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whisper-base-finetuned-gtzan
jensg/whisper-base-finetuned-gtzan
whisper-base-finetuned-gtzan is a audio classification model from jensg. 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
- Jul 27, 2023
- Updated
- Jul 27, 2023
- SHA
- 289ce108
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-finetuned-gtzan
This model is a fine-tuned version of openai/whisper-base on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.9387
- Accuracy: 0.88
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: 16
- eval_batch_size: 16
- 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 |
|---|---|---|---|---|
| 1.589 | 1.0 | 57 | 1.4820 | 0.55 |
| 0.8965 | 2.0 | 114 | 0.8220 | 0.74 |
| 0.5723 | 3.0 | 171 | 0.5528 | 0.85 |
| 0.2395 | 4.0 | 228 | 0.6258 | 0.81 |
| 0.113 | 5.0 | 285 | 0.5659 | 0.82 |
| 0.2278 | 6.0 | 342 | 0.6686 | 0.83 |
| 0.0918 | 7.0 | 399 | 0.7184 | 0.86 |
| 0.0487 | 8.0 | 456 | 0.8123 | 0.87 |
| 0.0001 | 9.0 | 513 | 0.9589 | 0.86 |
| 0.0001 | 10.0 | 570 | 0.9387 | 0.88 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu117
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Jul 27, 2023
- Updated
- Jul 27, 2023