829
+ },
830
+ {
831
+ "epoch": 8.63,
832
+ "learning_rate": 0.0002805917753259779,
833
+ "loss": 0.1969,
834
+ "step": 675
835
+ },
836
+ {
837
+ "epoch": 8.7,
838
+ "learning_rate": 0.00028044132397191574,
839
+ "loss": 0.194,
840
+ "step": 680
841
+ },
842
+ {
843
+ "epoch": 8.76,
844
+ "learning_rate": 0.0002802908726178535,
845
+ "loss": 0.1895,
846
+ "step": 685
847
+ },
848
+ {
849
+ "epoch": 8.82,
850
+ "learning_rate": 0.00028014042126379133,
851
+ "loss": 0.1957,
852
+ "step": 690
853
+ },
854
+ {
855
+ "epoch": 8.89,
856
+ "learning_rate": 0.00027998996990972916,
857
+ "loss": 0.1927,
858
+ "step": 695
859
+ },
860
+ {
861
+ "epoch": 8.95,
862
+ "learning_rate": 0.000279839518555667,
863
+ "loss": 0.1891,
864
+ "step": 700
865
+ },
866
+ {
867
+ "epoch": 9.02,
868
+ "learning_rate": 0.0002796890672016048,
869
+ "loss": 0.1809,
870
+ "step": 705
871
+ },
872
+ {
873
+ "epoch": 9.08,
874
+ "learning_rate": 0.00027953861584754263,
875
+ "loss": 0.1443,
876
+ "step": 710
877
+ },
878
+ {
879
+ "epoch": 9.14,
880
+ "learning_rate": 0.0002793881644934804,
881
+ "loss": 0.1487,
882
+ "step": 715
883
+ },
884
+ {
885
+ "epoch": 9.21,
886
+ "learning_rate": 0.00027923771313941823,
887
+ "loss": 0.1521,
888
+ "step": 720
889
+ },
890
+ {
891
+ "epoch": 9.27,
892
+ "learning_rate": 0.00027908726178535605,
893
+ "loss": 0.1544,
894
+ "step": 725
895
+ },
896
+ {
897
+ "epoch": 9.34,
898
+ "learning_rate": 0.0002789368104312938,
899
+ "loss": 0.1564,
900
+ "step": 730
901
+ },
902
+ {
903
+ "epoch": 9.4,
904
+ "learning_rate": 0.00027878635907723165,
905
+ "loss": 0.1634,
906
+ "step": 735
907
+ },
908
+ {
909
+ "epoch": 9.46,
910
+ "learning_rate": 0.0002786359077231695,
911
+ "loss": 0.1644,
912
+ "step": 740
913
+ },
914
+ {
915
+ "epoch": 9.53,
916
+ "learning_rate": 0.0002784854563691073,
917
+ "loss": 0.1643,
918
+ "step": 745
919
+ },
920
+ {
921
+ "epoch": 9.59,
922
+ "learning_rate": 0.0002783350050150451,
923
+ "loss": 0.1721,
924
+ "step": 750
925
+ },
926
+ {
927
+ "epoch": 9.59,
928
+ "eval_loss": 1.1369589567184448,
929
+ "eval_runtime": 0.3185,
930
+ "eval_samples_per_second": 31.399,
931
+ "eval_steps_per_second": 3.14,
932
+ "step": 750
933
+ },
934
+ {
935
+ "epoch": 9.66,
936
+ "learning_rate": 0.00027818455366098295,
937
+ "loss": 0.1755,
938
+ "step": 755
939
+ },
940
+ {
941
+ "epoch": 9.72,
942
+ "learning_rate": 0.0002780341023069207,
943
+ "loss": 0.1733,
944
+ "step": 760
945
+ },
946
+ {
947
+ "epoch": 9.78,
948
+ "learning_rate": 0.00027788365095285855,
949
+ "loss": 0.1689,
950
+ "step": 765
951
+ },
952
+ {
953
+ "epoch": 9.85,
954
+ "learning_rate": 0.00027773319959879637,
955
+ "loss": 0.1668,
956
+ "step": 770
957
+ },
958
+ {
959
+ "epoch": 9.91,
960
+ "learning_rate": 0.00027758274824473414,
961
+ "loss": 0.1774,
962
+ "step": 775
963
+ },
964
+ {
965
+ "epoch": 9.98,
966
+ "learning_rate": 0.00027743229689067197,
967
+ "loss": 0.1742,
968
+ "step": 780
969
+ },
970
+ {
971
+ "epoch": 10.04,
972
+ "learning_rate": 0.0002772818455366098,
973
+ "loss": 0.1513,
974
+ "step": 785
975
+ },
976
+ {
977
+ "epoch": 10.1,
978
+ "learning_rate": 0.0002771313941825476,
979
+ "loss": 0.1361,
980
+ "step": 790
981
+ },
982
+ {
983
+ "epoch": 10.17,
984
+ "learning_rate": 0.00027698094282848544,
985
+ "loss": 0.1387,
986
+ "step": 795
987
+ },
988
+ {
989
+ "epoch": 10.23,
990
+ "learning_rate": 0.00027683049147442327,
991
+ "loss": 0.1472,
992
+ "step": 800
993
+ },
994
+ {
995
+ "epoch": 10.3,
996
+ "learning_rate": 0.00027668004012036104,
997
+ "loss": 0.1439,
998
+ "step": 805
999
+ },
1000
+ {
1001
+ "epoch": 10.36,
1002
+ "learning_rate": 0.00027652958876629887,
1003
+ "loss": 0.1389,
1004
+ "step": 810
1005
+ },
1006
+ {
1007
+ "epoch": 10.42,
1008
+ "learning_rate": 0.0002763791374122367,
1009
+ "loss": 0.1454,
1010
+ "step": 815
1011
+ },
1012
+ {
1013
+ "epoch": 10.49,
1014
+ "learning_rate": 0.00027622868605817446,
1015
+ "loss": 0.1504,
1016
+ "step": 820
1017
+ },
1018
+ {
1019
+ "epoch": 10.55,
1020
+ "learning_rate": 0.0002760782347041123,
1021
+ "loss": 0.1475,
1022
+ "step": 825
1023
+ },
1024
+ {
1025
+ "epoch": 10.62,
1026
+ "learning_rate": 0.0002759277833500501,
1027
+ "loss": 0.1478,
1028
+ "step": 830
1029
+ },
1030
+ {
1031
+ "epoch": 10.68,
1032
+ "learning_rate": 0.00027577733199598794,
1033
+ "loss": 0.1496,
1034
+ "step": 835
1035
+ },
1036
+ {
1037
+ "epoch": 10.74,
1038
+ "learning_rate": 0.00027562688064192576,
1039
+ "loss": 0.1475,
1040
+ "step": 840
1041
+ },
1042
+ {
1043
+ "epoch": 10.81,
1044
+ "learning_rate": 0.0002754764292878636,
