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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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model-index: |
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- name: rio-model |
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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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# rio-model |
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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 an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.1567 |
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- Accuracy: 0.96 |
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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: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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- optimizer: Use OptimizerNames.ADAMW_TORCH 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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- lr_scheduler_warmup_ratio: 0.1 |
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- num_epochs: 10 |
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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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| 0.597 | 1.0 | 28 | 0.1618 | 0.92 | |
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| 0.1129 | 2.0 | 56 | 0.7487 | 0.8 | |
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| 0.0545 | 3.0 | 84 | 0.0181 | 1.0 | |
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| 0.001 | 4.0 | 112 | 0.7661 | 0.84 | |
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| 0.0003 | 5.0 | 140 | 0.1578 | 0.96 | |
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| 0.0001 | 6.0 | 168 | 0.1282 | 0.96 | |
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| 0.0001 | 7.0 | 196 | 0.1429 | 0.96 | |
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| 0.0 | 8.0 | 224 | 0.1519 | 0.96 | |
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| 0.0 | 9.0 | 252 | 0.1562 | 0.96 | |
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| 0.0 | 10.0 | 280 | 0.1567 | 0.96 | |
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### Framework versions |
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- Transformers 4.51.3 |
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- Pytorch 2.6.0+cu124 |
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- Datasets 3.6.0 |
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- Tokenizers 0.21.1 |
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