kumapo commited on
Commit
280bd26
verified
1 Parent(s): 91013a7

Upload folder using huggingface_hub

Browse files
.gitattributes CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
 
 
33
  *.zip filter=lfs diff=lfs merge=lfs -text
34
  *.zst filter=lfs diff=lfs merge=lfs -text
35
  *tfevents* filter=lfs diff=lfs merge=lfs -text
36
+ eval_nbest_predictions.json filter=lfs diff=lfs merge=lfs -text
README.md ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ library_name: transformers
3
+ license: mit
4
+ base_model: sbintuitions/modernbert-ja-310m
5
+ tags:
6
+ - generated_from_trainer
7
+ datasets:
8
+ - sbintuitions/JSQuAD
9
+ model-index:
10
+ - name: output
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # output
18
+
19
+ This model is a fine-tuned version of [sbintuitions/modernbert-ja-310m](https://huggingface.co/sbintuitions/modernbert-ja-310m) on the sbintuitions/JSQuAD dataset.
20
+
21
+ ## Model description
22
+
23
+ More information needed
24
+
25
+ ## Intended uses & limitations
26
+
27
+ More information needed
28
+
29
+ ## Training and evaluation data
30
+
31
+ More information needed
32
+
33
+ ## Training procedure
34
+
35
+ ### Training hyperparameters
36
+
37
+ The following hyperparameters were used during training:
38
+ - learning_rate: 3e-05
39
+ - train_batch_size: 12
40
+ - eval_batch_size: 8
41
+ - seed: 42
42
+ - optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
43
+ - lr_scheduler_type: linear
44
+ - num_epochs: 1.0
45
+ - mixed_precision_training: Native AMP
46
+
47
+ ### Training results
48
+
49
+
50
+
51
+ ### Framework versions
52
+
53
+ - Transformers 4.52.4
54
+ - Pytorch 2.10.0.dev20251211+cu128
55
+ - Datasets 4.4.1
56
+ - Tokenizers 0.21.4
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_exact_match": 79.71634398919406,
4
+ "eval_f1": 79.68257541647907,
5
+ "eval_runtime": 26.8594,
6
+ "eval_samples": 4442,
7
+ "eval_samples_per_second": 165.38,
8
+ "eval_steps_per_second": 20.7,
9
+ "total_flos": 4.56805831292375e+16,
10
+ "train_loss": 0.49690309092388235,
11
+ "train_runtime": 1658.9592,
12
+ "train_samples": 62859,
13
+ "train_samples_per_second": 37.891,
14
+ "train_steps_per_second": 3.158
15
+ }
config.json ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "architectures": [
3
+ "ModernBertForQuestionAnswering"
4
+ ],
5
+ "attention_bias": false,
6
+ "attention_dropout": 0.0,
7
+ "bos_token_id": 1,
8
+ "classifier_activation": "gelu",
9
+ "classifier_bias": false,
10
+ "classifier_dropout": 0.0,
11
+ "classifier_pooling": "cls",
12
+ "cls_token_id": 6,
13
+ "decoder_bias": true,
14
+ "deterministic_flash_attn": false,
15
+ "embedding_dropout": 0.0,
16
+ "eos_token_id": 2,
17
+ "global_attn_every_n_layers": 3,
18
+ "global_rope_theta": 160000.0,
19
+ "gradient_checkpointing": false,
20
+ "hidden_activation": "gelu",
21
+ "hidden_size": 768,
22
