Training in progress epoch 29

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: 0.1221
-- Train End Logits Accuracy: 0.9485
+- Train Loss: 0.1373
+- Train End Logits Accuracy: 0.9349
 - Train Start Logits Accuracy: 0.9601
-- Validation Loss: 1.1996
+- Validation Loss: 1.2201
 - Validation End Logits Accuracy: 0.7806
-- Validation Start Logits Accuracy: 0.8088
-- Epoch: 28
+- Validation Start Logits Accuracy: 0.8056
+- Epoch: 29
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.1568     | 0.9286                    | 0.9580                      | 1.1909          | 0.7900                         | 0.8056                           | 26    |
 | 0.1536     | 0.9244                    | 0.9590                      | 1.2054          | 0.7868                         | 0.8182                           | 27    |
 | 0.1221     | 0.9485                    | 0.9601                      | 1.1996          | 0.7806                         | 0.8088                           | 28    |
+| 0.1373     | 0.9349                    | 0.9601                      | 1.2201          | 0.7806                         | 0.8056                           | 29    |
 
 
 ### Framework versions

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