End of training

README.md

@@ -18,9 +18,9 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli](https://huggingface.co/MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.7860
-- Accuracy: 0.69
-- F1: 0.6553
+- Loss: 0.7043
+- Accuracy: 0.762
+- F1: 0.7635
 
 ## Model description
 
@@ -50,6 +50,9 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
+| 0.9578        | 1.0   | 1000 | 0.7043          | 0.762    | 0.7635 |
 
 
 ### Framework versions

runs/Dec20_13-32-07_8a2d54eec0e3/events.out.tfevents.1703079775.8a2d54eec0e3.45335.1

@@ -0,0 +1,3 @@
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+size 457