gokuls commited on
Commit
f9f9fce
1 Parent(s): fb0847a

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: stsb
18
  split: validation
@@ -20,7 +22,7 @@ model-index:
20
  metrics:
21
  - name: Spearmanr
22
  type: spearmanr
23
- value: 0.3868434767975089
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  # hBERTv2_new_pretrain_48_stsb
30
 
31
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_48) on the glue dataset.
32
  It achieves the following results on the evaluation set:
33
- - Loss: 2.3369
34
- - Pearson: 0.4033
35
- - Spearmanr: 0.3868
36
- - Combined Score: 0.3951
37
 
38
  ## Model description
39
 
 
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 STSB
18
  type: glue
19
  config: stsb
20
  split: validation
 
22
  metrics:
23
  - name: Spearmanr
24
  type: spearmanr
25
+ value: 0.4028161409951644
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # hBERTv2_new_pretrain_48_stsb
32
 
33
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_48](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_48) on the GLUE STSB dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 2.0734
36
+ - Pearson: 0.4184
37
+ - Spearmanr: 0.4028
38
+ - Combined Score: 0.4106
39
 
40
  ## Model description
41
 
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.0,
3
+ "eval_combined_score": 0.4106013077457039,
4
+ "eval_loss": 2.0734338760375977,
5
+ "eval_pearson": 0.41838647449624344,
6
+ "eval_runtime": 2.4898,
7
+ "eval_samples": 1500,
8
+ "eval_samples_per_second": 602.446,
9
+ "eval_spearmanr": 0.4028161409951644,
10
+ "eval_steps_per_second": 4.82,
11
+ "train_loss": 0.7103834141067594,
12
+ "train_runtime": 695.8903,
13
+ "train_samples": 5749,
14
+ "train_samples_per_second": 413.068,
15
+ "train_steps_per_second": 3.233
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.0,
3
+ "eval_combined_score": 0.4106013077457039,
4
+ "eval_loss": 2.0734338760375977,
5
+ "eval_pearson": 0.41838647449624344,
6
+ "eval_runtime": 2.4898,
7
+ "eval_samples": 1500,
8
+ "eval_samples_per_second": 602.446,
9
+ "eval_spearmanr": 0.4028161409951644,
10
+ "eval_steps_per_second": 4.82
11
+ }
logs/events.out.tfevents.1686054958.serv-9207.2387813.20 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:343e7eadab812a93698ed9da0af2063b852af394738b084d0fd5c8b535e55a22
3
+ size 473
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 19.0,
3
+ "train_loss": 0.7103834141067594,
4
+ "train_runtime": 695.8903,
5
+ "train_samples": 5749,
6
+ "train_samples_per_second": 413.068,
7
+ "train_steps_per_second": 3.233
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,348 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 2.0734338760375977,
3
+ "best_model_checkpoint": "hBERTv2_new_pretrain_48_stsb/checkpoint-630",
4
+ "epoch": 19.0,
5
+ "global_step": 855,
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": 2.2864,
14
+ "step": 45
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_combined_score": 0.12204607317221586,
19
+ "eval_loss": 3.015711545944214,
20
+ "eval_pearson": 0.12695010020402245,
21
+ "eval_runtime": 2.4906,
22
+ "eval_samples_per_second": 602.273,
23
+ "eval_spearmanr": 0.11714204614040925,
24
+ "eval_steps_per_second": 4.818,
25
+ "step": 45
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "learning_rate": 3.8400000000000005e-05,
30
+ "loss": 1.9895,
31
+ "step": 90
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_combined_score": 0.15516534362604684,
36
+ "eval_loss": 2.7269980907440186,
37
+ "eval_pearson": 0.15532406574343285,
38
+ "eval_runtime": 2.4713,
39
+ "eval_samples_per_second": 606.959,
40
+ "eval_spearmanr": 0.15500662150866085,
41
+ "eval_steps_per_second": 4.856,
42
+ "step": 90
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "learning_rate": 3.76e-05,
47
+ "loss": 1.7101,
48
+ "step": 135
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_combined_score": 0.2731764320376846,
53
+ "eval_loss": 2.82230281829834,
54
+ "eval_pearson": 0.2806107701126286,
