deberta-v3-base-finetuned-fft-stsb
This model is a fine-tuned version of deberta-v3-base on the glue dataset. It achieves the following results on the evaluation set:
- Pearsonr: 0.9083
- Spearmanr: 0.9064
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 32
- eval_batch_size: 32
- seed: 42
- weight_decay: 0.01
- num_epochs: 3
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Dataset used to train rambodazimi/deberta-v3-base-finetuned-FFT-STSB
Evaluation results
- Pearsonr on glueself-reported0.908
- Spearmanr on glueself-reported0.906