gokuls commited on
Commit
a71b8c3
1 Parent(s): 8485bc0

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  tags:
3
  - generated_from_trainer
4
  datasets:
@@ -13,7 +15,7 @@ model-index:
13
  name: Text Classification
14
  type: text-classification
15
  dataset:
16
- name: glue
17
  type: glue
18
  config: cola
19
  split: validation
@@ -32,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  # hBERTv2_new_pretrain_48_emb_com_cola
34
 
35
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48) on the glue dataset.
36
  It achieves the following results on the evaluation set:
37
- - Loss: 0.6183
38
  - Matthews Correlation: 0.0
39
  - Accuracy: 0.6913
40
 
 
1
  ---
2
+ language:
3
+ - en
4
  tags:
5
  - generated_from_trainer
6
  datasets:
 
15
  name: Text Classification
16
  type: text-classification
17
  dataset:
18
+ name: GLUE COLA
19
  type: glue
20
  config: cola
21
  split: validation
 
34
 
35
  # hBERTv2_new_pretrain_48_emb_com_cola
36
 
37
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_emb_compress_48) on the GLUE COLA dataset.
38
  It achieves the following results on the evaluation set:
39
+ - Loss: 0.6181
40
  - Matthews Correlation: 0.0
41
  - Accuracy: 0.6913
42
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 11.0,
3
+ "eval_accuracy": 0.6912751793861389,
4
+ "eval_loss": 0.6180804967880249,
5
+ "eval_matthews_correlation": 0.0,
6
+ "eval_runtime": 4.5305,
7
+ "eval_samples": 1043,
8
+ "eval_samples_per_second": 230.218,
9
+ "eval_steps_per_second": 1.987,
10
+ "train_loss": 0.6143423155496046,
11
+ "train_runtime": 1424.3505,
12
+ "train_samples": 8551,
13
+ "train_samples_per_second": 300.172,
14
+ "train_steps_per_second": 2.352
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 11.0,
3
+ "eval_accuracy": 0.6912751793861389,
4
+ "eval_loss": 0.6180804967880249,
5
+ "eval_matthews_correlation": 0.0,
6
+ "eval_runtime": 4.5305,
7
+ "eval_samples": 1043,
8
+ "eval_samples_per_second": 230.218,
9
+ "eval_steps_per_second": 1.987
10
+ }
logs/events.out.tfevents.1686759040.glendale.42326.3 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:3bebf7e80ef5adfa7a7e949890121458d90ab5347d2202646143278aebfbf4b1
3
+ size 427
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 11.0,
3
+ "train_loss": 0.6143423155496046,
4
+ "train_runtime": 1424.3505,
5
+ "train_samples": 8551,
6
+ "train_samples_per_second": 300.172,
7
+ "train_steps_per_second": 2.352
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,201 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6180804967880249,
3
+ "best_model_checkpoint": "hBERTv2_new_pretrain_48_emb_com_cola/checkpoint-402",
4
+ "epoch": 11.0,
5
+ "global_step": 737,
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": 3.9200000000000004e-05,
13
+ "loss": 0.6308,
14
+ "step": 67
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.6912751793861389,
19
+ "eval_loss": 0.6420325636863708,
20
+ "eval_matthews_correlation": 0.0,
21
+ "eval_runtime": 4.6088,
22
+ "eval_samples_per_second": 226.308,
23
+ "eval_steps_per_second": 1.953,
24
+ "step": 67
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "learning_rate": 3.8400000000000005e-05,
29
+ "loss": 0.6219,
30
+ "step": 134
31
+ },
32
+ {
33
+ "epoch": 2.0,
34
+ "eval_accuracy": 0.6912751793861389,
35
+ "eval_loss": 0.6212252974510193,
36
+ "eval_matthews_correlation": 0.0,
37
+ "eval_runtime": 4.6128,
38
+ "eval_samples_per_second": 226.11,
39
+ "eval_steps_per_second": 1.951,
40
+ "step": 134
41
+ },
42
+ {
43
+ "epoch": 3.0,
44
+ "learning_rate": 3.76e-05,
45
+ "loss": 0.6122,
46
+ "step": 201
47
+ },
48
+ {
49
+ "epoch": 3.0,
50
+ "eval_accuracy": 0.6912751793861389,
51
+ "eval_loss": 0.6236904263496399,
52
+ "eval_matthews_correlation": 0.0,
53
