Training in progress epoch 24

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: 0.0550
-- Train End Logits Accuracy: 0.9769
-- Train Start Logits Accuracy: 0.9832
-- Validation Loss: 1.3593
-- Validation End Logits Accuracy: 0.7806
-- Validation Start Logits Accuracy: 0.8056
-- Epoch: 23
+- Train Loss: 0.0399
+- Train End Logits Accuracy: 0.9821
+- Train Start Logits Accuracy: 0.9884
+- Validation Loss: 1.5254
+- Validation End Logits Accuracy: 0.7868
+- Validation Start Logits Accuracy: 0.7931
+- Epoch: 24
 
 ## Model description
 
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 | 0.0668     | 0.9685                    | 0.9811                      | 1.3480          | 0.7806                         | 0.7962                           | 21    |
 | 0.0567     | 0.9769                    | 0.9800                      | 1.3820          | 0.7900                         | 0.8088                           | 22    |
 | 0.0550     | 0.9769                    | 0.9832                      | 1.3593          | 0.7806                         | 0.8056                           | 23    |
+| 0.0399     | 0.9821                    | 0.9884                      | 1.5254          | 0.7868                         | 0.7931                           | 24    |
 
 
 ### Framework versions

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