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distilhubert-bass9
duyxsays/distilhubert-bass9
distilhubert-bass9 is a audio classification model from duyxsays. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 11, 2024
- SHA
- 1a2ec3ab
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
distilhubert-bass9
This model is a fine-tuned version of ntu-spml/distilhubert on the TheDuyx/augmented_bass_sounds dataset. It achieves the following results on the evaluation set:
- Loss: 0.0024
- Accuracy: 0.9994
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 5
- total_train_batch_size: 80
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0433 | 1.0 | 382 | 0.0492 | 0.9877 |
| 0.0022 | 2.0 | 765 | 0.0061 | 0.9982 |
| 0.0013 | 2.99 | 1146 | 0.0024 | 0.9994 |
Framework versions
- Transformers 4.39.2
- Pytorch 2.2.2
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- May 11, 2024
- Updated
- May 11, 2024