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: 0.1023
-- Train End Logits Accuracy: 0.9601
-- Train Start Logits Accuracy: 0.9622
-- Validation Loss: 1.4575
-- Validation End Logits Accuracy: 0.7931
-- Validation Start Logits Accuracy: 0.7931
-- Epoch: 15
+- Train Loss: 0.0956
+- Train End Logits Accuracy: 0.9590
+- Train Start Logits Accuracy: 0.9685
+- Validation Loss: 1.5160
+- Validation End Logits Accuracy: 0.7837
+- Validation Start Logits Accuracy: 0.7900
+- Epoch: 16
 
 ## Model description
 
@@ -63,6 +63,7 @@ The following hyperparameters were used during training:
 | 0.1301     | 0.9517                    | 0.9590                      | 1.1851          | 0.7774                         | 0.8150                           | 13    |
 | 0.1089     | 0.9548                    | 0.9590                      | 1.2442          | 0.7774                         | 0.8088                           | 14    |
 | 0.1023     | 0.9601                    | 0.9622                      | 1.4575          | 0.7931                         | 0.7931                           | 15    |
+| 0.0956     | 0.9590                    | 0.9685                      | 1.5160          | 0.7837                         | 0.7900                           | 16    |
 
 
 ### Framework versions

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