Training in progress epoch 26

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: 0.0320
-- Train End Logits Accuracy: 0.9842
-- Train Start Logits Accuracy: 0.9874
-- Validation Loss: 1.5801
-- Validation End Logits Accuracy: 0.7868
-- Validation Start Logits Accuracy: 0.7994
-- Epoch: 25
+- Train Loss: 0.0296
+- Train End Logits Accuracy: 0.9832
+- Train Start Logits Accuracy: 0.9884
+- Validation Loss: 1.6310
+- Validation End Logits Accuracy: 0.7962
+- Validation Start Logits Accuracy: 0.7962
+- Epoch: 26
 
 ## Model description
 
@@ -73,6 +73,7 @@ The following hyperparameters were used during training:
 | 0.0550     | 0.9769                    | 0.9832                      | 1.3593          | 0.7806                         | 0.8056                           | 23    |
 | 0.0399     | 0.9821                    | 0.9884                      | 1.5254          | 0.7868                         | 0.7931                           | 24    |
 | 0.0320     | 0.9842                    | 0.9874                      | 1.5801          | 0.7868                         | 0.7994                           | 25    |
+| 0.0296     | 0.9832                    | 0.9884                      | 1.6310          | 0.7962                         | 0.7962                           | 26    |
 
 
 ### Framework versions

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