--- license: apache-2.0 tags: - generated_from_trainer datasets: - glue metrics: - matthews_correlation model-index: - name: distilbert-base-uncased-finetuned-FFT-CoLA results: - task: name: Text Classification type: text-classification dataset: name: glue type: glue args: cola metrics: - name: Matthews Correlation type: matthews_correlation value: 0.5049093009936784 --- # distilbert-base-uncased-finetuned-lora-cola This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert/distilbert-base-uncased) on the glue dataset. It achieves the following results on the evaluation set: - Matthews Correlation: 0.5049 - trainable model parameters: 1181954 - all model parameters: 68136964 - percentage of trainable model parameters: 1.73% ## 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: 5