Hugging Face's logo

benjamin
/
roberta-base-wechsel-german

Fill-Mask
Transformers
PyTorch
Safetensors
German
roberta
Model card Files
xet
Community
2
benjamin commited on
Commit
f63ec76
·
1 Parent(s): a5d0be0

initial commit

Browse files
Files changed (20) hide show
  1. README.md +76 -0
  2. config.json +28 -0
  3. merges.txt +0 -0
  4. optimizer.pt +3 -0
  5. pytorch_model.bin +3 -0
  6. rng_state_0.pth +3 -0
  7. rng_state_1.pth +3 -0
  8. rng_state_2.pth +3 -0
  9. rng_state_3.pth +3 -0
  10. rng_state_4.pth +3 -0
  11. rng_state_5.pth +3 -0
  12. rng_state_6.pth +3 -0
  13. rng_state_7.pth +3 -0
  14. scheduler.pt +3 -0
  15. special_tokens_map.json +1 -0
  16. tokenizer.json +0 -0
  17. tokenizer_config.json +1 -0
  18. trainer_state.json +3176 -0
  19. training_args.bin +3 -0
  20. vocab.json +0 -0
README.md ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ language: de
3
+ license: mit
4
+ ---
5
+
6
+ # roberta-base-wechsel-german
7
+
8
+ Model trained with WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
9
+
10
+ See the code here: https://github.com/CPJKU/wechsel
11
+
12
+ And the paper here: https://arxiv.org/abs/2112.06598
13
+
14
+ ## Performance
15
+
16
+ ### RoBERTa
17
+
18
+ | Model | NLI Score | NER Score | Avg Score |
19
+ |---|---|---|---|
20
+ | `roberta-base-wechsel-french` | **82.43** | **90.88** | **86.65** |
21
+ | `camembert-base` | 80.88 | 90.26 | 85.57 |
22
+
23
+
24
+ | Model | NLI Score | NER Score | Avg Score |
25
+ |---|---|---|---|
26
+ | `roberta-base-wechsel-german` | **81.79** | **89.72** | **85.76** |
27
+ | `deepset/gbert-base` | 78.64 | 89.46 | 84.05 |
28
+
29
+ | Model | NLI Score | NER Score | Avg Score |
30
+ |---|---|---|---|
31
+ | `roberta-base-wechsel-chinese` | **78.32** | 80.55 | **79.44** |
32
+ | `bert-base-chinese` | 76.55 | **82.05** | 79.30 |
33
+
34
+ | Model | NLI Score | NER Score | Avg Score |
35
+ |---|---|---|---|
36
+ | `roberta-base-wechsel-swahili` | **75.05** | **87.39** | **81.22** |
37
+ | `xlm-roberta-base` | 69.18 | 87.37 | 78.28 |
38
+
39
+ ### GPT2
40
+
41
+ | Model | PPL |
42
+ |---|---|
43
+ | `gpt2-wechsel-french` | **19.71** |
44
+ | `gpt2` (retrained from scratch) | 20.47 |
45
+
46
+ | Model | PPL |
47
+ |---|---|
48
+ | `gpt2-wechsel-german` | **26.8** |
49
+ | `gpt2` (retrained from scratch) | 27.63 |
50
+
51
+ | Model | PPL |
52
+ |---|---|
53
+ | `gpt2-wechsel-chinese` | **51.97** |
54
+ | `gpt2` (retrained from scratch) | 52.98 |
55
+
56
+ | Model | PPL |
57
+ |---|---|
58
+ | `gpt2-wechsel-swahili` | **10.14** |
59
+ | `gpt2` (retrained from scratch) | 10.58 |
60
+
61
+ See our paper for details.
62
+
63
+ ## Citation
64
+
65
+ Please cite WECHSEL as
66
+
67
+ ```
68
+ @misc{minixhofer2021wechsel,
69
+ title={WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models},
70
+ author={Benjamin Minixhofer and Fabian Paischer and Navid Rekabsaz},
71
+ year={2021},
72
+ eprint={2112.06598},
73
+ archivePrefix={arXiv},
74
+ primaryClass={cs.CL}
75
+ }
76
+ ```
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "roberta-base",
3
+ "architectures": [
4
+ "RobertaForMaskedLM"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "bos_token_id": 0,
8
+ "classifier_dropout": null,
9
+ "eos_token_id": 2,
10
+ "gradient_checkpointing": false,
11
+ "hidden_act": "gelu",
12
+ "hidden_dropout_prob": 0.1,
13
+ "hidden_size": 768,
14
+ "initializer_range": 0.02,
15
+ "intermediate_size": 3072,
16
+ "layer_norm_eps": 1e-05,
17
+ "max_position_embeddings": 514,
18
+ "model_type": "roberta",
19
+ "num_attention_heads": 12,
20
+ "num_hidden_layers": 12,
21
+ "pad_token_id": 1,
22
+ "position_embedding_type": "absolute",
23
+ "torch_dtype": "float32",
24
+ "transformers_version": "4.12.0.dev0",
25
+ "type_vocab_size": 1,
26
+ "use_cache": true,
27
+ "vocab_size": 50265
28
+ }
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 sha256:057e3589ecddb563c22513780604abde0bb42e5d969457d03888b896e0318ca2
3
+ size 997697812
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:004a7d54c37ae3b27a35fdba93f7df896e526dd1ae29755075ff15a782b505a2
3
+ size 498862437
rng_state_0.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6810843a64035c7387961d327d5fd20f416384d14acc1f543734c6b5a0410531
3
+ size 13620
rng_state_1.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e905a97b408508ca3924e38302749e8861e66e15143729d8186ae9829c0dfe0f
3
+ size 13619
rng_state_2.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2c3ae6a28633f1792916c9c891ae9e209bb3c374fdb601b03fceebd1a3096d4e
3
+ size 13619
rng_state_3.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:f211297f2d78582b77c2021056376e94931af278b5aff1db252704d77fab38b9
3
+ size 13619
rng_state_4.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:35f81078ffadd4b3f5cea27d7a88413242d3e64c82d0f9b8791cd28aafa0a38e
3
+ size 13619
rng_state_5.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1e084d70f38cd209a86fd2c76fbcf6f4f68bf3a8508154d19c518702fa9bacdb
3
+ size 13619
rng_state_6.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6a9fb542177b44e05bdc1c35950c606dbb3a68c9942a6baeb405baa51a6257d0
3
+ size 13619
rng_state_7.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:a86d7c49674d7505c890ee342d17cc574cae5d06328ed3cb98cb1c26a35c688a
3
+ size 13619
scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6d0b4a96eb0248824e0d03cc27e17d508bd841e1a3d65ea444c3a1875e2c8a95
3
+ size 623
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"bos_token": "<s>", "eos_token": "</s>", "unk_token": "<unk>", "sep_token": "</s>", "pad_token": "<pad>", "cls_token": "<s>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false}}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "<unk>", "bos_token": "<s>", "eos_token": "</s>", "add_prefix_space": false, "errors": "replace", "sep_token": "</s>", "cls_token": "<s>", "pad_token": "<pad>", "mask_token": {"content": "<mask>", "single_word": false, "lstrip": true, "rstrip": false, "normalized": false, "__type": "AddedToken"}, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "models/roberta_german", "tokenizer_class": "RobertaTokenizer"}
trainer_state.json ADDED
@@ -0,0 +1,3176 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 74.98500299940012,
5
+ "global_step": 250000,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 0.15,
12
+ "learning_rate": 2.0000000000000003e-06,
13
+ "loss": 6.3557,
14
+ "step": 500
15
+ },
16
+ {
17
+ "epoch": 0.3,
18
+ "learning_rate": 4.000000000000001e-06,
19
+ "loss": 5.4171,
20
+ "step": 1000
21
+ },
22
+ {
23
+ "epoch": 0.45,
24
+ "learning_rate": 6e-06,
25
+ "loss": 4.8594,
26
+ "step": 1500
27
+ },
28
+ {
29
+ "epoch": 0.6,
30
+ "learning_rate": 8.000000000000001e-06,
31
+ "loss": 4.488,
32
+ "step": 2000
33
+ },
34
+ {
35
+ "epoch": 0.75,
36
+ "learning_rate": 1e-05,
37
+ "loss": 4.2125,
38
+ "step": 2500
39
+ },
40
+ {
41
+ "epoch": 0.9,
42
+ "learning_rate": 1.2e-05,
43
+ "loss": 3.9836,
44
+ "step": 3000
45
+ },
46
+ {
47
+ "epoch": 1.05,
48
+ "learning_rate": 1.4000000000000001e-05,
49
+ "loss": 3.794,
50
+ "step": 3500
51
+ },
52
+ {
53
+ "epoch": 1.2,
54
+ "learning_rate": 1.6000000000000003e-05,
55
+ "loss": 3.6179,
56
+ "step": 4000
57
+ },
58
+ {
59
+ "epoch": 1.35,
60
+ "learning_rate": 1.8e-05,
61
+ "loss": 3.4697,
62
+ "step": 4500
63
+ },
64
+ {
65
+ "epoch": 1.5,
66
+ "learning_rate": 2e-05,
67
+ "loss": 3.3321,
68
+ "step": 5000
69
+ },
70
+ {
71
+ "epoch": 1.65,
72
+ "learning_rate": 2.2000000000000003e-05,
73
+ "loss": 3.2206,
74
+ "step": 5500
75
+ },
76
+ {
77
+ "epoch": 1.8,
78
+ "learning_rate": 2.4e-05,
79
+ "loss": 3.1178,
80
+ "step": 6000
81
+ },
82
+ {
83
+ "epoch": 1.95,
84
+ "learning_rate": 2.6000000000000002e-05,
85
+ "loss": 3.0262,
86
+ "step": 6500
87
+ },
88
+ {
89
+ "epoch": 2.1,
90
+ "learning_rate": 2.8000000000000003e-05,
91
+ "loss": 2.9351,
92
+ "step": 7000
93
+ },
94
+ {
95
+ "epoch": 2.25,
96
+ "learning_rate": 3e-05,
97
+ "loss": 2.8609,
98
+ "step": 7500
99
+ },
100
+ {
101
+ "epoch": 2.4,
102
+ "learning_rate": 3.2000000000000005e-05,
103
+ "loss": 2.793,
104
+ "step": 8000
105
+ },
106
+ {
107
+ "epoch": 2.55,
108
+ "learning_rate": 3.4000000000000007e-05,
109
+ "loss": 2.7255,
110
+ "step": 8500
111
+ },
112
+ {
113
+ "epoch": 2.7,
114
+ "learning_rate": 3.6e-05,
115
+ "loss": 2.6665,
116
+ "step": 9000
117
+ },
118
+ {
119
+ "epoch": 2.85,
120
+ "learning_rate": 3.8e-05,
121
+ "loss": 2.6135,
122
+ "step": 9500
123
+ },
124
+ {
125
+ "epoch": 3.0,
126
+ "learning_rate": 4e-05,
127
+ "loss": 2.5613,
128
+ "step": 10000
129
+ },
130
+ {
131
+ "epoch": 3.15,
132
+ "learning_rate": 4.2e-05,
133
+ "loss": 2.5102,
134
+ "step": 10500
135
+ },
136
+ {
137
+ "epoch": 3.3,
138
+ "learning_rate": 4.4000000000000006e-05,
139
+ "loss": 2.4629,
140
+ "step": 11000
141
+ },
142
+ {
143
+ "epoch": 3.45,
144
+ "learning_rate": 4.600000000000001e-05,
145
+ "loss": 2.419,
146
+ "step": 11500
147
+ },
148
+ {
149
+ "epoch": 3.6,
150
+ "learning_rate": 4.8e-05,
151
+ "loss": 2.3811,
152
+ "step": 12000
153
+ },
154
+ {
155
+ "epoch": 3.75,
156
+ "learning_rate": 5e-05,
157
+ "loss": 2.3446,
158
+ "step": 12500
159
+ },
160
+ {
161
+ "epoch": 3.75,
162
+ "eval_loss": 2.2050914764404297,
163
+ "eval_runtime": 371.9663,
164
+ "eval_samples_per_second": 458.074,
165
+ "eval_steps_per_second": 3.581,
166
+ "step": 12500
167
+ },
168
+ {
169
+ "epoch": 3.9,
170
+ "learning_rate": 5.2000000000000004e-05,
171
+ "loss": 2.3102,
172
+ "step": 13000
173
+ },
174
+ {
175
+ "epoch": 4.05,
