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: 0.0137
-- Train End Logits Accuracy: 0.9905
+- Train Loss: 0.0160
+- Train End Logits Accuracy: 0.9874
 - Train Start Logits Accuracy: 0.9958
-- Validation Loss: 1.7666
-- Validation End Logits Accuracy: 0.7900
-- Validation Start Logits Accuracy: 0.7931
-- Epoch: 40
+- Validation Loss: 1.7644
+- Validation End Logits Accuracy: 0.7868
+- Validation Start Logits Accuracy: 0.7962
+- Epoch: 41
 
 ## Model description
 
@@ -88,6 +88,7 @@ The following hyperparameters were used during training:
 | 0.0148     | 0.9905                    | 0.9947                      | 1.8678          | 0.7868                         | 0.7931                           | 38    |
 | 0.0117     | 0.9884                    | 0.9968                      | 1.7944          | 0.7868                         | 0.7900                           | 39    |
 | 0.0137     | 0.9905                    | 0.9958                      | 1.7666          | 0.7900                         | 0.7931                           | 40    |
+| 0.0160     | 0.9874                    | 0.9958                      | 1.7644          | 0.7868                         | 0.7962                           | 41    |
 
 
 ### Framework versions

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