Training in progress epoch 5

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: 0.4667
-- Train End Logits Accuracy: 0.8340
-- Train Start Logits Accuracy: 0.8435
-- Validation Loss: 1.0705
-- Validation End Logits Accuracy: 0.7524
-- Validation Start Logits Accuracy: 0.7555
-- Epoch: 4
+- 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
 
 ## Model description
 
@@ -52,6 +52,7 @@ The following hyperparameters were used during training:
 | 0.7612     | 0.7269                    | 0.7647                      | 1.0245          | 0.7210                         | 0.7806                           | 2     |
 | 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     |
 
 
 ### Framework versions

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