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distilhubert-finetuned-gtzan
reichenbach/distilhubert-finetuned-gtzan
distilhubert-finetuned-gtzan is a audio classification model from reichenbach. 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 24, 2023
- Updated
- Aug 15, 2023
- SHA
- 47cd580c
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: 0.8933
- Accuracy: 0.83
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: 15
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.1059 | 1.0 | 113 | 1.9709 | 0.39 |
| 1.4561 | 2.0 | 226 | 1.2865 | 0.59 |
| 1.03 | 3.0 | 339 | 0.9918 | 0.75 |
| 0.8979 | 4.0 | 452 | 0.8700 | 0.77 |
| 0.6697 | 5.0 | 565 | 0.7090 | 0.79 |
| 0.3289 | 6.0 | 678 | 0.6646 | 0.77 |
| 0.3612 | 7.0 | 791 | 0.6384 | 0.83 |
| 0.068 | 8.0 | 904 | 0.5989 | 0.85 |
| 0.1159 | 9.0 | 1017 | 0.7136 | 0.83 |
| 0.0228 | 10.0 | 1130 | 0.8329 | 0.84 |
| 0.0484 | 11.0 | 1243 | 0.8401 | 0.84 |
| 0.0283 | 12.0 | 1356 | 0.8522 | 0.84 |
| 0.008 | 13.0 | 1469 | 0.8865 | 0.84 |
| 0.0066 | 14.0 | 1582 | 0.9048 | 0.85 |
| 0.0067 | 15.0 | 1695 | 0.8933 | 0.83 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.0
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Jul 24, 2023
- Updated
- Aug 15, 2023