--- license: apache-2.0 tags: - generated_from_trainer datasets: - marsyas/gtzan model-index: - name: distilhubert-finetuned-gtzan results: [] --- # distilhubert-finetuned-gtzan This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset. ## Model description More information needed ## Intended uses & limitations More information needed ## Training and evaluation data More information needed ## Training procedure ### Training hyperparameters The following hyperparameters were used during training: - learning_rate: 5e-05 - train_batch_size: 4 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - lr_scheduler_warmup_ratio: 0.1 - num_epochs: 30 ### Framework versions - Transformers 4.29.2 - Pytorch 2.0.0 - Datasets 2.13.1 - Tokenizers 0.13.3