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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4430
-- Accuracy: 0.8072
+- Loss: 0.3147
+- Accuracy: 0.8799
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.4368        | 1.0   | 1563 | 0.4204          | 0.8017   |
-| 0.3216        | 2.0   | 3126 | 0.4430          | 0.8072   |
+| No log        | 1.0   | 192  | 0.3343          | 0.8786   |
+| No log        | 2.0   | 384  | 0.3147          | 0.8799   |
 
 
 ### Framework versions

model.safetensors

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runs/Mar26_13-42-50_423a215ba150/events.out.tfevents.1711460570.423a215ba150.413.2

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