Training in progress epoch 44

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: 0.0128
-- Train End Logits Accuracy: 0.9895
-- Train Start Logits Accuracy: 0.9958
-- Validation Loss: 1.7480
-- Validation End Logits Accuracy: 0.7900
+- Train Loss: 0.0102
+- Train End Logits Accuracy: 0.9937
+- Train Start Logits Accuracy: 0.9947
+- Validation Loss: 1.7432
+- Validation End Logits Accuracy: 0.7931
 - Validation Start Logits Accuracy: 0.7994
-- Epoch: 43
+- Epoch: 44
 
 ## Model description
 
@@ -91,6 +91,7 @@ The following hyperparameters were used during training:
 | 0.0160     | 0.9874                    | 0.9958                      | 1.7644          | 0.7868                         | 0.7962                           | 41    |
 | 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    |
 
 
 ### Framework versions

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