gokuls commited on
Commit
2e11768
1 Parent(s): 39923cf

End of training

Browse files
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  tags:
3
  - generated_from_trainer
4
  datasets:
@@ -12,7 +14,7 @@ model-index:
12
  name: Text Classification
13
  type: text-classification
14
  dataset:
15
- name: glue
16
  type: glue
17
  config: mnli
18
  split: validation_matched
@@ -20,7 +22,7 @@ model-index:
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
- value: 0.31818644931227713
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  # hBERTv1_mnli
30
 
31
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the glue dataset.
32
  It achieves the following results on the evaluation set:
33
- - Loss: 1.0983
34
- - Accuracy: 0.3182
35
 
36
  ## Model description
37
 
 
1
  ---
2
+ language:
3
+ - en
4
  tags:
5
  - generated_from_trainer
6
  datasets:
 
14
  name: Text Classification
15
  type: text-classification
16
  dataset:
17
+ name: GLUE MNLI
18
  type: glue
19
  config: mnli
20
  split: validation_matched
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.3522172497965826
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # hBERTv1_mnli
32
 
33
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1](https://huggingface.co/gokuls/bert_12_layer_model_v1) on the GLUE MNLI dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.0982
36
+ - Accuracy: 0.3522
37
 
38
  ## Model description
39
 
all_results.json ADDED
@@ -0,0 +1,21 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 18.0,
3
+ "epoch_mm": 18.0,
4
+ "eval_accuracy": 0.3544574630667346,
5
+ "eval_accuracy_mm": 0.3522172497965826,
6
+ "eval_loss": 1.098163366317749,
7
+ "eval_loss_mm": 1.0981905460357666,
8
+ "eval_runtime": 12.6046,
9
+ "eval_runtime_mm": 12.5657,
10
+ "eval_samples": 9815,
11
+ "eval_samples_mm": 9832,
12
+ "eval_samples_per_second": 778.686,
13
+ "eval_samples_per_second_mm": 782.447,
14
+ "eval_steps_per_second": 3.094,
15
+ "eval_steps_per_second_mm": 3.104,
16
+ "train_loss": 1.0994189529164742,
17
+ "train_runtime": 25959.7521,
18
+ "train_samples": 392702,
19
+ "train_samples_per_second": 756.367,
20
+ "train_steps_per_second": 2.955
21
+ }
eval_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 18.0,
3
+ "epoch_mm": 18.0,
4
+ "eval_accuracy": 0.3544574630667346,
5
+ "eval_accuracy_mm": 0.3522172497965826,
6
+ "eval_loss": 1.098163366317749,
7
+ "eval_loss_mm": 1.0981905460357666,
8
+ "eval_runtime": 12.6046,
9
+ "eval_runtime_mm": 12.5657,
10
+ "eval_samples": 9815,
11
+ "eval_samples_mm": 9832,
12
+ "eval_samples_per_second": 778.686,
13
+ "eval_samples_per_second_mm": 782.447,
14
+ "eval_steps_per_second": 3.094,
15
+ "eval_steps_per_second_mm": 3.104
16
+ }
logs/events.out.tfevents.1677782974.serv-9223.249682.26 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:c39512d49dbbd185467850846ba5a9e8ab955dac3a9daecef8eee6c0a7bfb525
3
+ size 698
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 18.0,
3
+ "train_loss": 1.0994189529164742,
4
+ "train_runtime": 25959.7521,
5
+ "train_samples": 392702,
6
+ "train_samples_per_second": 756.367,
7
+ "train_steps_per_second": 2.955
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,295 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 1.098163366317749,
3
+ "best_model_checkpoint": "hBERTv1_mnli/checkpoint-19942",
4
+ "epoch": 18.0,
5
+ "global_step": 27612,
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": 4.9e-05,
13
+ "loss": 1.1001,
14
+ "step": 1534
