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voice-detect-model
Sid231/voice-detect-model
voice-detect-model is a machine learning model from Sid231. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Feb 1, 2026
- Updated
- Feb 3, 2026
- SHA
- beb8ad95
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. -->
voice-detect-model
This model is a fine-tuned version of facebook/wav2vec2-large-xlsr-53 on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0195
- Accuracy: 0.9975
- F1: 0.9976
- Precision: 0.9953
- Recall: 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: 3e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.4295 | 1.0 | 100 | 0.2782 | 0.9975 | 0.9976 | 0.9953 | 1.0 |
| 0.0284 | 2.0 | 200 | 0.0301 | 0.995 | 0.9953 | 0.9906 | 1.0 |
| 0.0164 | 3.0 | 300 | 0.0195 | 0.9975 | 0.9976 | 0.9953 | 1.0 |
Framework versions
- Transformers 4.40.0
- Pytorch 2.5.1+cu121
- Datasets 4.5.0
- Tokenizers 0.19.1
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 1, 2026
- Updated
- Feb 3, 2026