elopezlopez commited on
Commit
6371d4b
1 Parent(s): 3c5f9da

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +83 -0
README.md ADDED
@@ -0,0 +1,83 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ tags:
4
+ - generated_from_trainer
5
+ metrics:
6
+ - f1
7
+ model-index:
8
+ - name: distilbert-base-uncased_fold_3_ternary_v1
9
+ results: []
10
+ ---
11
+
12
+ <!-- This model card has been generated automatically according to the information the Trainer had access to. You
13
+ should probably proofread and complete it, then remove this comment. -->
14
+
15
+ # distilbert-base-uncased_fold_3_ternary_v1
16
+
17
+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
18
+ It achieves the following results on the evaluation set:
19
+ - Loss: 1.8908
20
+ - F1: 0.7879
21
+
22
+ ## Model description
23
+
24
+ More information needed
25
+
26
+ ## Intended uses & limitations
27
+
28
+ More information needed
29
+
30
+ ## Training and evaluation data
31
+
32
+ More information needed
33
+
34
+ ## Training procedure
35
+
36
+ ### Training hyperparameters
37
+
38
+ The following hyperparameters were used during training:
39
+ - learning_rate: 2e-05
40
+ - train_batch_size: 16
41
+ - eval_batch_size: 16
42
+ - seed: 42
43
+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
44
+ - lr_scheduler_type: linear
45
+ - num_epochs: 25
46
+
47
+ ### Training results
48
+
49
+ | Training Loss | Epoch | Step | Validation Loss | F1 |
50
+ |:-------------:|:-----:|:----:|:---------------:|:------:|
51
+ | No log | 1.0 | 289 | 0.5873 | 0.7636 |
52
+ | 0.5479 | 2.0 | 578 | 0.5788 | 0.7697 |
53
+ | 0.5479 | 3.0 | 867 | 0.6286 | 0.7770 |
54
+ | 0.2412 | 4.0 | 1156 | 0.8845 | 0.7661 |
55
+ | 0.2412 | 5.0 | 1445 | 0.9894 | 0.7818 |
56
+ | 0.1191 | 6.0 | 1734 | 1.0856 | 0.7842 |
57
+ | 0.0543 | 7.0 | 2023 | 1.2852 | 0.7830 |
58
+ | 0.0543 | 8.0 | 2312 | 1.4295 | 0.7673 |
59
+ | 0.0223 | 9.0 | 2601 | 1.4716 | 0.7806 |
60
+ | 0.0223 | 10.0 | 2890 | 1.6007 | 0.7636 |
61
+ | 0.0122 | 11.0 | 3179 | 1.6744 | 0.7673 |
62
+ | 0.0122 | 12.0 | 3468 | 1.6954 | 0.7685 |
63
+ | 0.0129 | 13.0 | 3757 | 1.7273 | 0.7733 |
64
+ | 0.0057 | 14.0 | 4046 | 1.7114 | 0.7758 |
65
+ | 0.0057 | 15.0 | 4335 | 1.7480 | 0.7733 |
66
+ | 0.0045 | 16.0 | 4624 | 1.8322 | 0.7830 |
67
+ | 0.0045 | 17.0 | 4913 | 1.7448 | 0.7830 |
68
+ | 0.0047 | 18.0 | 5202 | 1.8126 | 0.7782 |
69
+ | 0.0047 | 19.0 | 5491 | 1.9021 | 0.7673 |
70
+ | 0.0018 | 20.0 | 5780 | 1.9011 | 0.7830 |
71
+ | 0.0026 | 21.0 | 6069 | 1.8771 | 0.7806 |
72
+ | 0.0026 | 22.0 | 6358 | 1.8634 | 0.7806 |
73
+ | 0.0012 | 23.0 | 6647 | 1.8926 | 0.7830 |
74
+ | 0.0012 | 24.0 | 6936 | 1.8922 | 0.7855 |
75
+ | 0.0005 | 25.0 | 7225 | 1.8908 | 0.7879 |
76
+
77
+
78
+ ### Framework versions
79
+
80
+ - Transformers 4.21.0
81
+ - Pytorch 1.12.0+cu113
82
+ - Datasets 2.4.0
83
+ - Tokenizers 0.12.1