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--- |
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license: bsd-3-clause |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: ast_10-finetuned-ICBHI |
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results: [] |
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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_10-finetuned-ICBHI |
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This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 1.2536 |
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- Accuracy: 0.6514 |
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- Sensitivity: 0.4559 |
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- Specificity: 0.8264 |
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- Score: 0.6411 |
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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-05 |
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- train_batch_size: 4 |
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- eval_batch_size: 4 |
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- seed: 42 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 16 |
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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_ratio: 0.1 |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Sensitivity | Specificity | Score | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:-----------:|:-----------:|:------:| |
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| 0.9062 | 1.0 | 258 | 1.0048 | 0.5906 | 0.5257 | 0.6486 | 0.5872 | |
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| 0.8257 | 2.0 | 517 | 0.8676 | 0.6435 | 0.3645 | 0.8929 | 0.6287 | |
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| 0.6324 | 3.0 | 776 | 0.9607 | 0.6409 | 0.4912 | 0.7749 | 0.6330 | |
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| 0.1494 | 4.0 | 1035 | 1.2536 | 0.6514 | 0.4559 | 0.8264 | 0.6411 | |
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| 0.0472 | 4.99 | 1290 | 1.5260 | 0.6486 | 0.5035 | 0.7783 | 0.6409 | |
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### Framework versions |
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- Transformers 4.29.1 |
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- Pytorch 2.0.0+cu118 |
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- Datasets 2.12.0 |
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- Tokenizers 0.13.3 |
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