gokuls commited on
Commit
855872f
1 Parent(s): 57cc2b0

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: cola
19
  split: validation
@@ -32,9 +34,9 @@ should probably proofread and complete it, then remove this comment. -->
32
 
33
  # hBERTv2_new_pretrain_w_init__cola
34
 
35
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_wt_init](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_wt_init) on the glue dataset.
36
  It achieves the following results on the evaluation set:
37
- - Loss: 0.6192
38
  - Matthews Correlation: 0.0
39
  - Accuracy: 0.6913
40
 
 
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 COLA
19
  type: glue
20
  config: cola
21
  split: validation
 
34
 
35
  # hBERTv2_new_pretrain_w_init__cola
36
 
37
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2_complete_training_new_wt_init](https://huggingface.co/gokuls/bert_12_layer_model_v2_complete_training_new_wt_init) on the GLUE COLA dataset.
38
  It achieves the following results on the evaluation set:
39
+ - Loss: 0.6176
40
  - Matthews Correlation: 0.0
41
  - Accuracy: 0.6913
42
 
all_results.json ADDED
@@ -0,0 +1,15 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.0,
3
+ "eval_accuracy": 0.6912751793861389,
4
+ "eval_loss": 0.6176144480705261,
5
+ "eval_matthews_correlation": 0.0,
6
+ "eval_runtime": 1.7886,
7
+ "eval_samples": 1043,
8
+ "eval_samples_per_second": 583.147,
9
+ "eval_steps_per_second": 5.032,
10
+ "train_loss": 0.6147046770368304,
11
+ "train_runtime": 352.0595,
12
+ "train_samples": 8551,
13
+ "train_samples_per_second": 1214.425,
14
+ "train_steps_per_second": 9.515
15
+ }
eval_results.json ADDED
@@ -0,0 +1,10 @@
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.0,
3
+ "eval_accuracy": 0.6912751793861389,
4
+ "eval_loss": 0.6176144480705261,
5
+ "eval_matthews_correlation": 0.0,
6
+ "eval_runtime": 1.7886,
7
+ "eval_samples": 1043,
8
+ "eval_samples_per_second": 583.147,
9
+ "eval_steps_per_second": 5.032
10
+ }
logs/events.out.tfevents.1686033119.serv-3317.3380349.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:00a3dc6c265cbfb08a395ffc74e9612940f913d0f3e8b9b63d617e420b628d6c
3
+ size 427
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.0,
3
+ "train_loss": 0.6147046770368304,
4
+ "train_runtime": 352.0595,
5
+ "train_samples": 8551,
6
+ "train_samples_per_second": 1214.425,
7
+ "train_steps_per_second": 9.515
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,137 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6176144480705261,
3
+ "best_model_checkpoint": "hBERTv2_new_pretrain_w_init__cola/checkpoint-134",
4
+ "epoch": 7.0,
5
+ "global_step": 469,
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": 0.6224,
14
+ "step": 67
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.6912751793861389,
19
+ "eval_loss": 0.6208990216255188,
20
+ "eval_matthews_correlation": 0.0,
21
+ "eval_runtime": 1.7938,
22
+ "eval_samples_per_second": 581.453,
23
+ "eval_steps_per_second": 5.017,
24
+ "step": 67
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "learning_rate": 3.8400000000000005e-05,
29
+ "loss": 0.6167,
30
+ "step": 134
31
+ },
32
+ {
33
+ "epoch": 2.0,
34
+ "eval_accuracy": 0.6912751793861389,
35
+ "eval_loss": 0.6176144480705261,
36
+ "eval_matthews_correlation": 0.0,
37
+ "eval_runtime": 1.7974,
38
+ "eval_samples_per_second": 580.267,
39
+ "eval_steps_per_second": 5.007,
40
+ "step": 134
41
+ },
42
+ {
43
+ "epoch": 3.0,
44
+ "learning_rate": 3.76e-05,
45
+ "loss": 0.6138,
46
+ "step": 201
47
+ },
48
+ {
49
+ "epoch": 3.0,
50
+ "eval_accuracy": 0.6912751793861389,
51
+ "eval_loss": 0.6233745813369751,
52
+ "eval_matthews_correlation": 0.0,
53
+ "eval_runtime": 1.7973,
54
+ "eval_samples_per_second": 580.302,
55
+ "eval_steps_per_second": 5.007,
56
+ "step": 201
57
+ },
58
+ {
59
+ "epoch": 4.0,
60
+ "learning_rate": 3.680000000000001e-05,
61
+ "loss": 0.6162,
62
+ "step": 268
63
+ },
64
+ {
65
+ "epoch": 4.0,
66
+ "eval_accuracy": 0.6912751793861389,
67
+ "eval_loss": 0.6188260316848755,
68
+ "eval_matthews_correlation": 0.0,
69
+ "eval_runtime": 1.7966,
70
+ "eval_samples_per_second": 580.545,
71
+ "eval_steps_per_second": 5.009,
72
+ "step": 268
73
+ },
74
+ {
75
+ "epoch": 5.0,
76
+ "learning_rate": 3.6e-05,
77
+ "loss": 0.6108,
78
+ "step": 335
79
+ },
80
+ {
81
+ "epoch": 5.0,
82
+ "eval_accuracy": 0.6912751793861389,
83
+ "eval_loss": 0.620170533657074,
84
+ "eval_matthews_correlation": 0.0,
85
+ "eval_runtime": 1.7982,
86
+ "eval_samples_per_second": 580.021,
87
+ "eval_steps_per_second": 5.005,
88
+ "step": 335
89
+ },
90
+ {
91
+ "epoch": 6.0,
92
+ "learning_rate": 3.52e-05,
93
+ "loss": 0.6114,
94
+ "step": 402
95
+ },
96
+ {
97
+ "epoch": 6.0,
98
+ "eval_accuracy": 0.6912751793861389,
99
+ "eval_loss": 0.6180151700973511,
100
+ "eval_matthews_correlation": 0.0,
101
+ "eval_runtime": 1.7959,
102
+ "eval_samples_per_second": 580.759,
103
+ "eval_steps_per_second": 5.011,
104
+ "step": 402
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "learning_rate": 3.44e-05,
109
+ "loss": 0.6117,
110
+ "step": 469
111
+ },
112
+ {
113
+ "epoch": 7.0,
114
+ "eval_accuracy": 0.6912751793861389,
115
+ "eval_loss": 0.619239866733551,
116
+ "eval_matthews_correlation": 0.0,
117
+ "eval_runtime": 1.798,
118
+ "eval_samples_per_second": 580.089,
119
+ "eval_steps_per_second": 5.006,
120
+ "step": 469
121
+ },
122
+ {
123
+ "epoch": 7.0,
124
+ "step": 469,
125
+ "total_flos": 8759423665176576.0,
126
+ "train_loss": 0.6147046770368304,
127
+ "train_runtime": 352.0595,
128
+ "train_samples_per_second": 1214.425,
129
+ "train_steps_per_second": 9.515
130
+ }
131
+ ],
132
+ "max_steps": 3350,
133
+ "num_train_epochs": 50,
134
+ "total_flos": 8759423665176576.0,
135
+ "trial_name": null,
136
+ "trial_params": null
137
+ }