Training in progress epoch 43

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: 0.0150
-- Train End Logits Accuracy: 0.9916
-- Train Start Logits Accuracy: 0.9937
-- Validation Loss: 1.7783
-- Validation End Logits Accuracy: 0.7868
-- Validation Start Logits Accuracy: 0.8025
-- Epoch: 42
+- 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
+- Validation Start Logits Accuracy: 0.7994
+- Epoch: 43
 
 ## Model description
 
@@ -90,6 +90,7 @@ The following hyperparameters were used during training:
 | 0.0137     | 0.9905                    | 0.9958                      | 1.7666          | 0.7900                         | 0.7931                           | 40    |
 | 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    |
 
 
 ### Framework versions

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