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distilhubert-finetuned-augtzan
HadrienCr/distilhubert-finetuned-augtzan
distilhubert-finetuned-augtzan is a machine learning model from HadrienCr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- apache-2.0
- Model type
- hubert
- Access
- Public
- Created
- Aug 22, 2024
- Updated
- Aug 25, 2024
- SHA
- b2f94e59
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-augtzan
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: 0.4862
- Accuracy: 0.85
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: 2e-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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.0875 | 1.0 | 450 | 1.0890 | 0.7 |
| 0.9658 | 2.0 | 900 | 0.7519 | 0.82 |
| 0.4759 | 3.0 | 1350 | 0.6324 | 0.8 |
| 0.4945 | 4.0 | 1800 | 0.5081 | 0.86 |
| 0.2206 | 5.0 | 2250 | 0.4862 | 0.85 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Type
- hubert
- License
- apache-2.0
- Created
- Aug 22, 2024
- Updated
- Aug 25, 2024