gokulsrinivasagan commited on
Commit
82f56ca
1 Parent(s): eae3170

End of training

Browse files
README.md CHANGED
@@ -1,13 +1,28 @@
1
  ---
2
  library_name: transformers
 
 
3
  base_model: gokulsrinivasagan/distilbert_lda_50_v1
4
  tags:
5
  - generated_from_trainer
 
 
6
  metrics:
7
  - accuracy
8
  model-index:
9
  - name: distilbert_lda_50_v1_qnli
10
- results: []
 
 
 
 
 
 
 
 
 
 
 
11
  ---
12
 
13
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,10 +30,10 @@ should probably proofread and complete it, then remove this comment. -->
15
 
16
  # distilbert_lda_50_v1_qnli
17
 
18
- This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_50_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_50_v1) on an unknown dataset.
19
  It achieves the following results on the evaluation set:
20
- - Loss: 0.6988
21
- - Accuracy: 0.7974
22
 
23
  ## Model description
24
 
 
1
  ---
2
  library_name: transformers
3
+ language:
4
+ - en
5
  base_model: gokulsrinivasagan/distilbert_lda_50_v1
6
  tags:
7
  - generated_from_trainer
8
+ datasets:
9
+ - glue
10
  metrics:
11
  - accuracy
12
  model-index:
13
  - name: distilbert_lda_50_v1_qnli
14
+ results:
15
+ - task:
16
+ name: Text Classification
17
+ type: text-classification
18
+ dataset:
19
+ name: GLUE QNLI
20
+ type: glue
21
+ args: qnli
22
+ metrics:
23
+ - name: Accuracy
24
+ type: accuracy
25
+ value: 0.8211605345048508
26
  ---
27
 
28
  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
30
 
31
  # distilbert_lda_50_v1_qnli
32
 
33
+ This model is a fine-tuned version of [gokulsrinivasagan/distilbert_lda_50_v1](https://huggingface.co/gokulsrinivasagan/distilbert_lda_50_v1) on the GLUE QNLI dataset.
34
  It achieves the following results on the evaluation set:
35
+ - Loss: 0.4075
36
+ - Accuracy: 0.8212
37
 
38
  ## Model description
39
 
all_results.json CHANGED
@@ -1,15 +1,15 @@
1
  {
2
- "epoch": 6.0,
3
- "eval_accuracy": 0.5053999633900788,
4
- "eval_loss": 0.6933382749557495,
5
- "eval_runtime": 2.2772,
6
  "eval_samples": 5463,
7
- "eval_samples_per_second": 2398.986,
8
- "eval_steps_per_second": 9.661,
9
- "total_flos": 4.162509821227622e+16,
10
- "train_loss": 0.6984581427845529,
11
- "train_runtime": 603.2834,
12
  "train_samples": 104743,
13
- "train_samples_per_second": 8681.077,
14
- "train_steps_per_second": 33.981
15
  }
 
1
  {
2
+ "epoch": 7.0,
3
+ "eval_accuracy": 0.8211605345048508,
4
+ "eval_loss": 0.40745484828948975,
5
+ "eval_runtime": 2.3058,
6
  "eval_samples": 5463,
7
+ "eval_samples_per_second": 2369.211,
8
+ "eval_steps_per_second": 9.541,
9
+ "total_flos": 4.856261458098893e+16,
10
+ "train_loss": 0.2814387039025071,
11
+ "train_runtime": 709.1788,
12
  "train_samples": 104743,
13
+ "train_samples_per_second": 7384.809,
14
+ "train_steps_per_second": 28.907
15
  }
eval_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "epoch": 6.0,
3
- "eval_accuracy": 0.5053999633900788,
4
- "eval_loss": 0.6933382749557495,
5
- "eval_runtime": 2.2772,
6
  "eval_samples": 5463,
7
- "eval_samples_per_second": 2398.986,
8
- "eval_steps_per_second": 9.661
9
  }
 
1
  {
2
+ "epoch": 7.0,
3
+ "eval_accuracy": 0.8211605345048508,
4
+ "eval_loss": 0.40745484828948975,
5
+ "eval_runtime": 2.3058,
6
  "eval_samples": 5463,
7
+ "eval_samples_per_second": 2369.211,
8
+ "eval_steps_per_second": 9.541
9
  }
logs/events.out.tfevents.1733310363.ki-g0008.1206436.5 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:1f967565ea007541f9f7b555af6efc5f6e1038f888a637cc0dfae0287f1d46c5
3
+ size 411
train_results.json CHANGED
@@ -1,9 +1,9 @@
1
  {
2
- "epoch": 6.0,
3
- "total_flos": 4.162509821227622e+16,
4
- "train_loss": 0.6984581427845529,
5
- "train_runtime": 603.2834,
6
  "train_samples": 104743,
7
- "train_samples_per_second": 8681.077,
8
- "train_steps_per_second": 33.981
9
  }
 
