Training in progress epoch 11

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: 0.7245
-- Train End Logits Accuracy: 0.7403
-- Train Start Logits Accuracy: 0.7877
-- Validation Loss: 1.0371
-- Validation End Logits Accuracy: 0.7304
-- Validation Start Logits Accuracy: 0.7398
-- Epoch: 10
+- Train Loss: 0.6827
+- Train End Logits Accuracy: 0.7683
+- Train Start Logits Accuracy: 0.7856
+- Validation Loss: 1.0185
+- Validation End Logits Accuracy: 0.7492
+- Validation Start Logits Accuracy: 0.7461
+- Epoch: 11
 
 ## Model description
 
@@ -58,6 +58,7 @@ The following hyperparameters were used during training:
 | 0.8810     | 0.7306                    | 0.7371                      | 1.0859          | 0.7116                         | 0.7053                           | 8     |
 | 0.8194     | 0.7349                    | 0.7446                      | 1.0339          | 0.7429                         | 0.7492                           | 9     |
 | 0.7245     | 0.7403                    | 0.7877                      | 1.0371          | 0.7304                         | 0.7398                           | 10    |
+| 0.6827     | 0.7683                    | 0.7856                      | 1.0185          | 0.7492                         | 0.7461                           | 11    |
 
 
 ### Framework versions

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