EhsanAghazadeh commited on
Commit
3c47de8
1 Parent(s): d23e2b6

Add model and its dependencies

Browse files
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.8575587868690491,
4
+ "eval_loss": 0.3921225965023041,
5
+ "eval_runtime": 7.2241,
6
+ "eval_samples": 4465,
7
+ "eval_samples_per_second": 618.073,
8
+ "eval_steps_per_second": 77.38,
9
+ "train_loss": 0.16532029376716645,
10
+ "train_runtime": 1732.3817,
11
+ "train_samples": 39769,
12
+ "train_samples_per_second": 229.563,
13
+ "train_steps_per_second": 7.175
14
+ }
config.json ADDED
@@ -0,0 +1,28 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "google/electra-base-discriminator",
3
+ "architectures": [
4
+ "ElectraForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "embedding_size": 768,
8
+ "hidden_act": "gelu",
9
+ "hidden_dropout_prob": 0.1,
10
+ "hidden_size": 768,
11
+ "initializer_range": 0.02,
12
+ "intermediate_size": 3072,
13
+ "layer_norm_eps": 1e-12,
14
+ "max_position_embeddings": 512,
15
+ "model_type": "electra",
16
+ "num_attention_heads": 12,
17
+ "num_hidden_layers": 12,
18
+ "pad_token_id": 0,
19
+ "position_embedding_type": "absolute",
20
+ "problem_type": "single_label_classification",
21
+ "summary_activation": "gelu",
22
+ "summary_last_dropout": 0.1,
23
+ "summary_type": "first",
24
+ "summary_use_proj": true,
25
+ "transformers_version": "4.9.0.dev0",
26
+ "type_vocab_size": 2,
27
+ "vocab_size": 30522
28
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.8575587868690491,
4
+ "eval_loss": 0.3921225965023041,
5
+ "eval_runtime": 7.2241,
6
+ "eval_samples": 4465,
7
+ "eval_samples_per_second": 618.073,
8
+ "eval_steps_per_second": 77.38
9
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:5ec1e789524718a4ad5f73ab9165b28fdfa1c6a5a3ce2b920e79c00a51114e76
3
+ size 438020461
special_tokens_map.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]"}
tokenizer.json ADDED
The diff for this file is too large to render. See raw diff
 
