End of training

README.md

@@ -5,6 +5,8 @@ tags:
 - generated_from_trainer
 datasets:
 - glue
+metrics:
+- accuracy
 model-index:
 - name: deberta-v2-xxlarge-finetuned-sst2
   results: []
@@ -17,13 +19,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [microsoft/deberta-v2-xxlarge](https://huggingface.co/microsoft/deberta-v2-xxlarge) on the glue dataset.
 It achieves the following results on the evaluation set:
-- eval_loss: 0.7132
-- eval_accuracy: 0.4908
-- eval_runtime: 81.5624
-- eval_samples_per_second: 10.691
-- eval_steps_per_second: 2.673
-- epoch: 0.58
-- step: 9737
+- Loss: 0.6968
+- Accuracy: 0.5092
 
 ## Model description
 
@@ -51,6 +48,13 @@ The following hyperparameters were used during training:
 - lr_scheduler_warmup_ratio: 0.06
 - num_epochs: 1
 
+### Training results
+
+| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
+|:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.679         | 1.0   | 16838 | 0.6968          | 0.5092   |
+
+
 ### Framework versions
 
 - Transformers 4.34.0