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.31818644931227713,
19
+ "eval_loss": 1.0993714332580566,
20
+ "eval_runtime": 12.6071,
21
+ "eval_samples_per_second": 778.528,
22
+ "eval_steps_per_second": 3.093,
23
+ "step": 1534
24
+ },
25
+ {
26
+ "epoch": 2.0,
27
+ "learning_rate": 4.8e-05,
28
+ "loss": 1.0988,
29
+ "step": 3068
30
+ },
31
+ {
32
+ "epoch": 2.0,
33
+ "eval_accuracy": 0.31818644931227713,
34
+ "eval_loss": 1.0989975929260254,
35
+ "eval_runtime": 12.5819,
36
+ "eval_samples_per_second": 780.088,
37
+ "eval_steps_per_second": 3.1,
38
+ "step": 3068
39
+ },
40
+ {
41
+ "epoch": 3.0,
42
+ "learning_rate": 4.7e-05,
43
+ "loss": 1.0987,
44
+ "step": 4602
45
+ },
46
+ {
47
+ "epoch": 3.0,
48
+ "eval_accuracy": 0.3273560876209883,
49
+ "eval_loss": 1.099189043045044,
50
+ "eval_runtime": 12.6822,
51
+ "eval_samples_per_second": 773.921,
52
+ "eval_steps_per_second": 3.075,
53
+ "step": 4602
54
+ },
55
+ {
56
+ "epoch": 4.0,
57
+ "learning_rate": 4.600000000000001e-05,
58
+ "loss": 1.0987,
59
+ "step": 6136
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "eval_accuracy": 0.3273560876209883,
64
+ "eval_loss": 1.0986238718032837,
65
+ "eval_runtime": 12.5133,
66
+ "eval_samples_per_second": 784.368,
67
+ "eval_steps_per_second": 3.117,
68
+ "step": 6136
69
+ },
70
+ {
71
+ "epoch": 5.0,
72
+ "learning_rate": 4.50006518904824e-05,
73
+ "loss": 1.0987,
74
+ "step": 7670
75
+ },
76
+ {
77
+ "epoch": 5.0,
78
+ "eval_accuracy": 0.3544574630667346,
79
+ "eval_loss": 1.0984646081924438,
80
+ "eval_runtime": 12.6008,
81
+ "eval_samples_per_second": 778.92,
82
+ "eval_steps_per_second": 3.095,
83
+ "step": 7670
84
+ },
85
+ {
86
+ "epoch": 6.0,
87
+ "learning_rate": 4.40013037809648e-05,
88
+ "loss": 1.0986,
89
+ "step": 9204
90
+ },
91
+ {
92
+ "epoch": 6.0,
93
+ "eval_accuracy": 0.3273560876209883,
94
+ "eval_loss": 1.0987476110458374,
95
+ "eval_runtime": 12.4519,
96
+ "eval_samples_per_second": 788.232,
97
+ "eval_steps_per_second": 3.132,
98
+ "step": 9204
99
+ },
100
+ {
101
+ "epoch": 7.0,
102
+ "learning_rate": 4.3003259452411996e-05,
103
+ "loss": 1.105,
104
+ "step": 10738
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_accuracy": 0.3273560876209883,
109
+ "eval_loss": 1.0986319780349731,
110
+ "eval_runtime": 12.6436,
111
+ "eval_samples_per_second": 776.285,
112
+ "eval_steps_per_second": 3.085,
113
+ "step": 10738
114
+ },
115
+ {
116
+ "epoch": 8.0,
117
+ "learning_rate": 4.2003259452412e-05,
118
+ "loss": 1.1045,
119
+ "step": 12272
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_accuracy": 0.31818644931227713,
124
+ "eval_loss": 1.0985896587371826,
125
+ "eval_runtime": 12.6272,
126
+ "eval_samples_per_second": 777.291,
127
+ "eval_steps_per_second": 3.089,
128
+ "step": 12272
129
+ },
130
+ {
131
+ "epoch": 9.0,
132
+ "learning_rate": 4.1003259452411995e-05,
133
+ "loss": 1.0988,
134
+ "step": 13806
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_accuracy": 0.3273560876209883,
139
+ "eval_loss": 1.0983130931854248,
140
+ "eval_runtime": 12.4879,
141
+ "eval_samples_per_second": 785.962,
142
+ "eval_steps_per_second": 3.123,
143
+ "step": 13806
144
+ },
145
+ {
146
+ "epoch": 10.0,
147
+ "learning_rate": 4.0003259452412e-05,
148
+ "loss": 1.0987,
149
+ "step": 15340
150
+ },
151
+ {
152
+ "epoch": 10.0,
153
+ "eval_accuracy": 0.31818644931227713,
154
+ "eval_loss": 1.098677158355713,
155
+ "eval_runtime": 12.4301,
156
+ "eval_samples_per_second": 789.616,
157
+ "eval_steps_per_second": 3.138,
