Training in progress epoch 16

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: 0.2860
-- Train End Logits Accuracy: 0.8792
-- Train Start Logits Accuracy: 0.9160
-- Validation Loss: 1.1335
-- Validation End Logits Accuracy: 0.7649
-- Validation Start Logits Accuracy: 0.8025
-- Epoch: 15
+- Train Loss: 0.2751
+- Train End Logits Accuracy: 0.8834
+- Train Start Logits Accuracy: 0.9181
+- Validation Loss: 1.1135
+- Validation End Logits Accuracy: 0.7712
+- Validation Start Logits Accuracy: 0.8119
+- Epoch: 16
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 0.3325     | 0.8550                    | 0.9097                      | 1.1519          | 0.7429                         | 0.7900                           | 13    |
 | 0.3115     | 0.8739                    | 0.9076                      | 1.1423          | 0.7586                         | 0.7868                           | 14    |
 | 0.2860     | 0.8792                    | 0.9160                      | 1.1335          | 0.7649                         | 0.8025                           | 15    |
+| 0.2751     | 0.8834                    | 0.9181                      | 1.1135          | 0.7712                         | 0.8119                           | 16    |
 
 
 ### Framework versions

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