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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: exp_1715025412 |
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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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# exp_1715025412 |
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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: 0.6403 |
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- Accuracy: 0.8974 |
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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: 12 |
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- eval_batch_size: 12 |
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- seed: 42 |
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- gradient_accumulation_steps: 5 |
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- total_train_batch_size: 60 |
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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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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
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|:-------------:|:------:|:----:|:---------------:|:--------:| |
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| 0.5131 | 0.9856 | 41 | 0.4401 | 0.8157 | |
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| 0.2645 | 1.9952 | 83 | 0.3510 | 0.875 | |
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| 0.2224 | 2.9808 | 124 | 0.3333 | 0.8910 | |
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| 0.1223 | 3.9904 | 166 | 0.4310 | 0.8830 | |
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| 0.0721 | 5.0 | 208 | 0.5080 | 0.8830 | |
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| 0.0059 | 5.9856 | 249 | 0.6021 | 0.8910 | |
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| 0.001 | 6.9952 | 291 | 0.6082 | 0.8878 | |
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| 0.0004 | 7.9808 | 332 | 0.6385 | 0.8942 | |
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| 0.0002 | 8.9904 | 374 | 0.6386 | 0.8958 | |
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| 0.0003 | 9.8558 | 410 | 0.6403 | 0.8974 | |
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### Framework versions |
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- Transformers 4.40.1 |
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- Pytorch 2.2.1+cu121 |
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- Datasets 2.19.1 |
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- Tokenizers 0.19.1 |
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