update model card README.md

README.md

@@ -1,4 +1,5 @@
 ---
+license: mit
 tags:
 - classification
 - generated_from_trainer
@@ -14,10 +15,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clasificador-muchocine
 
-This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
+This model is a fine-tuned version of [xlm-roberta-large](https://huggingface.co/xlm-roberta-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.3869
-- Accuracy: 0.3768
+- Loss: 1.5297
+- Accuracy: 0.3239
 
 ## Model description
 
@@ -48,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.5021          | 0.3574   |
-| 1.5392        | 2.0   | 776  | 1.4282          | 0.3252   |
-| 1.4283        | 3.0   | 1164 | 1.3869          | 0.3768   |
+| No log        | 1.0   | 388  | 1.5268          | 0.3239   |
+| 1.5534        | 2.0   | 776  | 1.5263          | 0.3239   |
+| 1.5313        | 3.0   | 1164 | 1.5297          | 0.3239   |
 
 
 ### Framework versions