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distilhubert-finetuned-gtzan
zongxiao/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from zongxiao. 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
- Sep 21, 2023
- Updated
- Sep 21, 2023
- SHA
- 91a56003
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-finetuned-gtzan
This model is a fine-tuned version of ntu-spml/distilhubert on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.5365
- Accuracy: 0.84
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.002 | 1.0 | 112 | 1.8275 | 0.38 |
| 1.3205 | 2.0 | 225 | 1.1926 | 0.72 |
| 1.0811 | 3.0 | 337 | 0.9175 | 0.75 |
| 1.0449 | 4.0 | 450 | 0.8505 | 0.73 |
| 0.6167 | 5.0 | 562 | 0.6636 | 0.82 |
| 0.4868 | 6.0 | 675 | 0.7787 | 0.77 |
| 0.3014 | 7.0 | 787 | 0.5535 | 0.83 |
| 0.2111 | 8.0 | 900 | 0.5329 | 0.82 |
| 0.1308 | 9.0 | 1012 | 0.5277 | 0.85 |
| 0.0825 | 9.96 | 1120 | 0.5365 | 0.84 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Sep 21, 2023
- Updated
- Sep 21, 2023