Hugging Face's logo

dkqjrm
/
20230822173808

Text Classification
Transformers
PyTorch
TensorBoard
bert
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
dkqjrm commited on
Commit
2fc35e6
•
1 Parent(s): 7c42595

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: '20230822173808'
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
+ # 20230822173808
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: 0.3493
22
+ - Accuracy: 0.6968
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: 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 | 0.3774 | 0.5162 |
54
+ | 0.5343 | 2.0 | 624 | 0.3506 | 0.5018 |
55
+ | 0.5343 | 3.0 | 936 | 0.4575 | 0.4729 |
56
+ | 0.4659 | 4.0 | 1248 | 0.3759 | 0.5307 |
57
+ | 0.4691 | 5.0 | 1560 | 0.3500 | 0.5812 |
58
+ | 0.4691 | 6.0 | 1872 | 0.3457 | 0.5993 |
59
+ | 0.4442 | 7.0 | 2184 | 0.3500 | 0.6101 |
60
+ | 0.4442 | 8.0 | 2496 | 0.3403 | 0.6173 |
61
+ | 0.4366 | 9.0 | 2808 | 0.3840 | 0.5776 |
62
+ | 0.4097 | 10.0 | 3120 | 0.4391 | 0.5487 |
63
+ | 0.4097 | 11.0 | 3432 | 0.3584 | 0.6029 |
64
+ | 0.3922 | 12.0 | 3744 | 0.3356 | 0.6498 |
65
+ | 0.3564 | 13.0 | 4056 | 0.3275 | 0.6931 |
66
+ | 0.3564 | 14.0 | 4368 | 0.3283 | 0.7076 |
67
+ | 0.3343 | 15.0 | 4680 | 0.3377 | 0.6462 |
68
+ | 0.3343 | 16.0 | 4992 | 0.3550 | 0.6390 |
69
+ | 0.335 | 17.0 | 5304 | 0.3370 | 0.6895 |
70
+ | 0.3233 | 18.0 | 5616 | 0.3256 | 0.6787 |
71
+ | 0.3233 | 19.0 | 5928 | 0.3174 | 0.7112 |
72
+ | 0.3232 | 20.0 | 6240 | 0.3440 | 0.6643 |
73
+ | 0.3102 | 21.0 | 6552 | 0.3375 | 0.6895 |
74
+ | 0.3102 | 22.0 | 6864 | 0.3433 | 0.6787 |
75
+ | 0.3064 | 23.0 | 7176 | 0.3690 | 0.6715 |
76
+ | 0.3064 | 24.0 | 7488 | 0.3394 | 0.6931 |
77
+ | 0.3004 | 25.0 | 7800 | 0.3377 | 0.7256 |
78
+ | 0.2962 | 26.0 | 8112 | 0.3435 | 0.6751 |
79
+ | 0.2962 | 27.0 | 8424 | 0.3182 | 0.7329 |
80
+ | 0.2937 | 28.0 | 8736 | 0.3306 | 0.7112 |
81
+ | 0.2905 | 29.0 | 9048 | 0.3362 | 0.7148 |
82
+ | 0.2905 | 30.0 | 9360 | 0.3675 | 0.6751 |
83
+ | 0.2865 | 31.0 | 9672 | 0.3406 | 0.7076 |
84
+ | 0.2865 | 32.0 | 9984 | 0.3343 | 0.7040 |
85
+ | 0.2812 | 33.0 | 10296 | 0.3472 | 0.6859 |
86
+ | 0.2727 | 34.0 | 10608 | 0.3372 | 0.7292 |
87
+ | 0.2727 | 35.0 | 10920 | 0.3575 | 0.7076 |
88
+ | 0.2735 | 36.0 | 11232 | 0.3300 | 0.7076 |
89
+ | 0.2701 | 37.0 | 11544 | 0.3585 | 0.6968 |
90
+ | 0.2701 | 38.0 | 11856 | 0.3422 | 0.7148 |
91
+ | 0.2688 | 39.0 | 12168 | 0.3579 | 0.6931 |
92
+ | 0.2688 | 40.0 | 12480 | 0.3326 | 0.7148 |
93
+ | 0.2644 | 41.0 | 12792 | 0.3464 | 0.7256 |
94
+ | 0.2637 | 42.0 | 13104 | 0.3579 | 0.6931 |
95
+ | 0.2637 | 43.0 | 13416 | 0.3489 | 0.7040 |
96
+ | 0.26 | 44.0 | 13728 | 0.3439 | 0.7076 |
97
+ | 0.2582 | 45.0 | 14040 | 0.3585 | 0.7004 |
98
+ | 0.2582 | 46.0 | 14352 | 0.3535 | 0.7076 |
99
+ | 0.2533 | 47.0 | 14664 | 0.3440 | 0.7148 |
100
+ | 0.2533 | 48.0 | 14976 | 0.3506 | 0.7040 |
101
+ | 0.2535 | 49.0 | 15288 | 0.3519 | 0.7040 |
102
+ | 0.2498 | 50.0 | 15600 | 0.3457 | 0.6931 |
103
+ | 0.2498 | 51.0 | 15912 | 0.3494 | 0.7112 |
104
+ | 0.2504 | 52.0 | 16224 | 0.3431 | 0.7040 |
105
+ | 0.2499 | 53.0 | 16536 | 0.3450 | 0.7040 |
106
+ | 0.2499 | 54.0 | 16848 | 0.3485 | 0.6895 |
107
+ | 0.2488 | 55.0 | 17160 | 0.3437 | 0.7004 |
108
+ | 0.2488 | 56.0 | 17472 | 0.3465 | 0.7004 |
109
+ | 0.2479 | 57.0 | 17784 | 0.3479 | 0.6895 |
110
+ | 0.247 | 58.0 | 18096 | 0.3447 | 0.7004 |
111
+ | 0.247 | 59.0 | 18408 | 0.3521 | 0.7004 |
112
+ | 0.2468 | 60.0 | 18720 | 0.3493 | 0.6968 |
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