+ "initializer_cutoff_factor": 2.0,
23
+ "initializer_range": 0.02,
24
+ "intermediate_size": 3072,
25
+ "layer_norm_eps": 1e-05,
26
+ "local_attention": 128,
27
+ "local_rope_theta": 10000.0,
28
+ "max_position_embeddings": 8192,
29
+ "mlp_bias": false,
30
+ "mlp_dropout": 0.0,
31
+ "model_type": "modernbert",
32
+ "norm_bias": false,
33
+ "norm_eps": 1e-05,
34
+ "num_attention_heads": 12,
35
+ "num_hidden_layers": 25,
36
+ "pad_token_id": 3,
37
+ "position_embedding_type": "rope",
38
+ "repad_logits_with_grad": false,
39
+ "sep_token_id": 4,
40
+ "sparse_pred_ignore_index": -100,
41
+ "sparse_prediction": false,
42
+ "torch_dtype": "float32",
43
+ "transformers_version": "4.52.4",
44
+ "vocab_size": 102400
45
+ }
eval_nbest_predictions.json ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:acd81724120a080136278ec6c73d2394ffa089dcbe04d428ea1f32a3ebee839d
3
+ size 23487293
eval_predictions.json ADDED
The diff for this file is too large to render. See raw diff
 
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "eval_exact_match": 79.71634398919406,
4
+ "eval_f1": 79.68257541647907,
5
+ "eval_runtime": 26.8594,
6
+ "eval_samples": 4442,
7
+ "eval_samples_per_second": 165.38,
8
+ "eval_steps_per_second": 20.7
9
+ }
model.safetensors ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:7ef718ea626b20d83139eb0a16adc6d732cca83edaf855c838e0c9fb973a594e
3
+ size 1260832512
special_tokens_map.json ADDED
@@ -0,0 +1,51 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "bos_token": {
3
+ "content": "<s>",
4
+ "lstrip": false,
5
+ "normalized": false,
6
+ "rstrip": false,
7
+ "single_word": false
8
+ },
9
+ "cls_token": {
10
+ "content": "<cls>",
11
+ "lstrip": false,
12
+ "normalized": false,
13
+ "rstrip": false,
14
+ "single_word": false
15
+ },
16
+ "eos_token": {
17
+ "content": "</s>",
18
+ "lstrip": false,
19
+ "normalized": false,
20
+ "rstrip": false,
21
+ "single_word": false
22
+ },
23
+ "mask_token": {
24
+ "content": "<mask>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false
29
+ },
30
+ "pad_token": {
31
+ "content": "<pad>",
32
+ "lstrip": false,
33
+ "normalized": false,
34
+ "rstrip": false,
35
+ "single_word": false
36
+ },
37
+ "sep_token": {
38
+ "content": "<sep>",
39
+ "lstrip": false,
40
+ "normalized": false,
41
+ "rstrip": false,
42
+ "single_word": false
43
+ },
44
+ "unk_token": {
45
+ "content": "<unk>",
46
+ "lstrip": false,
47
+ "normalized": false,
48
+ "rstrip": false,
49
+ "single_word": false
50
+ }
51
+ }
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer.model ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:008293028e1a9d9a1038d9b63d989a2319797dfeaa03f171093a57b33a3a8277
3
+ size 1831879
tokenizer_config.json ADDED
@@ -0,0 +1,171 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "add_bos_token": true,
3
+ "add_dummy_prefix_space": false,
4
+ "add_eos_token": true,
