update model card README.md

README.md

@@ -21,7 +21,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.6056338028169014
+      value: 0.5774647887323944
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +29,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # clasificador-amazonproducts
 
-This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the amazon_reviews_multi dataset.
+This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-uncased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-uncased) on the amazon_reviews_multi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.0297
-- Accuracy: 0.6056
+- Loss: 1.2425
+- Accuracy: 0.5775
 
 ## Model description
 
@@ -63,9 +63,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2571        | 1.0   | 658  | 1.0686          | 0.5493   |
-| 1.0148        | 2.0   | 1316 | 0.9996          | 0.5915   |
-| 0.8654        | 3.0   | 1974 | 1.0297          | 0.6056   |
+| 0.7097        | 1.0   | 658  | 1.1479          | 0.5704   |
+| 0.4787        | 2.0   | 1316 | 1.2425          | 0.5775   |
+| 0.3708        | 3.0   | 1974 | 1.2425          | 0.5775   |
 
 
 ### Framework versions