Ast Finetuned Audioset 10 10 0.4593 Finetuned Gtzan

--- library_name: transformers license: bsd-3-clause base_model: MIT/ast-finetuned-audioset-10-10-0.4593 tags: - generated_from_trainer datasets: - marsyas/gtzan metrics: - accuracy model-index: - name: ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan results: - task: name: Audio Classification type: audio-classification dataset: name: GTZAN type: marsyas/gtzan config: default split: train args: default metrics: - name: Accuracy type: accuracy value: 0.89 --- <!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. --> # ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the GTZAN dataset. It achieves the following results on the evaluation set: - Loss: 0.4689 - Accuracy: 0.89 ## 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: 8 - eval_batch_size: 8 - seed: 42 - optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments - lr_scheduler_type: linear - lr_scheduler_warmup_steps: 100 - num_epochs: 5 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Accuracy | |:-------------:|:-----:|:----:|:---------------:|:--------:| | 0.7288 | 1.0 | 113 | 0.6529 | 0.79 | | 0.3545 | 2.0 | 226 | 0.5164 | 0.84 | | 0.3274 | 3.0 | 339 | 0.4687 | 0.88 | | 0.0088 | 4.0 | 452 | 0.5165 | 0.89 | | 0.0011 | 5.0 | 565 | 0.4689 | 0.89 | ### Framework versions - Transformers 5.0.0 - Pytorch 2.9.0+cu128 - Datasets 4.0.0 - Tokenizers 0.22.2

Source context: 4 downloads · 0 likes · Pipeline audio-classification · Library transformers · Repo pranavgupta/ast-finetuned-audioset-10-10-0.4593-finetuned-gtzan