| --- |
| 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: all |
| split: train |
| args: all |
| metrics: |
| - name: Accuracy |
| type: accuracy |
| value: 0.92 |
| --- |
| |
| <!-- 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: 0.3966 |
| - Accuracy: 0.92 |
|
|
| ## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_ratio: 0.1 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.0687 | 1.0 | 113 | 0.6197 | 0.84 | |
| | 0.299 | 2.0 | 226 | 0.5065 | 0.86 | |
| | 0.2634 | 3.0 | 339 | 0.5042 | 0.88 | |
| | 0.0473 | 4.0 | 452 | 0.5413 | 0.88 | |
| | 0.0033 | 5.0 | 565 | 0.3706 | 0.91 | |
| | 0.0003 | 6.0 | 678 | 0.4485 | 0.9 | |
| | 0.2538 | 7.0 | 791 | 0.4006 | 0.9 | |
| | 0.0002 | 8.0 | 904 | 0.3985 | 0.9 | |
| | 0.003 | 9.0 | 1017 | 0.3952 | 0.91 | |
| | 0.0001 | 10.0 | 1130 | 0.3966 | 0.92 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.31.0.dev0 |
| - Pytorch 1.12.1+cu116 |
| - Datasets 2.4.0 |
| - Tokenizers 0.12.1 |
| |
