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: 0.0254
-- Train End Logits Accuracy: 0.9863
-- Train Start Logits Accuracy: 0.9895
-- Validation Loss: 1.7564
+- Train Loss: 0.0255
+- Train End Logits Accuracy: 0.9853
+- Train Start Logits Accuracy: 0.9937
+- Validation Loss: 1.6061
 - Validation End Logits Accuracy: 0.7774
-- Validation Start Logits Accuracy: 0.7931
-- Epoch: 28
+- Validation Start Logits Accuracy: 0.7962
+- Epoch: 29
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.0296     | 0.9832                    | 0.9884                      | 1.6310          | 0.7962                         | 0.7962                           | 26    |
 | 0.0307     | 0.9863                    | 0.9926                      | 1.4756          | 0.7774                         | 0.7900                           | 27    |
 | 0.0254     | 0.9863                    | 0.9895                      | 1.7564          | 0.7774                         | 0.7931                           | 28    |
+| 0.0255     | 0.9853                    | 0.9937                      | 1.6061          | 0.7774                         | 0.7962                           | 29    |
 
 
 ### Framework versions

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