Training in progress epoch 7

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: 0.3678
-- Train End Logits Accuracy: 0.8634
-- Train Start Logits Accuracy: 0.8876
-- Validation Loss: 1.2341
-- Validation End Logits Accuracy: 0.7618
-- Validation Start Logits Accuracy: 0.7649
-- Epoch: 6
+- Train Loss: 0.2555
+- Train End Logits Accuracy: 0.9044
+- Train Start Logits Accuracy: 0.9181
+- Validation Loss: 1.1561
+- Validation End Logits Accuracy: 0.7649
+- Validation Start Logits Accuracy: 0.8056
+- Epoch: 7
 
 ## Model description
 
@@ -54,6 +54,7 @@ The following hyperparameters were used during training:
 | 0.4667     | 0.8340                    | 0.8435                      | 1.0705          | 0.7524                         | 0.7555                           | 4     |
 | 0.3834     | 0.8813                    | 0.8687                      | 1.1209          | 0.7586                         | 0.7712                           | 5     |
 | 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     |
 
 
 ### Framework versions

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