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distilhubert-finetuned-gtzan
AdonaiHS/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from AdonaiHS. 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. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Jul 29, 2023
- Updated
- Sep 1, 2023
- SHA
- deebbf58
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: 0.9423
- Accuracy: 0.77
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-06
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 3000
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1574 | 8.85 | 500 | 1.8008 | 0.66 |
| 1.5882 | 17.7 | 1000 | 1.3509 | 0.7 |
| 1.2416 | 26.55 | 1500 | 1.1347 | 0.72 |
| 1.037 | 35.4 | 2000 | 1.0163 | 0.74 |
| 0.9152 | 44.25 | 2500 | 0.9583 | 0.76 |
| 0.8556 | 53.1 | 3000 | 0.9423 | 0.77 |
Framework versions
- Transformers 4.32.0
- Pytorch 1.12.1+cu113
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 29, 2023
- Updated
- Sep 1, 2023