gokuls commited on
Commit
80803c3
1 Parent(s): b98487b

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: qnli
18
  split: validation
@@ -20,7 +22,7 @@ model-index:
20
  metrics:
21
  - name: Accuracy
22
  type: accuracy
23
- value: 0.5215083287570932
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_qnli
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: 0.6922
34
- - Accuracy: 0.5215
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 QNLI
18
  type: glue
19
  config: qnli
20
  split: validation
 
22
  metrics:
23
  - name: Accuracy
24
  type: accuracy
25
+ value: 0.528830313014827
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_qnli
32
 
33
+ This model is a fine-tuned version of [](https://huggingface.co/) on the GLUE QNLI dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.6899
36
+ - Accuracy: 0.5288
37
 
38
  ## Model description
39
 
all_results.json CHANGED
@@ -1,14 +1,14 @@
1
  {
2
- "epoch": 6.0,
3
- "eval_accuracy": 0.5053999633900788,
4
- "eval_loss": 0.6930387616157532,
5
- "eval_runtime": 8.4832,
6
  "eval_samples": 5463,
7
- "eval_samples_per_second": 643.979,
8
- "eval_steps_per_second": 5.069,
9
- "train_loss": 0.697838950555015,
10
- "train_runtime": 2914.3249,
11
  "train_samples": 104743,
12
- "train_samples_per_second": 1797.037,
13
- "train_steps_per_second": 14.051
14
  }
 
1
  {
2
+ "epoch": 9.0,
3
+ "eval_accuracy": 0.528830313014827,
4
+ "eval_loss": 0.6899052858352661,
5
+ "eval_runtime": 10.1354,
6
  "eval_samples": 5463,
7
+ "eval_samples_per_second": 539.0,
8
+ "eval_steps_per_second": 4.243,
9
+ "train_loss": 0.6946712540991512,
10
+ "train_runtime": 5581.0967,
11
  "train_samples": 104743,
12
+ "train_samples_per_second": 938.373,
13
+ "train_steps_per_second": 7.337
14
  }
eval_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "epoch": 6.0,
3
- "eval_accuracy": 0.5053999633900788,
4
- "eval_loss": 0.6930387616157532,
5
- "eval_runtime": 8.4832,
6
  "eval_samples": 5463,
7
- "eval_samples_per_second": 643.979,
8
- "eval_steps_per_second": 5.069
9
  }
 
1
  {
2
+ "epoch": 9.0,
3
+ "eval_accuracy": 0.528830313014827,
4
+ "eval_loss": 0.6899052858352661,
5
+ "eval_runtime": 10.1354,
6
  "eval_samples": 5463,
7
+ "eval_samples_per_second": 539.0,
8
+ "eval_steps_per_second": 4.243
9
  }
logs/events.out.tfevents.1686753111.serv-9219.1715196.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:9514a24dcd093dc5d3fe4c58a99670587563fe74dafbbdd395809ab4c640db6b
3
+ size 363
train_results.json CHANGED
@@ -1,8 +1,8 @@
1
  {
2
- "epoch": 6.0,
3
- "train_loss": 0.697838950555015,
4
- "train_runtime": 2914.3249,
5
  "train_samples": 104743,
6
- "train_samples_per_second": 1797.037,
7
- "train_steps_per_second": 14.051
8
  }
 
