gokulsrinivasagan commited on
Commit
56bc439
1 Parent(s): ca642aa

End of training

Browse files
README.md CHANGED
@@ -1,13 +1,28 @@
1
  ---
2
  library_name: transformers
 
 
3
  base_model: gokulsrinivasagan/bert_base_lda_50_v1
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - spearmanr
8
  model-index:
9
  - name: bert_base_lda_50_v1_stsb
10
- results: []
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,12 +30,12 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # bert_base_lda_50_v1_stsb
17
 
18
- This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 2.0050
21
- - Pearson: 0.5558
22
- - Spearmanr: 0.5493
23
- - Combined Score: 0.5526
24
 
25
  ## Model description
26
 
 
1
  ---
2
  library_name: transformers
3
+ language:
4
+ - en
5
  base_model: gokulsrinivasagan/bert_base_lda_50_v1
6
  tags:
7
  - generated_from_trainer
8
+ datasets:
9
+ - glue
10
  metrics:
11
  - spearmanr
12
  model-index:
13
  - name: bert_base_lda_50_v1_stsb
14
+ results:
15
+ - task:
16
+ name: Text Classification
17
+ type: text-classification
18
+ dataset:
19
+ name: GLUE STSB
20
+ type: glue
21
+ args: stsb
22
+ metrics:
23
+ - name: Spearmanr
24
+ type: spearmanr
25
+ value: 0.5589090761362828
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # bert_base_lda_50_v1_stsb
32
 
33
+ This model is a fine-tuned version of [gokulsrinivasagan/bert_base_lda_50_v1](https://huggingface.co/gokulsrinivasagan/bert_base_lda_50_v1) on the GLUE STSB dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.6371
36
+ - Pearson: 0.5607
37
+ - Spearmanr: 0.5589
38
+ - Combined Score: 0.5598
39
 
40
  ## Model description
41
 
all_results.json CHANGED
@@ -1,17 +1,17 @@
1
  {
2
- "epoch": 8.0,
3
- "eval_combined_score": NaN,
4
- "eval_loss": 2.2729742527008057,
5
- "eval_pearson": NaN,
6
- "eval_runtime": 0.9476,
7
  "eval_samples": 1500,
8
- "eval_samples_per_second": 1582.938,
9
- "eval_spearmanr": NaN,
10
- "eval_steps_per_second": 6.332,
11
- "total_flos": 6050447504044032.0,
12
- "train_loss": 2.691379339798637,
13
- "train_runtime": 97.5477,
14
  "train_samples": 5749,
15
- "train_samples_per_second": 2946.763,
16
- "train_steps_per_second": 11.789
17
  }
 
1
  {
2
+ "epoch": 11.0,
3
+ "eval_combined_score": 0.559797186554887,
4
+ "eval_loss": 1.6371002197265625,
5
+ "eval_pearson": 0.560685296973491,
6
+ "eval_runtime": 0.9619,
7
  "eval_samples": 1500,
8
+ "eval_samples_per_second": 1559.336,
9
+ "eval_spearmanr": 0.5589090761362828,
10
+ "eval_steps_per_second": 6.237,
11
+ "total_flos": 8319365318060544.0,
12
+ "train_loss": 0.9649757660424756,
13
+ "train_runtime": 142.9045,
14
  "train_samples": 5749,
15
+ "train_samples_per_second": 2011.483,
16
+ "train_steps_per_second": 8.047
17
  }
eval_results.json CHANGED
@@ -1,11 +1,11 @@
1
  {
2
- "epoch": 8.0,
3
- "eval_combined_score": NaN,
4
- "eval_loss": 2.2729742527008057,
5
- "eval_pearson": NaN,
6
- "eval_runtime": 0.9476,
7
  "eval_samples": 1500,
8
- "eval_samples_per_second": 1582.938,
9
- "eval_spearmanr": NaN,
10
- "eval_steps_per_second": 6.332
11
  }
 
