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wav2ast-gender-classification
7wolf/wav2ast-gender-classification
wav2ast-gender-classification is a audio classification model from 7wolf. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- audio-spectrogram-transformer
- Access
- Public
- Created
- Mar 2, 2024
- Updated
- Mar 5, 2024
- SHA
- 759f2d3c
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. -->
wav2ast-gender-classification
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.1145
- Accuracy: 0.9641
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.229 | 1.0 | 174 | 0.1875 | 0.9394 |
| 0.1965 | 2.0 | 348 | 0.1767 | 0.9390 |
| 0.1516 | 3.0 | 522 | 0.1393 | 0.9570 |
| 0.1126 | 4.0 | 697 | 0.1235 | 0.9609 |
| 0.1161 | 4.99 | 870 | 0.1145 | 0.9641 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.2.0
- Datasets 2.17.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- audio-spectrogram-transformer
- Created
- Mar 2, 2024
- Updated
- Mar 5, 2024