Training in progress epoch 10

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: 0.4674
-- Train End Logits Accuracy: 0.8214
-- Train Start Logits Accuracy: 0.8540
-- Validation Loss: 1.1150
-- Validation End Logits Accuracy: 0.7367
+- Train Loss: 0.4173
+- Train End Logits Accuracy: 0.8256
+- Train Start Logits Accuracy: 0.8782
+- Validation Loss: 1.1434
+- Validation End Logits Accuracy: 0.7335
 - Validation Start Logits Accuracy: 0.7774
-- Epoch: 9
+- Epoch: 10
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.5989     | 0.7721                    | 0.8403                      | 1.0787          | 0.7304                         | 0.7649                           | 7     |
 | 0.4988     | 0.8057                    | 0.8582                      | 1.1091          | 0.7398                         | 0.7618                           | 8     |
 | 0.4674     | 0.8214                    | 0.8540                      | 1.1150          | 0.7367                         | 0.7774                           | 9     |
+| 0.4173     | 0.8256                    | 0.8782                      | 1.1434          | 0.7335                         | 0.7774                           | 10    |
 
 
 ### Framework versions

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