Training in progress epoch 9

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: 0.2151
-- Train End Logits Accuracy: 0.9160
-- Train Start Logits Accuracy: 0.9328
-- Validation Loss: 1.0908
-- Validation End Logits Accuracy: 0.7931
-- Validation Start Logits Accuracy: 0.7994
-- Epoch: 8
+- Train Loss: 0.1855
+- Train End Logits Accuracy: 0.9286
+- Train Start Logits Accuracy: 0.9475
+- Validation Loss: 1.2809
+- Validation End Logits Accuracy: 0.7994
+- Validation Start Logits Accuracy: 0.7774
+- Epoch: 9
 
 ## Model description
 
@@ -56,6 +56,7 @@ The following hyperparameters were used during training:
 | 0.3678     | 0.8634                    | 0.8876                      | 1.2341          | 0.7618                         | 0.7649                           | 6     |
 | 0.2555     | 0.9044                    | 0.9181                      | 1.1561          | 0.7649                         | 0.8056                           | 7     |
 | 0.2151     | 0.9160                    | 0.9328                      | 1.0908          | 0.7931                         | 0.7994                           | 8     |
+| 0.1855     | 0.9286                    | 0.9475                      | 1.2809          | 0.7994                         | 0.7774                           | 9     |
 
 
 ### Framework versions

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