End of training

README.md

@@ -14,9 +14,10 @@ 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:
-- Train Loss: 0.5176
-- Validation Loss: 0.4738
-- Epoch: 0
+- Train Loss: 0.1897
+- Validation Loss: 0.5475
+- Epoch: 2
+- Train Matthews Correlation: 0.5252
 
 ## Model description
 
@@ -40,9 +41,11 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Train Loss | Validation Loss | Epoch |
-|:----------:|:---------------:|:-----:|
-| 0.5176     | 0.4738          | 0     |
+| Train Loss | Validation Loss | Epoch | Train Matthews Correlation |
+|:----------:|:---------------:|:-----:|:--------------------------:|
+| 0.5176     | 0.4738          | 0     | 0.4421                     |
+| 0.3265     | 0.5332          | 1     | 0.4887                     |
+| 0.1897     | 0.5475          | 2     | 0.5252                     |
 
 
 ### Framework versions

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