ccore commited on
Commit
afb21a1
1 Parent(s): 311d1da

Upload folder using huggingface_hub

Browse files
This view is limited to 50 files because it contains too many changes.   See raw diff
Files changed (50) hide show
  1. README.md +56 -1
  2. all_results.json +15 -0
  3. checkpoint-10000/config.json +26 -0
  4. checkpoint-10000/generation_config.json +10 -0
  5. checkpoint-10000/optimizer.pt +3 -0
  6. checkpoint-10000/pytorch_model.bin +3 -0
  7. checkpoint-10000/rng_state.pth +3 -0
  8. checkpoint-10000/scheduler.pt +3 -0
  9. checkpoint-10000/special_tokens_map.json +23 -0
  10. checkpoint-10000/tokenizer.json +0 -0
  11. checkpoint-10000/tokenizer.model +3 -0
  12. checkpoint-10000/tokenizer_config.json +34 -0
  13. checkpoint-10000/trainer_state.json +1219 -0
  14. checkpoint-10000/training_args.bin +3 -0
  15. checkpoint-2500/config.json +26 -0
  16. checkpoint-2500/generation_config.json +10 -0
  17. checkpoint-2500/optimizer.pt +3 -0
  18. checkpoint-2500/pytorch_model.bin +3 -0
  19. checkpoint-2500/rng_state.pth +3 -0
  20. checkpoint-2500/scheduler.pt +3 -0
  21. checkpoint-2500/special_tokens_map.json +23 -0
  22. checkpoint-2500/tokenizer.json +0 -0
  23. checkpoint-2500/tokenizer.model +3 -0
  24. checkpoint-2500/tokenizer_config.json +34 -0
  25. checkpoint-2500/trainer_state.json +319 -0
  26. checkpoint-2500/training_args.bin +3 -0
  27. checkpoint-5000/config.json +26 -0
  28. checkpoint-5000/generation_config.json +10 -0
  29. checkpoint-5000/optimizer.pt +3 -0
  30. checkpoint-5000/pytorch_model.bin +3 -0
  31. checkpoint-5000/rng_state.pth +3 -0
  32. checkpoint-5000/scheduler.pt +3 -0
  33. checkpoint-5000/special_tokens_map.json +23 -0
  34. checkpoint-5000/tokenizer.json +0 -0
  35. checkpoint-5000/tokenizer.model +3 -0
  36. checkpoint-5000/tokenizer_config.json +34 -0
  37. checkpoint-5000/trainer_state.json +619 -0
  38. checkpoint-5000/training_args.bin +3 -0
  39. checkpoint-7500/config.json +26 -0
  40. checkpoint-7500/generation_config.json +10 -0
  41. checkpoint-7500/optimizer.pt +3 -0
  42. checkpoint-7500/pytorch_model.bin +3 -0
  43. checkpoint-7500/rng_state.pth +3 -0
  44. checkpoint-7500/scheduler.pt +3 -0
  45. checkpoint-7500/special_tokens_map.json +23 -0
  46. checkpoint-7500/tokenizer.json +0 -0
  47. checkpoint-7500/tokenizer.model +3 -0
  48. checkpoint-7500/tokenizer_config.json +34 -0
  49. checkpoint-7500/trainer_state.json +919 -0
  50. checkpoint-7500/training_args.bin +3 -0
README.md CHANGED
@@ -1,3 +1,58 @@
1
  ---
2
- license: other
 
 
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
+ base_model: ./model
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - accuracy
7
+ model-index:
8
+ - name: core2
9
+ results: []
10
  ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # core2
16
+
17
+ This model is a fine-tuned version of [./model](https://huggingface.co/./model) on an unknown dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 2.5063
20
+ - Accuracy: 0.4398
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 0.0005
40
+ - train_batch_size: 1
41
+ - eval_batch_size: 8
42
+ - seed: 42
43
+ - gradient_accumulation_steps: 32
44
+ - total_train_batch_size: 32
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - num_epochs: 2.0
48
+
49
+ ### Training results
50
+
51
+
52
+
53
+ ### Framework versions
54
+
55
+ - Transformers 4.34.0.dev0
56
+ - Pytorch 2.0.1+cu117
57
+ - Datasets 2.14.5
58
+ - Tokenizers 0.13.3
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 2.0,
3
+ "eval_accuracy": 0.4398296543832928,
4
+ "eval_loss": 2.506345748901367,
5
+ "eval_runtime": 1.8254,
6
+ "eval_samples": 129,
7
+ "eval_samples_per_second": 70.668,
8
+ "eval_steps_per_second": 9.313,
9
+ "perplexity": 12.260046813591257,
10
+ "train_loss": 2.7760973889075786,
11
+ "train_runtime": 9463.0789,
12
+ "train_samples": 175957,
13
+ "train_samples_per_second": 37.188,
14
+ "train_steps_per_second": 1.162
15
+ }
checkpoint-10000/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./model",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "max_position_embeddings": 4096,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 1,
16
+ "num_key_value_heads": 32,
17
+ "pretraining_tp": 1,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 10000.0,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.34.0.dev0",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
checkpoint-10000/generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 4096,
6
+ "pad_token_id": 0,
7
+ "temperature": 0.6,
8
+ "top_p": 0.9,
9
+ "transformers_version": "4.34.0.dev0"
10
+ }
checkpoint-10000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:41076e3acef18331ccb4b67d45882cb5e570fbff15924546fdf459b34c982a84
3
+ size 1858136133
checkpoint-10000/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:88c8c9e828c5523a3a2c07b1e2ed4ca85a5960252aa9c6df1cfd4ede7b97b9a5
3
+ size 929067029
checkpoint-10000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:972139d83957a9cf2600cb6eeca17287d7a5377c33a53500ae7e13fe830ad36b
3
+ size 14575
checkpoint-10000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:daaefb409ebfffab618f0f30bfe53505107cc238d04f5c370bb638f9182e397e
3
+ size 627
checkpoint-10000/special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "unk_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
checkpoint-10000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-10000/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-10000/tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "__type": "AddedToken",
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "clean_up_tokenization_spaces": false,
11
+ "eos_token": {
12
+ "__type": "AddedToken",
13
+ "content": "</s>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "legacy": false,
20
+ "model_max_length": 1000000000000000019884624838656,
21
+ "pad_token": null,
22
+ "padding_side": "right",
23
+ "sp_model_kwargs": {},
24
+ "tokenizer_class": "LlamaTokenizer",
25
+ "unk_token": {
26
+ "__type": "AddedToken",
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "use_default_system_prompt": true
34
+ }
checkpoint-10000/trainer_state.json ADDED
@@ -0,0 +1,1219 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.8186261416141445,
5
+ "eval_steps": 500,
6
+ "global_step": 10000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 0.0004977264459803565,
14
+ "loss": 5.874,
15
+ "step": 50
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 0.0004954528919607129,
20
+ "loss": 4.0765,
21
+ "step": 100
22
+ },
23
+ {
24
+ "epoch": 0.03,
25
+ "learning_rate": 0.0004931793379410695,
26
+ "loss": 3.7752,
27
+ "step": 150
28
+ },
29
+ {
30
+ "epoch": 0.04,
31
+ "learning_rate": 0.000490905783921426,
32
+ "loss": 3.6357,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 0.05,
37
+ "learning_rate": 0.0004886322299017824,
38
+ "loss": 3.5374,
39
+ "step": 250
40
+ },
41
+ {
42
+ "epoch": 0.05,
43
+ "learning_rate": 0.00048635867588213893,
44
+ "loss": 3.4875,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 0.06,
49
+ "learning_rate": 0.0004840851218624955,
50
+ "loss": 3.411,
51
+ "step": 350
52
+ },
53
+ {
54
+ "epoch": 0.07,
55
+ "learning_rate": 0.00048181156784285196,
56
+ "loss": 3.3791,
57
+ "step": 400
58
+ },
59
+ {
60
+ "epoch": 0.08,
61
+ "learning_rate": 0.0004795380138232084,
62
+ "loss": 3.3377,
63
+ "step": 450
64
+ },
65
+ {
66
+ "epoch": 0.09,
67
+ "learning_rate": 0.00047726445980356494,
68
+ "loss": 3.292,
69
+ "step": 500
70
+ },
71
+ {
72
+ "epoch": 0.1,
73
+ "learning_rate": 0.00047499090578392145,
74
+ "loss": 3.2765,
75
+ "step": 550
76
+ },
77
+ {
78
+ "epoch": 0.11,
79
+ "learning_rate": 0.0004727173517642779,
80
+ "loss": 3.2584,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 0.12,
85
+ "learning_rate": 0.0004704437977446344,
86
+ "loss": 3.2319,
87
+ "step": 650
88
+ },
89
+ {
90
+ "epoch": 0.13,
91
+ "learning_rate": 0.0004681702437249909,
92
+ "loss": 3.2021,
93
+ "step": 700
94
+ },
95
+ {
96
+ "epoch": 0.14,
97
+ "learning_rate": 0.00046589668970534745,
98
+ "loss": 3.1816,
99
+ "step": 750
100
+ },
101
+ {
102
+ "epoch": 0.15,
103
+ "learning_rate": 0.0004636231356857039,
104
+ "loss": 3.165,
105
+ "step": 800
106
+ },
107
+ {
108
+ "epoch": 0.15,
109
+ "learning_rate": 0.0004613495816660604,
110
+ "loss": 3.1436,
111
+ "step": 850
112
+ },
113
+ {
114
+ "epoch": 0.16,
115
+ "learning_rate": 0.0004590760276464169,
116
+ "loss": 3.1491,
117
+ "step": 900
118
+ },
119
+ {
120
+ "epoch": 0.17,
121
+ "learning_rate": 0.0004568024736267734,
122
+ "loss": 3.1343,
123
+ "step": 950
124
+ },
125
+ {
126
+ "epoch": 0.18,
127
+ "learning_rate": 0.00045452891960712986,
128
+ "loss": 3.1208,
129
+ "step": 1000
130
+ },
131
+ {
132
+ "epoch": 0.19,
133
+ "learning_rate": 0.0004522553655874864,
134
+ "loss": 3.0954,
135
+ "step": 1050
136
+ },
137
+ {
138
+ "epoch": 0.2,
139
+ "learning_rate": 0.00044998181156784284,
140
+ "loss": 3.0963,
141
+ "step": 1100
142
+ },
143
+ {
144
+ "epoch": 0.21,
145
+ "learning_rate": 0.00044770825754819935,
146
+ "loss": 3.098,
147
+ "step": 1150
148
+ },
149
+ {
150
+ "epoch": 0.22,
151
+ "learning_rate": 0.00044543470352855586,
152
+ "loss": 3.0695,
153
+ "step": 1200
154
+ },
155
+ {
156
+ "epoch": 0.23,
157
+ "learning_rate": 0.0004431611495089123,
158
+ "loss": 3.0785,
159
+ "step": 1250
160
+ },
161
+ {
162
+ "epoch": 0.24,
163
+ "learning_rate": 0.00044088759548926884,
164
+ "loss": 3.0524,
165
+ "step": 1300
166
+ },
167
+ {
168
+ "epoch": 0.25,
169
+ "learning_rate": 0.0004386140414696253,
170
+ "loss": 3.0275,
171
+ "step": 1350
172
+ },
173
+ {
174
+ "epoch": 0.25,
175
+ "learning_rate": 0.0004363404874499818,
176
+ "loss": 3.0368,
177
+ "step": 1400
178
+ },
179
+ {
180
+ "epoch": 0.26,
181
+ "learning_rate": 0.00043406693343033833,
182
