Training in progress epoch 12

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: 0.1282
-- Train End Logits Accuracy: 0.9464
-- Train Start Logits Accuracy: 0.9517
-- Validation Loss: 1.4260
-- Validation End Logits Accuracy: 0.7774
-- Validation Start Logits Accuracy: 0.7837
-- Epoch: 11
+- Train Loss: 0.1313
+- Train End Logits Accuracy: 0.9443
+- Train Start Logits Accuracy: 0.9601
+- Validation Loss: 1.4537
+- Validation End Logits Accuracy: 0.7900
+- Validation Start Logits Accuracy: 0.7962
+- Epoch: 12
 
 ## Model description
 
@@ -59,6 +59,7 @@ The following hyperparameters were used during training:
 | 0.1855     | 0.9286                    | 0.9475                      | 1.2809          | 0.7994                         | 0.7774                           | 9     |
 | 0.1654     | 0.9443                    | 0.9454                      | 1.3974          | 0.7837                         | 0.7806                           | 10    |
 | 0.1282     | 0.9464                    | 0.9517                      | 1.4260          | 0.7774                         | 0.7837                           | 11    |
+| 0.1313     | 0.9443                    | 0.9601                      | 1.4537          | 0.7900                         | 0.7962                           | 12    |
 
 
 ### Framework versions

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