Training in progress epoch 39

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: 0.0148
-- Train End Logits Accuracy: 0.9905
-- Train Start Logits Accuracy: 0.9947
-- Validation Loss: 1.8678
+- Train Loss: 0.0117
+- Train End Logits Accuracy: 0.9884
+- Train Start Logits Accuracy: 0.9968
+- Validation Loss: 1.7944
 - Validation End Logits Accuracy: 0.7868
-- Validation Start Logits Accuracy: 0.7931
-- Epoch: 38
+- Validation Start Logits Accuracy: 0.7900
+- Epoch: 39
 
 ## Model description
 
@@ -86,6 +86,7 @@ The following hyperparameters were used during training:
 | 0.0161     | 0.9937                    | 0.9916                      | 1.7071          | 0.7806                         | 0.8025                           | 36    |
 | 0.0146     | 0.9926                    | 0.9926                      | 1.7827          | 0.7868                         | 0.7962                           | 37    |
 | 0.0148     | 0.9905                    | 0.9947                      | 1.8678          | 0.7868                         | 0.7931                           | 38    |
+| 0.0117     | 0.9884                    | 0.9968                      | 1.7944          | 0.7868                         | 0.7900                           | 39    |
 
 
 ### Framework versions

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