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 [microsoft/deberta-v3-base](https://huggingface.co/microsoft/deberta-v3-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Train Loss: 1.0540
-- Train End Logits Accuracy: 0.7261
-- Train Start Logits Accuracy: 0.6885
-- Validation Loss: 0.7617
-- Validation End Logits Accuracy: 0.7841
-- Validation Start Logits Accuracy: 0.7530
-- Epoch: 0
+- Train Loss: 0.6248
+- Train End Logits Accuracy: 0.8212
+- Train Start Logits Accuracy: 0.7777
+- Validation Loss: 0.7594
+- Validation End Logits Accuracy: 0.7873
+- Validation Start Logits Accuracy: 0.7569
+- 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 |
 |:----------:|:-------------------------:|:---------------------------:|:---------------:|:------------------------------:|:--------------------------------:|:-----:|
 | 1.0540     | 0.7261                    | 0.6885                      | 0.7617          | 0.7841                         | 0.7530                           | 0     |
+| 0.6248     | 0.8212                    | 0.7777                      | 0.7594          | 0.7873                         | 0.7569                           | 1     |
 
 
 ### Framework versions

logs/train/events.out.tfevents.1669860517.8aceb1cfc709.114.0.v2

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tf_model.h5

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