+ "loss": 3.0177,
183
+ "step": 1450
184
+ },
185
+ {
186
+ "epoch": 0.27,
187
+ "learning_rate": 0.0004317933794106948,
188
+ "loss": 3.0117,
189
+ "step": 1500
190
+ },
191
+ {
192
+ "epoch": 0.28,
193
+ "learning_rate": 0.0004295198253910513,
194
+ "loss": 3.0023,
195
+ "step": 1550
196
+ },
197
+ {
198
+ "epoch": 0.29,
199
+ "learning_rate": 0.0004272462713714078,
200
+ "loss": 2.9814,
201
+ "step": 1600
202
+ },
203
+ {
204
+ "epoch": 0.3,
205
+ "learning_rate": 0.0004249727173517643,
206
+ "loss": 2.9867,
207
+ "step": 1650
208
+ },
209
+ {
210
+ "epoch": 0.31,
211
+ "learning_rate": 0.0004226991633321208,
212
+ "loss": 2.991,
213
+ "step": 1700
214
+ },
215
+ {
216
+ "epoch": 0.32,
217
+ "learning_rate": 0.00042042560931247725,
218
+ "loss": 2.9764,
219
+ "step": 1750
220
+ },
221
+ {
222
+ "epoch": 0.33,
223
+ "learning_rate": 0.00041815205529283376,
224
+ "loss": 2.9587,
225
+ "step": 1800
226
+ },
227
+ {
228
+ "epoch": 0.34,
229
+ "learning_rate": 0.0004158785012731903,
230
+ "loss": 2.9651,
231
+ "step": 1850
232
+ },
233
+ {
234
+ "epoch": 0.35,
235
+ "learning_rate": 0.00041360494725354674,
236
+ "loss": 2.9606,
237
+ "step": 1900
238
+ },
239
+ {
240
+ "epoch": 0.35,
241
+ "learning_rate": 0.00041133139323390325,
242
+ "loss": 2.9448,
243
+ "step": 1950
244
+ },
245
+ {
246
+ "epoch": 0.36,
247
+ "learning_rate": 0.00040905783921425977,
248
+ "loss": 2.9585,
249
+ "step": 2000
250
+ },
251
+ {
252
+ "epoch": 0.37,
253
+ "learning_rate": 0.00040678428519461623,
254
+ "loss": 2.9607,
255
+ "step": 2050
256
+ },
257
+ {
258
+ "epoch": 0.38,
259
+ "learning_rate": 0.00040451073117497274,
260
+ "loss": 2.9199,
261
+ "step": 2100
262
+ },
263
+ {
264
+ "epoch": 0.39,
265
+ "learning_rate": 0.0004022371771553292,
266
+ "loss": 2.9303,
267
+ "step": 2150
268
+ },
269
+ {
270
+ "epoch": 0.4,
271
+ "learning_rate": 0.0003999636231356857,
272
+ "loss": 2.9353,
273
+ "step": 2200
274
+ },
275
+ {
276
+ "epoch": 0.41,
277
+ "learning_rate": 0.00039769006911604223,
278
+ "loss": 2.9123,
279
+ "step": 2250
280
+ },
281
+ {
282
+ "epoch": 0.42,
283
+ "learning_rate": 0.0003954165150963987,
284
+ "loss": 2.9161,
285
+ "step": 2300
286
+ },
287
+ {
288
+ "epoch": 0.43,
289
+ "learning_rate": 0.0003931429610767552,
290
+ "loss": 2.9146,
291
+ "step": 2350
292
+ },
293
+ {
294
+ "epoch": 0.44,
295
+ "learning_rate": 0.00039086940705711167,
296
+ "loss": 2.9086,
297
+ "step": 2400
298
+ },
299
+ {
300
+ "epoch": 0.45,
301
+ "learning_rate": 0.0003885958530374682,
302
+ "loss": 2.9094,
303
+ "step": 2450
304
+ },
305
+ {
306
+ "epoch": 0.45,
307
+ "learning_rate": 0.0003863222990178247,
308
+ "loss": 2.8968,
309
+ "step": 2500
310
+ },
311
+ {
312
+ "epoch": 0.46,
313
+ "learning_rate": 0.00038404874499818115,
314
+ "loss": 2.9008,
315
+ "step": 2550
316
+ },
317
+ {
318
+ "epoch": 0.47,
319
+ "learning_rate": 0.0003817751909785376,
320
+ "loss": 2.8836,
321
+ "step": 2600
322
+ },
323
+ {
324
+ "epoch": 0.48,
325
+ "learning_rate": 0.0003795016369588942,
326
+ "loss": 2.8773,
327
+ "step": 2650
328
+ },
329
+ {
330
+ "epoch": 0.49,
331
+ "learning_rate": 0.00037722808293925064,
332
+ "loss": 2.8648,
333
+ "step": 2700
334
+ },
335
+ {
336
+ "epoch": 0.5,
337
+ "learning_rate": 0.00037495452891960716,
338
+ "loss": 2.8699,
339
+ "step": 2750
340
+ },
341
+ {
342
+ "epoch": 0.51,
343
+ "learning_rate": 0.0003726809748999636,
344
+ "loss": 2.8693,
345
+ "step": 2800
346
+ },
347
+ {
348
+ "epoch": 0.52,
349
+ "learning_rate": 0.00037040742088032013,
350
+ "loss": 2.8619,
351
+ "step": 2850
352
+ },
353
+ {
354
+ "epoch": 0.53,
355
+ "learning_rate": 0.00036813386686067665,
356
+ "loss": 2.8591,
357
+ "step": 2900
358
+ },
359
+ {
360
+ "epoch": 0.54,
361
+ "learning_rate": 0.0003658603128410331,
362
+ "loss": 2.8614,
363
+ "step": 2950
364
+ },
365
+ {
366
+ "epoch": 0.55,
367
+ "learning_rate": 0.00036358675882138957,
368
+ "loss": 2.8605,
369
+ "step": 3000
370
+ },
371
+ {
372
+ "epoch": 0.55,
373
+ "learning_rate": 0.00036131320480174613,
374
+ "loss": 2.8357,
375
+ "step": 3050
376
+ },
377
+ {
378
+ "epoch": 0.56,
379
+ "learning_rate": 0.0003590396507821026,
380
+ "loss": 2.847,
381
+ "step": 3100
382
+ },
383
+ {
384
+ "epoch": 0.57,
385
+ "learning_rate": 0.00035676609676245905,
386
+ "loss": 2.8503,
387
+ "step": 3150
388
+ },
389
+ {
390
+ "epoch": 0.58,
391
+ "learning_rate": 0.00035449254274281557,
392
+ "loss": 2.8334,
393
+ "step": 3200
394
+ },
395
+ {
396
+ "epoch": 0.59,
397
+ "learning_rate": 0.0003522189887231721,
398
+ "loss": 2.8424,
399
+ "step": 3250
400
+ },
401
+ {
402
+ "epoch": 0.6,
403
+ "learning_rate": 0.0003499454347035286,
404
+ "loss": 2.8295,
405
+ "step": 3300
406
+ },
407
+ {
408
+ "epoch": 0.61,
409
+ "learning_rate": 0.00034767188068388506,
410
+ "loss": 2.8359,
411
+ "step": 3350
412
+ },
413
+ {
414
+ "epoch": 0.62,
415
+ "learning_rate": 0.0003453983266642415,
416
+ "loss": 2.8252,
417
+ "step": 3400
418
+ },
419
+ {
420
+ "epoch": 0.63,
421
+ "learning_rate": 0.00034312477264459803,
422
+ "loss": 2.82,
423
+ "step": 3450
424
+ },
425
+ {
426
+ "epoch": 0.64,
427
+ "learning_rate": 0.00034085121862495455,
428
+ "loss": 2.8134,
429
+ "step": 3500
430
+ },
431
+ {
432
+ "epoch": 0.65,
433
+ "learning_rate": 0.000338577664605311,
434
+ "loss": 2.8168,
435
+ "step": 3550
436
+ },
437
+ {
438
+ "epoch": 0.65,
439
+ "learning_rate": 0.0003363041105856675,
440
+ "loss": 2.8248,
441
+ "step": 3600
442
+ },
443
+ {
444
+ "epoch": 0.66,
445
+ "learning_rate": 0.000334030556566024,
446
+ "loss": 2.8096,
447
+ "step": 3650
448
+ },
449
+ {
450
+ "epoch": 0.67,
451
+ "learning_rate": 0.00033175700254638055,
452
+ "loss": 2.8154,
453
+ "step": 3700
454
+ },
455
+ {
456
+ "epoch": 0.68,
457
+ "learning_rate": 0.000329483448526737,
458
+ "loss": 2.8015,
459
+ "step": 3750
460
+ },
461
+ {
462
+ "epoch": 0.69,
463
+ "learning_rate": 0.00032720989450709347,
464
+ "loss": 2.8024,
465
+ "step": 3800
466
+ },
467
+ {
468
+ "epoch": 0.7,
469
+ "learning_rate": 0.00032493634048745,
470
+ "loss": 2.7998,
471
+ "step": 3850
472
+ },
473
+ {
474
+ "epoch": 0.71,
475
+ "learning_rate": 0.0003226627864678065,
476
+ "loss": 2.8011,
477
+ "step": 3900
478
+ },
479
+ {
480
+ "epoch": 0.72,
481
+ "learning_rate": 0.00032038923244816296,
482
+ "loss": 2.7963,
483
+ "step": 3950
484
+ },
485
+ {
486
+ "epoch": 0.73,
487
+ "learning_rate": 0.00031811567842851947,
488
+ "loss": 2.7863,
489
+ "step": 4000
490
+ },
491
+ {
492
+ "epoch": 0.74,
493
+ "learning_rate": 0.00031584212440887593,
494
+ "loss": 2.7973,
495
+ "step": 4050
496
+ },
497
+ {
498
+ "epoch": 0.75,
499
+ "learning_rate": 0.0003135685703892325,
500
+ "loss": 2.788,
501
+ "step": 4100
502
+ },
503
+ {
504
+ "epoch": 0.75,
505
+ "learning_rate": 0.00031129501636958896,
506
+ "loss": 2.8026,
507
+ "step": 4150
508
+ },
509
+ {
510
+ "epoch": 0.76,
511
+ "learning_rate": 0.0003090214623499454,
512
+ "loss": 2.7902,
513
+ "step": 4200
514
+ },
515
+ {
516
+ "epoch": 0.77,
517
+ "learning_rate": 0.00030674790833030193,
518
+ "loss": 2.7684,
519
+ "step": 4250
520
+ },
521
+ {
522
+ "epoch": 0.78,
523
+ "learning_rate": 0.00030447435431065845,
524
+ "loss": 2.7846,
525
+ "step": 4300
526
+ },
527
+ {
528
+ "epoch": 0.79,
529
+ "learning_rate": 0.0003022008002910149,
530
+ "loss": 2.7703,
531
+ "step": 4350
532
+ },
533
+ {
534
+ "epoch": 0.8,
535
+ "learning_rate": 0.0002999272462713714,
536
+ "loss": 2.7746,
537
+ "step": 4400
538
+ },
539
+ {
540
+ "epoch": 0.81,
541
+ "learning_rate": 0.0002976536922517279,
542
+ "loss": 2.7674,
543
+ "step": 4450
544
+ },
545
+ {
546
+ "epoch": 0.82,
547
+ "learning_rate": 0.00029538013823208445,
548
+ "loss": 2.7686,
549
+ "step": 4500
550
+ },
551
+ {
552
+ "epoch": 0.83,
553
+ "learning_rate": 0.0002931065842124409,
554
+ "loss": 2.7773,
555
+ "step": 4550
556
+ },
557
+ {
558
+ "epoch": 0.84,
559
+ "learning_rate": 0.00029083303019279737,
560
+ "loss": 2.7475,
561
+ "step": 4600
562
+ },
563
+ {
564
+ "epoch": 0.85,
565
+ "learning_rate": 0.0002885594761731539,
566
+ "loss": 2.7616,
567
+ "step": 4650
568
+ },
569
+ {
570
+ "epoch": 0.85,
571
+ "learning_rate": 0.00028628592215351035,
572
+ "loss": 2.756,
573
+ "step": 4700
574
+ },
575
+ {
576
+ "epoch": 0.86,
577
+ "learning_rate": 0.00028401236813386686,
578
+ "loss": 2.7548,
579
+ "step": 4750
580
+ },
581
+ {
582
+ "epoch": 0.87,
583
+ "learning_rate": 0.0002817388141142234,
584
+ "loss": 2.7499,
585
+ "step": 4800
586
+ },
587
+ {
588
+ "epoch": 0.88,
589
+ "learning_rate": 0.00027946526009457983,
590
+ "loss": 2.7637,
591
+ "step": 4850
592
+ },
593
+ {
594
+ "epoch": 0.89,
595
+ "learning_rate": 0.00027719170607493635,
596
+ "loss": 2.7349,
597
+ "step": 4900
598
+ },
599
+ {
600
+ "epoch": 0.9,
601
+ "learning_rate": 0.00027491815205529286,
602
+ "loss": 2.7346,
603
+ "step": 4950
604
+ },
605
+ {
606
+ "epoch": 0.91,
607
+ "learning_rate": 0.0002726445980356493,
608
+ "loss": 2.7384,
609
+ "step": 5000
610
+ },
611
+ {
612
+ "epoch": 0.92,
613
+ "learning_rate": 0.00027037104401600584,
614
+ "loss": 2.724,
615
+ "step": 5050
616
+ },
617
+ {
618
+ "epoch": 0.93,
619
+ "learning_rate": 0.0002680974899963623,
620
+ "loss": 2.7508,
621
+ "step": 5100
622
+ },
623
+ {
624
+ "epoch": 0.94,
625
+ "learning_rate": 0.0002658239359767188,
626
+ "loss": 2.7523,
627
+ "step": 5150
628
+ },
629
+ {
630
+ "epoch": 0.95,
631
+ "learning_rate": 0.0002635503819570753,
632
+ "loss": 2.7298,
633
+ "step": 5200
634
+ },
635
+ {
636
+ "epoch": 0.95,
637
+ "learning_rate": 0.0002612768279374318,
638
+ "loss": 2.7281,
639
+ "step": 5250
640
+ },
641
+ {
642
+ "epoch": 0.96,
643
+ "learning_rate": 0.0002590032739177883,
644
+ "loss": 2.7215,
645
+ "step": 5300
646
+ },
647
+ {
648
+ "epoch": 0.97,
649
+ "learning_rate": 0.0002567297198981448,
650
+ "loss": 2.7318,
