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: 1.4197
-- Accuracy: 0.4503
+- Loss: 1.4263
+- Accuracy: 0.4232
 
 ## Model description
 
@@ -49,9 +49,9 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 388  | 1.3400          | 0.4052   |
-| 1.3886        | 2.0   | 776  | 1.2878          | 0.4387   |
-| 0.9608        | 3.0   | 1164 | 1.4197          | 0.4503   |
+| No log        | 1.0   | 388  | 1.3924          | 0.3548   |
+| 1.4491        | 2.0   | 776  | 1.3114          | 0.4219   |
+| 0.9861        | 3.0   | 1164 | 1.4263          | 0.4232   |
 
 
 ### Framework versions

model.safetensors

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 size 439443036

training_args.bin

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 size 4600