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: 0.1211
-- F1 Macro: 0.9718
-- F1: 0.9792
-- F1 Neg: 0.9645
-- Acc: 0.9738
-- Prec: 0.9860
-- Recall: 0.9724
-- Mcc: 0.9438
+- Loss: 0.0990
+- F1 Macro: 0.9825
+- F1: 0.9872
+- F1 Neg: 0.9779
+- Acc: 0.9838
+- Prec: 0.9901
+- Recall: 0.9843
+- Mcc: 0.9651
 
 ## 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  | 0.1211          | 0.9718   | 0.9792 | 0.9645 | 0.9738 | 0.9860 | 0.9724 | 0.9438 |
-| 0.1763        | 2.0   | 800  | 0.1186          | 0.9691   | 0.9773 | 0.9608 | 0.9712 | 0.9802 | 0.9744 | 0.9381 |
-| 0.0669        | 3.0   | 1200 | 0.1388          | 0.9704   | 0.9783 | 0.9625 | 0.9725 | 0.9802 | 0.9764 | 0.9408 |
 
 
 ### 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