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--- |
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base_model: wetdog/TUT-urban-acoustic-scenes-2018-development-16bit |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- acoustic-scenes |
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metrics: |
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- accuracy |
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model-index: |
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- name: ast-finetuned-audioset-10-10-0.4593-TUT-acoustic-scenes |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: TUT-urban-acoustic-scenes-2018-development-16bit |
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type: acoustic-scenes |
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args: 'split: train' |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.715647339158062 |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# ast-finetuned-audioset-10-10-0.4593-TUT-acoustic-scenes |
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This model is a fine-tuned version of [wetdog/TUT-urban-acoustic-scenes-2018-development-16bit](https://huggingface.co/wetdog/TUT-urban-acoustic-scenes-2018-development-16bit) on the TUT-urban-acoustic-scenes-2018-development-16bit dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.8055 |
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- Accuracy: 0.7156 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 3e-06 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- lr_scheduler_warmup_steps: 50 |
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- training_steps: 1000 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:| |
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| 0.4664 | 1.12 | 500 | 1.3147 | 0.6136 | |
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| 0.6605 | 2.23 | 1000 | 0.8055 | 0.7156 | |
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### Framework versions |
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- Transformers 4.33.2 |
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- Pytorch 2.0.1+cu118 |
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- Datasets 2.14.5 |
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- Tokenizers 0.13.3 |
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