Training in progress epoch 22

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: 0.1939
-- Train End Logits Accuracy: 0.9170
-- Train Start Logits Accuracy: 0.9422
-- Validation Loss: 1.2030
-- Validation End Logits Accuracy: 0.7712
-- Validation Start Logits Accuracy: 0.8150
-- Epoch: 21
+- Train Loss: 0.1787
+- Train End Logits Accuracy: 0.9202
+- Train Start Logits Accuracy: 0.9548
+- Validation Loss: 1.2073
+- Validation End Logits Accuracy: 0.7806
+- Validation Start Logits Accuracy: 0.8056
+- Epoch: 22
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 0.2049     | 0.9254                    | 0.9391                      | 1.1689          | 0.7680                         | 0.7994                           | 19    |
 | 0.2029     | 0.9170                    | 0.9475                      | 1.1659          | 0.8025                         | 0.8150                           | 20    |
 | 0.1939     | 0.9170                    | 0.9422                      | 1.2030          | 0.7712                         | 0.8150                           | 21    |
+| 0.1787     | 0.9202                    | 0.9548                      | 1.2073          | 0.7806                         | 0.8056                           | 22    |
 
 
 ### Framework versions

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