End of training

README.md

@@ -14,10 +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: 0.5120
-- Validation Loss: 0.4736
-- Train Matthews Correlation: 0.4411
-- Epoch: 0
+- Train Loss: 0.1849
+- Validation Loss: 0.5355
+- Train Matthews Correlation: 0.5322
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
 |:----------:|:---------------:|:--------------------------:|:-----:|
 | 0.5120     | 0.4736          | 0.4411                     | 0     |
+| 0.3247     | 0.4741          | 0.4620                     | 1     |
+| 0.1849     | 0.5355          | 0.5322                     | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1650333528.ee34ce71e8bf.63.0.v2

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tf_model.h5

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