End of training

README.md

@@ -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: 0.0130
-- Accuracy: 97.9764
-- Gen Len: 7.6358
+- Loss: 0.0099
+- Accuracy: 98.0607
+- Gen Len: 7.6282
 
 ## Model description
 
@@ -48,15 +48,15 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| 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  |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | Gen Len |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:-------:|
+| 0.0201        | 1.0   | 2500 | 0.0213          | 95.2782  | 7.5936  |
+| 0.0046        | 2.0   | 5000 | 0.0099          | 98.0607  | 7.6282  |
 
 
 ### Framework versions
 
 - Transformers 4.44.0
-- Pytorch 2.5.1+cu121
-- Datasets 3.3.0
+- Pytorch 2.5.1+cu124
+- Datasets 3.3.1
 - Tokenizers 0.19.1

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