5
+ "add_prefix_space": false,
6
+ "added_tokens_decoder": {
7
+ "0": {
8
+ "content": "<unk>",
9
+ "lstrip": false,
10
+ "normalized": false,
11
+ "rstrip": false,
12
+ "single_word": false,
13
+ "special": true
14
+ },
15
+ "1": {
16
+ "content": "<s>",
17
+ "lstrip": false,
18
+ "normalized": false,
19
+ "rstrip": false,
20
+ "single_word": false,
21
+ "special": true
22
+ },
23
+ "2": {
24
+ "content": "</s>",
25
+ "lstrip": false,
26
+ "normalized": false,
27
+ "rstrip": false,
28
+ "single_word": false,
29
+ "special": true
30
+ },
31
+ "3": {
32
+ "content": "<pad>",
33
+ "lstrip": false,
34
+ "normalized": false,
35
+ "rstrip": false,
36
+ "single_word": false,
37
+ "special": true
38
+ },
39
+ "4": {
40
+ "content": "<sep>",
41
+ "lstrip": false,
42
+ "normalized": false,
43
+ "rstrip": false,
44
+ "single_word": false,
45
+ "special": true
46
+ },
47
+ "5": {
48
+ "content": "<mask>",
49
+ "lstrip": false,
50
+ "normalized": false,
51
+ "rstrip": false,
52
+ "single_word": false,
53
+ "special": true
54
+ },
55
+ "6": {
56
+ "content": "<cls>",
57
+ "lstrip": false,
58
+ "normalized": false,
59
+ "rstrip": false,
60
+ "single_word": false,
61
+ "special": true
62
+ },
63
+ "7": {
64
+ "content": "<|system|>",
65
+ "lstrip": false,
66
+ "normalized": false,
67
+ "rstrip": false,
68
+ "single_word": false,
69
+ "special": false
70
+ },
71
+ "8": {
72
+ "content": "<|assistant|>",
73
+ "lstrip": false,
74
+ "normalized": false,
75
+ "rstrip": false,
76
+ "single_word": false,
77
+ "special": false
78
+ },
79
+ "9": {
80
+ "content": "<|user|>",
81
+ "lstrip": false,
82
+ "normalized": false,
83
+ "rstrip": false,
84
+ "single_word": false,
85
+ "special": false
86
+ },
87
+ "10": {
88
+ "content": "<|available_tools|>",
89
+ "lstrip": false,
90
+ "normalized": false,
91
+ "rstrip": false,
92
+ "single_word": false,
93
+ "special": false
94
+ },
95
+ "11": {
96
+ "content": "<|tool_calls|>",
97
+ "lstrip": false,
98
+ "normalized": false,
99
+ "rstrip": false,
100
+ "single_word": false,
101
+ "special": false
102
+ },
103
+ "12": {
104
+ "content": "<|tool_results|>",
105
+ "lstrip": false,
106
+ "normalized": false,
107
+ "rstrip": false,
108
+ "single_word": false,
109
+ "special": false
110
+ },
111
+ "13": {
112
+ "content": "<|code|>",
113
+ "lstrip": false,
114
+ "normalized": false,
115
+ "rstrip": false,
116
+ "single_word": false,
117
+ "special": false
118
+ },
119
+ "14": {
120
+ "content": "<|file|>",
121
+ "lstrip": false,
122
+ "normalized": false,
123
+ "rstrip": false,
124
+ "single_word": false,
125
+ "special": false
126
+ },
127
+ "102397": {
128
+ "content": "<|prefix|>",
129
+ "lstrip": false,
130
+ "normalized": false,
131
+ "rstrip": false,
132
+ "single_word": false,
133
+ "special": false
134
+ },
135
+ "102398": {
136
+ "content": "<|suffix|>",
137
+ "lstrip": false,
138
