initial commit
Browse files- README.md +76 -0
- config.json +28 -0
- merges.txt +0 -0
- optimizer.pt +3 -0
- pytorch_model.bin +3 -0
- rng_state_0.pth +3 -0
- rng_state_1.pth +3 -0
- rng_state_2.pth +3 -0
- rng_state_3.pth +3 -0
- rng_state_4.pth +3 -0
- rng_state_5.pth +3 -0
- rng_state_6.pth +3 -0
- rng_state_7.pth +3 -0
- scheduler.pt +3 -0
- special_tokens_map.json +1 -0
- tokenizer.json +0 -0
- tokenizer_config.json +1 -0
- trainer_state.json +3176 -0
- training_args.bin +3 -0
- vocab.json +0 -0
README.md
ADDED
@@ -0,0 +1,76 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
language: zh
|
3 |
+
license: mit
|
4 |
+
---
|
5 |
+
|
6 |
+
# roberta-base-wechsel-chinese
|
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:e09445db4913a4cc5accc844d2829afb9c001bfc75f48c2bc9661b14135b0afa
|
3 |
+
size 997697817
|
pytorch_model.bin
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:ab38287941ad0c498304b297ba22612ce6c550384462f511aa22af5a32447de4
|
3 |
+
size 498862437
|
rng_state_0.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:bc4e5b358cbde16cbd817a521219a8e73e7bbc1fc6df5b9d99ac13dccb08a310
|
3 |
+
size 13620
|
rng_state_1.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3a35911494b275d7a6101b8cd2909f29e3a307728beabf86f6d2e20355ba0a89
|
3 |
+
size 13620
|
rng_state_2.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:03bf10213cb231b55052ba749f59daf593cb3766b4866c37a86c778d17e79d24
|
3 |
+
size 13619
|
rng_state_3.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:eab9ca81aaf52835bf2baf801db53f77bec2238bd2b8a40e2d19c9c81fd23c21
|
3 |
+
size 13620
|
rng_state_4.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8b4b04d14bd342edeadda7d8a085e8c432f4668f81df4b571a78efbb83a31d49
|
3 |
+
size 13619
|
rng_state_5.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:3057f2c1791ad3f817f0b725d00b8eae4bba59a47707c8ace9719c56b129ff59
|
3 |
+
size 13620
|
rng_state_6.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:d31443a34da847df7d2f93c6e0cb437f9c17c4fa63cd13379c58f4ace0214b3e
|
3 |
+
size 13619
|
rng_state_7.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:55f46944aa16d0b0bb24814e64339b9c6ae30653c66021a27a93c1f097c5d266
|
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_chinese", "tokenizer_class": "RobertaTokenizer"}
|
trainer_state.json
ADDED
@@ -0,0 +1,3176 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"best_metric": null,
|
3 |
+
"best_model_checkpoint": null,
|
4 |
+
"epoch": 94.3039502215518,
|
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": 0.19,
|
12 |
+
"learning_rate": 2.0000000000000003e-06,
|
13 |
+
"loss": 8.2074,
|
14 |
+
"step": 500
|
15 |
+
},
|
16 |
+
{
|
17 |
+
"epoch": 0.38,
|
18 |
+
"learning_rate": 4.000000000000001e-06,
|
19 |
+
"loss": 7.333,
|
20 |
+
"step": 1000
|
21 |
+
},
|
22 |
+
{
|
23 |
+
"epoch": 0.57,
|
24 |
+
"learning_rate": 6e-06,
|
25 |
+
"loss": 6.7829,
|
26 |
+
"step": 1500
|
27 |
+
},
|
28 |
+
{
|
29 |
+
"epoch": 0.75,
|
30 |
+
"learning_rate": 8.000000000000001e-06,
|
31 |
+
"loss": 6.3812,
|
32 |
+
"step": 2000
|
33 |
+
},
|
34 |
+
{
|
35 |
+
"epoch": 0.94,
|
36 |
+
"learning_rate": 1e-05,
|
37 |
+
"loss": 6.1122,
|
38 |
+
"step": 2500
|
39 |
+
},
|
40 |
+
{
|
41 |
+
"epoch": 1.13,
|
42 |
+
"learning_rate": 1.2e-05,
|
43 |
+
"loss": 5.8855,
|
44 |
+
"step": 3000
|
45 |
+
},
|
46 |
+
{
|
47 |
+
"epoch": 1.32,
|
48 |
+
"learning_rate": 1.4000000000000001e-05,
|
49 |
+
"loss": 5.6587,
|
50 |
+
"step": 3500
|
51 |
+
},
|
52 |
+
{
|
53 |
+
"epoch": 1.51,
|
54 |
+
"learning_rate": 1.6000000000000003e-05,
|
55 |
+
"loss": 5.4578,
|
56 |
+
"step": 4000
|
57 |
+
},
|
58 |
+
{
|
59 |
+
"epoch": 1.7,
|
60 |
+
"learning_rate": 1.8e-05,
|
61 |
+
"loss": 5.2672,
|
62 |
+
"step": 4500
|
63 |
+
},
|
64 |
+
{
|
65 |
+
"epoch": 1.89,
|
66 |
+
"learning_rate": 2e-05,
|
67 |
+
"loss": 5.0883,
|
68 |
+
"step": 5000
|
69 |
+
},
|
70 |
+
{
|
71 |
+
"epoch": 2.07,
|
72 |
+
"learning_rate": 2.2000000000000003e-05,
|
73 |
+
"loss": 4.9455,
|
74 |
+
"step": 5500
|
75 |
+
},
|
76 |
+
{
|
77 |
+
"epoch": 2.26,
|
78 |
+
"learning_rate": 2.4e-05,
|
79 |
+
"loss": 4.7942,
|
80 |
+
"step": 6000
|
81 |
+
},
|
82 |
+
{
|
83 |
+
"epoch": 2.45,
|
84 |
+
"learning_rate": 2.6000000000000002e-05,
|
85 |
+
"loss": 4.6692,
|
86 |
+
"step": 6500
|
87 |
+
},
|
88 |
+
{
|
89 |
+
"epoch": 2.64,
|
90 |
+
"learning_rate": 2.8000000000000003e-05,
|
91 |
+
"loss": 4.5511,
|
92 |
+
"step": 7000
|
93 |
+
},
|
94 |
+
{
|
95 |
+
"epoch": 2.83,
|
96 |
+
"learning_rate": 3e-05,
|
97 |
+
"loss": 4.4469,
|
98 |
+
"step": 7500
|
99 |
+
},
|
100 |
+
{
|
101 |
+
"epoch": 3.02,
|
102 |
+
"learning_rate": 3.2000000000000005e-05,
|
103 |
+
"loss": 4.3566,
|
104 |
+
"step": 8000
|
105 |
+
},
|
106 |
+
{
|
107 |
+
"epoch": 3.21,
|
108 |
+
"learning_rate": 3.4000000000000007e-05,
|
109 |
+
"loss": 4.2571,
|
110 |
+
"step": 8500
|
111 |
+
},
|
112 |
+
{
|
113 |
+
"epoch": 3.39,
|
114 |
+
"learning_rate": 3.6e-05,
|
115 |
+
"loss": 4.1748,
|
116 |
+
"step": 9000
|
117 |
+
},
|
118 |
+
{
|
119 |
+
"epoch": 3.58,
|
120 |
+
"learning_rate": 3.8e-05,
|
121 |
+
"loss": 4.1022,
|
122 |
+
"step": 9500
|
123 |
+
},
|
124 |
+
{
|
125 |
+
"epoch": 3.77,
|
126 |
+
"learning_rate": 4e-05,
|
127 |
+
"loss": 4.027,
|
128 |
+
"step": 10000
|
129 |
+
},
|
130 |
+
{
|
131 |
+
"epoch": 3.96,
|
132 |
+
"learning_rate": 4.2e-05,
|
133 |
+
"loss": 3.9626,
|
134 |
+
"step": 10500
|
135 |
+
},
|
136 |
+
{
|
137 |
+
"epoch": 4.15,
|
138 |
+
"learning_rate": 4.4000000000000006e-05,
|
139 |
+
"loss": 3.9079,
|
140 |
+
"step": 11000
|
141 |
+
},
|
142 |
+
{
|
143 |
+
"epoch": 4.34,
|
144 |
+
"learning_rate": 4.600000000000001e-05,
|
145 |
+
"loss": 3.844,
|
146 |
+
"step": 11500
|
147 |
+
},
|
148 |
+
{
|
149 |
+
"epoch": 4.53,
|
150 |
+
"learning_rate": 4.8e-05,
|
151 |
+
"loss": 3.7907,
|
152 |
+
"step": 12000
|
153 |
+
},
|
154 |
+
{
|
155 |
+
"epoch": 4.71,
|
156 |
+
"learning_rate": 5e-05,
|
157 |
+
"loss": 3.7452,
|
158 |
+
"step": 12500
|
159 |
+
},
|
160 |
+
{
|
161 |
+
"epoch": 4.71,
|
162 |
+
"eval_loss": 3.5597941875457764,
|
163 |
+
"eval_runtime": 298.4056,
|
164 |
+
"eval_samples_per_second": 461.962,
|
165 |
+
"eval_steps_per_second": 3.609,
|
166 |
+
"step": 12500
|
167 |
+
},
|
168 |
+
{
|
169 |
+
"epoch": 4.9,
|
170 |
+
"learning_rate": 5.2000000000000004e-05,
|
171 |
+
"loss": 3.7008,
|
172 |
+
"step": 13000
|
173 |
+
},
|
174 |
+
{
|
175 |
+
"epoch": 5.09,
|
176 |
+
"learning_rate": 5.4000000000000005e-05,
|
177 |
+
"loss": 3.6604,
|
178 |
+
"step": 13500
|
179 |
+
},
|
180 |
+
{
|
181 |
+
"epoch": 5.28,
|
182 |
+
"learning_rate": 5.6000000000000006e-05,
|
183 |
+
"loss": 3.6173,
|
184 |
+
"step": 14000
|
185 |
+
},
|
186 |
+
{
|
187 |
+
"epoch": 5.47,
|
188 |
+
"learning_rate": 5.8e-05,
|
189 |
+
"loss": 3.5777,
|
190 |
+
"step": 14500
|
191 |
+
},
|
192 |
+
{
|
193 |
+
"epoch": 5.66,
|
194 |
+
"learning_rate": 6e-05,
|
195 |
+
"loss": 3.5396,
|
196 |
+
"step": 15000
|
197 |
+
},
|
198 |
+
{
|
199 |
+
"epoch": 5.85,
|
200 |
+
"learning_rate": 6.2e-05,
|
201 |
+
"loss": 3.5062,
|
202 |
+
"step": 15500
|
203 |
+
},
|
204 |
+
{
|
205 |
+
"epoch": 6.04,
|
206 |
+
"learning_rate": 6.400000000000001e-05,
|
207 |
+
"loss": 3.4766,
|
208 |
+
"step": 16000
|
209 |
+
},
|
210 |
+
{
|
211 |
+
"epoch": 6.22,
|
212 |
+
"learning_rate": 6.6e-05,
|
213 |
+
"loss": 3.4386,
|
214 |
+
"step": 16500
|
215 |
+
},
|
216 |
+
{
|
217 |
+
"epoch": 6.41,
|
218 |
+
"learning_rate": 6.800000000000001e-05,
|
219 |
+
"loss": 3.4131,
|
220 |
+
"step": 17000
|
221 |
+
},
|
222 |
+
{
|
223 |
+
"epoch": 6.6,
|
224 |
+
"learning_rate": 7e-05,
|
225 |
+
"loss": 3.388,
|
226 |
+
"step": 17500
|
227 |
+
},
|
228 |
+
{
|
229 |
+
"epoch": 6.79,
|
230 |
+
"learning_rate": 7.2e-05,
|
231 |
+
"loss": 3.3536,
|
232 |
+
"step": 18000
|
233 |
+
},
|
234 |
+
{
|
235 |
+
"epoch": 6.98,
|
236 |
+
"learning_rate": 7.4e-05,
|
237 |
+
"loss": 3.3314,
|
238 |
+
"step": 18500
|
239 |
+
},
|
240 |
+
{
|
241 |
+
"epoch": 7.17,
|
242 |
+
"learning_rate": 7.6e-05,
|
243 |
+
"loss": 3.3095,
|
244 |
+
"step": 19000
|
245 |
+
},
|
246 |
+
{
|
247 |
+
"epoch": 7.36,
|
248 |
+
"learning_rate": 7.800000000000001e-05,
|
249 |
+
"loss": 3.2802,
|
250 |
+
"step": 19500
|
251 |
+
},
|
252 |
+
{
|
253 |
+
"epoch": 7.54,
|
254 |
+
"learning_rate": 8e-05,
|
255 |
+
"loss": 3.2583,
|
256 |
+
"step": 20000
|
257 |
+
},
|
258 |
+
{
|
259 |
+
"epoch": 7.73,
|
260 |
+
"learning_rate": 8.2e-05,
|
261 |
+
"loss": 3.2374,
|
262 |
+
"step": 20500
|
263 |
+
},
|
264 |
+
{
|
265 |
+
"epoch": 7.92,
|
266 |
+
"learning_rate": 8.4e-05,
|
267 |
+
"loss": 3.2223,
|
268 |
+
"step": 21000
|
269 |
+
},
|
270 |
+
{
|
271 |
+
"epoch": 8.11,
|
272 |
+
"learning_rate": 8.6e-05,
|
273 |
+
"loss": 3.1986,
|
274 |
+
"step": 21500
|
275 |
+
},
|
276 |
+
{
|
277 |
+
"epoch": 8.3,
|
278 |
+
"learning_rate": 8.800000000000001e-05,
|
279 |
+
"loss": 3.1782,
|
280 |
+
"step": 22000
|
281 |
+
},
|
282 |
+
{
|
283 |
+
"epoch": 8.49,
|
284 |
+
"learning_rate": 9e-05,
|
285 |
+
"loss": 3.1585,
|
286 |
+
"step": 22500
|
287 |
+
},
|
288 |
+
{
|
289 |
+
"epoch": 8.68,
|
290 |
+
"learning_rate": 9.200000000000001e-05,
|
291 |
+
"loss": 3.1438,
|
292 |
+
"step": 23000
|
293 |
+
},
|
294 |
+
{
|
295 |
+
"epoch": 8.86,
|
296 |
+
"learning_rate": 9.4e-05,
|
297 |
+
"loss": 3.1313,
|
298 |
+
"step": 23500
|
299 |
+
},
|
300 |
+
{
|
301 |
+
"epoch": 9.05,
|
302 |
+
"learning_rate": 9.6e-05,
|
303 |
+
"loss": 3.1168,
|
304 |
+
"step": 24000
|
305 |
+
},
|
306 |
+
{
|
307 |
+
"epoch": 9.24,
|
308 |
+
"learning_rate": 9.8e-05,
|
309 |
+
"loss": 3.092,
|
310 |
+
"step": 24500
|
311 |
+
},
|
312 |
+
{
|
313 |
+
"epoch": 9.43,
|
314 |
+
"learning_rate": 0.0001,
|
315 |
+
"loss": 3.0788,
|
316 |
+
"step": 25000
|
317 |
+
},
|
318 |
+
{
|
319 |
+
"epoch": 9.43,
|
320 |
+
"eval_loss": 2.930635690689087,
|
321 |
+
"eval_runtime": 283.6019,
|
322 |
+
"eval_samples_per_second": 486.076,
|
323 |
+
"eval_steps_per_second": 3.798,
|
324 |
+
"step": 25000
|
325 |
+
},
|
326 |
+
{
|
327 |
+
"epoch": 9.62,
|
328 |
+
"learning_rate": 9.977777777777779e-05,
|
329 |
+
"loss": 3.0672,
|
330 |
+
"step": 25500
|
331 |
+
},
|
332 |
+
{
|
333 |
+
"epoch": 9.81,
|
334 |
+
"learning_rate": 9.955555555555556e-05,
|
335 |
+
"loss": 3.0534,
|
336 |
+
"step": 26000
|
337 |
+
},
|
338 |
+
{
|
339 |
+
"epoch": 10.0,
|
340 |
+
"learning_rate": 9.933333333333334e-05,
|
341 |
+
"loss": 3.0395,
|
342 |
+
"step": 26500
|
343 |
+
},
|
344 |
+
{
|
345 |
+
"epoch": 10.18,
|
346 |
+
"learning_rate": 9.911111111111112e-05,
|
347 |
+
"loss": 3.0276,
|
348 |
+
"step": 27000
|
349 |
+
},
|
350 |
+
{
|
351 |
+
"epoch": 10.37,