176
+ "learning_rate": 5.4000000000000005e-05,
177
+ "loss": 2.2772,
178
+ "step": 13500
179
+ },
180
+ {
181
+ "epoch": 4.2,
182
+ "learning_rate": 5.6000000000000006e-05,
183
+ "loss": 2.2466,
184
+ "step": 14000
185
+ },
186
+ {
187
+ "epoch": 4.35,
188
+ "learning_rate": 5.8e-05,
189
+ "loss": 2.2166,
190
+ "step": 14500
191
+ },
192
+ {
193
+ "epoch": 4.5,
194
+ "learning_rate": 6e-05,
195
+ "loss": 2.1951,
196
+ "step": 15000
197
+ },
198
+ {
199
+ "epoch": 4.65,
200
+ "learning_rate": 6.2e-05,
201
+ "loss": 2.1697,
202
+ "step": 15500
203
+ },
204
+ {
205
+ "epoch": 4.8,
206
+ "learning_rate": 6.400000000000001e-05,
207
+ "loss": 2.1481,
208
+ "step": 16000
209
+ },
210
+ {
211
+ "epoch": 4.95,
212
+ "learning_rate": 6.6e-05,
213
+ "loss": 2.1281,
214
+ "step": 16500
215
+ },
216
+ {
217
+ "epoch": 5.1,
218
+ "learning_rate": 6.800000000000001e-05,
219
+ "loss": 2.1042,
220
+ "step": 17000
221
+ },
222
+ {
223
+ "epoch": 5.25,
224
+ "learning_rate": 7e-05,
225
+ "loss": 2.0863,
226
+ "step": 17500
227
+ },
228
+ {
229
+ "epoch": 5.4,
230
+ "learning_rate": 7.2e-05,
231
+ "loss": 2.0667,
232
+ "step": 18000
233
+ },
234
+ {
235
+ "epoch": 5.55,
236
+ "learning_rate": 7.4e-05,
237
+ "loss": 2.0539,
238
+ "step": 18500
239
+ },
240
+ {
241
+ "epoch": 5.7,
242
+ "learning_rate": 7.6e-05,
243
+ "loss": 2.0358,
244
+ "step": 19000
245
+ },
246
+ {
247
+ "epoch": 5.85,
248
+ "learning_rate": 7.800000000000001e-05,
249
+ "loss": 2.0244,
250
+ "step": 19500
251
+ },
252
+ {
253
+ "epoch": 6.0,
254
+ "learning_rate": 8e-05,
255
+ "loss": 2.0081,
256
+ "step": 20000
257
+ },
258
+ {
259
+ "epoch": 6.15,
260
+ "learning_rate": 8.2e-05,
261
+ "loss": 1.9923,
262
+ "step": 20500
263
+ },
264
+ {
265
+ "epoch": 6.3,
266
+ "learning_rate": 8.4e-05,
267
+ "loss": 1.9846,
268
+ "step": 21000
269
+ },
270
+ {
271
+ "epoch": 6.45,
272
+ "learning_rate": 8.6e-05,
273
+ "loss": 1.968,
274
+ "step": 21500
275
+ },
276
+ {
277
+ "epoch": 6.6,
278
+ "learning_rate": 8.800000000000001e-05,
279
+ "loss": 1.9588,
280
+ "step": 22000
281
+ },
282
+ {
283
+ "epoch": 6.75,
284
+ "learning_rate": 9e-05,
285
+ "loss": 1.9472,
286
+ "step": 22500
287
+ },
288
+ {
289
+ "epoch": 6.9,
290
+ "learning_rate": 9.200000000000001e-05,
291
+ "loss": 1.9378,
292
+ "step": 23000
293
+ },
294
+ {
295
+ "epoch": 7.05,
296
+ "learning_rate": 9.4e-05,
297
+ "loss": 1.9285,
298
+ "step": 23500
299
+ },
300
+ {
301
+ "epoch": 7.2,
302
+ "learning_rate": 9.6e-05,
303
+ "loss": 1.9167,
304
+ "step": 24000
305
+ },
306
+ {
307
+ "epoch": 7.35,
308
+ "learning_rate": 9.8e-05,
309
+ "loss": 1.9053,
310
+ "step": 24500
311
+ },
312
+ {
313
+ "epoch": 7.5,
314
+ "learning_rate": 0.0001,
315
+ "loss": 1.8975,
316
+ "step": 25000
317
+ },
318
+ {
319
+ "epoch": 7.5,
320
+ "eval_loss": 1.7942529916763306,
321
+ "eval_runtime": 357.1217,
322
+ "eval_samples_per_second": 477.115,
323
+ "eval_steps_per_second": 3.73,
324
+ "step": 25000
325
+ },
326
+ {
327
+ "epoch": 7.65,
328
+ "learning_rate": 9.977777777777779e-05,
329
+ "loss": 1.8928,
330
+ "step": 25500
331
+ },
332
+ {
333
+ "epoch": 7.8,
334
+ "learning_rate": 9.955555555555556e-05,
335
+ "loss": 1.8814,
336
+ "step": 26000
337
+ },
338
+ {
339
+ "epoch": 7.95,
340
+ "learning_rate": 9.933333333333334e-05,
341
+ "loss": 1.8761,
342
+ "step": 26500
343
+ },
344
+ {
345
+ "epoch": 8.1,
346
+ "learning_rate": 9.911111111111112e-05,
347
+ "loss": 1.8629,
348
+ "step": 27000
349
+ },
350
+ {
351
+ "epoch": 8.25,
352
+ "learning_rate": 9.888888888888889e-05,
353
+ "loss": 1.8538,
354
+ "step": 27500
355
+ },
356
+ {
357
+ "epoch": 8.4,
358
+ "learning_rate": 9.866666666666668e-05,
359
+ "loss": 1.8486,
360
+ "step": 28000
361
+ },
362
+ {
363
+ "epoch": 8.55,
364
+ "learning_rate": 9.844444444444444e-05,
365
+ "loss": 1.8439,
366
+ "step": 28500
367
+ },
368
+ {
369
+ "epoch": 8.7,
370
+ "learning_rate": 9.822222222222223e-05,
371
+ "loss": 1.835,
372
+ "step": 29000
373
+ },
374
+ {
375
+ "epoch": 8.85,
376
+ "learning_rate": 9.8e-05,
377
+ "loss": 1.8286,
378
+ "step": 29500
379
+ },
380
+ {
381
+ "epoch": 9.0,
382
+ "learning_rate": 9.777777777777778e-05,
383
+ "loss": 1.8235,
384
+ "step": 30000
385
+ },
386
+ {
387
+ "epoch": 9.15,
388
+ "learning_rate": 9.755555555555555e-05,
389
+ "loss": 1.8151,
390
+ "step": 30500
391
+ },
392
+ {
393
+ "epoch": 9.3,
394
+ "learning_rate": 9.733333333333335e-05,
395
+ "loss": 1.81,
396
+ "step": 31000
397
+ },
398
+ {
399
+ "epoch": 9.45,
400
+ "learning_rate": 9.711111111111111e-05,
401
+ "loss": 1.8049,
402
+ "step": 31500
403
+ },
404
+ {
405
+ "epoch": 9.6,
406
+ "learning_rate": 9.68888888888889e-05,
407
+ "loss": 1.7986,
408
+ "step": 32000
409
+ },
410
+ {
411
+ "epoch": 9.75,
412
+ "learning_rate": 9.666666666666667e-05,
413
+ "loss": 1.797,
414
+ "step": 32500
415
+ },
416
+ {
417
+ "epoch": 9.9,
418
+ "learning_rate": 9.644444444444445e-05,
419
+ "loss": 1.7878,
420
+ "step": 33000
421
+ },
422
+ {
423
+ "epoch": 10.05,
424
+ "learning_rate": 9.622222222222222e-05,
425
+ "loss": 1.7842,
426
+ "step": 33500
427
+ },
428
+ {
429
+ "epoch": 10.2,
430
+ "learning_rate": 9.6e-05,
431
+ "loss": 1.7774,
432
+ "step": 34000
433
+ },
434
+ {
435
+ "epoch": 10.35,
436
+ "learning_rate": 9.577777777777777e-05,
437
+ "loss": 1.7719,
438
+ "step": 34500
439
+ },
440
+ {
441
+ "epoch": 10.5,
442
+ "learning_rate": 9.555555555555557e-05,
443
+ "loss": 1.769,
444
+ "step": 35000
445
+ },
446
+ {
447
+ "epoch": 10.65,
448
+ "learning_rate": 9.533333333333334e-05,
449
+ "loss": 1.7678,
450
+ "step": 35500
451
+ },
452
+ {
453
+ "epoch": 10.8,
454
+ "learning_rate": 9.511111111111112e-05,
455
+ "loss": 1.7598,
456
+ "step": 36000
457
+ },
458
+ {
459
+ "epoch": 10.95,
460
+ "learning_rate": 9.488888888888889e-05,
461
+ "loss": 1.759,
462
+ "step": 36500
463
+ },
464
+ {
465
+ "epoch": 11.1,
466
+ "learning_rate": 9.466666666666667e-05,
467
+ "loss": 1.7488,
468
+ "step": 37000
469
+ },
470
+ {
471
+ "epoch": 11.25,
472
+ "learning_rate": 9.444444444444444e-05,
473
+ "loss": 1.7479,
474
+ "step": 37500
475
+ },
476
+ {
477
+ "epoch": 11.25,
478
+ "eval_loss": 1.6556859016418457,
479
+ "eval_runtime": 356.8188,
480
+ "eval_samples_per_second": 477.52,
481
+ "eval_steps_per_second": 3.733,
482
+ "step": 37500
483
+ },
484
+ {
485
+ "epoch": 11.4,
486
+ "learning_rate": 9.422222222222223e-05,
487
+ "loss": 1.7473,
488
+ "step": 38000
489
+ },
490
+ {
491
+ "epoch": 11.55,
492
+ "learning_rate": 9.4e-05,
493
+ "loss": 1.7423,
494
+ "step": 38500
495
+ },
496
+ {
497
+ "epoch": 11.7,
498
+ "learning_rate": 9.377777777777779e-05,
499
+ "loss": 1.7374,
500
+ "step": 39000
501
+ },
502
+ {
503
+ "epoch": 11.85,
504
+ "learning_rate": 9.355555555555556e-05,
505
+ "loss": 1.7334,
506
+ "step": 39500
507
+ },
508
+ {
509
+ "epoch": 12.0,
510
+ "learning_rate": 9.333333333333334e-05,
511
+ "loss": 1.7315,
512
+ "step": 40000
513
+ },
514
+ {
515
+ "epoch": 12.15,
516
+ "learning_rate": 9.311111111111111e-05,
517
+ "loss": 1.725,
518
+ "step": 40500
519
+ },
520
+ {
521
+ "epoch": 12.3,
522
+ "learning_rate": 9.28888888888889e-05,
523
+ "loss": 1.722,
524
+ "step": 41000
525
+ },
526
+ {
527
+ "epoch": 12.45,
528
+ "learning_rate": 9.266666666666666e-05,
529
+ "loss": 1.7219,
530
+ "step": 41500
531
+ },
532
+ {
533
+ "epoch": 12.6,
534
+ "learning_rate": 9.244444444444445e-05,
535
+ "loss": 1.7211,
536
+ "step": 42000
537
+ },
538
+ {
539
+ "epoch": 12.75,
540
+ "learning_rate": 9.222222222222223e-05,
541
+ "loss": 1.716,
542
+ "step": 42500
543
+ },
544
+ {
545
+ "epoch": 12.9,
546
+ "learning_rate": 9.200000000000001e-05,
547
+ "loss": 1.7118,
548
+ "step": 43000
549
+ },
550
+ {
551
+ "epoch": 13.05,
552
+ "learning_rate": 9.177777777777778e-05,
553
+ "loss": 1.7106,
554
+ "step": 43500
555
+ },
556
+ {
557
+ "epoch": 13.2,
558
+ "learning_rate": 9.155555555555557e-05,
559
+ "loss": 1.7033,
560
+ "step": 44000
561
+ },
562
+ {
563
+ "epoch": 13.35,
564
+ "learning_rate": 9.133333333333334e-05,
565
+ "loss": 1.703,
566
+ "step": 44500
567
+ },
568
+ {
569
+ "epoch": 13.5,
570
+ "learning_rate": 9.111111111111112e-05,
571
+ "loss": 1.7002,
572
+ "step": 45000
573
+ },
574
+ {
575
+ "epoch": 13.65,
576
+ "learning_rate": 9.088888888888889e-05,
577
+ "loss": 1.7012,
578
+ "step": 45500
579
+ },
580
+ {
581
+ "epoch": 13.8,
582
+ "learning_rate": 9.066666666666667e-05,
583
+ "loss": 1.6943,
584
+ "step": 46000
585
+ },
586
+ {
587
+ "epoch": 13.95,
588
+ "learning_rate": 9.044444444444445e-05,
589
+ "loss": 1.6932,
590
+ "step": 46500
591
+ },
592
+ {
593
+ "epoch": 14.1,
594
+ "learning_rate": 9.022222222222224e-05,
595
+ "loss": 1.6912,
596
+ "step": 47000
597
+ },
598
+ {
599
+ "epoch": 14.25,
600
+ "learning_rate": 9e-05,
601
+ "loss": 1.687,
602
+ "step": 47500
603
+ },
604
+ {
605
+ "epoch": 14.4,
606
+ "learning_rate": 8.977777777777779e-05,
607
+ "loss": 1.6875,
608
+ "step": 48000
609
+ },
610
+ {
611
+ "epoch": 14.55,
612
+ "learning_rate": 8.955555555555556e-05,
613
+ "loss": 1.6849,
614
+ "step": 48500
615
+ },
616
+ {
617
+ "epoch": 14.7,
618
+ "learning_rate": 8.933333333333334e-05,
619
+ "loss": 1.6788,
620
+ "step": 49000
621
+ },
622
+ {
623
+ "epoch": 14.85,
624
+ "learning_rate": 8.911111111111111e-05,
625
+ "loss": 1.6801,
626
+ "step": 49500
627
+ },
628
+ {
629
+ "epoch": 15.0,
630
+ "learning_rate": 8.888888888888889e-05,
631
+ "loss": 1.6774,
632
+ "step": 50000
633
+ },
634
+ {
635
+ "epoch": 15.0,
636
+ "eval_loss": 1.5897281169891357,