1045
+ "loss": 0.1499,
1046
+ "step": 845
1047
+ },
1048
+ {
1049
+ "epoch": 10.87,
1050
+ "learning_rate": 0.00027532597793380136,
1051
+ "loss": 0.152,
1052
+ "step": 850
1053
+ },
1054
+ {
1055
+ "epoch": 10.94,
1056
+ "learning_rate": 0.0002751755265797392,
1057
+ "loss": 0.1514,
1058
+ "step": 855
1059
+ },
1060
+ {
1061
+ "epoch": 11.0,
1062
+ "learning_rate": 0.000275025075225677,
1063
+ "loss": 0.153,
1064
+ "step": 860
1065
+ },
1066
+ {
1067
+ "epoch": 11.06,
1068
+ "learning_rate": 0.0002748746238716148,
1069
+ "loss": 0.1153,
1070
+ "step": 865
1071
+ },
1072
+ {
1073
+ "epoch": 11.13,
1074
+ "learning_rate": 0.0002747241725175526,
1075
+ "loss": 0.1181,
1076
+ "step": 870
1077
+ },
1078
+ {
1079
+ "epoch": 11.19,
1080
+ "learning_rate": 0.00027457372116349043,
1081
+ "loss": 0.1201,
1082
+ "step": 875
1083
+ },
1084
+ {
1085
+ "epoch": 11.25,
1086
+ "learning_rate": 0.00027442326980942826,
1087
+ "loss": 0.1164,
1088
+ "step": 880
1089
+ },
1090
+ {
1091
+ "epoch": 11.32,
1092
+ "learning_rate": 0.0002742728184553661,
1093
+ "loss": 0.1177,
1094
+ "step": 885
1095
+ },
1096
+ {
1097
+ "epoch": 11.38,
1098
+ "learning_rate": 0.0002741223671013039,
1099
+ "loss": 0.1205,
1100
+ "step": 890
1101
+ },
1102
+ {
1103
+ "epoch": 11.45,
1104
+ "learning_rate": 0.0002739719157472417,
1105
+ "loss": 0.1257,
1106
+ "step": 895
1107
+ },
1108
+ {
1109
+ "epoch": 11.51,
1110
+ "learning_rate": 0.0002738214643931795,
1111
+ "loss": 0.1291,
1112
+ "step": 900
1113
+ },
1114
+ {
1115
+ "epoch": 11.57,
1116
+ "learning_rate": 0.00027367101303911733,
1117
+ "loss": 0.1277,
1118
+ "step": 905
1119
+ },
1120
+ {
1121
+ "epoch": 11.64,
1122
+ "learning_rate": 0.00027352056168505515,
1123
+ "loss": 0.1343,
1124
+ "step": 910
1125
+ },
1126
+ {
1127
+ "epoch": 11.7,
1128
+ "learning_rate": 0.000273370110330993,
1129
+ "loss": 0.1312,
1130
+ "step": 915
1131
+ },
1132
+ {
1133
+ "epoch": 11.77,
1134
+ "learning_rate": 0.0002732196589769308,
1135
+ "loss": 0.1314,
1136
+ "step": 920
1137
+ },
1138
+ {
1139
+ "epoch": 11.83,
1140
+ "learning_rate": 0.0002730692076228686,
1141
+ "loss": 0.1367,
1142
+ "step": 925
1143
+ },
1144
+ {
1145
+ "epoch": 11.89,
1146
+ "learning_rate": 0.0002729187562688064,
1147
+ "loss": 0.1336,
1148
+ "step": 930
1149
+ },
1150
+ {
1151
+ "epoch": 11.96,
1152
+ "learning_rate": 0.0002727683049147442,
1153
+ "loss": 0.1367,
1154
+ "step": 935
1155
+ },
1156
+ {
1157
+ "epoch": 12.02,
1158
+ "learning_rate": 0.000272617853560682,
1159
+ "loss": 0.1266,
1160
+ "step": 940
1161
+ },
1162
+ {
1163
+ "epoch": 12.09,
1164
+ "learning_rate": 0.0002724674022066198,
1165
+ "loss": 0.1001,
1166
+ "step": 945
1167
+ },
1168
+ {
1169
+ "epoch": 12.15,
1170
+ "learning_rate": 0.00027231695085255765,
1171
+ "loss": 0.106,
1172
+ "step": 950
1173
+ },
1174
+ {
1175
+ "epoch": 12.21,
1176
+ "learning_rate": 0.00027216649949849547,
1177
+ "loss": 0.1078,
1178
+ "step": 955
1179
+ },
1180
+ {
1181
+ "epoch": 12.28,
1182
+ "learning_rate": 0.0002720160481444333,
1183
+ "loss": 0.1065,
1184
+ "step": 960
1185
+ },
1186
+ {
1187
+ "epoch": 12.34,
1188
+ "learning_rate": 0.0002718655967903711,
1189
+ "loss": 0.1077,
1190
+ "step": 965
1191
+ },
1192
+ {
1193
+ "epoch": 12.41,
1194
+ "learning_rate": 0.0002717151454363089,
1195
+ "loss": 0.1089,
1196
+ "step": 970
1197
+ },
1198
+ {
1199
+ "epoch": 12.47,
1200
+ "learning_rate": 0.0002715646940822467,
1201
+ "loss": 0.1094,
1202
+ "step": 975
1203
+ },
1204
+ {
1205
+ "epoch": 12.53,
1206
+ "learning_rate": 0.00027141424272818454,
1207
+ "loss": 0.1205,
1208
+ "step": 980
1209
+ },
1210
+ {
1211
+ "epoch": 12.6,
1212
+ "learning_rate": 0.0002712637913741223,
1213
+ "loss": 0.1231,
1214
+ "step": 985
1215
+ },
1216
+ {
1217
+ "epoch": 12.66,
1218
+ "learning_rate": 0.00027111334002006014,
1219
+ "loss": 0.1169,
1220
+ "step": 990
1221
+ },
1222
+ {
1223
+ "epoch": 12.73,
1224
+ "learning_rate": 0.00027096288866599797,
1225
+ "loss": 0.1154,
1226
+ "step": 995
1227
+ },
1228
+ {
1229
+ "epoch": 12.79,
1230
+ "learning_rate": 0.0002708124373119358,
1231
+ "loss": 0.113,
1232
+ "step": 1000
1233
+ },
1234
+ {
1235
+ "epoch": 12.79,
1236
+ "eval_loss": 1.3787956237792969,
1237
+ "eval_runtime": 0.319,
1238
+ "eval_samples_per_second": 31.345,
1239
+ "eval_steps_per_second": 3.135,
1240
+ "step": 1000
1241
+ },
1242
+ {
1243
+ "epoch": 12.85,
1244
+ "learning_rate": 0.0002706619859578736,
1245
+ "loss": 0.1123,
1246
+ "step": 1005
1247
+ },
1248
+ {
1249
+ "epoch": 12.92,
1250
+ "learning_rate": 0.00027051153460381144,
1251
+ "loss": 0.117,
1252
