| license: bsd-3-clause | |
| tags: | |
| - generated_from_trainer | |
| model-index: | |
| - name: ast-finetuned-audioset-10-10-0.4593-finetuning-ESC-50 | |
| results: [] | |
| <!-- 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-finetuning-ESC-50 | |
| 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 None dataset. | |
| It achieves the following results on the evaluation set: | |
| - eval_loss: 0.3787 | |
| - eval_accuracy: 0.8929 | |
| - eval_runtime: 6.2912 | |
| - eval_samples_per_second: 8.901 | |
| - eval_steps_per_second: 4.451 | |
| - epoch: 1.0 | |
| - step: 28 | |
| ## 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: 3e-05 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 2 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 4 | |
| - total_train_batch_size: 8 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_ratio: 0.1 | |
| - num_epochs: 5 | |
| ### Framework versions | |
| - Transformers 4.26.0.dev0 | |
| - Pytorch 1.13.0+cu117 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |