gokuls commited on
Commit
5751bf9
·
1 Parent(s): 68a48a4

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: mnli
18
  split: validation_matched
@@ -20,7 +22,7 @@ model-index:
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
- value: 0.3273560876209883
24
  ---
25
 
26
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
28
 
29
  # add_BERT_no_pretrain_mnli
30
 
31
- This model is a fine-tuned version of [](https://huggingface.co/) on the glue dataset.
32
  It achieves the following results on the evaluation set:
33
- - Loss: 1.0986
34
- - Accuracy: 0.3274
35
 
36
  ## Model description
37
 
 
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 MNLI
18
  type: glue
19
  config: mnli
20
  split: validation_matched
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.3522172497965826
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # add_BERT_no_pretrain_mnli
32
 
33
+ This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE MNLI dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 1.0984
36
+ - Accuracy: 0.3522
37
 
38
  ## Model description
39
 
all_results.json CHANGED
@@ -1,21 +1,21 @@
1
  {
2
- "epoch": 9.0,
3
- "epoch_mm": 9.0,
4
  "eval_accuracy": 0.3544574630667346,
5
  "eval_accuracy_mm": 0.3522172497965826,
6
- "eval_loss": 1.0981897115707397,
7
- "eval_loss_mm": 1.0982112884521484,
8
- "eval_runtime": 15.2403,
9
- "eval_runtime_mm": 15.2786,
10
  "eval_samples": 9815,
11
  "eval_samples_mm": 9832,
12
- "eval_samples_per_second": 644.018,
13
- "eval_samples_per_second_mm": 643.512,
14
- "eval_steps_per_second": 5.052,
15
- "eval_steps_per_second_mm": 5.04,
16
- "train_loss": 1.0999290425415127,
17
- "train_runtime": 15619.8279,
18
  "train_samples": 392702,
19
- "train_samples_per_second": 1257.063,
20
- "train_steps_per_second": 9.821
21
  }
 
1
  {
2
+ "epoch": 8.0,
3
+ "epoch_mm": 8.0,
4
  "eval_accuracy": 0.3544574630667346,
5
  "eval_accuracy_mm": 0.3522172497965826,
6
+ "eval_loss": 1.0984020233154297,
7
+ "eval_loss_mm": 1.0984286069869995,
8
+ "eval_runtime": 18.1962,
9
+ "eval_runtime_mm": 18.2805,
10
  "eval_samples": 9815,
11
  "eval_samples_mm": 9832,
12
+ "eval_samples_per_second": 539.398,
13
+ "eval_samples_per_second_mm": 537.841,
14
+ "eval_steps_per_second": 4.232,
15
+ "eval_steps_per_second_mm": 4.212,
16
+ "train_loss": 1.0992557968278907,
17
+ "train_runtime": 17750.054,
18
  "train_samples": 392702,
19
+ "train_samples_per_second": 1106.199,
20
+ "train_steps_per_second": 8.642
21
  }
eval_results.json CHANGED
@@ -1,16 +1,16 @@
1
  {
2
- "epoch": 9.0,
3
- "epoch_mm": 9.0,
4
  "eval_accuracy": 0.3544574630667346,
5
  "eval_accuracy_mm": 0.3522172497965826,
6
- "eval_loss": 1.0981897115707397,
7
- "eval_loss_mm": 1.0982112884521484,
8
- "eval_runtime": 15.2403,
9
- "eval_runtime_mm": 15.2786,
10
  "eval_samples": 9815,
11
  "eval_samples_mm": 9832,
12
- "eval_samples_per_second": 644.018,
13
- "eval_samples_per_second_mm": 643.512,
14
- "eval_steps_per_second": 5.052,
15
- "eval_steps_per_second_mm": 5.04
16
  }
 
