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distilhubert-finetuned-gtzan
CodingQueen13/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from CodingQueen13. 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 4, 2024
- Updated
- Sep 9, 2024
- SHA
- e3427c3b
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: 0.6191
- Accuracy: 0.82
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: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1554 | 1.0 | 113 | 2.0427 | 0.44 |
| 1.5528 | 2.0 | 226 | 1.5599 | 0.5 |
| 1.3212 | 3.0 | 339 | 1.1755 | 0.6 |
| 0.9075 | 4.0 | 452 | 0.9560 | 0.73 |
| 0.7823 | 5.0 | 565 | 0.8967 | 0.74 |
| 0.7262 | 6.0 | 678 | 0.6578 | 0.8 |
| 0.5761 | 7.0 | 791 | 0.6274 | 0.81 |
| 0.3797 | 8.0 | 904 | 0.6923 | 0.82 |
| 0.4168 | 9.0 | 1017 | 0.5700 | 0.84 |
| 0.2646 | 10.0 | 1130 | 0.6484 | 0.81 |
| 0.1952 | 11.0 | 1243 | 0.5925 | 0.84 |
| 0.1403 | 12.0 | 1356 | 0.6551 | 0.82 |
| 0.1558 | 13.0 | 1469 | 0.6271 | 0.82 |
| 0.4606 | 14.0 | 1582 | 0.6272 | 0.82 |
| 0.2095 | 15.0 | 1695 | 0.6191 | 0.82 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Sep 4, 2024
- Updated
- Sep 9, 2024