gokuls commited on
Commit
ee522d9
·
1 Parent(s): f29a194

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: cola
18
  split: validation
@@ -28,9 +30,9 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  # hBERTv2_new_pretrain_cola
30
 
31
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new) on the glue dataset.
32
  It achieves the following results on the evaluation set:
33
- - Loss: 0.6200
34
  - Matthews Correlation: 0.0
35
 
36
  ## Model description
 
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 COLA
18
  type: glue
19
  config: cola
20
  split: validation
 
30
 
31
  # hBERTv2_new_pretrain_cola
32
 
33
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new) on the GLUE COLA dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6173
36
  - Matthews Correlation: 0.0
37
 
38
  ## Model description
all_results.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
- "epoch": 6.0,
3
- "eval_loss": 9.847195625305176,
4
  "eval_matthews_correlation": 0.0,
5
- "eval_runtime": 1.8224,
6
  "eval_samples": 1043,
7
- "eval_samples_per_second": 572.309,
8
- "eval_steps_per_second": 4.938,
9
- "train_loss": 157.5859132074005,
10
- "train_runtime": 312.4982,
11
  "train_samples": 8551,
12
- "train_samples_per_second": 1368.168,
13
- "train_steps_per_second": 10.72
14
  }
 
1
  {
2
+ "epoch": 8.0,
3
+ "eval_loss": 0.6172745823860168,
4
  "eval_matthews_correlation": 0.0,
5
+ "eval_runtime": 1.7868,
6
  "eval_samples": 1043,
7
+ "eval_samples_per_second": 583.712,
8
+ "eval_steps_per_second": 5.037,
9
+ "train_loss": 0.6167977461174353,
10
+ "train_runtime": 414.5842,
11
  "train_samples": 8551,
12
+ "train_samples_per_second": 1031.274,
13
+ "train_steps_per_second": 8.08
14
  }
eval_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "epoch": 6.0,
3
- "eval_loss": 9.847195625305176,
4
  "eval_matthews_correlation": 0.0,
5
- "eval_runtime": 1.8224,
6
  "eval_samples": 1043,
7
- "eval_samples_per_second": 572.309,
8
- "eval_steps_per_second": 4.938
9
  }
 
1
  {
2
+ "epoch": 8.0,
3
+ "eval_loss": 0.6172745823860168,
4
  "eval_matthews_correlation": 0.0,
5
+ "eval_runtime": 1.7868,
6
  "eval_samples": 1043,
7
+ "eval_samples_per_second": 583.712,
8
+ "eval_steps_per_second": 5.037
9
  }
logs/events.out.tfevents.1686032849.serv-3317.3377083.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:e40be66665dbca722083c087466a672dcaefe79a4fc26718b0f58b064922fc21
3
+ size 375
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 6.0,
3
- "train_loss": 157.5859132074005,
4
- "train_runtime": 312.4982,
5
  "train_samples": 8551,
6
- "train_samples_per_second": 1368.168,
7
- "train_steps_per_second": 10.72
8
  }
 
