| --- |
| license: apache-2.0 |
| base_model: openai/whisper-medium.en |
| tags: |
| - generated_from_trainer |
| datasets: |
| - marsyas/gtzan |
| metrics: |
| - accuracy |
| model-index: |
| - name: whisper-medium.en-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: 0.95 |
| --- |
| |
| <!-- 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. --> |
|
|
| # whisper-medium.en-finetuned-gtzan |
|
|
| This model is a fine-tuned version of [openai/whisper-medium.en](https://huggingface.co/openai/whisper-medium.en) on the GTZAN dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.2885 |
| - Accuracy: 0.95 |
|
|
| ## 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: 1e-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: 16 |
| - mixed_precision_training: Native AMP |
|
|
| ### Training results |
|
|
| | Training Loss | Epoch | Step | Validation Loss | Accuracy | |
| |:-------------:|:-----:|:----:|:---------------:|:--------:| |
| | 1.7711 | 1.0 | 112 | 1.6556 | 0.52 | |
| | 0.5477 | 2.0 | 225 | 0.4738 | 0.85 | |
| | 0.535 | 3.0 | 337 | 0.3137 | 0.92 | |
| | 0.231 | 4.0 | 450 | 0.3613 | 0.9 | |
| | 0.1923 | 5.0 | 562 | 0.2885 | 0.95 | |
| | 0.0584 | 6.0 | 675 | 0.6531 | 0.86 | |
| | 0.1783 | 7.0 | 787 | 0.5717 | 0.9 | |
| | 0.0022 | 8.0 | 900 | 0.4205 | 0.91 | |
| | 0.1032 | 9.0 | 1012 | 0.4984 | 0.91 | |
| | 0.0011 | 10.0 | 1125 | 0.3778 | 0.94 | |
| | 0.0104 | 11.0 | 1237 | 0.3709 | 0.94 | |
| | 0.0011 | 12.0 | 1350 | 0.4564 | 0.92 | |
| | 0.0009 | 13.0 | 1462 | 0.3796 | 0.94 | |
| | 0.0008 | 14.0 | 1575 | 0.3880 | 0.94 | |
| | 0.0008 | 15.0 | 1687 | 0.3930 | 0.94 | |
| | 0.0008 | 15.93 | 1792 | 0.3955 | 0.94 | |
|
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|
|
| ### Framework versions |
|
|
| - Transformers 4.37.0.dev0 |
| - Pytorch 2.1.2+cu118 |
| - Datasets 2.15.0 |
| - Tokenizers 0.15.0 |
|
|
