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--- |
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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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model-index: |
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- name: trillsson3-ft-keyword-spotting-15 |
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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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# trillsson3-ft-keyword-spotting-15 |
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This model is a fine-tuned version of [vumichien/nonsemantic-speech-trillsson3](https://huggingface.co/vumichien/nonsemantic-speech-trillsson3) on the superb dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.3563 |
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- Accuracy: 0.9041 |
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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: 0.0003 |
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- train_batch_size: 32 |
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- eval_batch_size: 64 |
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- seed: 0 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 64 |
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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: 10.0 |
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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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| 1.1824 | 1.0 | 798 | 0.6478 | 0.7489 | |
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| 0.7448 | 2.0 | 1596 | 0.4274 | 0.8728 | |
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| 0.7089 | 3.0 | 2394 | 0.3723 | 0.8950 | |
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| 0.6781 | 4.0 | 3192 | 0.3563 | 0.9041 | |
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| 0.6386 | 5.0 | 3990 | 0.3441 | 0.8986 | |
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| 0.6342 | 6.0 | 4788 | 0.3380 | 0.8994 | |
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| 0.6275 | 7.0 | 5586 | 0.3376 | 0.8982 | |
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| 0.6349 | 8.0 | 6384 | 0.3333 | 0.9014 | |
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| 0.6261 | 9.0 | 7182 | 0.3295 | 0.9025 | |
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| 0.6188 | 10.0 | 7980 | 0.3322 | 0.9025 | |
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### Framework versions |
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- Transformers 4.23.0.dev0 |
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- Pytorch 1.12.1+cu113 |
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- Datasets 2.7.1 |
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- Tokenizers 0.13.2 |
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