update model card README.md

README.md

@@ -15,8 +15,8 @@ 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 the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5040
-- F1: 0.8767
+- Loss: 0.5154
+- F1: 0.8957
 
 ## Model description
 
@@ -36,8 +36,8 @@ More information needed
 
 The following hyperparameters were used during training:
 - learning_rate: 2e-05
-- train_batch_size: 16
-- eval_batch_size: 16
+- train_batch_size: 8
+- eval_batch_size: 8
 - seed: 13
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
@@ -47,16 +47,16 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:------:|
-| 0.512         | 1.0   | 70   | 0.5347          | 0.7474 |
-| 0.2281        | 2.0   | 140  | 0.3820          | 0.8333 |
-| 0.1212        | 3.0   | 210  | 0.3824          | 0.8908 |
-| 0.0495        | 4.0   | 280  | 0.4417          | 0.8818 |
-| 0.0221        | 5.0   | 350  | 0.5040          | 0.8767 |
+| 0.5098        | 1.0   | 140  | 0.4978          | 0.7340 |
+| 0.2473        | 2.0   | 280  | 0.3888          | 0.8829 |
+| 0.0908        | 3.0   | 420  | 0.4420          | 0.8969 |
+| 0.0332        | 4.0   | 560  | 0.5604          | 0.8796 |
+| 0.0052        | 5.0   | 700  | 0.5154          | 0.8957 |
 
 
 ### Framework versions
 
 - Transformers 4.30.2
-- Pytorch 2.0.1+cu117
+- Pytorch 2.0.1+cu118
 - Datasets 2.13.1
 - Tokenizers 0.13.3