|
352 |
+
"learning_rate": 9.888888888888889e-05,
|
353 |
+
"loss": 3.0069,
|
354 |
+
"step": 27500
|
355 |
+
},
|
356 |
+
{
|
357 |
+
"epoch": 10.56,
|
358 |
+
"learning_rate": 9.866666666666668e-05,
|
359 |
+
"loss": 2.9995,
|
360 |
+
"step": 28000
|
361 |
+
},
|
362 |
+
{
|
363 |
+
"epoch": 10.75,
|
364 |
+
"learning_rate": 9.844444444444444e-05,
|
365 |
+
"loss": 2.9893,
|
366 |
+
"step": 28500
|
367 |
+
},
|
368 |
+
{
|
369 |
+
"epoch": 10.94,
|
370 |
+
"learning_rate": 9.822222222222223e-05,
|
371 |
+
"loss": 2.9776,
|
372 |
+
"step": 29000
|
373 |
+
},
|
374 |
+
{
|
375 |
+
"epoch": 11.13,
|
376 |
+
"learning_rate": 9.8e-05,
|
377 |
+
"loss": 2.9693,
|
378 |
+
"step": 29500
|
379 |
+
},
|
380 |
+
{
|
381 |
+
"epoch": 11.32,
|
382 |
+
"learning_rate": 9.777777777777778e-05,
|
383 |
+
"loss": 2.9528,
|
384 |
+
"step": 30000
|
385 |
+
},
|
386 |
+
{
|
387 |
+
"epoch": 11.5,
|
388 |
+
"learning_rate": 9.755555555555555e-05,
|
389 |
+
"loss": 2.9467,
|
390 |
+
"step": 30500
|
391 |
+
},
|
392 |
+
{
|
393 |
+
"epoch": 11.69,
|
394 |
+
"learning_rate": 9.733333333333335e-05,
|
395 |
+
"loss": 2.94,
|
396 |
+
"step": 31000
|
397 |
+
},
|
398 |
+
{
|
399 |
+
"epoch": 11.88,
|
400 |
+
"learning_rate": 9.711111111111111e-05,
|
401 |
+
"loss": 2.9276,
|
402 |
+
"step": 31500
|
403 |
+
},
|
404 |
+
{
|
405 |
+
"epoch": 12.07,
|
406 |
+
"learning_rate": 9.68888888888889e-05,
|
407 |
+
"loss": 2.9234,
|
408 |
+
"step": 32000
|
409 |
+
},
|
410 |
+
{
|
411 |
+
"epoch": 12.26,
|
412 |
+
"learning_rate": 9.666666666666667e-05,
|
413 |
+
"loss": 2.9092,
|
414 |
+
"step": 32500
|
415 |
+
},
|
416 |
+
{
|
417 |
+
"epoch": 12.45,
|
418 |
+
"learning_rate": 9.644444444444445e-05,
|
419 |
+
"loss": 2.9046,
|
420 |
+
"step": 33000
|
421 |
+
},
|
422 |
+
{
|
423 |
+
"epoch": 12.64,
|
424 |
+
"learning_rate": 9.622222222222222e-05,
|
425 |
+
"loss": 2.8948,
|
426 |
+
"step": 33500
|
427 |
+
},
|
428 |
+
{
|
429 |
+
"epoch": 12.83,
|
430 |
+
"learning_rate": 9.6e-05,
|
431 |
+
"loss": 2.8869,
|
432 |
+
"step": 34000
|
433 |
+
},
|
434 |
+
{
|
435 |
+
"epoch": 13.01,
|
436 |
+
"learning_rate": 9.577777777777777e-05,
|
437 |
+
"loss": 2.884,
|
438 |
+
"step": 34500
|
439 |
+
},
|
440 |
+
{
|
441 |
+
"epoch": 13.2,
|
442 |
+
"learning_rate": 9.555555555555557e-05,
|
443 |
+
"loss": 2.8717,
|
444 |
+
"step": 35000
|
445 |
+
},
|
446 |
+
{
|
447 |
+
"epoch": 13.39,
|
448 |
+
"learning_rate": 9.533333333333334e-05,
|
449 |
+
"loss": 2.8653,
|
450 |
+
"step": 35500
|
451 |
+
},
|
452 |
+
{
|
453 |
+
"epoch": 13.58,
|
454 |
+
"learning_rate": 9.511111111111112e-05,
|
455 |
+
"loss": 2.8565,
|
456 |
+
"step": 36000
|
457 |
+
},
|
458 |
+
{
|
459 |
+
"epoch": 13.77,
|
460 |
+
"learning_rate": 9.488888888888889e-05,
|
461 |
+
"loss": 2.8524,
|
462 |
+
"step": 36500
|
463 |
+
},
|
464 |
+
{
|
465 |
+
"epoch": 13.96,
|
466 |
+
"learning_rate": 9.466666666666667e-05,
|
467 |
+
"loss": 2.8449,
|
468 |
+
"step": 37000
|
469 |
+
},
|
470 |
+
{
|
471 |
+
"epoch": 14.15,
|
472 |
+
"learning_rate": 9.444444444444444e-05,
|
473 |
+
"loss": 2.8406,
|
474 |
+
"step": 37500
|
475 |
+
},
|
476 |
+
{
|
477 |
+
"epoch": 14.15,
|
478 |
+
"eval_loss": 2.706800937652588,
|
479 |
+
"eval_runtime": 283.8148,
|
480 |
+
"eval_samples_per_second": 485.711,
|
481 |
+
"eval_steps_per_second": 3.795,
|
482 |
+
"step": 37500
|
483 |
+
},
|
484 |
+
{
|
485 |
+
"epoch": 14.33,
|
486 |
+
"learning_rate": 9.422222222222223e-05,
|
487 |
+
"loss": 2.835,
|
488 |
+
"step": 38000
|
489 |
+
},
|
490 |
+
{
|
491 |
+
"epoch": 14.52,
|
492 |
+
"learning_rate": 9.4e-05,
|
493 |
+
"loss": 2.8281,
|
494 |
+
"step": 38500
|
495 |
+
},
|
496 |
+
{
|
497 |
+
"epoch": 14.71,
|
498 |
+
"learning_rate": 9.377777777777779e-05,
|
499 |
+
"loss": 2.8208,
|
500 |
+
"step": 39000
|
501 |
+
},
|
502 |
+
{
|
503 |
+
"epoch": 14.9,
|
504 |
+
"learning_rate": 9.355555555555556e-05,
|
505 |
+
"loss": 2.8225,
|
506 |
+
"step": 39500
|
507 |
+
},
|
508 |
+
{
|
509 |
+
"epoch": 15.09,
|
510 |
+
"learning_rate": 9.333333333333334e-05,
|
511 |
+
"loss": 2.8122,
|
512 |
+
"step": 40000
|
513 |
+
},
|
514 |
+
{
|
515 |
+
"epoch": 15.28,
|
516 |
+
"learning_rate": 9.311111111111111e-05,
|
517 |
+
"loss": 2.8051,
|
518 |
+
"step": 40500
|
519 |
+
},
|
520 |
+
{
|
521 |
+
"epoch": 15.47,
|
522 |
+
"learning_rate": 9.28888888888889e-05,
|
523 |
+
"loss": 2.8047,
|
524 |
+
"step": 41000
|
525 |
+
},
|
526 |
+
{
|
527 |
+
"epoch": 15.65,
|
528 |
+
"learning_rate": 9.266666666666666e-05,
|
529 |
+
"loss": 2.7949,
|
530 |
+
"step": 41500
|
531 |
+
},
|
532 |
+
{
|
533 |
+
"epoch": 15.84,
|
534 |
+
"learning_rate": 9.244444444444445e-05,
|
535 |
+
"loss": 2.7948,
|
536 |
+
"step": 42000
|
537 |
+
},
|
538 |
+
{
|
539 |
+
"epoch": 16.03,
|
540 |
+
"learning_rate": 9.222222222222223e-05,
|
541 |
+
"loss": 2.7895,
|
542 |
+
"step": 42500
|
543 |
+
},
|
544 |
+
{
|
545 |
+
"epoch": 16.22,
|
546 |
+
"learning_rate": 9.200000000000001e-05,
|
547 |
+
"loss": 2.784,
|
548 |
+
"step": 43000
|
549 |
+
},
|
550 |
+
{
|
551 |
+
"epoch": 16.41,
|
552 |
+
"learning_rate": 9.177777777777778e-05,
|
553 |
+
"loss": 2.7806,
|
554 |
+
"step": 43500
|
555 |
+
},
|
556 |
+
{
|
557 |
+
"epoch": 16.6,
|
558 |
+
"learning_rate": 9.155555555555557e-05,
|
559 |
+
"loss": 2.7774,
|
560 |
+
"step": 44000
|
561 |
+
},
|
562 |
+
{
|
563 |
+
"epoch": 16.79,
|
564 |
+
"learning_rate": 9.133333333333334e-05,
|
565 |
+
"loss": 2.769,
|
566 |
+
"step": 44500
|
567 |
+
},
|
568 |
+
{
|
569 |
+
"epoch": 16.97,
|
570 |
+
"learning_rate": 9.111111111111112e-05,
|
571 |
+
"loss": 2.7634,
|
572 |
+
"step": 45000
|
573 |
+
},
|
574 |
+
{
|
575 |
+
"epoch": 17.16,
|
576 |
+
"learning_rate": 9.088888888888889e-05,
|
577 |
+
"loss": 2.7645,
|
578 |
+
"step": 45500
|
579 |
+
},
|
580 |
+
{
|
581 |
+
"epoch": 17.35,
|
582 |
+
"learning_rate": 9.066666666666667e-05,
|
583 |
+
"loss": 2.7576,
|
584 |
+
"step": 46000
|
585 |
+
},
|
586 |
+
{
|
587 |
+
"epoch": 17.54,
|
588 |
+
"learning_rate": 9.044444444444445e-05,
|
589 |
+
"loss": 2.7533,
|
590 |
+
"step": 46500
|
591 |
+
},
|
592 |
+
{
|
593 |
+
"epoch": 17.73,
|
594 |
+
"learning_rate": 9.022222222222224e-05,
|
595 |
+
"loss": 2.7536,
|
596 |
+
"step": 47000
|
597 |
+
},
|
598 |
+
{
|
599 |
+
"epoch": 17.92,
|
600 |
+
"learning_rate": 9e-05,
|
601 |
+
"loss": 2.7447,
|
602 |
+
"step": 47500
|
603 |
+
},
|
604 |
+
{
|
605 |
+
"epoch": 18.11,
|
606 |
+
"learning_rate": 8.977777777777779e-05,
|
607 |
+
"loss": 2.7401,
|
608 |
+
"step": 48000
|
609 |
+
},
|
610 |
+
{
|
611 |
+
"epoch": 18.29,
|
612 |
+
"learning_rate": 8.955555555555556e-05,
|
613 |
+
"loss": 2.7365,
|
614 |
+
"step": 48500
|
615 |
+
},
|
616 |
+
{
|
617 |
+
"epoch": 18.48,
|
618 |
+
"learning_rate": 8.933333333333334e-05,
|
619 |
+
"loss": 2.7349,
|
620 |
+
"step": 49000
|
621 |
+
},
|
622 |
+
{
|
623 |
+
"epoch": 18.67,
|
624 |
+
"learning_rate": 8.911111111111111e-05,
|
625 |
+
"loss": 2.7308,
|
626 |
+
"step": 49500
|
627 |
+
},
|
628 |
+
{
|
629 |
+
"epoch": 18.86,
|
630 |
+
"learning_rate": 8.888888888888889e-05,
|
631 |
+
"loss": 2.7305,
|
632 |
+
"step": 50000
|
633 |
+
},
|
634 |
+
{
|
635 |
+
"epoch": 18.86,
|
636 |
+
"eval_loss": 2.608755111694336,
|
637 |
+
"eval_runtime": 283.7638,
|
638 |
+
"eval_samples_per_second": 485.798,
|
639 |
+
"eval_steps_per_second": 3.795,
|
640 |
+
"step": 50000
|
641 |
+
},
|
642 |
+
{
|
643 |
+
"epoch": 19.05,
|
644 |
+
"learning_rate": 8.866666666666668e-05,
|
645 |
+
"loss": 2.7327,
|
646 |
+
"step": 50500
|
647 |
+
},
|
648 |
+
{
|
649 |
+
"epoch": 19.24,
|
650 |
+
"learning_rate": 8.844444444444445e-05,
|
651 |
+
"loss": 2.722,
|
652 |
+
"step": 51000
|
653 |
+
},
|
654 |
+
{
|
655 |
+
"epoch": 19.43,
|
656 |
+
"learning_rate": 8.822222222222223e-05,
|
657 |
+
"loss": 2.7219,
|
658 |
+
"step": 51500
|
659 |
+
},
|
660 |
+
{
|
661 |
+
"epoch": 19.62,
|
662 |
+
"learning_rate": 8.800000000000001e-05,
|
663 |
+
"loss": 2.71,
|
664 |
+
"step": 52000
|
665 |
+
},
|
666 |
+
{
|
667 |
+
"epoch": 19.8,
|
668 |
+
"learning_rate": 8.777777777777778e-05,
|
669 |
+
"loss": 2.7107,
|
670 |
+
"step": 52500
|
671 |
+
},
|
672 |
+
{
|
673 |
+
"epoch": 19.99,
|
674 |
+
"learning_rate": 8.755555555555556e-05,
|
675 |
+
"loss": 2.7127,
|
676 |
+
"step": 53000
|
677 |
+
},
|
678 |
+
{
|
679 |
+
"epoch": 20.18,
|
680 |
+
"learning_rate": 8.733333333333333e-05,
|
681 |
+
"loss": 2.7044,
|
682 |
+
"step": 53500
|
683 |
+
},
|
684 |
+
{
|
685 |
+
"epoch": 20.37,
|
686 |
+
"learning_rate": 8.711111111111112e-05,
|
687 |
+
"loss": 2.7036,
|
688 |
+
"step": 54000
|
689 |
+
},
|
690 |
+
{
|
691 |
+
"epoch": 20.56,
|
692 |
+
"learning_rate": 8.68888888888889e-05,
|
693 |
+
"loss": 2.7002,
|
694 |
+
"step": 54500
|
695 |
+
},
|
696 |
+
{
|
697 |
+
"epoch": 20.75,
|
698 |
+
"learning_rate": 8.666666666666667e-05,
|
699 |
+
"loss": 2.6973,
|
700 |
+
"step": 55000
|
701 |
+
},
|
702 |
+
{
|
703 |
+
"epoch": 20.94,
|
704 |
+
"learning_rate": 8.644444444444445e-05,
|
705 |
+
"loss": 2.6931,
|
706 |
+
"step": 55500
|
707 |
+
},
|
708 |
+
{
|
709 |
+
"epoch": 21.12,
|
710 |
+
"learning_rate": 8.622222222222222e-05,
|
711 |
+
"loss": 2.6938,
|
712 |
+
"step": 56000
|
713 |
+
},
|
714 |
+
{
|
715 |
+
"epoch": 21.31,
|
716 |
+
"learning_rate": 8.6e-05,
|
717 |
+
"loss": 2.6837,
|
718 |
+
"step": 56500
|
719 |
+
},
|
720 |
+
{
|
721 |
+
"epoch": 21.5,
|
722 |
+
"learning_rate": 8.577777777777777e-05,
|
723 |
+
"loss": 2.6851,
|
724 |
+
"step": 57000
|
725 |
+
},
|
726 |
+
{
|
727 |
+
"epoch": 21.69,
|
728 |
+
"learning_rate": 8.555555555555556e-05,
|
729 |
+
"loss": 2.6848,
|
730 |
+
"step": 57500
|
731 |
+
},
|
732 |
+
{
|
733 |
+
"epoch": 21.88,
|
734 |
+
"learning_rate": 8.533333333333334e-05,
|
735 |
+
"loss": 2.6845,
|
736 |
+
"step": 58000
|
737 |
+
},
|
738 |
+
{
|
739 |
+
"epoch": 22.07,
|
740 |
+
"learning_rate": 8.511111111111112e-05,
|
741 |
+
"loss": 2.6839,
|
742 |
+
"step": 58500
|
743 |
+
},
|
744 |
+
{
|
745 |
+
"epoch": 22.26,
|
746 |
+
"learning_rate": 8.488888888888889e-05,
|
747 |
+
"loss": 2.6746,
|
748 |
+
"step": 59000
|
749 |
+
},
|
750 |
+
{
|
751 |
+
"epoch": 22.44,
|
752 |
+
"learning_rate": 8.466666666666667e-05,
|
753 |
+
"loss": 2.6736,
|
754 |
+
"step": 59500
|
755 |
+
},
|
756 |
+
{
|
757 |
+
"epoch": 22.63,
|
758 |
+
"learning_rate": 8.444444444444444e-05,
|
759 |
+
"loss": 2.6688,
|
760 |
+
"step": 60000
|
761 |
+
},
|
762 |
+
{
|
763 |
+
"epoch": 22.82,
|
764 |
+
"learning_rate": 8.422222222222223e-05,
|
765 |
+
"loss": 2.6699,
|
766 |
+
"step": 60500
|
767 |
+
},
|
768 |
+
{
|
769 |
+
"epoch": 23.01,
|
770 |
+
"learning_rate": 8.4e-05,
|
771 |
+
"loss": 2.673,
|
