Training in progress epoch 11

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: 0.4173
-- Train End Logits Accuracy: 0.8256
-- Train Start Logits Accuracy: 0.8782
-- Validation Loss: 1.1434
+- Train Loss: 0.3804
+- Train End Logits Accuracy: 0.8319
+- Train Start Logits Accuracy: 0.8897
+- Validation Loss: 1.1256
 - Validation End Logits Accuracy: 0.7335
-- Validation Start Logits Accuracy: 0.7774
-- Epoch: 10
+- Validation Start Logits Accuracy: 0.7900
+- Epoch: 11
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.4988     | 0.8057                    | 0.8582                      | 1.1091          | 0.7398                         | 0.7618                           | 8     |
 | 0.4674     | 0.8214                    | 0.8540                      | 1.1150          | 0.7367                         | 0.7774                           | 9     |
 | 0.4173     | 0.8256                    | 0.8782                      | 1.1434          | 0.7335                         | 0.7774                           | 10    |
+| 0.3804     | 0.8319                    | 0.8897                      | 1.1256          | 0.7335                         | 0.7900                           | 11    |
 
 
 ### Framework versions

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