+ "eval_runtime": 4.5967,
54
+ "eval_samples_per_second": 226.9,
55
+ "eval_steps_per_second": 1.958,
56
+ "step": 201
57
+ },
58
+ {
59
+ "epoch": 4.0,
60
+ "learning_rate": 3.680000000000001e-05,
61
+ "loss": 0.6165,
62
+ "step": 268
63
+ },
64
+ {
65
+ "epoch": 4.0,
66
+ "eval_accuracy": 0.6912751793861389,
67
+ "eval_loss": 0.6197761297225952,
68
+ "eval_matthews_correlation": 0.0,
69
+ "eval_runtime": 4.5903,
70
+ "eval_samples_per_second": 227.218,
71
+ "eval_steps_per_second": 1.961,
72
+ "step": 268
73
+ },
74
+ {
75
+ "epoch": 5.0,
76
+ "learning_rate": 3.6e-05,
77
+ "loss": 0.6133,
78
+ "step": 335
79
+ },
80
+ {
81
+ "epoch": 5.0,
82
+ "eval_accuracy": 0.6912751793861389,
83
+ "eval_loss": 0.6235945224761963,
84
+ "eval_matthews_correlation": 0.0,
85
+ "eval_runtime": 4.5701,
86
+ "eval_samples_per_second": 228.224,
87
+ "eval_steps_per_second": 1.969,
88
+ "step": 335
89
+ },
90
+ {
91
+ "epoch": 6.0,
92
+ "learning_rate": 3.52e-05,
93
+ "loss": 0.6105,
94
+ "step": 402
95
+ },
96
+ {
97
+ "epoch": 6.0,
98
+ "eval_accuracy": 0.6912751793861389,
99
+ "eval_loss": 0.6180804967880249,
100
+ "eval_matthews_correlation": 0.0,
101
+ "eval_runtime": 4.5756,
102
+ "eval_samples_per_second": 227.95,
103
+ "eval_steps_per_second": 1.967,
104
+ "step": 402
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "learning_rate": 3.44e-05,
109
+ "loss": 0.6132,
110
+ "step": 469
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "eval_accuracy": 0.6912751793861389,
115
+ "eval_loss": 0.6288493871688843,
116
+ "eval_matthews_correlation": 0.0,
117
+ "eval_runtime": 4.5675,
118
+ "eval_samples_per_second": 228.353,
119
+ "eval_steps_per_second": 1.97,
120
+ "step": 469
121
+ },
122
+ {
123
+ "epoch": 8.0,
124
+ "learning_rate": 3.3600000000000004e-05,
125
+ "loss": 0.61,
126
+ "step": 536
127
+ },
128
+ {
129
+ "epoch": 8.0,
130
+ "eval_accuracy": 0.6912751793861389,
131
+ "eval_loss": 0.6188379526138306,
132
+ "eval_matthews_correlation": 0.0,
133
+ "eval_runtime": 4.5668,
134
+ "eval_samples_per_second": 228.386,
135
+ "eval_steps_per_second": 1.971,
136
+ "step": 536
137
+ },
138
+ {
139
+ "epoch": 9.0,
140
+ "learning_rate": 3.28e-05,
141
+ "loss": 0.6103,
142
+ "step": 603
143
+ },
144
+ {
145
+ "epoch": 9.0,
146
+ "eval_accuracy": 0.6912751793861389,
147
+ "eval_loss": 0.6251513361930847,
148
+ "eval_matthews_correlation": 0.0,
149
+ "eval_runtime": 4.5779,
150
+ "eval_samples_per_second": 227.836,
151
+ "eval_steps_per_second": 1.966,
152
+ "step": 603
153
+ },
154
+ {
155
+ "epoch": 10.0,
156
+ "learning_rate": 3.2000000000000005e-05,
157
+ "loss": 0.6099,
158
+ "step": 670
159
+ },
160
+ {
161
+ "epoch": 10.0,
162
+ "eval_accuracy": 0.6912751793861389,
163
+ "eval_loss": 0.6301288604736328,
164
+ "eval_matthews_correlation": 0.0,
165
+ "eval_runtime": 4.5868,
166
+ "eval_samples_per_second": 227.389,
167
+ "eval_steps_per_second": 1.962,
168
+ "step": 670
169
+ },
170
+ {
171
+ "epoch": 11.0,
172
+ "learning_rate": 3.1200000000000006e-05,
173
+ "loss": 0.6091,
174
+ "step": 737
175
+ },
176
+ {
177
+ "epoch": 11.0,
178
+ "eval_accuracy": 0.6912751793861389,
179
+ "eval_loss": 0.6183443069458008,
180
+ "eval_matthews_correlation": 0.0,
181
+ "eval_runtime": 4.6086,
182
+ "eval_samples_per_second": 226.317,
183
+ "eval_steps_per_second": 1.953,
184
+ "step": 737
185
+ },
186
+ {
187
+ "epoch": 11.0,
188
+ "step": 737,
189
+ "total_flos": 1.3778937716932608e+16,
190
+ "train_loss": 0.6143423155496046,
191
+ "train_runtime": 1424.3505,
192
+ "train_samples_per_second": 300.172,
193
+ "train_steps_per_second": 2.352
194
+ }
195
+ ],
196
+ "max_steps": 3350,
197
+ "num_train_epochs": 50,
198
+ "total_flos": 1.3778937716932608e+16,
199
+ "trial_name": null,
200
+ "trial_params": null
201
+ }