772 |
+
"step": 61000
|
773 |
+
},
|
774 |
+
{
|
775 |
+
"epoch": 23.2,
|
776 |
+
"learning_rate": 8.377777777777778e-05,
|
777 |
+
"loss": 2.6606,
|
778 |
+
"step": 61500
|
779 |
+
},
|
780 |
+
{
|
781 |
+
"epoch": 23.39,
|
782 |
+
"learning_rate": 8.355555555555556e-05,
|
783 |
+
"loss": 2.6595,
|
784 |
+
"step": 62000
|
785 |
+
},
|
786 |
+
{
|
787 |
+
"epoch": 23.58,
|
788 |
+
"learning_rate": 8.333333333333334e-05,
|
789 |
+
"loss": 2.6634,
|
790 |
+
"step": 62500
|
791 |
+
},
|
792 |
+
{
|
793 |
+
"epoch": 23.58,
|
794 |
+
"eval_loss": 2.541694164276123,
|
795 |
+
"eval_runtime": 283.9564,
|
796 |
+
"eval_samples_per_second": 485.469,
|
797 |
+
"eval_steps_per_second": 3.793,
|
798 |
+
"step": 62500
|
799 |
+
},
|
800 |
+
{
|
801 |
+
"epoch": 23.76,
|
802 |
+
"learning_rate": 8.311111111111111e-05,
|
803 |
+
"loss": 2.6599,
|
804 |
+
"step": 63000
|
805 |
+
},
|
806 |
+
{
|
807 |
+
"epoch": 23.95,
|
808 |
+
"learning_rate": 8.28888888888889e-05,
|
809 |
+
"loss": 2.6509,
|
810 |
+
"step": 63500
|
811 |
+
},
|
812 |
+
{
|
813 |
+
"epoch": 24.14,
|
814 |
+
"learning_rate": 8.266666666666667e-05,
|
815 |
+
"loss": 2.6573,
|
816 |
+
"step": 64000
|
817 |
+
},
|
818 |
+
{
|
819 |
+
"epoch": 24.33,
|
820 |
+
"learning_rate": 8.244444444444445e-05,
|
821 |
+
"loss": 2.6497,
|
822 |
+
"step": 64500
|
823 |
+
},
|
824 |
+
{
|
825 |
+
"epoch": 24.52,
|
826 |
+
"learning_rate": 8.222222222222222e-05,
|
827 |
+
"loss": 2.6492,
|
828 |
+
"step": 65000
|
829 |
+
},
|
830 |
+
{
|
831 |
+
"epoch": 24.71,
|
832 |
+
"learning_rate": 8.2e-05,
|
833 |
+
"loss": 2.646,
|
834 |
+
"step": 65500
|
835 |
+
},
|
836 |
+
{
|
837 |
+
"epoch": 24.9,
|
838 |
+
"learning_rate": 8.177777777777778e-05,
|
839 |
+
"loss": 2.6444,
|
840 |
+
"step": 66000
|
841 |
+
},
|
842 |
+
{
|
843 |
+
"epoch": 25.08,
|
844 |
+
"learning_rate": 8.155555555555557e-05,
|
845 |
+
"loss": 2.6465,
|
846 |
+
"step": 66500
|
847 |
+
},
|
848 |
+
{
|
849 |
+
"epoch": 25.27,
|
850 |
+
"learning_rate": 8.133333333333334e-05,
|
851 |
+
"loss": 2.6412,
|
852 |
+
"step": 67000
|
853 |
+
},
|
854 |
+
{
|
855 |
+
"epoch": 25.46,
|
856 |
+
"learning_rate": 8.111111111111112e-05,
|
857 |
+
"loss": 2.6364,
|
858 |
+
"step": 67500
|
859 |
+
},
|
860 |
+
{
|
861 |
+
"epoch": 25.65,
|
862 |
+
"learning_rate": 8.088888888888889e-05,
|
863 |
+
"loss": 2.6377,
|
864 |
+
"step": 68000
|
865 |
+
},
|
866 |
+
{
|
867 |
+
"epoch": 25.84,
|
868 |
+
"learning_rate": 8.066666666666667e-05,
|
869 |
+
"loss": 2.6331,
|
870 |
+
"step": 68500
|
871 |
+
},
|
872 |
+
{
|
873 |
+
"epoch": 26.03,
|
874 |
+
"learning_rate": 8.044444444444444e-05,
|
875 |
+
"loss": 2.6374,
|
876 |
+
"step": 69000
|
877 |
+
},
|
878 |
+
{
|
879 |
+
"epoch": 26.22,
|
880 |
+
"learning_rate": 8.022222222222222e-05,
|
881 |
+
"loss": 2.6269,
|
882 |
+
"step": 69500
|
883 |
+
},
|
884 |
+
{
|
885 |
+
"epoch": 26.41,
|
886 |
+
"learning_rate": 8e-05,
|
887 |
+
"loss": 2.625,
|
888 |
+
"step": 70000
|
889 |
+
},
|
890 |
+
{
|
891 |
+
"epoch": 26.59,
|
892 |
+
"learning_rate": 7.977777777777779e-05,
|
893 |
+
"loss": 2.6279,
|
894 |
+
"step": 70500
|
895 |
+
},
|
896 |
+
{
|
897 |
+
"epoch": 26.78,
|
898 |
+
"learning_rate": 7.955555555555556e-05,
|
899 |
+
"loss": 2.6278,
|
900 |
+
"step": 71000
|
901 |
+
},
|
902 |
+
{
|
903 |
+
"epoch": 26.97,
|
904 |
+
"learning_rate": 7.933333333333334e-05,
|
905 |
+
"loss": 2.6267,
|
906 |
+
"step": 71500
|
907 |
+
},
|
908 |
+
{
|
909 |
+
"epoch": 27.16,
|
910 |
+
"learning_rate": 7.911111111111111e-05,
|
911 |
+
"loss": 2.6273,
|
912 |
+
"step": 72000
|
913 |
+
},
|
914 |
+
{
|
915 |
+
"epoch": 27.35,
|
916 |
+
"learning_rate": 7.88888888888889e-05,
|
917 |
+
"loss": 2.6175,
|
918 |
+
"step": 72500
|
919 |
+
},
|
920 |
+
{
|
921 |
+
"epoch": 27.54,
|
922 |
+
"learning_rate": 7.866666666666666e-05,
|
923 |
+
"loss": 2.6149,
|
924 |
+
"step": 73000
|
925 |
+
},
|
926 |
+
{
|
927 |
+
"epoch": 27.73,
|
928 |
+
"learning_rate": 7.844444444444446e-05,
|
929 |
+
"loss": 2.6183,
|
930 |
+
"step": 73500
|
931 |
+
},
|
932 |
+
{
|
933 |
+
"epoch": 27.91,
|
934 |
+
"learning_rate": 7.822222222222223e-05,
|
935 |
+
"loss": 2.6107,
|
936 |
+
"step": 74000
|
937 |
+
},
|
938 |
+
{
|
939 |
+
"epoch": 28.1,
|
940 |
+
"learning_rate": 7.800000000000001e-05,
|
941 |
+
"loss": 2.6181,
|
942 |
+
"step": 74500
|
943 |
+
},
|
944 |
+
{
|
945 |
+
"epoch": 28.29,
|
946 |
+
"learning_rate": 7.777777777777778e-05,
|
947 |
+
"loss": 2.6134,
|
948 |
+
"step": 75000
|
949 |
+
},
|
950 |
+
{
|
951 |
+
"epoch": 28.29,
|
952 |
+
"eval_loss": 2.4989469051361084,
|
953 |
+
"eval_runtime": 283.5232,
|
954 |
+
"eval_samples_per_second": 486.211,
|
955 |
+
"eval_steps_per_second": 3.799,
|
956 |
+
"step": 75000
|
957 |
+
},
|
958 |
+
{
|
959 |
+
"epoch": 28.48,
|
960 |
+
"learning_rate": 7.755555555555556e-05,
|
961 |
+
"loss": 2.6136,
|
962 |
+
"step": 75500
|
963 |
+
},
|
964 |
+
{
|
965 |
+
"epoch": 28.67,
|
966 |
+
"learning_rate": 7.733333333333333e-05,
|
967 |
+
"loss": 2.6061,
|
968 |
+
"step": 76000
|
969 |
+
},
|
970 |
+
{
|
971 |
+
"epoch": 28.86,
|
972 |
+
"learning_rate": 7.711111111111112e-05,
|
973 |
+
"loss": 2.6038,
|
974 |
+
"step": 76500
|
975 |
+
},
|
976 |
+
{
|
977 |
+
"epoch": 29.05,
|
978 |
+
"learning_rate": 7.688888888888889e-05,
|
979 |
+
"loss": 2.6056,
|
980 |
+
"step": 77000
|
981 |
+
},
|
982 |
+
{
|
983 |
+
"epoch": 29.23,
|
984 |
+
"learning_rate": 7.666666666666667e-05,
|
985 |
+
"loss": 2.6044,
|
986 |
+
"step": 77500
|
987 |
+
},
|
988 |
+
{
|
989 |
+
"epoch": 29.42,
|
990 |
+
"learning_rate": 7.644444444444445e-05,
|
991 |
+
"loss": 2.6012,
|
992 |
+
"step": 78000
|
993 |
+
},
|
994 |
+
{
|
995 |
+
"epoch": 29.61,
|
996 |
+
"learning_rate": 7.622222222222223e-05,
|
997 |
+
"loss": 2.5976,
|
998 |
+
"step": 78500
|
999 |
+
},
|
1000 |
+
{
|
1001 |
+
"epoch": 29.8,
|
1002 |
+
"learning_rate": 7.6e-05,
|
1003 |
+
"loss": 2.5993,
|
1004 |
+
"step": 79000
|
1005 |
+
},
|
1006 |
+
{
|
1007 |
+
"epoch": 29.99,
|
1008 |
+
"learning_rate": 7.577777777777779e-05,
|
1009 |
+
"loss": 2.5964,
|
1010 |
+
"step": 79500
|
1011 |
+
},
|
1012 |
+
{
|
1013 |
+
"epoch": 30.18,
|
1014 |
+
"learning_rate": 7.555555555555556e-05,
|
1015 |
+
"loss": 2.5953,
|
1016 |
+
"step": 80000
|
1017 |
+
},
|
1018 |
+
{
|
1019 |
+
"epoch": 30.37,
|
1020 |
+
"learning_rate": 7.533333333333334e-05,
|
1021 |
+
"loss": 2.5916,
|
1022 |
+
"step": 80500
|
1023 |
+
},
|
1024 |
+
{
|
1025 |
+
"epoch": 30.55,
|
1026 |
+
"learning_rate": 7.511111111111111e-05,
|
1027 |
+
"loss": 2.6004,
|
1028 |
+
"step": 81000
|
1029 |
+
},
|
1030 |
+
{
|
1031 |
+
"epoch": 30.74,
|
1032 |
+
"learning_rate": 7.488888888888889e-05,
|
1033 |
+
"loss": 2.5902,
|
1034 |
+
"step": 81500
|
1035 |
+
},
|
1036 |
+
{
|
1037 |
+
"epoch": 30.93,
|
1038 |
+
"learning_rate": 7.466666666666667e-05,
|
1039 |
+
"loss": 2.5936,
|
1040 |
+
"step": 82000
|
1041 |
+
},
|
1042 |
+
{
|
1043 |
+
"epoch": 31.12,
|
1044 |
+
"learning_rate": 7.444444444444444e-05,
|
1045 |
+
"loss": 2.5939,
|
1046 |
+
"step": 82500
|
1047 |
+
},
|
1048 |
+
{
|
1049 |
+
"epoch": 31.31,
|
1050 |
+
"learning_rate": 7.422222222222223e-05,
|
1051 |
+
"loss": 2.5893,
|
1052 |
+
"step": 83000
|
1053 |
+
},
|
1054 |
+
{
|
1055 |
+
"epoch": 31.5,
|
1056 |
+
"learning_rate": 7.4e-05,
|
1057 |
+
"loss": 2.5834,
|
1058 |
+
"step": 83500
|
1059 |
+
},
|
1060 |
+
{
|
1061 |
+
"epoch": 31.69,
|
1062 |
+
"learning_rate": 7.377777777777778e-05,
|
1063 |
+
"loss": 2.5853,
|
1064 |
+
"step": 84000
|
1065 |
+
},
|
1066 |
+
{
|
1067 |
+
"epoch": 31.87,
|
1068 |
+
"learning_rate": 7.355555555555556e-05,
|
1069 |
+
"loss": 2.5825,
|
1070 |
+
"step": 84500
|
1071 |
+
},
|
1072 |
+
{
|
1073 |
+
"epoch": 32.06,
|
1074 |
+
"learning_rate": 7.333333333333333e-05,
|
1075 |
+
"loss": 2.5865,
|
1076 |
+
"step": 85000
|
1077 |
+
},
|
1078 |
+
{
|
1079 |
+
"epoch": 32.25,
|
1080 |
+
"learning_rate": 7.311111111111111e-05,
|
1081 |
+
"loss": 2.5756,
|
1082 |
+
"step": 85500
|
1083 |
+
},
|
1084 |
+
{
|
1085 |
+
"epoch": 32.44,
|
1086 |
+
"learning_rate": 7.28888888888889e-05,
|
1087 |
+
"loss": 2.5774,
|
1088 |
+
"step": 86000
|
1089 |
+
},
|
1090 |
+
{
|
1091 |
+
"epoch": 32.63,
|
1092 |
+
"learning_rate": 7.266666666666667e-05,
|
1093 |
+
"loss": 2.5792,
|
1094 |
+
"step": 86500
|
1095 |
+
},
|
1096 |
+
{
|
1097 |
+
"epoch": 32.82,
|
1098 |
+
"learning_rate": 7.244444444444445e-05,
|
1099 |
+
"loss": 2.5753,
|
1100 |
+
"step": 87000
|
1101 |
+
},
|
1102 |
+
{
|
1103 |
+
"epoch": 33.01,
|
1104 |
+
"learning_rate": 7.222222222222222e-05,
|
1105 |
+
"loss": 2.5812,
|
1106 |
+
"step": 87500
|
1107 |
+
},
|
1108 |
+
{
|
1109 |
+
"epoch": 33.01,
|
1110 |
+
"eval_loss": 2.469001531600952,
|
1111 |
+
"eval_runtime": 283.5082,
|
1112 |
+
"eval_samples_per_second": 486.236,
|
1113 |
+
"eval_steps_per_second": 3.799,
|
1114 |
+
"step": 87500
|
1115 |
+
},
|
1116 |
+
{
|
1117 |
+
"epoch": 33.19,
|
1118 |
+
"learning_rate": 7.2e-05,
|
1119 |
+
"loss": 2.571,
|
1120 |
+
"step": 88000
|
1121 |
+
},
|
1122 |
+
{
|
1123 |
+
"epoch": 33.38,
|
1124 |
+
"learning_rate": 7.177777777777777e-05,
|
1125 |
+
"loss": 2.5736,
|
1126 |
+
"step": 88500
|
1127 |
+
},
|
1128 |
+
{
|
1129 |
+
"epoch": 33.57,
|
1130 |
+
"learning_rate": 7.155555555555555e-05,
|
1131 |
+
"loss": 2.5712,
|
1132 |
+
"step": 89000
|
1133 |
+
},
|
1134 |
+
{
|
1135 |
+
"epoch": 33.76,
|
1136 |
+
"learning_rate": 7.133333333333334e-05,
|
1137 |
+
"loss": 2.5728,
|
1138 |
+
"step": 89500
|
1139 |
+
},
|
1140 |
+
{
|
1141 |
+
"epoch": 33.95,
|
1142 |
+
"learning_rate": 7.111111111111112e-05,
|
1143 |
+
"loss": 2.5676,
|
1144 |
+
"step": 90000
|
1145 |
+
},
|
1146 |
+
{
|
1147 |
+
"epoch": 34.14,
|
1148 |
+
"learning_rate": 7.088888888888889e-05,
|
1149 |
+
"loss": 2.5682,
|
1150 |
+
"step": 90500
|
1151 |
+
},
|
1152 |
+
{
|
1153 |
+
"epoch": 34.33,
|
1154 |
+
"learning_rate": 7.066666666666667e-05,
|
1155 |
+
"loss": 2.5662,
|
1156 |
+
"step": 91000
|
1157 |
+
},
|
1158 |
+
{
|
1159 |
+
"epoch": 34.52,
|
1160 |
+
"learning_rate": 7.044444444444444e-05,
|
1161 |
+
"loss": 2.5671,
|
1162 |
+
"step": 91500
|
1163 |
+
},
|
1164 |
+
{
|
1165 |
+
"epoch": 34.7,
|
1166 |
+
"learning_rate": 7.022222222222222e-05,
|
1167 |
+
"loss": 2.5667,
|
1168 |
+
"step": 92000
|
1169 |
+
},
|
1170 |
+
{
|
1171 |
+
"epoch": 34.89,
|
1172 |
+
"learning_rate": 7e-05,
|
1173 |
+
"loss": 2.5619,
|
1174 |
+
"step": 92500
|
1175 |
+
},
|
1176 |
+
{
|
1177 |
+
"epoch": 35.08,
|
1178 |
+
"learning_rate": 6.977777777777779e-05,
|
1179 |
+
"loss": 2.5639,
|
1180 |
+
"step": 93000
|
1181 |
+
},
|
1182 |
+
{
|
1183 |
+
"epoch": 35.27,
|
1184 |
+
"learning_rate": 6.955555555555556e-05,
