Training in progress epoch 6

README.md

@@ -16,13 +16,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0174
+- Train Loss: 0.0168
 - Validation Loss: 0.0518
 - Train Precision: 0.8
 - Train Recall: 0.8640
 - Train F1: 0.8308
 - Train Accuracy: 0.9860
-- Epoch: 5
+- Epoch: 6
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.0166     | 0.0518          | 0.8             | 0.8640       | 0.8308   | 0.9860         | 3     |
 | 0.0173     | 0.0518          | 0.8             | 0.8640       | 0.8308   | 0.9860         | 4     |
 | 0.0174     | 0.0518          | 0.8             | 0.8640       | 0.8308   | 0.9860         | 5     |
+| 0.0168     | 0.0518          | 0.8             | 0.8640       | 0.8308   | 0.9860         | 6     |
 
 
 ### Framework versions