+ "step": 1010
1253
+ },
1254
+ {
1255
+ "epoch": 12.98,
1256
+ "learning_rate": 0.0002703610832497492,
1257
+ "loss": 0.1199,
1258
+ "step": 1015
1259
+ },
1260
+ {
1261
+ "epoch": 13.05,
1262
+ "learning_rate": 0.00027021063189568704,
1263
+ "loss": 0.0943,
1264
+ "step": 1020
1265
+ },
1266
+ {
1267
+ "epoch": 13.11,
1268
+ "learning_rate": 0.00027006018054162486,
1269
+ "loss": 0.0851,
1270
+ "step": 1025
1271
+ },
1272
+ {
1273
+ "epoch": 13.17,
1274
+ "learning_rate": 0.00026990972918756263,
1275
+ "loss": 0.0906,
1276
+ "step": 1030
1277
+ },
1278
+ {
1279
+ "epoch": 13.24,
1280
+ "learning_rate": 0.00026975927783350046,
1281
+ "loss": 0.0911,
1282
+ "step": 1035
1283
+ },
1284
+ {
1285
+ "epoch": 13.3,
1286
+ "learning_rate": 0.0002696088264794383,
1287
+ "loss": 0.0925,
1288
+ "step": 1040
1289
+ },
1290
+ {
1291
+ "epoch": 13.37,
1292
+ "learning_rate": 0.0002694583751253761,
1293
+ "loss": 0.095,
1294
+ "step": 1045
1295
+ },
1296
+ {
1297
+ "epoch": 13.43,
1298
+ "learning_rate": 0.00026930792377131393,
1299
+ "loss": 0.0921,
1300
+ "step": 1050
1301
+ },
1302
+ {
1303
+ "epoch": 13.49,
1304
+ "learning_rate": 0.00026915747241725176,
1305
+ "loss": 0.0958,
1306
+ "step": 1055
1307
+ },
1308
+ {
1309
+ "epoch": 13.56,
1310
+ "learning_rate": 0.00026900702106318953,
1311
+ "loss": 0.0969,
1312
+ "step": 1060
1313
+ },
1314
+ {
1315
+ "epoch": 13.62,
1316
+ "learning_rate": 0.00026885656970912736,
1317
+ "loss": 0.0973,
1318
+ "step": 1065
1319
+ },
1320
+ {
1321
+ "epoch": 13.69,
1322
+ "learning_rate": 0.0002687061183550652,
1323
+ "loss": 0.1008,
1324
+ "step": 1070
1325
+ },
1326
+ {
1327
+ "epoch": 13.75,
1328
+ "learning_rate": 0.00026855566700100295,
1329
+ "loss": 0.1021,
1330
+ "step": 1075
1331
+ },
1332
+ {
1333
+ "epoch": 13.81,
1334
+ "learning_rate": 0.0002684052156469408,
1335
+ "loss": 0.1018,
1336
+ "step": 1080
1337
+ },
1338
+ {
1339
+ "epoch": 13.88,
1340
+ "learning_rate": 0.0002682547642928786,
1341
+ "loss": 0.1019,
1342
+ "step": 1085
1343
+ },
1344
+ {
1345
+ "epoch": 13.94,
1346
+ "learning_rate": 0.00026810431293881643,
1347
+ "loss": 0.1035,
1348
+ "step": 1090
1349
+ },
1350
+ {
1351
+ "epoch": 14.0,
1352
+ "learning_rate": 0.00026795386158475425,
1353
+ "loss": 0.1081,
1354
+ "step": 1095
1355
+ },
1356
+ {
1357
+ "epoch": 14.07,
1358
+ "learning_rate": 0.0002678034102306921,
1359
+ "loss": 0.0823,
1360
+ "step": 1100
1361
+ },
1362
+ {
1363
+ "epoch": 14.13,
1364
+ "learning_rate": 0.00026765295887662985,
1365
+ "loss": 0.0767,
1366
+ "step": 1105
1367
+ },
1368
+ {
1369
+ "epoch": 14.2,
1370
+ "learning_rate": 0.0002675025075225677,
1371
+ "loss": 0.0808,
1372
+ "step": 1110
1373
+ },
1374
+ {
1375
+ "epoch": 14.26,
1376
+ "learning_rate": 0.0002673520561685055,
1377
+ "loss": 0.0827,
1378
+ "step": 1115
1379
+ },
1380
+ {
1381
+ "epoch": 14.32,
1382
+ "learning_rate": 0.00026720160481444327,
1383
+ "loss": 0.0831,
1384
+ "step": 1120
1385
+ },
1386
+ {
1387
+ "epoch": 14.39,
1388
+ "learning_rate": 0.0002670511534603811,
1389
+ "loss": 0.0853,
1390
+ "step": 1125
1391
+ },
1392
+ {
1393
+ "epoch": 14.45,
1394
+ "learning_rate": 0.0002669007021063189,
1395
+ "loss": 0.084,
1396
+ "step": 1130
1397
+ },
1398
+ {
1399
+ "epoch": 14.52,
1400
+ "learning_rate": 0.00026675025075225675,
1401
+ "loss": 0.0867,
1402
+ "step": 1135
1403
+ },
1404
+ {
1405
+ "epoch": 14.58,
1406
+ "learning_rate": 0.00026659979939819457,
1407
+ "loss": 0.0856,
1408
+ "step": 1140
1409
+ },
1410
+ {
1411
+ "epoch": 14.64,
1412
+ "learning_rate": 0.0002664493480441324,
1413
+ "loss": 0.0864,
1414
+ "step": 1145
1415
+ },
1416
+ {
1417
+ "epoch": 14.71,
1418
+ "learning_rate": 0.00026629889669007017,
1419
+ "loss": 0.0867,
1420
+ "step": 1150
1421
+ },
1422
+ {
1423
+ "epoch": 14.77,
1424
+ "learning_rate": 0.000266148445336008,
1425
+ "loss": 0.0862,
1426
+ "step": 1155
1427
+ },
1428
+ {
1429
+ "epoch": 14.84,
1430
+ "learning_rate": 0.0002659979939819458,
1431
+ "loss": 0.0902,
1432
+ "step": 1160
1433
+ },
1434
+ {
1435
+ "epoch": 14.9,
1436
+ "learning_rate": 0.0002658475426278836,
1437
+ "loss": 0.0924,
1438
+ "step": 1165
1439
+ },
1440
+ {
1441
+ "epoch": 14.96,
1442
+ "learning_rate": 0.0002656970912738214,
1443
+ "loss": 0.0939,
1444
+ "step": 1170
1445
+ },
1446
+ {
1447
+ "epoch": 15.03,
1448
+ "learning_rate": 0.00026554663991975924,
1449
+ "loss": 0.082,
1450
+ "step": 1175
1451
+ },
1452
+ {
1453
+ "epoch": 15.09,
1454
+ "learning_rate": 0.00026539618856569707,
1455
+ "loss": 0.0703,
1456
+ "step": 1180
1457
+ },
1458
+ {
1459
+ "epoch": 15.16,
1460