|
1185 |
+
"loss": 2.5581,
|
1186 |
+
"step": 93500
|
1187 |
+
},
|
1188 |
+
{
|
1189 |
+
"epoch": 35.46,
|
1190 |
+
"learning_rate": 6.933333333333334e-05,
|
1191 |
+
"loss": 2.5586,
|
1192 |
+
"step": 94000
|
1193 |
+
},
|
1194 |
+
{
|
1195 |
+
"epoch": 35.65,
|
1196 |
+
"learning_rate": 6.911111111111111e-05,
|
1197 |
+
"loss": 2.5612,
|
1198 |
+
"step": 94500
|
1199 |
+
},
|
1200 |
+
{
|
1201 |
+
"epoch": 35.84,
|
1202 |
+
"learning_rate": 6.88888888888889e-05,
|
1203 |
+
"loss": 2.5552,
|
1204 |
+
"step": 95000
|
1205 |
+
},
|
1206 |
+
{
|
1207 |
+
"epoch": 36.02,
|
1208 |
+
"learning_rate": 6.866666666666666e-05,
|
1209 |
+
"loss": 2.5598,
|
1210 |
+
"step": 95500
|
1211 |
+
},
|
1212 |
+
{
|
1213 |
+
"epoch": 36.21,
|
1214 |
+
"learning_rate": 6.844444444444445e-05,
|
1215 |
+
"loss": 2.5479,
|
1216 |
+
"step": 96000
|
1217 |
+
},
|
1218 |
+
{
|
1219 |
+
"epoch": 36.4,
|
1220 |
+
"learning_rate": 6.822222222222222e-05,
|
1221 |
+
"loss": 2.5545,
|
1222 |
+
"step": 96500
|
1223 |
+
},
|
1224 |
+
{
|
1225 |
+
"epoch": 36.59,
|
1226 |
+
"learning_rate": 6.800000000000001e-05,
|
1227 |
+
"loss": 2.5506,
|
1228 |
+
"step": 97000
|
1229 |
+
},
|
1230 |
+
{
|
1231 |
+
"epoch": 36.78,
|
1232 |
+
"learning_rate": 6.777777777777778e-05,
|
1233 |
+
"loss": 2.5526,
|
1234 |
+
"step": 97500
|
1235 |
+
},
|
1236 |
+
{
|
1237 |
+
"epoch": 36.97,
|
1238 |
+
"learning_rate": 6.755555555555557e-05,
|
1239 |
+
"loss": 2.552,
|
1240 |
+
"step": 98000
|
1241 |
+
},
|
1242 |
+
{
|
1243 |
+
"epoch": 37.16,
|
1244 |
+
"learning_rate": 6.733333333333333e-05,
|
1245 |
+
"loss": 2.5493,
|
1246 |
+
"step": 98500
|
1247 |
+
},
|
1248 |
+
{
|
1249 |
+
"epoch": 37.34,
|
1250 |
+
"learning_rate": 6.711111111111112e-05,
|
1251 |
+
"loss": 2.5474,
|
1252 |
+
"step": 99000
|
1253 |
+
},
|
1254 |
+
{
|
1255 |
+
"epoch": 37.53,
|
1256 |
+
"learning_rate": 6.688888888888889e-05,
|
1257 |
+
"loss": 2.5475,
|
1258 |
+
"step": 99500
|
1259 |
+
},
|
1260 |
+
{
|
1261 |
+
"epoch": 37.72,
|
1262 |
+
"learning_rate": 6.666666666666667e-05,
|
1263 |
+
"loss": 2.5447,
|
1264 |
+
"step": 100000
|
1265 |
+
},
|
1266 |
+
{
|
1267 |
+
"epoch": 37.72,
|
1268 |
+
"eval_loss": 2.4395639896392822,
|
1269 |
+
"eval_runtime": 283.6209,
|
1270 |
+
"eval_samples_per_second": 486.043,
|
1271 |
+
"eval_steps_per_second": 3.797,
|
1272 |
+
"step": 100000
|
1273 |
+
},
|
1274 |
+
{
|
1275 |
+
"epoch": 37.91,
|
1276 |
+
"learning_rate": 6.644444444444444e-05,
|
1277 |
+
"loss": 2.5444,
|
1278 |
+
"step": 100500
|
1279 |
+
},
|
1280 |
+
{
|
1281 |
+
"epoch": 38.1,
|
1282 |
+
"learning_rate": 6.622222222222224e-05,
|
1283 |
+
"loss": 2.5467,
|
1284 |
+
"step": 101000
|
1285 |
+
},
|
1286 |
+
{
|
1287 |
+
"epoch": 38.29,
|
1288 |
+
"learning_rate": 6.6e-05,
|
1289 |
+
"loss": 2.537,
|
1290 |
+
"step": 101500
|
1291 |
+
},
|
1292 |
+
{
|
1293 |
+
"epoch": 38.48,
|
1294 |
+
"learning_rate": 6.577777777777779e-05,
|
1295 |
+
"loss": 2.5344,
|
1296 |
+
"step": 102000
|
1297 |
+
},
|
1298 |
+
{
|
1299 |
+
"epoch": 38.66,
|
1300 |
+
"learning_rate": 6.555555555555556e-05,
|
1301 |
+
"loss": 2.5431,
|
1302 |
+
"step": 102500
|
1303 |
+
},
|
1304 |
+
{
|
1305 |
+
"epoch": 38.85,
|
1306 |
+
"learning_rate": 6.533333333333334e-05,
|
1307 |
+
"loss": 2.5435,
|
1308 |
+
"step": 103000
|
1309 |
+
},
|
1310 |
+
{
|
1311 |
+
"epoch": 39.04,
|
1312 |
+
"learning_rate": 6.511111111111111e-05,
|
1313 |
+
"loss": 2.5434,
|
1314 |
+
"step": 103500
|
1315 |
+
},
|
1316 |
+
{
|
1317 |
+
"epoch": 39.23,
|
1318 |
+
"learning_rate": 6.488888888888889e-05,
|
1319 |
+
"loss": 2.5297,
|
1320 |
+
"step": 104000
|
1321 |
+
},
|
1322 |
+
{
|
1323 |
+
"epoch": 39.42,
|
1324 |
+
"learning_rate": 6.466666666666666e-05,
|
1325 |
+
"loss": 2.5408,
|
1326 |
+
"step": 104500
|
1327 |
+
},
|
1328 |
+
{
|
1329 |
+
"epoch": 39.61,
|
1330 |
+
"learning_rate": 6.444444444444446e-05,
|
1331 |
+
"loss": 2.5298,
|
1332 |
+
"step": 105000
|
1333 |
+
},
|
1334 |
+
{
|
1335 |
+
"epoch": 39.8,
|
1336 |
+
"learning_rate": 6.422222222222223e-05,
|
1337 |
+
"loss": 2.5358,
|
1338 |
+
"step": 105500
|
1339 |
+
},
|
1340 |
+
{
|
1341 |
+
"epoch": 39.98,
|
1342 |
+
"learning_rate": 6.400000000000001e-05,
|
1343 |
+
"loss": 2.5379,
|
1344 |
+
"step": 106000
|
1345 |
+
},
|
1346 |
+
{
|
1347 |
+
"epoch": 40.17,
|
1348 |
+
"learning_rate": 6.377777777777778e-05,
|
1349 |
+
"loss": 2.5357,
|
1350 |
+
"step": 106500
|
1351 |
+
},
|
1352 |
+
{
|
1353 |
+
"epoch": 40.36,
|
1354 |
+
"learning_rate": 6.355555555555556e-05,
|
1355 |
+
"loss": 2.5268,
|
1356 |
+
"step": 107000
|
1357 |
+
},
|
1358 |
+
{
|
1359 |
+
"epoch": 40.55,
|
1360 |
+
"learning_rate": 6.333333333333333e-05,
|
1361 |
+
"loss": 2.5263,
|
1362 |
+
"step": 107500
|
1363 |
+
},
|
1364 |
+
{
|
1365 |
+
"epoch": 40.74,
|
1366 |
+
"learning_rate": 6.311111111111112e-05,
|
1367 |
+
"loss": 2.5329,
|
1368 |
+
"step": 108000
|
1369 |
+
},
|
1370 |
+
{
|
1371 |
+
"epoch": 40.93,
|
1372 |
+
"learning_rate": 6.28888888888889e-05,
|
1373 |
+
"loss": 2.533,
|
1374 |
+
"step": 108500
|
1375 |
+
},
|
1376 |
+
{
|
1377 |
+
"epoch": 41.12,
|
1378 |
+
"learning_rate": 6.266666666666667e-05,
|
1379 |
+
"loss": 2.5282,
|
1380 |
+
"step": 109000
|
1381 |
+
},
|
1382 |
+
{
|
1383 |
+
"epoch": 41.31,
|
1384 |
+
"learning_rate": 6.244444444444445e-05,
|
1385 |
+
"loss": 2.5227,
|
1386 |
+
"step": 109500
|
1387 |
+
},
|
1388 |
+
{
|
1389 |
+
"epoch": 41.49,
|
1390 |
+
"learning_rate": 6.222222222222222e-05,
|
1391 |
+
"loss": 2.5279,
|
1392 |
+
"step": 110000
|
1393 |
+
},
|
1394 |
+
{
|
1395 |
+
"epoch": 41.68,
|
1396 |
+
"learning_rate": 6.2e-05,
|
1397 |
+
"loss": 2.5272,
|
1398 |
+
"step": 110500
|
1399 |
+
},
|
1400 |
+
{
|
1401 |
+
"epoch": 41.87,
|
1402 |
+
"learning_rate": 6.177777777777779e-05,
|
1403 |
+
"loss": 2.522,
|
1404 |
+
"step": 111000
|
1405 |
+
},
|
1406 |
+
{
|
1407 |
+
"epoch": 42.06,
|
1408 |
+
"learning_rate": 6.155555555555555e-05,
|
1409 |
+
"loss": 2.5253,
|
1410 |
+
"step": 111500
|
1411 |
+
},
|
1412 |
+
{
|
1413 |
+
"epoch": 42.25,
|
1414 |
+
"learning_rate": 6.133333333333334e-05,
|
1415 |
+
"loss": 2.5215,
|
1416 |
+
"step": 112000
|
1417 |
+
},
|
1418 |
+
{
|
1419 |
+
"epoch": 42.44,
|
1420 |
+
"learning_rate": 6.111111111111112e-05,
|
1421 |
+
"loss": 2.5205,
|
1422 |
+
"step": 112500
|
1423 |
+
},
|
1424 |
+
{
|
1425 |
+
"epoch": 42.44,
|
1426 |
+
"eval_loss": 2.419991970062256,
|
1427 |
+
"eval_runtime": 283.6709,
|
1428 |
+
"eval_samples_per_second": 485.957,
|
1429 |
+
"eval_steps_per_second": 3.797,
|
1430 |
+
"step": 112500
|
1431 |
+
},
|
1432 |
+
{
|
1433 |
+
"epoch": 42.63,
|
1434 |
+
"learning_rate": 6.08888888888889e-05,
|
1435 |
+
"loss": 2.5194,
|
1436 |
+
"step": 113000
|
1437 |
+
},
|
1438 |
+
{
|
1439 |
+
"epoch": 42.81,
|
1440 |
+
"learning_rate": 6.066666666666667e-05,
|
1441 |
+
"loss": 2.5179,
|
1442 |
+
"step": 113500
|
1443 |
+
},
|
1444 |
+
{
|
1445 |
+
"epoch": 43.0,
|
1446 |
+
"learning_rate": 6.044444444444445e-05,
|
1447 |
+
"loss": 2.526,
|
1448 |
+
"step": 114000
|
1449 |
+
},
|
1450 |
+
{
|
1451 |
+
"epoch": 43.19,
|
1452 |
+
"learning_rate": 6.0222222222222225e-05,
|
1453 |
+
"loss": 2.5172,
|
1454 |
+
"step": 114500
|
1455 |
+
},
|
1456 |
+
{
|
1457 |
+
"epoch": 43.38,
|
1458 |
+
"learning_rate": 6e-05,
|
1459 |
+
"loss": 2.5114,
|
1460 |
+
"step": 115000
|
1461 |
+
},
|
1462 |
+
{
|
1463 |
+
"epoch": 43.57,
|
1464 |
+
"learning_rate": 5.977777777777778e-05,
|
1465 |
+
"loss": 2.5179,
|
1466 |
+
"step": 115500
|
1467 |
+
},
|
1468 |
+
{
|
1469 |
+
"epoch": 43.76,
|
1470 |
+
"learning_rate": 5.9555555555555554e-05,
|
1471 |
+
"loss": 2.5189,
|
1472 |
+
"step": 116000
|
1473 |
+
},
|
1474 |
+
{
|
1475 |
+
"epoch": 43.95,
|
1476 |
+
"learning_rate": 5.9333333333333343e-05,
|
1477 |
+
"loss": 2.5202,
|
1478 |
+
"step": 116500
|
1479 |
+
},
|
1480 |
+
{
|
1481 |
+
"epoch": 44.13,
|
1482 |
+
"learning_rate": 5.911111111111112e-05,
|
1483 |
+
"loss": 2.517,
|
1484 |
+
"step": 117000
|
1485 |
+
},
|
1486 |
+
{
|
1487 |
+
"epoch": 44.32,
|
1488 |
+
"learning_rate": 5.8888888888888896e-05,
|
1489 |
+
"loss": 2.5151,
|
1490 |
+
"step": 117500
|
1491 |
+
},
|
1492 |
+
{
|
1493 |
+
"epoch": 44.51,
|
1494 |
+
"learning_rate": 5.866666666666667e-05,
|
1495 |
+
"loss": 2.5101,
|
1496 |
+
"step": 118000
|
1497 |
+
},
|
1498 |
+
{
|
1499 |
+
"epoch": 44.7,
|
1500 |
+
"learning_rate": 5.844444444444445e-05,
|
1501 |
+
"loss": 2.511,
|
1502 |
+
"step": 118500
|
1503 |
+
},
|
1504 |
+
{
|
1505 |
+
"epoch": 44.89,
|
1506 |
+
"learning_rate": 5.8222222222222224e-05,
|
1507 |
+
"loss": 2.5105,
|
1508 |
+
"step": 119000
|
1509 |
+
},
|
1510 |
+
{
|
1511 |
+
"epoch": 45.08,
|
1512 |
+
"learning_rate": 5.8e-05,
|
1513 |
+
"loss": 2.5107,
|
1514 |
+
"step": 119500
|
1515 |
+
},
|
1516 |
+
{
|
1517 |
+
"epoch": 45.27,
|
1518 |
+
"learning_rate": 5.7777777777777776e-05,
|
1519 |
+
"loss": 2.5089,
|
1520 |
+
"step": 120000
|
1521 |
+
},
|
1522 |
+
{
|
1523 |
+
"epoch": 45.45,
|
1524 |
+
"learning_rate": 5.755555555555556e-05,
|
1525 |
+
"loss": 2.5051,
|
1526 |
+
"step": 120500
|
1527 |
+
},
|
1528 |
+
{
|
1529 |
+
"epoch": 45.64,
|
1530 |
+
"learning_rate": 5.7333333333333336e-05,
|
1531 |
+
"loss": 2.5083,
|
1532 |
+
"step": 121000
|
1533 |
+
},
|
1534 |
+
{
|
1535 |
+
"epoch": 45.83,
|
1536 |
+
"learning_rate": 5.711111111111112e-05,
|
1537 |
+
"loss": 2.5072,
|
1538 |
+
"step": 121500
|
1539 |
+
},
|
1540 |
+
{
|
1541 |
+
"epoch": 46.02,
|
1542 |
+
"learning_rate": 5.6888888888888895e-05,
|
1543 |
+
"loss": 2.5107,
|
1544 |
+
"step": 122000
|
1545 |
+
},
|
1546 |
+
{
|
1547 |
+
"epoch": 46.21,
|
1548 |
+
"learning_rate": 5.666666666666667e-05,
|
1549 |
+
"loss": 2.5036,
|
1550 |
+
"step": 122500
|
1551 |
+
},
|
1552 |
+
{
|
1553 |
+
"epoch": 46.4,
|
1554 |
+
"learning_rate": 5.644444444444445e-05,
|
1555 |
+
"loss": 2.5051,
|
1556 |
+
"step": 123000
|
1557 |
+
},
|
1558 |
+
{
|
1559 |
+
"epoch": 46.59,
|
1560 |
+
"learning_rate": 5.622222222222222e-05,
|
1561 |
+
"loss": 2.5039,
|
1562 |
+
"step": 123500
|
1563 |
+
},
|
1564 |
+
{
|
1565 |
+
"epoch": 46.77,
|
1566 |
+
"learning_rate": 5.6000000000000006e-05,
|
1567 |
+
"loss": 2.4972,
|
1568 |
+
"step": 124000
|
1569 |
+
},
|
1570 |
+
{
|
1571 |
+
"epoch": 46.96,
|
1572 |
+
"learning_rate": 5.577777777777778e-05,
|
1573 |
+
"loss": 2.5073,
|
1574 |
+
"step": 124500
|
1575 |
+
},
|
1576 |
+
{
|
1577 |
+
"epoch": 47.15,
|
1578 |
+
"learning_rate": 5.555555555555556e-05,
|
1579 |
+
"loss": 2.5052,
|
1580 |
+
"step": 125000
|
1581 |
+
},
|
1582 |
+
{
|
1583 |
+
"epoch": 47.15,
|
1584 |
+
"eval_loss": 2.4018545150756836,
|
1585 |
+
"eval_runtime": 283.8972,
