Hugging Face's logo

raulgdp
/
Analisis-sentimientos-xml-roberta-2

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
xlm-roberta
Generated from Trainer
Inference Endpoints
Model card Files Metrics Community
raulgdp commited on
Commit
a649a70
•
1 Parent(s): c22735e

End of training

Browse files
Files changed (2) hide show
  1. README.md +14 -14
  2. model.safetensors +1 -1
README.md CHANGED
@@ -14,8 +14,8 @@ should probably proofread and complete it, then remove this comment. -->
14
 
15
  This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
- - Loss: 0.4452
18
- - Rmse: 0.4436
19
 
20
  ## Model description
21
 
@@ -46,21 +46,21 @@ The following hyperparameters were used during training:
46
 
47
  | Training Loss | Epoch | Step | Validation Loss | Rmse |
48
  |:-------------:|:-----:|:----:|:---------------:|:------:|
49
- | 0.2242 | 1.0 | 642 | 0.1785 | 0.4892 |
50
- | 0.1607 | 2.0 | 1284 | 0.1834 | 0.4844 |
51
- | 0.1161 | 3.0 | 1926 | 0.2248 | 0.4630 |
52
- | 0.0716 | 4.0 | 2568 | 0.2882 | 0.4316 |
53
- | 0.0582 | 5.0 | 3210 | 0.3435 | 0.4441 |
54
- | 0.0487 | 6.0 | 3852 | 0.3672 | 0.4562 |
55
- | 0.0397 | 7.0 | 4494 | 0.3785 | 0.4528 |
56
- | 0.0326 | 8.0 | 5136 | 0.4055 | 0.4493 |
57
- | 0.0276 | 9.0 | 5778 | 0.4224 | 0.4410 |
58
- | 0.0243 | 10.0 | 6420 | 0.4452 | 0.4436 |
59
 
60
 
61
  ### Framework versions
62
 
63
- - Transformers 4.31.0
64
  - Pytorch 2.0.1+cu117
65
  - Datasets 2.18.0
66
- - Tokenizers 0.13.3
 
14
 
15
  This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on an unknown dataset.
16
  It achieves the following results on the evaluation set:
17
+ - Loss: 0.4357
18
+ - Rmse: 0.4405
19
 
20
  ## Model description
21
 
 
46
 
47
  | Training Loss | Epoch | Step | Validation Loss | Rmse |
48
  |:-------------:|:-----:|:----:|:---------------:|:------:|
49
+ | 0.2283 | 1.0 | 642 | 0.2403 | 0.5230 |
50
+ | 0.1594 | 2.0 | 1284 | 0.2210 | 0.4827 |
51
+ | 0.1136 | 3.0 | 1926 | 0.2536 | 0.4441 |
52
+ | 0.0833 | 4.0 | 2568 | 0.2490 | 0.4370 |
53
+ | 0.0536 | 5.0 | 3210 | 0.3226 | 0.4370 |
54
+ | 0.0439 | 6.0 | 3852 | 0.3494 | 0.4388 |
55
+ | 0.0336 | 7.0 | 4494 | 0.4017 | 0.4352 |
56
+ | 0.033 | 8.0 | 5136 | 0.4274 | 0.4388 |
57
+ | 0.0307 | 9.0 | 5778 | 0.4120 | 0.4334 |
58
+ | 0.0274 | 10.0 | 6420 | 0.4357 | 0.4405 |
59
 
60
 
61
  ### Framework versions
62
 
63
+ - Transformers 4.40.1
64
  - Pytorch 2.0.1+cu117
65
  - Datasets 2.18.0
66
+ - Tokenizers 0.19.1
model.safetensors CHANGED
@@ -1,3 +1,3 @@
1
  version https://git-lfs.github.com/spec/v1
2
- oid sha256:571ee927894fbcd5a782afa0f03cc4c911196ba8f95e39a86bfd43cfdfbd0fb2
3
  size 1112208084
 
1
  version https://git-lfs.github.com/spec/v1
2
+ oid sha256:68751b4043022b331155ffdc5ab9337aa213ab242cc7bf12b8ac8ee49c8ad404
3
  size 1112208084