deberta-v3-base-finetuned-mrpc
This model is a fine-tuned version of deberta-v3-base on the glue dataset. It achieves the following results on the evaluation set:
- Accuracy: 0.8873
- F1: 0.9190
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- weight_decay: 0.01
- num_epochs: 5
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Dataset used to train rambodazimi/deberta-v3-base-finetuned-FFT-MRPC
Evaluation results
- Accuracy on glueself-reported0.887
- F1 on glueself-reported0.919