651
+ "step": 5350
652
+ },
653
+ {
654
+ "epoch": 0.98,
655
+ "learning_rate": 0.0002544561658785013,
656
+ "loss": 2.7282,
657
+ "step": 5400
658
+ },
659
+ {
660
+ "epoch": 0.99,
661
+ "learning_rate": 0.0002521826118588578,
662
+ "loss": 2.7313,
663
+ "step": 5450
664
+ },
665
+ {
666
+ "epoch": 1.0,
667
+ "learning_rate": 0.0002499090578392143,
668
+ "loss": 2.7133,
669
+ "step": 5500
670
+ },
671
+ {
672
+ "epoch": 1.01,
673
+ "learning_rate": 0.00024763550381957076,
674
+ "loss": 2.6344,
675
+ "step": 5550
676
+ },
677
+ {
678
+ "epoch": 1.02,
679
+ "learning_rate": 0.0002453619497999273,
680
+ "loss": 2.6231,
681
+ "step": 5600
682
+ },
683
+ {
684
+ "epoch": 1.03,
685
+ "learning_rate": 0.00024308839578028374,
686
+ "loss": 2.609,
687
+ "step": 5650
688
+ },
689
+ {
690
+ "epoch": 1.04,
691
+ "learning_rate": 0.00024081484176064022,
692
+ "loss": 2.6154,
693
+ "step": 5700
694
+ },
695
+ {
696
+ "epoch": 1.05,
697
+ "learning_rate": 0.00023854128774099674,
698
+ "loss": 2.6371,
699
+ "step": 5750
700
+ },
701
+ {
702
+ "epoch": 1.05,
703
+ "learning_rate": 0.0002362677337213532,
704
+ "loss": 2.6082,
705
+ "step": 5800
706
+ },
707
+ {
708
+ "epoch": 1.06,
709
+ "learning_rate": 0.0002339941797017097,
710
+ "loss": 2.6218,
711
+ "step": 5850
712
+ },
713
+ {
714
+ "epoch": 1.07,
715
+ "learning_rate": 0.0002317206256820662,
716
+ "loss": 2.6284,
717
+ "step": 5900
718
+ },
719
+ {
720
+ "epoch": 1.08,
721
+ "learning_rate": 0.00022944707166242271,
722
+ "loss": 2.6191,
723
+ "step": 5950
724
+ },
725
+ {
726
+ "epoch": 1.09,
727
+ "learning_rate": 0.00022717351764277917,
728
+ "loss": 2.6252,
729
+ "step": 6000
730
+ },
731
+ {
732
+ "epoch": 1.1,
733
+ "learning_rate": 0.0002248999636231357,
734
+ "loss": 2.6266,
735
+ "step": 6050
736
+ },
737
+ {
738
+ "epoch": 1.11,
739
+ "learning_rate": 0.00022262640960349218,
740
+ "loss": 2.6426,
741
+ "step": 6100
742
+ },
743
+ {
744
+ "epoch": 1.12,
745
+ "learning_rate": 0.0002203528555838487,
746
+ "loss": 2.6072,
747
+ "step": 6150
748
+ },
749
+ {
750
+ "epoch": 1.13,
751
+ "learning_rate": 0.00021807930156420515,
752
+ "loss": 2.614,
753
+ "step": 6200
754
+ },
755
+ {
756
+ "epoch": 1.14,
757
+ "learning_rate": 0.00021580574754456166,
758
+ "loss": 2.5959,
759
+ "step": 6250
760
+ },
761
+ {
762
+ "epoch": 1.15,
763
+ "learning_rate": 0.00021353219352491815,
764
+ "loss": 2.6065,
765
+ "step": 6300
766
+ },
767
+ {
768
+ "epoch": 1.15,
769
+ "learning_rate": 0.00021125863950527467,
770
+ "loss": 2.6163,
771
+ "step": 6350
772
+ },
773
+ {
774
+ "epoch": 1.16,
775
+ "learning_rate": 0.00020898508548563113,
776
+ "loss": 2.6083,
777
+ "step": 6400
778
+ },
779
+ {
780
+ "epoch": 1.17,
781
+ "learning_rate": 0.00020671153146598764,
782
+ "loss": 2.6119,
783
+ "step": 6450
784
+ },
785
+ {
786
+ "epoch": 1.18,
787
+ "learning_rate": 0.00020443797744634413,
788
+ "loss": 2.6023,
789
+ "step": 6500
790
+ },
791
+ {
792
+ "epoch": 1.19,
793
+ "learning_rate": 0.00020216442342670064,
794
+ "loss": 2.6086,
795
+ "step": 6550
796
+ },
797
+ {
798
+ "epoch": 1.2,
799
+ "learning_rate": 0.0001998908694070571,
800
+ "loss": 2.5988,
801
+ "step": 6600
802
+ },
803
+ {
804
+ "epoch": 1.21,
805
+ "learning_rate": 0.00019761731538741362,
806
+ "loss": 2.6046,
807
+ "step": 6650
808
+ },
809
+ {
810
+ "epoch": 1.22,
811
+ "learning_rate": 0.0001953437613677701,
812
+ "loss": 2.5929,
813
+ "step": 6700
814
+ },
815
+ {
816
+ "epoch": 1.23,
817
+ "learning_rate": 0.00019307020734812662,
818
+ "loss": 2.5935,
819
+ "step": 6750
820
+ },
821
+ {
822
+ "epoch": 1.24,
823
+ "learning_rate": 0.00019079665332848308,
824
+ "loss": 2.5875,
825
+ "step": 6800
826
+ },
827
+ {
828
+ "epoch": 1.25,
829
+ "learning_rate": 0.00018852309930883956,
830
+ "loss": 2.6001,
831
+ "step": 6850
832
+ },
833
+ {
834
+ "epoch": 1.25,
835
+ "learning_rate": 0.00018624954528919608,
836
+ "loss": 2.6021,
837
+ "step": 6900
838
+ },
839
+ {
840
+ "epoch": 1.26,
841
+ "learning_rate": 0.00018397599126955257,
842
+ "loss": 2.5887,
843
+ "step": 6950
844
+ },
845
+ {
846
+ "epoch": 1.27,
847
+ "learning_rate": 0.00018170243724990905,
848
+ "loss": 2.6022,
849
+ "step": 7000
850
+ },
851
+ {
852
+ "epoch": 1.28,
853
+ "learning_rate": 0.00017942888323026554,
854
+ "loss": 2.5965,
855
+ "step": 7050
856
+ },
857
+ {
858
+ "epoch": 1.29,
859
+ "learning_rate": 0.00017715532921062205,
860
+ "loss": 2.5879,
861
+ "step": 7100
862
+ },
863
+ {
864
+ "epoch": 1.3,
865
+ "learning_rate": 0.00017488177519097854,
866
+ "loss": 2.5935,
867
+ "step": 7150
868
+ },
869
+ {
870
+ "epoch": 1.31,
871
+ "learning_rate": 0.00017260822117133503,
872
+ "loss": 2.6041,
873
+ "step": 7200
874
+ },
875
+ {
876
+ "epoch": 1.32,
877
+ "learning_rate": 0.00017033466715169152,
878
+ "loss": 2.6041,
879
+ "step": 7250
880
+ },
881
+ {
882
+ "epoch": 1.33,
883
+ "learning_rate": 0.00016806111313204803,
884
+ "loss": 2.6024,
885
+ "step": 7300
886
+ },
887
+ {
888
+ "epoch": 1.34,
889
+ "learning_rate": 0.00016578755911240452,
890
+ "loss": 2.5995,
891
+ "step": 7350
892
+ },
893
+ {
894
+ "epoch": 1.35,
895
+ "learning_rate": 0.000163514005092761,
896
+ "loss": 2.5959,
897
+ "step": 7400
898
+ },
899
+ {
900
+ "epoch": 1.35,
901
+ "learning_rate": 0.0001612404510731175,
902
+ "loss": 2.579,
903
+ "step": 7450
904
+ },
905
+ {
906
+ "epoch": 1.36,
907
+ "learning_rate": 0.000158966897053474,
908
+ "loss": 2.5807,
909
+ "step": 7500
910
+ },
911
+ {
912
+ "epoch": 1.37,
913
+ "learning_rate": 0.0001566933430338305,
914
+ "loss": 2.5922,
915
+ "step": 7550
916
+ },
917
+ {
918
+ "epoch": 1.38,
919
+ "learning_rate": 0.00015441978901418698,
920
+ "loss": 2.5729,
921
+ "step": 7600
922
+ },
923
+ {
924
+ "epoch": 1.39,
925
+ "learning_rate": 0.00015214623499454347,
926
+ "loss": 2.5677,
927
+ "step": 7650
928
+ },
929
+ {
930
+ "epoch": 1.4,
931
+ "learning_rate": 0.00014987268097489998,
932
+ "loss": 2.5841,
933
+ "step": 7700
934
+ },
935
+ {
936
+ "epoch": 1.41,
937
+ "learning_rate": 0.00014759912695525647,
938
+ "loss": 2.5908,
939
+ "step": 7750
940
+ },
941
+ {
942
+ "epoch": 1.42,
943
+ "learning_rate": 0.00014532557293561296,
944
+ "loss": 2.5857,
945
+ "step": 7800
946
+ },
947
+ {
948
+ "epoch": 1.43,
949
+ "learning_rate": 0.00014305201891596944,
950
+ "loss": 2.588,
951
+ "step": 7850
952
+ },
953
+ {
954
+ "epoch": 1.44,
955
+ "learning_rate": 0.00014077846489632596,
956
+ "loss": 2.5843,
957
+ "step": 7900
958
+ },
959
+ {
960
+ "epoch": 1.45,
961
+ "learning_rate": 0.00013850491087668244,
962
+ "loss": 2.5802,
963
+ "step": 7950
964
+ },
965
+ {
966
+ "epoch": 1.45,
967
+ "learning_rate": 0.0001362313568570389,
968
+ "loss": 2.5631,
969
+ "step": 8000
970
+ },
971
+ {
972
+ "epoch": 1.46,
973
+ "learning_rate": 0.00013395780283739542,
974
+ "loss": 2.5767,
975
+ "step": 8050
976
+ },
977
+ {
978
+ "epoch": 1.47,
979
+ "learning_rate": 0.0001316842488177519,
980
+ "loss": 2.563,
981
+ "step": 8100
982
+ },
983
+ {
984
+ "epoch": 1.48,
985
+ "learning_rate": 0.00012941069479810842,
986
+ "loss": 2.5844,
987
+ "step": 8150
988
+ },
989
+ {
990
+ "epoch": 1.49,
991
+ "learning_rate": 0.00012713714077846488,
992
+ "loss": 2.5721,
993
+ "step": 8200
994
+ },
995
+ {
996
+ "epoch": 1.5,
997
+ "learning_rate": 0.0001248635867588214,
998
+ "loss": 2.5871,
999
+ "step": 8250
1000
+ },
1001
+ {
1002
+ "epoch": 1.51,
1003
+ "learning_rate": 0.00012259003273917788,
1004
+ "loss": 2.5781,
1005
+ "step": 8300
1006
+ },
1007
+ {
1008
+ "epoch": 1.52,
1009
+ "learning_rate": 0.00012031647871953438,
1010
+ "loss": 2.5646,
1011
+ "step": 8350
1012
+ },
1013
+ {
1014
+ "epoch": 1.53,
1015
+ "learning_rate": 0.00011804292469989088,
1016
+ "loss": 2.5614,
1017
+ "step": 8400
1018
+ },
1019
+ {
1020
+ "epoch": 1.54,
1021
+ "learning_rate": 0.00011576937068024737,
1022
+ "loss": 2.568,
1023
+ "step": 8450
1024
+ },
1025
+ {
1026
+ "epoch": 1.55,
1027
+ "learning_rate": 0.00011349581666060387,
1028
+ "loss": 2.5592,
1029
+ "step": 8500
1030
+ },
1031
+ {
1032
+ "epoch": 1.55,
1033
+ "learning_rate": 0.00011122226264096034,
1034
+ "loss": 2.5672,
1035
+ "step": 8550
1036
+ },
1037
+ {
1038
+ "epoch": 1.56,
1039
+ "learning_rate": 0.00010894870862131685,
1040
+ "loss": 2.5649,
1041
+ "step": 8600
1042
+ },
1043
+ {
1044
+ "epoch": 1.57,
1045
+ "learning_rate": 0.00010667515460167333,
1046
+ "loss": 2.5686,
1047
+ "step": 8650
1048
+ },
1049
+ {
1050
+ "epoch": 1.58,
1051
+ "learning_rate": 0.00010440160058202983,
1052
+ "loss": 2.5758,
1053
+ "step": 8700
1054
+ },
1055
+ {
1056
+ "epoch": 1.59,
1057
+ "learning_rate": 0.00010212804656238632,
1058
+ "loss": 2.565,
1059
+ "step": 8750
1060
+ },
1061
+ {
1062
+ "epoch": 1.6,
1063
+ "learning_rate": 9.985449254274281e-05,
1064
+ "loss": 2.5904,
1065
+ "step": 8800
1066
+ },
1067
+ {
1068
+ "epoch": 1.61,
1069
+ "learning_rate": 9.758093852309931e-05,
1070
+ "loss": 2.5668,
1071
+ "step": 8850
1072
+ },
1073
+ {
1074
+ "epoch": 1.62,
1075
+ "learning_rate": 9.53073845034558e-05,
1076
+ "loss": 2.5714,
1077
+ "step": 8900
1078
+ },
1079
+ {
1080
+ "epoch": 1.63,
1081
+ "learning_rate": 9.30338304838123e-05,
1082
+ "loss": 2.5511,
1083
+ "step": 8950
1084
+ },
1085
+ {
1086
+ "epoch": 1.64,
1087
+ "learning_rate": 9.076027646416878e-05,
1088
+ "loss": 2.5756,
1089
+ "step": 9000
1090
+ },
1091
+ {
1092
+ "epoch": 1.65,
1093
+ "learning_rate": 8.848672244452528e-05,
1094
+ "loss": 2.5688,
1095
+ "step": 9050
1096
+ },
1097
+ {
1098
+ "epoch": 1.65,
1099
+ "learning_rate": 8.621316842488177e-05,
1100
+ "loss": 2.5567,
1101
+ "step": 9100
1102
+ },
1103
+ {
1104
+ "epoch": 1.66,
1105
+ "learning_rate": 8.393961440523827e-05,
1106
+ "loss": 2.561,
1107
+ "step": 9150
1108
+ },
1109
+ {
1110
+ "epoch": 1.67,
1111
+ "learning_rate": 8.166606038559476e-05,
1112
+ "loss": 2.5525,
1113