1
  {
2
+ "epoch": 11.0,
3
+ "eval_combined_score": 0.559797186554887,
4
+ "eval_loss": 1.6371002197265625,
5
+ "eval_pearson": 0.560685296973491,
6
+ "eval_runtime": 0.9619,
7
  "eval_samples": 1500,
8
+ "eval_samples_per_second": 1559.336,
9
+ "eval_spearmanr": 0.5589090761362828,
10
+ "eval_steps_per_second": 6.237
11
  }
logs/events.out.tfevents.1733317705.ki-g0008.1207984.13 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:d05accd6cd4df277c4e0f1fec68248b9122d9a1e4c2c52cc2a3d654342272c01
3
+ size 521
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "epoch": 8.0,
3
- "total_flos": 6050447504044032.0,
4
- "train_loss": 2.691379339798637,
5
- "train_runtime": 97.5477,
6
  "train_samples": 5749,
7
- "train_samples_per_second": 2946.763,
8
- "train_steps_per_second": 11.789
9
  }
 
1
  {
2
+ "epoch": 11.0,
3
+ "total_flos": 8319365318060544.0,
4
+ "train_loss": 0.9649757660424756,
5
+ "train_runtime": 142.9045,
6
  "train_samples": 5749,
7
+ "train_samples_per_second": 2011.483,
8
+ "train_steps_per_second": 8.047
9
  }
trainer_state.json CHANGED
@@ -1,165 +1,219 @@
1
  {
2
- "best_metric": 2.2729742527008057,
3
- "best_model_checkpoint": "bert_base_lda_50_v1_stsb/checkpoint-69",
4
- "epoch": 8.0,
5
  "eval_steps": 500,
6
- "global_step": 184,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
  "epoch": 1.0,
13
- "grad_norm": 8.73307991027832,
14
- "learning_rate": 0.00098,
15
- "loss": 6.0649,
16
  "step": 23
17
  },
18
  {
19
  "epoch": 1.0,
20
- "eval_combined_score": NaN,
21
- "eval_loss": 2.3650248050689697,
22
- "eval_pearson": NaN,
23
- "eval_runtime": 0.9635,
24
- "eval_samples_per_second": 1556.811,
25
- "eval_spearmanr": NaN,
26
- "eval_steps_per_second": 6.227,
27
  "step": 23
28
  },
29
  {
30
  "epoch": 2.0,
31
- "grad_norm": 3.9381163120269775,
32
- "learning_rate": 0.00096,
33
- "loss": 2.2353,
34
  "step": 46
35
  },
36
  {
37
  "epoch": 2.0,
38
- "eval_combined_score": NaN,
39
- "eval_loss": 2.9027676582336426,
40
- "eval_pearson": NaN,
41
- "eval_runtime": 0.9401,
42
- "eval_samples_per_second": 1595.62,
43
- "eval_spearmanr": NaN,
44
- "eval_steps_per_second": 6.382,
45
  "step": 46
46
  },
47
  {
48
  "epoch": 3.0,
49
- "grad_norm": 3.263155221939087,
50
- "learning_rate": 0.00094,
51
- "loss": 2.2088,
52
  "step": 69
53
  },
54
  {
55
  "epoch": 3.0,
56
- "eval_combined_score": NaN,
57
- "eval_loss": 2.2729742527008057,
58
- "eval_pearson": NaN,
59
- "eval_runtime": 0.9531,
60
- "eval_samples_per_second": 1573.815,
61
- "eval_spearmanr": NaN,
62
- "eval_steps_per_second": 6.295,
63
  "step": 69
64
  },
65
  {
66
  "epoch": 4.0,
67
- "grad_norm": 17.50048065185547,