637
+ "eval_runtime": 357.0501,
638
+ "eval_samples_per_second": 477.21,
639
+ "eval_steps_per_second": 3.731,
640
+ "step": 50000
641
+ },
642
+ {
643
+ "epoch": 15.15,
644
+ "learning_rate": 8.866666666666668e-05,
645
+ "loss": 1.6729,
646
+ "step": 50500
647
+ },
648
+ {
649
+ "epoch": 15.3,
650
+ "learning_rate": 8.844444444444445e-05,
651
+ "loss": 1.672,
652
+ "step": 51000
653
+ },
654
+ {
655
+ "epoch": 15.45,
656
+ "learning_rate": 8.822222222222223e-05,
657
+ "loss": 1.6724,
658
+ "step": 51500
659
+ },
660
+ {
661
+ "epoch": 15.6,
662
+ "learning_rate": 8.800000000000001e-05,
663
+ "loss": 1.6688,
664
+ "step": 52000
665
+ },
666
+ {
667
+ "epoch": 15.75,
668
+ "learning_rate": 8.777777777777778e-05,
669
+ "loss": 1.6658,
670
+ "step": 52500
671
+ },
672
+ {
673
+ "epoch": 15.9,
674
+ "learning_rate": 8.755555555555556e-05,
675
+ "loss": 1.6633,
676
+ "step": 53000
677
+ },
678
+ {
679
+ "epoch": 16.05,
680
+ "learning_rate": 8.733333333333333e-05,
681
+ "loss": 1.6618,
682
+ "step": 53500
683
+ },
684
+ {
685
+ "epoch": 16.2,
686
+ "learning_rate": 8.711111111111112e-05,
687
+ "loss": 1.6586,
688
+ "step": 54000
689
+ },
690
+ {
691
+ "epoch": 16.35,
692
+ "learning_rate": 8.68888888888889e-05,
693
+ "loss": 1.6573,
694
+ "step": 54500
695
+ },
696
+ {
697
+ "epoch": 16.5,
698
+ "learning_rate": 8.666666666666667e-05,
699
+ "loss": 1.6554,
700
+ "step": 55000
701
+ },
702
+ {
703
+ "epoch": 16.65,
704
+ "learning_rate": 8.644444444444445e-05,
705
+ "loss": 1.6576,
706
+ "step": 55500
707
+ },
708
+ {
709
+ "epoch": 16.8,
710
+ "learning_rate": 8.622222222222222e-05,
711
+ "loss": 1.6539,
712
+ "step": 56000
713
+ },
714
+ {
715
+ "epoch": 16.95,
716
+ "learning_rate": 8.6e-05,
717
+ "loss": 1.6523,
718
+ "step": 56500
719
+ },
720
+ {
721
+ "epoch": 17.1,
722
+ "learning_rate": 8.577777777777777e-05,
723
+ "loss": 1.6473,
724
+ "step": 57000
725
+ },
726
+ {
727
+ "epoch": 17.25,
728
+ "learning_rate": 8.555555555555556e-05,
729
+ "loss": 1.6475,
730
+ "step": 57500
731
+ },
732
+ {
733
+ "epoch": 17.4,
734
+ "learning_rate": 8.533333333333334e-05,
735
+ "loss": 1.647,
736
+ "step": 58000
737
+ },
738
+ {
739
+ "epoch": 17.55,
740
+ "learning_rate": 8.511111111111112e-05,
741
+ "loss": 1.6421,
742
+ "step": 58500
743
+ },
744
+ {
745
+ "epoch": 17.7,
746
+ "learning_rate": 8.488888888888889e-05,
747
+ "loss": 1.6444,
748
+ "step": 59000
749
+ },
750
+ {
751
+ "epoch": 17.85,
752
+ "learning_rate": 8.466666666666667e-05,
753
+ "loss": 1.6446,
754
+ "step": 59500
755
+ },
756
+ {
757
+ "epoch": 18.0,
758
+ "learning_rate": 8.444444444444444e-05,
759
+ "loss": 1.6423,
760
+ "step": 60000
761
+ },
762
+ {
763
+ "epoch": 18.15,
764
+ "learning_rate": 8.422222222222223e-05,
765
+ "loss": 1.6394,
766
+ "step": 60500
767
+ },
768
+ {
769
+ "epoch": 18.3,
770
+ "learning_rate": 8.4e-05,
771
+ "loss": 1.6348,
772
+ "step": 61000
773
+ },
774
+ {
775
+ "epoch": 18.45,
776
+ "learning_rate": 8.377777777777778e-05,
777
+ "loss": 1.633,
778
+ "step": 61500
779
+ },
780
+ {
781
+ "epoch": 18.6,
782
+ "learning_rate": 8.355555555555556e-05,
783
+ "loss": 1.6364,
784
+ "step": 62000
785
+ },
786
+ {
787
+ "epoch": 18.75,
788
+ "learning_rate": 8.333333333333334e-05,
789
+ "loss": 1.6314,
790
+ "step": 62500
791
+ },
792
+ {
793
+ "epoch": 18.75,
794
+ "eval_loss": 1.5525341033935547,
795
+ "eval_runtime": 356.5096,
796
+ "eval_samples_per_second": 477.934,
797
+ "eval_steps_per_second": 3.736,
798
+ "step": 62500
799
+ },
800
+ {
801
+ "epoch": 18.9,
802
+ "learning_rate": 8.311111111111111e-05,
803
+ "loss": 1.6316,
804
+ "step": 63000
805
+ },
806
+ {
807
+ "epoch": 19.05,
808
+ "learning_rate": 8.28888888888889e-05,
809
+ "loss": 1.6315,
810
+ "step": 63500
811
+ },
812
+ {
813
+ "epoch": 19.2,
814
+ "learning_rate": 8.266666666666667e-05,
815
+ "loss": 1.6288,
816
+ "step": 64000
817
+ },
818
+ {
819
+ "epoch": 19.35,
820
+ "learning_rate": 8.244444444444445e-05,
821
+ "loss": 1.6277,
822
+ "step": 64500
823
+ },
824
+ {
825
+ "epoch": 19.5,
826
+ "learning_rate": 8.222222222222222e-05,
827
+ "loss": 1.6258,
828
+ "step": 65000
829
+ },
830
+ {
831
+ "epoch": 19.65,
832
+ "learning_rate": 8.2e-05,
833
+ "loss": 1.6223,
834
+ "step": 65500
835
+ },
836
+ {
837
+ "epoch": 19.8,
838
+ "learning_rate": 8.177777777777778e-05,
839
+ "loss": 1.6217,
840
+ "step": 66000
841
+ },
842
+ {
843
+ "epoch": 19.95,
844
+ "learning_rate": 8.155555555555557e-05,
845
+ "loss": 1.6254,
846
+ "step": 66500
847
+ },
848
+ {
849
+ "epoch": 20.1,
850
+ "learning_rate": 8.133333333333334e-05,
851
+ "loss": 1.6196,
852
+ "step": 67000
853
+ },
854
+ {
855
+ "epoch": 20.25,
856
+ "learning_rate": 8.111111111111112e-05,
857
+ "loss": 1.6172,
858
+ "step": 67500
859
+ },
860
+ {
861
+ "epoch": 20.4,
862
+ "learning_rate": 8.088888888888889e-05,
863
+ "loss": 1.6162,
864
+ "step": 68000
865
+ },
866
+ {
867
+ "epoch": 20.55,
868
+ "learning_rate": 8.066666666666667e-05,
869
+ "loss": 1.6136,
870
+ "step": 68500
871
+ },
872
+ {
873
+ "epoch": 20.7,
874
+ "learning_rate": 8.044444444444444e-05,
875
+ "loss": 1.6162,
876
+ "step": 69000
877
+ },
878
+ {
879
+ "epoch": 20.85,
880
+ "learning_rate": 8.022222222222222e-05,
881
+ "loss": 1.6153,
882
+ "step": 69500
883
+ },
884
+ {
885
+ "epoch": 21.0,
886
+ "learning_rate": 8e-05,
887
+ "loss": 1.613,
888
+ "step": 70000
889
+ },
890
+ {
891
+ "epoch": 21.15,
892
+ "learning_rate": 7.977777777777779e-05,
893
+ "loss": 1.6098,
894
+ "step": 70500
895
+ },
896
+ {
897
+ "epoch": 21.3,
898
+ "learning_rate": 7.955555555555556e-05,
899
+ "loss": 1.6115,
900
+ "step": 71000
901
+ },
902
+ {
903
+ "epoch": 21.45,
904
+ "learning_rate": 7.933333333333334e-05,
905
+ "loss": 1.6077,
906
+ "step": 71500
907
+ },
908
+ {
909
+ "epoch": 21.6,
910
+ "learning_rate": 7.911111111111111e-05,
911
+ "loss": 1.6077,
912
+ "step": 72000
913
+ },
914
+ {
915
+ "epoch": 21.75,
916
+ "learning_rate": 7.88888888888889e-05,
917
+ "loss": 1.607,
918
+ "step": 72500
919
+ },
920
+ {
921
+ "epoch": 21.9,
922
+ "learning_rate": 7.866666666666666e-05,
923
+ "loss": 1.607,
924
+ "step": 73000
925
+ },
926
+ {
927
+ "epoch": 22.05,
928
+ "learning_rate": 7.844444444444446e-05,
929
+ "loss": 1.6067,
930
+ "step": 73500
931
+ },
932
+ {
933
+ "epoch": 22.2,
934
+ "learning_rate": 7.822222222222223e-05,
935
+ "loss": 1.6024,
936
+ "step": 74000
937
+ },
938
+ {
939
+ "epoch": 22.35,
940
+ "learning_rate": 7.800000000000001e-05,
941
+ "loss": 1.6028,
942
+ "step": 74500
943
+ },
944
+ {
945
+ "epoch": 22.5,
946
+ "learning_rate": 7.777777777777778e-05,
947
+ "loss": 1.6017,
948
+ "step": 75000
949
+ },
950
+ {
951
+ "epoch": 22.5,
952
+ "eval_loss": 1.525025725364685,
953
+ "eval_runtime": 356.6664,
954
+ "eval_samples_per_second": 477.724,
955
+ "eval_steps_per_second": 3.735,
956
+ "step": 75000
957
+ },
958
+ {
959
+ "epoch": 22.65,
960
+ "learning_rate": 7.755555555555556e-05,
961
+ "loss": 1.5995,
962
+ "step": 75500
963
+ },
964
+ {
965
+ "epoch": 22.8,
966
+ "learning_rate": 7.733333333333333e-05,
967
+ "loss": 1.596,
968
+ "step": 76000
969
+ },
970
+ {
971
+ "epoch": 22.95,
972
+ "learning_rate": 7.711111111111112e-05,
973
+ "loss": 1.6002,
974
+ "step": 76500
975
+ },
976
+ {
977
+ "epoch": 23.1,
978
+ "learning_rate": 7.688888888888889e-05,
979
+ "loss": 1.5939,
980
+ "step": 77000
981
+ },
982
+ {
983
+ "epoch": 23.25,
984
+ "learning_rate": 7.666666666666667e-05,
985
+ "loss": 1.5929,
986
+ "step": 77500
987
+ },
988
+ {
989
+ "epoch": 23.4,
990
+ "learning_rate": 7.644444444444445e-05,
991
+ "loss": 1.5948,
992
+ "step": 78000
993
+ },
994
+ {
995
+ "epoch": 23.55,
996
+ "learning_rate": 7.622222222222223e-05,
997
+ "loss": 1.5921,
998
+ "step": 78500
999
+ },
1000
+ {
1001
+ "epoch": 23.7,
1002
+ "learning_rate": 7.6e-05,
1003
+ "loss": 1.5917,
1004
+ "step": 79000
1005
+ },
1006
+ {
1007
+ "epoch": 23.85,
1008
+ "learning_rate": 7.577777777777779e-05,
1009
+ "loss": 1.5953,
1010
+ "step": 79500
1011
+ },
1012
+ {
1013
+ "epoch": 24.0,
1014
+ "learning_rate": 7.555555555555556e-05,
1015
+ "loss": 1.5909,
1016
+ "step": 80000
1017
+ },
1018
+ {
1019
+ "epoch": 24.15,
1020
+ "learning_rate": 7.533333333333334e-05,
1021
+ "loss": 1.5886,
1022
+ "step": 80500
1023
+ },
1024
+ {
1025
+ "epoch": 24.3,
1026
+ "learning_rate": 7.511111111111111e-05,
1027
+ "loss": 1.5873,
1028
+ "step": 81000
1029
+ },
1030
+ {
1031
+ "epoch": 24.45,
1032
+ "learning_rate": 7.488888888888889e-05,
1033
+ "loss": 1.5863,
1034
+ "step": 81500
1035
+ },
1036
+ {
1037
+ "epoch": 24.6,
1038
+ "learning_rate": 7.466666666666667e-05,
1039
+ "loss": 1.5861,
1040
+ "step": 82000
1041
+ },
1042
+ {
1043
+ "epoch": 24.75,
1044
+ "learning_rate": 7.444444444444444e-05,
1045
+ "loss": 1.5845,
1046
+ "step": 82500
1047
+ },
1048
+ {
1049
+ "epoch": 24.9,
1050
+ "learning_rate": 7.422222222222223e-05,
1051
+ "loss": 1.5847,
1052
+ "step": 83000
1053
+ },
1054
+ {
1055
+ "epoch": 25.04,
1056
+ "learning_rate": 7.4e-05,
1057
+ "loss": 1.5832,
1058
+ "step": 83500
1059
+ },
1060
+ {
1061
+ "epoch": 25.19,
1062
+ "learning_rate": 7.377777777777778e-05,
1063
+ "loss": 1.5804,
1064
+ "step": 84000
1065
+ },
1066
+ {
1067
+ "epoch": 25.34,
1068
+ "learning_rate": 7.355555555555556e-05,
1069
+ "loss": 1.5804,
1070
+ "step": 84500
1071
+ },
1072
+ {
1073
+ "epoch": 25.49,
1074
+ "learning_rate": 7.333333333333333e-05,
1075
+ "loss": 1.5809,
1076
+ "step": 85000
1077
+ },
1078
+ {
1079
+ "epoch": 25.64,
1080
+ "learning_rate": 7.311111111111111e-05,
