End of training

README.md

@@ -4,7 +4,7 @@ base_model: google/flan-t5-large
 tags:
 - generated_from_trainer
 metrics:
-- f1
+- accuracy
 model-index:
 - name: flan-t5-large-proverb-es-classification-text-out
   results: []
@@ -17,9 +17,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [google/flan-t5-large](https://huggingface.co/google/flan-t5-large) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0260
-- F1: 91.8316
-- Gen Len: 7.6197
+- Loss: 0.0130
+- Accuracy: 97.9764
+- Gen Len: 7.6358
 
 ## Model description
 
@@ -48,15 +48,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Validation Loss | F1      | Gen Len |
-|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|
-| 0.0416        | 1.0   | 2668 | 0.0250          | 91.268  | 7.6408  |
-| 0.0159        | 2.0   | 5336 | 0.0260          | 91.8316 | 7.6197  |
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Gen Len |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|:-------:|
+| 0.0157        | 1.0   | 5000  | 0.0170          | 97.2175  | 7.6501  |
+| 0.0025        | 2.0   | 10000 | 0.0130          | 97.9764  | 7.6358  |
 
 
 ### Framework versions
 
 - Transformers 4.44.0
-- Pytorch 2.5.1+cu124
-- Datasets 3.2.0
+- Pytorch 2.5.1+cu121
+- Datasets 3.3.0
 - Tokenizers 0.19.1

logs/events.out.tfevents.1739645109.7e4d01fd2408.636.1

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