DD0101 commited on
Commit
ea81057
1 Parent(s): b717f0e

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +78 -0
README.md ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ tags:
3
+ - generated_from_trainer
4
+ metrics:
5
+ - precision
6
+ - recall
7
+ - f1
8
+ - accuracy
9
+ model-index:
10
+ - name: disfluency-large-3
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
+ # disfluency-large-3
18
+
19
+ This model is a fine-tuned version of [vinai/phobert-large](https://huggingface.co/vinai/phobert-large) on an unknown dataset.
20
+ It achieves the following results on the evaluation set:
21
+ - Loss: 0.0364
22
+ - Precision: 0.9849
23
+ - Recall: 0.9802
24
+ - F1: 0.9825
25
+ - Accuracy: 0.9936
26
+
27
+ ## Model description
28
+
29
+ More information needed
30
+
31
+ ## Intended uses & limitations
32
+
33
+ More information needed
34
+
35
+ ## Training and evaluation data
36
+
37
+ More information needed
38
+
39
+ ## Training procedure
40
+
41
+ ### Training hyperparameters
42
+
43
+ The following hyperparameters were used during training:
44
+ - learning_rate: 5e-05
45
+ - train_batch_size: 32
46
+ - eval_batch_size: 32
47
+ - seed: 42
48
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
49
+ - lr_scheduler_type: linear
50
+ - num_epochs: 50
51
+
52
+ ### Training results
53
+
54
+ | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
55
+ |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
56
+ | No log | 1.0 | 140 | 0.0713 | 0.8955 | 0.9165 | 0.9059 | 0.9816 |
57
+ | No log | 2.0 | 280 | 0.0334 | 0.9706 | 0.9730 | 0.9718 | 0.9925 |
58
+ | No log | 3.0 | 420 | 0.0584 | 0.9656 | 0.9609 | 0.9633 | 0.9880 |
59
+ | 0.1335 | 4.0 | 560 | 0.0352 | 0.9742 | 0.9742 | 0.9742 | 0.9922 |
60
+ | 0.1335 | 5.0 | 700 | 0.0539 | 0.9651 | 0.9633 | 0.9642 | 0.9894 |
61
+ | 0.1335 | 6.0 | 840 | 0.0293 | 0.9730 | 0.9754 | 0.9742 | 0.9924 |
62
+ | 0.1335 | 7.0 | 980 | 0.0364 | 0.9849 | 0.9802 | 0.9825 | 0.9936 |
63
+ | 0.0146 | 8.0 | 1120 | 0.0343 | 0.9795 | 0.9778 | 0.9786 | 0.9941 |
64
+ | 0.0146 | 9.0 | 1260 | 0.0268 | 0.9802 | 0.9814 | 0.9808 | 0.9947 |
65
+ | 0.0146 | 10.0 | 1400 | 0.0427 | 0.9682 | 0.9688 | 0.9685 | 0.9918 |
66
+ | 0.0076 | 11.0 | 1540 | 0.0429 | 0.9576 | 0.9633 | 0.9605 | 0.9899 |
67
+ | 0.0076 | 12.0 | 1680 | 0.0343 | 0.9735 | 0.9730 | 0.9732 | 0.9933 |
68
+ | 0.0076 | 13.0 | 1820 | 0.0305 | 0.9801 | 0.9754 | 0.9777 | 0.9939 |
69
+ | 0.0076 | 14.0 | 1960 | 0.0437 | 0.9765 | 0.9742 | 0.9753 | 0.9924 |
70
+ | 0.0047 | 15.0 | 2100 | 0.0363 | 0.9778 | 0.9778 | 0.9778 | 0.9939 |
71
+
72
+
73
+ ### Framework versions
74
+
75
+ - Transformers 4.29.2
76
+ - Pytorch 2.0.1+cu118
77
+ - Datasets 2.12.0
78
+ - Tokenizers 0.13.3