1081
+ "loss": 1.5785,
1082
+ "step": 85500
1083
+ },
1084
+ {
1085
+ "epoch": 25.79,
1086
+ "learning_rate": 7.28888888888889e-05,
1087
+ "loss": 1.5804,
1088
+ "step": 86000
1089
+ },
1090
+ {
1091
+ "epoch": 25.94,
1092
+ "learning_rate": 7.266666666666667e-05,
1093
+ "loss": 1.5796,
1094
+ "step": 86500
1095
+ },
1096
+ {
1097
+ "epoch": 26.09,
1098
+ "learning_rate": 7.244444444444445e-05,
1099
+ "loss": 1.5777,
1100
+ "step": 87000
1101
+ },
1102
+ {
1103
+ "epoch": 26.24,
1104
+ "learning_rate": 7.222222222222222e-05,
1105
+ "loss": 1.5761,
1106
+ "step": 87500
1107
+ },
1108
+ {
1109
+ "epoch": 26.24,
1110
+ "eval_loss": 1.5014694929122925,
1111
+ "eval_runtime": 356.8479,
1112
+ "eval_samples_per_second": 477.481,
1113
+ "eval_steps_per_second": 3.733,
1114
+ "step": 87500
1115
+ },
1116
+ {
1117
+ "epoch": 26.39,
1118
+ "learning_rate": 7.2e-05,
1119
+ "loss": 1.5762,
1120
+ "step": 88000
1121
+ },
1122
+ {
1123
+ "epoch": 26.54,
1124
+ "learning_rate": 7.177777777777777e-05,
1125
+ "loss": 1.5745,
1126
+ "step": 88500
1127
+ },
1128
+ {
1129
+ "epoch": 26.69,
1130
+ "learning_rate": 7.155555555555555e-05,
1131
+ "loss": 1.5726,
1132
+ "step": 89000
1133
+ },
1134
+ {
1135
+ "epoch": 26.84,
1136
+ "learning_rate": 7.133333333333334e-05,
1137
+ "loss": 1.5732,
1138
+ "step": 89500
1139
+ },
1140
+ {
1141
+ "epoch": 26.99,
1142
+ "learning_rate": 7.111111111111112e-05,
1143
+ "loss": 1.5723,
1144
+ "step": 90000
1145
+ },
1146
+ {
1147
+ "epoch": 27.14,
1148
+ "learning_rate": 7.088888888888889e-05,
1149
+ "loss": 1.57,
1150
+ "step": 90500
1151
+ },
1152
+ {
1153
+ "epoch": 27.29,
1154
+ "learning_rate": 7.066666666666667e-05,
1155
+ "loss": 1.5677,
1156
+ "step": 91000
1157
+ },
1158
+ {
1159
+ "epoch": 27.44,
1160
+ "learning_rate": 7.044444444444444e-05,
1161
+ "loss": 1.5684,
1162
+ "step": 91500
1163
+ },
1164
+ {
1165
+ "epoch": 27.59,
1166
+ "learning_rate": 7.022222222222222e-05,
1167
+ "loss": 1.5693,
1168
+ "step": 92000
1169
+ },
1170
+ {
1171
+ "epoch": 27.74,
1172
+ "learning_rate": 7e-05,
1173
+ "loss": 1.5676,
1174
+ "step": 92500
1175
+ },
1176
+ {
1177
+ "epoch": 27.89,
1178
+ "learning_rate": 6.977777777777779e-05,
1179
+ "loss": 1.5673,
1180
+ "step": 93000
1181
+ },
1182
+ {
1183
+ "epoch": 28.04,
1184
+ "learning_rate": 6.955555555555556e-05,
1185
+ "loss": 1.568,
1186
+ "step": 93500
1187
+ },
1188
+ {
1189
+ "epoch": 28.19,
1190
+ "learning_rate": 6.933333333333334e-05,
1191
+ "loss": 1.5646,
1192
+ "step": 94000
1193
+ },
1194
+ {
1195
+ "epoch": 28.34,
1196
+ "learning_rate": 6.911111111111111e-05,
1197
+ "loss": 1.5651,
1198
+ "step": 94500
1199
+ },
1200
+ {
1201
+ "epoch": 28.49,
1202
+ "learning_rate": 6.88888888888889e-05,
1203
+ "loss": 1.5658,
1204
+ "step": 95000
1205
+ },
1206
+ {
1207
+ "epoch": 28.64,
1208
+ "learning_rate": 6.866666666666666e-05,
1209
+ "loss": 1.563,
1210
+ "step": 95500
1211
+ },
1212
+ {
1213
+ "epoch": 28.79,
1214
+ "learning_rate": 6.844444444444445e-05,
1215
+ "loss": 1.5613,
1216
+ "step": 96000
1217
+ },
1218
+ {
1219
+ "epoch": 28.94,
1220
+ "learning_rate": 6.822222222222222e-05,
1221
+ "loss": 1.562,
1222
+ "step": 96500
1223
+ },
1224
+ {
1225
+ "epoch": 29.09,
1226
+ "learning_rate": 6.800000000000001e-05,
1227
+ "loss": 1.5602,
1228
+ "step": 97000
1229
+ },
1230
+ {
1231
+ "epoch": 29.24,
1232
+ "learning_rate": 6.777777777777778e-05,
1233
+ "loss": 1.5587,
1234
+ "step": 97500
1235
+ },
1236
+ {
1237
+ "epoch": 29.39,
1238
+ "learning_rate": 6.755555555555557e-05,
1239
+ "loss": 1.5586,
1240
+ "step": 98000
1241
+ },
1242
+ {
1243
+ "epoch": 29.54,
1244
+ "learning_rate": 6.733333333333333e-05,
1245
+ "loss": 1.5573,
1246
+ "step": 98500
1247
+ },
1248
+ {
1249
+ "epoch": 29.69,
1250
+ "learning_rate": 6.711111111111112e-05,
1251
+ "loss": 1.5574,
1252
+ "step": 99000
1253
+ },
1254
+ {
1255
+ "epoch": 29.84,
1256
+ "learning_rate": 6.688888888888889e-05,
1257
+ "loss": 1.5582,
1258
+ "step": 99500
1259
+ },
1260
+ {
1261
+ "epoch": 29.99,
1262
+ "learning_rate": 6.666666666666667e-05,
1263
+ "loss": 1.5571,
1264
+ "step": 100000
1265
+ },
1266
+ {
1267
+ "epoch": 29.99,
1268
+ "eval_loss": 1.486186146736145,
1269
+ "eval_runtime": 356.5839,
1270
+ "eval_samples_per_second": 477.834,
1271
+ "eval_steps_per_second": 3.735,
1272
+ "step": 100000
1273
+ },
1274
+ {
1275
+ "epoch": 30.14,
1276
+ "learning_rate": 6.644444444444444e-05,
1277
+ "loss": 1.5551,
1278
+ "step": 100500
1279
+ },
1280
+ {
1281
+ "epoch": 30.29,
1282
+ "learning_rate": 6.622222222222224e-05,
1283
+ "loss": 1.555,
1284
+ "step": 101000
1285
+ },
1286
+ {
1287
+ "epoch": 30.44,
1288
+ "learning_rate": 6.6e-05,
1289
+ "loss": 1.5542,
1290
+ "step": 101500
1291
+ },
1292
+ {
1293
+ "epoch": 30.59,
1294
+ "learning_rate": 6.577777777777779e-05,
1295
+ "loss": 1.5542,
1296
+ "step": 102000
1297
+ },
1298
+ {
1299
+ "epoch": 30.74,
1300
+ "learning_rate": 6.555555555555556e-05,
1301
+ "loss": 1.5527,
1302
+ "step": 102500
1303
+ },
1304
+ {
1305
+ "epoch": 30.89,
1306
+ "learning_rate": 6.533333333333334e-05,
1307
+ "loss": 1.5508,
1308
+ "step": 103000
1309
+ },
1310
+ {
1311
+ "epoch": 31.04,
1312
+ "learning_rate": 6.511111111111111e-05,
1313
+ "loss": 1.5514,
1314
+ "step": 103500
1315
+ },
1316
+ {
1317
+ "epoch": 31.19,
1318
+ "learning_rate": 6.488888888888889e-05,
1319
+ "loss": 1.5496,
1320
+ "step": 104000
1321
+ },
1322
+ {
1323
+ "epoch": 31.34,
1324
+ "learning_rate": 6.466666666666666e-05,
1325
+ "loss": 1.5478,
1326
+ "step": 104500
1327
+ },
1328
+ {
1329
+ "epoch": 31.49,
1330
+ "learning_rate": 6.444444444444446e-05,
1331
+ "loss": 1.5493,
1332
+ "step": 105000
1333
+ },
1334
+ {
1335
+ "epoch": 31.64,
1336
+ "learning_rate": 6.422222222222223e-05,
1337
+ "loss": 1.5473,
1338
+ "step": 105500
1339
+ },
1340
+ {
1341
+ "epoch": 31.79,
1342
+ "learning_rate": 6.400000000000001e-05,
1343
+ "loss": 1.5489,
1344
+ "step": 106000
1345
+ },
1346
+ {
1347
+ "epoch": 31.94,
1348
+ "learning_rate": 6.377777777777778e-05,
1349
+ "loss": 1.5475,
1350
+ "step": 106500
1351
+ },
1352
+ {
1353
+ "epoch": 32.09,
1354
+ "learning_rate": 6.355555555555556e-05,
1355
+ "loss": 1.5448,
1356
+ "step": 107000
1357
+ },
1358
+ {
1359
+ "epoch": 32.24,
1360
+ "learning_rate": 6.333333333333333e-05,
1361
+ "loss": 1.546,
1362
+ "step": 107500
1363
+ },
1364
+ {
1365
+ "epoch": 32.39,
1366
+ "learning_rate": 6.311111111111112e-05,
1367
+ "loss": 1.5472,
1368
+ "step": 108000
1369
+ },
1370
+ {
1371
+ "epoch": 32.54,
1372
+ "learning_rate": 6.28888888888889e-05,
1373
+ "loss": 1.5464,
1374
+ "step": 108500
1375
+ },
1376
+ {
1377
+ "epoch": 32.69,
1378
+ "learning_rate": 6.266666666666667e-05,
1379
+ "loss": 1.5435,
1380
+ "step": 109000
1381
+ },
1382
+ {
1383
+ "epoch": 32.84,
1384
+ "learning_rate": 6.244444444444445e-05,
1385
+ "loss": 1.5436,
1386
+ "step": 109500
1387
+ },
1388
+ {
1389
+ "epoch": 32.99,
1390
+ "learning_rate": 6.222222222222222e-05,
1391
+ "loss": 1.5449,
1392
+ "step": 110000
1393
+ },
1394
+ {
1395
+ "epoch": 33.14,
1396
+ "learning_rate": 6.2e-05,
1397
+ "loss": 1.5398,
1398
+ "step": 110500
1399
+ },
1400
+ {
1401
+ "epoch": 33.29,
1402
+ "learning_rate": 6.177777777777779e-05,
1403
+ "loss": 1.5387,
1404
+ "step": 111000
1405
+ },
1406
+ {
1407
+ "epoch": 33.44,
1408
+ "learning_rate": 6.155555555555555e-05,
1409
+ "loss": 1.5404,
1410
+ "step": 111500
1411
+ },
1412
+ {
1413
+ "epoch": 33.59,
1414
+ "learning_rate": 6.133333333333334e-05,
1415
+ "loss": 1.5397,
1416
+ "step": 112000
1417
+ },
1418
+ {
1419
+ "epoch": 33.74,
1420
+ "learning_rate": 6.111111111111112e-05,
1421
+ "loss": 1.5411,
1422
+ "step": 112500
1423
+ },
1424
+ {
1425
+ "epoch": 33.74,
1426
+ "eval_loss": 1.4691314697265625,
1427
+ "eval_runtime": 356.7348,
1428
+ "eval_samples_per_second": 477.632,
1429
+ "eval_steps_per_second": 3.734,
1430
+ "step": 112500
1431
+ },
1432
+ {
1433
+ "epoch": 33.89,
1434
+ "learning_rate": 6.08888888888889e-05,
1435
+ "loss": 1.5408,
1436
+ "step": 113000
1437
+ },
1438
+ {
1439
+ "epoch": 34.04,
1440
+ "learning_rate": 6.066666666666667e-05,
1441
+ "loss": 1.5398,
1442
+ "step": 113500
1443
+ },
1444
+ {
1445
+ "epoch": 34.19,
1446
+ "learning_rate": 6.044444444444445e-05,
1447
+ "loss": 1.5373,
1448
+ "step": 114000
1449
+ },
1450
+ {
1451
+ "epoch": 34.34,
1452
+ "learning_rate": 6.0222222222222225e-05,
1453
+ "loss": 1.5347,
1454
+ "step": 114500
1455
+ },
1456
+ {
1457
+ "epoch": 34.49,
1458
+ "learning_rate": 6e-05,
1459
+ "loss": 1.536,
1460
+ "step": 115000
1461
+ },
1462
+ {
1463
+ "epoch": 34.64,
1464
+ "learning_rate": 5.977777777777778e-05,
1465
+ "loss": 1.5363,
1466
+ "step": 115500
1467
+ },
1468
+ {
1469
+ "epoch": 34.79,
1470
+ "learning_rate": 5.9555555555555554e-05,
1471
+ "loss": 1.5343,
1472
+ "step": 116000
1473
+ },
1474
+ {
1475
+ "epoch": 34.94,
1476
+ "learning_rate": 5.9333333333333343e-05,
1477
+ "loss": 1.5377,
1478
+ "step": 116500
1479
+ },
1480
+ {
1481
+ "epoch": 35.09,
1482
+ "learning_rate": 5.911111111111112e-05,
1483
+ "loss": 1.5349,
1484
+ "step": 117000
1485
+ },
1486
+ {
1487
+ "epoch": 35.24,
1488
+ "learning_rate": 5.8888888888888896e-05,
1489
+ "loss": 1.5325,
1490
+ "step": 117500
1491
+ },
1492
+ {
1493
+ "epoch": 35.39,
1494
+ "learning_rate": 5.866666666666667e-05,
1495
+ "loss": 1.5325,
1496
+ "step": 118000
1497
+ },
1498
+ {
1499
+ "epoch": 35.54,
1500
+ "learning_rate": 5.844444444444445e-05,
1501
+ "loss": 1.5312,
1502
+ "step": 118500
1503
+ },
1504
+ {
1505