1
  {
2
+ "epoch": 8.0,
3
+ "train_loss": 0.6167977461174353,
4
+ "train_runtime": 414.5842,
5
  "train_samples": 8551,
6
+ "train_samples_per_second": 1031.274,
7
+ "train_steps_per_second": 8.08
8
  }
trainer_state.json CHANGED
@@ -1,115 +1,145 @@
1
  {
2
- "best_metric": 9.847195625305176,
3
- "best_model_checkpoint": "hBERTv2_new_pretrain_cola/checkpoint-67",
4
- "epoch": 6.0,
5
- "global_step": 402,
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": 225.85,
14
  "step": 67
15
  },
16
  {
17
  "epoch": 1.0,
18
- "eval_loss": 9.847195625305176,
19
  "eval_matthews_correlation": 0.0,
20
- "eval_runtime": 1.8271,
21
- "eval_samples_per_second": 570.863,
22
- "eval_steps_per_second": 4.926,
23
  "step": 67
24
  },
25
  {
26
  "epoch": 2.0,
27
- "learning_rate": 0.00048,
28
- "loss": 322.5451,
29
  "step": 134
30
  },
31
  {
32
  "epoch": 2.0,
33
- "eval_loss": 176.96644592285156,
34
  "eval_matthews_correlation": 0.0,
35
- "eval_runtime": 1.8295,
36
- "eval_samples_per_second": 570.11,
37
- "eval_steps_per_second": 4.919,
38
  "step": 134
39
  },
40
  {
41
  "epoch": 3.0,
42
- "learning_rate": 0.00047,
43
- "loss": 88.5896,
44
  "step": 201
45
  },
46
  {
47
  "epoch": 3.0,
48
- "eval_loss": 127.87056732177734,
49
  "eval_matthews_correlation": 0.0,
50
- "eval_runtime": 1.8269,
51
- "eval_samples_per_second": 570.919,
52
- "eval_steps_per_second": 4.926,
53
  "step": 201
54
  },
55
  {
56
  "epoch": 4.0,
57
- "learning_rate": 0.00046,
58
- "loss": 121.8729,
59
  "step": 268
60
  },
61
  {
62
  "epoch": 4.0,
63
- "eval_loss": 106.45637512207031,
64
  "eval_matthews_correlation": 0.0,
65
- "eval_runtime": 1.8301,
66
- "eval_samples_per_second": 569.928,
67
- "eval_steps_per_second": 4.918,
68
  "step": 268
69
  },
70
  {
71
  "epoch": 5.0,
72
- "learning_rate": 0.00045000000000000004,
73
- "loss": 99.3696,
74
  "step": 335
75
  },
76
  {
77
  "epoch": 5.0,
78
- "eval_loss": 85.71812438964844,
79
  "eval_matthews_correlation": 0.0,
80
- "eval_runtime": 1.827,
81
- "eval_samples_per_second": 570.868,
82
- "eval_steps_per_second": 4.926,
83
  "step": 335
84
  },
85
  {
86
  "epoch": 6.0,
87
- "learning_rate": 0.00044,
88
- "loss": 87.2883,
89
  "step": 402
90
  },
91
  {
92
  "epoch": 6.0,
93
- "eval_loss": 79.47842407226562,
94
  "eval_matthews_correlation": 0.0,
95
- "eval_runtime": 1.8262,
96
- "eval_samples_per_second": 571.122,
97
- "eval_steps_per_second": 4.928,
98
  "step": 402
99
  },
100
  {
101
- "epoch": 6.0,
102
- "step": 402,
103
- "total_flos": 7508077427294208.0,
104
- "train_loss": 157.5859132074005,
105
- "train_runtime": 312.4982,
106
- "train_samples_per_second": 1368.168,
107
- "train_steps_per_second": 10.72
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
108
  }
109
  ],
110
  "max_steps": 3350,
111
  "num_train_epochs": 50,
112
- "total_flos": 7508077427294208.0,
113
  "trial_name": null,
114
  "trial_params": null
115
  }
 
