Downloads · 30 days
17
6% of all-time downloads
distilhubert-finetuned_gtzan
constantinych/distilhubert-finetuned_gtzan
distilhubert-finetuned_gtzan is a audio classification model from constantinych. 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
303
Public
Parameters
23.7M
1.3 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors94.8 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Dec 12, 2024
- Updated
- Jan 20, 2025
- SHA
- 71a67a08
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: 0.8663
- Accuracy: 0.74
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 7
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7423 | 1.0 | 113 | 1.8224 | 0.43 |
| 1.2488 | 2.0 | 226 | 1.3386 | 0.59 |
| 1.0844 | 3.0 | 339 | 1.0498 | 0.7 |
| 0.49 | 4.0 | 452 | 0.9295 | 0.72 |
| 0.5017 | 5.0 | 565 | 0.8418 | 0.75 |
| 0.3612 | 6.0 | 678 | 0.8414 | 0.75 |
| 0.3045 | 7.0 | 791 | 0.8663 | 0.74 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1
- Datasets 2.19.1
- Tokenizers 0.21.0
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Dec 12, 2024
- Updated
- Jan 20, 2025