tokenizer_config.json ADDED
@@ -0,0 +1 @@
 
 
1
+ {"do_lower_case": true, "unk_token": "[UNK]", "sep_token": "[SEP]", "pad_token": "[PAD]", "cls_token": "[CLS]", "mask_token": "[MASK]", "tokenize_chinese_chars": true, "strip_accents": null, "model_max_length": 512, "special_tokens_map_file": null, "name_or_path": "google/electra-base-discriminator", "tokenizer_class": "ElectraTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "train_loss": 0.16532029376716645,
4
+ "train_runtime": 1732.3817,
5
+ "train_samples": 39769,
6
+ "train_samples_per_second": 229.563,
7
+ "train_steps_per_second": 7.175
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.8575587868690491,
3
+ "best_model_checkpoint": "./electra-base-discriminator/fine_tuned_models/checkpoint-3729",
4
+ "epoch": 10.0,
5
+ "global_step": 12430,
6
+ "is_hyper_param_search": false,
7
+ "is_local_process_zero": true,
8
+ "is_world_process_zero": true,
9
+ "log_history": [
10
+ {
11
+ "epoch": 1.0,
12
+ "learning_rate": 1.9998212370396856e-05,
13
+ "loss": 0.5211,
14
+ "step": 1243
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.8279955387115479,
19
+ "eval_loss": 0.3951820731163025,
20
+ "eval_runtime": 7.0965,
21
+ "eval_samples_per_second": 629.183,
22
+ "eval_steps_per_second": 78.771,
23
+ "step": 1243
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "learning_rate": 1.7776188773686092e-05,
28
+ "loss": 0.3301,
29
+ "step": 2486
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.8539753556251526,
34
+ "eval_loss": 0.356336385011673,
35
+ "eval_runtime": 7.2692,
36
+ "eval_samples_per_second": 614.237,
37
+ "eval_steps_per_second": 76.9,
38
+ "step": 2486
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "learning_rate": 1.5554165176975332e-05,
43
+ "loss": 0.2267,
44
+ "step": 3729
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.8575587868690491,
49
+ "eval_loss": 0.3921225965023041,
50
+ "eval_runtime": 7.1896,
51
+ "eval_samples_per_second": 621.038,
52
+ "eval_steps_per_second": 77.752,
53
+ "step": 3729
54
+ },
55
+ {
56
+ "epoch": 4.0,
57
+ "learning_rate": 1.333214158026457e-05,
58
+ "loss": 0.1557,
59
+ "step": 4972
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.8546472787857056,
64
+ "eval_loss": 0.46923860907554626,
65
+ "eval_runtime": 7.2458,
66
+ "eval_samples_per_second": 616.217,
67
+ "eval_steps_per_second": 77.148,
68
+ "step": 4972
69
+ },
70
+ {
71
+ "epoch": 5.0,
72
+ "learning_rate": 1.1110117983553808e-05,
73
+ "loss": 0.1155,
74
+ "step": 6215
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.8559910655021667,
79
+ "eval_loss": 0.5102965831756592,
80
+ "eval_runtime": 7.4396,
81
+ "eval_samples_per_second": 600.169,
82
+ "eval_steps_per_second": 75.139,
83
+ "step": 6215
84
+ },
85
+ {
86
+ "epoch": 6.0,
87
+ "learning_rate": 8.888094386843046e-06,
88
+ "loss": 0.0894,
89
+ "step": 7458
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_accuracy": 0.856662929058075,
94
+ "eval_loss": 0.6104263663291931,
95
+ "eval_runtime": 7.2873,
96
+ "eval_samples_per_second": 612.707,
97
+ "eval_steps_per_second": 76.708,
98
+ "step": 7458
99
+ },
100
+ {
101
+ "epoch": 7.0,
102
+ "learning_rate": 6.666070790132285e-06,
103
+ "loss": 0.0702,
104
+ "step": 8701
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_accuracy": 0.8533034920692444,
109
+ "eval_loss": 0.6788500547409058,
110
+ "eval_runtime": 7.0995,
111
+ "eval_samples_per_second": 628.92,
112
+ "eval_steps_per_second": 78.738,
113
+ "step": 8701
114
+ },
115
+ {
116
+ "epoch": 8.0,
117
+ "learning_rate": 4.444047193421523e-06,
118
+ "loss": 0.0594,
119
+ "step": 9944
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_accuracy": 0.8524076342582703,
124
+ "eval_loss": 0.7277155518531799,
125
+ "eval_runtime": 7.218,
126
+ "eval_samples_per_second": 618.59,
127
+ "eval_steps_per_second": 77.445,
128
+ "step": 9944
129
+ },
130
+ {
131
+ "epoch": 9.0,
132
+ "learning_rate": 2.2220235967107616e-06,
133
+ "loss": 0.0472,
134
+ "step": 11187
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_accuracy": 0.8546472787857056,
139
+ "eval_loss": 0.8223575949668884,
140
+ "eval_runtime": 7.1336,
141
+ "eval_samples_per_second": 625.908,
142
+ "eval_steps_per_second": 78.361,
143
+ "step": 11187
144
+ },
145
+ {
146
+ "epoch": 10.0,
147
+ "learning_rate": 0.0,
148
+ "loss": 0.0379,
149
+ "step": 12430
150
+ },
151
+ {
152
+ "epoch": 10.0,
153
+ "eval_accuracy": 0.8521836400032043,
154
+ "eval_loss": 0.8311443328857422,
155
+ "eval_runtime": 7.1227,
156
+ "eval_samples_per_second": 626.866,
157
+ "eval_steps_per_second": 78.481,
158
+ "step": 12430
159
+ },
160
+ {
161
+ "epoch": 10.0,
162
+ "step": 12430,
163
+ "total_flos": 1.671959181036288e+16,
164
+ "train_loss": 0.16532029376716645,
165
+ "train_runtime": 1732.3817,
166
+ "train_samples_per_second": 229.563,
167
+ "train_steps_per_second": 7.175
168
+ }
169
+ ],
170
+ "max_steps": 12430,
171
+ "num_train_epochs": 10,
172
+ "total_flos": 1.671959181036288e+16,
173
+ "trial_name": null,
174
+ "trial_params": null
175
+ }
training_args.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:24a561a3d451b81ace29c1683465d702bbb4fcc4b0306899b18be6b6da0128eb
3
+ size 2671
vocab.txt ADDED
The diff for this file is too large to render. See raw diff