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distilhubert-finetuned-gtzan
SavorSauce/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from SavorSauce. 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
- Mar 6, 2024
- Updated
- Mar 6, 2024
- SHA
- ae0bf58b
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: 0.6498
- Accuracy: 0.8
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 |
|---|---|---|---|---|
| 1.992 | 1.0 | 113 | 1.9058 | 0.5 |
| 1.2074 | 2.0 | 226 | 1.2927 | 0.68 |
| 1.0224 | 3.0 | 339 | 1.0371 | 0.74 |
| 0.7185 | 4.0 | 452 | 0.8546 | 0.75 |
| 0.5399 | 5.0 | 565 | 0.7516 | 0.78 |
| 0.3032 | 6.0 | 678 | 0.6308 | 0.79 |
| 0.3264 | 7.0 | 791 | 0.6263 | 0.79 |
| 0.1369 | 8.0 | 904 | 0.6699 | 0.79 |
| 0.2099 | 9.0 | 1017 | 0.6283 | 0.81 |
| 0.1101 | 10.0 | 1130 | 0.6498 | 0.8 |
Framework versions
- Transformers 4.38.1
- Pytorch 2.2.1
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Mar 6, 2024
- Updated
- Mar 6, 2024