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: 0.6442
-- Accuracy: 0.795
-- F1: 0.7959
+- Loss: 0.6793
+- Accuracy: 0.7785
+- F1: 0.7798
 
 ## Model description
 
@@ -52,7 +52,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy | F1     |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|
-| 0.9317        | 1.0   | 1000 | 0.6442          | 0.795    | 0.7959 |
+| 0.9575        | 1.0   | 1000 | 0.6793          | 0.7785   | 0.7798 |
 
 
 ### Framework versions

runs/Dec20_20-17-28_41a4a5fa0a22/events.out.tfevents.1703104144.41a4a5fa0a22.1098.1

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8c125b223cae91fa55f8611e4c31abe02365e8a758013dff5e5486a4134fdde5
+size 457