Hugging Face's logo

dkqjrm
/
20230824064444

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
dkqjrm commited on
Commit
c8b8c41
•
1 Parent(s): ab47f2f

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: '20230824064444'
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
+ # 20230824064444
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: 0.0709
22
+ - Accuracy: 0.7329
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: 8
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
+ | No log | 1.0 | 312 | 0.4733 | 0.5307 |
54
+ | 0.3538 | 2.0 | 624 | 0.1917 | 0.5126 |
55
+ | 0.3538 | 3.0 | 936 | 0.1696 | 0.5560 |
56
+ | 0.2775 | 4.0 | 1248 | 0.1700 | 0.5271 |
57
+ | 0.2538 | 5.0 | 1560 | 0.3497 | 0.5343 |
58
+ | 0.2538 | 6.0 | 1872 | 0.2183 | 0.5632 |
59
+ | 0.259 | 7.0 | 2184 | 0.1783 | 0.5018 |
60
+ | 0.259 | 8.0 | 2496 | 0.2321 | 0.5848 |
61
+ | 0.2587 | 9.0 | 2808 | 0.2081 | 0.6101 |
62
+ | 0.2211 | 10.0 | 3120 | 0.1194 | 0.6715 |
63
+ | 0.2211 | 11.0 | 3432 | 0.1505 | 0.6390 |
64
+ | 0.198 | 12.0 | 3744 | 0.1130 | 0.7004 |
65
+ | 0.1939 | 13.0 | 4056 | 0.1187 | 0.6679 |
66
+ | 0.1939 | 14.0 | 4368 | 0.1175 | 0.6787 |
67
+ | 0.1687 | 15.0 | 4680 | 0.1092 | 0.7040 |
68
+ | 0.1687 | 16.0 | 4992 | 0.0984 | 0.7076 |
69
+ | 0.1511 | 17.0 | 5304 | 0.1032 | 0.7076 |
70
+ | 0.1448 | 18.0 | 5616 | 0.1024 | 0.7401 |
71
+ | 0.1448 | 19.0 | 5928 | 0.0902 | 0.7112 |
72
+ | 0.1392 | 20.0 | 6240 | 0.0972 | 0.7112 |
73
+ | 0.1283 | 21.0 | 6552 | 0.0880 | 0.7184 |
74
+ | 0.1283 | 22.0 | 6864 | 0.0892 | 0.7329 |
75
+ | 0.1257 | 23.0 | 7176 | 0.1156 | 0.7401 |
76
+ | 0.1257 | 24.0 | 7488 | 0.0940 | 0.7329 |
77
+ | 0.1215 | 25.0 | 7800 | 0.0876 | 0.7401 |
78
+ | 0.1184 | 26.0 | 8112 | 0.1289 | 0.7437 |
79
+ | 0.1184 | 27.0 | 8424 | 0.0808 | 0.7256 |
80
+ | 0.1112 | 28.0 | 8736 | 0.0823 | 0.7401 |
81
+ | 0.1139 | 29.0 | 9048 | 0.0838 | 0.7256 |
82
+ | 0.1139 | 30.0 | 9360 | 0.0855 | 0.7220 |
83
+ | 0.1095 | 31.0 | 9672 | 0.0813 | 0.7256 |
84
+ | 0.1095 | 32.0 | 9984 | 0.0765 | 0.7256 |
85
+ | 0.106 | 33.0 | 10296 | 0.0847 | 0.7365 |
86
+ | 0.1034 | 34.0 | 10608 | 0.0844 | 0.7509 |
87
+ | 0.1034 | 35.0 | 10920 | 0.0811 | 0.7184 |
88
+ | 0.0991 | 36.0 | 11232 | 0.0811 | 0.7292 |
89
+ | 0.0938 | 37.0 | 11544 | 0.0847 | 0.7365 |
90
+ | 0.0938 | 38.0 | 11856 | 0.0824 | 0.7256 |
91
+ | 0.0973 | 39.0 | 12168 | 0.0760 | 0.7292 |
92
+ | 0.0973 | 40.0 | 12480 | 0.0786 | 0.7220 |
93
+ | 0.0908 | 41.0 | 12792 | 0.0732 | 0.7473 |
94
+ | 0.0894 | 42.0 | 13104 | 0.0763 | 0.7401 |
95
+ | 0.0894 | 43.0 | 13416 | 0.0811 | 0.7365 |
96
+ | 0.0896 | 44.0 | 13728 | 0.0734 | 0.7473 |
97
+ | 0.0882 | 45.0 | 14040 | 0.0747 | 0.7329 |
98
+ | 0.0882 | 46.0 | 14352 | 0.0729 | 0.7401 |
99
+ | 0.0847 | 47.0 | 14664 | 0.0723 | 0.7329 |
100
+ | 0.0847 | 48.0 | 14976 | 0.0748 | 0.7401 |
101
+ | 0.0854 | 49.0 | 15288 | 0.0755 | 0.7292 |
102
+ | 0.0813 | 50.0 | 15600 | 0.0715 | 0.7329 |
103
+ | 0.0813 | 51.0 | 15912 | 0.0719 | 0.7292 |
104
+ | 0.0845 | 52.0 | 16224 | 0.0721 | 0.7401 |
105
+ | 0.0821 | 53.0 | 16536 | 0.0711 | 0.7292 |
106
+ | 0.0821 | 54.0 | 16848 | 0.0714 | 0.7437 |
107
+ | 0.0802 | 55.0 | 17160 | 0.0711 | 0.7401 |
108
+ | 0.0802 | 56.0 | 17472 | 0.0718 | 0.7329 |
109
+ | 0.0798 | 57.0 | 17784 | 0.0708 | 0.7220 |
110
+ | 0.0796 | 58.0 | 18096 | 0.0715 | 0.7365 |
111
+ | 0.0796 | 59.0 | 18408 | 0.0712 | 0.7329 |
112
+ | 0.0806 | 60.0 | 18720 | 0.0709 | 0.7329 |
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