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: 0.3822
-- Train End Logits Accuracy: 0.8588
-- Train Start Logits Accuracy: 0.8901
-- Validation Loss: 1.0272
-- Validation End Logits Accuracy: 0.7680
-- Validation Start Logits Accuracy: 0.7900
-- Epoch: 21
+- Train Loss: 0.3859
+- 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
 
 ## Model description
 
@@ -69,6 +69,7 @@ The following hyperparameters were used during training:
 | 0.3928     | 0.8599                    | 0.8966                      | 1.0173          | 0.7618                         | 0.7931                           | 19    |
 | 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    |
 
 
 ### Framework versions

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