1
  {
2
+ "epoch": 9.0,
3
+ "train_loss": 0.6946712540991512,
4
+ "train_runtime": 5581.0967,
5
  "train_samples": 104743,
6
+ "train_samples_per_second": 938.373,
7
+ "train_steps_per_second": 7.337
8
  }
trainer_state.json CHANGED
@@ -1,115 +1,160 @@
1
  {
2
- "best_metric": 0.6930387616157532,
3
- "best_model_checkpoint": "add_BERT_no_pretrain_qnli/checkpoint-819",
4
- "epoch": 6.0,
5
- "global_step": 4914,
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": 0.0004900366300366301,
13
- "loss": 0.7205,
14
  "step": 819
15
  },
16
  {
17
  "epoch": 1.0,
18
  "eval_accuracy": 0.5053999633900788,
19
- "eval_loss": 0.6930387616157532,
20
- "eval_runtime": 8.5235,
21
- "eval_samples_per_second": 640.931,
22
- "eval_steps_per_second": 5.045,
23
  "step": 819
24
  },
25
  {
26
  "epoch": 2.0,
27
- "learning_rate": 0.00048003663003663005,
28
- "loss": 0.6935,
29
  "step": 1638
30
  },
31
  {
32
  "epoch": 2.0,
33
- "eval_accuracy": 0.5053999633900788,
34
- "eval_loss": 0.6930967569351196,
35
- "eval_runtime": 8.519,
36
- "eval_samples_per_second": 641.274,
37
- "eval_steps_per_second": 5.048,
38
  "step": 1638
39
  },
40
  {
41
  "epoch": 3.0,
42
- "learning_rate": 0.00047003663003663003,
43
- "loss": 0.6932,
44
  "step": 2457
45
  },
46
  {
47
  "epoch": 3.0,
48
- "eval_accuracy": 0.5053999633900788,
49
- "eval_loss": 0.6930704116821289,
50
- "eval_runtime": 8.5483,
51
- "eval_samples_per_second": 639.078,
52
- "eval_steps_per_second": 5.03,
53
  "step": 2457
54
  },
55
  {
56
  "epoch": 4.0,
57
- "learning_rate": 0.00046003663003663006,
58
- "loss": 0.6932,
59
  "step": 3276
60
  },
61
  {
62
  "epoch": 4.0,
63
- "eval_accuracy": 0.4946000366099213,
64
- "eval_loss": 0.6931969523429871,
65
- "eval_runtime": 8.5019,
66
- "eval_samples_per_second": 642.559,
67
- "eval_steps_per_second": 5.058,
68
  "step": 3276
69
  },
70
  {
71
  "epoch": 5.0,
72
- "learning_rate": 0.00045003663003663003,
73
- "loss": 0.6932,
74
  "step": 4095
75
  },
76
  {
77
  "epoch": 5.0,
78
- "eval_accuracy": 0.5053999633900788,
79
- "eval_loss": 0.6931020617485046,
80
- "eval_runtime": 8.5439,
81
- "eval_samples_per_second": 639.401,
82
- "eval_steps_per_second": 5.033,
83
  "step": 4095
84
  },
85
  {
86
  "epoch": 6.0,
87
- "learning_rate": 0.00044003663003663,
88
- "loss": 0.6935,
89
  "step": 4914
90
  },
91
  {
92
  "epoch": 6.0,
93
- "eval_accuracy": 0.5053999633900788,
94
- "eval_loss": 0.6933435797691345,
95
- "eval_runtime": 8.5341,
96
- "eval_samples_per_second": 640.137,
97
- "eval_steps_per_second": 5.039,
98
  "step": 4914
99
  },
100
  {
101
- "epoch": 6.0,
102
- "step": 4914,
103
- "total_flos": 8.975886795669504e+16,
104
- "train_loss": 0.697838950555015,
105
- "train_runtime": 2914.3249,
106
- "train_samples_per_second": 1797.037,
107
- "train_steps_per_second": 14.051
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
108
  }
109
  ],
110
  "max_steps": 40950,
111
  "num_train_epochs": 50,
112
- "total_flos": 8.975886795669504e+16,
113
  "trial_name": null,
114
  "trial_params": null
115
  }
 
