Training in progress epoch 16

README.md

@@ -15,11 +15,11 @@ 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: 0.0144
-- Train Accuracy: 0.9906
-- Validation Loss: 0.6905
+- Train Loss: 0.0142
+- Train Accuracy: 0.9923
+- Validation Loss: 0.7089
 - Validation Accuracy: 0.8797
-- Epoch: 15
+- Epoch: 16
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.0155     | 0.9908         | 0.6727          | 0.8872              | 13    |
 | 0.0149     | 0.9904         | 0.6798          | 0.8835              | 14    |
 | 0.0144     | 0.9906         | 0.6905          | 0.8797              | 15    |
+| 0.0142     | 0.9923         | 0.7089          | 0.8797              | 16    |
 
 
 ### Framework versions

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