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: 1.2802
-- Train End Logits Accuracy: 0.5927
-- Train Start Logits Accuracy: 0.6013
-- Validation Loss: 1.3274
-- Validation End Logits Accuracy: 0.6270
-- Validation Start Logits Accuracy: 0.6364
-- Epoch: 5
+- Train Loss: 1.1079
+- Train End Logits Accuracy: 0.6595
+- Train Start Logits Accuracy: 0.6455
+- Validation Loss: 1.2126
+- Validation End Logits Accuracy: 0.6520
+- Validation Start Logits Accuracy: 0.6865
+- Epoch: 6
 
 ## Model description
 
@@ -53,6 +53,7 @@ The following hyperparameters were used during training:
 | 1.9078     | 0.4871                    | 0.4397                      | 1.7322          | 0.5204                         | 0.5705                           | 3     |
 | 1.5135     | 0.5593                    | 0.5700                      | 1.4332          | 0.6050                         | 0.6238                           | 4     |
 | 1.2802     | 0.5927                    | 0.6013                      | 1.3274          | 0.6270                         | 0.6364                           | 5     |
+| 1.1079     | 0.6595                    | 0.6455                      | 1.2126          | 0.6520                         | 0.6865                           | 6     |
 
 
 ### Framework versions

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