1
  {
2
+ "best_metric": 0.6899052858352661,
3
+ "best_model_checkpoint": "add_BERT_no_pretrain_qnli/checkpoint-3276",
4
+ "epoch": 9.0,
5
+ "global_step": 7371,
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": 0.7079,
14
  "step": 819
15
  },
16
  {
17
  "epoch": 1.0,
18
  "eval_accuracy": 0.5053999633900788,
19
+ "eval_loss": 0.7209677696228027,
20
+ "eval_runtime": 10.2227,
21
+ "eval_samples_per_second": 534.4,
22
+ "eval_steps_per_second": 4.206,
23
  "step": 819
24
  },
25
  {
26
  "epoch": 2.0,
27
+ "learning_rate": 3.8400000000000005e-05,
28
+ "loss": 0.6952,
29
  "step": 1638
30
  },
31
  {
32
  "epoch": 2.0,
33
+ "eval_accuracy": 0.4946000366099213,
34
+ "eval_loss": 0.6911802291870117,
35
+ "eval_runtime": 10.2371,
36
+ "eval_samples_per_second": 533.649,
37
+ "eval_steps_per_second": 4.2,
38
  "step": 1638
39
  },
40
  {
41
  "epoch": 3.0,
42
+ "learning_rate": 3.76e-05,
43
+ "loss": 0.6922,
44
  "step": 2457
45
  },
46
  {
47
  "epoch": 3.0,
48
+ "eval_accuracy": 0.5279150649826103,
49
+ "eval_loss": 0.6905035972595215,
50
+ "eval_runtime": 10.231,
51
+ "eval_samples_per_second": 533.964,
52
+ "eval_steps_per_second": 4.203,
53
  "step": 2457
54
  },
55
  {
56
  "epoch": 4.0,
57
+ "learning_rate": 3.680000000000001e-05,
58
+ "loss": 0.6918,
59
  "step": 3276
60
  },
61
  {
62
  "epoch": 4.0,
63
+ "eval_accuracy": 0.528830313014827,
64
+ "eval_loss": 0.6899052858352661,
65
+ "eval_runtime": 10.2564,
66
+ "eval_samples_per_second": 532.644,
67
+ "eval_steps_per_second": 4.193,
68
  "step": 3276
69
  },
70
  {
71
  "epoch": 5.0,
72
+ "learning_rate": 3.6e-05,
73
+ "loss": 0.6922,
74
  "step": 4095
75
  },
76
  {
77
  "epoch": 5.0,
78
+ "eval_accuracy": 0.5152846421380194,
79
+ "eval_loss": 0.6922001838684082,
80
+ "eval_runtime": 10.2507,
81
+ "eval_samples_per_second": 532.941,
82
+ "eval_steps_per_second": 4.195,
83
  "step": 4095
84
  },
85
  {
86
  "epoch": 6.0,
87
+ "learning_rate": 3.52e-05,
88
+ "loss": 0.6933,
89
  "step": 4914
90
  },
91
  {
92
  "epoch": 6.0,
93
+ "eval_accuracy": 0.5127219476478125,
94
+ "eval_loss": 0.6926350593566895,
95
+ "eval_runtime": 10.2253,
96
+ "eval_samples_per_second": 534.263,
97
+ "eval_steps_per_second": 4.205,
98
  "step": 4914
99
  },
100
  {
101
+ "epoch": 7.0,
102
+ "learning_rate": 3.44e-05,
103
+ "loss": 0.6931,
104
+ "step": 5733
105
+ },
106
+ {
107
+ "epoch": 7.0,
108
+ "eval_accuracy": 0.4946000366099213,
109
+ "eval_loss": 0.6952403783798218,
110
+ "eval_runtime": 10.2187,
111
+ "eval_samples_per_second": 534.609,
112
+ "eval_steps_per_second": 4.208,
113
+ "step": 5733
114
+ },
115
+ {
116
+ "epoch": 8.0,
117
+ "learning_rate": 3.3600000000000004e-05,
118
+ "loss": 0.6933,
119
+ "step": 6552
120
+ },
121
+ {
122
+ "epoch": 8.0,
123
+ "eval_accuracy": 0.5112575507962658,
124
+ "eval_loss": 0.6927889585494995,
125
+ "eval_runtime": 10.2381,
126
+ "eval_samples_per_second": 533.597,
127
+ "eval_steps_per_second": 4.2,
128
+ "step": 6552
129
+ },
130
+ {
131
+ "epoch": 9.0,
132
+ "learning_rate": 3.28e-05,
133
+ "loss": 0.693,
134
+ "step": 7371
135
+ },
136
+ {
137
+ "epoch": 9.0,
138
+ "eval_accuracy": 0.5215083287570932,
139
+ "eval_loss": 0.6921678781509399,
140
+ "eval_runtime": 10.2872,
141
+ "eval_samples_per_second": 531.048,
142
+ "eval_steps_per_second": 4.18,
143
+ "step": 7371
144
+ },
145
+ {
146
+ "epoch": 9.0,
147
+ "step": 7371,
148
+ "total_flos": 1.3463830193504256e+17,
149
+ "train_loss": 0.6946712540991512,
150
+ "train_runtime": 5581.0967,
151
+ "train_samples_per_second": 938.373,
152
+ "train_steps_per_second": 7.337
153
  }
154
  ],
155
  "max_steps": 40950,
156
  "num_train_epochs": 50,
157
+ "total_flos": 1.3463830193504256e+17,
158
  "trial_name": null,
159
  "trial_params": null
160
  }