+ "learning_rate": 0.0002652457372116349,
1461
+ "loss": 0.0695,
1462
+ "step": 1185
1463
+ },
1464
+ {
1465
+ "epoch": 15.22,
1466
+ "learning_rate": 0.0002650952858575727,
1467
+ "loss": 0.0703,
1468
+ "step": 1190
1469
+ },
1470
+ {
1471
+ "epoch": 15.28,
1472
+ "learning_rate": 0.0002649448345035105,
1473
+ "loss": 0.0707,
1474
+ "step": 1195
1475
+ },
1476
+ {
1477
+ "epoch": 15.35,
1478
+ "learning_rate": 0.0002647943831494483,
1479
+ "loss": 0.071,
1480
+ "step": 1200
1481
+ },
1482
+ {
1483
+ "epoch": 15.41,
1484
+ "learning_rate": 0.00026464393179538614,
1485
+ "loss": 0.0727,
1486
+ "step": 1205
1487
+ },
1488
+ {
1489
+ "epoch": 15.48,
1490
+ "learning_rate": 0.0002644934804413239,
1491
+ "loss": 0.0771,
1492
+ "step": 1210
1493
+ },
1494
+ {
1495
+ "epoch": 15.54,
1496
+ "learning_rate": 0.00026434302908726173,
1497
+ "loss": 0.0793,
1498
+ "step": 1215
1499
+ },
1500
+ {
1501
+ "epoch": 15.6,
1502
+ "learning_rate": 0.00026419257773319956,
1503
+ "loss": 0.076,
1504
+ "step": 1220
1505
+ },
1506
+ {
1507
+ "epoch": 15.67,
1508
+ "learning_rate": 0.0002640421263791374,
1509
+ "loss": 0.0744,
1510
+ "step": 1225
1511
+ },
1512
+ {
1513
+ "epoch": 15.73,
1514
+ "learning_rate": 0.0002638916750250752,
1515
+ "loss": 0.0779,
1516
+ "step": 1230
1517
+ },
1518
+ {
1519
+ "epoch": 15.8,
1520
+ "learning_rate": 0.00026374122367101303,
1521
+ "loss": 0.0785,
1522
+ "step": 1235
1523
+ },
1524
+ {
1525
+ "epoch": 15.86,
1526
+ "learning_rate": 0.0002635907723169508,
1527
+ "loss": 0.0782,
1528
+ "step": 1240
1529
+ },
1530
+ {
1531
+ "epoch": 15.92,
1532
+ "learning_rate": 0.00026344032096288863,
1533
+ "loss": 0.079,
1534
+ "step": 1245
1535
+ },
1536
+ {
1537
+ "epoch": 15.99,
1538
+ "learning_rate": 0.00026328986960882646,
1539
+ "loss": 0.0815,
1540
+ "step": 1250
1541
+ },
1542
+ {
1543
+ "epoch": 15.99,
1544
+ "eval_loss": 1.4458354711532593,
1545
+ "eval_runtime": 0.3198,
1546
+ "eval_samples_per_second": 31.27,
1547
+ "eval_steps_per_second": 3.127,
1548
+ "step": 1250
1549
+ },
1550
+ {
1551
+ "epoch": 16.05,
1552
+ "learning_rate": 0.0002631394182547643,
1553
+ "loss": 0.0598,
1554
+ "step": 1255
1555
+ },
1556
+ {
1557
+ "epoch": 16.12,
1558
+ "learning_rate": 0.0002629889669007021,
1559
+ "loss": 0.0578,
1560
+ "step": 1260
1561
+ },
1562
+ {
1563
+ "epoch": 16.18,
1564
+ "learning_rate": 0.00026283851554663993,
1565
+ "loss": 0.0596,
1566
+ "step": 1265
1567
+ },
1568
+ {
1569
+ "epoch": 16.24,
1570
+ "learning_rate": 0.0002626880641925777,
1571
+ "loss": 0.0588,
1572
+ "step": 1270
1573
+ },
1574
+ {
1575
+ "epoch": 16.31,
1576
+ "learning_rate": 0.00026253761283851553,
1577
+ "loss": 0.0592,
1578
+ "step": 1275
1579
+ },
1580
+ {
1581
+ "epoch": 16.37,
1582
+ "learning_rate": 0.00026238716148445335,
1583
+ "loss": 0.0614,
1584
+ "step": 1280
1585
+ },
1586
+ {
1587
+ "epoch": 16.43,
1588
+ "learning_rate": 0.0002622367101303911,
1589
+ "loss": 0.0641,
1590
+ "step": 1285
1591
+ },
1592
+ {
1593
+ "epoch": 16.5,
1594
+ "learning_rate": 0.00026208625877632895,
1595
+ "loss": 0.0661,
1596
+ "step": 1290
1597
+ },
1598
+ {
1599
+ "epoch": 16.56,
1600
+ "learning_rate": 0.0002619358074222668,
1601
+ "loss": 0.0685,
1602
+ "step": 1295
1603
+ },
1604
+ {
1605
+ "epoch": 16.63,
1606
+ "learning_rate": 0.0002617853560682046,
1607
+ "loss": 0.0646,
1608
+ "step": 1300
1609
+ },
1610
+ {
1611
+ "epoch": 16.69,
1612
+ "learning_rate": 0.0002616349047141424,
1613
+ "loss": 0.0662,
1614
+ "step": 1305
1615
+ },
1616
+ {
1617
+ "epoch": 16.75,
1618
+ "learning_rate": 0.00026148445336008025,
1619
+ "loss": 0.0699,
1620
+ "step": 1310
1621
+ },
1622
+ {
1623
+ "epoch": 16.82,
1624
+ "learning_rate": 0.000261334002006018,
1625
+ "loss": 0.069,
1626
+ "step": 1315
1627
+ },
1628
+ {
1629
+ "epoch": 16.88,
1630
+ "learning_rate": 0.00026118355065195585,
1631
+ "loss": 0.0683,
1632
+ "step": 1320
1633
+ },
1634
+ {
1635
+ "epoch": 16.95,
1636
+ "learning_rate": 0.00026103309929789367,
1637
+ "loss": 0.0714,
1638
+ "step": 1325
1639
+ },
1640
+ {
1641
+ "epoch": 17.01,
1642
+ "learning_rate": 0.00026088264794383144,
1643
+ "loss": 0.0682,
1644
+ "step": 1330
1645
+ },
1646
+ {
1647
+ "epoch": 17.07,
1648
+ "learning_rate": 0.00026073219658976927,
1649
+ "loss": 0.0537,
1650
+ "step": 1335
1651
+ },
1652
+ {
1653
+ "epoch": 17.14,
1654
+ "learning_rate": 0.0002605817452357071,
1655
+ "loss": 0.055,
1656
+ "step": 1340
1657
+ },
1658
+ {
1659
+ "epoch": 17.2,
1660
+ "learning_rate": 0.0002604312938816449,
1661
+ "loss": 0.0557,
1662
+ "step": 1345
1663
+ },
1664
+ {
1665
+ "epoch": 17.27,
1666
