gokuls commited on
Commit
41edb41
·
1 Parent(s): 5200315

End of training

Browse files
Files changed (5) hide show
  1. README.md +5 -3
  2. all_results.json +14 -0
  3. eval_results.json +9 -0
  4. train_results.json +8 -0
  5. trainer_state.json +133 -0
README.md CHANGED
@@ -1,4 +1,6 @@
1
  ---
 
 
2
  base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
3
  tags:
4
  - generated_from_trainer
@@ -13,7 +15,7 @@ model-index:
13
  name: Text Classification
14
  type: text-classification
15
  dataset:
16
- name: glue
17
  type: glue
18
  config: sst2
19
  split: validation
@@ -29,9 +31,9 @@ should probably proofread and complete it, then remove this comment. -->
29
 
30
  # hBERTv1_new_pretrain_w_init_48_ver2_sst2
31
 
32
- This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the glue dataset.
33
  It achieves the following results on the evaluation set:
34
- - Loss: 0.7068
35
  - Accuracy: 0.5092
36
 
37
  ## Model description
 
1
  ---
2
+ language:
3
+ - en
4
  base_model: gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48
5
  tags:
6
  - generated_from_trainer
 
15
  name: Text Classification
16
  type: text-classification
17
  dataset:
18
+ name: GLUE SST2
19
  type: glue
20
  config: sst2
21
  split: validation
 
31
 
32
  # hBERTv1_new_pretrain_w_init_48_ver2_sst2
33
 
34
+ This model is a fine-tuned version of [gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48](https://huggingface.co/gokuls/bert_12_layer_model_v1_complete_training_new_wt_init_48) on the GLUE SST2 dataset.
35
  It achieves the following results on the evaluation set:
36
+ - Loss: 0.6941
37
  - Accuracy: 0.5092
38
 
