Downloads · 30 days
3
1% of all-time downloads
distilhubert-finetuned-gtzan
ErfanMoosaviMonazzah/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from ErfanMoosaviMonazzah. 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
430
Public
Parameters
23.7M
948 MB 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
- Jul 6, 2024
- Updated
- Jul 7, 2024
- SHA
- d46c716b
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: 0.6236
- 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: 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
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.9476 | 1.0 | 113 | 1.8632 | 0.46 |
| 1.2024 | 2.0 | 226 | 1.3136 | 0.62 |
| 1.1069 | 3.0 | 339 | 1.0527 | 0.67 |
| 0.7423 | 4.0 | 452 | 1.0004 | 0.67 |
| 0.5759 | 5.0 | 565 | 0.8156 | 0.75 |
| 0.3826 | 6.0 | 678 | 0.6355 | 0.83 |
| 0.2862 | 7.0 | 791 | 0.6720 | 0.79 |
| 0.1407 | 8.0 | 904 | 0.6101 | 0.83 |
| 0.1513 | 9.0 | 1017 | 0.5967 | 0.83 |
| 0.104 | 10.0 | 1130 | 0.6236 | 0.84 |
Framework versions
- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 6, 2024
- Updated
- Jul 7, 2024