+ "step": 9200
1114
+ },
1115
+ {
1116
+ "epoch": 1.68,
1117
+ "learning_rate": 7.939250636595126e-05,
1118
+ "loss": 2.5665,
1119
+ "step": 9250
1120
+ },
1121
+ {
1122
+ "epoch": 1.69,
1123
+ "learning_rate": 7.711895234630775e-05,
1124
+ "loss": 2.5686,
1125
+ "step": 9300
1126
+ },
1127
+ {
1128
+ "epoch": 1.7,
1129
+ "learning_rate": 7.484539832666425e-05,
1130
+ "loss": 2.5627,
1131
+ "step": 9350
1132
+ },
1133
+ {
1134
+ "epoch": 1.71,
1135
+ "learning_rate": 7.257184430702073e-05,
1136
+ "loss": 2.5454,
1137
+ "step": 9400
1138
+ },
1139
+ {
1140
+ "epoch": 1.72,
1141
+ "learning_rate": 7.029829028737724e-05,
1142
+ "loss": 2.5677,
1143
+ "step": 9450
1144
+ },
1145
+ {
1146
+ "epoch": 1.73,
1147
+ "learning_rate": 6.802473626773372e-05,
1148
+ "loss": 2.572,
1149
+ "step": 9500
1150
+ },
1151
+ {
1152
+ "epoch": 1.74,
1153
+ "learning_rate": 6.575118224809022e-05,
1154
+ "loss": 2.5468,
1155
+ "step": 9550
1156
+ },
1157
+ {
1158
+ "epoch": 1.75,
1159
+ "learning_rate": 6.347762822844671e-05,
1160
+ "loss": 2.5627,
1161
+ "step": 9600
1162
+ },
1163
+ {
1164
+ "epoch": 1.75,
1165
+ "learning_rate": 6.12040742088032e-05,
1166
+ "loss": 2.5523,
1167
+ "step": 9650
1168
+ },
1169
+ {
1170
+ "epoch": 1.76,
1171
+ "learning_rate": 5.89305201891597e-05,
1172
+ "loss": 2.559,
1173
+ "step": 9700
1174
+ },
1175
+ {
1176
+ "epoch": 1.77,
1177
+ "learning_rate": 5.665696616951619e-05,
1178
+ "loss": 2.5542,
1179
+ "step": 9750
1180
+ },
1181
+ {
1182
+ "epoch": 1.78,
1183
+ "learning_rate": 5.4383412149872686e-05,
1184
+ "loss": 2.5632,
1185
+ "step": 9800
1186
+ },
1187
+ {
1188
+ "epoch": 1.79,
1189
+ "learning_rate": 5.210985813022918e-05,
1190
+ "loss": 2.5646,
1191
+ "step": 9850
1192
+ },
1193
+ {
1194
+ "epoch": 1.8,
1195
+ "learning_rate": 4.9836304110585674e-05,
1196
+ "loss": 2.545,
1197
+ "step": 9900
1198
+ },
1199
+ {
1200
+ "epoch": 1.81,
1201
+ "learning_rate": 4.756275009094216e-05,
1202
+ "loss": 2.5525,
1203
+ "step": 9950
1204
+ },
1205
+ {
1206
+ "epoch": 1.82,
1207
+ "learning_rate": 4.5289196071298655e-05,
1208
+ "loss": 2.5823,
1209
+ "step": 10000
1210
+ }
1211
+ ],
1212
+ "logging_steps": 50,
1213
+ "max_steps": 10996,
1214
+ "num_train_epochs": 2,
1215
+ "save_steps": 2500,
1216
+ "total_flos": 6.5560796725248e+17,
1217
+ "trial_name": null,
1218
+ "trial_params": null
1219
+ }
checkpoint-10000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efdafc920f92f7fef444725b8239e547a249e5e3d18c711b75245d4473de9d3c
3
+ size 4027
checkpoint-2500/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./core2",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "max_position_embeddings": 4096,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 1,
16
+ "num_key_value_heads": 32,
17
+ "pretraining_tp": 1,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 10000.0,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.34.0.dev0",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
checkpoint-2500/generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 4096,
6
+ "pad_token_id": 0,
7
+ "temperature": 0.6,
8
+ "top_p": 0.9,
9
+ "transformers_version": "4.34.0.dev0"
10
+ }
checkpoint-2500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:207452d1168390f8bf7e0da03e7bb9a9aa38eb6d5387b5a85d363d871c6baf5e
3
+ size 1858136133
checkpoint-2500/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c3af8fa74fa47804a24797b9d185706e77f2ad9bd37916f1a746c442efb8adfe
3
+ size 929067029
checkpoint-2500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b2278a87cdf86c3f9219223c847f6b27f6b7f15b8226b617f38936e8ff2cbcde
3
+ size 14575
checkpoint-2500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:4651efbde1cbaf4a0b682250b47a031d03dd4e96bb70202b5d9896030fea354c
3
+ size 627
checkpoint-2500/special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "unk_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
checkpoint-2500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-2500/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-2500/tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "__type": "AddedToken",
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "clean_up_tokenization_spaces": false,
11
+ "eos_token": {
12
+ "__type": "AddedToken",
13
+ "content": "</s>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "legacy": false,
20
+ "model_max_length": 1000000000000000019884624838656,
21
+ "pad_token": null,
22
+ "padding_side": "right",
23
+ "sp_model_kwargs": {},
24
+ "tokenizer_class": "LlamaTokenizer",
25
+ "unk_token": {
26
+ "__type": "AddedToken",
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "use_default_system_prompt": true
34
+ }
checkpoint-2500/trainer_state.json ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.11366413385088402,
5
+ "eval_steps": 500,
6
+ "global_step": 2500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 9.977266527234701e-05,
14
+ "loss": 2.6296,
15
+ "step": 50
16
+ },
17
+ {
18
+ "epoch": 0.0,
19
+ "learning_rate": 9.954533054469402e-05,
20
+ "loss": 2.6156,
21
+ "step": 100
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 9.931799581704102e-05,
26
+ "loss": 2.6035,
27
+ "step": 150
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 9.909066108938801e-05,
32
+ "loss": 2.5399,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 0.01,
37
+ "learning_rate": 9.886332636173502e-05,
38
+ "loss": 2.5857,
39
+ "step": 250
40
+ },
41
+ {
42
+ "epoch": 0.01,
43
+ "learning_rate": 9.863599163408202e-05,
44
+ "loss": 2.6078,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 9.840865690642903e-05,
50
+ "loss": 2.5931,
51
+ "step": 350
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "learning_rate": 9.818132217877604e-05,
56
+ "loss": 2.5919,
57
+ "step": 400
58
+ },
59
+ {
60
+ "epoch": 0.02,
61
+ "learning_rate": 9.795398745112304e-05,
62
+ "loss": 2.59,
63
+ "step": 450
64
+ },
65
+ {
66
+ "epoch": 0.02,
67
+ "learning_rate": 9.772665272347005e-05,
68
+ "loss": 2.605,
69
+ "step": 500
70
+ },
71
+ {
72
+ "epoch": 0.03,
73
+ "learning_rate": 9.749931799581704e-05,
74
+ "loss": 2.6026,
75
+ "step": 550
76
+ },
77
+ {
78
+ "epoch": 0.03,
79
+ "learning_rate": 9.727198326816404e-05,
80
+ "loss": 2.5839,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 0.03,
85
+ "learning_rate": 9.704464854051105e-05,
86
+ "loss": 2.5862,
87
+ "step": 650
88
+ },
89
+ {
90
+ "epoch": 0.03,
91
+ "learning_rate": 9.681731381285806e-05,
92
+ "loss": 2.609,
93
+ "step": 700
94
+ },
95
+ {
96
+ "epoch": 0.03,
97
+ "learning_rate": 9.658997908520506e-05,
98
+ "loss": 2.5759,
99
+ "step": 750
100
+ },
101
+ {
102
+ "epoch": 0.04,
103
+ "learning_rate": 9.636264435755207e-05,
104
+ "loss": 2.6046,
105
+ "step": 800
106
+ },
107
+ {
108
+ "epoch": 0.04,
109
+ "learning_rate": 9.613530962989907e-05,
110
+ "loss": 2.5811,
111
+ "step": 850
112
+ },
113
+ {
114
+ "epoch": 0.04,
115
+ "learning_rate": 9.590797490224606e-05,
116
+ "loss": 2.5797,
117
+ "step": 900
118
+ },
119
+ {
120
+ "epoch": 0.04,
121
+ "learning_rate": 9.568064017459307e-05,
122
+ "loss": 2.5867,
123
+ "step": 950
124
+ },
125
+ {
126
+ "epoch": 0.05,
127
+ "learning_rate": 9.545330544694008e-05,
128
+ "loss": 2.5927,
129
+ "step": 1000
130
+ },
131
+ {
132
+ "epoch": 0.05,
133
+ "learning_rate": 9.522597071928708e-05,
134
+ "loss": 2.568,
135
+ "step": 1050
136
+ },
137
+ {
138
+ "epoch": 0.05,
139
+ "learning_rate": 9.499863599163409e-05,
140
+ "loss": 2.6024,
141
+ "step": 1100
142
+ },
143
+ {
144
+ "epoch": 0.05,
145
+ "learning_rate": 9.477130126398109e-05,
146
+ "loss": 2.5936,
147
+ "step": 1150
148
+ },
149
+ {
150
+ "epoch": 0.05,
151
+ "learning_rate": 9.45439665363281e-05,
152
+ "loss": 2.605,
153
+ "step": 1200
154
+ },
155
+ {
156
+ "epoch": 0.06,
157
+ "learning_rate": 9.431663180867509e-05,
158
+ "loss": 2.5775,
159
+ "step": 1250
160
+ },
161
+ {
162
+ "epoch": 0.06,
163
+ "learning_rate": 9.40892970810221e-05,
164
+ "loss": 2.5752,
165
+ "step": 1300
166
+ },
167
+ {
168
+ "epoch": 0.06,
169
+ "learning_rate": 9.38619623533691e-05,
170
+ "loss": 2.5679,
171
+ "step": 1350
172
+ },
173
+ {
174
+ "epoch": 0.06,
175
+ "learning_rate": 9.36346276257161e-05,
176
+ "loss": 2.5856,
177
+ "step": 1400
178
+ },
179
+ {
180
+ "epoch": 0.07,
181
+ "learning_rate": 9.340729289806311e-05,
182
+ "loss": 2.5787,
183
+ "step": 1450
184
+ },
185
+ {
186
+ "epoch": 0.07,
187
+ "learning_rate": 9.317995817041012e-05,
188
+ "loss": 2.5875,
189
+ "step": 1500
190
+ },
191
+ {
192
+ "epoch": 0.07,
193
+ "learning_rate": 9.295262344275712e-05,
194
+ "loss": 2.5631,
195
+ "step": 1550
196
+ },
197
+ {
198
+ "epoch": 0.07,
199
+ "learning_rate": 9.272528871510412e-05,
200
+ "loss": 2.583,
201
+ "step": 1600
202
+ },
203
+ {
204
+ "epoch": 0.08,
205
+ "learning_rate": 9.249795398745112e-05,
206
+ "loss": 2.5609,
207
+ "step": 1650
208
+ },
209
+ {
210
+ "epoch": 0.08,
211
+ "learning_rate": 9.227061925979813e-05,
212
+ "loss": 2.587,
213
+ "step": 1700
214
+ },
215
+ {
216
+ "epoch": 0.08,
217
+ "learning_rate": 9.204328453214513e-05,
218
+ "loss": 2.5555,
219
+ "step": 1750
220
+ },
221
+ {
222
+ "epoch": 0.08,
223
+ "learning_rate": 9.181594980449214e-05,
224
+ "loss": 2.5488,
225
+ "step": 1800
226
+ },
227
+ {
228
+ "epoch": 0.08,
229
+ "learning_rate": 9.158861507683914e-05,
230
+ "loss": 2.5554,
231
+ "step": 1850
232
+ },
233
+ {
234
+ "epoch": 0.09,
235
+ "learning_rate": 9.136128034918615e-05,
236
+ "loss": 2.5408,
237
+ "step": 1900
238
+ },
239
+ {
240
+ "epoch": 0.09,
241
+ "learning_rate": 9.113394562153314e-05,
242
+ "loss": 2.582,
243
+ "step": 1950
244
+ },
245
+ {
246
+ "epoch": 0.09,
247
+ "learning_rate": 9.090661089388015e-05,
248
+ "loss": 2.5533,
249
+ "step": 2000
250
+ },
251
+ {
252
+ "epoch": 0.09,
253
+ "learning_rate": 9.067927616622715e-05,
254
+ "loss": 2.5432,
255