+ "learning_rate": 0.00026028084252758274,
1667
+ "loss": 0.0544,
1668
+ "step": 1350
1669
+ },
1670
+ {
1671
+ "epoch": 17.33,
1672
+ "learning_rate": 0.00026013039117352057,
1673
+ "loss": 0.0545,
1674
+ "step": 1355
1675
+ },
1676
+ {
1677
+ "epoch": 17.39,
1678
+ "learning_rate": 0.00025997993981945834,
1679
+ "loss": 0.0589,
1680
+ "step": 1360
1681
+ },
1682
+ {
1683
+ "epoch": 17.46,
1684
+ "learning_rate": 0.00025982948846539616,
1685
+ "loss": 0.0598,
1686
+ "step": 1365
1687
+ },
1688
+ {
1689
+ "epoch": 17.52,
1690
+ "learning_rate": 0.000259679037111334,
1691
+ "loss": 0.0608,
1692
+ "step": 1370
1693
+ },
1694
+ {
1695
+ "epoch": 17.59,
1696
+ "learning_rate": 0.00025952858575727176,
1697
+ "loss": 0.0628,
1698
+ "step": 1375
1699
+ },
1700
+ {
1701
+ "epoch": 17.65,
1702
+ "learning_rate": 0.0002593781344032096,
1703
+ "loss": 0.0603,
1704
+ "step": 1380
1705
+ },
1706
+ {
1707
+ "epoch": 17.71,
1708
+ "learning_rate": 0.0002592276830491474,
1709
+ "loss": 0.065,
1710
+ "step": 1385
1711
+ },
1712
+ {
1713
+ "epoch": 17.78,
1714
+ "learning_rate": 0.00025907723169508524,
1715
+ "loss": 0.0648,
1716
+ "step": 1390
1717
+ },
1718
+ {
1719
+ "epoch": 17.84,
1720
+ "learning_rate": 0.00025892678034102306,
1721
+ "loss": 0.0649,
1722
+ "step": 1395
1723
+ },
1724
+ {
1725
+ "epoch": 17.91,
1726
+ "learning_rate": 0.0002587763289869609,
1727
+ "loss": 0.0647,
1728
+ "step": 1400
1729
+ },
1730
+ {
1731
+ "epoch": 17.97,
1732
+ "learning_rate": 0.00025862587763289866,
1733
+ "loss": 0.0687,
1734
+ "step": 1405
1735
+ },
1736
+ {
1737
+ "epoch": 18.03,
1738
+ "learning_rate": 0.0002584754262788365,
1739
+ "loss": 0.0592,
1740
+ "step": 1410
1741
+ },
1742
+ {
1743
+ "epoch": 18.1,
1744
+ "learning_rate": 0.0002583249749247743,
1745
+ "loss": 0.047,
1746
+ "step": 1415
1747
+ },
1748
+ {
1749
+ "epoch": 18.16,
1750
+ "learning_rate": 0.0002581745235707121,
1751
+ "loss": 0.0486,
1752
+ "step": 1420
1753
+ },
1754
+ {
1755
+ "epoch": 18.23,
1756
+ "learning_rate": 0.0002580240722166499,
1757
+ "loss": 0.0526,
1758
+ "step": 1425
1759
+ },
1760
+ {
1761
+ "epoch": 18.29,
1762
+ "learning_rate": 0.00025787362086258773,
1763
+ "loss": 0.05,
1764
+ "step": 1430
1765
+ },
1766
+ {
1767
+ "epoch": 18.35,
1768
+ "learning_rate": 0.00025772316950852556,
1769
+ "loss": 0.0646,
1770
+ "step": 1435
1771
+ },
1772
+ {
1773
+ "epoch": 18.42,
1774
+ "learning_rate": 0.0002575727181544634,
1775
+ "loss": 0.0557,
1776
+ "step": 1440
1777
+ },
1778
+ {
1779
+ "epoch": 18.48,
1780
+ "learning_rate": 0.0002574222668004012,
1781
+ "loss": 0.0534,
1782
+ "step": 1445
1783
+ },
1784
+ {
1785
+ "epoch": 18.55,
1786
+ "learning_rate": 0.000257271815446339,
1787
+ "loss": 0.056,
1788
+ "step": 1450
1789
+ },
1790
+ {
1791
+ "epoch": 18.61,
1792
+ "learning_rate": 0.0002571213640922768,
1793
+ "loss": 0.0553,
1794
+ "step": 1455
1795
+ },
1796
+ {
1797
+ "epoch": 18.67,
1798
+ "learning_rate": 0.00025697091273821463,
1799
+ "loss": 0.057,
1800
+ "step": 1460
1801
+ },
1802
+ {
1803
+ "epoch": 18.74,
1804
+ "learning_rate": 0.0002568204613841524,
1805
+ "loss": 0.0545,
1806
+ "step": 1465
1807
+ },
1808
+ {
1809
+ "epoch": 18.8,
1810
+ "learning_rate": 0.0002566700100300902,
1811
+ "loss": 0.0557,
1812
+ "step": 1470
1813
+ },
1814
+ {
1815
+ "epoch": 18.86,
1816
+ "learning_rate": 0.00025651955867602805,
1817
+ "loss": 0.0587,
1818
+ "step": 1475
1819
+ },
1820
+ {
1821
+ "epoch": 18.93,
1822
+ "learning_rate": 0.0002563691073219659,
1823
+ "loss": 0.0574,
1824
+ "step": 1480
1825
+ },
1826
+ {
1827
+ "epoch": 18.99,
1828
+ "learning_rate": 0.0002562186559679037,
1829
+ "loss": 0.0625,
1830
+ "step": 1485
1831
+ },
1832
+ {
1833
+ "epoch": 19.06,
1834
+ "learning_rate": 0.0002560682046138415,
1835
+ "loss": 0.1149,
1836
+ "step": 1490
1837
+ },
1838
+ {
1839
+ "epoch": 19.12,
1840
+ "learning_rate": 0.0002559177532597793,
1841
+ "loss": 0.059,
1842
+ "step": 1495
1843
+ },
1844
+ {
1845
+ "epoch": 19.18,
1846
+ "learning_rate": 0.0002557673019057171,
1847
+ "loss": 0.0472,
1848
+ "step": 1500
1849
+ },
1850
+ {
1851
+ "epoch": 19.18,
1852
+ "eval_loss": 1.7803338766098022,
1853
+ "eval_runtime": 0.3184,
1854
+ "eval_samples_per_second": 31.405,
1855
+ "eval_steps_per_second": 3.14,
1856
+ "step": 1500
1857
+ },
1858
+ {
1859
+ "epoch": 19.25,
1860
+ "learning_rate": 0.00025561685055165495,
1861
+ "loss": 0.0432,
1862
+ "step": 1505
1863
+ },
1864
+ {
1865
+ "epoch": 19.31,
1866
+ "learning_rate": 0.0002554663991975927,
1867
+ "loss": 0.0415,
1868
+ "step": 1510
1869
+ },
1870
+ {
1871
+ "epoch": 19.38,
1872
