End of training

README.md

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4557
-- Accuracy: 0.8259
+- Loss: 0.4452
+- Accuracy: 0.8265
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.723         | 1.0   | 591  | 0.4755          | 0.8143   |
-| 0.4226        | 2.0   | 1182 | 0.4557          | 0.8259   |
+| 0.7247        | 1.0   | 591  | 0.4752          | 0.8146   |
+| 0.4141        | 2.0   | 1182 | 0.4452          | 0.8265   |
 
 
 ### Framework versions

model.safetensors

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runs/Feb26_05-18-37_182a3d24f4fa/events.out.tfevents.1708924718.182a3d24f4fa.1603.0

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training_args.bin

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