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distilroberta-base-finetuned-lora-wnli

This model is a fine-tuned version of distilroberta-base on the glue dataset. It achieves the following results on the evaluation set:

  • Accuracy: 0.5634
  • trainable model parameters: 1181954
  • all model parameters: 83301892
  • percentage of trainable model parameters: 1.42%

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 5e-04
  • train_batch_size: 32
  • eval_batch_size: 32
  • seed: 42
  • weight_decay: 0.01
  • rank: 32
  • lora_alpha: 16
  • lora_dropout: 0.05
  • num_epochs: 4
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Dataset used to train rambodazimi/distilroberta-base-finetuned-LoRA-WNLI

Evaluation results