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--- |
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library_name: transformers |
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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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- precision |
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- recall |
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- f1 |
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model-index: |
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- name: ast_classifier |
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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_classifier |
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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: 1.5481 |
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- Accuracy: 0.7269 |
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- Precision: 0.6416 |
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- Recall: 0.9728 |
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- F1: 0.7732 |
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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: 32 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
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- lr_scheduler_type: linear |
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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall | F1 | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|:------:| |
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| 0.4304 | 1.0 | 172 | 0.3436 | 0.8563 | 0.8231 | 0.8913 | 0.8558 | |
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| 0.2198 | 2.0 | 344 | 1.0337 | 0.6684 | 0.5922 | 0.9864 | 0.7401 | |
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| 0.1219 | 3.0 | 516 | 0.5469 | 0.8069 | 0.7180 | 0.9823 | 0.8296 | |
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| 0.0818 | 4.0 | 688 | 1.2336 | 0.7295 | 0.6455 | 0.9647 | 0.7734 | |
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| 0.0317 | 5.0 | 860 | 1.5481 | 0.7269 | 0.6416 | 0.9728 | 0.7732 | |
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### Framework versions |
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- Transformers 4.57.2 |
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- Pytorch 2.9.0+cu126 |
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- Datasets 3.6.0 |
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- Tokenizers 0.22.1 |
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