Training in progress epoch 19

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: 0.2342
-- Train End Logits Accuracy: 0.9044
-- Train Start Logits Accuracy: 0.9370
-- Validation Loss: 1.1433
+- Train Loss: 0.2049
+- Train End Logits Accuracy: 0.9254
+- Train Start Logits Accuracy: 0.9391
+- Validation Loss: 1.1689
 - Validation End Logits Accuracy: 0.7680
-- Validation Start Logits Accuracy: 0.8088
-- Epoch: 18
+- Validation Start Logits Accuracy: 0.7994
+- Epoch: 19
 
 ## Model description
 
@@ -66,6 +66,7 @@ The following hyperparameters were used during training:
 | 0.2751     | 0.8834                    | 0.9181                      | 1.1135          | 0.7712                         | 0.8119                           | 16    |
 | 0.2441     | 0.8918                    | 0.9296                      | 1.1771          | 0.7524                         | 0.7900                           | 17    |
 | 0.2342     | 0.9044                    | 0.9370                      | 1.1433          | 0.7680                         | 0.8088                           | 18    |
+| 0.2049     | 0.9254                    | 0.9391                      | 1.1689          | 0.7680                         | 0.7994                           | 19    |
 
 
 ### Framework versions

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