Downloads · 30 days
10
9% of all-time downloads
distilhubert-finetuned-gtzan
Liea/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from Liea. 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
109
Public
Repo size
1.1 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
- Jul 26, 2023
- Updated
- Jul 27, 2023
- SHA
- ac26e30a
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: 0.6895
- Accuracy: 0.7867
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 |
|---|---|---|---|---|
| 2.0249 | 1.0 | 88 | 1.9523 | 0.4667 |
| 1.3937 | 2.0 | 176 | 1.4094 | 0.62 |
| 1.2571 | 3.0 | 264 | 1.2109 | 0.6567 |
| 0.9939 | 4.0 | 352 | 0.9954 | 0.7067 |
| 0.7253 | 5.0 | 440 | 0.8227 | 0.78 |
| 0.6612 | 6.0 | 528 | 0.8231 | 0.76 |
| 0.3185 | 7.0 | 616 | 0.7390 | 0.79 |
| 0.2263 | 8.0 | 704 | 0.7152 | 0.78 |
| 0.4796 | 9.0 | 792 | 0.6964 | 0.7833 |
| 0.3332 | 10.0 | 880 | 0.6895 | 0.7867 |
Framework versions
- Transformers 4.32.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.14.0
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 26, 2023
- Updated
- Jul 27, 2023