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hubert-base-ls960
Barani1-t/hubert-base-ls960
hubert-base-ls960 is a audio classification model from Barani1-t. 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
- Oct 26, 2023
- Updated
- Oct 26, 2023
- SHA
- 568477e2
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. -->
hubert-base-ls960-finetuned-gtzan
This model is a fine-tuned version of facebook/hubert-base-ls960 on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 1.0283
- 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: 20
Training results
| Training Loss | Epoch | Step | Accuracy | Validation Loss |
|---|---|---|---|---|
| 2.2494 | 1.0 | 113 | 0.36 | 2.1568 |
| 1.7795 | 2.0 | 226 | 0.38 | 1.7904 |
| 1.5798 | 3.0 | 339 | 0.5 | 1.6144 |
| 1.6354 | 4.0 | 452 | 0.66 | 1.2584 |
| 0.9675 | 5.0 | 565 | 0.64 | 1.1453 |
| 0.995 | 6.0 | 678 | 0.67 | 0.9740 |
| 1.2052 | 7.0 | 791 | 0.68 | 1.0552 |
| 0.7028 | 8.0 | 904 | 0.74 | 0.8980 |
| 0.7472 | 9.0 | 1017 | 0.72 | 0.9431 |
| 0.3181 | 10.0 | 1130 | 0.75 | 0.8750 |
| 0.3948 | 11.0 | 1243 | 0.73 | 1.0047 |
| 0.3507 | 12.0 | 1356 | 0.81 | 0.8054 |
| 0.1785 | 13.0 | 1469 | 0.84 | 0.7866 |
| 0.2453 | 14.0 | 1582 | 0.82 | 0.8960 |
| 0.2832 | 15.0 | 1695 | 0.81 | 1.0770 |
| 0.2132 | 16.0 | 1808 | 0.82 | 0.9359 |
| 0.1398 | 17.0 | 1921 | 0.81 | 1.0800 |
| 0.292 | 18.0 | 2034 | 0.84 | 0.9867 |
| 0.0181 | 19.0 | 2147 | 0.82 | 1.0585 |
| 0.0399 | 20.0 | 2260 | 1.0283 | 0.83 |
Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Audio Classification
- Library
- transformers
- Type
- hubert
- License
- apache-2.0
- Created
- Oct 26, 2023
- Updated
- Oct 26, 2023