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whisper-base.en-finetuned-gtzan
Shamik/whisper-base.en-finetuned-gtzan
whisper-base.en-finetuned-gtzan is a audio classification model from Shamik. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- Nov 29, 2023
- Updated
- Nov 29, 2023
- SHA
- fad94fe3
Base models
Datasets
Model card
From the Hugging Face model README
<!-- 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-base.en-finetuned-gtzan
This model is a fine-tuned version of openai/whisper-base.en on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.3412
- 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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.5696 | 0.99 | 56 | 1.3573 | 0.62 |
| 0.9913 | 2.0 | 113 | 0.7820 | 0.77 |
| 0.4771 | 2.99 | 169 | 0.4873 | 0.84 |
| 0.4411 | 4.0 | 226 | 0.3367 | 0.91 |
| 0.1615 | 4.99 | 282 | 0.3412 | 0.92 |
| 0.1339 | 6.0 | 339 | 0.4125 | 0.91 |
| 0.0331 | 6.99 | 395 | 0.4773 | 0.89 |
| 0.0382 | 8.0 | 452 | 0.4282 | 0.88 |
| 0.049 | 8.99 | 508 | 0.4634 | 0.9 |
| 0.0312 | 9.91 | 560 | 0.4444 | 0.9 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu118
- Datasets 2.15.0
- Tokenizers 0.15.0
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Nov 29, 2023
- Updated
- Nov 29, 2023