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: 0.8375
-- Accuracy: 0.7429
+- Loss: 0.5870
+- Accuracy: 0.8077
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.385         | 1.0   | 40   | 1.0915          | 0.7429   |
-| 0.7477        | 2.0   | 80   | 0.9363          | 0.7429   |
-| 0.585         | 3.0   | 120  | 0.8967          | 0.7429   |
-| 0.4991        | 4.0   | 160  | 0.8399          | 0.7429   |
-| 0.467         | 5.0   | 200  | 0.8375          | 0.7429   |
+| 1.3895        | 1.0   | 44   | 0.9471          | 0.8205   |
+| 0.7621        | 2.0   | 88   | 0.7329          | 0.8077   |
+| 0.6022        | 3.0   | 132  | 0.6495          | 0.8077   |
+| 0.5161        | 4.0   | 176  | 0.6098          | 0.8077   |
+| 0.4606        | 5.0   | 220  | 0.5870          | 0.8077   |
 
 
 ### Framework versions

model.safetensors

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runs/Jan08_19-53-32_087efcd22ea1/events.out.tfevents.1704743621.087efcd22ea1.915.6

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training_args.bin

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