Training complete

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [mrm8488/electricidad-base-discriminator](https://huggingface.co/mrm8488/electricidad-base-discriminator) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3631
-- Accuracy: 0.9251
+- Loss: 0.3482
+- Accuracy: 0.9289
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3222        | 1.0   | 6735  | 0.3439          | 0.9045   |
-| 0.2449        | 2.0   | 13470 | 0.3593          | 0.9192   |
-| 0.1631        | 3.0   | 20205 | 0.3631          | 0.9251   |
+| 0.3103        | 1.0   | 6735  | 0.3362          | 0.9074   |
+| 0.221         | 2.0   | 13470 | 0.3536          | 0.9225   |
+| 0.1501        | 3.0   | 20205 | 0.3482          | 0.9289   |
 
 
 ### Framework versions

model.safetensors

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training_args.bin

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