EhsanAghazadeh commited on
Commit
ed71b50
1 Parent(s): 0708af5

Add model and its dependencies

Browse files
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.930045871559633,
4
+ "eval_loss": 0.30590787529945374,
5
+ "eval_runtime": 2.2286,
6
+ "eval_samples": 872,
7
+ "eval_samples_per_second": 391.276,
8
+ "eval_steps_per_second": 48.91,
9
+ "train_loss": 0.06527320399703436,
10
+ "train_runtime": 4410.9322,
11
+ "train_samples": 67349,
12
+ "train_samples_per_second": 152.687,
13
+ "train_steps_per_second": 4.772
14
+ }
config.json ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "_name_or_path": "bert-base-uncased",
3
+ "architectures": [
4
+ "BertForSequenceClassification"
5
+ ],
6
+ "attention_probs_dropout_prob": 0.1,
7
+ "finetuning_task": "sst2",
8
+ "gradient_checkpointing": false,
9
+ "hidden_act": "gelu",
10
+ "hidden_dropout_prob": 0.1,
11
+ "hidden_size": 768,
12
+ "initializer_range": 0.02,
13
+ "intermediate_size": 3072,
14
+ "layer_norm_eps": 1e-12,
15
+ "max_position_embeddings": 512,
16
+ "model_type": "bert",
17
+ "num_attention_heads": 12,
18
+ "num_hidden_layers": 12,
19
+ "pad_token_id": 0,
20
+ "position_embedding_type": "absolute",
21
+ "problem_type": "single_label_classification",
22
+ "transformers_version": "4.9.0.dev0",
23
+ "type_vocab_size": 2,
24
+ "use_cache": true,
25
+ "vocab_size": 30522
26
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "eval_accuracy": 0.930045871559633,
4
+ "eval_loss": 0.30590787529945374,
5
+ "eval_runtime": 2.2286,
6
+ "eval_samples": 872,
7
+ "eval_samples_per_second": 391.276,
8
+ "eval_steps_per_second": 48.91
9
+ }
pytorch_model.bin ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3723e72a74f61353beef96d7978985e3dc61aed719739a214b0e3837da761a52
3
+ size 438019245
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": "bert-base-uncased", "tokenizer_class": "BertTokenizer"}
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 10.0,
3
+ "train_loss": 0.06527320399703436,
4
+ "train_runtime": 4410.9322,
5
+ "train_samples": 67349,
6
+ "train_samples_per_second": 152.687,
7
+ "train_steps_per_second": 4.772
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,175 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.930045871559633,
3
+ "best_model_checkpoint": "./electra-base-discriminator/fine_tuned_models/checkpoint-10525",
4
+ "epoch": 10.0,
5
+ "global_step": 21050,
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": 1.8398562688161604e-05,
13
+ "loss": 0.2442,
14
+ "step": 2105
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.9277522935779816,
19
+ "eval_loss": 0.2364984154701233,
20
+ "eval_runtime": 2.1955,
21
+ "eval_samples_per_second": 397.168,
22
+ "eval_steps_per_second": 49.646,
23
+ "step": 2105
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "learning_rate": 1.6354277945032536e-05,
28
+ "loss": 0.1202,
29
+ "step": 4210
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.9254587155963303,
34
+ "eval_loss": 0.25499287247657776,
35
+ "eval_runtime": 2.1936,
36
+ "eval_samples_per_second": 397.523,
37
+ "eval_steps_per_second": 49.69,
38
+ "step": 4210
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "learning_rate": 1.4309993201903469e-05,
43
+ "loss": 0.0847,
44
+ "step": 6315
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.926605504587156,