55
+ "eval_runtime": 2.4777,
56
+ "eval_samples_per_second": 605.408,
57
+ "eval_spearmanr": 0.2657420939627406,
58
+ "eval_steps_per_second": 4.843,
59
+ "step": 135
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "learning_rate": 3.680000000000001e-05,
64
+ "loss": 1.2973,
65
+ "step": 180
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_combined_score": 0.3327597028880893,
70
+ "eval_loss": 2.5938479900360107,
71
+ "eval_pearson": 0.3375229154560037,
72
+ "eval_runtime": 2.4919,
73
+ "eval_samples_per_second": 601.946,
74
+ "eval_spearmanr": 0.32799649032017486,
75
+ "eval_steps_per_second": 4.816,
76
+ "step": 180
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "learning_rate": 3.6e-05,
81
+ "loss": 1.0658,
82
+ "step": 225
83
+ },
84
+ {
85
+ "epoch": 5.0,
86
+ "eval_combined_score": 0.3700023404239433,
87
+ "eval_loss": 2.3834636211395264,
88
+ "eval_pearson": 0.377092889033301,
89
+ "eval_runtime": 2.5195,
90
+ "eval_samples_per_second": 595.344,
91
+ "eval_spearmanr": 0.36291179181458566,
92
+ "eval_steps_per_second": 4.763,
93
+ "step": 225
94
+ },
95
+ {
96
+ "epoch": 6.0,
97
+ "learning_rate": 3.52e-05,
98
+ "loss": 0.8454,
99
+ "step": 270
100
+ },
101
+ {
102
+ "epoch": 6.0,
103
+ "eval_combined_score": 0.355781439962202,
104
+ "eval_loss": 2.5028064250946045,
105
+ "eval_pearson": 0.363688137161137,
106
+ "eval_runtime": 2.4788,
107
+ "eval_samples_per_second": 605.121,
108
+ "eval_spearmanr": 0.34787474276326696,
109
+ "eval_steps_per_second": 4.841,
110
+ "step": 270
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "learning_rate": 3.44e-05,
115
+ "loss": 0.6773,
116
+ "step": 315
117
+ },
118
+ {
119
+ "epoch": 7.0,
120
+ "eval_combined_score": 0.35661381040781137,
121
+ "eval_loss": 2.393719434738159,
122
+ "eval_pearson": 0.3594036490491602,
123
+ "eval_runtime": 2.4803,
124
+ "eval_samples_per_second": 604.763,
125
+ "eval_spearmanr": 0.3538239717664625,
126
+ "eval_steps_per_second": 4.838,
127
+ "step": 315
128
+ },
129
+ {
130
+ "epoch": 8.0,
131
+ "learning_rate": 3.3600000000000004e-05,
132
+ "loss": 0.5678,
133
+ "step": 360
134
+ },
135
+ {
136
+ "epoch": 8.0,
137
+ "eval_combined_score": 0.3802876739605978,
138
+ "eval_loss": 2.6813249588012695,
139
+ "eval_pearson": 0.38033678117885245,
140
+ "eval_runtime": 2.4841,
141
+ "eval_samples_per_second": 603.845,
142
+ "eval_spearmanr": 0.38023856674234324,
143
+ "eval_steps_per_second": 4.831,
144
+ "step": 360
145
+ },
146
+ {
147
+ "epoch": 9.0,
148
+ "learning_rate": 3.28e-05,
149
+ "loss": 0.4746,
150
+ "step": 405
151
+ },
152
+ {
153
+ "epoch": 9.0,
154
+ "eval_combined_score": 0.3784420407842945,
155
+ "eval_loss": 2.554633855819702,
156
+ "eval_pearson": 0.38737881017296705,
157
+ "eval_runtime": 2.4989,
158
+ "eval_samples_per_second": 600.261,
159
+ "eval_spearmanr": 0.36950527139562195,
160
+ "eval_steps_per_second": 4.802,
161
+ "step": 405
162
+ },
163
+ {
164
+ "epoch": 10.0,
165
+ "learning_rate": 3.2000000000000005e-05,
166
+ "loss": 0.4113,
167
+ "step": 450
168
+ },
169
+ {
170
+ "epoch": 10.0,
171
+ "eval_combined_score": 0.4075329782364955,
172
+ "eval_loss": 2.207718849182129,
173
+ "eval_pearson": 0.41124678689635685,
174
+ "eval_runtime": 2.501,
175
+ "eval_samples_per_second": 599.772,
176
+ "eval_spearmanr": 0.40381916957663416,
177
+ "eval_steps_per_second": 4.798,
178
+ "step": 450
179
+ },
180
+ {
181
+ "epoch": 11.0,
182
+ "learning_rate": 3.1200000000000006e-05,
183
+ "loss": 0.3585,
184
+ "step": 495
185
+ },
186
+ {
187
+ "epoch": 11.0,
188
+ "eval_combined_score": 0.40338639765431117,
189
+ "eval_loss": 2.2846267223358154,
190
+ "eval_pearson": 0.40961605884447455,
191
+ "eval_runtime": 2.5166,
192
+ "eval_samples_per_second": 596.048,
193
+ "eval_spearmanr": 0.39715673646414784,
194
+ "eval_steps_per_second": 4.768,
195
+ "step": 495
196
+ },
197
+ {
198
+ "epoch": 12.0,
199
+ "learning_rate": 3.0400000000000004e-05,
200
+ "loss": 0.3288,
201
+ "step": 540
202
+ },
203
+ {
204
