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whisper-tiny-speech_commands
jialicheng/whisper-tiny-speech_commands
whisper-tiny-speech_commands is a audio classification model from jialicheng. 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
- May 19, 2024
- Updated
- May 19, 2024
- SHA
- f57d706c
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. -->
superb_ks_42
This model is a fine-tuned version of openai/whisper-tiny on the superb dataset. It achieves the following results on the evaluation set:
- Loss: 0.1434
- Accuracy: 0.9801
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: 32
- eval_batch_size: 4
- 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 |
|---|---|---|---|---|
| 0.8486 | 1.0 | 1597 | 0.2380 | 0.9385 |
| 0.0986 | 2.0 | 3194 | 0.1777 | 0.9598 |
| 0.0773 | 3.0 | 4791 | 0.1249 | 0.9738 |
| 0.0532 | 4.0 | 6388 | 0.1078 | 0.9782 |
| 0.0472 | 5.0 | 7985 | 0.1258 | 0.9766 |
| 0.0322 | 6.0 | 9582 | 0.1365 | 0.9772 |
| 0.0258 | 7.0 | 11179 | 0.1338 | 0.9798 |
| 0.0231 | 8.0 | 12776 | 0.1447 | 0.9796 |
| 0.0171 | 9.0 | 14373 | 0.1435 | 0.9797 |
| 0.0142 | 10.0 | 15970 | 0.1434 | 0.9801 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- May 19, 2024
- Updated
- May 19, 2024