49
+ "eval_loss": 0.25377511978149414,
50
+ "eval_runtime": 2.192,
51
+ "eval_samples_per_second": 397.808,
52
+ "eval_steps_per_second": 49.726,
53
+ "step": 6315
54
+ },
55
+ {
56
+ "epoch": 4.0,
57
+ "learning_rate": 1.2265708458774402e-05,
58
+ "loss": 0.0645,
59
+ "step": 8420
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.9220183486238532,
64
+ "eval_loss": 0.3068634867668152,
65
+ "eval_runtime": 2.1868,
66
+ "eval_samples_per_second": 398.761,
67
+ "eval_steps_per_second": 49.845,
68
+ "step": 8420
69
+ },
70
+ {
71
+ "epoch": 5.0,
72
+ "learning_rate": 1.0221423715645335e-05,
73
+ "loss": 0.046,
74
+ "step": 10525
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.930045871559633,
79
+ "eval_loss": 0.30590787529945374,
80
+ "eval_runtime": 2.1975,
81
+ "eval_samples_per_second": 396.806,
82
+ "eval_steps_per_second": 49.601,
83
+ "step": 10525
84
+ },
85
+ {
86
+ "epoch": 6.0,
87
+ "learning_rate": 8.177138972516268e-06,
88
+ "loss": 0.0325,
89
+ "step": 12630
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_accuracy": 0.9231651376146789,
94
+ "eval_loss": 0.36431288719177246,
95
+ "eval_runtime": 2.202,
96
+ "eval_samples_per_second": 396.006,
97
+ "eval_steps_per_second": 49.501,
98
+ "step": 12630
99
+ },
100
+ {
101
+ "epoch": 7.0,
102
+ "learning_rate": 6.132854229387201e-06,
103
+ "loss": 0.024,
104
+ "step": 14735
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_accuracy": 0.9208715596330275,
109
+ "eval_loss": 0.42286497354507446,
110
+ "eval_runtime": 2.2039,
111
+ "eval_samples_per_second": 395.666,
112
+ "eval_steps_per_second": 49.458,
113
+ "step": 14735
114
+ },
115
+ {
116
+ "epoch": 8.0,
117
+ "learning_rate": 4.088569486258134e-06,
118
+ "loss": 0.0176,
119
+ "step": 16840
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_accuracy": 0.926605504587156,
124
+ "eval_loss": 0.45770832896232605,
125
+ "eval_runtime": 2.22,
126
+ "eval_samples_per_second": 392.794,
127
+ "eval_steps_per_second": 49.099,
128
+ "step": 16840
129
+ },
130
+ {
131
+ "epoch": 9.0,
132
+ "learning_rate": 2.044284743129067e-06,
133
+ "loss": 0.0111,
134
+ "step": 18945
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_accuracy": 0.9254587155963303,
139
+ "eval_loss": 0.5075973868370056,
140
+ "eval_runtime": 2.1989,
141
+ "eval_samples_per_second": 396.566,
142
+ "eval_steps_per_second": 49.571,
143
+ "step": 18945
144
+ },
145
+ {
146
+ "epoch": 10.0,
147
+ "learning_rate": 0.0,
148
+ "loss": 0.0079,
149
+ "step": 21050
150
+ },
151
+ {
152
+ "epoch": 10.0,
153
+ "eval_accuracy": 0.9208715596330275,
154
+ "eval_loss": 0.585883378982544,
155
+ "eval_runtime": 2.2147,
156
+ "eval_samples_per_second": 393.74,
157
+ "eval_steps_per_second": 49.217,
158
+ "step": 21050
159
+ },
160
+ {
161
+ "epoch": 10.0,
162
+ "step": 21050,
163
+ "total_flos": 2.831471218376448e+16,
164
+ "train_loss": 0.06527320399703436,
165
+ "train_runtime": 4410.9322,
166
+ "train_samples_per_second": 152.687,
167
+ "train_steps_per_second": 4.772
168
+ }
169
+ ],
170
+ "max_steps": 21050,
171
+ "num_train_epochs": 10,
172
+ "total_flos": 2.831471218376448e+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 sha256:68ec3dc331f9da6eac3531fbf19fa3ac5df35948fcfcb4dfdc9477a8b284fa92
3
+ size 2671
vocab.txt ADDED
The diff for this file is too large to render. See raw diff