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voiceshield-room-calibrated
Harmansingh24k/voiceshield-room-calibrated
voiceshield-room-calibrated is a audio classification model from Harmansingh24k. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- mit
- Model type
- wav2vec2
- Access
- Public
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026
- SHA
- a958c18c
Base models
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. -->
voiceshield-room-calibrated
This model is a fine-tuned version of Harmansingh24k/voiceshield-replay-robust on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0250
- Accuracy: 1.0
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: 1.5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 32
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.3777 | 1.0 | 11 | 0.1905 | 0.9524 |
| 0.1500 | 2.0 | 22 | 0.0373 | 0.9841 |
| 0.0845 | 3.0 | 33 | 0.0250 | 1.0 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 5.0.1
- Tokenizers 0.23.1
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- mit
- Created
- Sep 3, 2026
- Updated
- Sep 3, 2026