Training complete

README.md

@@ -20,11 +20,11 @@ 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: 0.0903
-- Precision: 0.9794
-- Recall: 0.9823
-- F1: 0.9808
-- Accuracy: 0.9817
+- Loss: 0.0894
+- Precision: 0.9797
+- Recall: 0.9815
+- F1: 0.9806
+- Accuracy: 0.9811
 
 ## Model description
 
@@ -55,14 +55,14 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1     | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:---------:|:------:|:------:|:--------:|
-| 0.4542        | 1.0   | 603  | 0.1095          | 0.9714    | 0.9743 | 0.9728 | 0.9758   |
-| 0.0598        | 2.0   | 1206 | 0.0948          | 0.9787    | 0.9806 | 0.9797 | 0.9792   |
-| 0.0348        | 3.0   | 1809 | 0.0903          | 0.9794    | 0.9823 | 0.9808 | 0.9817   |
+| 0.4515        | 1.0   | 603  | 0.1079          | 0.9737    | 0.9760 | 0.9749 | 0.9763   |
+| 0.0607        | 2.0   | 1206 | 0.0957          | 0.9785    | 0.9803 | 0.9794 | 0.9798   |
+| 0.0344        | 3.0   | 1809 | 0.0894          | 0.9797    | 0.9815 | 0.9806 | 0.9811   |
 
 
 ### Framework versions
 
 - Transformers 4.44.2
-- Pytorch 2.4.1+cu121
-- Datasets 3.0.1
+- Pytorch 2.5.0+cu121
+- Datasets 3.0.2
 - Tokenizers 0.19.1

runs/Oct28_12-54-21_4226ec852e37/events.out.tfevents.1730120075.4226ec852e37.15072.1

@@ -1,3 +1,3 @@
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+size 9368