Training in progress epoch 1

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: 0.6879
-- Validation Loss: 0.6976
+- Train Loss: 0.6865
+- Validation Loss: 0.6978
 - Train Accuracy: 0.4908
-- Epoch: 0
+- Epoch: 1
 
 ## Model description
 
@@ -44,6 +44,7 @@ The following hyperparameters were used during training:
 | Train Loss | Validation Loss | Train Accuracy | Epoch |
 |:----------:|:---------------:|:--------------:|:-----:|
 | 0.6879     | 0.6976          | 0.4908         | 0     |
+| 0.6865     | 0.6978          | 0.4908         | 1     |
 
 
 ### Framework versions

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tf_model.h5

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