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: 0.3859
+- Train Loss: 0.3672
 - Train End Logits Accuracy: 0.8524
-- Train Start Logits Accuracy: 0.8879
-- Validation Loss: 1.0180
-- Validation End Logits Accuracy: 0.7555
-- Validation Start Logits Accuracy: 0.7962
-- Epoch: 22
+- Train Start Logits Accuracy: 0.8836
+- Validation Loss: 1.0040
+- Validation End Logits Accuracy: 0.7837
+- Validation Start Logits Accuracy: 0.7994
+- Epoch: 23
 
 ## Model description
 
@@ -70,6 +70,7 @@ The following hyperparameters were used during training:
 | 0.3874     | 0.8578                    | 0.8922                      | 1.0307          | 0.7649                         | 0.7931                           | 20    |
 | 0.3822     | 0.8588                    | 0.8901                      | 1.0272          | 0.7680                         | 0.7900                           | 21    |
 | 0.3859     | 0.8524                    | 0.8879                      | 1.0180          | 0.7555                         | 0.7962                           | 22    |
+| 0.3672     | 0.8524                    | 0.8836                      | 1.0040          | 0.7837                         | 0.7994                           | 23    |
 
 
 ### Framework versions

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