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-cased](https://huggingface.co/distilbert-base-cased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 0.0331
-- Train End Logits Accuracy: 0.9900
-- Train Start Logits Accuracy: 0.9894
-- Validation Loss: 4.4083
-- Validation End Logits Accuracy: 0.5420
-- Validation Start Logits Accuracy: 0.4962
-- Epoch: 23
+- Train Loss: 0.0274
+- Train End Logits Accuracy: 0.9922
+- Train Start Logits Accuracy: 0.9914
+- Validation Loss: 4.5627
+- Validation End Logits Accuracy: 0.5455
+- Validation Start Logits Accuracy: 0.5023
+- Epoch: 24
 
 ## Model description
 
@@ -71,6 +71,7 @@ The following hyperparameters were used during training:
 | 0.0464     | 0.9864                    | 0.9848                      | 4.2565          | 0.5446                         | 0.4999                           | 21    |
 | 0.0388     | 0.9889                    | 0.9864                      | 4.3063          | 0.5329                         | 0.4941                           | 22    |
 | 0.0331     | 0.9900                    | 0.9894                      | 4.4083          | 0.5420                         | 0.4962                           | 23    |
+| 0.0274     | 0.9922                    | 0.9914                      | 4.5627          | 0.5455                         | 0.5023                           | 24    |
 
 
 ### Framework versions

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