+ "learning_rate": 0.00025531594784353054,
1873
+ "loss": 0.047,
1874
+ "step": 1515
1875
+ },
1876
+ {
1877
+ "epoch": 19.44,
1878
+ "learning_rate": 0.00025516549648946837,
1879
+ "loss": 0.0473,
1880
+ "step": 1520
1881
+ },
1882
+ {
1883
+ "epoch": 19.5,
1884
+ "learning_rate": 0.0002550150451354062,
1885
+ "loss": 0.0482,
1886
+ "step": 1525
1887
+ },
1888
+ {
1889
+ "epoch": 19.57,
1890
+ "learning_rate": 0.000254864593781344,
1891
+ "loss": 0.0493,
1892
+ "step": 1530
1893
+ },
1894
+ {
1895
+ "epoch": 19.63,
1896
+ "learning_rate": 0.00025471414242728184,
1897
+ "loss": 0.0513,
1898
+ "step": 1535
1899
+ },
1900
+ {
1901
+ "epoch": 19.7,
1902
+ "learning_rate": 0.0002545636910732196,
1903
+ "loss": 0.0514,
1904
+ "step": 1540
1905
+ },
1906
+ {
1907
+ "epoch": 19.76,
1908
+ "learning_rate": 0.00025441323971915744,
1909
+ "loss": 0.0509,
1910
+ "step": 1545
1911
+ },
1912
+ {
1913
+ "epoch": 19.82,
1914
+ "learning_rate": 0.00025426278836509526,
1915
+ "loss": 0.0512,
1916
+ "step": 1550
1917
+ },
1918
+ {
1919
+ "epoch": 19.89,
1920
+ "learning_rate": 0.0002541123370110331,
1921
+ "loss": 0.0535,
1922
+ "step": 1555
1923
+ },
1924
+ {
1925
+ "epoch": 19.95,
1926
+ "learning_rate": 0.00025396188565697086,
1927
+ "loss": 0.0522,
1928
+ "step": 1560
1929
+ },
1930
+ {
1931
+ "epoch": 20.02,
1932
+ "learning_rate": 0.0002538114343029087,
1933
+ "loss": 0.0491,
1934
+ "step": 1565
1935
+ },
1936
+ {
1937
+ "epoch": 20.08,
1938
+ "learning_rate": 0.0002536609829488465,
1939
+ "loss": 0.0364,
1940
+ "step": 1570
1941
+ },
1942
+ {
1943
+ "epoch": 20.14,
1944
+ "learning_rate": 0.00025351053159478434,
1945
+ "loss": 0.0398,
1946
+ "step": 1575
1947
+ },
1948
+ {
1949
+ "epoch": 20.21,
1950
+ "learning_rate": 0.00025336008024072216,
1951
+ "loss": 0.0393,
1952
+ "step": 1580
1953
+ },
1954
+ {
1955
+ "epoch": 20.27,
1956
+ "learning_rate": 0.00025320962888665993,
1957
+ "loss": 0.0418,
1958
+ "step": 1585
1959
+ },
1960
+ {
1961
+ "epoch": 20.34,
1962
+ "learning_rate": 0.00025305917753259776,
1963
+ "loss": 0.0436,
1964
+ "step": 1590
1965
+ },
1966
+ {
1967
+ "epoch": 20.4,
1968
+ "learning_rate": 0.0002529087261785356,
1969
+ "loss": 0.0439,
1970
+ "step": 1595
1971
+ },
1972
+ {
1973
+ "epoch": 20.46,
1974
+ "learning_rate": 0.0002527582748244734,
1975
+ "loss": 0.0458,
1976
+ "step": 1600
1977
+ },
1978
+ {
1979
+ "epoch": 20.53,
1980
+ "learning_rate": 0.00025260782347041123,
1981
+ "loss": 0.0443,
1982
+ "step": 1605
1983
+ },
1984
+ {
1985
+ "epoch": 20.59,
1986
+ "learning_rate": 0.00025245737211634906,
1987
+ "loss": 0.0443,
1988
+ "step": 1610
1989
+ },
1990
+ {
1991
+ "epoch": 20.66,
1992
+ "learning_rate": 0.00025230692076228683,
1993
+ "loss": 0.0439,
1994
+ "step": 1615
1995
+ },
1996
+ {
1997
+ "epoch": 20.72,
1998
+ "learning_rate": 0.00025215646940822465,
1999
+ "loss": 0.0431,
2000
+ "step": 1620
2001
+ },
2002
+ {
2003
+ "epoch": 20.78,
2004
+ "learning_rate": 0.0002520060180541625,
2005
+ "loss": 0.0451,
2006
+ "step": 1625
2007
+ },
2008
+ {
2009
+ "epoch": 20.85,
2010
+ "learning_rate": 0.00025185556670010025,
2011
+ "loss": 0.0474,
2012
+ "step": 1630
2013
+ },
2014
+ {
2015
+ "epoch": 20.91,
2016
+ "learning_rate": 0.0002517051153460381,
2017
+ "loss": 0.0479,
2018
+ "step": 1635
2019
+ },
2020
+ {
2021
+ "epoch": 20.98,
2022
+ "learning_rate": 0.0002515546639919759,
2023
+ "loss": 0.0483,
2024
+ "step": 1640
2025
+ },
2026
+ {
2027
+ "epoch": 21.04,
2028
+ "learning_rate": 0.0002514042126379137,
2029
+ "loss": 0.0368,
2030
+ "step": 1645
2031
+ },
2032
+ {
2033
+ "epoch": 21.1,
2034
+ "learning_rate": 0.00025125376128385155,
2035
+ "loss": 0.032,
2036
+ "step": 1650
2037
+ },
2038
+ {
2039
+ "epoch": 21.17,
2040
+ "learning_rate": 0.0002511033099297894,
2041
+ "loss": 0.0343,
2042
+ "step": 1655
2043
+ },
2044
+ {
2045
+ "epoch": 21.23,
2046
+ "learning_rate": 0.00025095285857572715,
2047
+ "loss": 0.0366,
2048
+ "step": 1660
2049
+ },
2050
+ {
2051
+ "epoch": 21.29,
2052
+ "learning_rate": 0.000250802407221665,
2053
+ "loss": 0.0377,
2054
+ "step": 1665
2055
+ },
2056
+ {
2057
+ "epoch": 21.36,
2058
+ "learning_rate": 0.0002506519558676028,
2059
+ "loss": 0.0378,
2060
+ "step": 1670
2061
+ },
2062
+ {
2063
+ "epoch": 21.42,
2064
+ "learning_rate": 0.00025050150451354057,
2065
+ "loss": 0.0374,
2066
+ "step": 1675
2067
+ },
2068
+ {
2069
+ "epoch": 21.49,
2070
+ "learning_rate": 0.0002503510531594784,
2071
+ "loss": 0.0421,
2072
+ "step": 1680
2073
+ },
2074
+ {
2075
+ "epoch": 21.55,
2076
+ "learning_rate": 0.0002502006018054162,
2077
+ "loss": 0.037,
2078
+ "step": 1685
2079
