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whisper-tiny.en-speech-commands-v1
gokulsrinivasagan/whisper-tiny.en-speech-commands-v1
whisper-tiny.en-speech-commands-v1 is a audio classification model from gokulsrinivasagan. 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
- Oct 4, 2025
- Updated
- Oct 4, 2025
- SHA
- 837326bd
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-tiny.en-speech-commands-v1
This model is a fine-tuned version of openai/whisper-tiny.en on the speech_commands dataset. It achieves the following results on the evaluation set:
- Loss: 1.2024
- Accuracy: 0.8049
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: 96
- eval_batch_size: 96
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 384
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.7273 | 1.0 | 103 | 1.3912 | 0.7923 |
| 0.1707 | 2.0 | 206 | 1.2339 | 0.8044 |
| 0.086 | 3.0 | 309 | 1.2284 | 0.8022 |
| 0.0698 | 4.0 | 412 | 1.2024 | 0.8049 |
| 0.0492 | 5.0 | 515 | 1.2266 | 0.8035 |
Framework versions
- Transformers 4.51.2
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.1
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- Oct 4, 2025
- Updated
- Oct 4, 2025