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: 1.4466
-- Accuracy: 0.4335
+- Loss: 1.4140
+- Accuracy: 0.4477
 
 ## 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  | 1.3184          | 0.4026   |
-| 1.3783        | 2.0   | 776  | 1.2925          | 0.4297   |
-| 0.9877        | 3.0   | 1164 | 1.4466          | 0.4335   |
+| No log        | 1.0   | 388  | 1.3447          | 0.3948   |
+| 1.4031        | 2.0   | 776  | 1.2922          | 0.4219   |
+| 1.0011        | 3.0   | 1164 | 1.4140          | 0.4477   |
 
 
 ### Framework versions

model.safetensors

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runs/Apr05_16-08-06_709b0897350e/events.out.tfevents.1712333288.709b0897350e.255.2

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training_args.bin

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