| --- | |
| license: apache-2.0 | |
| base_model: ntu-spml/distilhubert | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - marsyas/gtzan | |
| metrics: | |
| - accuracy | |
| model-index: | |
| - name: distilhubert-finetuned-gtzan | |
| results: | |
| - task: | |
| name: Audio Classification | |
| type: audio-classification | |
| dataset: | |
| name: GTZAN | |
| type: marsyas/gtzan | |
| config: all | |
| split: train | |
| args: all | |
| metrics: | |
| - name: Accuracy | |
| type: accuracy | |
| value: 0.89 | |
| # distilhubert-finetuned-gtzan | |
| ## 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: 10 | |
| ### Framework versions | |
| - Transformers 4.37.0.dev0 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.15.0 | |
| - Tokenizers 0.15.0 |