End of training

README.md

@@ -14,13 +14,13 @@ 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: 0.0289
+- Train Loss: 0.0285
 - Validation Loss: 0.0612
 - Train Precision: 0.9222
 - Train Recall: 0.9358
 - Train F1: 0.9289
 - Train Accuracy: 0.9834
-- Epoch: 0
+- Epoch: 2
 
 ## Model description
 
@@ -47,6 +47,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Precision | Train Recall | Train F1 | Train Accuracy | Epoch |
 |:----------:|:---------------:|:---------------:|:------------:|:--------:|:--------------:|:-----:|
 | 0.0289     | 0.0612          | 0.9222          | 0.9358       | 0.9289   | 0.9834         | 0     |
+| 0.0284     | 0.0612          | 0.9222          | 0.9358       | 0.9289   | 0.9834         | 1     |
+| 0.0285     | 0.0612          | 0.9222          | 0.9358       | 0.9289   | 0.9834         | 2     |
 
 
 ### Framework versions

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