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: 0.4792
-- Matthews Correlation: 0.5303
+- Loss: 0.6406
+- Matthews Correlation: 0.3818
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 0.5272        | 1.0   | 535  | 0.4706          | 0.4451               |
-| 0.3562        | 2.0   | 1070 | 0.4792          | 0.5303               |
-| 0.2428        | 3.0   | 1605 | 0.6551          | 0.5132               |
-| 0.1828        | 4.0   | 2140 | 0.8173          | 0.5267               |
-| 0.1384        | 5.0   | 2675 | 0.8531          | 0.5153               |
+| No log        | 1.0   | 54   | 0.5371          | 0.3306               |
+| No log        | 2.0   | 108  | 0.5745          | 0.3587               |
+| No log        | 3.0   | 162  | 0.6406          | 0.3818               |
+| No log        | 4.0   | 216  | 0.7317          | 0.3704               |
+| No log        | 5.0   | 270  | 0.8077          | 0.3647               |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
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 size 267832560

runs/Feb28_19-25-20_5620ed9b2fff/events.out.tfevents.1709148823.5620ed9b2fff.209.16

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