+ "normalized": false,
139
+ "rstrip": false,
140
+ "single_word": false,
141
+ "special": false
142
+ },
143
+ "102399": {
144
+ "content": "<|middle|>",
145
+ "lstrip": false,
146
+ "normalized": false,
147
+ "rstrip": false,
148
+ "single_word": false,
149
+ "special": false
150
+ }
151
+ },
152
+ "bos_token": "<s>",
153
+ "clean_up_tokenization_spaces": false,
154
+ "cls_token": "<cls>",
155
+ "do_lower_case": false,
156
+ "eos_token": "</s>",
157
+ "extra_ids": 0,
158
+ "extra_special_tokens": {},
159
+ "keep_accents": true,
160
+ "legacy": false,
161
+ "mask_token": "<mask>",
162
+ "model_max_length": 1000000000000000019884624838656,
163
+ "pad_token": "<pad>",
164
+ "padding_side": "right",
165
+ "sep_token": "<sep>",
166
+ "sp_model_kwargs": {},
167
+ "spaces_between_special_tokens": false,
168
+ "tokenizer_class": "LlamaTokenizer",
169
+ "unk_token": "<unk>",
170
+ "use_default_system_prompt": false
171
+ }
train_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 1.0,
3
+ "total_flos": 4.56805831292375e+16,
4
+ "train_loss": 0.49690309092388235,
5
+ "train_runtime": 1658.9592,
6
+ "train_samples": 62859,
7
+ "train_samples_per_second": 37.891,
8
+ "train_steps_per_second": 3.158
9
+ }
trainer_state.json ADDED
@@ -0,0 +1,497 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_global_step": null,
3
+ "best_metric": null,
4
+ "best_model_checkpoint": null,
5
+ "epoch": 1.0,
6
+ "eval_steps": 500,
7
+ "global_step": 5239,
8
+ "is_hyper_param_search": false,
9
+ "is_local_process_zero": true,
10
+ "is_world_process_zero": true,
11
+ "log_history": [
12
+ {
13
+ "epoch": 0.01908761213972132,
14
+ "grad_norm": 24.85356330871582,
15
+ "learning_rate": 2.9484634472227524e-05,
16
+ "loss": 2.8924,
17
+ "step": 100
18
+ },
19
+ {
20
+ "epoch": 0.03817522427944264,
21
+ "grad_norm": 11.6854829788208,
22
+ "learning_rate": 2.8912006108035885e-05,
23
+ "loss": 0.7288,
24
+ "step": 200
25
+ },
26
+ {
27
+ "epoch": 0.057262836419163965,
28
+ "grad_norm": 14.07279109954834,
29
+ "learning_rate": 2.8339377743844245e-05,
30
+ "loss": 0.6985,
31
+ "step": 300
32
+ },
33
+ {
34
+ "epoch": 0.07635044855888529,
35
+ "grad_norm": 12.763427734375,
36
+ "learning_rate": 2.7766749379652605e-05,
37
+ "loss": 0.6016,
38
+ "step": 400
39
+ },
40
+ {
41
+ "epoch": 0.09543806069860661,
42
+ "grad_norm": 10.65344524383545,
43
+ "learning_rate": 2.7194121015460965e-05,
44
+ "loss": 0.5952,
45
+ "step": 500
46
+ },
47
+ {
48
+ "epoch": 0.09543806069860661,
49
+ "eval_exact_match": 74.24583520936515,
50
+ "eval_f1": 74.39195128749384,
51
+ "eval_runtime": 27.1246,
52
+ "eval_samples_per_second": 163.763,
53
+ "eval_steps_per_second": 20.498,
54
+ "step": 500
55
+ },
56
+ {
57
+ "epoch": 0.11452567283832793,
58
+ "grad_norm": 24.665790557861328,
59
+ "learning_rate": 2.6621492651269326e-05,
60
+ "loss": 0.5502,
61
+ "step": 600
62
+ },
63
+ {
