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: 0.3673
-- Validation Loss: 0.4657
-- Train F1: 0.6980
-- Epoch: 0
+- Train Loss: 0.2047
+- Validation Loss: 0.4580
+- Train F1: 0.7711
+- Epoch: 2
 
 ## Model description
 
@@ -44,6 +44,8 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train F1 | Epoch |
 |:----------:|:---------------:|:--------:|:-----:|
 | 0.3673     | 0.4657          | 0.6980   | 0     |
+| 0.2394     | 0.4580          | 0.7711   | 1     |
+| 0.2047     | 0.4580          | 0.7711   | 2     |
 
 
 ### Framework versions

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tf_model.h5

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