68
- "learning_rate": 0.00092,
69
- "loss": 2.2442,
70
  "step": 92
71
  },
72
  {
73
  "epoch": 4.0,
74
- "eval_combined_score": NaN,
75
- "eval_loss": 2.3650248050689697,
76
- "eval_pearson": NaN,
77
- "eval_runtime": 0.9477,
78
- "eval_samples_per_second": 1582.73,
79
- "eval_spearmanr": NaN,
80
- "eval_steps_per_second": 6.331,
81
  "step": 92
82
  },
83
  {
84
  "epoch": 5.0,
85
- "grad_norm": 19.822242736816406,
86
- "learning_rate": 0.0009000000000000001,
87
- "loss": 2.186,
88
  "step": 115
89
  },
90
  {
91
  "epoch": 5.0,
92
- "eval_combined_score": NaN,
93
- "eval_loss": 2.5440917015075684,
94
- "eval_pearson": NaN,
95
- "eval_runtime": 0.9591,
96
- "eval_samples_per_second": 1564.007,
97
- "eval_spearmanr": NaN,
98
- "eval_steps_per_second": 6.256,
99
  "step": 115
100
  },
101
  {
102
  "epoch": 6.0,
103
- "grad_norm": 11.794938087463379,
104
- "learning_rate": 0.00088,
105
- "loss": 2.2071,
106
  "step": 138
107
  },
108
  {
109
  "epoch": 6.0,
110
- "eval_combined_score": NaN,
111
- "eval_loss": 2.3354201316833496,
112
- "eval_pearson": NaN,
113
- "eval_runtime": 0.957,
114
- "eval_samples_per_second": 1567.38,
115
- "eval_spearmanr": NaN,
116
- "eval_steps_per_second": 6.27,
117
  "step": 138
118
  },
119
  {
120
  "epoch": 7.0,
121
- "grad_norm": 13.783312797546387,
122
- "learning_rate": 0.00086,
123
- "loss": 2.1952,
124
  "step": 161
125
  },
126
  {
127
  "epoch": 7.0,
128
- "eval_combined_score": NaN,
129
- "eval_loss": 2.561283588409424,
130
- "eval_pearson": NaN,
131
- "eval_runtime": 0.9859,
132
- "eval_samples_per_second": 1521.457,
133
- "eval_spearmanr": NaN,
134
- "eval_steps_per_second": 6.086,
135
  "step": 161
136
  },
137
  {
138
  "epoch": 8.0,
139
- "grad_norm": 4.902163028717041,
140
- "learning_rate": 0.00084,
141
- "loss": 2.1895,
142
  "step": 184
143
  },
144
  {
145
  "epoch": 8.0,
146
- "eval_combined_score": NaN,
147
- "eval_loss": 2.615790605545044,
148
- "eval_pearson": NaN,
149
- "eval_runtime": 0.9607,
150
- "eval_samples_per_second": 1561.399,
151
- "eval_spearmanr": NaN,
152
- "eval_steps_per_second": 6.246,
153
  "step": 184
154
  },
155
  {
156
- "epoch": 8.0,
157
- "step": 184,
158
- "total_flos": 6050447504044032.0,
159
- "train_loss": 2.691379339798637,
160
- "train_runtime": 97.5477,
161
- "train_samples_per_second": 2946.763,
162
- "train_steps_per_second": 11.789
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
163
  }
164
  ],
165
  "logging_steps": 1,
@@ -188,7 +242,7 @@
188
  "attributes": {}
189
  }
190
  },
191
- "total_flos": 6050447504044032.0,
192
  "train_batch_size": 256,
193
  "trial_name": null,
194
  "trial_params": null
 