64
+ "epoch": 0.13361328497804925,
65
+ "grad_norm": 5.523789405822754,
66
+ "learning_rate": 2.6048864287077686e-05,
67
+ "loss": 0.6028,
68
+ "step": 700
69
+ },
70
+ {
71
+ "epoch": 0.15270089711777057,
72
+ "grad_norm": 21.62483787536621,
73
+ "learning_rate": 2.5476235922886046e-05,
74
+ "loss": 0.5487,
75
+ "step": 800
76
+ },
77
+ {
78
+ "epoch": 0.1717885092574919,
79
+ "grad_norm": 3.459503412246704,
80
+ "learning_rate": 2.4903607558694406e-05,
81
+ "loss": 0.5442,
82
+ "step": 900
83
+ },
84
+ {
85
+ "epoch": 0.19087612139721322,
86
+ "grad_norm": 6.397250652313232,
87
+ "learning_rate": 2.4330979194502767e-05,
88
+ "loss": 0.4708,
89
+ "step": 1000
90
+ },
91
+ {
92
+ "epoch": 0.19087612139721322,
93
+ "eval_exact_match": 75.73165240882486,
94
+ "eval_f1": 75.78096524517056,
95
+ "eval_runtime": 27.0858,
96
+ "eval_samples_per_second": 163.997,
97
+ "eval_steps_per_second": 20.527,
98
+ "step": 1000
99
+ },
100
+ {
101
+ "epoch": 0.20996373353693454,
102
+ "grad_norm": 5.82578182220459,
103
+ "learning_rate": 2.3758350830311127e-05,
104
+ "loss": 0.4403,
105
+ "step": 1100
106
+ },
107
+ {
108
+ "epoch": 0.22905134567665586,
109
+ "grad_norm": 55.54654312133789,
110
+ "learning_rate": 2.3185722466119487e-05,
111
+ "loss": 0.5175,
112
+ "step": 1200
113
+ },
114
+ {
115
+ "epoch": 0.24813895781637718,
116
+ "grad_norm": 3.4721755981445312,
117
+ "learning_rate": 2.2613094101927848e-05,
118
+ "loss": 0.4986,
119
+ "step": 1300
120
+ },
121
+ {
122
+ "epoch": 0.2672265699560985,
123
+ "grad_norm": 10.456282615661621,
124
+ "learning_rate": 2.2040465737736208e-05,
125
+ "loss": 0.5227,
126
+ "step": 1400
127
+ },
128
+ {
129
+ "epoch": 0.2863141820958198,
130
+ "grad_norm": 26.73484992980957,
131
+ "learning_rate": 2.1467837373544568e-05,
132
+ "loss": 0.4404,
133
+ "step": 1500
134
+ },
135
+ {
136
+ "epoch": 0.2863141820958198,
137
+ "eval_exact_match": 75.73165240882486,
138
+ "eval_f1": 75.79168542698483,
139
+ "eval_runtime": 27.0984,
140
+ "eval_samples_per_second": 163.921,
141
+ "eval_steps_per_second": 20.518,
142
+ "step": 1500
143
+ },
144
+ {
145
+ "epoch": 0.30540179423554115,
146
+ "grad_norm": 13.284788131713867,
147
+ "learning_rate": 2.089520900935293e-05,
148
+ "loss": 0.4939,
149
+ "step": 1600
150
+ },
151
+ {
152
+ "epoch": 0.32448940637526247,
153
+ "grad_norm": 1.5096017122268677,
154
+ "learning_rate": 2.032258064516129e-05,
155
+ "loss": 0.4657,
156
+ "step": 1700
157
+ },
158
+ {
159
+ "epoch": 0.3435770185149838,
160
+ "grad_norm": 10.362142562866211,
161
+ "learning_rate": 1.974995228096965e-05,
162
+ "loss": 0.4559,
163
+ "step": 1800
164
+ },
165
+ {
166
+ "epoch": 0.3626646306547051,
167
+ "grad_norm": 12.559228897094727,
168
+ "learning_rate": 1.917732391677801e-05,
169
+ "loss": 0.4998,
170
+ "step": 1900
171
+ },
172
+ {
173
+ "epoch": 0.38175224279442643,
174
