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/distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1649
-- Accuracy: 0.9347
+- Loss: 0.1086
+- Accuracy: 0.9645
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.2215        | 1.0   | 1050 | 0.1727          | 0.9260   |
-| 0.1358        | 2.0   | 2100 | 0.1649          | 0.9347   |
+| 0.1999        | 1.0   | 831  | 0.1077          | 0.9614   |
+| 0.0707        | 2.0   | 1662 | 0.1086          | 0.9645   |
 
 
 ### Framework versions

model.safetensors

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runs/Mar31_01-27-57_ecc209fe4b85/events.out.tfevents.1711848478.ecc209fe4b85.34.0

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