+ "epoch": 35.69,
1506
+ "learning_rate": 5.8222222222222224e-05,
1507
+ "loss": 1.5342,
1508
+ "step": 119000
1509
+ },
1510
+ {
1511
+ "epoch": 35.84,
1512
+ "learning_rate": 5.8e-05,
1513
+ "loss": 1.5304,
1514
+ "step": 119500
1515
+ },
1516
+ {
1517
+ "epoch": 35.99,
1518
+ "learning_rate": 5.7777777777777776e-05,
1519
+ "loss": 1.5312,
1520
+ "step": 120000
1521
+ },
1522
+ {
1523
+ "epoch": 36.14,
1524
+ "learning_rate": 5.755555555555556e-05,
1525
+ "loss": 1.5294,
1526
+ "step": 120500
1527
+ },
1528
+ {
1529
+ "epoch": 36.29,
1530
+ "learning_rate": 5.7333333333333336e-05,
1531
+ "loss": 1.5301,
1532
+ "step": 121000
1533
+ },
1534
+ {
1535
+ "epoch": 36.44,
1536
+ "learning_rate": 5.711111111111112e-05,
1537
+ "loss": 1.5298,
1538
+ "step": 121500
1539
+ },
1540
+ {
1541
+ "epoch": 36.59,
1542
+ "learning_rate": 5.6888888888888895e-05,
1543
+ "loss": 1.5284,
1544
+ "step": 122000
1545
+ },
1546
+ {
1547
+ "epoch": 36.74,
1548
+ "learning_rate": 5.666666666666667e-05,
1549
+ "loss": 1.5303,
1550
+ "step": 122500
1551
+ },
1552
+ {
1553
+ "epoch": 36.89,
1554
+ "learning_rate": 5.644444444444445e-05,
1555
+ "loss": 1.5285,
1556
+ "step": 123000
1557
+ },
1558
+ {
1559
+ "epoch": 37.04,
1560
+ "learning_rate": 5.622222222222222e-05,
1561
+ "loss": 1.527,
1562
+ "step": 123500
1563
+ },
1564
+ {
1565
+ "epoch": 37.19,
1566
+ "learning_rate": 5.6000000000000006e-05,
1567
+ "loss": 1.524,
1568
+ "step": 124000
1569
+ },
1570
+ {
1571
+ "epoch": 37.34,
1572
+ "learning_rate": 5.577777777777778e-05,
1573
+ "loss": 1.5259,
1574
+ "step": 124500
1575
+ },
1576
+ {
1577
+ "epoch": 37.49,
1578
+ "learning_rate": 5.555555555555556e-05,
1579
+ "loss": 1.5258,
1580
+ "step": 125000
1581
+ },
1582
+ {
1583
+ "epoch": 37.49,
1584
+ "eval_loss": 1.4563013315200806,
1585
+ "eval_runtime": 356.8442,
1586
+ "eval_samples_per_second": 477.486,
1587
+ "eval_steps_per_second": 3.733,
1588
+ "step": 125000
1589
+ },
1590
+ {
1591
+ "epoch": 37.64,
1592
+ "learning_rate": 5.5333333333333334e-05,
1593
+ "loss": 1.5242,
1594
+ "step": 125500
1595
+ },
1596
+ {
1597
+ "epoch": 37.79,
1598
+ "learning_rate": 5.511111111111111e-05,
1599
+ "loss": 1.5262,
1600
+ "step": 126000
1601
+ },
1602
+ {
1603
+ "epoch": 37.94,
1604
+ "learning_rate": 5.488888888888889e-05,
1605
+ "loss": 1.5257,
1606
+ "step": 126500
1607
+ },
1608
+ {
1609
+ "epoch": 38.09,
1610
+ "learning_rate": 5.466666666666666e-05,
1611
+ "loss": 1.5231,
1612
+ "step": 127000
1613
+ },
1614
+ {
1615
+ "epoch": 38.24,
1616
+ "learning_rate": 5.4444444444444446e-05,
1617
+ "loss": 1.5204,
1618
+ "step": 127500
1619
+ },
1620
+ {
1621
+ "epoch": 38.39,
1622
+ "learning_rate": 5.422222222222223e-05,
1623
+ "loss": 1.5227,
1624
+ "step": 128000
1625
+ },
1626
+ {
1627
+ "epoch": 38.54,
1628
+ "learning_rate": 5.4000000000000005e-05,
1629
+ "loss": 1.5226,
1630
+ "step": 128500
1631
+ },
1632
+ {
1633
+ "epoch": 38.69,
1634
+ "learning_rate": 5.377777777777778e-05,
1635
+ "loss": 1.5212,
1636
+ "step": 129000
1637
+ },
1638
+ {
1639
+ "epoch": 38.84,
1640
+ "learning_rate": 5.355555555555556e-05,
1641
+ "loss": 1.525,
1642
+ "step": 129500
1643
+ },
1644
+ {
1645
+ "epoch": 38.99,
1646
+ "learning_rate": 5.333333333333333e-05,
1647
+ "loss": 1.5222,
1648
+ "step": 130000
1649
+ },
1650
+ {
1651
+ "epoch": 39.14,
1652
+ "learning_rate": 5.311111111111111e-05,
1653
+ "loss": 1.5176,
1654
+ "step": 130500
1655
+ },
1656
+ {
1657
+ "epoch": 39.29,
1658
+ "learning_rate": 5.2888888888888885e-05,
1659
+ "loss": 1.5166,
1660
+ "step": 131000
1661
+ },
1662
+ {
1663
+ "epoch": 39.44,
1664
+ "learning_rate": 5.266666666666666e-05,
1665
+ "loss": 1.5186,
1666
+ "step": 131500
1667
+ },
1668
+ {
1669
+ "epoch": 39.59,
1670
+ "learning_rate": 5.244444444444445e-05,
1671
+ "loss": 1.5176,
1672
+ "step": 132000
1673
+ },
1674
+ {
1675
+ "epoch": 39.74,
1676
+ "learning_rate": 5.222222222222223e-05,
1677
+ "loss": 1.5199,
1678
+ "step": 132500
1679
+ },
1680
+ {
1681
+ "epoch": 39.89,
1682
+ "learning_rate": 5.2000000000000004e-05,
1683
+ "loss": 1.5188,
1684
+ "step": 133000
1685
+ },
1686
+ {
1687
+ "epoch": 40.04,
1688
+ "learning_rate": 5.177777777777778e-05,
1689
+ "loss": 1.5177,
1690
+ "step": 133500
1691
+ },
1692
+ {
1693
+ "epoch": 40.19,
1694
+ "learning_rate": 5.1555555555555556e-05,
1695
+ "loss": 1.5147,
1696
+ "step": 134000
1697
+ },
1698
+ {
1699
+ "epoch": 40.34,
1700
+ "learning_rate": 5.133333333333333e-05,
1701
+ "loss": 1.5163,
1702
+ "step": 134500
1703
+ },
1704
+ {
1705
+ "epoch": 40.49,
1706
+ "learning_rate": 5.111111111111111e-05,
1707
+ "loss": 1.5149,
1708
+ "step": 135000
1709
+ },
1710
+ {
1711
+ "epoch": 40.64,
1712
+ "learning_rate": 5.0888888888888884e-05,
1713
+ "loss": 1.5142,
1714
+ "step": 135500
1715
+ },
1716
+ {
1717
+ "epoch": 40.79,
1718
+ "learning_rate": 5.0666666666666674e-05,
1719
+ "loss": 1.5133,
1720
+ "step": 136000
1721
+ },
1722
+ {
1723
+ "epoch": 40.94,
1724
+ "learning_rate": 5.044444444444445e-05,
1725
+ "loss": 1.5135,
1726
+ "step": 136500
1727
+ },
1728
+ {
1729
+ "epoch": 41.09,
1730
+ "learning_rate": 5.0222222222222226e-05,
1731
+ "loss": 1.5129,
1732
+ "step": 137000
1733
+ },
1734
+ {
1735
+ "epoch": 41.24,
1736
+ "learning_rate": 5e-05,
1737
+ "loss": 1.5114,
1738
+ "step": 137500
1739
+ },
1740
+ {
1741
+ "epoch": 41.24,
1742
+ "eval_loss": 1.4439390897750854,
1743
+ "eval_runtime": 356.5866,
1744
+ "eval_samples_per_second": 477.831,
1745
+ "eval_steps_per_second": 3.735,
1746
+ "step": 137500
1747
+ },
1748
+ {
1749
+ "epoch": 41.39,
1750
+ "learning_rate": 4.977777777777778e-05,
1751
+ "loss": 1.5106,
1752
+ "step": 138000
1753
+ },
1754
+ {
1755
+ "epoch": 41.54,
1756
+ "learning_rate": 4.955555555555556e-05,
1757
+ "loss": 1.5115,
1758
+ "step": 138500
1759
+ },
1760
+ {
1761
+ "epoch": 41.69,
1762
+ "learning_rate": 4.933333333333334e-05,
1763
+ "loss": 1.5114,
1764
+ "step": 139000
1765
+ },
1766
+ {
1767
+ "epoch": 41.84,
1768
+ "learning_rate": 4.9111111111111114e-05,
1769
+ "loss": 1.5111,
1770
+ "step": 139500
1771
+ },
1772
+ {
1773
+ "epoch": 41.99,
1774
+ "learning_rate": 4.888888888888889e-05,
1775
+ "loss": 1.5118,
1776
+ "step": 140000
1777
+ },
1778
+ {
1779
+ "epoch": 42.14,
1780
+ "learning_rate": 4.866666666666667e-05,
1781
+ "loss": 1.5073,
1782
+ "step": 140500
1783
+ },
1784
+ {
1785
+ "epoch": 42.29,
1786
+ "learning_rate": 4.844444444444445e-05,
1787
+ "loss": 1.5102,
1788
+ "step": 141000
1789
+ },
1790
+ {
1791
+ "epoch": 42.44,
1792
+ "learning_rate": 4.8222222222222225e-05,
1793
+ "loss": 1.508,
1794
+ "step": 141500
1795
+ },
1796
+ {
1797
+ "epoch": 42.59,
1798
+ "learning_rate": 4.8e-05,
1799
+ "loss": 1.5081,
1800
+ "step": 142000
1801
+ },
1802
+ {
1803
+ "epoch": 42.74,
1804
+ "learning_rate": 4.7777777777777784e-05,
1805
+ "loss": 1.5086,
1806
+ "step": 142500
1807
+ },
1808
+ {
1809
+ "epoch": 42.89,
1810
+ "learning_rate": 4.755555555555556e-05,
1811
+ "loss": 1.5093,
1812
+ "step": 143000
1813
+ },
1814
+ {
1815
+ "epoch": 43.04,
1816
+ "learning_rate": 4.7333333333333336e-05,
1817
+ "loss": 1.5064,
1818
+ "step": 143500
1819
+ },
1820
+ {
1821
+ "epoch": 43.19,
1822
+ "learning_rate": 4.711111111111111e-05,
1823
+ "loss": 1.5079,
1824
+ "step": 144000
1825
+ },
1826
+ {
1827
+ "epoch": 43.34,
1828
+ "learning_rate": 4.6888888888888895e-05,
1829
+ "loss": 1.5058,
1830
+ "step": 144500
1831
+ },
1832
+ {
1833
+ "epoch": 43.49,
1834
+ "learning_rate": 4.666666666666667e-05,
1835
+ "loss": 1.5073,
1836
+ "step": 145000
1837
+ },
1838
+ {
1839
+ "epoch": 43.64,
1840
+ "learning_rate": 4.644444444444445e-05,
1841
+ "loss": 1.5055,
1842
+ "step": 145500
1843
+ },
1844
+ {
1845
+ "epoch": 43.79,
1846
+ "learning_rate": 4.6222222222222224e-05,
1847
+ "loss": 1.5056,
1848
+ "step": 146000
1849
+ },
1850
+ {
1851
+ "epoch": 43.94,
1852
+ "learning_rate": 4.600000000000001e-05,
1853
+ "loss": 1.5069,
1854
+ "step": 146500
1855
+ },
1856
+ {
1857
+ "epoch": 44.09,
1858
+ "learning_rate": 4.577777777777778e-05,
1859
+ "loss": 1.5028,
1860
+ "step": 147000
1861
+ },
1862
+ {
1863
+ "epoch": 44.24,
1864
+ "learning_rate": 4.555555555555556e-05,
1865
+ "loss": 1.502,
1866
+ "step": 147500
1867
+ },
1868
+ {
1869
+ "epoch": 44.39,
1870
+ "learning_rate": 4.5333333333333335e-05,
1871
+ "loss": 1.5019,
1872
+ "step": 148000
1873
+ },
1874
+ {
1875
+ "epoch": 44.54,
1876
+ "learning_rate": 4.511111111111112e-05,
1877
+ "loss": 1.5024,
1878
+ "step": 148500
1879
+ },
1880
+ {
1881
+ "epoch": 44.69,
1882
+ "learning_rate": 4.4888888888888894e-05,
1883
+ "loss": 1.503,
1884
+ "step": 149000
1885
+ },
1886
+ {
1887
+ "epoch": 44.84,
1888
+ "learning_rate": 4.466666666666667e-05,
1889
+ "loss": 1.5041,
1890
+ "step": 149500
1891
+ },
1892
+ {
1893
+ "epoch": 44.99,
1894
+ "learning_rate": 4.4444444444444447e-05,
1895
+ "loss": 1.5015,
1896
+ "step": 150000
1897
+ },
1898
+ {
1899
+ "epoch": 44.99,
1900
+ "eval_loss": 1.436716914176941,
1901
+ "eval_runtime": 356.4605,
1902
+ "eval_samples_per_second": 478.0,
1903
+ "eval_steps_per_second": 3.737,
1904
+ "step": 150000
1905
+ },
1906
+ {
1907
+ "epoch": 45.14,
1908
+ "learning_rate": 4.422222222222222e-05,
1909
+ "loss": 1.4997,
1910
+ "step": 150500
1911
+ },
1912
+ {
1913
+ "epoch": 45.29,
1914
+ "learning_rate": 4.4000000000000006e-05,
1915
+ "loss": 1.4993,
1916
+ "step": 151000
1917
+ },
1918
+ {
1919
+ "epoch": 45.44,
1920
+ "learning_rate": 4.377777777777778e-05,
1921
+ "loss": 1.4993,
1922
+ "step": 151500
1923
+ },
1924
