Hugging Face's logo

dkqjrm
/
20230824104542

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
dkqjrm commited on
Commit
0a6bf30
•
1 Parent(s): babd3ca

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: '20230824104542'
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
+ # 20230824104542
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: 0.3421
22
+ - Accuracy: 0.7256
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 | 1.0891 | 0.5307 |
54
+ | 0.5902 | 2.0 | 624 | 0.6221 | 0.4765 |
55
+ | 0.5902 | 3.0 | 936 | 0.4801 | 0.5379 |
56
+ | 0.5511 | 4.0 | 1248 | 0.4461 | 0.5054 |
57
+ | 0.5299 | 5.0 | 1560 | 0.5922 | 0.5162 |
58
+ | 0.5299 | 6.0 | 1872 | 0.4113 | 0.5199 |
59
+ | 0.509 | 7.0 | 2184 | 0.4885 | 0.5451 |
60
+ | 0.509 | 8.0 | 2496 | 0.4106 | 0.4910 |
61
+ | 0.4976 | 9.0 | 2808 | 0.5019 | 0.4874 |
62
+ | 0.4898 | 10.0 | 3120 | 0.4132 | 0.5307 |
63
+ | 0.4898 | 11.0 | 3432 | 0.4564 | 0.4874 |
64
+ | 0.4739 | 12.0 | 3744 | 0.4919 | 0.5307 |
65
+ | 0.4594 | 13.0 | 4056 | 0.4235 | 0.4982 |
66
+ | 0.4594 | 14.0 | 4368 | 0.3937 | 0.5812 |
67
+ | 0.4444 | 15.0 | 4680 | 0.3871 | 0.5812 |
68
+ | 0.4444 | 16.0 | 4992 | 0.4123 | 0.6065 |
69
+ | 0.4334 | 17.0 | 5304 | 0.3986 | 0.6209 |
70
+ | 0.4045 | 18.0 | 5616 | 0.4088 | 0.6029 |
71
+ | 0.4045 | 19.0 | 5928 | 0.3935 | 0.6209 |
72
+ | 0.3999 | 20.0 | 6240 | 0.3645 | 0.6715 |
73
+ | 0.376 | 21.0 | 6552 | 0.4230 | 0.5740 |
74
+ | 0.376 | 22.0 | 6864 | 0.3911 | 0.6823 |
75
+ | 0.3683 | 23.0 | 7176 | 0.5057 | 0.6534 |
76
+ | 0.3683 | 24.0 | 7488 | 0.3273 | 0.7040 |
77
+ | 0.3501 | 25.0 | 7800 | 0.3663 | 0.7004 |
78
+ | 0.344 | 26.0 | 8112 | 0.3755 | 0.6931 |
79
+ | 0.344 | 27.0 | 8424 | 0.3648 | 0.7112 |
80
+ | 0.3354 | 28.0 | 8736 | 0.3359 | 0.7148 |
81
+ | 0.3288 | 29.0 | 9048 | 0.3362 | 0.7112 |
82
+ | 0.3288 | 30.0 | 9360 | 0.5539 | 0.6787 |
83
+ | 0.3199 | 31.0 | 9672 | 0.3617 | 0.7112 |
84
+ | 0.3199 | 32.0 | 9984 | 0.3601 | 0.7184 |
85
+ | 0.3166 | 33.0 | 10296 | 0.3325 | 0.7292 |
86
+ | 0.3037 | 34.0 | 10608 | 0.3274 | 0.7256 |
87
+ | 0.3037 | 35.0 | 10920 | 0.3412 | 0.7076 |
88
+ | 0.2987 | 36.0 | 11232 | 0.3509 | 0.7256 |
89
+ | 0.2842 | 37.0 | 11544 | 0.3945 | 0.7076 |
90
+ | 0.2842 | 38.0 | 11856 | 0.3224 | 0.7365 |
91
+ | 0.2894 | 39.0 | 12168 | 0.4010 | 0.7148 |
92
+ | 0.2894 | 40.0 | 12480 | 0.3472 | 0.7220 |
93
+ | 0.2764 | 41.0 | 12792 | 0.3364 | 0.7112 |
94
+ | 0.2708 | 42.0 | 13104 | 0.3379 | 0.7040 |
95
+ | 0.2708 | 43.0 | 13416 | 0.3625 | 0.7148 |
96
+ | 0.2665 | 44.0 | 13728 | 0.3435 | 0.7220 |
97
+ | 0.265 | 45.0 | 14040 | 0.3762 | 0.7292 |
98
+ | 0.265 | 46.0 | 14352 | 0.3322 | 0.7220 |
99
+ | 0.2618 | 47.0 | 14664 | 0.3265 | 0.7329 |
100
+ | 0.2618 | 48.0 | 14976 | 0.3752 | 0.7292 |
101
+ | 0.2513 | 49.0 | 15288 | 0.3415 | 0.7292 |
102
+ | 0.2487 | 50.0 | 15600 | 0.3604 | 0.7220 |
103
+ | 0.2487 | 51.0 | 15912 | 0.3484 | 0.7292 |
104
+ | 0.2488 | 52.0 | 16224 | 0.3598 | 0.7329 |
105
+ | 0.2404 | 53.0 | 16536 | 0.3719 | 0.7184 |
106
+ | 0.2404 | 54.0 | 16848 | 0.3329 | 0.7220 |
107
+ | 0.2359 | 55.0 | 17160 | 0.3535 | 0.7220 |
108
+ | 0.2359 | 56.0 | 17472 | 0.3606 | 0.7256 |
109
+ | 0.2364 | 57.0 | 17784 | 0.3407 | 0.7292 |
110
+ | 0.2343 | 58.0 | 18096 | 0.3342 | 0.7292 |
111
+ | 0.2343 | 59.0 | 18408 | 0.3451 | 0.7220 |
112
+ | 0.2348 | 60.0 | 18720 | 0.3421 | 0.7256 |
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