+ "step": 2050
256
+ },
257
+ {
258
+ "epoch": 0.1,
259
+ "learning_rate": 9.045194143857416e-05,
260
+ "loss": 2.5867,
261
+ "step": 2100
262
+ },
263
+ {
264
+ "epoch": 0.1,
265
+ "learning_rate": 9.022460671092116e-05,
266
+ "loss": 2.5343,
267
+ "step": 2150
268
+ },
269
+ {
270
+ "epoch": 0.1,
271
+ "learning_rate": 8.999727198326817e-05,
272
+ "loss": 2.585,
273
+ "step": 2200
274
+ },
275
+ {
276
+ "epoch": 0.1,
277
+ "learning_rate": 8.976993725561517e-05,
278
+ "loss": 2.5679,
279
+ "step": 2250
280
+ },
281
+ {
282
+ "epoch": 0.1,
283
+ "learning_rate": 8.954260252796217e-05,
284
+ "loss": 2.5515,
285
+ "step": 2300
286
+ },
287
+ {
288
+ "epoch": 0.11,
289
+ "learning_rate": 8.931526780030917e-05,
290
+ "loss": 2.5713,
291
+ "step": 2350
292
+ },
293
+ {
294
+ "epoch": 0.11,
295
+ "learning_rate": 8.908793307265618e-05,
296
+ "loss": 2.5587,
297
+ "step": 2400
298
+ },
299
+ {
300
+ "epoch": 0.11,
301
+ "learning_rate": 8.886059834500318e-05,
302
+ "loss": 2.5774,
303
+ "step": 2450
304
+ },
305
+ {
306
+ "epoch": 0.11,
307
+ "learning_rate": 8.863326361735019e-05,
308
+ "loss": 2.551,
309
+ "step": 2500
310
+ }
311
+ ],
312
+ "logging_steps": 50,
313
+ "max_steps": 21994,
314
+ "num_train_epochs": 1,
315
+ "save_steps": 2500,
316
+ "total_flos": 4.097549795328e+16,
317
+ "trial_name": null,
318
+ "trial_params": null
319
+ }
checkpoint-2500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:2458e0243aaab0a29fd49a56d9466fcdd0e8ef0f37d199202b23e025f597ffca
3
+ size 4027
checkpoint-5000/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./core2",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "max_position_embeddings": 4096,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 1,
16
+ "num_key_value_heads": 32,
17
+ "pretraining_tp": 1,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 10000.0,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.34.0.dev0",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
checkpoint-5000/generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 4096,
6
+ "pad_token_id": 0,
7
+ "temperature": 0.6,
8
+ "top_p": 0.9,
9
+ "transformers_version": "4.34.0.dev0"
10
+ }
checkpoint-5000/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:704531a229cf5dc6fe0f5961f4f2867a29e55bf4fddef7b8c204b1054dbd40ab
3
+ size 1858136133
checkpoint-5000/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:8cfe8c3937d90ccd5a9a795bca91d29acb89c21869e7bfe0b28a6999060659f0
3
+ size 929067029
checkpoint-5000/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b2278a87cdf86c3f9219223c847f6b27f6b7f15b8226b617f38936e8ff2cbcde
3
+ size 14575
checkpoint-5000/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d5192a1ee8b34f588f041e4906a7eb6bf85582d9fd03cfb971cdcda7ba896f86
3
+ size 627
checkpoint-5000/special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "unk_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
checkpoint-5000/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-5000/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-5000/tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "__type": "AddedToken",
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "clean_up_tokenization_spaces": false,
11
+ "eos_token": {
12
+ "__type": "AddedToken",
13
+ "content": "</s>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "legacy": false,
20
+ "model_max_length": 1000000000000000019884624838656,
21
+ "pad_token": null,
22
+ "padding_side": "right",
23
+ "sp_model_kwargs": {},
24
+ "tokenizer_class": "LlamaTokenizer",
25
+ "unk_token": {
26
+ "__type": "AddedToken",
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "use_default_system_prompt": true
34
+ }
checkpoint-5000/trainer_state.json ADDED
@@ -0,0 +1,619 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 0.22732826770176803,
5
+ "eval_steps": 500,
6
+ "global_step": 5000,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.0,
13
+ "learning_rate": 9.977266527234701e-05,
14
+ "loss": 2.6296,
15
+ "step": 50
16
+ },
17
+ {
18
+ "epoch": 0.0,
19
+ "learning_rate": 9.954533054469402e-05,
20
+ "loss": 2.6156,
21
+ "step": 100
22
+ },
23
+ {
24
+ "epoch": 0.01,
25
+ "learning_rate": 9.931799581704102e-05,
26
+ "loss": 2.6035,
27
+ "step": 150
28
+ },
29
+ {
30
+ "epoch": 0.01,
31
+ "learning_rate": 9.909066108938801e-05,
32
+ "loss": 2.5399,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 0.01,
37
+ "learning_rate": 9.886332636173502e-05,
38
+ "loss": 2.5857,
39
+ "step": 250
40
+ },
41
+ {
42
+ "epoch": 0.01,
43
+ "learning_rate": 9.863599163408202e-05,
44
+ "loss": 2.6078,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 0.02,
49
+ "learning_rate": 9.840865690642903e-05,
50
+ "loss": 2.5931,
51
+ "step": 350
52
+ },
53
+ {
54
+ "epoch": 0.02,
55
+ "learning_rate": 9.818132217877604e-05,
56
+ "loss": 2.5919,
57
+ "step": 400
58
+ },
59
+ {
60
+ "epoch": 0.02,
61
+ "learning_rate": 9.795398745112304e-05,
62
+ "loss": 2.59,
63
+ "step": 450
64
+ },
65
+ {
66
+ "epoch": 0.02,
67
+ "learning_rate": 9.772665272347005e-05,
68
+ "loss": 2.605,
69
+ "step": 500
70
+ },
71
+ {
72
+ "epoch": 0.03,
73
+ "learning_rate": 9.749931799581704e-05,
74
+ "loss": 2.6026,
75
+ "step": 550
76
+ },
77
+ {
78
+ "epoch": 0.03,
79
+ "learning_rate": 9.727198326816404e-05,
80
+ "loss": 2.5839,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 0.03,
85
+ "learning_rate": 9.704464854051105e-05,
86
+ "loss": 2.5862,
87
+ "step": 650
88
+ },
89
+ {
90
+ "epoch": 0.03,
91
+ "learning_rate": 9.681731381285806e-05,
92
+ "loss": 2.609,
93
+ "step": 700
94
+ },
95
+ {
96
+ "epoch": 0.03,
97
+ "learning_rate": 9.658997908520506e-05,
98
+ "loss": 2.5759,
99
+ "step": 750
100
+ },
101
+ {
102
+ "epoch": 0.04,
103
+ "learning_rate": 9.636264435755207e-05,
104
+ "loss": 2.6046,
105
+ "step": 800
106
+ },
107
+ {
108
+ "epoch": 0.04,
109
+ "learning_rate": 9.613530962989907e-05,
110
+ "loss": 2.5811,
111
+ "step": 850
112
+ },
113
+ {
114
+ "epoch": 0.04,
115
+ "learning_rate": 9.590797490224606e-05,
116
+ "loss": 2.5797,
117
+ "step": 900
118
+ },
119
+ {
120
+ "epoch": 0.04,
121
+ "learning_rate": 9.568064017459307e-05,
122
+ "loss": 2.5867,
123
+ "step": 950
124
+ },
125
+ {
126
+ "epoch": 0.05,
127
+ "learning_rate": 9.545330544694008e-05,
128
+ "loss": 2.5927,
129
+ "step": 1000
130
+ },
131
+ {
132
+ "epoch": 0.05,
133
+ "learning_rate": 9.522597071928708e-05,
134
+ "loss": 2.568,
135
+ "step": 1050
136
+ },
137
+ {
138
+ "epoch": 0.05,
139
+ "learning_rate": 9.499863599163409e-05,
140
+ "loss": 2.6024,
141
+ "step": 1100
142
+ },
143
+ {
144
+ "epoch": 0.05,
145
+ "learning_rate": 9.477130126398109e-05,
146
+ "loss": 2.5936,
147
+ "step": 1150
148
+ },
149
+ {
150
+ "epoch": 0.05,
151
+ "learning_rate": 9.45439665363281e-05,
152
+ "loss": 2.605,
153
+ "step": 1200
154
+ },
155
+ {
156
+ "epoch": 0.06,
157
+ "learning_rate": 9.431663180867509e-05,
158
+ "loss": 2.5775,
159
+ "step": 1250
160
+ },
161
+ {
162
+ "epoch": 0.06,
163
+ "learning_rate": 9.40892970810221e-05,
164
+ "loss": 2.5752,
165
+ "step": 1300
166
+ },
167
+ {
168
+ "epoch": 0.06,
169
+ "learning_rate": 9.38619623533691e-05,
170
+ "loss": 2.5679,
171
+ "step": 1350
172
+ },
173
+ {
174
+ "epoch": 0.06,
175
+ "learning_rate": 9.36346276257161e-05,
176
+ "loss": 2.5856,
177
+ "step": 1400
178
+ },
179
+ {
180
+ "epoch": 0.07,
181
+ "learning_rate": 9.340729289806311e-05,
182
+ "loss": 2.5787,
183
+ "step": 1450
184
+ },
185
+ {
186
+ "epoch": 0.07,
187
+ "learning_rate": 9.317995817041012e-05,
188
+ "loss": 2.5875,
189
+ "step": 1500
190
+ },
191
+ {
192
+ "epoch": 0.07,
193
+ "learning_rate": 9.295262344275712e-05,
194
+ "loss": 2.5631,
195
+ "step": 1550
196
+ },
197
+ {
198
+ "epoch": 0.07,
199
+ "learning_rate": 9.272528871510412e-05,
200
+ "loss": 2.583,
201
+ "step": 1600
202
+ },
203
+ {
204
+ "epoch": 0.08,
205
+ "learning_rate": 9.249795398745112e-05,
206
+ "loss": 2.5609,
207
+ "step": 1650
208
+ },
209
+ {
210
+ "epoch": 0.08,
211
+ "learning_rate": 9.227061925979813e-05,
212
+ "loss": 2.587,
213
+ "step": 1700
214
+ },
215
+ {
216
+ "epoch": 0.08,
217
+ "learning_rate": 9.204328453214513e-05,
218
+ "loss": 2.5555,
219
+ "step": 1750
220
+ },
221
+ {
222
+ "epoch": 0.08,
223
+ "learning_rate": 9.181594980449214e-05,
224
+ "loss": 2.5488,
225
+ "step": 1800
226
+ },
227
+ {
228
+ "epoch": 0.08,
229
+ "learning_rate": 9.158861507683914e-05,
230
+ "loss": 2.5554,
231
+ "step": 1850
232
+ },
233
+ {
234
+ "epoch": 0.09,
235
+ "learning_rate": 9.136128034918615e-05,
236
+ "loss": 2.5408,
237
+ "step": 1900
238
+ },
239
+ {
240
+ "epoch": 0.09,
241
+ "learning_rate": 9.113394562153314e-05,
242
+ "loss": 2.582,
243
+ "step": 1950
244
+ },
245
+ {
246
+ "epoch": 0.09,
247
+ "learning_rate": 9.090661089388015e-05,
248
+ "loss": 2.5533,
249
+ "step": 2000
250
+ },
251
+ {
252
+ "epoch": 0.09,
253
+ "learning_rate": 9.067927616622715e-05,
254
+ "loss": 2.5432,
255
+ "step": 2050
256
+ },
257
+ {
258
+ "epoch": 0.1,
259
+ "learning_rate": 9.045194143857416e-05,
260
+ "loss": 2.5867,
261
+ "step": 2100
262
+ },
263
+ {
264
+ "epoch": 0.1,
265
+ "learning_rate": 9.022460671092116e-05,
266
+ "loss": 2.5343,
267
+ "step": 2150
268
+ },
269
+ {
270
+ "epoch": 0.1,
271
+ "learning_rate": 8.999727198326817e-05,
272
+ "loss": 2.585,
273
+ "step": 2200
274
+ },
275
+ {
276
+ "epoch": 0.1,
277
+ "learning_rate": 8.976993725561517e-05,
278
+ "loss": 2.5679,
279
+ "step": 2250
280
+ },
281
+ {
282
+ "epoch": 0.1,
283
+ "learning_rate": 8.954260252796217e-05,
284
+ "loss": 2.5515,
285
+ "step": 2300
286
+ },
287
+ {
288
+ "epoch": 0.11,
289
+ "learning_rate": 8.931526780030917e-05,
290
+ "loss": 2.5713,
291
+ "step": 2350
292
+ },
293
+ {
294
+ "epoch": 0.11,
295
+ "learning_rate": 8.908793307265618e-05,
296
+ "loss": 2.5587,
297
+ "step": 2400
298
+ },
299
+ {
300
