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: 0.6406
-- Matthews Correlation: 0.3818
+- Loss: 0.6604
+- Matthews Correlation: 0.3585
 
 ## Model description
 
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
 |:-------------:|:-----:|:----:|:---------------:|:--------------------:|
-| 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               |
+| No log        | 1.0   | 54   | 0.6000          | 0.0                  |
+| No log        | 2.0   | 108  | 0.5476          | 0.3388               |
+| No log        | 3.0   | 162  | 0.5828          | 0.3290               |
+| No log        | 4.0   | 216  | 0.6280          | 0.3531               |
+| No log        | 5.0   | 270  | 0.6604          | 0.3585               |
 
 
 ### Framework versions

model.safetensors

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 size 267832560

runs/Feb28_19-52-39_5620ed9b2fff/events.out.tfevents.1709150199.5620ed9b2fff.209.18

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+oid sha256:58c61805f2b3ba17c68fdf7f958bff187491a9a25698b37be75fc8f54b0833df
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