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drone-audio-detection-05-17-trial-6
preszzz/drone-audio-detection-05-17-trial-6
drone-audio-detection-05-17-trial-6 is a audio classification model from preszzz. 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 bsd-3-clause.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- bsd-3-clause
- Model type
- audio-spectrogram-transformer
- Access
- Public
- Created
- May 17, 2025
- Updated
- May 17, 2025
- SHA
- d77f0d70
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. -->
drone-audio-detection-05-17-trial-6
This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0174
- Accuracy: 0.995
- Precision: 0.9981
- Recall: 0.9955
- F1: 0.9968
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: 1.257746306413444e-05
- train_batch_size: 16
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- 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: polynomial
- lr_scheduler_warmup_ratio: 0.034505843844643884
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 |
|---|---|---|---|---|---|---|---|
| 0.0214 | 1.0 | 125 | 0.0237 | 0.9905 | 1.0 | 0.9878 | 0.9939 |
| 0.01 | 2.0 | 250 | 0.0195 | 0.995 | 0.9981 | 0.9955 | 0.9968 |
| 0.0022 | 3.0 | 375 | 0.0145 | 0.995 | 0.9974 | 0.9962 | 0.9968 |
| 0.0001 | 4.0 | 500 | 0.0169 | 0.9945 | 0.9974 | 0.9955 | 0.9965 |
| 0.0001 | 5.0 | 625 | 0.0174 | 0.995 | 0.9981 | 0.9955 | 0.9968 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.6.0
- Tokenizers 0.21.1
- Task
- Audio Classification
- Library
- transformers
- Type
- audio-spectrogram-transformer
- License
- bsd-3-clause
- Created
- May 17, 2025
- Updated
- May 17, 2025