+ "epoch": 12.0,
205
+ "eval_combined_score": 0.39296875304027296,
206
+ "eval_loss": 2.415489912033081,
207
+ "eval_pearson": 0.4011713493012907,
208
+ "eval_runtime": 2.4821,
209
+ "eval_samples_per_second": 604.328,
210
+ "eval_spearmanr": 0.3847661567792552,
211
+ "eval_steps_per_second": 4.835,
212
+ "step": 540
213
+ },
214
+ {
215
+ "epoch": 13.0,
216
+ "learning_rate": 2.96e-05,
217
+ "loss": 0.2745,
218
+ "step": 585
219
+ },
220
+ {
221
+ "epoch": 13.0,
222
+ "eval_combined_score": 0.39641281291560126,
223
+ "eval_loss": 2.363490581512451,
224
+ "eval_pearson": 0.40043181134281525,
225
+ "eval_runtime": 2.473,
226
+ "eval_samples_per_second": 606.539,
227
+ "eval_spearmanr": 0.3923938144883873,
228
+ "eval_steps_per_second": 4.852,
229
+ "step": 585
230
+ },
231
+ {
232
+ "epoch": 14.0,
233
+ "learning_rate": 2.8800000000000002e-05,
234
+ "loss": 0.2579,
235
+ "step": 630
236
+ },
237
+ {
238
+ "epoch": 14.0,
239
+ "eval_combined_score": 0.4106013077457039,
240
+ "eval_loss": 2.0734338760375977,
241
+ "eval_pearson": 0.41838647449624344,
242
+ "eval_runtime": 2.493,
243
+ "eval_samples_per_second": 601.697,
244
+ "eval_spearmanr": 0.4028161409951644,
245
+ "eval_steps_per_second": 4.814,
246
+ "step": 630
247
+ },
248
+ {
249
+ "epoch": 15.0,
250
+ "learning_rate": 2.8e-05,
251
+ "loss": 0.2309,
252
+ "step": 675
253
+ },
254
+ {
255
+ "epoch": 15.0,
256
+ "eval_combined_score": 0.4098630195139652,
257
+ "eval_loss": 2.3461852073669434,
258
+ "eval_pearson": 0.4170909773634089,
259
+ "eval_runtime": 2.4978,
260
+ "eval_samples_per_second": 600.52,
261
+ "eval_spearmanr": 0.40263506166452157,
262
+ "eval_steps_per_second": 4.804,
263
+ "step": 675
264
+ },
265
+ {
266
+ "epoch": 16.0,
267
+ "learning_rate": 2.7200000000000004e-05,
268
+ "loss": 0.2037,
269
+ "step": 720
270
+ },
271
+ {
272
+ "epoch": 16.0,
273
+ "eval_combined_score": 0.415740299608016,
274
+ "eval_loss": 2.259819269180298,
275
+ "eval_pearson": 0.4224942480806353,
276
+ "eval_runtime": 2.4898,
277
+ "eval_samples_per_second": 602.46,
278
+ "eval_spearmanr": 0.4089863511353967,
279
+ "eval_steps_per_second": 4.82,
280
+ "step": 720
281
+ },
282
+ {
283
+ "epoch": 17.0,
284
+ "learning_rate": 2.6400000000000005e-05,
285
+ "loss": 0.1806,
286
+ "step": 765
287
+ },
288
+ {
289
+ "epoch": 17.0,
290
+ "eval_combined_score": 0.4016026713274717,
291
+ "eval_loss": 2.2458109855651855,
292
+ "eval_pearson": 0.4116281690097336,
293
+ "eval_runtime": 2.4829,
294
+ "eval_samples_per_second": 604.129,
295
+ "eval_spearmanr": 0.3915771736452098,
296
+ "eval_steps_per_second": 4.833,
297
+ "step": 765
298
+ },
299
+ {
300
+ "epoch": 18.0,
301
+ "learning_rate": 2.5600000000000002e-05,
302
+ "loss": 0.1785,
303
+ "step": 810
304
+ },
305
+ {
306
+ "epoch": 18.0,
307
+ "eval_combined_score": 0.3995583326979918,
308
+ "eval_loss": 2.3296127319335938,
309
+ "eval_pearson": 0.4088303634529265,
310
+ "eval_runtime": 2.4855,
311
+ "eval_samples_per_second": 603.511,
312
+ "eval_spearmanr": 0.3902863019430571,
313
+ "eval_steps_per_second": 4.828,
314
+ "step": 810
315
+ },
316
+ {
317
+ "epoch": 19.0,
318
+ "learning_rate": 2.4800000000000003e-05,
319
+ "loss": 0.1582,
320
+ "step": 855
321
+ },
322
+ {
323
+ "epoch": 19.0,
324
+ "eval_combined_score": 0.39505603889568086,
325
+ "eval_loss": 2.3369128704071045,
326
+ "eval_pearson": 0.40326860099385287,
327
+ "eval_runtime": 2.4824,
328
+ "eval_samples_per_second": 604.243,
329
+ "eval_spearmanr": 0.3868434767975089,
330
+ "eval_steps_per_second": 4.834,
331
+ "step": 855
332
+ },
333
+ {
334
+ "epoch": 19.0,
335
+ "step": 855,
336
+ "total_flos": 1.5984645283774464e+16,
337
+ "train_loss": 0.7103834141067594,
338
+ "train_runtime": 695.8903,
339
+ "train_samples_per_second": 413.068,
340
+ "train_steps_per_second": 3.233
341
+ }
342
+ ],
343
+ "max_steps": 2250,
344
+ "num_train_epochs": 50,
345
+ "total_flos": 1.5984645283774464e+16,
346
+ "trial_name": null,
347
+ "trial_params": null
348
+ }