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distilhubert-finetuned-gtzan
pranjalks/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from pranjalks. 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
- Aug 20, 2023
- Updated
- Aug 24, 2023
- SHA
- 7b69a47a
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: 0.8444
- Accuracy: 0.83
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1376 | 1.0 | 113 | 1.9783 | 0.44 |
| 1.3879 | 2.0 | 226 | 1.2784 | 0.66 |
| 1.0967 | 3.0 | 339 | 1.0352 | 0.66 |
| 0.8639 | 4.0 | 452 | 0.8977 | 0.7 |
| 0.6308 | 5.0 | 565 | 0.7466 | 0.76 |
| 0.4585 | 6.0 | 678 | 0.7374 | 0.78 |
| 0.5213 | 7.0 | 791 | 0.6039 | 0.79 |
| 0.1958 | 8.0 | 904 | 0.7174 | 0.8 |
| 0.2075 | 9.0 | 1017 | 0.5657 | 0.85 |
| 0.1034 | 10.0 | 1130 | 0.6176 | 0.8 |
| 0.0308 | 11.0 | 1243 | 0.7378 | 0.85 |
| 0.103 | 12.0 | 1356 | 0.7759 | 0.82 |
| 0.0131 | 13.0 | 1469 | 0.8104 | 0.83 |
| 0.0103 | 14.0 | 1582 | 0.8175 | 0.83 |
| 0.0116 | 15.0 | 1695 | 0.8444 | 0.83 |
Framework versions
- Transformers 4.33.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 20, 2023
- Updated
- Aug 24, 2023