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distilhubert-finetuned-en-alphabets
mahmoudmamdouh13/distilhubert-finetuned-en-alphabets
distilhubert-finetuned-en-alphabets is a audio classification model from mahmoudmamdouh13. 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
- hubert
- Access
- Public
- Created
- Jun 20, 2025
- Updated
- Jun 20, 2025
- SHA
- 712d96f3
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. -->
distilhubert-finetuned-en-alphabets
This model is a fine-tuned version of ntu-spml/distilhubert on the audiofolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.4601
- Precision: 0.9569
- Recall: 0.9481
- F1: 0.9470
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: 64
- eval_batch_size: 64
- seed: 42
- 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: 8
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 |
|---|---|---|---|---|---|---|
| 2.7834 | 1.0 | 112 | 2.5326 | 0.4167 | 0.3726 | 0.3135 |
| 1.9668 | 2.0 | 224 | 1.6729 | 0.7006 | 0.7311 | 0.6796 |
| 1.4503 | 3.0 | 336 | 1.1778 | 0.8548 | 0.8302 | 0.8096 |
| 1.0224 | 4.0 | 448 | 0.8461 | 0.9041 | 0.8915 | 0.8869 |
| 0.8504 | 5.0 | 560 | 0.6392 | 0.9266 | 0.9198 | 0.9182 |
| 0.6555 | 6.0 | 672 | 0.5410 | 0.9536 | 0.9481 | 0.9466 |
| 0.5653 | 7.0 | 784 | 0.4801 | 0.9546 | 0.9481 | 0.9460 |
| 0.5328 | 8.0 | 896 | 0.4601 | 0.9569 | 0.9481 | 0.9470 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.2.1+cu121
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jun 20, 2025
- Updated
- Jun 20, 2025