Training in progress epoch 31

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: 0.0214
-- Train End Logits Accuracy: 0.9863
-- Train Start Logits Accuracy: 0.9937
-- Validation Loss: 1.7697
-- Validation End Logits Accuracy: 0.7712
-- Validation Start Logits Accuracy: 0.8056
-- Epoch: 30
+- Train Loss: 0.0283
+- Train End Logits Accuracy: 0.9842
+- Train Start Logits Accuracy: 0.9863
+- Validation Loss: 1.8398
+- Validation End Logits Accuracy: 0.7806
+- Validation Start Logits Accuracy: 0.7900
+- Epoch: 31
 
 ## Model description
 
@@ -78,6 +78,7 @@ The following hyperparameters were used during training:
 | 0.0254     | 0.9863                    | 0.9895                      | 1.7564          | 0.7774                         | 0.7931                           | 28    |
 | 0.0255     | 0.9853                    | 0.9937                      | 1.6061          | 0.7774                         | 0.7962                           | 29    |
 | 0.0214     | 0.9863                    | 0.9937                      | 1.7697          | 0.7712                         | 0.8056                           | 30    |
+| 0.0283     | 0.9842                    | 0.9863                      | 1.8398          | 0.7806                         | 0.7900                           | 31    |
 
 
 ### Framework versions

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