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--- |
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license: apache-2.0 |
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base_model: ntu-spml/distilhubert |
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tags: |
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- generated_from_trainer |
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datasets: |
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- augmented_bass_sounds |
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metrics: |
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- accuracy |
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model-index: |
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- name: distilhubert-bass9 |
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results: |
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- task: |
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name: Audio Classification |
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type: audio-classification |
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dataset: |
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name: TheDuyx/augmented_bass_sounds |
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type: augmented_bass_sounds |
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metrics: |
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- name: Accuracy |
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type: accuracy |
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value: 0.9994121105232217 |
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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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# distilhubert-bass9 |
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This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the TheDuyx/augmented_bass_sounds dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0024 |
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- Accuracy: 0.9994 |
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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: 5e-05 |
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- train_batch_size: 16 |
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- eval_batch_size: 16 |
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- seed: 42 |
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- gradient_accumulation_steps: 5 |
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- total_train_batch_size: 80 |
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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: 3 |
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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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| 0.0433 | 1.0 | 382 | 0.0492 | 0.9877 | |
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| 0.0022 | 2.0 | 765 | 0.0061 | 0.9982 | |
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| 0.0013 | 2.99 | 1146 | 0.0024 | 0.9994 | |
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### Framework versions |
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- Transformers 4.39.2 |
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- Pytorch 2.2.2 |
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- Datasets 2.18.0 |
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- Tokenizers 0.15.2 |
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