End of training

README.md

@@ -14,13 +14,13 @@ probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.4348
-- Train End Logits Accuracy: 0.6368
-- Train Start Logits Accuracy: 0.5974
-- Validation Loss: 1.0155
-- Validation End Logits Accuracy: 0.7193
-- Validation Start Logits Accuracy: 0.6825
-- Epoch: 0
+- Train Loss: 0.8072
+- Train End Logits Accuracy: 0.7735
+- Train Start Logits Accuracy: 0.7320
+- Validation Loss: 0.9990
+- Validation End Logits Accuracy: 0.7302
+- Validation Start Logits Accuracy: 0.6983
+- Epoch: 1
 
 ## Model description
 
@@ -47,6 +47,7 @@ The following hyperparameters were used during training:
 | Train Loss | Train End Logits Accuracy | Train Start Logits Accuracy | Validation Loss | Validation End Logits Accuracy | Validation Start Logits Accuracy | Epoch |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.4348     | 0.6368                    | 0.5974                      | 1.0155          | 0.7193                         | 0.6825                           | 0     |
+| 0.8072     | 0.7735                    | 0.7320                      | 0.9990          | 0.7302                         | 0.6983                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1669904997.b2070cb306e9.113.0.v2

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