Training in progress epoch 24

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: 0.3672
-- Train End Logits Accuracy: 0.8524
-- Train Start Logits Accuracy: 0.8836
-- Validation Loss: 1.0040
-- Validation End Logits Accuracy: 0.7837
-- Validation Start Logits Accuracy: 0.7994
-- Epoch: 23
+- Train Loss: 0.3409
+- Train End Logits Accuracy: 0.8675
+- Train Start Logits Accuracy: 0.8825
+- Validation Loss: 1.0242
+- Validation End Logits Accuracy: 0.7900
+- Validation Start Logits Accuracy: 0.8088
+- Epoch: 24
 
 ## Model description
 
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 | 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    |
+| 0.3409     | 0.8675                    | 0.8825                      | 1.0242          | 0.7900                         | 0.8088                           | 24    |
 
 
 ### Framework versions

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