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: 0.8046
-- Accuracy: 0.7143
+- Loss: 1.2822
+- Accuracy: 0.5714
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.8537        | 1.0   | 35   | 1.4036          | 0.6825   |
-| 1.2728        | 2.0   | 70   | 0.9968          | 0.7143   |
-| 1.0155        | 3.0   | 105  | 0.8658          | 0.7302   |
-| 0.9002        | 4.0   | 140  | 0.8246          | 0.7143   |
-| 0.8309        | 5.0   | 175  | 0.8046          | 0.7143   |
+| 1.8415        | 1.0   | 40   | 1.7006          | 0.4857   |
+| 1.2881        | 2.0   | 80   | 1.4253          | 0.5429   |
+| 1.0377        | 3.0   | 120  | 1.3386          | 0.5571   |
+| 0.9304        | 4.0   | 160  | 1.2904          | 0.5714   |
+| 0.9074        | 5.0   | 200  | 1.2822          | 0.5714   |
 
 
 ### Framework versions

model.safetensors

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runs/Jan08_19-00-13_087efcd22ea1/events.out.tfevents.1704740426.087efcd22ea1.915.3

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training_args.bin

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