+ {
1925
+ "epoch": 45.59,
1926
+ "learning_rate": 4.355555555555556e-05,
1927
+ "loss": 1.5004,
1928
+ "step": 152000
1929
+ },
1930
+ {
1931
+ "epoch": 45.74,
1932
+ "learning_rate": 4.3333333333333334e-05,
1933
+ "loss": 1.5004,
1934
+ "step": 152500
1935
+ },
1936
+ {
1937
+ "epoch": 45.89,
1938
+ "learning_rate": 4.311111111111111e-05,
1939
+ "loss": 1.4977,
1940
+ "step": 153000
1941
+ },
1942
+ {
1943
+ "epoch": 46.04,
1944
+ "learning_rate": 4.2888888888888886e-05,
1945
+ "loss": 1.497,
1946
+ "step": 153500
1947
+ },
1948
+ {
1949
+ "epoch": 46.19,
1950
+ "learning_rate": 4.266666666666667e-05,
1951
+ "loss": 1.4996,
1952
+ "step": 154000
1953
+ },
1954
+ {
1955
+ "epoch": 46.34,
1956
+ "learning_rate": 4.2444444444444445e-05,
1957
+ "loss": 1.4968,
1958
+ "step": 154500
1959
+ },
1960
+ {
1961
+ "epoch": 46.49,
1962
+ "learning_rate": 4.222222222222222e-05,
1963
+ "loss": 1.4967,
1964
+ "step": 155000
1965
+ },
1966
+ {
1967
+ "epoch": 46.64,
1968
+ "learning_rate": 4.2e-05,
1969
+ "loss": 1.4952,
1970
+ "step": 155500
1971
+ },
1972
+ {
1973
+ "epoch": 46.79,
1974
+ "learning_rate": 4.177777777777778e-05,
1975
+ "loss": 1.4965,
1976
+ "step": 156000
1977
+ },
1978
+ {
1979
+ "epoch": 46.94,
1980
+ "learning_rate": 4.155555555555556e-05,
1981
+ "loss": 1.4986,
1982
+ "step": 156500
1983
+ },
1984
+ {
1985
+ "epoch": 47.09,
1986
+ "learning_rate": 4.133333333333333e-05,
1987
+ "loss": 1.495,
1988
+ "step": 157000
1989
+ },
1990
+ {
1991
+ "epoch": 47.24,
1992
+ "learning_rate": 4.111111111111111e-05,
1993
+ "loss": 1.4936,
1994
+ "step": 157500
1995
+ },
1996
+ {
1997
+ "epoch": 47.39,
1998
+ "learning_rate": 4.088888888888889e-05,
1999
+ "loss": 1.4948,
2000
+ "step": 158000
2001
+ },
2002
+ {
2003
+ "epoch": 47.54,
2004
+ "learning_rate": 4.066666666666667e-05,
2005
+ "loss": 1.4933,
2006
+ "step": 158500
2007
+ },
2008
+ {
2009
+ "epoch": 47.69,
2010
+ "learning_rate": 4.0444444444444444e-05,
2011
+ "loss": 1.493,
2012
+ "step": 159000
2013
+ },
2014
+ {
2015
+ "epoch": 47.84,
2016
+ "learning_rate": 4.022222222222222e-05,
2017
+ "loss": 1.4944,
2018
+ "step": 159500
2019
+ },
2020
+ {
2021
+ "epoch": 47.99,
2022
+ "learning_rate": 4e-05,
2023
+ "loss": 1.4968,
2024
+ "step": 160000
2025
+ },
2026
+ {
2027
+ "epoch": 48.14,
2028
+ "learning_rate": 3.977777777777778e-05,
2029
+ "loss": 1.491,
2030
+ "step": 160500
2031
+ },
2032
+ {
2033
+ "epoch": 48.29,
2034
+ "learning_rate": 3.9555555555555556e-05,
2035
+ "loss": 1.4908,
2036
+ "step": 161000
2037
+ },
2038
+ {
2039
+ "epoch": 48.44,
2040
+ "learning_rate": 3.933333333333333e-05,
2041
+ "loss": 1.4916,
2042
+ "step": 161500
2043
+ },
2044
+ {
2045
+ "epoch": 48.59,
2046
+ "learning_rate": 3.9111111111111115e-05,
2047
+ "loss": 1.4937,
2048
+ "step": 162000
2049
+ },
2050
+ {
2051
+ "epoch": 48.74,
2052
+ "learning_rate": 3.888888888888889e-05,
2053
+ "loss": 1.4923,
2054
+ "step": 162500
2055
+ },
2056
+ {
2057
+ "epoch": 48.74,
2058
+ "eval_loss": 1.4284732341766357,
2059
+ "eval_runtime": 356.8446,
2060
+ "eval_samples_per_second": 477.485,
2061
+ "eval_steps_per_second": 3.733,
2062
+ "step": 162500
2063
+ },
2064
+ {
2065
+ "epoch": 48.89,
2066
+ "learning_rate": 3.866666666666667e-05,
2067
+ "loss": 1.4927,
2068
+ "step": 163000
2069
+ },
2070
+ {
2071
+ "epoch": 49.04,
2072
+ "learning_rate": 3.844444444444444e-05,
2073
+ "loss": 1.4895,
2074
+ "step": 163500
2075
+ },
2076
+ {
2077
+ "epoch": 49.19,
2078
+ "learning_rate": 3.8222222222222226e-05,
2079
+ "loss": 1.4884,
2080
+ "step": 164000
2081
+ },
2082
+ {
2083
+ "epoch": 49.34,
2084
+ "learning_rate": 3.8e-05,
2085
+ "loss": 1.4897,
2086
+ "step": 164500
2087
+ },
2088
+ {
2089
+ "epoch": 49.49,
2090
+ "learning_rate": 3.777777777777778e-05,
2091
+ "loss": 1.4909,
2092
+ "step": 165000
2093
+ },
2094
+ {
2095
+ "epoch": 49.64,
2096
+ "learning_rate": 3.7555555555555554e-05,
2097
+ "loss": 1.4906,
2098
+ "step": 165500
2099
+ },
2100
+ {
2101
+ "epoch": 49.79,
2102
+ "learning_rate": 3.733333333333334e-05,
2103
+ "loss": 1.4859,
2104
+ "step": 166000
2105
+ },
2106
+ {
2107
+ "epoch": 49.94,
2108
+ "learning_rate": 3.7111111111111113e-05,
2109
+ "loss": 1.4898,
2110
+ "step": 166500
2111
+ },
2112
+ {
2113
+ "epoch": 50.09,
2114
+ "learning_rate": 3.688888888888889e-05,
2115
+ "loss": 1.4881,
2116
+ "step": 167000
2117
+ },
2118
+ {
2119
+ "epoch": 50.24,
2120
+ "learning_rate": 3.6666666666666666e-05,
2121
+ "loss": 1.4886,
2122
+ "step": 167500
2123
+ },
2124
+ {
2125
+ "epoch": 50.39,
2126
+ "learning_rate": 3.644444444444445e-05,
2127
+ "loss": 1.4875,
2128
+ "step": 168000
2129
+ },
2130
+ {
2131
+ "epoch": 50.54,
2132
+ "learning_rate": 3.6222222222222225e-05,
2133
+ "loss": 1.4879,
2134
+ "step": 168500
2135
+ },
2136
+ {
2137
+ "epoch": 50.69,
2138
+ "learning_rate": 3.6e-05,
2139
+ "loss": 1.4867,
2140
+ "step": 169000
2141
+ },
2142
+ {
2143
+ "epoch": 50.84,
2144
+ "learning_rate": 3.577777777777778e-05,
2145
+ "loss": 1.4866,
2146
+ "step": 169500
2147
+ },
2148
+ {
2149
+ "epoch": 50.99,
2150
+ "learning_rate": 3.555555555555556e-05,
2151
+ "loss": 1.4862,
2152
+ "step": 170000
2153
+ },
2154
+ {
2155
+ "epoch": 51.14,
2156
+ "learning_rate": 3.5333333333333336e-05,
2157
+ "loss": 1.4839,
2158
+ "step": 170500
2159
+ },
2160
+ {
2161
+ "epoch": 51.29,
2162
+ "learning_rate": 3.511111111111111e-05,
2163
+ "loss": 1.4848,
2164
+ "step": 171000
2165
+ },
2166
+ {
2167
+ "epoch": 51.44,
2168
+ "learning_rate": 3.4888888888888895e-05,
2169
+ "loss": 1.4861,
2170
+ "step": 171500
2171
+ },
2172
+ {
2173
+ "epoch": 51.59,
2174
+ "learning_rate": 3.466666666666667e-05,
2175
+ "loss": 1.4846,
2176
+ "step": 172000
2177
+ },
2178
+ {
2179
+ "epoch": 51.74,
2180
+ "learning_rate": 3.444444444444445e-05,
2181
+ "loss": 1.4853,
2182
+ "step": 172500
2183
+ },
2184
+ {
2185
+ "epoch": 51.89,
2186
+ "learning_rate": 3.4222222222222224e-05,
2187
+ "loss": 1.4852,
2188
+ "step": 173000
2189
+ },
2190
+ {
2191
+ "epoch": 52.04,
2192
+ "learning_rate": 3.4000000000000007e-05,
2193
+ "loss": 1.4826,
2194
+ "step": 173500
2195
+ },
2196
+ {
2197
+ "epoch": 52.19,
2198
+ "learning_rate": 3.377777777777778e-05,
2199
+ "loss": 1.4829,
2200
+ "step": 174000
2201
+ },
2202
+ {
2203
+ "epoch": 52.34,
2204
+ "learning_rate": 3.355555555555556e-05,
2205
+ "loss": 1.4815,
2206
+ "step": 174500
2207
+ },
2208
+ {
2209
+ "epoch": 52.49,
2210
+ "learning_rate": 3.3333333333333335e-05,
2211
+ "loss": 1.4809,
2212
+ "step": 175000
2213
+ },
2214
+ {
2215
+ "epoch": 52.49,
2216
+ "eval_loss": 1.4197227954864502,
2217
+ "eval_runtime": 356.5538,
2218
+ "eval_samples_per_second": 477.875,
2219
+ "eval_steps_per_second": 3.736,
2220
+ "step": 175000
2221
+ },
2222
+ {
2223
+ "epoch": 52.64,
2224
+ "learning_rate": 3.311111111111112e-05,
2225
+ "loss": 1.4826,
2226
+ "step": 175500
2227
+ },
2228
+ {
2229
+ "epoch": 52.79,
2230
+ "learning_rate": 3.2888888888888894e-05,
2231
+ "loss": 1.4834,
2232
+ "step": 176000
2233
+ },
2234
+ {
2235
+ "epoch": 52.94,
2236
+ "learning_rate": 3.266666666666667e-05,
2237
+ "loss": 1.4816,
2238
+ "step": 176500
2239
+ },
2240
+ {
2241
+ "epoch": 53.09,
2242
+ "learning_rate": 3.2444444444444446e-05,
2243
+ "loss": 1.4801,
2244
+ "step": 177000
2245
+ },
2246
+ {
2247
+ "epoch": 53.24,
2248
+ "learning_rate": 3.222222222222223e-05,
2249
+ "loss": 1.4807,
2250
+ "step": 177500
2251
+ },
2252
+ {
2253
+ "epoch": 53.39,
2254
+ "learning_rate": 3.2000000000000005e-05,
2255
+ "loss": 1.4798,
2256
+ "step": 178000
2257
+ },
2258
+ {
2259
+ "epoch": 53.54,
2260
+ "learning_rate": 3.177777777777778e-05,
2261
+ "loss": 1.4792,
2262
+ "step": 178500
2263
+ },
2264
+ {
2265
+ "epoch": 53.69,
2266
+ "learning_rate": 3.155555555555556e-05,
2267
+ "loss": 1.4795,
2268
+ "step": 179000
2269
+ },
2270
+ {
2271
+ "epoch": 53.84,
2272
+ "learning_rate": 3.1333333333333334e-05,
2273
+ "loss": 1.4796,
2274
+ "step": 179500
2275
+ },
2276
+ {
2277
+ "epoch": 53.99,
2278
+ "learning_rate": 3.111111111111111e-05,
2279
+ "loss": 1.4815,
2280
+ "step": 180000
2281
+ },
2282
+ {
2283
+ "epoch": 54.14,
2284
+ "learning_rate": 3.088888888888889e-05,
2285
+ "loss": 1.4782,
2286
+ "step": 180500
2287
+ },
2288
+ {
2289
+ "epoch": 54.29,
2290
+ "learning_rate": 3.066666666666667e-05,
2291
+ "loss": 1.4784,
2292
+ "step": 181000
2293
+ },
2294
+ {
2295
+ "epoch": 54.44,
2296
+ "learning_rate": 3.044444444444445e-05,
2297
+ "loss": 1.478,
2298
+ "step": 181500
2299
+ },
2300
+ {
2301
+ "epoch": 54.59,
2302
+ "learning_rate": 3.0222222222222225e-05,
2303
+ "loss": 1.4767,
2304
+ "step": 182000
2305
+ },
2306
+ {
2307
+ "epoch": 54.74,
2308
+ "learning_rate": 3e-05,
2309
+ "loss": 1.4771,
2310
+ "step": 182500
2311
+ },
2312
+ {
2313
+ "epoch": 54.89,
2314
+ "learning_rate": 2.9777777777777777e-05,
2315
+ "loss": 1.4781,
2316
+ "step": 183000
2317
+ },
2318
+ {
2319
+ "epoch": 55.04,
2320
+ "learning_rate": 2.955555555555556e-05,
2321
+ "loss": 1.477,
2322
+ "step": 183500
2323
+ },
2324
+ {
2325
+ "epoch": 55.19,
2326
+ "learning_rate": 2.9333333333333336e-05,
2327
+ "loss": 1.4764,
2328
+ "step": 184000
2329
+ },
2330
+ {
2331
+ "epoch": 55.34,
2332
+ "learning_rate": 2.9111111111111112e-05,
2333
+ "loss": 1.4765,
2334
+ "step": 184500
2335
+ },
2336
+ {
2337
+ "epoch": 55.49,
2338
+ "learning_rate": 2.8888888888888888e-05,
2339
+ "loss": 1.4765,
2340
+ "step": 185000
2341
+ },
2342
+ {
2343
+ "epoch": 55.64,
2344
+ "learning_rate": 2.8666666666666668e-05,
2345
+ "loss": 1.4749,
2346
