Hugging Face's logo

Onutoa
/
5e-3_10_0.1

Text Classification
Transformers
PyTorch
bert
Generated from Trainer
Inference Endpoints
Model card Files Community
Onutoa commited on
Commit
86ad136
•
1 Parent(s): 15d2e4d

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: 5e-3_10_0.1
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
+ # 5e-3_10_0.1
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: 0.6700
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: 0.005
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 | 0.9081 | 0.5271 |
54
+ | 0.937 | 2.0 | 624 | 0.6140 | 0.5704 |
55
+ | 0.937 | 3.0 | 936 | 0.8444 | 0.4729 |
56
+ | 0.8284 | 4.0 | 1248 | 0.7307 | 0.6245 |
57
+ | 0.8066 | 5.0 | 1560 | 1.2493 | 0.5487 |
58
+ | 0.8066 | 6.0 | 1872 | 0.6752 | 0.6643 |
59
+ | 0.7461 | 7.0 | 2184 | 0.8410 | 0.6282 |
60
+ | 0.7461 | 8.0 | 2496 | 0.7924 | 0.6390 |
61
+ | 0.6874 | 9.0 | 2808 | 0.6100 | 0.7184 |
62
+ | 0.67 | 10.0 | 3120 | 0.7658 | 0.6895 |
63
+ | 0.67 | 11.0 | 3432 | 0.8649 | 0.6426 |
64
+ | 0.6374 | 12.0 | 3744 | 0.5784 | 0.7545 |
65
+ | 0.5735 | 13.0 | 4056 | 0.5793 | 0.7292 |
66
+ | 0.5735 | 14.0 | 4368 | 0.6332 | 0.7437 |
67
+ | 0.4712 | 15.0 | 4680 | 0.5207 | 0.7581 |
68
+ | 0.4712 | 16.0 | 4992 | 0.5339 | 0.7292 |
69
+ | 0.4258 | 17.0 | 5304 | 0.7625 | 0.7220 |
70
+ | 0.3712 | 18.0 | 5616 | 0.5492 | 0.7365 |
71
+ | 0.3712 | 19.0 | 5928 | 0.5661 | 0.7437 |
72
+ | 0.3656 | 20.0 | 6240 | 0.7445 | 0.7184 |
73
+ | 0.327 | 21.0 | 6552 | 0.5874 | 0.7437 |
74
+ | 0.327 | 22.0 | 6864 | 0.6301 | 0.7365 |
75
+ | 0.3015 | 23.0 | 7176 | 0.6740 | 0.7148 |
76
+ | 0.3015 | 24.0 | 7488 | 0.6599 | 0.7220 |
77
+ | 0.2929 | 25.0 | 7800 | 0.6697 | 0.7292 |
78
+ | 0.2609 | 26.0 | 8112 | 0.6871 | 0.7256 |
79
+ | 0.2609 | 27.0 | 8424 | 0.6303 | 0.7220 |
80
+ | 0.2581 | 28.0 | 8736 | 0.6768 | 0.7040 |
81
+ | 0.2504 | 29.0 | 9048 | 0.6986 | 0.7148 |
82
+ | 0.2504 | 30.0 | 9360 | 0.6783 | 0.7148 |
83
+ | 0.2313 | 31.0 | 9672 | 0.7120 | 0.7076 |
84
+ | 0.2313 | 32.0 | 9984 | 0.6227 | 0.7148 |
85
+ | 0.2209 | 33.0 | 10296 | 0.6961 | 0.7220 |
86
+ | 0.2141 | 34.0 | 10608 | 0.6817 | 0.7220 |
87
+ | 0.2141 | 35.0 | 10920 | 0.6810 | 0.7256 |
88
+ | 0.2129 | 36.0 | 11232 | 0.6567 | 0.7292 |
89
+ | 0.2053 | 37.0 | 11544 | 0.7469 | 0.7329 |
90
+ | 0.2053 | 38.0 | 11856 | 0.6684 | 0.7329 |
91
+ | 0.2014 | 39.0 | 12168 | 0.6540 | 0.7329 |
92
+ | 0.2014 | 40.0 | 12480 | 0.6679 | 0.7437 |
93
+ | 0.2012 | 41.0 | 12792 | 0.6582 | 0.7292 |
94
+ | 0.1957 | 42.0 | 13104 | 0.6635 | 0.7292 |
95
+ | 0.1957 | 43.0 | 13416 | 0.6715 | 0.7401 |
96
+ | 0.1903 | 44.0 | 13728 | 0.6628 | 0.7329 |
97
+ | 0.1861 | 45.0 | 14040 | 0.6674 | 0.7329 |
98
+ | 0.1861 | 46.0 | 14352 | 0.7008 | 0.7220 |
99
+ | 0.1858 | 47.0 | 14664 | 0.6371 | 0.7401 |
100
+ | 0.1858 | 48.0 | 14976 | 0.6630 | 0.7437 |
101
+ | 0.1852 | 49.0 | 15288 | 0.6353 | 0.7365 |
102
+ | 0.1868 | 50.0 | 15600 | 0.7010 | 0.7401 |
103
+ | 0.1868 | 51.0 | 15912 | 0.6572 | 0.7365 |
104
+ | 0.1813 | 52.0 | 16224 | 0.6531 | 0.7401 |
105
+ | 0.1807 | 53.0 | 16536 | 0.6413 | 0.7437 |
106
+ | 0.1807 | 54.0 | 16848 | 0.6605 | 0.7473 |
107
+ | 0.1792 | 55.0 | 17160 | 0.6498 | 0.7437 |
108
+ | 0.1792 | 56.0 | 17472 | 0.6865 | 0.7437 |
109
+ | 0.1764 | 57.0 | 17784 | 0.6660 | 0.7365 |
110
+ | 0.1726 | 58.0 | 18096 | 0.6829 | 0.7473 |
111
+ | 0.1726 | 59.0 | 18408 | 0.6730 | 0.7437 |
112
+ | 0.1761 | 60.0 | 18720 | 0.6700 | 0.7365 |
113
+
114
+
115
+ ### Framework versions
116
+
117
+ - Transformers 4.30.0
118
+ - Pytorch 2.0.1+cu117
119
+ - Datasets 2.14.4
120
+ - Tokenizers 0.13.3