1
  {
2
+ "best_metric": 1.6371002197265625,
3
+ "best_model_checkpoint": "bert_base_lda_50_v1_stsb/checkpoint-138",
4
+ "epoch": 11.0,
5
  "eval_steps": 500,
6
+ "global_step": 253,
7
  "is_hyper_param_search": false,
8
  "is_local_process_zero": true,
9
  "is_world_process_zero": true,
10
  "log_history": [
11
  {
12
  "epoch": 1.0,
13
+ "grad_norm": 6.3296051025390625,
14
+ "learning_rate": 4.9e-05,
15
+ "loss": 2.6627,
16
  "step": 23
17
  },
18
  {
19
  "epoch": 1.0,
20
+ "eval_combined_score": 0.06494268218902295,
21
+ "eval_loss": 2.5606296062469482,
22
+ "eval_pearson": 0.06187602665686126,
23
+ "eval_runtime": 0.957,
24
+ "eval_samples_per_second": 1567.353,
25
+ "eval_spearmanr": 0.06800933772118464,
26
+ "eval_steps_per_second": 6.269,
27
  "step": 23
28
  },
29
  {
30
  "epoch": 2.0,
31
+ "grad_norm": 12.320566177368164,
32
+ "learning_rate": 4.8e-05,
33
+ "loss": 1.9634,
34
  "step": 46
35
  },
36
  {
37
  "epoch": 2.0,
38
+ "eval_combined_score": 0.30998578325243265,
39
+ "eval_loss": 2.086641550064087,
40
+ "eval_pearson": 0.3207566292536792,
41
+ "eval_runtime": 0.9895,
42
+ "eval_samples_per_second": 1515.912,
43
+ "eval_spearmanr": 0.29921493725118614,
44
+ "eval_steps_per_second": 6.064,
45
  "step": 46
46
  },
47
  {
48
  "epoch": 3.0,
49
+ "grad_norm": 11.113969802856445,
50
+ "learning_rate": 4.7e-05,
51
+ "loss": 1.5146,
52
  "step": 69
53
  },
54
  {
55
  "epoch": 3.0,
56
+ "eval_combined_score": 0.4755539101703913,
57
+ "eval_loss": 1.9855146408081055,
58
+ "eval_pearson": 0.48212418411682795,
59
+ "eval_runtime": 0.9719,
60
+ "eval_samples_per_second": 1543.364,
61
+ "eval_spearmanr": 0.4689836362239546,
62
+ "eval_steps_per_second": 6.173,
63
  "step": 69
64
  },
65
  {
66
  "epoch": 4.0,
67
+ "grad_norm": 12.492632865905762,
68
+ "learning_rate": 4.600000000000001e-05,
69
+ "loss": 1.0707,
70
  "step": 92
71
  },
72
  {
73
  "epoch": 4.0,
74
+ "eval_combined_score": 0.47411143532938405,
75
+ "eval_loss": 2.3493354320526123,
76
+ "eval_pearson": 0.4692525816689466,
77
+ "eval_runtime": 0.9687,
78
+ "eval_samples_per_second": 1548.421,
79
+ "eval_spearmanr": 0.4789702889898215,
80
+ "eval_steps_per_second": 6.194,
81
  "step": 92
82
  },
83
  {
84
  "epoch": 5.0,
85
+ "grad_norm": 17.909231185913086,
86
+ "learning_rate": 4.5e-05,
87
+ "loss": 0.8577,
88
  "step": 115
89
  },
90
  {
91
  "epoch": 5.0,
92
+ "eval_combined_score": 0.5322450011905526,
93
+ "eval_loss": 1.7065768241882324,
94
+ "eval_pearson": 0.5351874246687656,
95
+ "eval_runtime": 0.9801,
96
+ "eval_samples_per_second": 1530.489,
97
+ "eval_spearmanr": 0.5293025777123396,
98
+ "eval_steps_per_second": 6.122,
99
  "step": 115
100
  },
101
  {
102
  "epoch": 6.0,
103
+ "grad_norm": 9.92444133758545,
104
+ "learning_rate": 4.4000000000000006e-05,
105
+ "loss": 0.6288,
106
  "step": 138
107
  },
108
  {
109
  "epoch": 6.0,
110
+ "eval_combined_score": 0.559797186554887,
111
+ "eval_loss": 1.6371002197265625,
112
+ "eval_pearson": 0.560685296973491,
113
+ "eval_runtime": 1.0615,
114
