gokuls commited on
Commit
7dd7789
·
1 Parent(s): 617326e

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: mrpc
19
  split: validation
@@ -32,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  # hBERTv1_new_pretrain_mrpc
34
 
35
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new) on the glue dataset.
36
  It achieves the following results on the evaluation set:
37
- - Loss: 16.9510
38
  - Accuracy: 0.6838
39
  - F1: 0.8122
40
  - Combined Score: 0.7480
 
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 MRPC
19
  type: glue
20
  config: mrpc
21
  split: validation
 
34
 
35
  # hBERTv1_new_pretrain_mrpc
36
 
37
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new) on the GLUE MRPC dataset.
38
  It achieves the following results on the evaluation set:
39
+ - Loss: 16.9467
40
  - Accuracy: 0.6838
41
  - F1: 0.8122
42
  - Combined Score: 0.7480
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 13.0,
3
+ "eval_accuracy": 0.6838235294117647,
4
+ "eval_combined_score": 0.7480253018237863,
5
+ "eval_f1": 0.8122270742358079,
6
+ "eval_loss": 16.946691513061523,
7
+ "eval_runtime": 0.7508,
8
+ "eval_samples": 408,
9
+ "eval_samples_per_second": 543.443,
10
+ "eval_steps_per_second": 5.328,
11
+ "train_loss": 18.96294307961704,
12
+ "train_runtime": 317.3548,
13
+ "train_samples": 3668,
14
+ "train_samples_per_second": 577.902,
15
+ "train_steps_per_second": 4.569
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 13.0,
3
+ "eval_accuracy": 0.6838235294117647,
4
+ "eval_combined_score": 0.7480253018237863,
5
+ "eval_f1": 0.8122270742358079,
6
+ "eval_loss": 16.946691513061523,
7
+ "eval_runtime": 0.7508,
8
+ "eval_samples": 408,
9
+ "eval_samples_per_second": 543.443,
10
+ "eval_steps_per_second": 5.328
11
+ }
logs/events.out.tfevents.1685531384.serv-3318.2597307.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:ced4a2a729bc434e2be32f842e0a96ce51c194e15857ec8745b07c2714d7da9d
3
+ size 467
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 13.0,
3
+ "train_loss": 18.96294307961704,
4
+ "train_runtime": 317.3548,
5
+ "train_samples": 3668,
6
+ "train_samples_per_second": 577.902,
7
+ "train_steps_per_second": 4.569
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,246 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 16.946691513061523,
3
+ "best_model_checkpoint": "hBERTv1_new_pretrain_mrpc/checkpoint-232",
4
+ "epoch": 13.0,
5
+ "global_step": 377,
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": 0.00049,
13
+ "loss": 19.6767,
14
+ "step": 29
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.6838235294117647,
19
+ "eval_combined_score": 0.7480253018237863,
20
+ "eval_f1": 0.8122270742358079,
21
+ "eval_loss": 16.958946228027344,
22
+ "eval_runtime": 0.7573,
23
+ "eval_samples_per_second": 538.74,
24
+ "eval_steps_per_second": 5.282,
25
+ "step": 29
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "learning_rate": 0.00048,
30
+ "loss": 19.3493,
31
+ "step": 58
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_accuracy": 0.6838235294117647,
36
+ "eval_combined_score": 0.7480253018237863,
37
+ "eval_f1": 0.8122270742358079,
38
+ "eval_loss": 16.958946228027344,
39
+ "eval_runtime": 0.7497,
40
+ "eval_samples_per_second": 544.244,
41
+ "eval_steps_per_second": 5.336,
42
+ "step": 58
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "learning_rate": 0.00047,
47
+ "loss": 19.2027,
48
+ "step": 87
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_accuracy": 0.6838235294117647,
53
+ "eval_combined_score": 0.7480253018237863,
54
+ "eval_f1": 0.8122270742358079,
55
+ "eval_loss": 16.960784912109375,
56
+ "eval_runtime": 0.751,
57
+ "eval_samples_per_second": 543.309,
58
+ "eval_steps_per_second": 5.327,
59
+ "step": 87
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "learning_rate": 0.00046,
64
+ "loss": 18.331,
65
+ "step": 116
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_accuracy": 0.6838235294117647,
70
+ "eval_combined_score": 0.7480253018237863,
71
+ "eval_f1": 0.8122270742358079,
72
+ "eval_loss": 16.952205657958984,
73
+ "eval_runtime": 0.7511,
74
+ "eval_samples_per_second": 543.213,
75
+ "eval_steps_per_second": 5.326,
76
+ "step": 116
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "learning_rate": 0.00045000000000000004,
81
+ "loss": 18.7621,
82
