Training in progress epoch 3

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: 1.4343
-- Train End Logits Accuracy: 0.5599
-- Train Start Logits Accuracy: 0.6166
-- Validation Loss: 1.3371
-- Validation End Logits Accuracy: 0.5768
-- Validation Start Logits Accuracy: 0.6426
-- Epoch: 2
+- Train Loss: 1.0892
+- Train End Logits Accuracy: 0.6313
+- Train Start Logits Accuracy: 0.6891
+- Validation Loss: 1.1850
+- Validation End Logits Accuracy: 0.6677
+- Validation Start Logits Accuracy: 0.6865
+- Epoch: 3
 
 ## Model description
 
@@ -50,6 +50,7 @@ The following hyperparameters were used during training:
 | 3.8949     | 0.1733                    | 0.1891                      | 2.4981          | 0.3918                         | 0.3981                           | 0     |
 | 2.0479     | 0.4097                    | 0.4811                      | 1.6575          | 0.4890                         | 0.6113                           | 1     |
 | 1.4343     | 0.5599                    | 0.6166                      | 1.3371          | 0.5768                         | 0.6426                           | 2     |
+| 1.0892     | 0.6313                    | 0.6891                      | 1.1850          | 0.6677                         | 0.6865                           | 3     |
 
 
 ### Framework versions

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