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: 0.5210
-- Validation Loss: 0.4510
-- Train Matthews Correlation: 0.4918
-- Epoch: 0
+- Train Loss: 0.1924
+- Validation Loss: 0.4890
+- Train Matthews Correlation: 0.5406
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Matthews Correlation | Epoch |
 |:----------:|:---------------:|:--------------------------:|:-----:|
 | 0.5210     | 0.4510          | 0.4918                     | 0     |
+| 0.3327     | 0.4885          | 0.5156                     | 1     |
+| 0.1924     | 0.4890          | 0.5406                     | 2     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1654521799.33e40d6e5dc0.72.0.v2

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tf_model.h5

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