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 an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2801
-- Accuracy: 0.8875
+- Loss: 0.2751
+- Accuracy: 0.8912
 
 ## Model description
 
@@ -49,8 +49,8 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 150  | 0.3166          | 0.8762   |
-| No log        | 2.0   | 300  | 0.2801          | 0.8875   |
+| No log        | 1.0   | 150  | 0.3110          | 0.8788   |
+| No log        | 2.0   | 300  | 0.2751          | 0.8912   |
 
 
 ### Framework versions

model.safetensors

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runs/Dec08_02-38-32_976c6afc8ccc/events.out.tfevents.1702003119.976c6afc8ccc.6587.0

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training_args.bin

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