+ },
2080
+ {
2081
+ "epoch": 21.61,
2082
+ "learning_rate": 0.00025005015045135405,
2083
+ "loss": 0.0392,
2084
+ "step": 1690
2085
+ },
2086
+ {
2087
+ "epoch": 21.68,
2088
+ "learning_rate": 0.00024989969909729187,
2089
+ "loss": 0.0421,
2090
+ "step": 1695
2091
+ },
2092
+ {
2093
+ "epoch": 21.74,
2094
+ "learning_rate": 0.0002497492477432297,
2095
+ "loss": 0.0425,
2096
+ "step": 1700
2097
+ },
2098
+ {
2099
+ "epoch": 21.81,
2100
+ "learning_rate": 0.00024959879638916747,
2101
+ "loss": 0.0442,
2102
+ "step": 1705
2103
+ },
2104
+ {
2105
+ "epoch": 21.87,
2106
+ "learning_rate": 0.0002494483450351053,
2107
+ "loss": 0.042,
2108
+ "step": 1710
2109
+ },
2110
+ {
2111
+ "epoch": 21.93,
2112
+ "learning_rate": 0.0002492978936810431,
2113
+ "loss": 0.0425,
2114
+ "step": 1715
2115
+ },
2116
+ {
2117
+ "epoch": 22.0,
2118
+ "learning_rate": 0.0002491474423269809,
2119
+ "loss": 0.0432,
2120
+ "step": 1720
2121
+ },
2122
+ {
2123
+ "epoch": 22.06,
2124
+ "learning_rate": 0.0002489969909729187,
2125
+ "loss": 0.029,
2126
+ "step": 1725
2127
+ },
2128
+ {
2129
+ "epoch": 22.13,
2130
+ "learning_rate": 0.00024884653961885654,
2131
+ "loss": 0.0303,
2132
+ "step": 1730
2133
+ },
2134
+ {
2135
+ "epoch": 22.19,
2136
+ "learning_rate": 0.00024869608826479436,
2137
+ "loss": 0.0324,
2138
+ "step": 1735
2139
+ },
2140
+ {
2141
+ "epoch": 22.25,
2142
+ "learning_rate": 0.0002485456369107322,
2143
+ "loss": 0.0319,
2144
+ "step": 1740
2145
+ },
2146
+ {
2147
+ "epoch": 22.32,
2148
+ "learning_rate": 0.00024839518555667,
2149
+ "loss": 0.0325,
2150
+ "step": 1745
2151
+ },
2152
+ {
2153
+ "epoch": 22.38,
2154
+ "learning_rate": 0.0002482447342026078,
2155
+ "loss": 0.033,
2156
+ "step": 1750
2157
+ },
2158
+ {
2159
+ "epoch": 22.38,
2160
+ "eval_loss": 1.8502811193466187,
2161
+ "eval_runtime": 0.319,
2162
+ "eval_samples_per_second": 31.348,
2163
+ "eval_steps_per_second": 3.135,
2164
+ "step": 1750
2165
+ },
2166
+ {
2167
+ "epoch": 22.45,
2168
+ "learning_rate": 0.0002480942828485456,
2169
+ "loss": 0.032,
2170
+ "step": 1755
2171
+ },
2172
+ {
2173
+ "epoch": 22.51,
2174
+ "learning_rate": 0.00024794383149448344,
2175
+ "loss": 0.0352,
2176
+ "step": 1760
2177
+ },
2178
+ {
2179
+ "epoch": 22.57,
2180
+ "learning_rate": 0.0002477933801404212,
2181
+ "loss": 0.0367,
2182
+ "step": 1765
2183
+ },
2184
+ {
2185
+ "epoch": 22.64,
2186
+ "learning_rate": 0.00024764292878635903,
2187
+ "loss": 0.0382,
2188
+ "step": 1770
2189
+ },
2190
+ {
2191
+ "epoch": 22.7,
2192
+ "learning_rate": 0.00024749247743229686,
2193
+ "loss": 0.039,
2194
+ "step": 1775
2195
+ },
2196
+ {
2197
+ "epoch": 22.77,
2198
+ "learning_rate": 0.0002473420260782347,
2199
+ "loss": 0.0387,
2200
+ "step": 1780
2201
+ },
2202
+ {
2203
+ "epoch": 22.83,
2204
+ "learning_rate": 0.0002471915747241725,
2205
+ "loss": 0.0411,
2206
+ "step": 1785
2207
+ },
2208
+ {
2209
+ "epoch": 22.89,
2210
+ "learning_rate": 0.00024704112337011033,
2211
+ "loss": 0.04,
2212
+ "step": 1790
2213
+ },
2214
+ {
2215
+ "epoch": 22.96,
2216
+ "learning_rate": 0.0002468906720160481,
2217
+ "loss": 0.0405,
2218
+ "step": 1795
2219
+ },
2220
+ {
2221
+ "epoch": 23.02,
2222
+ "learning_rate": 0.00024674022066198593,
2223
+ "loss": 0.0347,
2224
+ "step": 1800
2225
+ },
2226
+ {
2227
+ "epoch": 23.09,
2228
+ "learning_rate": 0.00024658976930792375,
2229
+ "loss": 0.0295,
2230
+ "step": 1805
2231
+ },
2232
+ {
2233
+ "epoch": 23.15,
2234
+ "learning_rate": 0.0002464393179538615,
2235
+ "loss": 0.0298,
2236
+ "step": 1810
2237
+ },
2238
+ {
2239
+ "epoch": 23.21,
2240
+ "learning_rate": 0.00024628886659979935,
2241
+ "loss": 0.0314,
2242
+ "step": 1815
2243
+ },
2244
+ {
2245
+ "epoch": 23.28,
2246
+ "learning_rate": 0.0002461384152457372,
2247
+ "loss": 0.0334,
2248
+ "step": 1820
2249
+ },
2250
+ {
2251
+ "epoch": 23.34,
2252
+ "learning_rate": 0.000245987963891675,
2253
+ "loss": 0.035,
2254
+ "step": 1825
2255
+ },
2256
+ {
2257
+ "epoch": 23.41,
2258
+ "learning_rate": 0.0002458375125376128,
2259
+ "loss": 0.033,
2260
+ "step": 1830
2261
+ },
2262
+ {
2263
+ "epoch": 23.47,
2264
+ "learning_rate": 0.00024568706118355065,
2265
+ "loss": 0.0336,
2266
+ "step": 1835
2267
+ },
2268
+ {
2269
+ "epoch": 23.53,
2270
+ "learning_rate": 0.0002455366098294884,
2271
+ "loss": 0.0338,
2272
+ "step": 1840
2273
+ },
2274
+ {
2275
+ "epoch": 23.6,
2276
+ "learning_rate": 0.00024538615847542625,
2277
+ "loss": 0.0371,
2278
+ "step": 1845
2279
+ },
2280
+ {
2281
+ "epoch": 23.66,
2282
+ "learning_rate": 0.0002452357071213641,
2283
+ "loss": 0.0372,
2284
+ "step": 1850
2285
+ },
