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: 0.8194
-- Train End Logits Accuracy: 0.7349
-- Train Start Logits Accuracy: 0.7446
-- Validation Loss: 1.0339
-- Validation End Logits Accuracy: 0.7429
-- Validation Start Logits Accuracy: 0.7492
-- Epoch: 9
+- 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
 
 ## Model description
 
@@ -57,6 +57,7 @@ The following hyperparameters were used during training:
 | 0.9827     | 0.6843                    | 0.7069                      | 1.1469          | 0.7116                         | 0.7116                           | 7     |
 | 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    |
 
 
 ### Framework versions

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