gokuls commited on
Commit
dce5e19
1 Parent(s): c8a034c

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
@@ -28,9 +30,9 @@ 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: 0.6933
34
  - Accuracy: 0.5054
35
 
36
  ## Model description
 
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
 
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: 0.6930
36
  - Accuracy: 0.5054
37
 
38
  ## Model description
all_results.json ADDED
@@ -0,0 +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
+ }
eval_results.json ADDED
@@ -0,0 +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
+ }
logs/events.out.tfevents.1685340641.serv-9215.1440072.8 ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
2
+ oid sha256:93c461ef7d9da38ee4e1b42ce41d4049f940ca99bfdef7b25adf8eeda1594549
3
+ size 363
train_results.json ADDED
@@ -0,0 +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
+ }
trainer_state.json ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
+ }