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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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- wer |
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model-index: |
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- name: ast-finetuned-audioset-10-10-0.4593-keyword_spotting2 |
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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-keyword_spotting2 |
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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: 1.0123 |
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- Accuracy: 0.8228 |
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- Wer: 0.1772 |
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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: 8 |
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- eval_batch_size: 8 |
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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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- num_epochs: 5 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Wer | |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:| |
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| 0.0008 | 1.0 | 28 | 1.3229 | 0.8228 | 0.1772 | |
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| 0.3356 | 2.0 | 56 | 1.3607 | 0.8228 | 0.1772 | |
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| 0.0035 | 3.0 | 84 | 1.0123 | 0.8228 | 0.1772 | |
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| 0.0051 | 4.0 | 112 | 1.5980 | 0.8228 | 0.1772 | |
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| 0.0001 | 5.0 | 140 | 1.4630 | 0.8228 | 0.1772 | |
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### Framework versions |
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- Transformers 4.35.0 |
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- Pytorch 2.1.0+cu121 |
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- Datasets 2.14.7.dev0 |
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- Tokenizers 0.14.1 |
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