Training in progress epoch 16

README.md

@@ -15,13 +15,13 @@ 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: 0.5119
-- Train End Logits Accuracy: 0.8233
-- Train Start Logits Accuracy: 0.8362
-- Validation Loss: 0.9956
-- Validation End Logits Accuracy: 0.7524
-- Validation Start Logits Accuracy: 0.7837
-- Epoch: 15
+- Train Loss: 0.4916
+- Train End Logits Accuracy: 0.8330
+- Train Start Logits Accuracy: 0.8599
+- Validation Loss: 0.9917
+- Validation End Logits Accuracy: 0.7398
+- Validation Start Logits Accuracy: 0.8025
+- Epoch: 16
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 0.5949     | 0.8006                    | 0.8050                      | 0.9877          | 0.7586                         | 0.7774                           | 13    |
 | 0.5471     | 0.8125                    | 0.8244                      | 0.9933          | 0.7398                         | 0.7774                           | 14    |
 | 0.5119     | 0.8233                    | 0.8362                      | 0.9956          | 0.7524                         | 0.7837                           | 15    |
+| 0.4916     | 0.8330                    | 0.8599                      | 0.9917          | 0.7398                         | 0.8025                           | 16    |
 
 
 ### Framework versions

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