+ "step": 185500
2347
+ },
2348
+ {
2349
+ "epoch": 55.79,
2350
+ "learning_rate": 2.8444444444444447e-05,
2351
+ "loss": 1.4762,
2352
+ "step": 186000
2353
+ },
2354
+ {
2355
+ "epoch": 55.94,
2356
+ "learning_rate": 2.8222222222222223e-05,
2357
+ "loss": 1.4754,
2358
+ "step": 186500
2359
+ },
2360
+ {
2361
+ "epoch": 56.09,
2362
+ "learning_rate": 2.8000000000000003e-05,
2363
+ "loss": 1.4719,
2364
+ "step": 187000
2365
+ },
2366
+ {
2367
+ "epoch": 56.24,
2368
+ "learning_rate": 2.777777777777778e-05,
2369
+ "loss": 1.473,
2370
+ "step": 187500
2371
+ },
2372
+ {
2373
+ "epoch": 56.24,
2374
+ "eval_loss": 1.4130820035934448,
2375
+ "eval_runtime": 356.901,
2376
+ "eval_samples_per_second": 477.41,
2377
+ "eval_steps_per_second": 3.732,
2378
+ "step": 187500
2379
+ },
2380
+ {
2381
+ "epoch": 56.39,
2382
+ "learning_rate": 2.7555555555555555e-05,
2383
+ "loss": 1.4724,
2384
+ "step": 188000
2385
+ },
2386
+ {
2387
+ "epoch": 56.54,
2388
+ "learning_rate": 2.733333333333333e-05,
2389
+ "loss": 1.4697,
2390
+ "step": 188500
2391
+ },
2392
+ {
2393
+ "epoch": 56.69,
2394
+ "learning_rate": 2.7111111111111114e-05,
2395
+ "loss": 1.4728,
2396
+ "step": 189000
2397
+ },
2398
+ {
2399
+ "epoch": 56.84,
2400
+ "learning_rate": 2.688888888888889e-05,
2401
+ "loss": 1.4738,
2402
+ "step": 189500
2403
+ },
2404
+ {
2405
+ "epoch": 56.99,
2406
+ "learning_rate": 2.6666666666666667e-05,
2407
+ "loss": 1.4726,
2408
+ "step": 190000
2409
+ },
2410
+ {
2411
+ "epoch": 57.14,
2412
+ "learning_rate": 2.6444444444444443e-05,
2413
+ "loss": 1.4712,
2414
+ "step": 190500
2415
+ },
2416
+ {
2417
+ "epoch": 57.29,
2418
+ "learning_rate": 2.6222222222222226e-05,
2419
+ "loss": 1.47,
2420
+ "step": 191000
2421
+ },
2422
+ {
2423
+ "epoch": 57.44,
2424
+ "learning_rate": 2.6000000000000002e-05,
2425
+ "loss": 1.4709,
2426
+ "step": 191500
2427
+ },
2428
+ {
2429
+ "epoch": 57.59,
2430
+ "learning_rate": 2.5777777777777778e-05,
2431
+ "loss": 1.469,
2432
+ "step": 192000
2433
+ },
2434
+ {
2435
+ "epoch": 57.74,
2436
+ "learning_rate": 2.5555555555555554e-05,
2437
+ "loss": 1.472,
2438
+ "step": 192500
2439
+ },
2440
+ {
2441
+ "epoch": 57.89,
2442
+ "learning_rate": 2.5333333333333337e-05,
2443
+ "loss": 1.473,
2444
+ "step": 193000
2445
+ },
2446
+ {
2447
+ "epoch": 58.04,
2448
+ "learning_rate": 2.5111111111111113e-05,
2449
+ "loss": 1.4681,
2450
+ "step": 193500
2451
+ },
2452
+ {
2453
+ "epoch": 58.19,
2454
+ "learning_rate": 2.488888888888889e-05,
2455
+ "loss": 1.4679,
2456
+ "step": 194000
2457
+ },
2458
+ {
2459
+ "epoch": 58.34,
2460
+ "learning_rate": 2.466666666666667e-05,
2461
+ "loss": 1.47,
2462
+ "step": 194500
2463
+ },
2464
+ {
2465
+ "epoch": 58.49,
2466
+ "learning_rate": 2.4444444444444445e-05,
2467
+ "loss": 1.4668,
2468
+ "step": 195000
2469
+ },
2470
+ {
2471
+ "epoch": 58.64,
2472
+ "learning_rate": 2.4222222222222224e-05,
2473
+ "loss": 1.4678,
2474
+ "step": 195500
2475
+ },
2476
+ {
2477
+ "epoch": 58.79,
2478
+ "learning_rate": 2.4e-05,
2479
+ "loss": 1.4681,
2480
+ "step": 196000
2481
+ },
2482
+ {
2483
+ "epoch": 58.94,
2484
+ "learning_rate": 2.377777777777778e-05,
2485
+ "loss": 1.4694,
2486
+ "step": 196500
2487
+ },
2488
+ {
2489
+ "epoch": 59.09,
2490
+ "learning_rate": 2.3555555555555556e-05,
2491
+ "loss": 1.4651,
2492
+ "step": 197000
2493
+ },
2494
+ {
2495
+ "epoch": 59.24,
2496
+ "learning_rate": 2.3333333333333336e-05,
2497
+ "loss": 1.4694,
2498
+ "step": 197500
2499
+ },
2500
+ {
2501
+ "epoch": 59.39,
2502
+ "learning_rate": 2.3111111111111112e-05,
2503
+ "loss": 1.4692,
2504
+ "step": 198000
2505
+ },
2506
+ {
2507
+ "epoch": 59.54,
2508
+ "learning_rate": 2.288888888888889e-05,
2509
+ "loss": 1.4675,
2510
+ "step": 198500
2511
+ },
2512
+ {
2513
+ "epoch": 59.69,
2514
+ "learning_rate": 2.2666666666666668e-05,
2515
+ "loss": 1.4653,
2516
+ "step": 199000
2517
+ },
2518
+ {
2519
+ "epoch": 59.84,
2520
+ "learning_rate": 2.2444444444444447e-05,
2521
+ "loss": 1.465,
2522
+ "step": 199500
2523
+ },
2524
+ {
2525
+ "epoch": 59.99,
2526
+ "learning_rate": 2.2222222222222223e-05,
2527
+ "loss": 1.4695,
2528
+ "step": 200000
2529
+ },
2530
+ {
2531
+ "epoch": 59.99,
2532
+ "eval_loss": 1.4062610864639282,
2533
+ "eval_runtime": 356.555,
2534
+ "eval_samples_per_second": 477.873,
2535
+ "eval_steps_per_second": 3.736,
2536
+ "step": 200000
2537
+ },
2538
+ {
2539
+ "epoch": 60.14,
2540
+ "learning_rate": 2.2000000000000003e-05,
2541
+ "loss": 1.4618,
2542
+ "step": 200500
2543
+ },
2544
+ {
2545
+ "epoch": 60.29,
2546
+ "learning_rate": 2.177777777777778e-05,
2547
+ "loss": 1.467,
2548
+ "step": 201000
2549
+ },
2550
+ {
2551
+ "epoch": 60.44,
2552
+ "learning_rate": 2.1555555555555555e-05,
2553
+ "loss": 1.467,
2554
+ "step": 201500
2555
+ },
2556
+ {
2557
+ "epoch": 60.59,
2558
+ "learning_rate": 2.1333333333333335e-05,
2559
+ "loss": 1.4646,
2560
+ "step": 202000
2561
+ },
2562
+ {
2563
+ "epoch": 60.74,
2564
+ "learning_rate": 2.111111111111111e-05,
2565
+ "loss": 1.464,
2566
+ "step": 202500
2567
+ },
2568
+ {
2569
+ "epoch": 60.89,
2570
+ "learning_rate": 2.088888888888889e-05,
2571
+ "loss": 1.4644,
2572
+ "step": 203000
2573
+ },
2574
+ {
2575
+ "epoch": 61.04,
2576
+ "learning_rate": 2.0666666666666666e-05,
2577
+ "loss": 1.4632,
2578
+ "step": 203500
2579
+ },
2580
+ {
2581
+ "epoch": 61.19,
2582
+ "learning_rate": 2.0444444444444446e-05,
2583
+ "loss": 1.4625,
2584
+ "step": 204000
2585
+ },
2586
+ {
2587
+ "epoch": 61.34,
2588
+ "learning_rate": 2.0222222222222222e-05,
2589
+ "loss": 1.4625,
2590
+ "step": 204500
2591
+ },
2592
+ {
2593
+ "epoch": 61.49,
2594
+ "learning_rate": 2e-05,
2595
+ "loss": 1.4634,
2596
+ "step": 205000
2597
+ },
2598
+ {
2599
+ "epoch": 61.64,
2600
+ "learning_rate": 1.9777777777777778e-05,
2601
+ "loss": 1.4651,
2602
+ "step": 205500
2603
+ },
2604
+ {
2605
+ "epoch": 61.79,
2606
+ "learning_rate": 1.9555555555555557e-05,
2607
+ "loss": 1.4617,
2608
+ "step": 206000
2609
+ },
2610
+ {
2611
+ "epoch": 61.94,
2612
+ "learning_rate": 1.9333333333333333e-05,
2613
+ "loss": 1.4633,
2614
+ "step": 206500
2615
+ },
2616
+ {
2617
+ "epoch": 62.09,
2618
+ "learning_rate": 1.9111111111111113e-05,
2619
+ "loss": 1.4604,
2620
+ "step": 207000
2621
+ },
2622
+ {
2623
+ "epoch": 62.24,
2624
+ "learning_rate": 1.888888888888889e-05,
2625
+ "loss": 1.4589,
2626
+ "step": 207500
2627
+ },
2628
+ {
2629
+ "epoch": 62.39,
2630
+ "learning_rate": 1.866666666666667e-05,
2631
+ "loss": 1.4619,
2632
+ "step": 208000
2633
+ },
2634
+ {
2635
+ "epoch": 62.54,
2636
+ "learning_rate": 1.8444444444444445e-05,
2637
+ "loss": 1.4625,
2638
+ "step": 208500
2639
+ },
2640
+ {
2641
+ "epoch": 62.69,
2642
+ "learning_rate": 1.8222222222222224e-05,
2643
+ "loss": 1.4613,
2644
+ "step": 209000
2645
+ },
2646
+ {
2647
+ "epoch": 62.84,
2648
+ "learning_rate": 1.8e-05,
2649
+ "loss": 1.4587,
2650
+ "step": 209500
2651
+ },
2652
+ {
2653
+ "epoch": 62.99,
2654
+ "learning_rate": 1.777777777777778e-05,
2655
+ "loss": 1.459,
2656
+ "step": 210000
2657
+ },
2658
+ {
2659
+ "epoch": 63.14,
2660
+ "learning_rate": 1.7555555555555556e-05,
2661
+ "loss": 1.4563,
2662
+ "step": 210500
2663
+ },
2664
+ {
2665
+ "epoch": 63.29,
2666
+ "learning_rate": 1.7333333333333336e-05,
2667
+ "loss": 1.4609,
2668
+ "step": 211000
2669
+ },
2670
+ {
2671
+ "epoch": 63.44,
2672
+ "learning_rate": 1.7111111111111112e-05,
2673
+ "loss": 1.4587,
2674
+ "step": 211500
2675
+ },
2676
+ {
2677
+ "epoch": 63.59,
2678
+ "learning_rate": 1.688888888888889e-05,
2679
+ "loss": 1.46,
2680
+ "step": 212000
2681
+ },
2682
+ {
2683
+ "epoch": 63.74,
2684
+ "learning_rate": 1.6666666666666667e-05,
2685
+ "loss": 1.46,
2686
+ "step": 212500
2687
+ },
2688
+ {
2689
+ "epoch": 63.74,
2690
+ "eval_loss": 1.3980076313018799,
2691
+ "eval_runtime": 356.9089,
2692
+ "eval_samples_per_second": 477.399,
2693
+ "eval_steps_per_second": 3.732,
2694
+ "step": 212500
2695
+ },
2696
+ {
2697
+ "epoch": 63.89,
2698
+ "learning_rate": 1.6444444444444447e-05,
2699
+ "loss": 1.4591,
2700
+ "step": 213000
2701
+ },
2702
+ {
2703
+ "epoch": 64.04,
2704
+ "learning_rate": 1.6222222222222223e-05,
2705
+ "loss": 1.4595,
2706
+ "step": 213500
2707
+ },
2708
+ {
2709
+ "epoch": 64.19,
2710
+ "learning_rate": 1.6000000000000003e-05,
2711
+ "loss": 1.4565,
2712
+ "step": 214000
2713
+ },
2714
+ {
2715
+ "epoch": 64.34,
2716
+ "learning_rate": 1.577777777777778e-05,
2717
+ "loss": 1.4577,
2718
+ "step": 214500
2719
+ },
2720
+ {
2721
+ "epoch": 64.49,
2722
+ "learning_rate": 1.5555555555555555e-05,
2723
+ "loss": 1.4576,
2724
+ "step": 215000
2725
+ },
2726
+ {
2727
+ "epoch": 64.64,
2728
+ "learning_rate": 1.5333333333333334e-05,
2729
+ "loss": 1.4565,
2730
+ "step": 215500
2731
+ },
2732
+ {
2733
+ "epoch": 64.79,
2734
+ "learning_rate": 1.5111111111111112e-05,
2735
+ "loss": 1.4582,
2736
+ "step": 216000
2737
+ },
2738
+ {
2739
+ "epoch": 64.94,
2740
+ "learning_rate": 1.4888888888888888e-05,
2741
+ "loss": 1.4564,
2742
+ "step": 216500
2743
+ },
2744
+ {
2745
+ "epoch": 65.09,
2746
+ "learning_rate": 1.4666666666666668e-05,
2747
+ "loss": 1.4555,
2748
+ "step": 217000
2749
+ },
2750
+ {
2751
+ "epoch": 65.24,
2752
+ "learning_rate": 1.4444444444444444e-05,
2753
+ "loss": 1.457,
2754
+ "step": 217500
2755
+ },
2756
+ {
2757
+ "epoch": 65.39,
2758
+ "learning_rate": 1.4222222222222224e-05,
2759
+ "loss": 1.4554,
2760
+ "step": 218000
2761
+ },
2762
+ {
2763
+ "epoch": 65.54,
2764
+ "learning_rate": 1.4000000000000001e-05,
2765