|
1586 |
+
"eval_samples_per_second": 485.57,
|
1587 |
+
"eval_steps_per_second": 3.794,
|
1588 |
+
"step": 125000
|
1589 |
+
},
|
1590 |
+
{
|
1591 |
+
"epoch": 47.34,
|
1592 |
+
"learning_rate": 5.5333333333333334e-05,
|
1593 |
+
"loss": 2.5015,
|
1594 |
+
"step": 125500
|
1595 |
+
},
|
1596 |
+
{
|
1597 |
+
"epoch": 47.53,
|
1598 |
+
"learning_rate": 5.511111111111111e-05,
|
1599 |
+
"loss": 2.4983,
|
1600 |
+
"step": 126000
|
1601 |
+
},
|
1602 |
+
{
|
1603 |
+
"epoch": 47.72,
|
1604 |
+
"learning_rate": 5.488888888888889e-05,
|
1605 |
+
"loss": 2.5022,
|
1606 |
+
"step": 126500
|
1607 |
+
},
|
1608 |
+
{
|
1609 |
+
"epoch": 47.91,
|
1610 |
+
"learning_rate": 5.466666666666666e-05,
|
1611 |
+
"loss": 2.4932,
|
1612 |
+
"step": 127000
|
1613 |
+
},
|
1614 |
+
{
|
1615 |
+
"epoch": 48.1,
|
1616 |
+
"learning_rate": 5.4444444444444446e-05,
|
1617 |
+
"loss": 2.5007,
|
1618 |
+
"step": 127500
|
1619 |
+
},
|
1620 |
+
{
|
1621 |
+
"epoch": 48.28,
|
1622 |
+
"learning_rate": 5.422222222222223e-05,
|
1623 |
+
"loss": 2.4944,
|
1624 |
+
"step": 128000
|
1625 |
+
},
|
1626 |
+
{
|
1627 |
+
"epoch": 48.47,
|
1628 |
+
"learning_rate": 5.4000000000000005e-05,
|
1629 |
+
"loss": 2.4964,
|
1630 |
+
"step": 128500
|
1631 |
+
},
|
1632 |
+
{
|
1633 |
+
"epoch": 48.66,
|
1634 |
+
"learning_rate": 5.377777777777778e-05,
|
1635 |
+
"loss": 2.4976,
|
1636 |
+
"step": 129000
|
1637 |
+
},
|
1638 |
+
{
|
1639 |
+
"epoch": 48.85,
|
1640 |
+
"learning_rate": 5.355555555555556e-05,
|
1641 |
+
"loss": 2.4948,
|
1642 |
+
"step": 129500
|
1643 |
+
},
|
1644 |
+
{
|
1645 |
+
"epoch": 49.04,
|
1646 |
+
"learning_rate": 5.333333333333333e-05,
|
1647 |
+
"loss": 2.5018,
|
1648 |
+
"step": 130000
|
1649 |
+
},
|
1650 |
+
{
|
1651 |
+
"epoch": 49.23,
|
1652 |
+
"learning_rate": 5.311111111111111e-05,
|
1653 |
+
"loss": 2.4919,
|
1654 |
+
"step": 130500
|
1655 |
+
},
|
1656 |
+
{
|
1657 |
+
"epoch": 49.42,
|
1658 |
+
"learning_rate": 5.2888888888888885e-05,
|
1659 |
+
"loss": 2.4925,
|
1660 |
+
"step": 131000
|
1661 |
+
},
|
1662 |
+
{
|
1663 |
+
"epoch": 49.6,
|
1664 |
+
"learning_rate": 5.266666666666666e-05,
|
1665 |
+
"loss": 2.491,
|
1666 |
+
"step": 131500
|
1667 |
+
},
|
1668 |
+
{
|
1669 |
+
"epoch": 49.79,
|
1670 |
+
"learning_rate": 5.244444444444445e-05,
|
1671 |
+
"loss": 2.4932,
|
1672 |
+
"step": 132000
|
1673 |
+
},
|
1674 |
+
{
|
1675 |
+
"epoch": 49.98,
|
1676 |
+
"learning_rate": 5.222222222222223e-05,
|
1677 |
+
"loss": 2.4892,
|
1678 |
+
"step": 132500
|
1679 |
+
},
|
1680 |
+
{
|
1681 |
+
"epoch": 50.17,
|
1682 |
+
"learning_rate": 5.2000000000000004e-05,
|
1683 |
+
"loss": 2.4877,
|
1684 |
+
"step": 133000
|
1685 |
+
},
|
1686 |
+
{
|
1687 |
+
"epoch": 50.36,
|
1688 |
+
"learning_rate": 5.177777777777778e-05,
|
1689 |
+
"loss": 2.4899,
|
1690 |
+
"step": 133500
|
1691 |
+
},
|
1692 |
+
{
|
1693 |
+
"epoch": 50.55,
|
1694 |
+
"learning_rate": 5.1555555555555556e-05,
|
1695 |
+
"loss": 2.49,
|
1696 |
+
"step": 134000
|
1697 |
+
},
|
1698 |
+
{
|
1699 |
+
"epoch": 50.74,
|
1700 |
+
"learning_rate": 5.133333333333333e-05,
|
1701 |
+
"loss": 2.4843,
|
1702 |
+
"step": 134500
|
1703 |
+
},
|
1704 |
+
{
|
1705 |
+
"epoch": 50.92,
|
1706 |
+
"learning_rate": 5.111111111111111e-05,
|
1707 |
+
"loss": 2.4901,
|
1708 |
+
"step": 135000
|
1709 |
+
},
|
1710 |
+
{
|
1711 |
+
"epoch": 51.11,
|
1712 |
+
"learning_rate": 5.0888888888888884e-05,
|
1713 |
+
"loss": 2.4919,
|
1714 |
+
"step": 135500
|
1715 |
+
},
|
1716 |
+
{
|
1717 |
+
"epoch": 51.3,
|
1718 |
+
"learning_rate": 5.0666666666666674e-05,
|
1719 |
+
"loss": 2.4862,
|
1720 |
+
"step": 136000
|
1721 |
+
},
|
1722 |
+
{
|
1723 |
+
"epoch": 51.49,
|
1724 |
+
"learning_rate": 5.044444444444445e-05,
|
1725 |
+
"loss": 2.4813,
|
1726 |
+
"step": 136500
|
1727 |
+
},
|
1728 |
+
{
|
1729 |
+
"epoch": 51.68,
|
1730 |
+
"learning_rate": 5.0222222222222226e-05,
|
1731 |
+
"loss": 2.4818,
|
1732 |
+
"step": 137000
|
1733 |
+
},
|
1734 |
+
{
|
1735 |
+
"epoch": 51.87,
|
1736 |
+
"learning_rate": 5e-05,
|
1737 |
+
"loss": 2.4834,
|
1738 |
+
"step": 137500
|
1739 |
+
},
|
1740 |
+
{
|
1741 |
+
"epoch": 51.87,
|
1742 |
+
"eval_loss": 2.3841142654418945,
|
1743 |
+
"eval_runtime": 283.7333,
|
1744 |
+
"eval_samples_per_second": 485.851,
|
1745 |
+
"eval_steps_per_second": 3.796,
|
1746 |
+
"step": 137500
|
1747 |
+
},
|
1748 |
+
{
|
1749 |
+
"epoch": 52.06,
|
1750 |
+
"learning_rate": 4.977777777777778e-05,
|
1751 |
+
"loss": 2.4823,
|
1752 |
+
"step": 138000
|
1753 |
+
},
|
1754 |
+
{
|
1755 |
+
"epoch": 52.24,
|
1756 |
+
"learning_rate": 4.955555555555556e-05,
|
1757 |
+
"loss": 2.4773,
|
1758 |
+
"step": 138500
|
1759 |
+
},
|
1760 |
+
{
|
1761 |
+
"epoch": 52.43,
|
1762 |
+
"learning_rate": 4.933333333333334e-05,
|
1763 |
+
"loss": 2.4818,
|
1764 |
+
"step": 139000
|
1765 |
+
},
|
1766 |
+
{
|
1767 |
+
"epoch": 52.62,
|
1768 |
+
"learning_rate": 4.9111111111111114e-05,
|
1769 |
+
"loss": 2.4807,
|
1770 |
+
"step": 139500
|
1771 |
+
},
|
1772 |
+
{
|
1773 |
+
"epoch": 52.81,
|
1774 |
+
"learning_rate": 4.888888888888889e-05,
|
1775 |
+
"loss": 2.4801,
|
1776 |
+
"step": 140000
|
1777 |
+
},
|
1778 |
+
{
|
1779 |
+
"epoch": 53.0,
|
1780 |
+
"learning_rate": 4.866666666666667e-05,
|
1781 |
+
"loss": 2.4808,
|
1782 |
+
"step": 140500
|
1783 |
+
},
|
1784 |
+
{
|
1785 |
+
"epoch": 53.19,
|
1786 |
+
"learning_rate": 4.844444444444445e-05,
|
1787 |
+
"loss": 2.4788,
|
1788 |
+
"step": 141000
|
1789 |
+
},
|
1790 |
+
{
|
1791 |
+
"epoch": 53.38,
|
1792 |
+
"learning_rate": 4.8222222222222225e-05,
|
1793 |
+
"loss": 2.478,
|
1794 |
+
"step": 141500
|
1795 |
+
},
|
1796 |
+
{
|
1797 |
+
"epoch": 53.56,
|
1798 |
+
"learning_rate": 4.8e-05,
|
1799 |
+
"loss": 2.4758,
|
1800 |
+
"step": 142000
|
1801 |
+
},
|
1802 |
+
{
|
1803 |
+
"epoch": 53.75,
|
1804 |
+
"learning_rate": 4.7777777777777784e-05,
|
1805 |
+
"loss": 2.4792,
|
1806 |
+
"step": 142500
|
1807 |
+
},
|
1808 |
+
{
|
1809 |
+
"epoch": 53.94,
|
1810 |
+
"learning_rate": 4.755555555555556e-05,
|
1811 |
+
"loss": 2.4781,
|
1812 |
+
"step": 143000
|
1813 |
+
},
|
1814 |
+
{
|
1815 |
+
"epoch": 54.13,
|
1816 |
+
"learning_rate": 4.7333333333333336e-05,
|
1817 |
+
"loss": 2.4773,
|
1818 |
+
"step": 143500
|
1819 |
+
},
|
1820 |
+
{
|
1821 |
+
"epoch": 54.32,
|
1822 |
+
"learning_rate": 4.711111111111111e-05,
|
1823 |
+
"loss": 2.4725,
|
1824 |
+
"step": 144000
|
1825 |
+
},
|
1826 |
+
{
|
1827 |
+
"epoch": 54.51,
|
1828 |
+
"learning_rate": 4.6888888888888895e-05,
|
1829 |
+
"loss": 2.4748,
|
1830 |
+
"step": 144500
|
1831 |
+
},
|
1832 |
+
{
|
1833 |
+
"epoch": 54.7,
|
1834 |
+
"learning_rate": 4.666666666666667e-05,
|
1835 |
+
"loss": 2.4751,
|
1836 |
+
"step": 145000
|
1837 |
+
},
|
1838 |
+
{
|
1839 |
+
"epoch": 54.88,
|
1840 |
+
"learning_rate": 4.644444444444445e-05,
|
1841 |
+
"loss": 2.47,
|
1842 |
+
"step": 145500
|
1843 |
+
},
|
1844 |
+
{
|
1845 |
+
"epoch": 55.07,
|
1846 |
+
"learning_rate": 4.6222222222222224e-05,
|
1847 |
+
"loss": 2.4796,
|
1848 |
+
"step": 146000
|
1849 |
+
},
|
1850 |
+
{
|
1851 |
+
"epoch": 55.26,
|
1852 |
+
"learning_rate": 4.600000000000001e-05,
|
1853 |
+
"loss": 2.4717,
|
1854 |
+
"step": 146500
|
1855 |
+
},
|
1856 |
+
{
|
1857 |
+
"epoch": 55.45,
|
1858 |
+
"learning_rate": 4.577777777777778e-05,
|
1859 |
+
"loss": 2.4759,
|
1860 |
+
"step": 147000
|
1861 |
+
},
|
1862 |
+
{
|
1863 |
+
"epoch": 55.64,
|
1864 |
+
"learning_rate": 4.555555555555556e-05,
|
1865 |
+
"loss": 2.4696,
|
1866 |
+
"step": 147500
|
1867 |
+
},
|
1868 |
+
{
|
1869 |
+
"epoch": 55.83,
|
1870 |
+
"learning_rate": 4.5333333333333335e-05,
|
1871 |
+
"loss": 2.4707,
|
1872 |
+
"step": 148000
|
1873 |
+
},
|
1874 |
+
{
|
1875 |
+
"epoch": 56.02,
|
1876 |
+
"learning_rate": 4.511111111111112e-05,
|
1877 |
+
"loss": 2.4664,
|
1878 |
+
"step": 148500
|
1879 |
+
},
|
1880 |
+
{
|
1881 |
+
"epoch": 56.21,
|
1882 |
+
"learning_rate": 4.4888888888888894e-05,
|
1883 |
+
"loss": 2.4663,
|
1884 |
+
"step": 149000
|
1885 |
+
},
|
1886 |
+
{
|
1887 |
+
"epoch": 56.39,
|
1888 |
+
"learning_rate": 4.466666666666667e-05,
|
1889 |
+
"loss": 2.4679,
|
1890 |
+
"step": 149500
|
1891 |
+
},
|
1892 |
+
{
|
1893 |
+
"epoch": 56.58,
|
1894 |
+
"learning_rate": 4.4444444444444447e-05,
|
1895 |
+
"loss": 2.4694,
|
1896 |
+
"step": 150000
|
1897 |
+
},
|
1898 |
+
{
|
1899 |
+
"epoch": 56.58,
|
1900 |
+
"eval_loss": 2.371152877807617,
|
1901 |
+
"eval_runtime": 283.5132,
|
1902 |
+
"eval_samples_per_second": 486.228,
|
1903 |
+
"eval_steps_per_second": 3.799,
|
1904 |
+
"step": 150000
|
1905 |
+
},
|
1906 |
+
{
|
1907 |
+
"epoch": 56.77,
|
1908 |
+
"learning_rate": 4.422222222222222e-05,
|
1909 |
+
"loss": 2.4619,
|
1910 |
+
"step": 150500
|
1911 |
+
},
|
1912 |
+
{
|
1913 |
+
"epoch": 56.96,
|
1914 |
+
"learning_rate": 4.4000000000000006e-05,
|
1915 |
+
"loss": 2.4686,
|
1916 |
+
"step": 151000
|
1917 |
+
},
|
1918 |
+
{
|
1919 |
+
"epoch": 57.15,
|
1920 |
+
"learning_rate": 4.377777777777778e-05,
|
1921 |
+
"loss": 2.4715,
|
1922 |
+
"step": 151500
|
1923 |
+
},
|
1924 |
+
{
|
1925 |
+
"epoch": 57.34,
|
1926 |
+
"learning_rate": 4.355555555555556e-05,
|
1927 |
+
"loss": 2.4619,
|
1928 |
+
"step": 152000
|
1929 |
+
},
|
1930 |
+
{
|
1931 |
+
"epoch": 57.53,
|
1932 |
+
"learning_rate": 4.3333333333333334e-05,
|
1933 |
+
"loss": 2.463,
|
1934 |
+
"step": 152500
|
1935 |
+
},
|
1936 |
+
{
|
1937 |
+
"epoch": 57.71,
|
1938 |
+
"learning_rate": 4.311111111111111e-05,
|
1939 |
+
"loss": 2.4609,
|
1940 |
+
"step": 153000
|
1941 |
+
},
|
1942 |
+
{
|
1943 |
+
"epoch": 57.9,
|
1944 |
+
"learning_rate": 4.2888888888888886e-05,
|
1945 |
+
"loss": 2.4646,
|
1946 |
+
"step": 153500
|
1947 |
+
},
|
1948 |
+
{
|
1949 |
+
"epoch": 58.09,
|
1950 |
+
"learning_rate": 4.266666666666667e-05,
|
1951 |
+
"loss": 2.4658,
|
1952 |
+
"step": 154000
|
1953 |
+
},
|
1954 |
+
{
|
1955 |
+
"epoch": 58.28,
|
1956 |
+
"learning_rate": 4.2444444444444445e-05,
|
1957 |
+
"loss": 2.4614,
|
1958 |
+
"step": 154500
|
1959 |
+
},
|
1960 |
+
{
|
1961 |
+
"epoch": 58.47,
|
1962 |
+
"learning_rate": 4.222222222222222e-05,
|
1963 |
+
"loss": 2.4646,
|
1964 |
+
"step": 155000
|
1965 |
+
},
|
1966 |
+
{
|
1967 |
+
"epoch": 58.66,
|
1968 |
+
"learning_rate": 4.2e-05,
|
1969 |
+
"loss": 2.4629,
|
1970 |
+
"step": 155500
|
1971 |
+
},
|
1972 |
+
{
|
1973 |
+
"epoch": 58.85,
|
1974 |
+
"learning_rate": 4.177777777777778e-05,
|
1975 |
+
"loss": 2.4587,
|
1976 |
+
"step": 156000
|
1977 |
+
},
|
1978 |
+
{
|
1979 |
+
"epoch": 59.03,
|
1980 |
+
"learning_rate": 4.155555555555556e-05,
|
1981 |
+
"loss": 2.466,
|
1982 |
+
"step": 156500
|
1983 |
+
},
|
1984 |
+
{
|
1985 |
