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distilhubert-finetuned-gtzan
rudyong/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from rudyong. 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 6, 2023
- Updated
- Sep 11, 2023
- SHA
- aa61d5b5
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: 0.6073
- 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: 8
- eval_batch_size: 8
- seed: 42
- 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 |
|---|---|---|---|---|
| 1.9996 | 1.0 | 113 | 1.7954 | 0.57 |
| 1.3157 | 2.0 | 226 | 1.2129 | 0.67 |
| 0.9375 | 3.0 | 339 | 0.9223 | 0.76 |
| 0.817 | 4.0 | 452 | 0.8372 | 0.73 |
| 0.5425 | 5.0 | 565 | 0.7206 | 0.74 |
| 0.4381 | 6.0 | 678 | 0.6317 | 0.78 |
| 0.5359 | 7.0 | 791 | 0.5468 | 0.84 |
| 0.2037 | 8.0 | 904 | 0.5492 | 0.84 |
| 0.3028 | 9.0 | 1017 | 0.5550 | 0.8 |
| 0.1674 | 10.0 | 1130 | 0.6073 | 0.84 |
Framework versions
- Transformers 4.34.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Sep 6, 2023
- Updated
- Sep 11, 2023