gokuls commited on
Commit
553c7c0
1 Parent(s): 77a6413

End of training

Browse files
README.md CHANGED
@@ -1,12 +1,30 @@
1
  ---
 
 
2
  tags:
3
  - generated_from_trainer
 
 
4
  metrics:
5
  - accuracy
6
  - f1
7
  model-index:
8
  - name: hBERTv2_data_aug_qqp
9
- results: []
 
 
 
 
 
 
 
 
 
 
 
 
 
 
10
  ---
11
 
12
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,9 +32,9 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  # hBERTv2_data_aug_qqp
16
 
17
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: nan
20
  - Accuracy: 0.6318
21
  - F1: 0.0
22
  - Combined Score: 0.3159
 
1
  ---
2
+ language:
3
+ - en
4
  tags:
5
  - generated_from_trainer
6
+ datasets:
7
+ - glue
8
  metrics:
9
  - accuracy
10
  - f1
11
  model-index:
12
  - name: hBERTv2_data_aug_qqp
13
+ results:
14
+ - task:
15
+ name: Text Classification
16
+ type: text-classification
17
+ dataset:
18
+ name: GLUE QQP
19
+ type: glue
20
+ args: qqp
21
+ metrics:
22
+ - name: Accuracy
23
+ type: accuracy
24
+ value: 0.6318327974276527
25
+ - name: F1
26
+ type: f1
27
+ value: 0.0
28
  ---
29
 
