Hugging Face's logo

AlexC98
/
commitRoBertaWhy

Text Classification
Transformers
PyTorch
TensorBoard
xlm-roberta
Generated from Trainer
Model card Files
xet
Metrics Community
1
AlexC98 commited on
Commit
af0b03a
·
1 Parent(s): d5400ae

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +24 -24
README.md CHANGED
@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
16
 
17
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 1.6274
20
- - Accuracy: 0.8242
21
 
22
  ## Model description
23
 
@@ -36,7 +36,7 @@ More information needed
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
- - learning_rate: 1e-05
40
  - train_batch_size: 4
41
  - eval_batch_size: 4
42
  - seed: 42
@@ -48,31 +48,31 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
- | No log | 1.0 | 483 | 0.4383 | 0.7818 |
52
- | 0.5906 | 2.0 | 966 | 0.7983 | 0.7818 |
53
- | 0.5334 | 3.0 | 1449 | 0.6503 | 0.8182 |
54
- | 0.513 | 4.0 | 1932 | 0.6406 | 0.8364 |
55
- | 0.4621 | 5.0 | 2415 | 0.9097 | 0.8121 |
56
- | 0.4026 | 6.0 | 2898 | 0.8566 | 0.8303 |
57
- | 0.3724 | 7.0 | 3381 | 1.0921 | 0.7758 |
58
- | 0.2877 | 8.0 | 3864 | 1.0175 | 0.7939 |
59
- | 0.2623 | 9.0 | 4347 | 1.1664 | 0.8061 |
60
- | 0.213 | 10.0 | 4830 | 1.0402 | 0.8242 |
61
- | 0.182 | 11.0 | 5313 | 1.3556 | 0.8061 |
62
- | 0.1251 | 12.0 | 5796 | 1.3599 | 0.8121 |
63
- | 0.1498 | 13.0 | 6279 | 1.3964 | 0.8182 |
64
- | 0.0915 | 14.0 | 6762 | 1.3134 | 0.8182 |
65
- | 0.1006 | 15.0 | 7245 | 1.4765 | 0.8242 |
66
- | 0.0569 | 16.0 | 7728 | 1.6380 | 0.8061 |
67
- | 0.04 | 17.0 | 8211 | 1.4842 | 0.8242 |
68
- | 0.0502 | 18.0 | 8694 | 1.4919 | 0.8364 |
69
- | 0.0227 | 19.0 | 9177 | 1.6549 | 0.8182 |
70
- | 0.0107 | 20.0 | 9660 | 1.6274 | 0.8242 |
71
 
72
 
73
  ### Framework versions
74
 
75
  - Transformers 4.28.0
76
- - Pytorch 2.0.0+cu118
77
  - Datasets 2.12.0
78
  - Tokenizers 0.13.3
 
16
 
17
  This model is a fine-tuned version of [xlm-roberta-base](https://huggingface.co/xlm-roberta-base) on an unknown dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 1.7709
20
+ - Accuracy: 0.7818
21
 
22
  ## Model description
23
 
 
36
  ### Training hyperparameters
37
 
38
  The following hyperparameters were used during training:
39
+ - learning_rate: 5e-06
40
  - train_batch_size: 4
41
  - eval_batch_size: 4
42
  - seed: 42
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
+ | No log | 1.0 | 483 | 0.4784 | 0.7515 |
52
+ | 0.5809 | 2.0 | 966 | 0.7377 | 0.7636 |
53
+ | 0.5228 | 3.0 | 1449 | 0.9487 | 0.7879 |
54
+ | 0.5178 | 4.0 | 1932 | 0.7810 | 0.8061 |
55
+ | 0.4931 | 5.0 | 2415 | 0.8674 | 0.8182 |
56
+ | 0.4562 | 6.0 | 2898 | 0.8308 | 0.8121 |
57
+ | 0.4585 | 7.0 | 3381 | 1.2448 | 0.7818 |
58
+ | 0.3061 | 8.0 | 3864 | 1.0845 | 0.8061 |
59
+ | 0.3341 | 9.0 | 4347 | 1.1429 | 0.7879 |
60
+ | 0.288 | 10.0 | 4830 | 1.0559 | 0.8242 |
61
+ | 0.2673 | 11.0 | 5313 | 1.2845 | 0.8 |
62
+ | 0.1954 | 12.0 | 5796 | 1.4496 | 0.8 |
63
+ | 0.227 | 13.0 | 6279 | 1.3763 | 0.8 |
64
+ | 0.1761 | 14.0 | 6762 | 1.4341 | 0.8061 |
65
+ | 0.2154 | 15.0 | 7245 | 1.3411 | 0.8061 |
66
+ | 0.1736 | 16.0 | 7728 | 1.4826 | 0.7879 |
67
+ | 0.0983 | 17.0 | 8211 | 1.7190 | 0.7818 |
68
+ | 0.1382 | 18.0 | 8694 | 1.5242 | 0.8 |
69
+ | 0.1262 | 19.0 | 9177 | 1.6978 | 0.7879 |
70
+ | 0.0962 | 20.0 | 9660 | 1.7709 | 0.7818 |
71
 
72
 
73
  ### Framework versions
74
 
75
  - Transformers 4.28.0
76
+ - Pytorch 2.0.1+cu118
77
  - Datasets 2.12.0
78
  - Tokenizers 0.13.3