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distilhubert-finetuned-gtzan
pratik33/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from pratik33. 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
- Jul 12, 2023
- Updated
- Oct 3, 2023
- SHA
- 9fdf0fe6
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. -->
pratik33/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: 0.7774
- Accuracy: 0.7625
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 |
|---|---|---|---|---|
| 2.0699 | 1.0 | 75 | 2.0157 | 0.375 |
| 1.5657 | 2.0 | 150 | 1.4965 | 0.5775 |
| 1.3258 | 3.0 | 225 | 1.2250 | 0.6325 |
| 0.9701 | 4.0 | 300 | 1.0614 | 0.7175 |
| 0.9475 | 5.0 | 375 | 0.9632 | 0.725 |
| 0.8134 | 6.0 | 450 | 0.8347 | 0.7725 |
| 0.8038 | 7.0 | 525 | 0.8290 | 0.7575 |
| 0.3698 | 8.0 | 600 | 0.7886 | 0.775 |
| 0.4005 | 9.0 | 675 | 0.8095 | 0.7625 |
| 0.3392 | 10.0 | 750 | 0.7774 | 0.7625 |
Framework versions
- Transformers 4.33.3
- 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
- Jul 12, 2023
- Updated
- Oct 3, 2023