39
  ## Model description
all_results.json ADDED
@@ -0,0 +1,14 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.0,
3
+ "eval_accuracy": 0.5091743119266054,
4
+ "eval_loss": 0.6941368579864502,
5
+ "eval_runtime": 4.4644,
6
+ "eval_samples": 872,
7
+ "eval_samples_per_second": 195.323,
8
+ "eval_steps_per_second": 3.136,
9
+ "train_loss": 0.6891914381131503,
10
+ "train_runtime": 7431.7212,
11
+ "train_samples": 67349,
12
+ "train_samples_per_second": 135.936,
13
+ "train_steps_per_second": 2.125
14
+ }
eval_results.json ADDED
@@ -0,0 +1,9 @@
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.0,
3
+ "eval_accuracy": 0.5091743119266054,
4
+ "eval_loss": 0.6941368579864502,
5
+ "eval_runtime": 4.4644,
6
+ "eval_samples": 872,
7
+ "eval_samples_per_second": 195.323,
8
+ "eval_steps_per_second": 3.136
9
+ }
train_results.json ADDED
@@ -0,0 +1,8 @@
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "epoch": 7.0,
3
+ "train_loss": 0.6891914381131503,
4
+ "train_runtime": 7431.7212,
5
+ "train_samples": 67349,
6
+ "train_samples_per_second": 135.936,
7
+ "train_steps_per_second": 2.125
8
+ }
trainer_state.json ADDED
@@ -0,0 +1,133 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "best_metric": 0.6941368579864502,
3
+ "best_model_checkpoint": "hBERTv1_new_pretrain_w_init_48_ver2_sst2/checkpoint-2106",
4
+ "epoch": 7.0,
5
+ "eval_steps": 500,
6
+ "global_step": 7371,
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
+ "learning_rate": 3.733333333333334e-05,
14
+ "loss": 0.6948,
15
+ "step": 1053
16
+ },
17
+ {
18
+ "epoch": 1.0,
19
+ "eval_accuracy": 0.5091743119266054,
20
+ "eval_loss": 0.694778561592102,
21
+ "eval_runtime": 4.5684,
22
+ "eval_samples_per_second": 190.875,
23
+ "eval_steps_per_second": 3.065,
24
+ "step": 1053
25
+ },
26
+ {
27
+ "epoch": 2.0,
28
+ "learning_rate": 3.466666666666667e-05,
29
+ "loss": 0.6927,
30
+ "step": 2106
31
+ },
32
+ {
33
+ "epoch": 2.0,
34
+ "eval_accuracy": 0.5091743119266054,
35
+ "eval_loss": 0.6941368579864502,
36
+ "eval_runtime": 4.5828,
37
+ "eval_samples_per_second": 190.278,
38
+ "eval_steps_per_second": 3.055,
39
+ "step": 2106
40
+ },
41
+ {
42
+ "epoch": 3.0,
43
+ "learning_rate": 3.2000000000000005e-05,
44
+ "loss": 0.6879,
45
+ "step": 3159
46
+ },
47
+ {
48
+ "epoch": 3.0,
49
+ "eval_accuracy": 0.5091743119266054,
50
+ "eval_loss": 0.7004609704017639,
51
+ "eval_runtime": 4.5708,
52
+ "eval_samples_per_second": 190.777,
53
+ "eval_steps_per_second": 3.063,
54
+ "step": 3159
55
+ },
56
+ {
57
+ "epoch": 4.0,
58
+ "learning_rate": 2.9333333333333333e-05,
59
+ "loss": 0.6873,
60
+ "step": 4212
61
+ },
62
+ {
63
+ "epoch": 4.0,
64
+ "eval_accuracy": 0.5091743119266054,
65
+ "eval_loss": 0.7004290819168091,
66
+ "eval_runtime": 4.5617,
67
+ "eval_samples_per_second": 191.157,
68
+ "eval_steps_per_second": 3.069,
69
+ "step": 4212
70
+ },
71
+ {
72
+ "epoch": 5.0,
73
+ "learning_rate": 2.6666666666666667e-05,
74
+ "loss": 0.6887,
75
+ "step": 5265
76
+ },
77
+ {
78
+ "epoch": 5.0,
79
+ "eval_accuracy": 0.5091743119266054,
80
+ "eval_loss": 0.7151248455047607,
81
+ "eval_runtime": 4.571,
82
+ "eval_samples_per_second": 190.768,
83
+ "eval_steps_per_second": 3.063,
84
+ "step": 5265
85
+ },
86
+ {
87
+ "epoch": 6.0,
88
+ "learning_rate": 2.4e-05,
89
+ "loss": 0.6871,
90
+ "step": 6318
91
+ },
92
+ {
93
+ "epoch": 6.0,
94
+ "eval_accuracy": 0.5091743119266054,
95
+ "eval_loss": 0.6974788308143616,
96
+ "eval_runtime": 4.576,
97
+ "eval_samples_per_second": 190.561,
98
+ "eval_steps_per_second": 3.059,
99
+ "step": 6318
100
+ },
101
+ {
102
+ "epoch": 7.0,
103
+ "learning_rate": 2.1333333333333335e-05,
104
+ "loss": 0.6859,
105
+ "step": 7371
106
+ },
107
+ {
108
+ "epoch": 7.0,
109
+ "eval_accuracy": 0.5091743119266054,
110
+ "eval_loss": 0.7067839503288269,
111
+ "eval_runtime": 4.581,
112
+ "eval_samples_per_second": 190.351,
113
+ "eval_steps_per_second": 3.056,
114
+ "step": 7371
115
+ },
116
+ {
117
+ "epoch": 7.0,
118
+ "step": 7371,
119
+ "total_flos": 6.981918485852979e+16,
120
+ "train_loss": 0.6891914381131503,
121
+ "train_runtime": 7431.7212,
122
+ "train_samples_per_second": 135.936,
123
+ "train_steps_per_second": 2.125
124
+ }
125
+ ],
126
+ "logging_steps": 1,
127
+ "max_steps": 15795,
128
+ "num_train_epochs": 15,
129
+ "save_steps": 500,
130
+ "total_flos": 6.981918485852979e+16,
131
+ "trial_name": null,
132
+ "trial_params": null
133
+ }