tonirodriguez commited on
Commit
90d8e64
1 Parent(s): 81a12cd

update model card README.md

Browse files
Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -5,19 +5,19 @@ tags:
5
  metrics:
6
  - accuracy
7
  model-index:
8
- - name: roberta-base-bne-finetuned-toxicity-tweets-25000
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
- # roberta-base-bne-finetuned-toxicity-tweets-25000
16
 
17
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
- - Loss: 0.2860
20
- - Accuracy: 0.9127
21
 
22
  ## Model description
23
 
@@ -48,8 +48,8 @@ The following hyperparameters were used during training:
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
- | 0.2325 | 1.0 | 149 | 0.2586 | 0.9108 |
52
- | 0.0987 | 2.0 | 298 | 0.2860 | 0.9127 |
53
 
54
 
55
  ### Framework versions
 
5
  metrics:
6
  - accuracy
7
  model-index:
8
+ - name: roberta-base-bne-finetuned-toxicity-tweets-50000
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
+ # roberta-base-bne-finetuned-toxicity-tweets-50000
16
 
17
  This model is a fine-tuned version of [PlanTL-GOB-ES/roberta-base-bne](https://huggingface.co/PlanTL-GOB-ES/roberta-base-bne) on the None dataset.
18
  It achieves the following results on the evaluation set:
19
+ - Loss: 0.2089
20
+ - Accuracy: 0.9400
21
 
22
  ## Model description
23
 
 
48
 
49
  | Training Loss | Epoch | Step | Validation Loss | Accuracy |
50
  |:-------------:|:-----:|:----:|:---------------:|:--------:|
51
+ | 0.2042 | 1.0 | 294 | 0.1805 | 0.9350 |
52
+ | 0.0667 | 2.0 | 588 | 0.2089 | 0.9400 |
53
 
54
 
55
  ### Framework versions