+
"epoch": 59.22,
|
1986 |
+
"learning_rate": 4.133333333333333e-05,
|
1987 |
+
"loss": 2.452,
|
1988 |
+
"step": 157000
|
1989 |
+
},
|
1990 |
+
{
|
1991 |
+
"epoch": 59.41,
|
1992 |
+
"learning_rate": 4.111111111111111e-05,
|
1993 |
+
"loss": 2.4608,
|
1994 |
+
"step": 157500
|
1995 |
+
},
|
1996 |
+
{
|
1997 |
+
"epoch": 59.6,
|
1998 |
+
"learning_rate": 4.088888888888889e-05,
|
1999 |
+
"loss": 2.4629,
|
2000 |
+
"step": 158000
|
2001 |
+
},
|
2002 |
+
{
|
2003 |
+
"epoch": 59.79,
|
2004 |
+
"learning_rate": 4.066666666666667e-05,
|
2005 |
+
"loss": 2.4605,
|
2006 |
+
"step": 158500
|
2007 |
+
},
|
2008 |
+
{
|
2009 |
+
"epoch": 59.98,
|
2010 |
+
"learning_rate": 4.0444444444444444e-05,
|
2011 |
+
"loss": 2.4576,
|
2012 |
+
"step": 159000
|
2013 |
+
},
|
2014 |
+
{
|
2015 |
+
"epoch": 60.17,
|
2016 |
+
"learning_rate": 4.022222222222222e-05,
|
2017 |
+
"loss": 2.4599,
|
2018 |
+
"step": 159500
|
2019 |
+
},
|
2020 |
+
{
|
2021 |
+
"epoch": 60.35,
|
2022 |
+
"learning_rate": 4e-05,
|
2023 |
+
"loss": 2.4567,
|
2024 |
+
"step": 160000
|
2025 |
+
},
|
2026 |
+
{
|
2027 |
+
"epoch": 60.54,
|
2028 |
+
"learning_rate": 3.977777777777778e-05,
|
2029 |
+
"loss": 2.4604,
|
2030 |
+
"step": 160500
|
2031 |
+
},
|
2032 |
+
{
|
2033 |
+
"epoch": 60.73,
|
2034 |
+
"learning_rate": 3.9555555555555556e-05,
|
2035 |
+
"loss": 2.4565,
|
2036 |
+
"step": 161000
|
2037 |
+
},
|
2038 |
+
{
|
2039 |
+
"epoch": 60.92,
|
2040 |
+
"learning_rate": 3.933333333333333e-05,
|
2041 |
+
"loss": 2.4559,
|
2042 |
+
"step": 161500
|
2043 |
+
},
|
2044 |
+
{
|
2045 |
+
"epoch": 61.11,
|
2046 |
+
"learning_rate": 3.9111111111111115e-05,
|
2047 |
+
"loss": 2.4587,
|
2048 |
+
"step": 162000
|
2049 |
+
},
|
2050 |
+
{
|
2051 |
+
"epoch": 61.3,
|
2052 |
+
"learning_rate": 3.888888888888889e-05,
|
2053 |
+
"loss": 2.4509,
|
2054 |
+
"step": 162500
|
2055 |
+
},
|
2056 |
+
{
|
2057 |
+
"epoch": 61.3,
|
2058 |
+
"eval_loss": 2.3613131046295166,
|
2059 |
+
"eval_runtime": 283.6567,
|
2060 |
+
"eval_samples_per_second": 485.982,
|
2061 |
+
"eval_steps_per_second": 3.797,
|
2062 |
+
"step": 162500
|
2063 |
+
},
|
2064 |
+
{
|
2065 |
+
"epoch": 61.49,
|
2066 |
+
"learning_rate": 3.866666666666667e-05,
|
2067 |
+
"loss": 2.4554,
|
2068 |
+
"step": 163000
|
2069 |
+
},
|
2070 |
+
{
|
2071 |
+
"epoch": 61.67,
|
2072 |
+
"learning_rate": 3.844444444444444e-05,
|
2073 |
+
"loss": 2.4562,
|
2074 |
+
"step": 163500
|
2075 |
+
},
|
2076 |
+
{
|
2077 |
+
"epoch": 61.86,
|
2078 |
+
"learning_rate": 3.8222222222222226e-05,
|
2079 |
+
"loss": 2.4511,
|
2080 |
+
"step": 164000
|
2081 |
+
},
|
2082 |
+
{
|
2083 |
+
"epoch": 62.05,
|
2084 |
+
"learning_rate": 3.8e-05,
|
2085 |
+
"loss": 2.4578,
|
2086 |
+
"step": 164500
|
2087 |
+
},
|
2088 |
+
{
|
2089 |
+
"epoch": 62.24,
|
2090 |
+
"learning_rate": 3.777777777777778e-05,
|
2091 |
+
"loss": 2.4513,
|
2092 |
+
"step": 165000
|
2093 |
+
},
|
2094 |
+
{
|
2095 |
+
"epoch": 62.43,
|
2096 |
+
"learning_rate": 3.7555555555555554e-05,
|
2097 |
+
"loss": 2.4509,
|
2098 |
+
"step": 165500
|
2099 |
+
},
|
2100 |
+
{
|
2101 |
+
"epoch": 62.62,
|
2102 |
+
"learning_rate": 3.733333333333334e-05,
|
2103 |
+
"loss": 2.4498,
|
2104 |
+
"step": 166000
|
2105 |
+
},
|
2106 |
+
{
|
2107 |
+
"epoch": 62.81,
|
2108 |
+
"learning_rate": 3.7111111111111113e-05,
|
2109 |
+
"loss": 2.4499,
|
2110 |
+
"step": 166500
|
2111 |
+
},
|
2112 |
+
{
|
2113 |
+
"epoch": 62.99,
|
2114 |
+
"learning_rate": 3.688888888888889e-05,
|
2115 |
+
"loss": 2.4543,
|
2116 |
+
"step": 167000
|
2117 |
+
},
|
2118 |
+
{
|
2119 |
+
"epoch": 63.18,
|
2120 |
+
"learning_rate": 3.6666666666666666e-05,
|
2121 |
+
"loss": 2.4498,
|
2122 |
+
"step": 167500
|
2123 |
+
},
|
2124 |
+
{
|
2125 |
+
"epoch": 63.37,
|
2126 |
+
"learning_rate": 3.644444444444445e-05,
|
2127 |
+
"loss": 2.4463,
|
2128 |
+
"step": 168000
|
2129 |
+
},
|
2130 |
+
{
|
2131 |
+
"epoch": 63.56,
|
2132 |
+
"learning_rate": 3.6222222222222225e-05,
|
2133 |
+
"loss": 2.4491,
|
2134 |
+
"step": 168500
|
2135 |
+
},
|
2136 |
+
{
|
2137 |
+
"epoch": 63.75,
|
2138 |
+
"learning_rate": 3.6e-05,
|
2139 |
+
"loss": 2.4532,
|
2140 |
+
"step": 169000
|
2141 |
+
},
|
2142 |
+
{
|
2143 |
+
"epoch": 63.94,
|
2144 |
+
"learning_rate": 3.577777777777778e-05,
|
2145 |
+
"loss": 2.4441,
|
2146 |
+
"step": 169500
|
2147 |
+
},
|
2148 |
+
{
|
2149 |
+
"epoch": 64.13,
|
2150 |
+
"learning_rate": 3.555555555555556e-05,
|
2151 |
+
"loss": 2.45,
|
2152 |
+
"step": 170000
|
2153 |
+
},
|
2154 |
+
{
|
2155 |
+
"epoch": 64.32,
|
2156 |
+
"learning_rate": 3.5333333333333336e-05,
|
2157 |
+
"loss": 2.4453,
|
2158 |
+
"step": 170500
|
2159 |
+
},
|
2160 |
+
{
|
2161 |
+
"epoch": 64.5,
|
2162 |
+
"learning_rate": 3.511111111111111e-05,
|
2163 |
+
"loss": 2.4463,
|
2164 |
+
"step": 171000
|
2165 |
+
},
|
2166 |
+
{
|
2167 |
+
"epoch": 64.69,
|
2168 |
+
"learning_rate": 3.4888888888888895e-05,
|
2169 |
+
"loss": 2.4457,
|
2170 |
+
"step": 171500
|
2171 |
+
},
|
2172 |
+
{
|
2173 |
+
"epoch": 64.88,
|
2174 |
+
"learning_rate": 3.466666666666667e-05,
|
2175 |
+
"loss": 2.4477,
|
2176 |
+
"step": 172000
|
2177 |
+
},
|
2178 |
+
{
|
2179 |
+
"epoch": 65.07,
|
2180 |
+
"learning_rate": 3.444444444444445e-05,
|
2181 |
+
"loss": 2.4467,
|
2182 |
+
"step": 172500
|
2183 |
+
},
|
2184 |
+
{
|
2185 |
+
"epoch": 65.26,
|
2186 |
+
"learning_rate": 3.4222222222222224e-05,
|
2187 |
+
"loss": 2.447,
|
2188 |
+
"step": 173000
|
2189 |
+
},
|
2190 |
+
{
|
2191 |
+
"epoch": 65.45,
|
2192 |
+
"learning_rate": 3.4000000000000007e-05,
|
2193 |
+
"loss": 2.443,
|
2194 |
+
"step": 173500
|
2195 |
+
},
|
2196 |
+
{
|
2197 |
+
"epoch": 65.64,
|
2198 |
+
"learning_rate": 3.377777777777778e-05,
|
2199 |
+
"loss": 2.443,
|
2200 |
+
"step": 174000
|
2201 |
+
},
|
2202 |
+
{
|
2203 |
+
"epoch": 65.82,
|
2204 |
+
"learning_rate": 3.355555555555556e-05,
|
2205 |
+
"loss": 2.4441,
|
2206 |
+
"step": 174500
|
2207 |
+
},
|
2208 |
+
{
|
2209 |
+
"epoch": 66.01,
|
2210 |
+
"learning_rate": 3.3333333333333335e-05,
|
2211 |
+
"loss": 2.4469,
|
2212 |
+
"step": 175000
|
2213 |
+
},
|
2214 |
+
{
|
2215 |
+
"epoch": 66.01,
|
2216 |
+
"eval_loss": 2.3445606231689453,
|
2217 |
+
"eval_runtime": 283.6225,
|
2218 |
+
"eval_samples_per_second": 486.04,
|
2219 |
+
"eval_steps_per_second": 3.797,
|
2220 |
+
"step": 175000
|
2221 |
+
},
|
2222 |
+
{
|
2223 |
+
"epoch": 66.2,
|
2224 |
+
"learning_rate": 3.311111111111112e-05,
|
2225 |
+
"loss": 2.4367,
|
2226 |
+
"step": 175500
|
2227 |
+
},
|
2228 |
+
{
|
2229 |
+
"epoch": 66.39,
|
2230 |
+
"learning_rate": 3.2888888888888894e-05,
|
2231 |
+
"loss": 2.4414,
|
2232 |
+
"step": 176000
|
2233 |
+
},
|
2234 |
+
{
|
2235 |
+
"epoch": 66.58,
|
2236 |
+
"learning_rate": 3.266666666666667e-05,
|
2237 |
+
"loss": 2.4424,
|
2238 |
+
"step": 176500
|
2239 |
+
},
|
2240 |
+
{
|
2241 |
+
"epoch": 66.77,
|
2242 |
+
"learning_rate": 3.2444444444444446e-05,
|
2243 |
+
"loss": 2.4405,
|
2244 |
+
"step": 177000
|
2245 |
+
},
|
2246 |
+
{
|
2247 |
+
"epoch": 66.96,
|
2248 |
+
"learning_rate": 3.222222222222223e-05,
|
2249 |
+
"loss": 2.4415,
|
2250 |
+
"step": 177500
|
2251 |
+
},
|
2252 |
+
{
|
2253 |
+
"epoch": 67.14,
|
2254 |
+
"learning_rate": 3.2000000000000005e-05,
|
2255 |
+
"loss": 2.4398,
|
2256 |
+
"step": 178000
|
2257 |
+
},
|
2258 |
+
{
|
2259 |
+
"epoch": 67.33,
|
2260 |
+
"learning_rate": 3.177777777777778e-05,
|
2261 |
+
"loss": 2.4406,
|
2262 |
+
"step": 178500
|
2263 |
+
},
|
2264 |
+
{
|
2265 |
+
"epoch": 67.52,
|
2266 |
+
"learning_rate": 3.155555555555556e-05,
|
2267 |
+
"loss": 2.4375,
|
2268 |
+
"step": 179000
|
2269 |
+
},
|
2270 |
+
{
|
2271 |
+
"epoch": 67.71,
|
2272 |
+
"learning_rate": 3.1333333333333334e-05,
|
2273 |
+
"loss": 2.4365,
|
2274 |
+
"step": 179500
|
2275 |
+
},
|
2276 |
+
{
|
2277 |
+
"epoch": 67.9,
|
2278 |
+
"learning_rate": 3.111111111111111e-05,
|
2279 |
+
"loss": 2.4415,
|
2280 |
+
"step": 180000
|
2281 |
+
},
|
2282 |
+
{
|
2283 |
+
"epoch": 68.09,
|
2284 |
+
"learning_rate": 3.088888888888889e-05,
|
2285 |
+
"loss": 2.4391,
|
2286 |
+
"step": 180500
|
2287 |
+
},
|
2288 |
+
{
|
2289 |
+
"epoch": 68.28,
|
2290 |
+
"learning_rate": 3.066666666666667e-05,
|
2291 |
+
"loss": 2.437,
|
2292 |
+
"step": 181000
|
2293 |
+
},
|
2294 |
+
{
|
2295 |
+
"epoch": 68.46,
|
2296 |
+
"learning_rate": 3.044444444444445e-05,
|
2297 |
+
"loss": 2.4357,
|
2298 |
+
"step": 181500
|
2299 |
+
},
|
2300 |
+
{
|
2301 |
+
"epoch": 68.65,
|
2302 |
+
"learning_rate": 3.0222222222222225e-05,
|
2303 |
+
"loss": 2.4375,
|
2304 |
+
"step": 182000
|
2305 |
+
},
|
2306 |
+
{
|
2307 |
+
"epoch": 68.84,
|
2308 |
+
"learning_rate": 3e-05,
|
2309 |
+
"loss": 2.4356,
|
2310 |
+
"step": 182500
|
2311 |
+
},
|
2312 |
+
{
|
2313 |
+
"epoch": 69.03,
|
2314 |
+
"learning_rate": 2.9777777777777777e-05,
|
2315 |
+
"loss": 2.4364,
|
2316 |
+
"step": 183000
|
2317 |
+
},
|
2318 |
+
{
|
2319 |
+
"epoch": 69.22,
|
2320 |
+
"learning_rate": 2.955555555555556e-05,
|
2321 |
+
"loss": 2.4335,
|
2322 |
+
"step": 183500
|
2323 |
+
},
|
2324 |
+
{
|
2325 |
+
"epoch": 69.41,
|
2326 |
+
"learning_rate": 2.9333333333333336e-05,
|
2327 |
+
"loss": 2.4325,
|
2328 |
+
"step": 184000
|
2329 |
+
},
|
2330 |
+
{
|
2331 |
+
"epoch": 69.6,
|
2332 |
+
"learning_rate": 2.9111111111111112e-05,
|
2333 |
+
"loss": 2.434,
|
2334 |
+
"step": 184500
|
2335 |
+
},
|
2336 |
+
{
|
2337 |
+
"epoch": 69.78,
|
2338 |
+
"learning_rate": 2.8888888888888888e-05,
|
2339 |
+
"loss": 2.4397,
|
2340 |
+
"step": 185000
|
2341 |
+
},
|
2342 |
+
{
|
2343 |
+
"epoch": 69.97,
|
2344 |
+
"learning_rate": 2.8666666666666668e-05,
|
2345 |
+
"loss": 2.4375,
|
2346 |
+
"step": 185500
|
2347 |
+
},
|
2348 |
+
{
|
2349 |
+
"epoch": 70.16,
|
2350 |
+
"learning_rate": 2.8444444444444447e-05,
|
2351 |
+
"loss": 2.4338,
|
2352 |
+
"step": 186000
|
2353 |
+
},
|
2354 |
+
{
|
2355 |
+
"epoch": 70.35,
|
2356 |
+
"learning_rate": 2.8222222222222223e-05,
|
2357 |
+
"loss": 2.4317,
|
2358 |
+
"step": 186500
|
2359 |
+
},
|
2360 |
+
{
|
2361 |
+
"epoch": 70.54,
|
2362 |
+
"learning_rate": 2.8000000000000003e-05,
|
2363 |
+
"loss": 2.4321,
|
2364 |
+
"step": 187000
|
2365 |
+
},
|
2366 |
+
{
|
2367 |
+
"epoch": 70.73,
|
2368 |
+
"learning_rate": 2.777777777777778e-05,
|
2369 |
+
"loss": 2.4296,
|
2370 |
+
"step": 187500
|
2371 |
+
},
|
2372 |
+
{
|
2373 |
+
"epoch": 70.73,
|
2374 |
+
"eval_loss": 2.3378496170043945,
|
2375 |
+
"eval_runtime": 283.6193,
|
2376 |
+
"eval_samples_per_second": 486.046,
|
2377 |
+
"eval_steps_per_second": 3.797,
|
2378 |
+
"step": 187500
|
2379 |
+
},
|
2380 |
+
{
|
2381 |
+
"epoch": 70.92,
|
2382 |
+
"learning_rate": 2.7555555555555555e-05,
|
2383 |