1
  {
2
+ "epoch": 7.0,
3
+ "total_flos": 4.856261458098893e+16,
4
+ "train_loss": 0.2814387039025071,
5
+ "train_runtime": 709.1788,
6
  "train_samples": 104743,
7
+ "train_samples_per_second": 7384.809,
8
+ "train_steps_per_second": 28.907
9
  }
trainer_state.json CHANGED
@@ -1,117 +1,133 @@
1
  {
2
- "best_metric": 0.6933382749557495,
3
- "best_model_checkpoint": "distilbert_lda_50_v1_qnli/checkpoint-410",
4
- "epoch": 6.0,
5
  "eval_steps": 500,
6
- "global_step": 2460,
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
- "grad_norm": 0.1270582526922226,
14
- "learning_rate": 0.00098,
15
- "loss": 0.7249,
16
  "step": 410
17
  },
18
  {
19
  "epoch": 1.0,
20
- "eval_accuracy": 0.5053999633900788,
21
- "eval_loss": 0.6933382749557495,
22
- "eval_runtime": 2.2691,
23
- "eval_samples_per_second": 2407.557,
24
- "eval_steps_per_second": 9.695,
25
  "step": 410
26
  },
27
  {
28
  "epoch": 2.0,
29
- "grad_norm": 0.09046493470668793,
30
- "learning_rate": 0.00096,
31
- "loss": 0.6932,
32
  "step": 820
33
  },
34
  {
35
  "epoch": 2.0,
36
- "eval_accuracy": 0.5053999633900788,
37
- "eval_loss": 0.6933382749557495,
38
- "eval_runtime": 2.2549,
39
- "eval_samples_per_second": 2422.742,
40
- "eval_steps_per_second": 9.757,
41
  "step": 820
42
  },
43
  {
44
  "epoch": 3.0,
45
- "grad_norm": 0.1270582526922226,
46
- "learning_rate": 0.00094,
47
- "loss": 0.6933,
48
  "step": 1230
49
  },
50
  {
51
  "epoch": 3.0,
52
- "eval_accuracy": 0.5053999633900788,
53
- "eval_loss": 0.6933382749557495,
54
- "eval_runtime": 2.2708,
55
- "eval_samples_per_second": 2405.723,
56
- "eval_steps_per_second": 9.688,
57
  "step": 1230
58
  },
59
  {
60
  "epoch": 4.0,
61
- "grad_norm": 0.018296407535672188,
62
- "learning_rate": 0.00092,
63
- "loss": 0.6931,
64
  "step": 1640
65
  },
66
  {
67
  "epoch": 4.0,
68
- "eval_accuracy": 0.5053999633900788,
69
- "eval_loss": 0.6933382749557495,
70
- "eval_runtime": 2.3027,
71
- "eval_samples_per_second": 2372.391,
72
- "eval_steps_per_second": 9.554,
73
  "step": 1640
74
  },
75
  {
76
  "epoch": 5.0,
77
- "grad_norm": 0.047665297985076904,
78
- "learning_rate": 0.0009000000000000001,
79
- "loss": 0.6932,
80
  "step": 2050
81
  },
82
  {
83
  "epoch": 5.0,
84
- "eval_accuracy": 0.4946000366099213,
85
- "eval_loss": 0.6934648156166077,
86
- "eval_runtime": 2.2699,
87
- "eval_samples_per_second": 2406.754,
88
- "eval_steps_per_second": 9.692,
89
  "step": 2050
90
  },
91
  {
92
  "epoch": 6.0,
93
- "grad_norm": 0.05455218255519867,
94
- "learning_rate": 0.00088,
95
- "loss": 0.6932,
96
  "step": 2460
97
  },
98
  {
99
  "epoch": 6.0,
100
- "eval_accuracy": 0.5053999633900788,
101
- "eval_loss": 0.6933382749557495,
102
- "eval_runtime": 2.2812,
103
- "eval_samples_per_second": 2394.742,
104
- "eval_steps_per_second": 9.644,
105
  "step": 2460
106
  },
107
  {
108
- "epoch": 6.0,
109
- "step": 2460,
110
- "total_flos": 4.162509821227622e+16,
111
- "train_loss": 0.6984581427845529,
112
- "train_runtime": 603.2834,
113
- "train_samples_per_second": 8681.077,
114
- "train_steps_per_second": 33.981
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
115
  }
116
  ],
117
  "logging_steps": 1,
@@ -140,7 +156,7 @@
140
  "attributes": {}
141
  }
142
  },
143
- "total_flos": 4.162509821227622e+16,
144
  "train_batch_size": 256,
145
  "trial_name": null,
146
  "trial_params": null
 
