Downloads · 30 days
9
7% of all-time downloads
distilhubert-finetuned-gtzan
jstoone/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from jstoone. 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
126
Public
Repo size
2.3 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
- Jul 30, 2023
- Updated
- Aug 12, 2023
- SHA
- 44d137fa
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: 0.8966
- 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: 4
- eval_batch_size: 4
- 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: 9
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.1326 | 1.0 | 225 | 0.6275 | 0.81 |
| 0.32 | 2.0 | 450 | 0.9461 | 0.78 |
| 0.4269 | 3.0 | 675 | 0.8966 | 0.84 |
| 0.1847 | 4.0 | 900 | 1.3268 | 0.8 |
| 0.0009 | 5.0 | 1125 | 1.0639 | 0.81 |
| 0.0006 | 6.0 | 1350 | 1.3213 | 0.81 |
| 0.0006 | 7.0 | 1575 | 1.1195 | 0.81 |
| 0.0004 | 8.0 | 1800 | 1.0799 | 0.83 |
| 0.0004 | 9.0 | 2025 | 1.1019 | 0.83 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 30, 2023
- Updated
- Aug 12, 2023