Training in progress epoch 21

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: 0.0497
-- Train End Logits Accuracy: 0.9758
-- Train Start Logits Accuracy: 0.9821
-- Validation Loss: 1.5655
-- Validation End Logits Accuracy: 0.7962
-- Validation Start Logits Accuracy: 0.8119
-- Epoch: 20
+- Train Loss: 0.0668
+- Train End Logits Accuracy: 0.9685
+- Train Start Logits Accuracy: 0.9811
+- Validation Loss: 1.3480
+- Validation End Logits Accuracy: 0.7806
+- Validation Start Logits Accuracy: 0.7962
+- Epoch: 21
 
 ## Model description
 
@@ -68,6 +68,7 @@ The following hyperparameters were used during training:
 | 0.0752     | 0.9674                    | 0.9790                      | 1.4401          | 0.7931                         | 0.7994                           | 18    |
 | 0.0604     | 0.9737                    | 0.9779                      | 1.6410          | 0.7962                         | 0.8088                           | 19    |
 | 0.0497     | 0.9758                    | 0.9821                      | 1.5655          | 0.7962                         | 0.8119                           | 20    |
+| 0.0668     | 0.9685                    | 0.9811                      | 1.3480          | 0.7806                         | 0.7962                           | 21    |
 
 
 ### Framework versions

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