Training in progress epoch 13

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: 0.1313
-- 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
+- Train Loss: 0.1301
+- Train End Logits Accuracy: 0.9517
+- Train Start Logits Accuracy: 0.9590
+- Validation Loss: 1.1851
+- Validation End Logits Accuracy: 0.7774
+- Validation Start Logits Accuracy: 0.8150
+- Epoch: 13
 
 ## Model description
 
@@ -60,6 +60,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.1301     | 0.9517                    | 0.9590                      | 1.1851          | 0.7774                         | 0.8150                           | 13    |
 
 
 ### Framework versions

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