+ "loss": 1.4575,
2766
+ "step": 218500
2767
+ },
2768
+ {
2769
+ "epoch": 65.69,
2770
+ "learning_rate": 1.3777777777777778e-05,
2771
+ "loss": 1.4558,
2772
+ "step": 219000
2773
+ },
2774
+ {
2775
+ "epoch": 65.84,
2776
+ "learning_rate": 1.3555555555555557e-05,
2777
+ "loss": 1.4566,
2778
+ "step": 219500
2779
+ },
2780
+ {
2781
+ "epoch": 65.99,
2782
+ "learning_rate": 1.3333333333333333e-05,
2783
+ "loss": 1.4551,
2784
+ "step": 220000
2785
+ },
2786
+ {
2787
+ "epoch": 66.14,
2788
+ "learning_rate": 1.3111111111111113e-05,
2789
+ "loss": 1.4547,
2790
+ "step": 220500
2791
+ },
2792
+ {
2793
+ "epoch": 66.29,
2794
+ "learning_rate": 1.2888888888888889e-05,
2795
+ "loss": 1.4553,
2796
+ "step": 221000
2797
+ },
2798
+ {
2799
+ "epoch": 66.44,
2800
+ "learning_rate": 1.2666666666666668e-05,
2801
+ "loss": 1.4525,
2802
+ "step": 221500
2803
+ },
2804
+ {
2805
+ "epoch": 66.59,
2806
+ "learning_rate": 1.2444444444444445e-05,
2807
+ "loss": 1.4544,
2808
+ "step": 222000
2809
+ },
2810
+ {
2811
+ "epoch": 66.74,
2812
+ "learning_rate": 1.2222222222222222e-05,
2813
+ "loss": 1.4528,
2814
+ "step": 222500
2815
+ },
2816
+ {
2817
+ "epoch": 66.89,
2818
+ "learning_rate": 1.2e-05,
2819
+ "loss": 1.4531,
2820
+ "step": 223000
2821
+ },
2822
+ {
2823
+ "epoch": 67.04,
2824
+ "learning_rate": 1.1777777777777778e-05,
2825
+ "loss": 1.4533,
2826
+ "step": 223500
2827
+ },
2828
+ {
2829
+ "epoch": 67.19,
2830
+ "learning_rate": 1.1555555555555556e-05,
2831
+ "loss": 1.452,
2832
+ "step": 224000
2833
+ },
2834
+ {
2835
+ "epoch": 67.34,
2836
+ "learning_rate": 1.1333333333333334e-05,
2837
+ "loss": 1.4526,
2838
+ "step": 224500
2839
+ },
2840
+ {
2841
+ "epoch": 67.49,
2842
+ "learning_rate": 1.1111111111111112e-05,
2843
+ "loss": 1.451,
2844
+ "step": 225000
2845
+ },
2846
+ {
2847
+ "epoch": 67.49,
2848
+ "eval_loss": 1.3923670053482056,
2849
+ "eval_runtime": 356.8892,
2850
+ "eval_samples_per_second": 477.426,
2851
+ "eval_steps_per_second": 3.732,
2852
+ "step": 225000
2853
+ },
2854
+ {
2855
+ "epoch": 67.64,
2856
+ "learning_rate": 1.088888888888889e-05,
2857
+ "loss": 1.4535,
2858
+ "step": 225500
2859
+ },
2860
+ {
2861
+ "epoch": 67.79,
2862
+ "learning_rate": 1.0666666666666667e-05,
2863
+ "loss": 1.4527,
2864
+ "step": 226000
2865
+ },
2866
+ {
2867
+ "epoch": 67.94,
2868
+ "learning_rate": 1.0444444444444445e-05,
2869
+ "loss": 1.4516,
2870
+ "step": 226500
2871
+ },
2872
+ {
2873
+ "epoch": 68.09,
2874
+ "learning_rate": 1.0222222222222223e-05,
2875
+ "loss": 1.4526,
2876
+ "step": 227000
2877
+ },
2878
+ {
2879
+ "epoch": 68.24,
2880
+ "learning_rate": 1e-05,
2881
+ "loss": 1.4517,
2882
+ "step": 227500
2883
+ },
2884
+ {
2885
+ "epoch": 68.39,
2886
+ "learning_rate": 9.777777777777779e-06,
2887
+ "loss": 1.4511,
2888
+ "step": 228000
2889
+ },
2890
+ {
2891
+ "epoch": 68.54,
2892
+ "learning_rate": 9.555555555555556e-06,
2893
+ "loss": 1.4507,
2894
+ "step": 228500
2895
+ },
2896
+ {
2897
+ "epoch": 68.69,
2898
+ "learning_rate": 9.333333333333334e-06,
2899
+ "loss": 1.4486,
2900
+ "step": 229000
2901
+ },
2902
+ {
2903
+ "epoch": 68.84,
2904
+ "learning_rate": 9.111111111111112e-06,
2905
+ "loss": 1.4531,
2906
+ "step": 229500
2907
+ },
2908
+ {
2909
+ "epoch": 68.99,
2910
+ "learning_rate": 8.88888888888889e-06,
2911
+ "loss": 1.4512,
2912
+ "step": 230000
2913
+ },
2914
+ {
2915
+ "epoch": 69.14,
2916
+ "learning_rate": 8.666666666666668e-06,
2917
+ "loss": 1.4494,
2918
+ "step": 230500
2919
+ },
2920
+ {
2921
+ "epoch": 69.29,
2922
+ "learning_rate": 8.444444444444446e-06,
2923
+ "loss": 1.4524,
2924
+ "step": 231000
2925
+ },
2926
+ {
2927
+ "epoch": 69.44,
2928
+ "learning_rate": 8.222222222222223e-06,
2929
+ "loss": 1.4509,
2930
+ "step": 231500
2931
+ },
2932
+ {
2933
+ "epoch": 69.59,
2934
+ "learning_rate": 8.000000000000001e-06,
2935
+ "loss": 1.45,
2936
+ "step": 232000
2937
+ },
2938
+ {
2939
+ "epoch": 69.74,
2940
+ "learning_rate": 7.777777777777777e-06,
2941
+ "loss": 1.4468,
2942
+ "step": 232500
2943
+ },
2944
+ {
2945
+ "epoch": 69.89,
2946
+ "learning_rate": 7.555555555555556e-06,
2947
+ "loss": 1.4463,
2948
+ "step": 233000
2949
+ },
2950
+ {
2951
+ "epoch": 70.04,
2952
+ "learning_rate": 7.333333333333334e-06,
2953
+ "loss": 1.4479,
2954
+ "step": 233500
2955
+ },
2956
+ {
2957
+ "epoch": 70.19,
2958
+ "learning_rate": 7.111111111111112e-06,
2959
+ "loss": 1.45,
2960
+ "step": 234000
2961
+ },
2962
+ {
2963
+ "epoch": 70.34,
2964
+ "learning_rate": 6.888888888888889e-06,
2965
+ "loss": 1.4478,
2966
+ "step": 234500
2967
+ },
2968
+ {
2969
+ "epoch": 70.49,
2970
+ "learning_rate": 6.666666666666667e-06,
2971
+ "loss": 1.448,
2972
+ "step": 235000
2973
+ },
2974
+ {
2975
+ "epoch": 70.64,
2976
+ "learning_rate": 6.4444444444444445e-06,
2977
+ "loss": 1.4477,
2978
+ "step": 235500
2979
+ },
2980
+ {
2981
+ "epoch": 70.79,
2982
+ "learning_rate": 6.222222222222222e-06,
2983
+ "loss": 1.4467,
2984
+ "step": 236000
2985
+ },
2986
+ {
2987
+ "epoch": 70.94,
2988
+ "learning_rate": 6e-06,
2989
+ "loss": 1.447,
2990
+ "step": 236500
2991
+ },
2992
+ {
2993
+ "epoch": 71.09,
2994
+ "learning_rate": 5.777777777777778e-06,
2995
+ "loss": 1.4475,
2996
+ "step": 237000
2997
+ },
2998
+ {
2999
+ "epoch": 71.24,
3000
+ "learning_rate": 5.555555555555556e-06,
3001
+ "loss": 1.4435,
3002
+ "step": 237500
3003
+ },
3004
+ {
3005
+ "epoch": 71.24,
3006
+ "eval_loss": 1.3885681629180908,
3007
+ "eval_runtime": 356.9911,
3008
+ "eval_samples_per_second": 477.289,
3009
+ "eval_steps_per_second": 3.731,
3010
+ "step": 237500
3011
+ },
3012
+ {
3013
+ "epoch": 71.39,
3014
+ "learning_rate": 5.333333333333334e-06,
3015
+ "loss": 1.4468,
3016
+ "step": 238000
3017
+ },
3018
+ {
3019
+ "epoch": 71.54,
3020
+ "learning_rate": 5.1111111111111115e-06,
3021
+ "loss": 1.446,
3022
+ "step": 238500
3023
+ },
3024
+ {
3025
+ "epoch": 71.69,
3026
+ "learning_rate": 4.888888888888889e-06,
3027
+ "loss": 1.4476,
3028
+ "step": 239000
3029
+ },
3030
+ {
3031
+ "epoch": 71.84,
3032
+ "learning_rate": 4.666666666666667e-06,
3033
+ "loss": 1.4479,
3034
+ "step": 239500
3035
+ },
3036
+ {
3037
+ "epoch": 71.99,
3038
+ "learning_rate": 4.444444444444445e-06,
3039
+ "loss": 1.4454,
3040
+ "step": 240000
3041
+ },
3042
+ {
3043
+ "epoch": 72.14,
3044
+ "learning_rate": 4.222222222222223e-06,
3045
+ "loss": 1.4464,
3046
+ "step": 240500
3047
+ },
3048
+ {
3049
+ "epoch": 72.29,
3050
+ "learning_rate": 4.000000000000001e-06,
3051
+ "loss": 1.445,
3052
+ "step": 241000
3053
+ },
3054
+ {
3055
+ "epoch": 72.44,
3056
+ "learning_rate": 3.777777777777778e-06,
3057
+ "loss": 1.4462,
3058
+ "step": 241500
3059
+ },
3060
+ {
3061
+ "epoch": 72.59,
3062
+ "learning_rate": 3.555555555555556e-06,
3063
+ "loss": 1.4457,
3064
+ "step": 242000
3065
+ },
3066
+ {
3067
+ "epoch": 72.74,
3068
+ "learning_rate": 3.3333333333333333e-06,
3069
+ "loss": 1.4465,
3070
+ "step": 242500
3071
+ },
3072
+ {
3073
+ "epoch": 72.89,
3074
+ "learning_rate": 3.111111111111111e-06,
3075
+ "loss": 1.4463,
3076
+ "step": 243000
3077
+ },
3078
+ {
3079
+ "epoch": 73.04,
3080
+ "learning_rate": 2.888888888888889e-06,
3081
+ "loss": 1.4453,
3082
+ "step": 243500
3083
+ },
3084
+ {
3085
+ "epoch": 73.19,
3086
+ "learning_rate": 2.666666666666667e-06,
3087
+ "loss": 1.444,
3088
+ "step": 244000
3089
+ },
3090
+ {
3091
+ "epoch": 73.34,
3092
+ "learning_rate": 2.4444444444444447e-06,
3093
+ "loss": 1.4426,
3094
+ "step": 244500
3095
+ },
3096
+ {
3097
+ "epoch": 73.49,
3098
+ "learning_rate": 2.2222222222222225e-06,
3099
+ "loss": 1.4431,
3100
+ "step": 245000
3101
+ },
3102
+ {
3103
+ "epoch": 73.64,
3104
+ "learning_rate": 2.0000000000000003e-06,
3105
+ "loss": 1.4438,
3106
+ "step": 245500
3107
+ },
3108
+ {
3109
+ "epoch": 73.79,
3110
+ "learning_rate": 1.777777777777778e-06,
3111
+ "loss": 1.4437,
3112
+ "step": 246000
3113
+ },
3114
+ {
3115
+ "epoch": 73.94,
3116
+ "learning_rate": 1.5555555555555556e-06,
3117
+ "loss": 1.444,
3118
+ "step": 246500
3119
+ },
3120
+ {
3121
+ "epoch": 74.09,
3122
+ "learning_rate": 1.3333333333333334e-06,
3123
+ "loss": 1.444,
3124
+ "step": 247000
3125
+ },
3126
+ {
3127
+ "epoch": 74.24,
3128
+ "learning_rate": 1.1111111111111112e-06,
3129
+ "loss": 1.4457,
3130
+ "step": 247500
3131
+ },
3132
+ {
3133
+ "epoch": 74.39,
3134
+ "learning_rate": 8.88888888888889e-07,
3135
+ "loss": 1.4434,
3136
+ "step": 248000
3137
+ },
3138
+ {
3139
+ "epoch": 74.54,
3140
+ "learning_rate": 6.666666666666667e-07,
3141
+ "loss": 1.4429,
3142
+ "step": 248500
3143
+ },
3144
+ {
3145
+ "epoch": 74.69,
3146
+ "learning_rate": 4.444444444444445e-07,
3147
+ "loss": 1.4426,
3148
+ "step": 249000
3149
+ },
3150
+ {
3151
+ "epoch": 74.84,
3152
+ "learning_rate": 2.2222222222222224e-07,
3153
+ "loss": 1.4413,
3154
+ "step": 249500
3155
+ },
3156
+ {
3157
+ "epoch": 74.99,
3158
+ "learning_rate": 0.0,
3159
+ "loss": 1.4436,
3160
+ "step": 250000
3161
+ },
3162
+ {
3163
+ "epoch": 74.99,
3164
+ "eval_loss": 1.3831435441970825,
3165
+ "eval_runtime": 356.4648,
3166
+ "eval_samples_per_second": 477.994,
3167
+ "eval_steps_per_second": 3.737,
3168
+ "step": 250000
3169
+ }
3170
+ ],
3171
+ "max_steps": 250000,
3172
+ "num_train_epochs": 75,
3173
+ "total_flos": 4.212247412736e+18,
3174
+ "trial_name": null,
3175
+ "trial_params": null
3176
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:cf2c329d004478e228e0409bc3af374ddf708290346d6a3647f2fde201c2b1fe
3
+ size 2927
vocab.json ADDED
The diff for this file is too large to render. See raw diff