Training in progress epoch 45

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: 0.0102
-- Train End Logits Accuracy: 0.9937
-- Train Start Logits Accuracy: 0.9947
-- Validation Loss: 1.7432
+- Train Loss: 0.0138
+- Train End Logits Accuracy: 0.9947
+- Train Start Logits Accuracy: 1.0
+- Validation Loss: 1.7511
 - Validation End Logits Accuracy: 0.7931
 - Validation Start Logits Accuracy: 0.7994
-- Epoch: 44
+- Epoch: 45
 
 ## Model description
 
@@ -92,6 +92,7 @@ The following hyperparameters were used during training:
 | 0.0150     | 0.9916                    | 0.9937                      | 1.7783          | 0.7868                         | 0.8025                           | 42    |
 | 0.0128     | 0.9895                    | 0.9958                      | 1.7480          | 0.7900                         | 0.7994                           | 43    |
 | 0.0102     | 0.9937                    | 0.9947                      | 1.7432          | 0.7931                         | 0.7994                           | 44    |
+| 0.0138     | 0.9947                    | 1.0                         | 1.7511          | 0.7931                         | 0.7994                           | 45    |
 
 
 ### Framework versions

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