Downloads · 30 days
8
11% of all-time downloads
distilhubert-finetuned-gtzan
voxxer/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from voxxer. 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
74
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 12, 2023
- Updated
- Aug 12, 2023
- SHA
- b4d33a68
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: 0.6032
- Accuracy: 0.83
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 |
|---|---|---|---|---|
| 2.02 | 1.0 | 113 | 1.8369 | 0.51 |
| 1.3653 | 2.0 | 226 | 1.2255 | 0.65 |
| 1.0701 | 3.0 | 339 | 0.9829 | 0.73 |
| 0.8301 | 4.0 | 452 | 0.7949 | 0.77 |
| 0.603 | 5.0 | 565 | 0.6876 | 0.79 |
| 0.3919 | 6.0 | 678 | 0.6778 | 0.77 |
| 0.4883 | 7.0 | 791 | 0.5604 | 0.84 |
| 0.2322 | 8.0 | 904 | 0.5657 | 0.83 |
| 0.2752 | 9.0 | 1017 | 0.5678 | 0.84 |
| 0.1462 | 10.0 | 1130 | 0.6032 | 0.83 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 12, 2023
- Updated
- Aug 12, 2023