Model save

README.md

@@ -17,14 +17,14 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/bert-base-spanish-wwm-cased](https://huggingface.co/dccuchile/bert-base-spanish-wwm-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0905
-- F1 Macro: 0.9837
-- F1: 0.9883
-- F1 Neg: 0.9792
-- Acc: 0.985
-- Prec: 0.9806
-- Recall: 0.9961
-- Mcc: 0.9677
+- Loss: 0.0093
+- F1 Macro: 0.9987
+- F1: 0.9990
+- F1 Neg: 0.9983
+- Acc: 0.9988
+- Prec: 0.9980
+- Recall: 1.0
+- Mcc: 0.9973
 
 ## Model description
 
@@ -55,16 +55,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1 Macro | F1     | F1 Neg | Acc    | Prec   | Recall | Mcc    |
-|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:------:|:------:|:------:|:------:|:------:|
-| No log        | 1.0   | 400  | 0.0881          | 0.9727   | 0.9806 | 0.9649 | 0.975  | 0.9656 | 0.9961 | 0.9464 |
-| 0.1332        | 2.0   | 800  | 0.0936          | 0.9824   | 0.9873 | 0.9775 | 0.9838 | 0.9805 | 0.9941 | 0.9650 |
-| 0.0459        | 3.0   | 1200 | 0.0905          | 0.9837   | 0.9883 | 0.9792 | 0.985  | 0.9806 | 0.9961 | 0.9677 |
 
 
 ### Framework versions
 
-- Transformers 4.37.2
-- Pytorch 2.2.0+cu121
-- Datasets 2.16.1
+- Transformers 4.38.2
+- Pytorch 2.2.1+cu121
+- Datasets 2.18.0
 - Tokenizers 0.15.2