Downloads · 30 days
9
15% of all-time downloads
distilhubert-finetuned-gtzan
linearity/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from linearity. 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
62
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
- Sep 5, 2023
- Updated
- Sep 15, 2023
- SHA
- c3517dfc
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: 0.5875
- 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
- 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
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9664 | 1.0 | 112 | 1.7811 | 0.51 |
| 1.2687 | 2.0 | 225 | 1.2183 | 0.73 |
| 0.8758 | 3.0 | 337 | 0.9457 | 0.72 |
| 0.7324 | 4.0 | 450 | 0.9182 | 0.76 |
| 0.4299 | 5.0 | 562 | 0.6771 | 0.79 |
| 0.3001 | 6.0 | 675 | 0.6645 | 0.78 |
| 0.22 | 7.0 | 787 | 0.5920 | 0.82 |
| 0.2417 | 8.0 | 900 | 0.6002 | 0.82 |
| 0.1849 | 9.0 | 1012 | 0.6047 | 0.83 |
| 0.1259 | 9.96 | 1120 | 0.5875 | 0.84 |
Framework versions
- Transformers 4.33.1
- 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
- Sep 5, 2023
- Updated
- Sep 15, 2023