Downloads · 30 days
9
16% of all-time downloads
whisper-base-finetuned-gtzan
juliuserictuliao/whisper-base-finetuned-gtzan
whisper-base-finetuned-gtzan is a audio classification model from juliuserictuliao. 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
55
Public
Parameters
20.7M
829 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors82.9 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- whisper
- Access
- Public
- Created
- May 4, 2024
- Updated
- May 4, 2024
- SHA
- 4f0e7f9a
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. -->
whisper-base-finetuned-gtzan
This model is a fine-tuned version of openai/whisper-base on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.7883
- Accuracy: 0.89
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 |
|---|---|---|---|---|
| 1.2085 | 1.0 | 113 | 1.1946 | 0.63 |
| 0.7358 | 2.0 | 226 | 0.7745 | 0.72 |
| 0.5596 | 3.0 | 339 | 0.4850 | 0.88 |
| 0.1965 | 4.0 | 452 | 0.6614 | 0.81 |
| 0.013 | 5.0 | 565 | 0.7528 | 0.86 |
| 0.1476 | 6.0 | 678 | 0.5289 | 0.9 |
| 0.0542 | 7.0 | 791 | 0.7080 | 0.88 |
| 0.0018 | 8.0 | 904 | 0.7699 | 0.87 |
| 0.0016 | 9.0 | 1017 | 0.8014 | 0.88 |
| 0.0015 | 10.0 | 1130 | 0.7883 | 0.89 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.2.1+cu121
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Audio Classification
- Library
- transformers
- Type
- whisper
- License
- apache-2.0
- Created
- May 4, 2024
- Updated
- May 4, 2024