Training in progress epoch 8

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: 0.5989
-- Train End Logits Accuracy: 0.7721
-- Train Start Logits Accuracy: 0.8403
-- Validation Loss: 1.0787
-- Validation End Logits Accuracy: 0.7304
-- Validation Start Logits Accuracy: 0.7649
-- Epoch: 7
+- Train Loss: 0.4988
+- Train End Logits Accuracy: 0.8057
+- Train Start Logits Accuracy: 0.8582
+- Validation Loss: 1.1091
+- Validation End Logits Accuracy: 0.7398
+- Validation Start Logits Accuracy: 0.7618
+- Epoch: 8
 
 ## Model description
 
@@ -55,6 +55,7 @@ The following hyperparameters were used during training:
 | 0.7470     | 0.7258                    | 0.7910                      | 1.0674          | 0.7147                         | 0.7524                           | 5     |
 | 0.6728     | 0.7426                    | 0.8088                      | 1.0843          | 0.7116                         | 0.7680                           | 6     |
 | 0.5989     | 0.7721                    | 0.8403                      | 1.0787          | 0.7304                         | 0.7649                           | 7     |
+| 0.4988     | 0.8057                    | 0.8582                      | 1.1091          | 0.7398                         | 0.7618                           | 8     |
 
 
 ### Framework versions

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