+ "eval_samples_per_second": 1413.067,
115
+ "eval_spearmanr": 0.5589090761362828,
116
+ "eval_steps_per_second": 5.652,
117
  "step": 138
118
  },
119
  {
120
  "epoch": 7.0,
121
+ "grad_norm": 12.71578311920166,
122
+ "learning_rate": 4.3e-05,
123
+ "loss": 0.5403,
124
  "step": 161
125
  },
126
  {
127
  "epoch": 7.0,
128
+ "eval_combined_score": 0.5614071171966524,
129
+ "eval_loss": 1.6739599704742432,
130
+ "eval_pearson": 0.5635509224069212,
131
+ "eval_runtime": 0.976,
132
+ "eval_samples_per_second": 1536.84,
133
+ "eval_spearmanr": 0.5592633119863837,
134
+ "eval_steps_per_second": 6.147,
135
  "step": 161
136
  },
137
  {
138
  "epoch": 8.0,
139
+ "grad_norm": 6.189964294433594,
140
+ "learning_rate": 4.2e-05,
141
+ "loss": 0.4198,
142
  "step": 184
143
  },
144
  {
145
  "epoch": 8.0,
146
+ "eval_combined_score": 0.5633803172390597,
147
+ "eval_loss": 1.7393492460250854,
148
+ "eval_pearson": 0.5655303330048267,
149
+ "eval_runtime": 0.9693,
150
+ "eval_samples_per_second": 1547.518,
151
+ "eval_spearmanr": 0.5612303014732926,
152
+ "eval_steps_per_second": 6.19,
153
  "step": 184
154
  },
155
  {
156
+ "epoch": 9.0,
157
+ "grad_norm": 6.257621765136719,
158
+ "learning_rate": 4.1e-05,
159
+ "loss": 0.3618,
160
+ "step": 207
161
+ },
162
+ {
163
+ "epoch": 9.0,
164
+ "eval_combined_score": 0.5394844687046827,
165
+ "eval_loss": 1.696278691291809,
166
+ "eval_pearson": 0.5445639339098167,
167
+ "eval_runtime": 0.9809,
168
+ "eval_samples_per_second": 1529.25,
169
+ "eval_spearmanr": 0.5344050034995488,
170
+ "eval_steps_per_second": 6.117,
171
+ "step": 207
172
+ },
173
+ {
174
+ "epoch": 10.0,
175
+ "grad_norm": 12.734039306640625,
176
+ "learning_rate": 4e-05,
177
+ "loss": 0.3216,
178
+ "step": 230
179
+ },
180
+ {
181
+ "epoch": 10.0,
182
+ "eval_combined_score": 0.5555231621684992,
183
+ "eval_loss": 1.6674435138702393,
184
+ "eval_pearson": 0.5593674576511678,
185
+ "eval_runtime": 0.9707,
186
+ "eval_samples_per_second": 1545.211,
187
+ "eval_spearmanr": 0.5516788666858305,
188
+ "eval_steps_per_second": 6.181,
189
+ "step": 230
190
+ },
191
+ {
192
+ "epoch": 11.0,
193
+ "grad_norm": 13.98444652557373,
194
+ "learning_rate": 3.9000000000000006e-05,
195
+ "loss": 0.2733,
196
+ "step": 253
197
+ },
198
+ {
199
+ "epoch": 11.0,
200
+ "eval_combined_score": 0.5525614402945593,
201
+ "eval_loss": 2.0049800872802734,
202
+ "eval_pearson": 0.5557989652919822,
203
+ "eval_runtime": 0.9675,
204
+ "eval_samples_per_second": 1550.429,
205
+ "eval_spearmanr": 0.5493239152971364,
206
+ "eval_steps_per_second": 6.202,
207
+ "step": 253
208
+ },
209
+ {
210
+ "epoch": 11.0,
211
+ "step": 253,
212
+ "total_flos": 8319365318060544.0,
213
+ "train_loss": 0.9649757660424756,
214
+ "train_runtime": 142.9045,
215
+ "train_samples_per_second": 2011.483,
216
+ "train_steps_per_second": 8.047
217
  }
218
  ],
219
  "logging_steps": 1,
 
242
  "attributes": {}
243
  }
244
  },
245
+ "total_flos": 8319365318060544.0,
246
  "train_batch_size": 256,
247
  "trial_name": null,
248
  "trial_params": null