158
+ "step": 15340
159
+ },
160
+ {
161
+ "epoch": 11.0,
162
+ "learning_rate": 3.9003259452411994e-05,
163
+ "loss": 1.0987,
164
+ "step": 16874
165
+ },
166
+ {
167
+ "epoch": 11.0,
168
+ "eval_accuracy": 0.31818644931227713,
169
+ "eval_loss": 1.0991103649139404,
170
+ "eval_runtime": 12.5586,
171
+ "eval_samples_per_second": 781.533,
172
+ "eval_steps_per_second": 3.105,
173
+ "step": 16874
174
+ },
175
+ {
176
+ "epoch": 12.0,
177
+ "learning_rate": 3.8003911342894394e-05,
178
+ "loss": 1.0986,
179
+ "step": 18408
180
+ },
181
+ {
182
+ "epoch": 12.0,
183
+ "eval_accuracy": 0.3544574630667346,
184
+ "eval_loss": 1.0986063480377197,
185
+ "eval_runtime": 12.5872,
186
+ "eval_samples_per_second": 779.762,
187
+ "eval_steps_per_second": 3.098,
188
+ "step": 18408
189
+ },
190
+ {
191
+ "epoch": 13.0,
192
+ "learning_rate": 3.700391134289439e-05,
193
+ "loss": 1.0986,
194
+ "step": 19942
195
+ },
196
+ {
197
+ "epoch": 13.0,
198
+ "eval_accuracy": 0.3544574630667346,
199
+ "eval_loss": 1.098163366317749,
200
+ "eval_runtime": 12.4723,
201
+ "eval_samples_per_second": 786.944,
202
+ "eval_steps_per_second": 3.127,
203
+ "step": 19942
204
+ },
205
+ {
206
+ "epoch": 14.0,
207
+ "learning_rate": 3.600456323337679e-05,
208
+ "loss": 1.0986,
209
+ "step": 21476
210
+ },
211
+ {
212
+ "epoch": 14.0,
213
+ "eval_accuracy": 0.3544574630667346,
214
+ "eval_loss": 1.0988693237304688,
215
+ "eval_runtime": 12.5684,
216
+ "eval_samples_per_second": 780.924,
217
+ "eval_steps_per_second": 3.103,
218
+ "step": 21476
219
+ },
220
+ {
221
+ "epoch": 15.0,
222
+ "learning_rate": 3.500521512385919e-05,
223
+ "loss": 1.0986,
224
+ "step": 23010
225
+ },
226
+ {
227
+ "epoch": 15.0,
228
+ "eval_accuracy": 0.31818644931227713,
229
+ "eval_loss": 1.098739504814148,
230
+ "eval_runtime": 12.6125,
231
+ "eval_samples_per_second": 778.196,
232
+ "eval_steps_per_second": 3.092,
233
+ "step": 23010
234
+ },
235
+ {
236
+ "epoch": 16.0,
237
+ "learning_rate": 3.4005215123859194e-05,
238
+ "loss": 1.0986,
239
+ "step": 24544
240
+ },
241
+ {
242
+ "epoch": 16.0,
243
+ "eval_accuracy": 0.3544574630667346,
244
+ "eval_loss": 1.0985974073410034,
245
+ "eval_runtime": 12.4698,
246
+ "eval_samples_per_second": 787.103,
247
+ "eval_steps_per_second": 3.128,
248
+ "step": 24544
249
+ },
250
+ {
251
+ "epoch": 17.0,
252
+ "learning_rate": 3.300586701434159e-05,
253
+ "loss": 1.0986,
254
+ "step": 26078
255
+ },
256
+ {
257
+ "epoch": 17.0,
258
+ "eval_accuracy": 0.3544574630667346,
259
+ "eval_loss": 1.098615288734436,
260
+ "eval_runtime": 12.5264,
261
+ "eval_samples_per_second": 783.545,
262
+ "eval_steps_per_second": 3.113,
263
+ "step": 26078
264
+ },
265
+ {
266
+ "epoch": 18.0,
267
+ "learning_rate": 3.200586701434159e-05,
268
+ "loss": 1.0986,
269
+ "step": 27612
270
+ },
271
+ {
272
+ "epoch": 18.0,
273
+ "eval_accuracy": 0.31818644931227713,
274
+ "eval_loss": 1.0982955694198608,
275
+ "eval_runtime": 12.8565,
276
+ "eval_samples_per_second": 763.425,
277
+ "eval_steps_per_second": 3.033,
278
+ "step": 27612
279
+ },
280
+ {
281
+ "epoch": 18.0,
282
+ "step": 27612,
283
+ "total_flos": 8.928550500811407e+17,
284
+ "train_loss": 1.0994189529164742,
285
+ "train_runtime": 25959.7521,
286
+ "train_samples_per_second": 756.367,
287
+ "train_steps_per_second": 2.955
288
+ }
289
+ ],
290
+ "max_steps": 76700,
291
+ "num_train_epochs": 50,
292
+ "total_flos": 8.928550500811407e+17,
293
+ "trial_name": null,
294
+ "trial_params": null
295
+ }