+ "epoch": 0.11,
301
+ "learning_rate": 8.886059834500318e-05,
302
+ "loss": 2.5774,
303
+ "step": 2450
304
+ },
305
+ {
306
+ "epoch": 0.11,
307
+ "learning_rate": 8.863326361735019e-05,
308
+ "loss": 2.551,
309
+ "step": 2500
310
+ },
311
+ {
312
+ "epoch": 0.12,
313
+ "learning_rate": 8.84059288896972e-05,
314
+ "loss": 2.5685,
315
+ "step": 2550
316
+ },
317
+ {
318
+ "epoch": 0.12,
319
+ "learning_rate": 8.81785941620442e-05,
320
+ "loss": 2.5707,
321
+ "step": 2600
322
+ },
323
+ {
324
+ "epoch": 0.12,
325
+ "learning_rate": 8.795125943439119e-05,
326
+ "loss": 2.568,
327
+ "step": 2650
328
+ },
329
+ {
330
+ "epoch": 0.12,
331
+ "learning_rate": 8.77239247067382e-05,
332
+ "loss": 2.5536,
333
+ "step": 2700
334
+ },
335
+ {
336
+ "epoch": 0.13,
337
+ "learning_rate": 8.74965899790852e-05,
338
+ "loss": 2.5406,
339
+ "step": 2750
340
+ },
341
+ {
342
+ "epoch": 0.13,
343
+ "learning_rate": 8.726925525143221e-05,
344
+ "loss": 2.5572,
345
+ "step": 2800
346
+ },
347
+ {
348
+ "epoch": 0.13,
349
+ "learning_rate": 8.704192052377921e-05,
350
+ "loss": 2.5749,
351
+ "step": 2850
352
+ },
353
+ {
354
+ "epoch": 0.13,
355
+ "learning_rate": 8.681458579612622e-05,
356
+ "loss": 2.5607,
357
+ "step": 2900
358
+ },
359
+ {
360
+ "epoch": 0.13,
361
+ "learning_rate": 8.658725106847322e-05,
362
+ "loss": 2.5612,
363
+ "step": 2950
364
+ },
365
+ {
366
+ "epoch": 0.14,
367
+ "learning_rate": 8.635991634082023e-05,
368
+ "loss": 2.5626,
369
+ "step": 3000
370
+ },
371
+ {
372
+ "epoch": 0.14,
373
+ "learning_rate": 8.613258161316724e-05,
374
+ "loss": 2.5677,
375
+ "step": 3050
376
+ },
377
+ {
378
+ "epoch": 0.14,
379
+ "learning_rate": 8.590524688551423e-05,
380
+ "loss": 2.5072,
381
+ "step": 3100
382
+ },
383
+ {
384
+ "epoch": 0.14,
385
+ "learning_rate": 8.567791215786123e-05,
386
+ "loss": 2.562,
387
+ "step": 3150
388
+ },
389
+ {
390
+ "epoch": 0.15,
391
+ "learning_rate": 8.545057743020824e-05,
392
+ "loss": 2.5786,
393
+ "step": 3200
394
+ },
395
+ {
396
+ "epoch": 0.15,
397
+ "learning_rate": 8.522324270255524e-05,
398
+ "loss": 2.5388,
399
+ "step": 3250
400
+ },
401
+ {
402
+ "epoch": 0.15,
403
+ "learning_rate": 8.499590797490225e-05,
404
+ "loss": 2.538,
405
+ "step": 3300
406
+ },
407
+ {
408
+ "epoch": 0.15,
409
+ "learning_rate": 8.476857324724926e-05,
410
+ "loss": 2.5448,
411
+ "step": 3350
412
+ },
413
+ {
414
+ "epoch": 0.15,
415
+ "learning_rate": 8.454123851959626e-05,
416
+ "loss": 2.5306,
417
+ "step": 3400
418
+ },
419
+ {
420
+ "epoch": 0.16,
421
+ "learning_rate": 8.431390379194327e-05,
422
+ "loss": 2.5647,
423
+ "step": 3450
424
+ },
425
+ {
426
+ "epoch": 0.16,
427
+ "learning_rate": 8.408656906429027e-05,
428
+ "loss": 2.5386,
429
+ "step": 3500
430
+ },
431
+ {
432
+ "epoch": 0.16,
433
+ "learning_rate": 8.385923433663728e-05,
434
+ "loss": 2.5376,
435
+ "step": 3550
436
+ },
437
+ {
438
+ "epoch": 0.16,
439
+ "learning_rate": 8.363189960898427e-05,
440
+ "loss": 2.535,
441
+ "step": 3600
442
+ },
443
+ {
444
+ "epoch": 0.17,
445
+ "learning_rate": 8.340456488133128e-05,
446
+ "loss": 2.5476,
447
+ "step": 3650
448
+ },
449
+ {
450
+ "epoch": 0.17,
451
+ "learning_rate": 8.317723015367828e-05,
452
+ "loss": 2.5462,
453
+ "step": 3700
454
+ },
455
+ {
456
+ "epoch": 0.17,
457
+ "learning_rate": 8.294989542602529e-05,
458
+ "loss": 2.5795,
459
+ "step": 3750
460
+ },
461
+ {
462
+ "epoch": 0.17,
463
+ "learning_rate": 8.272256069837229e-05,
464
+ "loss": 2.5425,
465
+ "step": 3800
466
+ },
467
+ {
468
+ "epoch": 0.18,
469
+ "learning_rate": 8.24952259707193e-05,
470
+ "loss": 2.5663,
471
+ "step": 3850
472
+ },
473
+ {
474
+ "epoch": 0.18,
475
+ "learning_rate": 8.22678912430663e-05,
476
+ "loss": 2.5376,
477
+ "step": 3900
478
+ },
479
+ {
480
+ "epoch": 0.18,
481
+ "learning_rate": 8.204055651541331e-05,
482
+ "loss": 2.5695,
483
+ "step": 3950
484
+ },
485
+ {
486
+ "epoch": 0.18,
487
+ "learning_rate": 8.18132217877603e-05,
488
+ "loss": 2.5112,
489
+ "step": 4000
490
+ },
491
+ {
492
+ "epoch": 0.18,
493
+ "learning_rate": 8.15858870601073e-05,
494
+ "loss": 2.5255,
495
+ "step": 4050
496
+ },
497
+ {
498
+ "epoch": 0.19,
499
+ "learning_rate": 8.135855233245431e-05,
500
+ "loss": 2.5448,
501
+ "step": 4100
502
+ },
503
+ {
504
+ "epoch": 0.19,
505
+ "learning_rate": 8.113121760480132e-05,
506
+ "loss": 2.5483,
507
+ "step": 4150
508
+ },
509
+ {
510
+ "epoch": 0.19,
511
+ "learning_rate": 8.090388287714832e-05,
512
+ "loss": 2.5319,
513
+ "step": 4200
514
+ },
515
+ {
516
+ "epoch": 0.19,
517
+ "learning_rate": 8.067654814949533e-05,
518
+ "loss": 2.5655,
519
+ "step": 4250
520
+ },
521
+ {
522
+ "epoch": 0.2,
523
+ "learning_rate": 8.044921342184233e-05,
524
+ "loss": 2.5399,
525
+ "step": 4300
526
+ },
527
+ {
528
+ "epoch": 0.2,
529
+ "learning_rate": 8.022187869418933e-05,
530
+ "loss": 2.5485,
531
+ "step": 4350
532
+ },
533
+ {
534
+ "epoch": 0.2,
535
+ "learning_rate": 7.999454396653633e-05,
536
+ "loss": 2.5196,
537
+ "step": 4400
538
+ },
539
+ {
540
+ "epoch": 0.2,
541
+ "learning_rate": 7.976720923888334e-05,
542
+ "loss": 2.5554,
543
+ "step": 4450
544
+ },
545
+ {
546
+ "epoch": 0.2,
547
+ "learning_rate": 7.953987451123034e-05,
548
+ "loss": 2.583,
549
+ "step": 4500
550
+ },
551
+ {
552
+ "epoch": 0.21,
553
+ "learning_rate": 7.931253978357735e-05,
554
+ "loss": 2.5643,
555
+ "step": 4550
556
+ },
557
+ {
558
+ "epoch": 0.21,
559
+ "learning_rate": 7.908520505592435e-05,
560
+ "loss": 2.5345,
561
+ "step": 4600
562
+ },
563
+ {
564
+ "epoch": 0.21,
565
+ "learning_rate": 7.885787032827136e-05,
566
+ "loss": 2.5393,
567
+ "step": 4650
568
+ },
569
+ {
570
+ "epoch": 0.21,
571
+ "learning_rate": 7.863053560061835e-05,
572
+ "loss": 2.5349,
573
+ "step": 4700
574
+ },
575
+ {
576
+ "epoch": 0.22,
577
+ "learning_rate": 7.840320087296536e-05,
578
+ "loss": 2.54,
579
+ "step": 4750
580
+ },
581
+ {
582
+ "epoch": 0.22,
583
+ "learning_rate": 7.817586614531236e-05,
584
+ "loss": 2.5526,
585
+ "step": 4800
586
+ },
587
+ {
588
+ "epoch": 0.22,
589
+ "learning_rate": 7.794853141765937e-05,
590
+ "loss": 2.5419,
591
+ "step": 4850
592
+ },
593
+ {
594
+ "epoch": 0.22,
595
+ "learning_rate": 7.772119669000637e-05,
596
+ "loss": 2.5122,
597
+ "step": 4900
598
+ },
599
+ {
600
+ "epoch": 0.23,
601
+ "learning_rate": 7.749386196235338e-05,
602
+ "loss": 2.5247,
603
+ "step": 4950
604
+ },
605
+ {
606
+ "epoch": 0.23,
607
+ "learning_rate": 7.726652723470039e-05,
608
+ "loss": 2.5516,
609
+ "step": 5000
610
+ }
611
+ ],
612
+ "logging_steps": 50,
613
+ "max_steps": 21994,
614
+ "num_train_epochs": 1,
615
+ "save_steps": 2500,
616
+ "total_flos": 8.195099590656e+16,
617
+ "trial_name": null,
618
+ "trial_params": null
619
+ }
checkpoint-5000/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efdafc920f92f7fef444725b8239e547a249e5e3d18c711b75245d4473de9d3c
3
+ size 4027
checkpoint-7500/config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "./model",
3
+ "architectures": [
4
+ "LlamaForCausalLM"
5
+ ],
6
+ "bos_token_id": 1,
7
+ "eos_token_id": 2,
8
+ "hidden_act": "silu",
9
+ "hidden_size": 4096,
10
+ "initializer_range": 0.02,
11
+ "intermediate_size": 11008,
12
+ "max_position_embeddings": 4096,
13
+ "model_type": "llama",
14
+ "num_attention_heads": 32,
15
+ "num_hidden_layers": 1,
16
+ "num_key_value_heads": 32,
17
+ "pretraining_tp": 1,
18
+ "rms_norm_eps": 1e-06,
19
+ "rope_scaling": null,
20
+ "rope_theta": 10000.0,
21
+ "tie_word_embeddings": false,
22
+ "torch_dtype": "bfloat16",
23
+ "transformers_version": "4.34.0.dev0",
24
+ "use_cache": true,
25
+ "vocab_size": 32000
26
+ }
checkpoint-7500/generation_config.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token_id": 1,
3
+ "do_sample": true,
4
+ "eos_token_id": 2,
5
+ "max_length": 4096,
6
+ "pad_token_id": 0,
7
+ "temperature": 0.6,
8
+ "top_p": 0.9,
9
+ "transformers_version": "4.34.0.dev0"
10
+ }
checkpoint-7500/optimizer.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:b821b817163fa3de34652be1509fd5796aafd26971cfac99bbbfa1aaf179617d
3
+ size 1858136133
checkpoint-7500/pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f235329dcf7f3834f0cf92eea595b0c831138ab3a067d79812dc337820172cb
3
+ size 929067029
checkpoint-7500/rng_state.pth ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:972139d83957a9cf2600cb6eeca17287d7a5377c33a53500ae7e13fe830ad36b
3
+ size 14575
checkpoint-7500/scheduler.pt ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:435941218fd7059259cfb526648ebee61a8d078cdc01596cdb74aff24219bcd8
3
+ size 627
checkpoint-7500/special_tokens_map.json ADDED
@@ -0,0 +1,23 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "eos_token": {
10
+ "content": "</s>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "unk_token": {
17
+ "content": "<unk>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ }
23
+ }
checkpoint-7500/tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
checkpoint-7500/tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9e556afd44213b6bd1be2b850ebbbd98f5481437a8021afaf58ee7fb1818d347
3
+ size 499723
checkpoint-7500/tokenizer_config.json ADDED
@@ -0,0 +1,34 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "__type": "AddedToken",
4
+ "content": "<s>",
5
+ "lstrip": false,
6
+ "normalized": false,
7
+ "rstrip": false,
8
+ "single_word": false
9
+ },
10
+ "clean_up_tokenization_spaces": false,
11
+ "eos_token": {
12
+ "__type": "AddedToken",
13
+ "content": "</s>",
14
+ "lstrip": false,
15
+ "normalized": false,
16
+ "rstrip": false,
17
+ "single_word": false
18
+ },
19
+ "legacy": false,
20
+ "model_max_length": 1000000000000000019884624838656,
21
+ "pad_token": null,
22
+ "padding_side": "right",
23
+ "sp_model_kwargs": {},
24
+ "tokenizer_class": "LlamaTokenizer",
25
+ "unk_token": {
26
+ "__type": "AddedToken",
27
+ "content": "<unk>",
28