+ "grad_norm": 8.283560752868652,
175
+ "learning_rate": 1.860469555258637e-05,
176
+ "loss": 0.4603,
177
+ "step": 2000
178
+ },
179
+ {
180
+ "epoch": 0.38175224279442643,
181
+ "eval_exact_match": 77.73525438991446,
182
+ "eval_f1": 77.81083167170515,
183
+ "eval_runtime": 27.123,
184
+ "eval_samples_per_second": 163.772,
185
+ "eval_steps_per_second": 20.499,
186
+ "step": 2000
187
+ },
188
+ {
189
+ "epoch": 0.40083985493414775,
190
+ "grad_norm": 5.818004131317139,
191
+ "learning_rate": 1.803206718839473e-05,
192
+ "loss": 0.4361,
193
+ "step": 2100
194
+ },
195
+ {
196
+ "epoch": 0.4199274670738691,
197
+ "grad_norm": 14.656002044677734,
198
+ "learning_rate": 1.745943882420309e-05,
199
+ "loss": 0.467,
200
+ "step": 2200
201
+ },
202
+ {
203
+ "epoch": 0.4390150792135904,
204
+ "grad_norm": 8.953429222106934,
205
+ "learning_rate": 1.688681046001145e-05,
206
+ "loss": 0.3691,
207
+ "step": 2300
208
+ },
209
+ {
210
+ "epoch": 0.4581026913533117,
211
+ "grad_norm": 9.16756820678711,
212
+ "learning_rate": 1.631418209581981e-05,
213
+ "loss": 0.4318,
214
+ "step": 2400
215
+ },
216
+ {
217
+ "epoch": 0.47719030349303304,
218
+ "grad_norm": 12.255992889404297,
219
+ "learning_rate": 1.574155373162817e-05,
220
+ "loss": 0.4323,
221
+ "step": 2500
222
+ },
223
+ {
224
+ "epoch": 0.47719030349303304,
225
+ "eval_exact_match": 78.09545249887438,
226
+ "eval_f1": 78.14723097703737,
227
+ "eval_runtime": 27.2895,
228
+ "eval_samples_per_second": 162.773,
229
+ "eval_steps_per_second": 20.374,
230
+ "step": 2500
231
+ },
232
+ {
233
+ "epoch": 0.49627791563275436,
234
+ "grad_norm": 15.877165794372559,
235
+ "learning_rate": 1.5168925367436533e-05,
236
+ "loss": 0.392,
237
+ "step": 2600
238
+ },
239
+ {
240
+ "epoch": 0.5153655277724757,
241
+ "grad_norm": 18.496259689331055,
242
+ "learning_rate": 1.4596297003244895e-05,
243
+ "loss": 0.4044,
244
+ "step": 2700
245
+ },
246
+ {
247
+ "epoch": 0.534453139912197,
248
+ "grad_norm": 12.297314643859863,
249
+ "learning_rate": 1.4023668639053255e-05,
250
+ "loss": 0.4233,
251
+ "step": 2800
252
+ },
253
+ {
254
+ "epoch": 0.5535407520519183,
255
+ "grad_norm": 4.0507049560546875,
256
+ "learning_rate": 1.3451040274861615e-05,
257
+ "loss": 0.4213,
258
+ "step": 2900
259
+ },
260
+ {
261
+ "epoch": 0.5726283641916396,
262
+ "grad_norm": 6.028878211975098,
263
+ "learning_rate": 1.2878411910669976e-05,
264
+ "loss": 0.4129,
265
+ "step": 3000
266
+ },
267
+ {
268
+ "epoch": 0.5726283641916396,
269
+ "eval_exact_match": 78.77082395317424,
270
+ "eval_f1": 78.77832808044424,
271
+ "eval_runtime": 27.3136,
272
+ "eval_samples_per_second": 162.629,
273
+ "eval_steps_per_second": 20.356,
274
+ "step": 3000
275
+ },
276
+ {
277
+ "epoch": 0.591715976331361,
278
+ "grad_norm": 2.101097583770752,
279
+ "learning_rate": 1.2305783546478336e-05,
280
+ "loss": 0.386,
281
+ "step": 3100
282
