Training in progress epoch 6

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: 0.3834
-- Train End Logits Accuracy: 0.8813
-- Train Start Logits Accuracy: 0.8687
-- Validation Loss: 1.1209
-- Validation End Logits Accuracy: 0.7586
-- Validation Start Logits Accuracy: 0.7712
-- Epoch: 5
+- 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
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 0.5528     | 0.7836                    | 0.8319                      | 1.2436          | 0.7116                         | 0.7712                           | 3     |
 | 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     |
 
 
 ### Framework versions

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