Training completed!

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: 0.7730
-- Accuracy: 0.9161
+- Loss: 0.7682
+- Accuracy: 0.9184
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 4.2931        | 1.0   | 318  | 3.2776          | 0.7287   |
-| 2.6159        | 2.0   | 636  | 1.8647          | 0.8358   |
-| 1.5408        | 3.0   | 954  | 1.1524          | 0.8977   |
-| 1.0099        | 4.0   | 1272 | 0.8547          | 0.9129   |
-| 0.794         | 5.0   | 1590 | 0.7730          | 0.9161   |
+| 4.2967        | 1.0   | 318  | 3.2810          | 0.7181   |
+| 2.6146        | 2.0   | 636  | 1.8653          | 0.8403   |
+| 1.5377        | 3.0   | 954  | 1.1478          | 0.8981   |
+| 1.0043        | 4.0   | 1272 | 0.8491          | 0.9135   |
+| 0.7902        | 5.0   | 1590 | 0.7682          | 0.9184   |
 
 
 ### Framework versions

model.safetensors

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runs/Jan20_09-57-41_2da99c5175db/events.out.tfevents.1705744691.2da99c5175db.13219.0

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training_args.bin

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