Training in progress epoch 23

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: 0.0668
-- Train End Logits Accuracy: 0.9685
-- Train Start Logits Accuracy: 0.9811
-- Validation Loss: 1.3480
+- 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: 0.7962
-- Epoch: 21
+- Validation Start Logits Accuracy: 0.8056
+- Epoch: 23
 
 ## Model description
 
@@ -69,6 +69,8 @@ The following hyperparameters were used during training:
 | 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    |
+| 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    |
 
 
 ### Framework versions

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