2286
+ {
2287
+ "epoch": 23.73,
2288
+ "learning_rate": 0.00024508525576730184,
2289
+ "loss": 0.0365,
2290
+ "step": 1855
2291
+ },
2292
+ {
2293
+ "epoch": 23.79,
2294
+ "learning_rate": 0.00024493480441323967,
2295
+ "loss": 0.0368,
2296
+ "step": 1860
2297
+ },
2298
+ {
2299
+ "epoch": 23.85,
2300
+ "learning_rate": 0.0002447843530591775,
2301
+ "loss": 0.0347,
2302
+ "step": 1865
2303
+ },
2304
+ {
2305
+ "epoch": 23.92,
2306
+ "learning_rate": 0.0002446339017051153,
2307
+ "loss": 0.0362,
2308
+ "step": 1870
2309
+ },
2310
+ {
2311
+ "epoch": 23.98,
2312
+ "learning_rate": 0.00024448345035105315,
2313
+ "loss": 0.0379,
2314
+ "step": 1875
2315
+ },
2316
+ {
2317
+ "epoch": 24.04,
2318
+ "learning_rate": 0.00024433299899699097,
2319
+ "loss": 0.0398,
2320
+ "step": 1880
2321
+ },
2322
+ {
2323
+ "epoch": 24.11,
2324
+ "learning_rate": 0.00024418254764292874,
2325
+ "loss": 0.0288,
2326
+ "step": 1885
2327
+ },
2328
+ {
2329
+ "epoch": 24.17,
2330
+ "learning_rate": 0.00024403209628886657,
2331
+ "loss": 0.0305,
2332
+ "step": 1890
2333
+ },
2334
+ {
2335
+ "epoch": 24.24,
2336
+ "learning_rate": 0.0002438816449348044,
2337
+ "loss": 0.0304,
2338
+ "step": 1895
2339
+ },
2340
+ {
2341
+ "epoch": 24.3,
2342
+ "learning_rate": 0.0002437311935807422,
2343
+ "loss": 0.0282,
2344
+ "step": 1900
2345
+ },
2346
+ {
2347
+ "epoch": 24.36,
2348
+ "learning_rate": 0.00024358074222668002,
2349
+ "loss": 0.0289,
2350
+ "step": 1905
2351
+ },
2352
+ {
2353
+ "epoch": 24.43,
2354
+ "learning_rate": 0.00024343029087261784,
2355
+ "loss": 0.0302,
2356
+ "step": 1910
2357
+ },
2358
+ {
2359
+ "epoch": 24.49,
2360
+ "learning_rate": 0.00024327983951855564,
2361
+ "loss": 0.0258,
2362
+ "step": 1915
2363
+ },
2364
+ {
2365
+ "epoch": 24.56,
2366
+ "learning_rate": 0.00024312938816449346,
2367
+ "loss": 0.0266,
2368
+ "step": 1920
2369
+ },
2370
+ {
2371
+ "epoch": 24.62,
2372
+ "learning_rate": 0.0002429789368104313,
2373
+ "loss": 0.0278,
2374
+ "step": 1925
2375
+ },
2376
+ {
2377
+ "epoch": 24.68,
2378
+ "learning_rate": 0.00024282848545636906,
2379
+ "loss": 0.0316,
2380
+ "step": 1930
2381
+ },
2382
+ {
2383
+ "epoch": 24.75,
2384
+ "learning_rate": 0.00024267803410230689,
2385
+ "loss": 0.0328,
2386
+ "step": 1935
2387
+ },
2388
+ {
2389
+ "epoch": 24.81,
2390
+ "learning_rate": 0.0002425275827482447,
2391
+ "loss": 0.0336,
2392
+ "step": 1940
2393
+ },
2394
+ {
2395
+ "epoch": 24.88,
2396
+ "learning_rate": 0.0002423771313941825,
2397
+ "loss": 0.0311,
2398
+ "step": 1945
2399
+ },
2400
+ {
2401
+ "epoch": 24.94,
2402
+ "learning_rate": 0.00024222668004012033,
2403
+ "loss": 0.0324,
2404
+ "step": 1950
2405
+ },
2406
+ {
2407
+ "epoch": 25.0,
2408
+ "learning_rate": 0.00024207622868605816,
2409
+ "loss": 0.0339,
2410
+ "step": 1955
2411
+ },
2412
+ {
2413
+ "epoch": 25.07,
2414
+ "learning_rate": 0.00024192577733199596,
2415
+ "loss": 0.0235,
2416
+ "step": 1960
2417
+ },
2418
+ {
2419
+ "epoch": 25.13,
2420
+ "learning_rate": 0.00024177532597793378,
2421
+ "loss": 0.029,
2422
+ "step": 1965
2423
+ },
2424
+ {
2425
+ "epoch": 25.2,
2426
+ "learning_rate": 0.0002416248746238716,
2427
+ "loss": 0.0281,
2428
+ "step": 1970
2429
+ },
2430
+ {
2431
+ "epoch": 25.26,
2432
+ "learning_rate": 0.00024147442326980938,
2433
+ "loss": 0.0276,
2434
+ "step": 1975
2435
+ },
2436
+ {
2437
+ "epoch": 25.32,
2438
+ "learning_rate": 0.0002413239719157472,
2439
+ "loss": 0.0282,
2440
+ "step": 1980
2441
+ },
2442
+ {
2443
+ "epoch": 25.39,
2444
+ "learning_rate": 0.00024117352056168503,
2445
+ "loss": 0.0308,
2446
+ "step": 1985
2447
+ },
2448
+ {
2449
+ "epoch": 25.45,
2450
+ "learning_rate": 0.00024102306920762283,
2451
+ "loss": 0.0313,
2452
+ "step": 1990
2453
+ },
2454
+ {
2455
+ "epoch": 25.52,
2456
+ "learning_rate": 0.00024087261785356065,
2457
+ "loss": 0.0311,
2458
+ "step": 1995
2459
+ },
2460
+ {
2461
+ "epoch": 25.58,
2462
+ "learning_rate": 0.00024072216649949848,
2463
+ "loss": 0.0307,
2464
+ "step": 2000
2465
+ },
2466
+ {
2467
+ "epoch": 25.58,
2468
+ "eval_loss": 1.802398920059204,
2469
+ "eval_runtime": 0.3194,
2470
+ "eval_samples_per_second": 31.309,
2471
+ "eval_steps_per_second": 3.131,
2472
+ "step": 2000
2473
+ }
2474
+ ],
2475
+ "max_steps": 10000,
2476
+ "num_train_epochs": 129,
2477
+ "total_flos": 4.2458758196763034e+17,
2478
+ "trial_name": null,
2479
+ "trial_params": null
2480
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:60971362b90305a243e89870fdbd1e58c6051b6dc7d4bf488197c29f83972e9a
3
+ size 4091
vocab.json ADDED
The diff for this file is too large to render. See raw diff