Downloads · 30 days
5
5% of all-time downloads
distilhubert-finetuned-gtzan
Maimonator/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Maimonator. 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. --
All-time downloads
111
Public
Repo size
1 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin94.8 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Aug 26, 2023
- Updated
- Aug 26, 2023
- SHA
- f4a8c715
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: 0.5773
- Accuracy: 0.87
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7358 | 1.0 | 112 | 1.7961 | 0.48 |
| 1.1546 | 2.0 | 225 | 1.2427 | 0.68 |
| 0.993 | 3.0 | 337 | 0.9977 | 0.71 |
| 0.8209 | 4.0 | 450 | 0.7460 | 0.81 |
| 0.3556 | 5.0 | 562 | 0.6936 | 0.83 |
| 0.3828 | 6.0 | 675 | 0.5907 | 0.87 |
| 0.1966 | 7.0 | 787 | 0.5815 | 0.86 |
| 0.2307 | 8.0 | 900 | 0.5688 | 0.84 |
| 0.2076 | 9.0 | 1012 | 0.5973 | 0.88 |
| 0.0817 | 9.96 | 1120 | 0.5773 | 0.87 |
Framework versions
- Transformers 4.29.0.dev0
- Pytorch 2.0.0+cu117
- Datasets 2.11.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 26, 2023
- Updated
- Aug 26, 2023