+
"loss": 2.4349,
|
2384 |
+
"step": 188000
|
2385 |
+
},
|
2386 |
+
{
|
2387 |
+
"epoch": 71.11,
|
2388 |
+
"learning_rate": 2.733333333333333e-05,
|
2389 |
+
"loss": 2.4326,
|
2390 |
+
"step": 188500
|
2391 |
+
},
|
2392 |
+
{
|
2393 |
+
"epoch": 71.29,
|
2394 |
+
"learning_rate": 2.7111111111111114e-05,
|
2395 |
+
"loss": 2.4284,
|
2396 |
+
"step": 189000
|
2397 |
+
},
|
2398 |
+
{
|
2399 |
+
"epoch": 71.48,
|
2400 |
+
"learning_rate": 2.688888888888889e-05,
|
2401 |
+
"loss": 2.4299,
|
2402 |
+
"step": 189500
|
2403 |
+
},
|
2404 |
+
{
|
2405 |
+
"epoch": 71.67,
|
2406 |
+
"learning_rate": 2.6666666666666667e-05,
|
2407 |
+
"loss": 2.4317,
|
2408 |
+
"step": 190000
|
2409 |
+
},
|
2410 |
+
{
|
2411 |
+
"epoch": 71.86,
|
2412 |
+
"learning_rate": 2.6444444444444443e-05,
|
2413 |
+
"loss": 2.4288,
|
2414 |
+
"step": 190500
|
2415 |
+
},
|
2416 |
+
{
|
2417 |
+
"epoch": 72.05,
|
2418 |
+
"learning_rate": 2.6222222222222226e-05,
|
2419 |
+
"loss": 2.4322,
|
2420 |
+
"step": 191000
|
2421 |
+
},
|
2422 |
+
{
|
2423 |
+
"epoch": 72.24,
|
2424 |
+
"learning_rate": 2.6000000000000002e-05,
|
2425 |
+
"loss": 2.4317,
|
2426 |
+
"step": 191500
|
2427 |
+
},
|
2428 |
+
{
|
2429 |
+
"epoch": 72.43,
|
2430 |
+
"learning_rate": 2.5777777777777778e-05,
|
2431 |
+
"loss": 2.4262,
|
2432 |
+
"step": 192000
|
2433 |
+
},
|
2434 |
+
{
|
2435 |
+
"epoch": 72.61,
|
2436 |
+
"learning_rate": 2.5555555555555554e-05,
|
2437 |
+
"loss": 2.4239,
|
2438 |
+
"step": 192500
|
2439 |
+
},
|
2440 |
+
{
|
2441 |
+
"epoch": 72.8,
|
2442 |
+
"learning_rate": 2.5333333333333337e-05,
|
2443 |
+
"loss": 2.4279,
|
2444 |
+
"step": 193000
|
2445 |
+
},
|
2446 |
+
{
|
2447 |
+
"epoch": 72.99,
|
2448 |
+
"learning_rate": 2.5111111111111113e-05,
|
2449 |
+
"loss": 2.4271,
|
2450 |
+
"step": 193500
|
2451 |
+
},
|
2452 |
+
{
|
2453 |
+
"epoch": 73.18,
|
2454 |
+
"learning_rate": 2.488888888888889e-05,
|
2455 |
+
"loss": 2.4349,
|
2456 |
+
"step": 194000
|
2457 |
+
},
|
2458 |
+
{
|
2459 |
+
"epoch": 73.37,
|
2460 |
+
"learning_rate": 2.466666666666667e-05,
|
2461 |
+
"loss": 2.4285,
|
2462 |
+
"step": 194500
|
2463 |
+
},
|
2464 |
+
{
|
2465 |
+
"epoch": 73.56,
|
2466 |
+
"learning_rate": 2.4444444444444445e-05,
|
2467 |
+
"loss": 2.4217,
|
2468 |
+
"step": 195000
|
2469 |
+
},
|
2470 |
+
{
|
2471 |
+
"epoch": 73.75,
|
2472 |
+
"learning_rate": 2.4222222222222224e-05,
|
2473 |
+
"loss": 2.4215,
|
2474 |
+
"step": 195500
|
2475 |
+
},
|
2476 |
+
{
|
2477 |
+
"epoch": 73.93,
|
2478 |
+
"learning_rate": 2.4e-05,
|
2479 |
+
"loss": 2.4267,
|
2480 |
+
"step": 196000
|
2481 |
+
},
|
2482 |
+
{
|
2483 |
+
"epoch": 74.12,
|
2484 |
+
"learning_rate": 2.377777777777778e-05,
|
2485 |
+
"loss": 2.4281,
|
2486 |
+
"step": 196500
|
2487 |
+
},
|
2488 |
+
{
|
2489 |
+
"epoch": 74.31,
|
2490 |
+
"learning_rate": 2.3555555555555556e-05,
|
2491 |
+
"loss": 2.4238,
|
2492 |
+
"step": 197000
|
2493 |
+
},
|
2494 |
+
{
|
2495 |
+
"epoch": 74.5,
|
2496 |
+
"learning_rate": 2.3333333333333336e-05,
|
2497 |
+
"loss": 2.4243,
|
2498 |
+
"step": 197500
|
2499 |
+
},
|
2500 |
+
{
|
2501 |
+
"epoch": 74.69,
|
2502 |
+
"learning_rate": 2.3111111111111112e-05,
|
2503 |
+
"loss": 2.4238,
|
2504 |
+
"step": 198000
|
2505 |
+
},
|
2506 |
+
{
|
2507 |
+
"epoch": 74.88,
|
2508 |
+
"learning_rate": 2.288888888888889e-05,
|
2509 |
+
"loss": 2.4231,
|
2510 |
+
"step": 198500
|
2511 |
+
},
|
2512 |
+
{
|
2513 |
+
"epoch": 75.07,
|
2514 |
+
"learning_rate": 2.2666666666666668e-05,
|
2515 |
+
"loss": 2.4231,
|
2516 |
+
"step": 199000
|
2517 |
+
},
|
2518 |
+
{
|
2519 |
+
"epoch": 75.25,
|
2520 |
+
"learning_rate": 2.2444444444444447e-05,
|
2521 |
+
"loss": 2.4238,
|
2522 |
+
"step": 199500
|
2523 |
+
},
|
2524 |
+
{
|
2525 |
+
"epoch": 75.44,
|
2526 |
+
"learning_rate": 2.2222222222222223e-05,
|
2527 |
+
"loss": 2.4213,
|
2528 |
+
"step": 200000
|
2529 |
+
},
|
2530 |
+
{
|
2531 |
+
"epoch": 75.44,
|
2532 |
+
"eval_loss": 2.328047513961792,
|
2533 |
+
"eval_runtime": 283.8545,
|
2534 |
+
"eval_samples_per_second": 485.643,
|
2535 |
+
"eval_steps_per_second": 3.794,
|
2536 |
+
"step": 200000
|
2537 |
+
},
|
2538 |
+
{
|
2539 |
+
"epoch": 75.63,
|
2540 |
+
"learning_rate": 2.2000000000000003e-05,
|
2541 |
+
"loss": 2.4195,
|
2542 |
+
"step": 200500
|
2543 |
+
},
|
2544 |
+
{
|
2545 |
+
"epoch": 75.82,
|
2546 |
+
"learning_rate": 2.177777777777778e-05,
|
2547 |
+
"loss": 2.427,
|
2548 |
+
"step": 201000
|
2549 |
+
},
|
2550 |
+
{
|
2551 |
+
"epoch": 76.01,
|
2552 |
+
"learning_rate": 2.1555555555555555e-05,
|
2553 |
+
"loss": 2.4211,
|
2554 |
+
"step": 201500
|
2555 |
+
},
|
2556 |
+
{
|
2557 |
+
"epoch": 76.2,
|
2558 |
+
"learning_rate": 2.1333333333333335e-05,
|
2559 |
+
"loss": 2.421,
|
2560 |
+
"step": 202000
|
2561 |
+
},
|
2562 |
+
{
|
2563 |
+
"epoch": 76.39,
|
2564 |
+
"learning_rate": 2.111111111111111e-05,
|
2565 |
+
"loss": 2.4212,
|
2566 |
+
"step": 202500
|
2567 |
+
},
|
2568 |
+
{
|
2569 |
+
"epoch": 76.57,
|
2570 |
+
"learning_rate": 2.088888888888889e-05,
|
2571 |
+
"loss": 2.4211,
|
2572 |
+
"step": 203000
|
2573 |
+
},
|
2574 |
+
{
|
2575 |
+
"epoch": 76.76,
|
2576 |
+
"learning_rate": 2.0666666666666666e-05,
|
2577 |
+
"loss": 2.4172,
|
2578 |
+
"step": 203500
|
2579 |
+
},
|
2580 |
+
{
|
2581 |
+
"epoch": 76.95,
|
2582 |
+
"learning_rate": 2.0444444444444446e-05,
|
2583 |
+
"loss": 2.4197,
|
2584 |
+
"step": 204000
|
2585 |
+
},
|
2586 |
+
{
|
2587 |
+
"epoch": 77.14,
|
2588 |
+
"learning_rate": 2.0222222222222222e-05,
|
2589 |
+
"loss": 2.4202,
|
2590 |
+
"step": 204500
|
2591 |
+
},
|
2592 |
+
{
|
2593 |
+
"epoch": 77.33,
|
2594 |
+
"learning_rate": 2e-05,
|
2595 |
+
"loss": 2.4198,
|
2596 |
+
"step": 205000
|
2597 |
+
},
|
2598 |
+
{
|
2599 |
+
"epoch": 77.52,
|
2600 |
+
"learning_rate": 1.9777777777777778e-05,
|
2601 |
+
"loss": 2.4182,
|
2602 |
+
"step": 205500
|
2603 |
+
},
|
2604 |
+
{
|
2605 |
+
"epoch": 77.71,
|
2606 |
+
"learning_rate": 1.9555555555555557e-05,
|
2607 |
+
"loss": 2.4151,
|
2608 |
+
"step": 206000
|
2609 |
+
},
|
2610 |
+
{
|
2611 |
+
"epoch": 77.89,
|
2612 |
+
"learning_rate": 1.9333333333333333e-05,
|
2613 |
+
"loss": 2.417,
|
2614 |
+
"step": 206500
|
2615 |
+
},
|
2616 |
+
{
|
2617 |
+
"epoch": 78.08,
|
2618 |
+
"learning_rate": 1.9111111111111113e-05,
|
2619 |
+
"loss": 2.4166,
|
2620 |
+
"step": 207000
|
2621 |
+
},
|
2622 |
+
{
|
2623 |
+
"epoch": 78.27,
|
2624 |
+
"learning_rate": 1.888888888888889e-05,
|
2625 |
+
"loss": 2.4173,
|
2626 |
+
"step": 207500
|
2627 |
+
},
|
2628 |
+
{
|
2629 |
+
"epoch": 78.46,
|
2630 |
+
"learning_rate": 1.866666666666667e-05,
|
2631 |
+
"loss": 2.413,
|
2632 |
+
"step": 208000
|
2633 |
+
},
|
2634 |
+
{
|
2635 |
+
"epoch": 78.65,
|
2636 |
+
"learning_rate": 1.8444444444444445e-05,
|
2637 |
+
"loss": 2.4116,
|
2638 |
+
"step": 208500
|
2639 |
+
},
|
2640 |
+
{
|
2641 |
+
"epoch": 78.84,
|
2642 |
+
"learning_rate": 1.8222222222222224e-05,
|
2643 |
+
"loss": 2.4129,
|
2644 |
+
"step": 209000
|
2645 |
+
},
|
2646 |
+
{
|
2647 |
+
"epoch": 79.03,
|
2648 |
+
"learning_rate": 1.8e-05,
|
2649 |
+
"loss": 2.4186,
|
2650 |
+
"step": 209500
|
2651 |
+
},
|
2652 |
+
{
|
2653 |
+
"epoch": 79.22,
|
2654 |
+
"learning_rate": 1.777777777777778e-05,
|
2655 |
+
"loss": 2.4105,
|
2656 |
+
"step": 210000
|
2657 |
+
},
|
2658 |
+
{
|
2659 |
+
"epoch": 79.4,
|
2660 |
+
"learning_rate": 1.7555555555555556e-05,
|
2661 |
+
"loss": 2.4136,
|
2662 |
+
"step": 210500
|
2663 |
+
},
|
2664 |
+
{
|
2665 |
+
"epoch": 79.59,
|
2666 |
+
"learning_rate": 1.7333333333333336e-05,
|
2667 |
+
"loss": 2.4117,
|
2668 |
+
"step": 211000
|
2669 |
+
},
|
2670 |
+
{
|
2671 |
+
"epoch": 79.78,
|
2672 |
+
"learning_rate": 1.7111111111111112e-05,
|
2673 |
+
"loss": 2.412,
|
2674 |
+
"step": 211500
|
2675 |
+
},
|
2676 |
+
{
|
2677 |
+
"epoch": 79.97,
|
2678 |
+
"learning_rate": 1.688888888888889e-05,
|
2679 |
+
"loss": 2.414,
|
2680 |
+
"step": 212000
|
2681 |
+
},
|
2682 |
+
{
|
2683 |
+
"epoch": 80.16,
|
2684 |
+
"learning_rate": 1.6666666666666667e-05,
|
2685 |
+
"loss": 2.4166,
|
2686 |
+
"step": 212500
|
2687 |
+
},
|
2688 |
+
{
|
2689 |
+
"epoch": 80.16,
|
2690 |
+
"eval_loss": 2.32003116607666,
|
2691 |
+
"eval_runtime": 283.7234,
|
2692 |
+
"eval_samples_per_second": 485.867,
|
2693 |
+
"eval_steps_per_second": 3.796,
|
2694 |
+
"step": 212500
|
2695 |
+
},
|
2696 |
+
{
|
2697 |
+
"epoch": 80.35,
|
2698 |
+
"learning_rate": 1.6444444444444447e-05,
|
2699 |
+
"loss": 2.4142,
|
2700 |
+
"step": 213000
|
2701 |
+
},
|
2702 |
+
{
|
2703 |
+
"epoch": 80.54,
|
2704 |
+
"learning_rate": 1.6222222222222223e-05,
|
2705 |
+
"loss": 2.4085,
|
2706 |
+
"step": 213500
|
2707 |
+
},
|
2708 |
+
{
|
2709 |
+
"epoch": 80.72,
|
2710 |
+
"learning_rate": 1.6000000000000003e-05,
|
2711 |
+
"loss": 2.4121,
|
2712 |
+
"step": 214000
|
2713 |
+
},
|
2714 |
+
{
|
2715 |
+
"epoch": 80.91,
|
2716 |
+
"learning_rate": 1.577777777777778e-05,
|
2717 |
+
"loss": 2.4077,
|
2718 |
+
"step": 214500
|
2719 |
+
},
|
2720 |
+
{
|
2721 |
+
"epoch": 81.1,
|
2722 |
+
"learning_rate": 1.5555555555555555e-05,
|
2723 |
+
"loss": 2.4129,
|
2724 |
+
"step": 215000
|
2725 |
+
},
|
2726 |
+
{
|
2727 |
+
"epoch": 81.29,
|
2728 |
+
"learning_rate": 1.5333333333333334e-05,
|
2729 |
+
"loss": 2.4103,
|
2730 |
+
"step": 215500
|
2731 |
+
},
|
2732 |
+
{
|
2733 |
+
"epoch": 81.48,
|
2734 |
+
"learning_rate": 1.5111111111111112e-05,
|
2735 |
+
"loss": 2.4116,
|
2736 |
+
"step": 216000
|
2737 |
+
},
|
2738 |
+
{
|
2739 |
+
"epoch": 81.67,
|
2740 |
+
"learning_rate": 1.4888888888888888e-05,
|
2741 |
+
"loss": 2.4073,
|
2742 |
+
"step": 216500
|
2743 |
+
},
|
2744 |
+
{
|
2745 |
+
"epoch": 81.86,
|
2746 |
+
"learning_rate": 1.4666666666666668e-05,
|
2747 |
+
"loss": 2.4111,
|
2748 |
+
"step": 217000
|
2749 |
+
},
|
2750 |
+
{
|
2751 |
+
"epoch": 82.04,
|
2752 |
+
"learning_rate": 1.4444444444444444e-05,
|
2753 |
+
"loss": 2.4099,
|
2754 |
+
"step": 217500
|
2755 |
+
},
|
2756 |
+
{
|
2757 |
+
"epoch": 82.23,
|
2758 |
+
"learning_rate": 1.4222222222222224e-05,
|
2759 |
+
"loss": 2.4051,
|
2760 |
+
"step": 218000
|
2761 |
+
},
|
2762 |
+
{
|
2763 |
+
"epoch": 82.42,
|
2764 |
+
"learning_rate": 1.4000000000000001e-05,
|
2765 |
+
"loss": 2.406,
|
2766 |
+
"step": 218500
|
2767 |
+
},
|
2768 |
+
{
|
2769 |
+
"epoch": 82.61,
|
2770 |
+
"learning_rate": 1.3777777777777778e-05,
|
2771 |
+
"loss": 2.4115,
|
2772 |
+
"step": 219000
|
2773 |
+
},
|
2774 |
+
{
|
2775 |
+
"epoch": 82.8,
|
2776 |
+
"learning_rate": 1.3555555555555557e-05,
|
2777 |
+
"loss": 2.4027,
|
2778 |
+
"step": 219500
|
2779 |
+
},
|
2780 |
+
{
|
2781 |
+
"epoch": 82.99,
|
2782 |
+
"learning_rate": 1.3333333333333333e-05,
