Training in progress epoch 29

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: 0.3026
-- Train End Logits Accuracy: 0.8804
-- Train Start Logits Accuracy: 0.9084
-- Validation Loss: 1.0224
-- Validation End Logits Accuracy: 0.7774
-- Validation Start Logits Accuracy: 0.8088
-- Epoch: 28
+- Train Loss: 0.2896
+- Train End Logits Accuracy: 0.8879
+- Train Start Logits Accuracy: 0.9009
+- Validation Loss: 1.0324
+- Validation End Logits Accuracy: 0.7649
+- Validation Start Logits Accuracy: 0.8182
+- Epoch: 29
 
 ## Model description
 
@@ -76,6 +76,7 @@ The following hyperparameters were used during training:
 | 0.3324     | 0.8578                    | 0.9041                      | 1.0227          | 0.7837                         | 0.8088                           | 26    |
 | 0.3066     | 0.8858                    | 0.9159                      | 1.0243          | 0.7900                         | 0.8025                           | 27    |
 | 0.3026     | 0.8804                    | 0.9084                      | 1.0224          | 0.7774                         | 0.8088                           | 28    |
+| 0.2896     | 0.8879                    | 0.9009                      | 1.0324          | 0.7649                         | 0.8182                           | 29    |
 
 
 ### Framework versions

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