ast-finetuned-audioset-10-10-0.4593-TUT-acoustic-scenes
This model is a fine-tuned version of wetdog/TUT-urban-acoustic-scenes-2018-development-16bit on the TUT-urban-acoustic-scenes-2018-development-16bit dataset. It achieves the following results on the evaluation set:
- Loss: 0.8055
- Accuracy: 0.7156
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-06
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 50
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4664 | 1.12 | 500 | 1.3147 | 0.6136 |
| 0.6605 | 2.23 | 1000 | 0.8055 | 0.7156 |
Framework versions
- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
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Evaluation results
- Accuracy on TUT-urban-acoustic-scenes-2018-development-16bitself-reported0.716