|
2783 |
+
"loss": 2.4124,
|
2784 |
+
"step": 220000
|
2785 |
+
},
|
2786 |
+
{
|
2787 |
+
"epoch": 83.18,
|
2788 |
+
"learning_rate": 1.3111111111111113e-05,
|
2789 |
+
"loss": 2.4104,
|
2790 |
+
"step": 220500
|
2791 |
+
},
|
2792 |
+
{
|
2793 |
+
"epoch": 83.36,
|
2794 |
+
"learning_rate": 1.2888888888888889e-05,
|
2795 |
+
"loss": 2.405,
|
2796 |
+
"step": 221000
|
2797 |
+
},
|
2798 |
+
{
|
2799 |
+
"epoch": 83.55,
|
2800 |
+
"learning_rate": 1.2666666666666668e-05,
|
2801 |
+
"loss": 2.4078,
|
2802 |
+
"step": 221500
|
2803 |
+
},
|
2804 |
+
{
|
2805 |
+
"epoch": 83.74,
|
2806 |
+
"learning_rate": 1.2444444444444445e-05,
|
2807 |
+
"loss": 2.4091,
|
2808 |
+
"step": 222000
|
2809 |
+
},
|
2810 |
+
{
|
2811 |
+
"epoch": 83.93,
|
2812 |
+
"learning_rate": 1.2222222222222222e-05,
|
2813 |
+
"loss": 2.4013,
|
2814 |
+
"step": 222500
|
2815 |
+
},
|
2816 |
+
{
|
2817 |
+
"epoch": 84.12,
|
2818 |
+
"learning_rate": 1.2e-05,
|
2819 |
+
"loss": 2.4117,
|
2820 |
+
"step": 223000
|
2821 |
+
},
|
2822 |
+
{
|
2823 |
+
"epoch": 84.31,
|
2824 |
+
"learning_rate": 1.1777777777777778e-05,
|
2825 |
+
"loss": 2.408,
|
2826 |
+
"step": 223500
|
2827 |
+
},
|
2828 |
+
{
|
2829 |
+
"epoch": 84.5,
|
2830 |
+
"learning_rate": 1.1555555555555556e-05,
|
2831 |
+
"loss": 2.4035,
|
2832 |
+
"step": 224000
|
2833 |
+
},
|
2834 |
+
{
|
2835 |
+
"epoch": 84.68,
|
2836 |
+
"learning_rate": 1.1333333333333334e-05,
|
2837 |
+
"loss": 2.4005,
|
2838 |
+
"step": 224500
|
2839 |
+
},
|
2840 |
+
{
|
2841 |
+
"epoch": 84.87,
|
2842 |
+
"learning_rate": 1.1111111111111112e-05,
|
2843 |
+
"loss": 2.3995,
|
2844 |
+
"step": 225000
|
2845 |
+
},
|
2846 |
+
{
|
2847 |
+
"epoch": 84.87,
|
2848 |
+
"eval_loss": 2.3128256797790527,
|
2849 |
+
"eval_runtime": 283.7082,
|
2850 |
+
"eval_samples_per_second": 485.894,
|
2851 |
+
"eval_steps_per_second": 3.796,
|
2852 |
+
"step": 225000
|
2853 |
+
},
|
2854 |
+
{
|
2855 |
+
"epoch": 85.06,
|
2856 |
+
"learning_rate": 1.088888888888889e-05,
|
2857 |
+
"loss": 2.41,
|
2858 |
+
"step": 225500
|
2859 |
+
},
|
2860 |
+
{
|
2861 |
+
"epoch": 85.25,
|
2862 |
+
"learning_rate": 1.0666666666666667e-05,
|
2863 |
+
"loss": 2.4006,
|
2864 |
+
"step": 226000
|
2865 |
+
},
|
2866 |
+
{
|
2867 |
+
"epoch": 85.44,
|
2868 |
+
"learning_rate": 1.0444444444444445e-05,
|
2869 |
+
"loss": 2.4071,
|
2870 |
+
"step": 226500
|
2871 |
+
},
|
2872 |
+
{
|
2873 |
+
"epoch": 85.63,
|
2874 |
+
"learning_rate": 1.0222222222222223e-05,
|
2875 |
+
"loss": 2.4026,
|
2876 |
+
"step": 227000
|
2877 |
+
},
|
2878 |
+
{
|
2879 |
+
"epoch": 85.82,
|
2880 |
+
"learning_rate": 1e-05,
|
2881 |
+
"loss": 2.4054,
|
2882 |
+
"step": 227500
|
2883 |
+
},
|
2884 |
+
{
|
2885 |
+
"epoch": 86.01,
|
2886 |
+
"learning_rate": 9.777777777777779e-06,
|
2887 |
+
"loss": 2.406,
|
2888 |
+
"step": 228000
|
2889 |
+
},
|
2890 |
+
{
|
2891 |
+
"epoch": 86.19,
|
2892 |
+
"learning_rate": 9.555555555555556e-06,
|
2893 |
+
"loss": 2.4008,
|
2894 |
+
"step": 228500
|
2895 |
+
},
|
2896 |
+
{
|
2897 |
+
"epoch": 86.38,
|
2898 |
+
"learning_rate": 9.333333333333334e-06,
|
2899 |
+
"loss": 2.4,
|
2900 |
+
"step": 229000
|
2901 |
+
},
|
2902 |
+
{
|
2903 |
+
"epoch": 86.57,
|
2904 |
+
"learning_rate": 9.111111111111112e-06,
|
2905 |
+
"loss": 2.4014,
|
2906 |
+
"step": 229500
|
2907 |
+
},
|
2908 |
+
{
|
2909 |
+
"epoch": 86.76,
|
2910 |
+
"learning_rate": 8.88888888888889e-06,
|
2911 |
+
"loss": 2.4026,
|
2912 |
+
"step": 230000
|
2913 |
+
},
|
2914 |
+
{
|
2915 |
+
"epoch": 86.95,
|
2916 |
+
"learning_rate": 8.666666666666668e-06,
|
2917 |
+
"loss": 2.4038,
|
2918 |
+
"step": 230500
|
2919 |
+
},
|
2920 |
+
{
|
2921 |
+
"epoch": 87.14,
|
2922 |
+
"learning_rate": 8.444444444444446e-06,
|
2923 |
+
"loss": 2.4036,
|
2924 |
+
"step": 231000
|
2925 |
+
},
|
2926 |
+
{
|
2927 |
+
"epoch": 87.33,
|
2928 |
+
"learning_rate": 8.222222222222223e-06,
|
2929 |
+
"loss": 2.4024,
|
2930 |
+
"step": 231500
|
2931 |
+
},
|
2932 |
+
{
|
2933 |
+
"epoch": 87.51,
|
2934 |
+
"learning_rate": 8.000000000000001e-06,
|
2935 |
+
"loss": 2.4045,
|
2936 |
+
"step": 232000
|
2937 |
+
},
|
2938 |
+
{
|
2939 |
+
"epoch": 87.7,
|
2940 |
+
"learning_rate": 7.777777777777777e-06,
|
2941 |
+
"loss": 2.4001,
|
2942 |
+
"step": 232500
|
2943 |
+
},
|
2944 |
+
{
|
2945 |
+
"epoch": 87.89,
|
2946 |
+
"learning_rate": 7.555555555555556e-06,
|
2947 |
+
"loss": 2.4001,
|
2948 |
+
"step": 233000
|
2949 |
+
},
|
2950 |
+
{
|
2951 |
+
"epoch": 88.08,
|
2952 |
+
"learning_rate": 7.333333333333334e-06,
|
2953 |
+
"loss": 2.4025,
|
2954 |
+
"step": 233500
|
2955 |
+
},
|
2956 |
+
{
|
2957 |
+
"epoch": 88.27,
|
2958 |
+
"learning_rate": 7.111111111111112e-06,
|
2959 |
+
"loss": 2.3957,
|
2960 |
+
"step": 234000
|
2961 |
+
},
|
2962 |
+
{
|
2963 |
+
"epoch": 88.46,
|
2964 |
+
"learning_rate": 6.888888888888889e-06,
|
2965 |
+
"loss": 2.3971,
|
2966 |
+
"step": 234500
|
2967 |
+
},
|
2968 |
+
{
|
2969 |
+
"epoch": 88.65,
|
2970 |
+
"learning_rate": 6.666666666666667e-06,
|
2971 |
+
"loss": 2.4007,
|
2972 |
+
"step": 235000
|
2973 |
+
},
|
2974 |
+
{
|
2975 |
+
"epoch": 88.83,
|
2976 |
+
"learning_rate": 6.4444444444444445e-06,
|
2977 |
+
"loss": 2.4002,
|
2978 |
+
"step": 235500
|
2979 |
+
},
|
2980 |
+
{
|
2981 |
+
"epoch": 89.02,
|
2982 |
+
"learning_rate": 6.222222222222222e-06,
|
2983 |
+
"loss": 2.3995,
|
2984 |
+
"step": 236000
|
2985 |
+
},
|
2986 |
+
{
|
2987 |
+
"epoch": 89.21,
|
2988 |
+
"learning_rate": 6e-06,
|
2989 |
+
"loss": 2.3985,
|
2990 |
+
"step": 236500
|
2991 |
+
},
|
2992 |
+
{
|
2993 |
+
"epoch": 89.4,
|
2994 |
+
"learning_rate": 5.777777777777778e-06,
|
2995 |
+
"loss": 2.4028,
|
2996 |
+
"step": 237000
|
2997 |
+
},
|
2998 |
+
{
|
2999 |
+
"epoch": 89.59,
|
3000 |
+
"learning_rate": 5.555555555555556e-06,
|
3001 |
+
"loss": 2.395,
|
3002 |
+
"step": 237500
|
3003 |
+
},
|
3004 |
+
{
|
3005 |
+
"epoch": 89.59,
|
3006 |
+
"eval_loss": 2.3064496517181396,
|
3007 |
+
"eval_runtime": 283.9176,
|
3008 |
+
"eval_samples_per_second": 485.535,
|
3009 |
+
"eval_steps_per_second": 3.793,
|
3010 |
+
"step": 237500
|
3011 |
+
},
|
3012 |
+
{
|
3013 |
+
"epoch": 89.78,
|
3014 |
+
"learning_rate": 5.333333333333334e-06,
|
3015 |
+
"loss": 2.3968,
|
3016 |
+
"step": 238000
|
3017 |
+
},
|
3018 |
+
{
|
3019 |
+
"epoch": 89.97,
|
3020 |
+
"learning_rate": 5.1111111111111115e-06,
|
3021 |
+
"loss": 2.3952,
|
3022 |
+
"step": 238500
|
3023 |
+
},
|
3024 |
+
{
|
3025 |
+
"epoch": 90.15,
|
3026 |
+
"learning_rate": 4.888888888888889e-06,
|
3027 |
+
"loss": 2.4006,
|
3028 |
+
"step": 239000
|
3029 |
+
},
|
3030 |
+
{
|
3031 |
+
"epoch": 90.34,
|
3032 |
+
"learning_rate": 4.666666666666667e-06,
|
3033 |
+
"loss": 2.3952,
|
3034 |
+
"step": 239500
|
3035 |
+
},
|
3036 |
+
{
|
3037 |
+
"epoch": 90.53,
|
3038 |
+
"learning_rate": 4.444444444444445e-06,
|
3039 |
+
"loss": 2.3949,
|
3040 |
+
"step": 240000
|
3041 |
+
},
|
3042 |
+
{
|
3043 |
+
"epoch": 90.72,
|
3044 |
+
"learning_rate": 4.222222222222223e-06,
|
3045 |
+
"loss": 2.3966,
|
3046 |
+
"step": 240500
|
3047 |
+
},
|
3048 |
+
{
|
3049 |
+
"epoch": 90.91,
|
3050 |
+
"learning_rate": 4.000000000000001e-06,
|
3051 |
+
"loss": 2.3955,
|
3052 |
+
"step": 241000
|
3053 |
+
},
|
3054 |
+
{
|
3055 |
+
"epoch": 91.1,
|
3056 |
+
"learning_rate": 3.777777777777778e-06,
|
3057 |
+
"loss": 2.4001,
|
3058 |
+
"step": 241500
|
3059 |
+
},
|
3060 |
+
{
|
3061 |
+
"epoch": 91.29,
|
3062 |
+
"learning_rate": 3.555555555555556e-06,
|
3063 |
+
"loss": 2.3956,
|
3064 |
+
"step": 242000
|
3065 |
+
},
|
3066 |
+
{
|
3067 |
+
"epoch": 91.47,
|
3068 |
+
"learning_rate": 3.3333333333333333e-06,
|
3069 |
+
"loss": 2.3951,
|
3070 |
+
"step": 242500
|
3071 |
+
},
|
3072 |
+
{
|
3073 |
+
"epoch": 91.66,
|
3074 |
+
"learning_rate": 3.111111111111111e-06,
|
3075 |
+
"loss": 2.4001,
|
3076 |
+
"step": 243000
|
3077 |
+
},
|
3078 |
+
{
|
3079 |
+
"epoch": 91.85,
|
3080 |
+
"learning_rate": 2.888888888888889e-06,
|
3081 |
+
"loss": 2.3945,
|
3082 |
+
"step": 243500
|
3083 |
+
},
|
3084 |
+
{
|
3085 |
+
"epoch": 92.04,
|
3086 |
+
"learning_rate": 2.666666666666667e-06,
|
3087 |
+
"loss": 2.395,
|
3088 |
+
"step": 244000
|
3089 |
+
},
|
3090 |
+
{
|
3091 |
+
"epoch": 92.23,
|
3092 |
+
"learning_rate": 2.4444444444444447e-06,
|
3093 |
+
"loss": 2.3963,
|
3094 |
+
"step": 244500
|
3095 |
+
},
|
3096 |
+
{
|
3097 |
+
"epoch": 92.42,
|
3098 |
+
"learning_rate": 2.2222222222222225e-06,
|
3099 |
+
"loss": 2.3944,
|
3100 |
+
"step": 245000
|
3101 |
+
},
|
3102 |
+
{
|
3103 |
+
"epoch": 92.61,
|
3104 |
+
"learning_rate": 2.0000000000000003e-06,
|
3105 |
+
"loss": 2.3951,
|
3106 |
+
"step": 245500
|
3107 |
+
},
|
3108 |
+
{
|
3109 |
+
"epoch": 92.79,
|
3110 |
+
"learning_rate": 1.777777777777778e-06,
|
3111 |
+
"loss": 2.3897,
|
3112 |
+
"step": 246000
|
3113 |
+
},
|
3114 |
+
{
|
3115 |
+
"epoch": 92.98,
|
3116 |
+
"learning_rate": 1.5555555555555556e-06,
|
3117 |
+
"loss": 2.3926,
|
3118 |
+
"step": 246500
|
3119 |
+
},
|
3120 |
+
{
|
3121 |
+
"epoch": 93.17,
|
3122 |
+
"learning_rate": 1.3333333333333334e-06,
|
3123 |
+
"loss": 2.3968,
|
3124 |
+
"step": 247000
|
3125 |
+
},
|
3126 |
+
{
|
3127 |
+
"epoch": 93.36,
|
3128 |
+
"learning_rate": 1.1111111111111112e-06,
|
3129 |
+
"loss": 2.3924,
|
3130 |
+
"step": 247500
|
3131 |
+
},
|
3132 |
+
{
|
3133 |
+
"epoch": 93.55,
|
3134 |
+
"learning_rate": 8.88888888888889e-07,
|
3135 |
+
"loss": 2.3908,
|
3136 |
+
"step": 248000
|
3137 |
+
},
|
3138 |
+
{
|
3139 |
+
"epoch": 93.74,
|
3140 |
+
"learning_rate": 6.666666666666667e-07,
|
3141 |
+
"loss": 2.3932,
|
3142 |
+
"step": 248500
|
3143 |
+
},
|
3144 |
+
{
|
3145 |
+
"epoch": 93.93,
|
3146 |
+
"learning_rate": 4.444444444444445e-07,
|
3147 |
+
"loss": 2.3942,
|
3148 |
+
"step": 249000
|
3149 |
+
},
|
3150 |
+
{
|
3151 |
+
"epoch": 94.12,
|
3152 |
+
"learning_rate": 2.2222222222222224e-07,
|
3153 |
+
"loss": 2.398,
|
3154 |
+
"step": 249500
|
3155 |
+
},
|
3156 |
+
{
|
3157 |
+
"epoch": 94.3,
|
3158 |
+
"learning_rate": 0.0,
|
3159 |
+
"loss": 2.3932,
|
3160 |
+
"step": 250000
|
3161 |
+
},
|
3162 |
+
{
|
3163 |
+
"epoch": 94.3,
|
3164 |
+
"eval_loss": 2.302946090698242,
|
3165 |
+
"eval_runtime": 283.7177,
|
3166 |
+
"eval_samples_per_second": 485.877,
|
3167 |
+
"eval_steps_per_second": 3.796,
|
3168 |
+
"step": 250000
|
3169 |
+
}
|
3170 |
+
],
|
3171 |
+
"max_steps": 250000,
|
3172 |
+
"num_train_epochs": 95,
|
3173 |
+
"total_flos": 4.2134352665063916e+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:f59ef38e343b6167de80144ed6d7d8e716282d43ed98908d70aad132c770e990
|
3 |
+
size 2927
|
vocab.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|