+ },
283
+ {
284
+ "epoch": 0.6108035884710823,
285
+ "grad_norm": 26.336244583129883,
286
+ "learning_rate": 1.1733155182286696e-05,
287
+ "loss": 0.4582,
288
+ "step": 3200
289
+ },
290
+ {
291
+ "epoch": 0.6298912006108036,
292
+ "grad_norm": 1.0698107481002808,
293
+ "learning_rate": 1.1160526818095056e-05,
294
+ "loss": 0.3729,
295
+ "step": 3300
296
+ },
297
+ {
298
+ "epoch": 0.6489788127505249,
299
+ "grad_norm": 24.801355361938477,
300
+ "learning_rate": 1.0587898453903417e-05,
301
+ "loss": 0.3804,
302
+ "step": 3400
303
+ },
304
+ {
305
+ "epoch": 0.6680664248902463,
306
+ "grad_norm": 27.99701690673828,
307
+ "learning_rate": 1.0015270089711777e-05,
308
+ "loss": 0.4083,
309
+ "step": 3500
310
+ },
311
+ {
312
+ "epoch": 0.6680664248902463,
313
+ "eval_exact_match": 78.18550202611436,
314
+ "eval_f1": 78.18325078793336,
315
+ "eval_runtime": 26.9164,
316
+ "eval_samples_per_second": 165.03,
317
+ "eval_steps_per_second": 20.657,
318
+ "step": 3500
319
+ },
320
+ {
321
+ "epoch": 0.6871540370299676,
322
+ "grad_norm": 1.1666632890701294,
323
+ "learning_rate": 9.442641725520137e-06,
324
+ "loss": 0.3877,
325
+ "step": 3600
326
+ },
327
+ {
328
+ "epoch": 0.7062416491696889,
329
+ "grad_norm": 15.128180503845215,
330
+ "learning_rate": 8.870013361328497e-06,
331
+ "loss": 0.4168,
332
+ "step": 3700
333
+ },
334
+ {
335
+ "epoch": 0.7253292613094102,
336
+ "grad_norm": 22.817325592041016,
337
+ "learning_rate": 8.297384997136858e-06,
338
+ "loss": 0.4292,
339
+ "step": 3800
340
+ },
341
+ {
342
+ "epoch": 0.7444168734491315,
343
+ "grad_norm": 11.064777374267578,
344
+ "learning_rate": 7.724756632945218e-06,
345
+ "loss": 0.4225,
346
+ "step": 3900
347
+ },
348
+ {
349
+ "epoch": 0.7635044855888529,
350
+ "grad_norm": 6.2987060546875,
351
+ "learning_rate": 7.152128268753579e-06,
352
+ "loss": 0.39,
353
+ "step": 4000
354
+ },
355
+ {
356
+ "epoch": 0.7635044855888529,
357
+ "eval_exact_match": 78.95092300765421,
358
+ "eval_f1": 78.91715443493922,
359
+ "eval_runtime": 26.9864,
360
+ "eval_samples_per_second": 164.602,
361
+ "eval_steps_per_second": 20.603,
362
+ "step": 4000
363
+ },
364
+ {
365
+ "epoch": 0.7825920977285742,
366
+ "grad_norm": 13.171396255493164,
367
+ "learning_rate": 6.579499904561939e-06,
368
+ "loss": 0.4579,
369
+ "step": 4100
370
+ },
371
+ {
372
+ "epoch": 0.8016797098682955,
373
+ "grad_norm": 5.967886924743652,
374
+ "learning_rate": 6.0068715403703e-06,
375
+ "loss": 0.3918,
376
+ "step": 4200
377
+ },
378
+ {
379
+ "epoch": 0.8207673220080168,
380
+ "grad_norm": 15.37869930267334,
381
+ "learning_rate": 5.43424317617866e-06,
382
+ "loss": 0.3938,
383
+ "step": 4300
384
+ },
385
+ {
386
+ "epoch": 0.8398549341477382,
387
+ "grad_norm": 14.545265197753906,
388
+ "learning_rate": 4.86161481198702e-06,
389
+ "loss": 0.3823,
390
+ "step": 4400
391
+ },
392
+ {
393
