Hugging Face's logo

Onutoa
/
20230817181727

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
1
Onutoa commited on
Commit
695d88f
·
1 Parent(s): 4ea825b

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: '20230817181727'
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
+ # 20230817181727
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: 0.3316
22
+ - Accuracy: 0.7365
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: 0.004
42
+ - train_batch_size: 16
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 | 156 | 0.4741 | 0.5307 |
54
+ | No log | 2.0 | 312 | 0.3849 | 0.5090 |
55
+ | No log | 3.0 | 468 | 0.4345 | 0.4729 |
56
+ | 0.5496 | 4.0 | 624 | 0.4749 | 0.5235 |
57
+ | 0.5496 | 5.0 | 780 | 0.4138 | 0.5343 |
58
+ | 0.5496 | 6.0 | 936 | 0.3599 | 0.5632 |
59
+ | 0.4365 | 7.0 | 1092 | 0.3954 | 0.5632 |
60
+ | 0.4365 | 8.0 | 1248 | 0.3455 | 0.5018 |
61
+ | 0.4365 | 9.0 | 1404 | 0.3985 | 0.5776 |
62
+ | 0.4109 | 10.0 | 1560 | 0.3828 | 0.5993 |
63
+ | 0.4109 | 11.0 | 1716 | 0.4339 | 0.4729 |
64
+ | 0.4109 | 12.0 | 1872 | 0.3432 | 0.5379 |
65
+ | 0.3611 | 13.0 | 2028 | 0.3395 | 0.6137 |
66
+ | 0.3611 | 14.0 | 2184 | 0.3404 | 0.6715 |
67
+ | 0.3611 | 15.0 | 2340 | 0.3396 | 0.6570 |
68
+ | 0.3611 | 16.0 | 2496 | 0.3857 | 0.6354 |
69
+ | 0.3456 | 17.0 | 2652 | 0.3480 | 0.6895 |
70
+ | 0.3456 | 18.0 | 2808 | 0.3348 | 0.7040 |
71
+ | 0.3456 | 19.0 | 2964 | 0.3323 | 0.6426 |
72
+ | 0.3391 | 20.0 | 3120 | 0.3591 | 0.6715 |
73
+ | 0.3391 | 21.0 | 3276 | 0.3378 | 0.7148 |
74
+ | 0.3391 | 22.0 | 3432 | 0.3453 | 0.7004 |
75
+ | 0.3319 | 23.0 | 3588 | 0.3405 | 0.6679 |
76
+ | 0.3319 | 24.0 | 3744 | 0.3451 | 0.6390 |
77
+ | 0.3319 | 25.0 | 3900 | 0.3665 | 0.6895 |
78
+ | 0.3274 | 26.0 | 4056 | 0.3290 | 0.7112 |
79
+ | 0.3274 | 27.0 | 4212 | 0.3252 | 0.7040 |
80
+ | 0.3274 | 28.0 | 4368 | 0.3265 | 0.7184 |
81
+ | 0.3214 | 29.0 | 4524 | 0.3284 | 0.7365 |
82
+ | 0.3214 | 30.0 | 4680 | 0.3290 | 0.7437 |
83
+ | 0.3214 | 31.0 | 4836 | 0.3328 | 0.7256 |
84
+ | 0.3214 | 32.0 | 4992 | 0.3268 | 0.7220 |
85
+ | 0.3167 | 33.0 | 5148 | 0.3372 | 0.7220 |
86
+ | 0.3167 | 34.0 | 5304 | 0.3263 | 0.7256 |
87
+ | 0.3167 | 35.0 | 5460 | 0.3231 | 0.7365 |
88
+ | 0.312 | 36.0 | 5616 | 0.3255 | 0.7256 |
89
+ | 0.312 | 37.0 | 5772 | 0.3325 | 0.7148 |
90
+ | 0.312 | 38.0 | 5928 | 0.3351 | 0.7365 |
91
+ | 0.3083 | 39.0 | 6084 | 0.3362 | 0.7148 |
92
+ | 0.3083 | 40.0 | 6240 | 0.3326 | 0.7292 |
93
+ | 0.3083 | 41.0 | 6396 | 0.3366 | 0.7220 |
94
+ | 0.3081 | 42.0 | 6552 | 0.3265 | 0.7292 |
95
+ | 0.3081 | 43.0 | 6708 | 0.3351 | 0.7365 |
96
+ | 0.3081 | 44.0 | 6864 | 0.3384 | 0.7329 |
97
+ | 0.3032 | 45.0 | 7020 | 0.3298 | 0.7220 |
98
+ | 0.3032 | 46.0 | 7176 | 0.3309 | 0.7329 |
99
+ | 0.3032 | 47.0 | 7332 | 0.3319 | 0.7256 |
100
+ | 0.3032 | 48.0 | 7488 | 0.3452 | 0.7401 |
101
+ | 0.2998 | 49.0 | 7644 | 0.3365 | 0.7365 |
102
+ | 0.2998 | 50.0 | 7800 | 0.3290 | 0.7256 |
103
+ | 0.2998 | 51.0 | 7956 | 0.3251 | 0.7509 |
104
+ | 0.2989 | 52.0 | 8112 | 0.3254 | 0.7401 |
105
+ | 0.2989 | 53.0 | 8268 | 0.3372 | 0.7365 |
106
+ | 0.2989 | 54.0 | 8424 | 0.3401 | 0.7437 |
107
+ | 0.2951 | 55.0 | 8580 | 0.3315 | 0.7365 |
108
+ | 0.2951 | 56.0 | 8736 | 0.3345 | 0.7292 |
109
+ | 0.2951 | 57.0 | 8892 | 0.3301 | 0.7292 |
110
+ | 0.2945 | 58.0 | 9048 | 0.3322 | 0.7292 |
111
+ | 0.2945 | 59.0 | 9204 | 0.3305 | 0.7329 |
112
+ | 0.2945 | 60.0 | 9360 | 0.3316 | 0.7365 |
113
+
114
+
115
+ ### Framework versions
116
+
117
+ - Transformers 4.30.0
118
+ - Pytorch 2.0.1
119
+ - Datasets 2.14.4
120
+ - Tokenizers 0.13.3