1
  {
2
+ "epoch": 8.0,
3
+ "epoch_mm": 8.0,
4
  "eval_accuracy": 0.3544574630667346,
5
  "eval_accuracy_mm": 0.3522172497965826,
6
+ "eval_loss": 1.0984020233154297,
7
+ "eval_loss_mm": 1.0984286069869995,
8
+ "eval_runtime": 18.1962,
9
+ "eval_runtime_mm": 18.2805,
10
  "eval_samples": 9815,
11
  "eval_samples_mm": 9832,
12
+ "eval_samples_per_second": 539.398,
13
+ "eval_samples_per_second_mm": 537.841,
14
+ "eval_steps_per_second": 4.232,
15
+ "eval_steps_per_second_mm": 4.212
16
  }
logs/events.out.tfevents.1686796314.serv-9219.1715196.17 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:6648e4cd32a27aaf8d4d65832f6577f23240a9b6acd75a51c324bd4bbb29491b
3
+ size 698
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 9.0,
3
- "train_loss": 1.0999290425415127,
4
- "train_runtime": 15619.8279,
5
  "train_samples": 392702,
6
- "train_samples_per_second": 1257.063,
7
- "train_steps_per_second": 9.821
8
  }
 
1
  {
2
+ "epoch": 8.0,
3
+ "train_loss": 1.0992557968278907,
4
+ "train_runtime": 17750.054,
5
  "train_samples": 392702,
6
+ "train_samples_per_second": 1106.199,
7
+ "train_steps_per_second": 8.642
8
  }
trainer_state.json CHANGED
@@ -1,160 +1,145 @@
1
  {
2
- "best_metric": 1.0981897115707397,
3
- "best_model_checkpoint": "add_BERT_no_pretrain_mnli/checkpoint-12272",
4
- "epoch": 9.0,
5
- "global_step": 27612,
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": 0.000490006518904824,
13
- "loss": 1.1062,
14
  "step": 3068
15
  },
16
  {
17
  "epoch": 1.0,
18
- "eval_accuracy": 0.3544574630667346,
19
- "eval_loss": 1.0982247591018677,
20
- "eval_runtime": 15.2821,
21
- "eval_samples_per_second": 642.254,
22
- "eval_steps_per_second": 5.039,
23
  "step": 3068
24
  },
25
  {
26
  "epoch": 2.0,
27
- "learning_rate": 0.000480006518904824,
28
- "loss": 1.0987,
29
  "step": 6136
30
  },
31
  {
32
  "epoch": 2.0,
33
- "eval_accuracy": 0.31818644931227713,
34
- "eval_loss": 1.0985891819000244,
35
- "eval_runtime": 15.3034,
36
- "eval_samples_per_second": 641.359,
37
- "eval_steps_per_second": 5.032,
38
  "step": 6136
39
  },
40
  {
41
  "epoch": 3.0,
42
- "learning_rate": 0.000470009778357236,
43
- "loss": 1.0987,
44
  "step": 9204
45
  },
46
  {
47
  "epoch": 3.0,
48
- "eval_accuracy": 0.3273560876209883,
49
- "eval_loss": 1.0984275341033936,
50
- "eval_runtime": 15.2993,
51
- "eval_samples_per_second": 641.531,
52
- "eval_steps_per_second": 5.033,
53
  "step": 9204
54
  },
55
  {
56
  "epoch": 4.0,
57
- "learning_rate": 0.000460009778357236,
58
