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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-13 |
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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-13 |
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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: 0.3093 |
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- Accuracy: 0.9153 |
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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: 16 |
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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: 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: 20.0 |
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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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| 1.7756 | 1.0 | 798 | 0.9283 | 0.6396 | |
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| 0.8631 | 2.0 | 1596 | 0.4884 | 0.8573 | |
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| 0.7551 | 3.0 | 2394 | 0.3967 | 0.8832 | |
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| 0.6968 | 4.0 | 3192 | 0.3644 | 0.8989 | |
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| 0.67 | 5.0 | 3990 | 0.3428 | 0.9057 | |
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| 0.6854 | 6.0 | 4788 | 0.3408 | 0.9026 | |
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| 0.6701 | 7.0 | 5586 | 0.3359 | 0.9013 | |
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| 0.6734 | 8.0 | 6384 | 0.3285 | 0.9059 | |
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| 0.6581 | 9.0 | 7182 | 0.3199 | 0.9095 | |
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| 0.6557 | 10.0 | 7980 | 0.3301 | 0.8986 | |
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| 0.6768 | 11.0 | 8778 | 0.3174 | 0.9047 | |
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| 0.6459 | 12.0 | 9576 | 0.3192 | 0.9031 | |
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| 0.6607 | 13.0 | 10374 | 0.3173 | 0.9066 | |
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| 0.656 | 14.0 | 11172 | 0.3142 | 0.9094 | |
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| 0.6302 | 15.0 | 11970 | 0.3093 | 0.9153 | |
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| 0.636 | 16.0 | 12768 | 0.3184 | 0.9044 | |
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| 0.6327 | 17.0 | 13566 | 0.3104 | 0.9117 | |
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| 0.6428 | 18.0 | 14364 | 0.3158 | 0.9084 | |
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| 0.6515 | 19.0 | 15162 | 0.3129 | 0.9097 | |
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| 0.6441 | 20.0 | 15960 | 0.3115 | 0.9100 | |
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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 2.6.1 |
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- Tokenizers 0.13.1 |
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