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wavlm-emotion
spudnik/wavlm-emotion
wavlm-emotion is a audio classification model from spudnik. 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
- Mar 6, 2025
- Updated
- Mar 12, 2025
- SHA
- 9db07951
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-emotion
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: 1.9485
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: 1e-05
- train_batch_size: 32
- eval_batch_size: 32
- 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
- num_epochs: 50
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| No log | 1.0 | 96 | 1.9509 |
| 1.9473 | 2.0 | 192 | 1.9486 |
| 1.9469 | 3.0 | 288 | 1.9512 |
| 1.9469 | 4.0 | 384 | 1.9495 |
| 1.9471 | 5.0 | 480 | 1.9488 |
| 1.9468 | 6.0 | 576 | 1.9474 |
| 1.9478 | 7.0 | 672 | 1.9510 |
| 1.9487 | 8.0 | 768 | 1.9510 |
| 1.9487 | 9.0 | 864 | 1.9466 |
| 1.9471 | 10.0 | 960 | 1.9465 |
| 1.9471 | 11.0 | 1056 | 1.9505 |
| 1.9477 | 12.0 | 1152 | 1.9467 |
| 1.9479 | 13.0 | 1248 | 1.9465 |
| 1.948 | 14.0 | 1344 | 1.9439 |
| 1.9473 | 15.0 | 1440 | 1.9488 |
| 1.9488 | 16.0 | 1536 | 1.9432 |
| 1.9472 | 17.0 | 1632 | 1.9491 |
| 1.9465 | 18.0 | 1728 | 1.9461 |
| 1.9468 | 19.0 | 1824 | 1.9507 |
| 1.9481 | 20.0 | 1920 | 1.9480 |
| 1.9471 | 21.0 | 2016 | 1.9442 |
| 1.9477 | 22.0 | 2112 | 1.9466 |
| 1.9474 | 23.0 | 2208 | 1.9504 |
| 1.9468 | 24.0 | 2304 | 1.9496 |
| 1.9476 | 25.0 | 2400 | 1.9464 |
| 1.9476 | 26.0 | 2496 | 1.9466 |
| 1.9471 | 27.0 | 2592 | 1.9473 |
| 1.9467 | 28.0 | 2688 | 1.9485 |
| 1.9468 | 29.0 | 2784 | 1.9477 |
| 1.9471 | 30.0 | 2880 | 1.9484 |
| 1.9458 | 31.0 | 2976 | 1.9472 |
| 1.9476 | 32.0 | 3072 | 1.9475 |
| 1.9468 | 33.0 | 3168 | 1.9482 |
| 1.9468 | 34.0 | 3264 | 1.9495 |
| 1.9463 | 35.0 | 3360 | 1.9497 |
| 1.9474 | 36.0 | 3456 | 1.9490 |
| 1.9462 | 37.0 | 3552 | 1.9481 |
| 1.9458 | 38.0 | 3648 | 1.9490 |
| 1.9461 | 39.0 | 3744 | 1.9486 |
| 1.9446 | 40.0 | 3840 | 1.9488 |
| 1.946 | 41.0 | 3936 | 1.9490 |
| 1.9467 | 42.0 | 4032 | 1.9487 |
| 1.9466 | 43.0 | 4128 | 1.9485 |
| 1.9463 | 44.0 | 4224 | 1.9486 |
| 1.9459 | 45.0 | 4320 | 1.9486 |
| 1.9458 | 46.0 | 4416 | 1.9487 |
| 1.9464 | 47.0 | 4512 | 1.9485 |
| 1.946 | 48.0 | 4608 | 1.9485 |
| 1.9459 | 49.0 | 4704 | 1.9485 |
| 1.9459 | 50.0 | 4800 | 1.9485 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.21.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wavlm
- Created
- Mar 6, 2025
- Updated
- Mar 12, 2025