Training in progress epoch 41

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: 0.1024
-- Train End Logits Accuracy: 0.9590
-- Train Start Logits Accuracy: 0.9674
-- Validation Loss: 1.2528
-- Validation End Logits Accuracy: 0.7994
-- Validation Start Logits Accuracy: 0.8056
-- Epoch: 40
+- Train Loss: 0.0917
+- Train End Logits Accuracy: 0.9548
+- Train Start Logits Accuracy: 0.9716
+- Validation Loss: 1.2506
+- Validation End Logits Accuracy: 0.7931
+- Validation Start Logits Accuracy: 0.8088
+- Epoch: 41
 
 ## Model description
 
@@ -88,6 +88,7 @@ The following hyperparameters were used during training:
 | 0.1000     | 0.9559                    | 0.9664                      | 1.2422          | 0.7962                         | 0.8056                           | 38    |
 | 0.0989     | 0.9601                    | 0.9653                      | 1.2620          | 0.8025                         | 0.8056                           | 39    |
 | 0.1024     | 0.9590                    | 0.9674                      | 1.2528          | 0.7994                         | 0.8056                           | 40    |
+| 0.0917     | 0.9548                    | 0.9716                      | 1.2506          | 0.7931                         | 0.8088                           | 41    |
 
 
 ### Framework versions

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