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wavlm-base-plus-finetuned-gtzan
gouri100/wavlm-base-plus-finetuned-gtzan
wavlm-base-plus-finetuned-gtzan is a audio classification model from gouri100. 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.
--- libraryname: transformers basemodel: microsoft/wavlm-base-plus tags: - generatedfromtrainer metrics: - accuracy model-index: - name: wavlm-base-plus-finetuned-gtzan results: [] ---
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- wavlm
- Access
- Public
- Created
- Mar 10, 2026
- Updated
- Mar 11, 2026
- SHA
- 1232ffaa
Base models
Datasets
Model card
From the Hugging Face model README
library_name: transformers base_model: microsoft/wavlm-base-plus tags:
- generated_from_trainer metrics:
- accuracy model-index:
- name: wavlm-base-plus-finetuned-gtzan results: []
<!-- 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. -->
wavlm-base-plus-finetuned-gtzan
This model is a fine-tuned version of microsoft/wavlm-base-plus on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.5943
- Accuracy: 0.89
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|---|
| 2.0822 | 1.0 | 113 | 2.0457 | 0.42 |
| 1.6223 | 2.0 | 226 | 1.6291 | 0.55 |
| 1.4439 | 3.0 | 339 | 1.4600 | 0.57 |
| 1.0438 | 4.0 | 452 | 1.3878 | 0.56 |
| 1.0754 | 5.0 | 565 | 1.1733 | 0.58 |
| 1.0045 | 6.0 | 678 | 1.0091 | 0.65 |
| 0.8407 | 7.0 | 791 | 0.8909 | 0.81 |
| 0.4957 | 8.0 | 904 | 0.6995 | 0.86 |
| 0.7491 | 9.0 | 1017 | 0.6664 | 0.85 |
| 0.4468 | 10.0 | 1130 | 0.5943 | 0.89 |
Framework versions
- Transformers 4.53.2
- Pytorch 2.6.0+cu124
- Datasets 2.14.4
- Tokenizers 0.21.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wavlm
- Created
- Mar 10, 2026
- Updated
- Mar 11, 2026