- "loss": 1.0986,
59
  "step": 12272
60
  },
61
  {
62
  "epoch": 4.0,
63
  "eval_accuracy": 0.3544574630667346,
64
- "eval_loss": 1.0981897115707397,
65
- "eval_runtime": 15.3289,
66
- "eval_samples_per_second": 640.295,
67
- "eval_steps_per_second": 5.023,
68
  "step": 12272
69
  },
70
  {
71
  "epoch": 5.0,
72
- "learning_rate": 0.00045001629726206,
73
  "loss": 1.0986,
74
  "step": 15340
75
  },
76
  {
77
  "epoch": 5.0,
78
  "eval_accuracy": 0.3544574630667346,
79
- "eval_loss": 1.0984646081924438,
80
- "eval_runtime": 15.31,
81
- "eval_samples_per_second": 641.085,
82
- "eval_steps_per_second": 5.029,
83
  "step": 15340
84
  },
85
  {
86
  "epoch": 6.0,
87
- "learning_rate": 0.000440019556714472,
88
- "loss": 1.0986,
89
  "step": 18408
90
  },
91
  {
92
  "epoch": 6.0,
93
  "eval_accuracy": 0.3273560876209883,
94
- "eval_loss": 1.0983835458755493,
95
- "eval_runtime": 15.3104,
96
- "eval_samples_per_second": 641.066,
97
- "eval_steps_per_second": 5.029,
98
  "step": 18408
99
  },
100
  {
101
  "epoch": 7.0,
102
- "learning_rate": 0.0004305704041720991,
103
- "loss": 1.0991,
104
  "step": 21476
105
  },
106
  {
107
  "epoch": 7.0,
108
- "eval_accuracy": 0.3544574630667346,
109
- "eval_loss": NaN,
110
- "eval_runtime": 15.3384,
111
- "eval_samples_per_second": 639.896,
112
- "eval_steps_per_second": 5.02,
113
  "step": 21476
114
  },
115
  {
116
  "epoch": 8.0,
117
- "learning_rate": 0.00042057040417209905,
118
- "loss": 1.1004,
119
  "step": 24544
120
  },
121
  {
122
  "epoch": 8.0,
123
- "eval_accuracy": 0.3544574630667346,
124
- "eval_loss": NaN,
125
- "eval_runtime": 15.2542,
126
- "eval_samples_per_second": 643.43,
127
- "eval_steps_per_second": 5.048,
128
  "step": 24544
129
  },
130
  {
131
- "epoch": 9.0,
132
- "learning_rate": 0.00041057040417209913,
133
- "loss": 1.1004,
134
- "step": 27612
135
- },
136
- {
137
- "epoch": 9.0,
138
- "eval_accuracy": 0.3544574630667346,
139
- "eval_loss": NaN,
140
- "eval_runtime": 15.3198,
141
- "eval_samples_per_second": 640.675,
142
- "eval_steps_per_second": 5.026,
143
- "step": 27612
144
- },
145
- {
146
- "epoch": 9.0,
147
- "step": 27612,
148
- "total_flos": 5.0478948198383616e+17,
149
- "train_loss": 1.0999290425415127,
150
- "train_runtime": 15619.8279,
151
- "train_samples_per_second": 1257.063,
152
- "train_steps_per_second": 9.821
153
  }
154
  ],
155
  "max_steps": 153400,
156
  "num_train_epochs": 50,
157
- "total_flos": 5.0478948198383616e+17,
158
  "trial_name": null,
159
  "trial_params": null
160
  }
 
