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beewatch_ast_3class
troyskie/beewatch_ast_3class
beewatch_ast_3class is a audio classification model from troyskie. 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
- Sep 22, 2026
- Updated
- Sep 25, 2026
- SHA
- 218b24d1
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. -->
beewatch_ast_3class
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: 0.7238
- Accuracy: 0.7473
- Macro Precision: 0.7277
- Macro Recall: 0.7249
- Macro F1: 0.7245
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- 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
- lr_scheduler_warmup_steps: 10
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro Precision | Macro Recall | Macro F1 |
|---|---|---|---|---|---|---|---|
| 0.2769 | 1.0 | 52 | 0.4908 | 0.7903 | 0.7726 | 0.7736 | 0.7707 |
| 0.0770 | 2.0 | 104 | 0.5907 | 0.7527 | 0.7340 | 0.7275 | 0.7177 |
| 0.0212 | 3.0 | 156 | 0.6870 | 0.7419 | 0.7260 | 0.7207 | 0.7223 |
| 0.0075 | 4.0 | 208 | 0.7265 | 0.7473 | 0.7277 | 0.7249 | 0.7245 |
Framework versions
- Transformers 5.16.1
- Pytorch 2.11.0+cu128
- Datasets 4.8.5
- Tokenizers 0.23.1
- Task
- Audio Classification
- Library
- transformers
- Type
- audio-spectrogram-transformer
- License
- bsd-3-clause
- Created
- Sep 22, 2026
- Updated
- Sep 25, 2026