30
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
32
 
33
  # hBERTv2_data_aug_qqp
34
 
35
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v2](https://huggingface.co/gokuls/bert_12_layer_model_v2) on the GLUE QQP dataset.
36
  It achieves the following results on the evaluation set:
37
+ - Loss: 0.6782
38
  - Accuracy: 0.6318
39
  - F1: 0.0
40
  - Combined Score: 0.3159
all_results.json ADDED
@@ -0,0 +1,16 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.6318327974276527,
4
+ "eval_combined_score": 0.3159163987138264,
5
+ "eval_f1": 0.0,
6
+ "eval_loss": 0.6781896352767944,
7
+ "eval_runtime": 46.9166,
8
+ "eval_samples": 40430,
9
+ "eval_samples_per_second": 861.742,
10
+ "eval_steps_per_second": 3.368,
11
+ "train_loss": 0.21557685426156767,
12
+ "train_runtime": 152441.456,
13
+ "train_samples": 7595601,
14
+ "train_samples_per_second": 2491.317,
15
+ "train_steps_per_second": 9.732
16
+ }
eval_results.json ADDED
@@ -0,0 +1,11 @@
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "eval_accuracy": 0.6318327974276527,
4
+ "eval_combined_score": 0.3159163987138264,
5
+ "eval_f1": 0.0,
6
+ "eval_loss": 0.6781896352767944,
7
+ "eval_runtime": 46.9166,
8
+ "eval_samples": 40430,
9
+ "eval_samples_per_second": 861.742,
10
+ "eval_steps_per_second": 3.368
11
+ }
logs/events.out.tfevents.1677989929.serv-3317.65033.11 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:02a5ba8c5c11969ee34c5266ee4a6822e0802497e0e1d522239574243b99b465
3
+ size 475
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 6.0,
3
+ "train_loss": 0.21557685426156767,
4
+ "train_runtime": 152441.456,
5
+ "train_samples": 7595601,
6
+ "train_samples_per_second": 2491.317,
7
+ "train_steps_per_second": 9.732
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,127 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6781896352767944,
3
+ "best_model_checkpoint": "hBERTv2_data_aug_qqp/checkpoint-29671",
4
+ "epoch": 6.0,
5
+ "global_step": 178026,
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": 4.900040443530721e-05,
13
+ "loss": 0.6528,
14
+ "step": 29671
15
+ },
16
+ {
17
+ "epoch": 1.0,
18
+ "eval_accuracy": 0.6318327974276527,
19
+ "eval_combined_score": 0.3159163987138264,
20
+ "eval_f1": 0.0,
21
+ "eval_loss": 0.6781896352767944,
22
+ "eval_runtime": 48.8385,
23
+ "eval_samples_per_second": 827.831,
24
+ "eval_steps_per_second": 3.235,
25
+ "step": 29671
26
+ },
27
+ {
28
+ "epoch": 2.0,
29
+ "learning_rate": 4.800623504431937e-05,
30
+ "loss": 0.6407,
31
+ "step": 59342
32
+ },
33
+ {
34
+ "epoch": 2.0,
35
+ "eval_accuracy": 0.6318327974276527,
36
+ "eval_combined_score": 0.3159163987138264,
37
+ "eval_f1": 0.0,
38
+ "eval_loss": NaN,
39
+ "eval_runtime": 47.7904,
40
+ "eval_samples_per_second": 845.987,
41
+ "eval_steps_per_second": 3.306,
42
+ "step": 59342
43
+ },
44
+ {
45
+ "epoch": 3.0,
46
+ "learning_rate": 4.7006235044319366e-05,
47
+ "loss": 0.0,
48
+ "step": 89013
49
+ },
50
+ {
51
+ "epoch": 3.0,
52
+ "eval_accuracy": 0.6318327974276527,
53
+ "eval_combined_score": 0.3159163987138264,
54
+ "eval_f1": 0.0,
55
+ "eval_loss": NaN,
56
+ "eval_runtime": 45.7023,
57
+ "eval_samples_per_second": 884.639,
58
+ "eval_steps_per_second": 3.457,
59
+ "step": 89013
60
+ },
61
+ {
62
+ "epoch": 4.0,
63
+ "learning_rate": 4.6006235044319375e-05,
64
+ "loss": 0.0,
65
+ "step": 118684
66
+ },
67
+ {
68
+ "epoch": 4.0,
69
+ "eval_accuracy": 0.6318327974276527,
70
+ "eval_combined_score": 0.3159163987138264,
71
+ "eval_f1": 0.0,
72
+ "eval_loss": NaN,
73
+ "eval_runtime": 45.742,
74
+ "eval_samples_per_second": 883.87,
75
+ "eval_steps_per_second": 3.454,
76
+ "step": 118684
77
+ },
78
+ {
79
+ "epoch": 5.0,
80
+ "learning_rate": 4.500623504431937e-05,
81
+ "loss": 0.0,
82
+ "step": 148355
83
+ },
84
+ {
85
+ "epoch": 5.0,
86
+ "eval_accuracy": 0.6318327974276527,
87
+ "eval_combined_score": 0.3159163987138264,
88
+ "eval_f1": 0.0,
89
+ "eval_loss": NaN,
90
+ "eval_runtime": 45.7516,
91
+ "eval_samples_per_second": 883.686,
92
+ "eval_steps_per_second": 3.453,
93
+ "step": 148355
94
+ },
95
+ {
96
+ "epoch": 6.0,
97
+ "learning_rate": 4.4006235044319374e-05,
98
+ "loss": 0.0,
99
+ "step": 178026
100
+ },
101
+ {
102
+ "epoch": 6.0,
103
+ "eval_accuracy": 0.6318327974276527,
104
+ "eval_combined_score": 0.3159163987138264,
105
+ "eval_f1": 0.0,
106
+ "eval_loss": NaN,
107
+ "eval_runtime": 45.6649,
108
+ "eval_samples_per_second": 885.363,
109
+ "eval_steps_per_second": 3.46,
110
+ "step": 178026
111
+ },
112
+ {
113
+ "epoch": 6.0,
114
+ "step": 178026,
115
+ "total_flos": 5.676348900038935e+18,
116
+ "train_loss": 0.21557685426156767,
117
+ "train_runtime": 152441.456,
118
+ "train_samples_per_second": 2491.317,
119
+ "train_steps_per_second": 9.732
120
+ }
121
+ ],
122
+ "max_steps": 1483550,
123
+ "num_train_epochs": 50,
124
+ "total_flos": 5.676348900038935e+18,
125
+ "trial_name": null,
126
+ "trial_params": null
127
+ }