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wavlm-malayalam-binary
ramesh070/wavlm-malayalam-binary
wavlm-malayalam-binary is a audio classification model from ramesh070. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- Model type
- wavlm
- Access
- Public
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025
- SHA
- 2c9e7bc6
Base models
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. -->
wavlm-malayalam-binary
This model is a fine-tuned version of microsoft/wavlm-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2800
- Accuracy: 0.9659
- F1: 0.9677
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: 3e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- 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: 20
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 |
|---|---|---|---|---|---|
| 0.6631 | 1.0 | 23 | 0.6537 | 0.8409 | 0.8478 |
| 0.4699 | 2.0 | 46 | 0.2677 | 0.9205 | 0.9247 |
| 0.2441 | 3.0 | 69 | 0.2378 | 0.9318 | 0.9333 |
| 0.1424 | 4.0 | 92 | 0.1722 | 0.9545 | 0.9565 |
| 0.097 | 5.0 | 115 | 0.1579 | 0.9659 | 0.9691 |
| 0.1097 | 6.0 | 138 | 0.1662 | 0.9659 | 0.9677 |
| 0.04 | 7.0 | 161 | 0.1843 | 0.9659 | 0.9677 |
| 0.0591 | 8.0 | 184 | 0.2041 | 0.9659 | 0.9677 |
| 0.0262 | 9.0 | 207 | 0.2261 | 0.9659 | 0.9677 |
| 0.0249 | 10.0 | 230 | 0.3226 | 0.9545 | 0.9565 |
| 0.0401 | 11.0 | 253 | 0.1761 | 0.9773 | 0.9787 |
| 0.0199 | 12.0 | 276 | 0.1896 | 0.9773 | 0.9787 |
| 0.012 | 13.0 | 299 | 0.2001 | 0.9773 | 0.9787 |
| 0.0128 | 14.0 | 322 | 0.2171 | 0.9773 | 0.9787 |
| 0.0289 | 15.0 | 345 | 0.2275 | 0.9773 | 0.9787 |
| 0.0001 | 16.0 | 368 | 0.2367 | 0.9773 | 0.9787 |
| 0.0197 | 17.0 | 391 | 0.2454 | 0.9773 | 0.9787 |
| 0.0083 | 18.0 | 414 | 0.3432 | 0.9659 | 0.9677 |
| 0.0002 | 19.0 | 437 | 0.3327 | 0.9659 | 0.9677 |
| 0.0018 | 20.0 | 460 | 0.2800 | 0.9659 | 0.9677 |
Framework versions
- Transformers 4.53.3
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.21.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wavlm
- Created
- Dec 3, 2025
- Updated
- Dec 3, 2025