Training in progress epoch 14

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: 0.3325
-- Train End Logits Accuracy: 0.8550
-- Train Start Logits Accuracy: 0.9097
-- Validation Loss: 1.1519
-- Validation End Logits Accuracy: 0.7429
-- Validation Start Logits Accuracy: 0.7900
-- Epoch: 13
+- Train Loss: 0.3115
+- Train End Logits Accuracy: 0.8739
+- Train Start Logits Accuracy: 0.9076
+- Validation Loss: 1.1423
+- Validation End Logits Accuracy: 0.7586
+- Validation Start Logits Accuracy: 0.7868
+- Epoch: 14
 
 ## Model description
 
@@ -61,6 +61,7 @@ The following hyperparameters were used during training:
 | 0.3804     | 0.8319                    | 0.8897                      | 1.1256          | 0.7335                         | 0.7900                           | 11    |
 | 0.3831     | 0.8456                    | 0.8834                      | 1.1614          | 0.7429                         | 0.7931                           | 12    |
 | 0.3325     | 0.8550                    | 0.9097                      | 1.1519          | 0.7429                         | 0.7900                           | 13    |
+| 0.3115     | 0.8739                    | 0.9076                      | 1.1423          | 0.7586                         | 0.7868                           | 14    |
 
 
 ### Framework versions

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