1
  {
2
+ "best_metric": 0.6172745823860168,
3
+ "best_model_checkpoint": "hBERTv2_new_pretrain_cola/checkpoint-201",
4
+ "epoch": 8.0,
5
+ "global_step": 536,
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": 0.6294,
14
  "step": 67
15
  },
16
  {
17
  "epoch": 1.0,
18
+ "eval_loss": 0.6236423850059509,
19
  "eval_matthews_correlation": 0.0,
20
+ "eval_runtime": 1.7907,
21
+ "eval_samples_per_second": 582.451,
22
+ "eval_steps_per_second": 5.026,
23
  "step": 67
24
  },
25
  {
26
  "epoch": 2.0,
27
+ "learning_rate": 3.8400000000000005e-05,
28
+ "loss": 0.6169,
29
  "step": 134
30
  },
31
  {
32
  "epoch": 2.0,
33
+ "eval_loss": 0.6311982870101929,
34
  "eval_matthews_correlation": 0.0,
35
+ "eval_runtime": 1.7917,
36
+ "eval_samples_per_second": 582.113,
37
+ "eval_steps_per_second": 5.023,
38
  "step": 134
39
  },
40
  {
41
  "epoch": 3.0,
42
+ "learning_rate": 3.76e-05,
43
+ "loss": 0.6115,
44
  "step": 201
45
  },
46
  {
47
  "epoch": 3.0,
48
+ "eval_loss": 0.6172745823860168,
49
  "eval_matthews_correlation": 0.0,
50
+ "eval_runtime": 1.7888,
51
+ "eval_samples_per_second": 583.068,
52
+ "eval_steps_per_second": 5.031,
53
  "step": 201
54
  },
55
  {
56
  "epoch": 4.0,
57
+ "learning_rate": 3.680000000000001e-05,
58
+ "loss": 0.6372,
59
  "step": 268
60
  },
61
  {
62
  "epoch": 4.0,
63
+ "eval_loss": 0.620063841342926,
64
  "eval_matthews_correlation": 0.0,
65
+ "eval_runtime": 1.7867,
66
+ "eval_samples_per_second": 583.759,
67
+ "eval_steps_per_second": 5.037,
68
  "step": 268
69
  },
70
  {
71
  "epoch": 5.0,
72
+ "learning_rate": 3.6e-05,
73
+ "loss": 0.6087,
74
  "step": 335
75
  },
76
  {
77
  "epoch": 5.0,
78
+ "eval_loss": 0.6216873526573181,
79
  "eval_matthews_correlation": 0.0,
80
+ "eval_runtime": 1.7924,
81
+ "eval_samples_per_second": 581.886,
82
+ "eval_steps_per_second": 5.021,
83
  "step": 335
84
  },
85
  {
86
  "epoch": 6.0,
87
+ "learning_rate": 3.52e-05,
88
+ "loss": 0.6086,
89
  "step": 402
90
  },
91
  {
92
  "epoch": 6.0,
93
+ "eval_loss": 0.624801516532898,
94
  "eval_matthews_correlation": 0.0,
95
+ "eval_runtime": 1.7896,
96
+ "eval_samples_per_second": 582.822,
97
+ "eval_steps_per_second": 5.029,
98
  "step": 402
99
  },
100
  {
101
+ "epoch": 7.0,
102
+ "learning_rate": 3.44e-05,
103
+ "loss": 0.6113,
104
+ "step": 469
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_loss": 0.6282826662063599,
109
+ "eval_matthews_correlation": 0.0,
110
+ "eval_runtime": 1.7883,
111
+ "eval_samples_per_second": 583.234,
112
+ "eval_steps_per_second": 5.033,
113
+ "step": 469
114
+ },
115
+ {
116
+ "epoch": 8.0,
117
+ "learning_rate": 3.3600000000000004e-05,
118
+ "loss": 0.6109,
119
+ "step": 536
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_loss": 0.620032012462616,
124
+ "eval_matthews_correlation": 0.0,
125
+ "eval_runtime": 1.8037,
126
+ "eval_samples_per_second": 578.242,
127
+ "eval_steps_per_second": 4.99,
128
+ "step": 536
129
+ },
130
+ {
131
+ "epoch": 8.0,
132
+ "step": 536,
133
+ "total_flos": 1.0010769903058944e+16,
134
+ "train_loss": 0.6167977461174353,
135
+ "train_runtime": 414.5842,
136
+ "train_samples_per_second": 1031.274,
137
+ "train_steps_per_second": 8.08
138
  }
139
  ],
140
  "max_steps": 3350,
141
  "num_train_epochs": 50,
142
+ "total_flos": 1.0010769903058944e+16,
143
  "trial_name": null,
144
  "trial_params": null
145
  }