Training in progress epoch 33

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: 0.0182
-- Train End Logits Accuracy: 0.9905
-- Train Start Logits Accuracy: 0.9926
-- Validation Loss: 1.8756
+- Train Loss: 0.0252
+- Train End Logits Accuracy: 0.9832
+- Train Start Logits Accuracy: 0.9947
+- Validation Loss: 1.8182
 - Validation End Logits Accuracy: 0.7837
-- Validation Start Logits Accuracy: 0.7994
-- Epoch: 32
+- Validation Start Logits Accuracy: 0.7962
+- Epoch: 33
 
 ## Model description
 
@@ -80,6 +80,7 @@ The following hyperparameters were used during training:
 | 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    |
 | 0.0182     | 0.9905                    | 0.9926                      | 1.8756          | 0.7837                         | 0.7994                           | 32    |
+| 0.0252     | 0.9832                    | 0.9947                      | 1.8182          | 0.7837                         | 0.7962                           | 33    |
 
 
 ### Framework versions

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