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--- |
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license: apache-2.0 |
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tags: |
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- audio-classification |
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- generated_from_trainer |
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datasets: |
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- superb |
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metrics: |
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- accuracy |
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base_model: asapp/sew-mid-100k |
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model-index: |
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- name: sew-mid-100k-ft-keyword-spotting |
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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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# sew-mid-100k-ft-keyword-spotting |
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This model is a fine-tuned version of [asapp/sew-mid-100k](https://huggingface.co/asapp/sew-mid-100k) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0975 |
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- Accuracy: 0.9757 |
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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: 32 |
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- eval_batch_size: 32 |
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- seed: 0 |
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- gradient_accumulation_steps: 4 |
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- total_train_batch_size: 128 |
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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: 5.0 |
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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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| 0.5999 | 1.0 | 399 | 0.2262 | 0.9635 | |
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| 0.4271 | 2.0 | 798 | 0.1230 | 0.9697 | |
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| 0.3778 | 3.0 | 1197 | 0.1052 | 0.9731 | |
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| 0.3227 | 4.0 | 1596 | 0.0975 | 0.9757 | |
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| 0.3081 | 5.0 | 1995 | 0.0962 | 0.9753 | |
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### Framework versions |
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- Transformers 4.12.0.dev0 |
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- Pytorch 1.9.1+cu111 |
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- Datasets 1.14.0 |
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- Tokenizers 0.10.3 |
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