+ "lstrip": false,
29
+ "normalized": false,
30
+ "rstrip": false,
31
+ "single_word": false
32
+ },
33
+ "use_default_system_prompt": true
34
+ }
checkpoint-7500/trainer_state.json ADDED
@@ -0,0 +1,919 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": null,
3
+ "best_model_checkpoint": null,
4
+ "epoch": 1.3639696062106084,
5
+ "eval_steps": 500,
6
+ "global_step": 7500,
7
+ "is_hyper_param_search": false,
8
+ "is_local_process_zero": true,
9
+ "is_world_process_zero": true,
10
+ "log_history": [
11
+ {
12
+ "epoch": 0.01,
13
+ "learning_rate": 0.0004977264459803565,
14
+ "loss": 5.874,
15
+ "step": 50
16
+ },
17
+ {
18
+ "epoch": 0.02,
19
+ "learning_rate": 0.0004954528919607129,
20
+ "loss": 4.0765,
21
+ "step": 100
22
+ },
23
+ {
24
+ "epoch": 0.03,
25
+ "learning_rate": 0.0004931793379410695,
26
+ "loss": 3.7752,
27
+ "step": 150
28
+ },
29
+ {
30
+ "epoch": 0.04,
31
+ "learning_rate": 0.000490905783921426,
32
+ "loss": 3.6357,
33
+ "step": 200
34
+ },
35
+ {
36
+ "epoch": 0.05,
37
+ "learning_rate": 0.0004886322299017824,
38
+ "loss": 3.5374,
39
+ "step": 250
40
+ },
41
+ {
42
+ "epoch": 0.05,
43
+ "learning_rate": 0.00048635867588213893,
44
+ "loss": 3.4875,
45
+ "step": 300
46
+ },
47
+ {
48
+ "epoch": 0.06,
49
+ "learning_rate": 0.0004840851218624955,
50
+ "loss": 3.411,
51
+ "step": 350
52
+ },
53
+ {
54
+ "epoch": 0.07,
55
+ "learning_rate": 0.00048181156784285196,
56
+ "loss": 3.3791,
57
+ "step": 400
58
+ },
59
+ {
60
+ "epoch": 0.08,
61
+ "learning_rate": 0.0004795380138232084,
62
+ "loss": 3.3377,
63
+ "step": 450
64
+ },
65
+ {
66
+ "epoch": 0.09,
67
+ "learning_rate": 0.00047726445980356494,
68
+ "loss": 3.292,
69
+ "step": 500
70
+ },
71
+ {
72
+ "epoch": 0.1,
73
+ "learning_rate": 0.00047499090578392145,
74
+ "loss": 3.2765,
75
+ "step": 550
76
+ },
77
+ {
78
+ "epoch": 0.11,
79
+ "learning_rate": 0.0004727173517642779,
80
+ "loss": 3.2584,
81
+ "step": 600
82
+ },
83
+ {
84
+ "epoch": 0.12,
85
+ "learning_rate": 0.0004704437977446344,
86
+ "loss": 3.2319,
87
+ "step": 650
88
+ },
89
+ {
90
+ "epoch": 0.13,
91
+ "learning_rate": 0.0004681702437249909,
92
+ "loss": 3.2021,
93
+ "step": 700
94
+ },
95
+ {
96
+ "epoch": 0.14,
97
+ "learning_rate": 0.00046589668970534745,
98
+ "loss": 3.1816,
99
+ "step": 750
100
+ },
101
+ {
102
+ "epoch": 0.15,
103
+ "learning_rate": 0.0004636231356857039,
104
+ "loss": 3.165,
105
+ "step": 800
106
+ },
107
+ {
108
+ "epoch": 0.15,
109
+ "learning_rate": 0.0004613495816660604,
110
+ "loss": 3.1436,
111
+ "step": 850
112
+ },
113
+ {
114
+ "epoch": 0.16,
115
+ "learning_rate": 0.0004590760276464169,
116
+ "loss": 3.1491,
117
+ "step": 900
118
+ },
119
+ {
120
+ "epoch": 0.17,
121
+ "learning_rate": 0.0004568024736267734,
122
+ "loss": 3.1343,
123
+ "step": 950
124
+ },
125
+ {
126
+ "epoch": 0.18,
127
+ "learning_rate": 0.00045452891960712986,
128
+ "loss": 3.1208,
129
+ "step": 1000
130
+ },
131
+ {
132
+ "epoch": 0.19,
133
+ "learning_rate": 0.0004522553655874864,
134
+ "loss": 3.0954,
135
+ "step": 1050
136
+ },
137
+ {
138
+ "epoch": 0.2,
139
+ "learning_rate": 0.00044998181156784284,
140
+ "loss": 3.0963,
141
+ "step": 1100
142
+ },
143
+ {
144
+ "epoch": 0.21,
145
+ "learning_rate": 0.00044770825754819935,
146
+ "loss": 3.098,
147
+ "step": 1150
148
+ },
149
+ {
150
+ "epoch": 0.22,
151
+ "learning_rate": 0.00044543470352855586,
152
+ "loss": 3.0695,
153
+ "step": 1200
154
+ },
155
+ {
156
+ "epoch": 0.23,
157
+ "learning_rate": 0.0004431611495089123,
158
+ "loss": 3.0785,
159
+ "step": 1250
160
+ },
161
+ {
162
+ "epoch": 0.24,
163
+ "learning_rate": 0.00044088759548926884,
164
+ "loss": 3.0524,
165
+ "step": 1300
166
+ },
167
+ {
168
+ "epoch": 0.25,
169
+ "learning_rate": 0.0004386140414696253,
170
+ "loss": 3.0275,
171
+ "step": 1350
172
+ },
173
+ {
174
+ "epoch": 0.25,
175
+ "learning_rate": 0.0004363404874499818,
176
+ "loss": 3.0368,
177
+ "step": 1400
178
+ },
179
+ {
180
+ "epoch": 0.26,
181
+ "learning_rate": 0.00043406693343033833,
182
+ "loss": 3.0177,
183
+ "step": 1450
184
+ },
185
+ {
186
+ "epoch": 0.27,
187
+ "learning_rate": 0.0004317933794106948,
188
+ "loss": 3.0117,
189
+ "step": 1500
190
+ },
191
+ {
192
+ "epoch": 0.28,
193
+ "learning_rate": 0.0004295198253910513,
194
+ "loss": 3.0023,
195
+ "step": 1550
196
+ },
197
+ {
198
+ "epoch": 0.29,
199
+ "learning_rate": 0.0004272462713714078,
200
+ "loss": 2.9814,
201
+ "step": 1600
202
+ },
203
+ {
204
+ "epoch": 0.3,
205
+ "learning_rate": 0.0004249727173517643,
206
+ "loss": 2.9867,
207
+ "step": 1650
208
+ },
209
+ {
210
+ "epoch": 0.31,
211
+ "learning_rate": 0.0004226991633321208,
212
+ "loss": 2.991,
213
+ "step": 1700
214
+ },
215
+ {
216
+ "epoch": 0.32,
217
+ "learning_rate": 0.00042042560931247725,
218
+ "loss": 2.9764,
219
+ "step": 1750
220
+ },
221
+ {
222
+ "epoch": 0.33,
223
+ "learning_rate": 0.00041815205529283376,
224
+ "loss": 2.9587,
225
+ "step": 1800
226
+ },
227
+ {
228
+ "epoch": 0.34,
229
+ "learning_rate": 0.0004158785012731903,
230
+ "loss": 2.9651,
231
+ "step": 1850
232
+ },
233
+ {
234
+ "epoch": 0.35,
235
+ "learning_rate": 0.00041360494725354674,
236
+ "loss": 2.9606,
237
+ "step": 1900
238
+ },
239
+ {
240
+ "epoch": 0.35,
241
+ "learning_rate": 0.00041133139323390325,
242
+ "loss": 2.9448,
243
+ "step": 1950
244
+ },
245
+ {
246
+ "epoch": 0.36,
247
+ "learning_rate": 0.00040905783921425977,
248
+ "loss": 2.9585,
249
+ "step": 2000
250
+ },
251
+ {
252
+ "epoch": 0.37,
253
+ "learning_rate": 0.00040678428519461623,
254
+ "loss": 2.9607,
255
+ "step": 2050
256
+ },
257
+ {
258
+ "epoch": 0.38,
259
+ "learning_rate": 0.00040451073117497274,
260
+ "loss": 2.9199,
261
+ "step": 2100
262
+ },
263
+ {
264
+ "epoch": 0.39,
265
+ "learning_rate": 0.0004022371771553292,
266
+ "loss": 2.9303,
267
+ "step": 2150
268
+ },
269
+ {
270
+ "epoch": 0.4,
271
+ "learning_rate": 0.0003999636231356857,
272
+ "loss": 2.9353,
273
+ "step": 2200
274
+ },
275
+ {
276
+ "epoch": 0.41,
277
+ "learning_rate": 0.00039769006911604223,
278
+ "loss": 2.9123,
279
+ "step": 2250
280
+ },
281
+ {
282
+ "epoch": 0.42,
283
+ "learning_rate": 0.0003954165150963987,
284
+ "loss": 2.9161,
285
+ "step": 2300
286
+ },
287
+ {
288
+ "epoch": 0.43,
289
+ "learning_rate": 0.0003931429610767552,
290
+ "loss": 2.9146,
291
+ "step": 2350
292
+ },
293
+ {
294
+ "epoch": 0.44,
295
+ "learning_rate": 0.00039086940705711167,
296
+ "loss": 2.9086,
297
+ "step": 2400
298
+ },
299
+ {
300
+ "epoch": 0.45,
301
+ "learning_rate": 0.0003885958530374682,
302
+ "loss": 2.9094,
303
+ "step": 2450
304
+ },
305
+ {
306
+ "epoch": 0.45,
307
+ "learning_rate": 0.0003863222990178247,
308
+ "loss": 2.8968,
309
+ "step": 2500
310
+ },
311
+ {
312
+ "epoch": 0.46,
313
+ "learning_rate": 0.00038404874499818115,
314
+ "loss": 2.9008,
315
+ "step": 2550
316
+ },
317
+ {
318
+ "epoch": 0.47,
319
+ "learning_rate": 0.0003817751909785376,
320
+ "loss": 2.8836,
321
+ "step": 2600
322
+ },
323
+ {
324
+ "epoch": 0.48,
325
+ "learning_rate": 0.0003795016369588942,
326
+ "loss": 2.8773,
327
+ "step": 2650
328
+ },
329
+ {
330
+ "epoch": 0.49,
331
+ "learning_rate": 0.00037722808293925064,
332
+ "loss": 2.8648,
333
+ "step": 2700
334
+ },
335
+ {
336
+ "epoch": 0.5,
337
+ "learning_rate": 0.00037495452891960716,
338
+ "loss": 2.8699,
339
+ "step": 2750
340
+ },
341
+ {
342
+ "epoch": 0.51,
343
+ "learning_rate": 0.0003726809748999636,
344
+ "loss": 2.8693,
345
+ "step": 2800
346
+ },
347
+ {
348
+ "epoch": 0.52,
349
+ "learning_rate": 0.00037040742088032013,
350
+ "loss": 2.8619,
351
+ "step": 2850
352
+ },
353
+ {
354
+ "epoch": 0.53,
355
+ "learning_rate": 0.00036813386686067665,
356
+ "loss": 2.8591,
357
+ "step": 2900
358
+ },
359
+ {
360
+ "epoch": 0.54,
361
+ "learning_rate": 0.0003658603128410331,
362
+ "loss": 2.8614,
363
+ "step": 2950
364
+ },
365
+ {
366
+ "epoch": 0.55,
367
+ "learning_rate": 0.00036358675882138957,
368
+ "loss": 2.8605,
369
+ "step": 3000
370
+ },
371
+ {
372
+ "epoch": 0.55,
373
+ "learning_rate": 0.00036131320480174613,
374
+ "loss": 2.8357,
375
+ "step": 3050
376
+ },
377
+ {
378
+ "epoch": 0.56,
379
+ "learning_rate": 0.0003590396507821026,
380
+ "loss": 2.847,
381
+ "step": 3100
382
+ },
383
+ {
384
+ "epoch": 0.57,
385
+ "learning_rate": 0.00035676609676245905,
386
+ "loss": 2.8503,
387
+ "step": 3150
388
+ },
389
+ {
390
+ "epoch": 0.58,
391
+ "learning_rate": 0.00035449254274281557,
392
+ "loss": 2.8334,
393
+ "step": 3200
394
+ },
395
+ {
396
+ "epoch": 0.59,
397
+ "learning_rate": 0.0003522189887231721,
398
+ "loss": 2.8424,
399
+ "step": 3250
400
+ },
401
+ {
402
+ "epoch": 0.6,
403
+ "learning_rate": 0.0003499454347035286,
404
+ "loss": 2.8295,
405
+ "step": 3300
406
+ },
407
+ {
408
+ "epoch": 0.61,
409
+ "learning_rate": 0.00034767188068388506,
410
+ "loss": 2.8359,
411
+ "step": 3350
412
+ },
413
+ {
414
+ "epoch": 0.62,
415
+ "learning_rate": 0.0003453983266642415,
416
+ "loss": 2.8252,
417
+ "step": 3400
418
+ },
419
+ {
420
+ "epoch": 0.63,
421
+ "learning_rate": 0.00034312477264459803,
422
+ "loss": 2.82,
423
+ "step": 3450
424
+ },
425
+ {
426
+ "epoch": 0.64,
427
+ "learning_rate": 0.00034085121862495455,
428
+ "loss": 2.8134,
429
+ "step": 3500
430
+ },
431
+ {
432
+ "epoch": 0.65,
433
+ "learning_rate": 0.000338577664605311,
434
+ "loss": 2.8168,
435
+ "step": 3550
436
+ },
437
+ {
438
+ "epoch": 0.65,
439
+ "learning_rate": 0.0003363041105856675,
440
+ "loss": 2.8248,
441
+ "step": 3600
442
+ },
443
+ {
444
+ "epoch": 0.66,
445
+ "learning_rate": 0.000334030556566024,
446
+ "loss": 2.8096,
447
+ "step": 3650
448
+ },
449
+ {
450
+ "epoch": 0.67,
451
+ "learning_rate": 0.00033175700254638055,
452
+ "loss": 2.8154,
453
+ "step": 3700
454
+ },
455
+ {
456
+ "epoch": 0.68,
457
+ "learning_rate": 0.000329483448526737,
458
+ "loss": 2.8015,
459
+ "step": 3750
460
