bert-base-uncased-finetuned-lora-sst2

This model is a fine-tuned version of bert-base-uncased on the glue dataset. It achieves the following results on the evaluation set: - Accuracy: 0.9243 - trainable model parameters: 591362 - all model parameters: 110075140 - percentage of trainable model parameters: 0.54%

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: 16
• lora_alpha: 32
• lora_dropout: 0.05
• num_epochs: 3