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: 0.7470
-- Train End Logits Accuracy: 0.7258
-- Train Start Logits Accuracy: 0.7910
-- Validation Loss: 1.0674
-- Validation End Logits Accuracy: 0.7147
-- Validation Start Logits Accuracy: 0.7524
-- Epoch: 5
+- Train Loss: 0.6728
+- Train End Logits Accuracy: 0.7426
+- Train Start Logits Accuracy: 0.8088
+- Validation Loss: 1.0843
+- Validation End Logits Accuracy: 0.7116
+- Validation Start Logits Accuracy: 0.7680
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.0892     | 0.6313                    | 0.6891                      | 1.1850          | 0.6677                         | 0.6865                           | 3     |
 | 0.9172     | 0.6870                    | 0.7405                      | 1.1305          | 0.6771                         | 0.7335                           | 4     |
 | 0.7470     | 0.7258                    | 0.7910                      | 1.0674          | 0.7147                         | 0.7524                           | 5     |
+| 0.6728     | 0.7426                    | 0.8088                      | 1.0843          | 0.7116                         | 0.7680                           | 6     |
 
 
 ### Framework versions

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tf_model.h5

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