+ "step": 145
83
+ },
84
+ {
85
+ "epoch": 5.0,
86
+ "eval_accuracy": 0.6838235294117647,
87
+ "eval_combined_score": 0.7480253018237863,
88
+ "eval_f1": 0.8122270742358079,
89
+ "eval_loss": 16.96017074584961,
90
+ "eval_runtime": 0.7546,
91
+ "eval_samples_per_second": 540.675,
92
+ "eval_steps_per_second": 5.301,
93
+ "step": 145
94
+ },
95
+ {
96
+ "epoch": 6.0,
97
+ "learning_rate": 0.00044,
98
+ "loss": 18.947,
99
+ "step": 174
100
+ },
101
+ {
102
+ "epoch": 6.0,
103
+ "eval_accuracy": 0.6838235294117647,
104
+ "eval_combined_score": 0.7480253018237863,
105
+ "eval_f1": 0.8122270742358079,
106
+ "eval_loss": 16.95649528503418,
107
+ "eval_runtime": 0.7509,
108
+ "eval_samples_per_second": 543.351,
109
+ "eval_steps_per_second": 5.327,
110
+ "step": 174
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "learning_rate": 0.00043,
115
+ "loss": 18.9881,
116
+ "step": 203
117
+ },
118
+ {
119
+ "epoch": 7.0,
120
+ "eval_accuracy": 0.6838235294117647,
121
+ "eval_combined_score": 0.7480253018237863,
122
+ "eval_f1": 0.8122270742358079,
123
+ "eval_loss": 16.957107543945312,
124
+ "eval_runtime": 0.7504,
125
+ "eval_samples_per_second": 543.682,
126
+ "eval_steps_per_second": 5.33,
127
+ "step": 203
128
+ },
129
+ {
130
+ "epoch": 8.0,
131
+ "learning_rate": 0.00042,
132
+ "loss": 19.398,
133
+ "step": 232
134
+ },
135
+ {
136
+ "epoch": 8.0,
137
+ "eval_accuracy": 0.6838235294117647,
138
+ "eval_combined_score": 0.7480253018237863,
139
+ "eval_f1": 0.8122270742358079,
140
+ "eval_loss": 16.946691513061523,
141
+ "eval_runtime": 0.7513,
142
+ "eval_samples_per_second": 543.058,
143
+ "eval_steps_per_second": 5.324,
144
+ "step": 232
145
+ },
146
+ {
147
+ "epoch": 9.0,
148
+ "learning_rate": 0.00041,
149
+ "loss": 18.4123,
150
+ "step": 261
151
+ },
152
+ {
153
+ "epoch": 9.0,
154
+ "eval_accuracy": 0.6838235294117647,
155
+ "eval_combined_score": 0.7480253018237863,
156
+ "eval_f1": 0.8122270742358079,
157
+ "eval_loss": 16.950366973876953,
158
+ "eval_runtime": 0.7508,
159
+ "eval_samples_per_second": 543.454,
160
+ "eval_steps_per_second": 5.328,
161
+ "step": 261
162
+ },
163
+ {
164
+ "epoch": 10.0,
165
+ "learning_rate": 0.0004,
166
+ "loss": 18.3449,
167
+ "step": 290
168
+ },
169
+ {
170
+ "epoch": 10.0,
171
+ "eval_accuracy": 0.6838235294117647,
172
+ "eval_combined_score": 0.7480253018237863,
173
+ "eval_f1": 0.8122270742358079,
174
+ "eval_loss": 16.953432083129883,
175
+ "eval_runtime": 0.7521,
176
+ "eval_samples_per_second": 542.492,
177
+ "eval_steps_per_second": 5.319,
178
+ "step": 290
179
+ },
180
+ {
181
+ "epoch": 11.0,
182
+ "learning_rate": 0.00039000000000000005,
183
+ "loss": 18.9622,
184
+ "step": 319
185
+ },
186
+ {
187
+ "epoch": 11.0,
188
+ "eval_accuracy": 0.6838235294117647,
189
+ "eval_combined_score": 0.7480253018237863,
190
+ "eval_f1": 0.8122270742358079,
191
+ "eval_loss": 16.95159339904785,
192
+ "eval_runtime": 0.7537,
193
+ "eval_samples_per_second": 541.334,
194
+ "eval_steps_per_second": 5.307,
195
+ "step": 319
196
+ },
197
+ {
198
+ "epoch": 12.0,
199
+ "learning_rate": 0.00038,
200
+ "loss": 19.1266,
201
+ "step": 348
202
+ },
203
+ {
204
+ "epoch": 12.0,
205
+ "eval_accuracy": 0.6838235294117647,
206
+ "eval_combined_score": 0.7480253018237863,
207
+ "eval_f1": 0.8122270742358079,
208
+ "eval_loss": 16.95159339904785,
209
+ "eval_runtime": 0.7515,
210
+ "eval_samples_per_second": 542.931,
211
+ "eval_steps_per_second": 5.323,
212
+ "step": 348
213
+ },
214
+ {
215
+ "epoch": 13.0,
216
+ "learning_rate": 0.00037,
217
+ "loss": 19.0174,
218
+ "step": 377
219
+ },
220
+ {
221
+ "epoch": 13.0,
222
+ "eval_accuracy": 0.6838235294117647,
223
+ "eval_combined_score": 0.7480253018237863,
224
+ "eval_f1": 0.8122270742358079,
225
+ "eval_loss": 16.95098114013672,
226
+ "eval_runtime": 0.7516,
227
+ "eval_samples_per_second": 542.838,
228
+ "eval_steps_per_second": 5.322,
229
+ "step": 377
230
+ },
231
+ {
232
+ "epoch": 13.0,
233
+ "step": 377,
234
+ "total_flos": 7061846666248192.0,
235
+ "train_loss": 18.96294307961704,
236
+ "train_runtime": 317.3548,
237
+ "train_samples_per_second": 577.902,
238
+ "train_steps_per_second": 4.569
239
+ }
240
+ ],
241
+ "max_steps": 1450,
242
+ "num_train_epochs": 50,
243
+ "total_flos": 7061846666248192.0,
244
+ "trial_name": null,
245
+ "trial_params": null
246
+ }