1
  {
2
+ "best_metric": 1.0984020233154297,
3
+ "best_model_checkpoint": "add_BERT_no_pretrain_mnli/checkpoint-9204",
4
+ "epoch": 8.0,
5
+ "global_step": 24544,
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": 1.1024,
14
  "step": 3068
15
  },
16
  {
17
  "epoch": 1.0,
18
+ "eval_accuracy": 0.31818644931227713,
19
+ "eval_loss": 1.0987340211868286,
20
+ "eval_runtime": 18.3205,
21
+ "eval_samples_per_second": 535.74,
22
+ "eval_steps_per_second": 4.203,
23
  "step": 3068
24
  },
25
  {
26
  "epoch": 2.0,
27
+ "learning_rate": 3.8400000000000005e-05,
28
+ "loss": 1.0997,
29
  "step": 6136
30
  },
31
  {
32
  "epoch": 2.0,
33
+ "eval_accuracy": 0.3273560876209883,
34
+ "eval_loss": 1.0985723733901978,
35
+ "eval_runtime": 18.3326,
36
+ "eval_samples_per_second": 535.385,
37
+ "eval_steps_per_second": 4.2,
38
  "step": 6136
39
  },
40
  {
41
  "epoch": 3.0,
42
+ "learning_rate": 3.76e-05,
43
+ "loss": 1.0988,
44
  "step": 9204
45
  },
46
  {
47
  "epoch": 3.0,
48
+ "eval_accuracy": 0.3544574630667346,
49
+ "eval_loss": 1.0984020233154297,
50
+ "eval_runtime": 18.3176,
51
+ "eval_samples_per_second": 535.823,
52
+ "eval_steps_per_second": 4.204,
53
  "step": 9204
54
  },
55
  {
56
  "epoch": 4.0,
57
+ "learning_rate": 3.680000000000001e-05,
58
+ "loss": 1.0987,
59
  "step": 12272
60
  },
61
  {
62
  "epoch": 4.0,
63
  "eval_accuracy": 0.3544574630667346,
64
+ "eval_loss": 1.0986018180847168,
65
+ "eval_runtime": 18.4288,
66
+ "eval_samples_per_second": 532.589,
67
+ "eval_steps_per_second": 4.178,
68
  "step": 12272
69
  },
70
  {
71
  "epoch": 5.0,
72
+ "learning_rate": 3.6e-05,
73
  "loss": 1.0986,
74
  "step": 15340
75
  },
76
  {
77
  "epoch": 5.0,
78
  "eval_accuracy": 0.3544574630667346,
79
+ "eval_loss": 1.0985984802246094,
80
+ "eval_runtime": 18.4293,
81
+ "eval_samples_per_second": 532.575,
82
+ "eval_steps_per_second": 4.178,
83
  "step": 15340
84
  },
85
  {
86
  "epoch": 6.0,
87
+ "learning_rate": 3.52e-05,
88
+ "loss": 1.0987,
89
  "step": 18408
90
  },
91
  {
92
  "epoch": 6.0,
93
  "eval_accuracy": 0.3273560876209883,
94
+ "eval_loss": 1.098618745803833,
95
+ "eval_runtime": 18.4765,
96
+ "eval_samples_per_second": 531.214,
97
+ "eval_steps_per_second": 4.167,
98
  "step": 18408
99
  },
100
  {
101
  "epoch": 7.0,
102
+ "learning_rate": 3.44e-05,
103
+ "loss": 1.0986,
104
  "step": 21476
105
  },
106
  {
107
  "epoch": 7.0,
108
+ "eval_accuracy": 0.3273560876209883,
109
+ "eval_loss": 1.098617434501648,
110
+ "eval_runtime": 18.4088,
111
+ "eval_samples_per_second": 533.17,
112
+ "eval_steps_per_second": 4.183,
113
  "step": 21476
114
  },
115
  {
116
  "epoch": 8.0,
117
+ "learning_rate": 3.3600000000000004e-05,
118
+ "loss": 1.0986,
119
  "step": 24544
120
  },
121
  {
122
  "epoch": 8.0,
123
+ "eval_accuracy": 0.3273560876209883,
124
+ "eval_loss": 1.0986160039901733,
125
+ "eval_runtime": 18.373,
126
+ "eval_samples_per_second": 534.207,
127
+ "eval_steps_per_second": 4.191,
128
  "step": 24544
129
  },
130
  {
131
+ "epoch": 8.0,
132
+ "step": 24544,
133
+ "total_flos": 4.487017617634099e+17,
134
+ "train_loss": 1.0992557968278907,
135
+ "train_runtime": 17750.054,
136
+ "train_samples_per_second": 1106.199,
137
+ "train_steps_per_second": 8.642
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
138
  }
139
  ],
140
  "max_steps": 153400,
141
  "num_train_epochs": 50,
142
+ "total_flos": 4.487017617634099e+17,
143
  "trial_name": null,
144
  "trial_params": null
145
  }