1
  {
2
+ "best_metric": 0.40745484828948975,
3
+ "best_model_checkpoint": "distilbert_lda_50_v1_qnli/checkpoint-820",
4
+ "epoch": 7.0,
5
  "eval_steps": 500,
6
+ "global_step": 2870,
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
+ "grad_norm": 3.832184076309204,
14
+ "learning_rate": 4.9e-05,
15
+ "loss": 0.5532,
16
  "step": 410
17
  },
18
  {
19
  "epoch": 1.0,
20
+ "eval_accuracy": 0.7627677100494233,
21
+ "eval_loss": 0.5176936984062195,
22
+ "eval_runtime": 2.289,
23
+ "eval_samples_per_second": 2386.653,
24
+ "eval_steps_per_second": 9.611,
25
  "step": 410
26
  },
27
  {
28
  "epoch": 2.0,
29
+ "grad_norm": 3.9373576641082764,
30
+ "learning_rate": 4.8e-05,
31
+ "loss": 0.4263,
32
  "step": 820
33
  },
34
  {
35
  "epoch": 2.0,
36
+ "eval_accuracy": 0.8211605345048508,
37
+ "eval_loss": 0.40745484828948975,
38
+ "eval_runtime": 2.2919,
39
+ "eval_samples_per_second": 2383.66,
40
+ "eval_steps_per_second": 9.599,
41
  "step": 820
42
  },
43
  {
44
  "epoch": 3.0,
45
+ "grad_norm": 4.5357537269592285,
46
+ "learning_rate": 4.7e-05,
47
+ "loss": 0.3371,
48
  "step": 1230
49
  },
50
  {
51
  "epoch": 3.0,
52
+ "eval_accuracy": 0.8132894014277869,
53
+ "eval_loss": 0.4168780446052551,
54
+ "eval_runtime": 2.3267,
55
+ "eval_samples_per_second": 2347.919,
56
+ "eval_steps_per_second": 9.455,
57
  "step": 1230
58
  },
59
  {
60
  "epoch": 4.0,
61
+ "grad_norm": 5.284133434295654,
62
+ "learning_rate": 4.600000000000001e-05,
63
+ "loss": 0.2505,
64
  "step": 1640
65
  },
66
  {
67
  "epoch": 4.0,
68
+ "eval_accuracy": 0.8116419549697969,
69
+ "eval_loss": 0.4765816330909729,
70
+ "eval_runtime": 2.3197,
71
+ "eval_samples_per_second": 2355.085,
72
+ "eval_steps_per_second": 9.484,
73
  "step": 1640
74
  },
75
  {
76
  "epoch": 5.0,
77
+ "grad_norm": 4.09841251373291,
78
+ "learning_rate": 4.5e-05,
79
+ "loss": 0.18,
80
  "step": 2050
81
  },
82
  {
83
  "epoch": 5.0,
84
+ "eval_accuracy": 0.7940691927512356,
85
+ "eval_loss": 0.6080189943313599,
86
+ "eval_runtime": 2.3468,
87
+ "eval_samples_per_second": 2327.804,
88
+ "eval_steps_per_second": 9.374,
89
  "step": 2050
90
  },
91
  {
92
  "epoch": 6.0,
93
+ "grad_norm": 5.979333400726318,
94
+ "learning_rate": 4.4000000000000006e-05,
95
+ "loss": 0.1275,
96
  "step": 2460
97
  },
98
  {
99
  "epoch": 6.0,
100
+ "eval_accuracy": 0.8120080541826835,
101
+ "eval_loss": 0.676863431930542,
102
+ "eval_runtime": 2.307,
103
+ "eval_samples_per_second": 2368.062,
104
+ "eval_steps_per_second": 9.536,
105
  "step": 2460
106
  },
107
  {
108
+ "epoch": 7.0,
109
+ "grad_norm": 2.858701467514038,
110
+ "learning_rate": 4.3e-05,
111
+ "loss": 0.0953,
112
+ "step": 2870
113
+ },
114
+ {
115
+ "epoch": 7.0,
116
+ "eval_accuracy": 0.7973640856672158,
117
+ "eval_loss": 0.6988027095794678,
118
+ "eval_runtime": 2.35,
119
+ "eval_samples_per_second": 2324.65,
120
+ "eval_steps_per_second": 9.362,
121
+ "step": 2870
122
+ },
123
+ {
124
+ "epoch": 7.0,
125
+ "step": 2870,
126
+ "total_flos": 4.856261458098893e+16,
127
+ "train_loss": 0.2814387039025071,
128
+ "train_runtime": 709.1788,
129
+ "train_samples_per_second": 7384.809,
130
+ "train_steps_per_second": 28.907
131
  }
132
  ],
133
  "logging_steps": 1,
 
156
  "attributes": {}
157
  }
158
  },
159
+ "total_flos": 4.856261458098893e+16,
160
  "train_batch_size": 256,
161
  "trial_name": null,
162
  "trial_params": null