+ "epoch": 0.8589425462874595,
394
+ "grad_norm": 22.79754638671875,
395
+ "learning_rate": 4.2889864477953805e-06,
396
+ "loss": 0.3429,
397
+ "step": 4500
398
+ },
399
+ {
400
+ "epoch": 0.8589425462874595,
401
+ "eval_exact_match": 79.19855920756416,
402
+ "eval_f1": 79.16479063484917,
403
+ "eval_runtime": 26.9798,
404
+ "eval_samples_per_second": 164.642,
405
+ "eval_steps_per_second": 20.608,
406
+ "step": 4500
407
+ },
408
+ {
409
+ "epoch": 0.8780301584271808,
410
+ "grad_norm": 19.819913864135742,
411
+ "learning_rate": 3.716358083603741e-06,
412
+ "loss": 0.3482,
413
+ "step": 4600
414
+ },
415
+ {
416
+ "epoch": 0.8971177705669021,
417
+ "grad_norm": 14.867344856262207,
418
+ "learning_rate": 3.1437297194121014e-06,
419
+ "loss": 0.3886,
420
+ "step": 4700
421
+ },
422
+ {
423
+ "epoch": 0.9162053827066234,
424
+ "grad_norm": 5.279645919799805,
425
+ "learning_rate": 2.571101355220462e-06,
426
+ "loss": 0.3932,
427
+ "step": 4800
428
+ },
429
+ {
430
+ "epoch": 0.9352929948463448,
431
+ "grad_norm": 17.6607666015625,
432
+ "learning_rate": 1.9984729910288224e-06,
433
+ "loss": 0.369,
434
+ "step": 4900
435
+ },
436
+ {
437
+ "epoch": 0.9543806069860661,
438
+ "grad_norm": 29.288660049438477,
439
+ "learning_rate": 1.4258446268371827e-06,
440
+ "loss": 0.3289,
441
+ "step": 5000
442
+ },
443
+ {
444
+ "epoch": 0.9543806069860661,
445
+ "eval_exact_match": 79.73885637100405,
446
+ "eval_f1": 79.70508779828906,
447
+ "eval_runtime": 26.9148,
448
+ "eval_samples_per_second": 165.039,
449
+ "eval_steps_per_second": 20.658,
450
+ "step": 5000
451
+ },
452
+ {
453
+ "epoch": 0.9734682191257874,
454
+ "grad_norm": 18.447587966918945,
455
+ "learning_rate": 8.53216262645543e-07,
456
+ "loss": 0.4057,
457
+ "step": 5100
458
+ },
459
+ {
460
+ "epoch": 0.9925558312655087,
461
+ "grad_norm": 4.9967122077941895,
462
+ "learning_rate": 2.8058789845390346e-07,
463
+ "loss": 0.3995,
464
+ "step": 5200
465
+ },
466
+ {
467
+ "epoch": 1.0,
468
+ "step": 5239,
469
+ "total_flos": 4.56805831292375e+16,
470
+ "train_loss": 0.49690309092388235,
471
+ "train_runtime": 1658.9592,
472
+ "train_samples_per_second": 37.891,
473
+ "train_steps_per_second": 3.158
474
+ }
475
+ ],
476
+ "logging_steps": 100,
477
+ "max_steps": 5239,
478
+ "num_input_tokens_seen": 0,
479
+ "num_train_epochs": 1,
480
+ "save_steps": 500,
481
+ "stateful_callbacks": {
482
+ "TrainerControl": {
483
+ "args": {
484
+ "should_epoch_stop": false,
485
+ "should_evaluate": false,
486
+ "should_log": false,
487
+ "should_save": true,
488
+ "should_training_stop": true
489
+ },
490
+ "attributes": {}
491
+ }
492
+ },
493
+ "total_flos": 4.56805831292375e+16,
494
+ "train_batch_size": 12,
495
+ "trial_name": null,
496
+ "trial_params": null
497
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:bc5128ecc3140315ba84032188042b886b7fc23bff7da40e11d81da4073f02fe
3
+ size 5713