End of training

README.md

@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [dccuchile/distilbert-base-spanish-uncased](https://huggingface.co/dccuchile/distilbert-base-spanish-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4706
-- Accuracy: 0.8445
+- Loss: 2.1390
+- Accuracy: 0.3156
 
 ## Model description
 
@@ -48,15 +48,15 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.5667        | 1.0   | 845  | 0.5398          | 0.8059   |
-| 0.4657        | 2.0   | 1690 | 0.4700          | 0.8315   |
-| 0.3722        | 3.0   | 2535 | 0.4897          | 0.8320   |
-| 0.298         | 4.0   | 3380 | 0.4706          | 0.8445   |
+| 1.293         | 1.0   | 240  | 2.4308          | 0.1860   |
+| 1.1898        | 2.0   | 480  | 2.3413          | 0.2458   |
+| 1.0891        | 3.0   | 720  | 2.2071          | 0.3123   |
+| 1.0254        | 4.0   | 960  | 2.1390          | 0.3156   |
 
 
 ### Framework versions
 
-- Transformers 4.38.2
+- Transformers 4.40.2
 - Pytorch 2.2.1+cu121
-- Datasets 2.18.0
-- Tokenizers 0.15.2
+- Datasets 2.19.1
+- Tokenizers 0.19.1