Hugging Face's logo

dkqjrm
/
20230824002458

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
dkqjrm commited on
Commit
7e6f137
•
1 Parent(s): dc5c664

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +120 -0
README.md ADDED
@@ -0,0 +1,120 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ datasets:
6
+ - super_glue
7
+ metrics:
8
+ - accuracy
9
+ model-index:
10
+ - name: '20230824002458'
11
+ results: []
12
+ ---
13
+
14
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
15
+ should probably proofread and complete it, then remove this comment. -->
16
+
17
+ # 20230824002458
18
+
19
+ This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.0768
22
+ - Accuracy: 0.7112
23
+
24
+ ## Model description
25
+
26
+ More information needed
27
+
28
+ ## Intended uses & limitations
29
+
30
+ More information needed
31
+
32
+ ## Training and evaluation data
33
+
34
+ More information needed
35
+
36
+ ## Training procedure
37
+
38
+ ### Training hyperparameters
39
+
40
+ The following hyperparameters were used during training:
41
+ - learning_rate: 0.003
42
+ - train_batch_size: 4
43
+ - eval_batch_size: 8
44
+ - seed: 11
45
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
46
+ - lr_scheduler_type: linear
47
+ - num_epochs: 60.0
48
+
49
+ ### Training results
50
+
51
+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
52
+ |:-------------:|:-----:|:-----:|:---------------:|:--------:|
53
+ | 0.4042 | 1.0 | 623 | 0.3862 | 0.5271 |
54
+ | 0.3203 | 2.0 | 1246 | 1.0958 | 0.4729 |
55
+ | 0.3087 | 3.0 | 1869 | 0.5979 | 0.4729 |
56
+ | 0.2723 | 4.0 | 2492 | 0.1618 | 0.5271 |
57
+ | 0.2635 | 5.0 | 3115 | 0.2704 | 0.5343 |
58
+ | 0.2826 | 6.0 | 3738 | 0.3245 | 0.4729 |
59
+ | 0.2663 | 7.0 | 4361 | 0.2230 | 0.5957 |
60
+ | 0.2562 | 8.0 | 4984 | 0.1453 | 0.6390 |
61
+ | 0.2259 | 9.0 | 5607 | 0.1312 | 0.6282 |
62
+ | 0.1806 | 10.0 | 6230 | 0.1118 | 0.7148 |
63
+ | 0.1525 | 11.0 | 6853 | 0.1076 | 0.6787 |
64
+ | 0.1509 | 12.0 | 7476 | 0.1241 | 0.6643 |
65
+ | 0.149 | 13.0 | 8099 | 0.1158 | 0.6931 |
66
+ | 0.1509 | 14.0 | 8722 | 0.1154 | 0.7040 |
67
+ | 0.1397 | 15.0 | 9345 | 0.1096 | 0.6823 |
68
+ | 0.1311 | 16.0 | 9968 | 0.0999 | 0.6751 |
69
+ | 0.13 | 17.0 | 10591 | 0.0986 | 0.6968 |
70
+ | 0.1244 | 18.0 | 11214 | 0.1063 | 0.6895 |
71
+ | 0.1278 | 19.0 | 11837 | 0.1229 | 0.6931 |
72
+ | 0.1228 | 20.0 | 12460 | 0.0905 | 0.7112 |
73
+ | 0.1153 | 21.0 | 13083 | 0.0916 | 0.7004 |
74
+ | 0.1171 | 22.0 | 13706 | 0.1085 | 0.7148 |
75
+ | 0.1179 | 23.0 | 14329 | 0.1101 | 0.7256 |
76
+ | 0.1069 | 24.0 | 14952 | 0.0917 | 0.6895 |
77
+ | 0.1019 | 25.0 | 15575 | 0.0837 | 0.7112 |
78
+ | 0.1017 | 26.0 | 16198 | 0.0832 | 0.7148 |
79
+ | 0.1034 | 27.0 | 16821 | 0.0847 | 0.7220 |
80
+ | 0.0989 | 28.0 | 17444 | 0.0830 | 0.7256 |
81
+ | 0.0969 | 29.0 | 18067 | 0.0817 | 0.7148 |
82
+ | 0.0964 | 30.0 | 18690 | 0.0835 | 0.7112 |
83
+ | 0.0957 | 31.0 | 19313 | 0.0846 | 0.7148 |
84
+ | 0.0937 | 32.0 | 19936 | 0.0827 | 0.7112 |
85
+ | 0.0895 | 33.0 | 20559 | 0.0860 | 0.7220 |
86
+ | 0.0905 | 34.0 | 21182 | 0.0830 | 0.7220 |
87
+ | 0.0875 | 35.0 | 21805 | 0.0796 | 0.7184 |
88
+ | 0.0895 | 36.0 | 22428 | 0.0811 | 0.7076 |
89
+ | 0.0861 | 37.0 | 23051 | 0.0805 | 0.7112 |
90
+ | 0.0868 | 38.0 | 23674 | 0.0786 | 0.7040 |
91
+ | 0.0798 | 39.0 | 24297 | 0.0787 | 0.7148 |
92
+ | 0.0827 | 40.0 | 24920 | 0.0815 | 0.7112 |
93
+ | 0.0798 | 41.0 | 25543 | 0.0790 | 0.7184 |
94
+ | 0.079 | 42.0 | 26166 | 0.0813 | 0.7220 |
95
+ | 0.0794 | 43.0 | 26789 | 0.0802 | 0.7112 |
96
+ | 0.0766 | 44.0 | 27412 | 0.0796 | 0.7076 |
97
+ | 0.0766 | 45.0 | 28035 | 0.0813 | 0.7329 |
98
+ | 0.0765 | 46.0 | 28658 | 0.0810 | 0.7112 |
99
+ | 0.0744 | 47.0 | 29281 | 0.0781 | 0.7148 |
100
+ | 0.076 | 48.0 | 29904 | 0.0794 | 0.7148 |
101
+ | 0.0728 | 49.0 | 30527 | 0.0780 | 0.7112 |
102
+ | 0.0745 | 50.0 | 31150 | 0.0767 | 0.7256 |
103
+ | 0.0711 | 51.0 | 31773 | 0.0771 | 0.7220 |
104
+ | 0.0726 | 52.0 | 32396 | 0.0772 | 0.7256 |
105
+ | 0.0747 | 53.0 | 33019 | 0.0772 | 0.7184 |
106
+ | 0.0711 | 54.0 | 33642 | 0.0772 | 0.7256 |
107
+ | 0.0676 | 55.0 | 34265 | 0.0767 | 0.7329 |
108
+ | 0.0697 | 56.0 | 34888 | 0.0783 | 0.7220 |
109
+ | 0.0692 | 57.0 | 35511 | 0.0766 | 0.7184 |
110
+ | 0.067 | 58.0 | 36134 | 0.0773 | 0.7148 |
111
+ | 0.0676 | 59.0 | 36757 | 0.0774 | 0.7112 |
112
+ | 0.0678 | 60.0 | 37380 | 0.0768 | 0.7112 |
113
+
114
+
115
+ ### Framework versions
116
+
117
+ - Transformers 4.26.1
118
+ - Pytorch 2.0.1+cu118
119
+ - Datasets 2.12.0
120
+ - Tokenizers 0.13.3