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: 1.0929
-- Accuracy: 0.913
+- Loss: 0.4978
+- Accuracy: 0.9443
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 235  | 3.5874          | 0.701    |
-| No log        | 2.0   | 470  | 2.3204          | 0.826    |
-| 3.6337        | 3.0   | 705  | 1.5661          | 0.8817   |
-| 3.6337        | 4.0   | 940  | 1.2010          | 0.907    |
-| 1.6164        | 5.0   | 1175 | 1.0929          | 0.913    |
+| No log        | 1.0   | 235  | 1.9929          | 0.862    |
+| No log        | 2.0   | 470  | 1.0992          | 0.913    |
+| 2.1525        | 3.0   | 705  | 0.7000          | 0.932    |
+| 2.1525        | 4.0   | 940  | 0.5429          | 0.943    |
+| 0.7117        | 5.0   | 1175 | 0.4978          | 0.9443   |
 
 
 ### Framework versions

runs/Nov30_09-37-05_84f6243156c1/events.out.tfevents.1701338992.84f6243156c1.335.1

@@ -0,0 +1,3 @@
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+size 411