+ },
461
+ {
462
+ "epoch": 0.69,
463
+ "learning_rate": 0.00032720989450709347,
464
+ "loss": 2.8024,
465
+ "step": 3800
466
+ },
467
+ {
468
+ "epoch": 0.7,
469
+ "learning_rate": 0.00032493634048745,
470
+ "loss": 2.7998,
471
+ "step": 3850
472
+ },
473
+ {
474
+ "epoch": 0.71,
475
+ "learning_rate": 0.0003226627864678065,
476
+ "loss": 2.8011,
477
+ "step": 3900
478
+ },
479
+ {
480
+ "epoch": 0.72,
481
+ "learning_rate": 0.00032038923244816296,
482
+ "loss": 2.7963,
483
+ "step": 3950
484
+ },
485
+ {
486
+ "epoch": 0.73,
487
+ "learning_rate": 0.00031811567842851947,
488
+ "loss": 2.7863,
489
+ "step": 4000
490
+ },
491
+ {
492
+ "epoch": 0.74,
493
+ "learning_rate": 0.00031584212440887593,
494
+ "loss": 2.7973,
495
+ "step": 4050
496
+ },
497
+ {
498
+ "epoch": 0.75,
499
+ "learning_rate": 0.0003135685703892325,
500
+ "loss": 2.788,
501
+ "step": 4100
502
+ },
503
+ {
504
+ "epoch": 0.75,
505
+ "learning_rate": 0.00031129501636958896,
506
+ "loss": 2.8026,
507
+ "step": 4150
508
+ },
509
+ {
510
+ "epoch": 0.76,
511
+ "learning_rate": 0.0003090214623499454,
512
+ "loss": 2.7902,
513
+ "step": 4200
514
+ },
515
+ {
516
+ "epoch": 0.77,
517
+ "learning_rate": 0.00030674790833030193,
518
+ "loss": 2.7684,
519
+ "step": 4250
520
+ },
521
+ {
522
+ "epoch": 0.78,
523
+ "learning_rate": 0.00030447435431065845,
524
+ "loss": 2.7846,
525
+ "step": 4300
526
+ },
527
+ {
528
+ "epoch": 0.79,
529
+ "learning_rate": 0.0003022008002910149,
530
+ "loss": 2.7703,
531
+ "step": 4350
532
+ },
533
+ {
534
+ "epoch": 0.8,
535
+ "learning_rate": 0.0002999272462713714,
536
+ "loss": 2.7746,
537
+ "step": 4400
538
+ },
539
+ {
540
+ "epoch": 0.81,
541
+ "learning_rate": 0.0002976536922517279,
542
+ "loss": 2.7674,
543
+ "step": 4450
544
+ },
545
+ {
546
+ "epoch": 0.82,
547
+ "learning_rate": 0.00029538013823208445,
548
+ "loss": 2.7686,
549
+ "step": 4500
550
+ },
551
+ {
552
+ "epoch": 0.83,
553
+ "learning_rate": 0.0002931065842124409,
554
+ "loss": 2.7773,
555
+ "step": 4550
556
+ },
557
+ {
558
+ "epoch": 0.84,
559
+ "learning_rate": 0.00029083303019279737,
560
+ "loss": 2.7475,
561
+ "step": 4600
562
+ },
563
+ {
564
+ "epoch": 0.85,
565
+ "learning_rate": 0.0002885594761731539,
566
+ "loss": 2.7616,
567
+ "step": 4650
568
+ },
569
+ {
570
+ "epoch": 0.85,
571
+ "learning_rate": 0.00028628592215351035,
572
+ "loss": 2.756,
573
+ "step": 4700
574
+ },
575
+ {
576
+ "epoch": 0.86,
577
+ "learning_rate": 0.00028401236813386686,
578
+ "loss": 2.7548,
579
+ "step": 4750
580
+ },
581
+ {
582
+ "epoch": 0.87,
583
+ "learning_rate": 0.0002817388141142234,
584
+ "loss": 2.7499,
585
+ "step": 4800
586
+ },
587
+ {
588
+ "epoch": 0.88,
589
+ "learning_rate": 0.00027946526009457983,
590
+ "loss": 2.7637,
591
+ "step": 4850
592
+ },
593
+ {
594
+ "epoch": 0.89,
595
+ "learning_rate": 0.00027719170607493635,
596
+ "loss": 2.7349,
597
+ "step": 4900
598
+ },
599
+ {
600
+ "epoch": 0.9,
601
+ "learning_rate": 0.00027491815205529286,
602
+ "loss": 2.7346,
603
+ "step": 4950
604
+ },
605
+ {
606
+ "epoch": 0.91,
607
+ "learning_rate": 0.0002726445980356493,
608
+ "loss": 2.7384,
609
+ "step": 5000
610
+ },
611
+ {
612
+ "epoch": 0.92,
613
+ "learning_rate": 0.00027037104401600584,
614
+ "loss": 2.724,
615
+ "step": 5050
616
+ },
617
+ {
618
+ "epoch": 0.93,
619
+ "learning_rate": 0.0002680974899963623,
620
+ "loss": 2.7508,
621
+ "step": 5100
622
+ },
623
+ {
624
+ "epoch": 0.94,
625
+ "learning_rate": 0.0002658239359767188,
626
+ "loss": 2.7523,
627
+ "step": 5150
628
+ },
629
+ {
630
+ "epoch": 0.95,
631
+ "learning_rate": 0.0002635503819570753,
632
+ "loss": 2.7298,
633
+ "step": 5200
634
+ },
635
+ {
636
+ "epoch": 0.95,
637
+ "learning_rate": 0.0002612768279374318,
638
+ "loss": 2.7281,
639
+ "step": 5250
640
+ },
641
+ {
642
+ "epoch": 0.96,
643
+ "learning_rate": 0.0002590032739177883,
644
+ "loss": 2.7215,
645
+ "step": 5300
646
+ },
647
+ {
648
+ "epoch": 0.97,
649
+ "learning_rate": 0.0002567297198981448,
650
+ "loss": 2.7318,
651
+ "step": 5350
652
+ },
653
+ {
654
+ "epoch": 0.98,
655
+ "learning_rate": 0.0002544561658785013,
656
+ "loss": 2.7282,
657
+ "step": 5400
658
+ },
659
+ {
660
+ "epoch": 0.99,
661
+ "learning_rate": 0.0002521826118588578,
662
+ "loss": 2.7313,
663
+ "step": 5450
664
+ },
665
+ {
666
+ "epoch": 1.0,
667
+ "learning_rate": 0.0002499090578392143,
668
+ "loss": 2.7133,
669
+ "step": 5500
670
+ },
671
+ {
672
+ "epoch": 1.01,
673
+ "learning_rate": 0.00024763550381957076,
674
+ "loss": 2.6344,
675
+ "step": 5550
676
+ },
677
+ {
678
+ "epoch": 1.02,
679
+ "learning_rate": 0.0002453619497999273,
680
+ "loss": 2.6231,
681
+ "step": 5600
682
+ },
683
+ {
684
+ "epoch": 1.03,
685
+ "learning_rate": 0.00024308839578028374,
686
+ "loss": 2.609,
687
+ "step": 5650
688
+ },
689
+ {
690
+ "epoch": 1.04,
691
+ "learning_rate": 0.00024081484176064022,
692
+ "loss": 2.6154,
693
+ "step": 5700
694
+ },
695
+ {
696
+ "epoch": 1.05,
697
+ "learning_rate": 0.00023854128774099674,
698
+ "loss": 2.6371,
699
+ "step": 5750
700
+ },
701
+ {
702
+ "epoch": 1.05,
703
+ "learning_rate": 0.0002362677337213532,
704
+ "loss": 2.6082,
705
+ "step": 5800
706
+ },
707
+ {
708
+ "epoch": 1.06,
709
+ "learning_rate": 0.0002339941797017097,
710
+ "loss": 2.6218,
711
+ "step": 5850
712
+ },
713
+ {
714
+ "epoch": 1.07,
715
+ "learning_rate": 0.0002317206256820662,
716
+ "loss": 2.6284,
717
+ "step": 5900
718
+ },
719
+ {
720
+ "epoch": 1.08,
721
+ "learning_rate": 0.00022944707166242271,
722
+ "loss": 2.6191,
723
+ "step": 5950
724
+ },
725
+ {
726
+ "epoch": 1.09,
727
+ "learning_rate": 0.00022717351764277917,
728
+ "loss": 2.6252,
729
+ "step": 6000
730
+ },
731
+ {
732
+ "epoch": 1.1,
733
+ "learning_rate": 0.0002248999636231357,
734
+ "loss": 2.6266,
735
+ "step": 6050
736
+ },
737
+ {
738
+ "epoch": 1.11,
739
+ "learning_rate": 0.00022262640960349218,
740
+ "loss": 2.6426,
741
+ "step": 6100
742
+ },
743
+ {
744
+ "epoch": 1.12,
745
+ "learning_rate": 0.0002203528555838487,
746
+ "loss": 2.6072,
747
+ "step": 6150
748
+ },
749
+ {
750
+ "epoch": 1.13,
751
+ "learning_rate": 0.00021807930156420515,
752
+ "loss": 2.614,
753
+ "step": 6200
754
+ },
755
+ {
756
+ "epoch": 1.14,
757
+ "learning_rate": 0.00021580574754456166,
758
+ "loss": 2.5959,
759
+ "step": 6250
760
+ },
761
+ {
762
+ "epoch": 1.15,
763
+ "learning_rate": 0.00021353219352491815,
764
+ "loss": 2.6065,
765
+ "step": 6300
766
+ },
767
+ {
768
+ "epoch": 1.15,
769
+ "learning_rate": 0.00021125863950527467,
770
+ "loss": 2.6163,
771
+ "step": 6350
772
+ },
773
+ {
774
+ "epoch": 1.16,
775
+ "learning_rate": 0.00020898508548563113,
776
+ "loss": 2.6083,
777
+ "step": 6400
778
+ },
779
+ {
780
+ "epoch": 1.17,
781
+ "learning_rate": 0.00020671153146598764,
782
+ "loss": 2.6119,
783
+ "step": 6450
784
+ },
785
+ {
786
+ "epoch": 1.18,
787
+ "learning_rate": 0.00020443797744634413,
788
+ "loss": 2.6023,
789
+ "step": 6500
790
+ },
791
+ {
792
+ "epoch": 1.19,
793
+ "learning_rate": 0.00020216442342670064,
794
+ "loss": 2.6086,
795
+ "step": 6550
796
+ },
797
+ {
798
+ "epoch": 1.2,
799
+ "learning_rate": 0.0001998908694070571,
800
+ "loss": 2.5988,
801
+ "step": 6600
802
+ },
803
+ {
804
+ "epoch": 1.21,
805
+ "learning_rate": 0.00019761731538741362,
806
+ "loss": 2.6046,
807
+ "step": 6650
808
+ },
809
+ {
810
+ "epoch": 1.22,
811
+ "learning_rate": 0.0001953437613677701,
812
+ "loss": 2.5929,
813
+ "step": 6700
814
+ },
815
+ {
816
+ "epoch": 1.23,
817
+ "learning_rate": 0.00019307020734812662,
818
+ "loss": 2.5935,
819
+ "step": 6750
820
+ },
821
+ {
822
+ "epoch": 1.24,
823
+ "learning_rate": 0.00019079665332848308,
824
+ "loss": 2.5875,
825
+ "step": 6800
826
+ },
827
+ {
828
+ "epoch": 1.25,
829
+ "learning_rate": 0.00018852309930883956,
830
+ "loss": 2.6001,
831
+ "step": 6850
832
+ },
833
+ {
834
+ "epoch": 1.25,
835
+ "learning_rate": 0.00018624954528919608,
836
+ "loss": 2.6021,
837
+ "step": 6900
838
+ },
839
+ {
840
+ "epoch": 1.26,
841
+ "learning_rate": 0.00018397599126955257,
842
+ "loss": 2.5887,
843
+ "step": 6950
844
+ },
845
+ {
846
+ "epoch": 1.27,
847
+ "learning_rate": 0.00018170243724990905,
848
+ "loss": 2.6022,
849
+ "step": 7000
850
+ },
851
+ {
852
+ "epoch": 1.28,
853
+ "learning_rate": 0.00017942888323026554,
854
+ "loss": 2.5965,
855
+ "step": 7050
856
+ },
857
+ {
858
+ "epoch": 1.29,
859
+ "learning_rate": 0.00017715532921062205,
860
+ "loss": 2.5879,
861
+ "step": 7100
862
+ },
863
+ {
864
+ "epoch": 1.3,
865
+ "learning_rate": 0.00017488177519097854,
866
+ "loss": 2.5935,
867
+ "step": 7150
868
+ },
869
+ {
870
+ "epoch": 1.31,
871
+ "learning_rate": 0.00017260822117133503,
872
+ "loss": 2.6041,
873
+ "step": 7200
874
+ },
875
+ {
876
+ "epoch": 1.32,
877
+ "learning_rate": 0.00017033466715169152,
878
+ "loss": 2.6041,
879
+ "step": 7250
880
+ },
881
+ {
882
+ "epoch": 1.33,
883
+ "learning_rate": 0.00016806111313204803,
884
+ "loss": 2.6024,
885
+ "step": 7300
886
+ },
887
+ {
888
+ "epoch": 1.34,
889
+ "learning_rate": 0.00016578755911240452,
890
+ "loss": 2.5995,
891
+ "step": 7350
892
+ },
893
+ {
894
+ "epoch": 1.35,
895
+ "learning_rate": 0.000163514005092761,
896
+ "loss": 2.5959,
897
+ "step": 7400
898
+ },
899
+ {
900
+ "epoch": 1.35,
901
+ "learning_rate": 0.0001612404510731175,
902
+ "loss": 2.579,
903
+ "step": 7450
904
+ },
905
+ {
906
+ "epoch": 1.36,
907
+ "learning_rate": 0.000158966897053474,
908
+ "loss": 2.5807,
909
+ "step": 7500
910
+ }
911
+ ],
912
+ "logging_steps": 50,
913
+ "max_steps": 10996,
914
+ "num_train_epochs": 2,
915
+ "save_steps": 2500,
916
+ "total_flos": 4.9170597543936e+17,
917
+ "trial_name": null,
918
+ "trial_params": null
919
+ }
checkpoint-7500/training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:efdafc920f92f7fef444725b8239e547a249e5e3d18c711b75245d4473de9d3c
3
+ size 4027