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--- |
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license: bsd-3-clause |
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base_model: MIT/ast-finetuned-audioset-10-10-0.4593 |
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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-finetuned-audioset-10-10-0.4593-finetuned-gunshot |
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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-finetuned-audioset-10-10-0.4593-finetuned-gunshot |
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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: 0.8795 |
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- Accuracy: 0.7529 |
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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: 5e-05 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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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_ratio: 0.1 |
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- num_epochs: 10 |
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- mixed_precision_training: Native AMP |
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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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| 1.0609 | 1.0 | 341 | 1.3465 | 0.6588 | |
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| 2.5693 | 2.0 | 682 | 1.3427 | 0.6882 | |
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| 0.3521 | 3.0 | 1023 | 0.7226 | 0.7647 | |
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| 0.4897 | 4.0 | 1364 | 0.3091 | 0.8471 | |
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| 0.2211 | 5.0 | 1705 | 0.5495 | 0.8235 | |
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| 0.1775 | 6.0 | 2046 | 0.3732 | 0.8235 | |
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| 0.1227 | 7.0 | 2387 | 0.3936 | 0.7882 | |
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| 0.0661 | 8.0 | 2728 | 0.8744 | 0.7412 | |
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| 0.1584 | 9.0 | 3069 | 0.7891 | 0.7647 | |
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| 0.0707 | 10.0 | 3410 | 0.8795 | 0.7529 | |
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### Framework versions |
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- Transformers 4.36.0.dev0 |
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- Pytorch 2.0.0 |
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- Datasets 2.15.1.dev0 |
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- Tokenizers 0.15.0 |
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