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w2v-speech-emotion-recognition-custom
VasilisAsim/w2v-speech-emotion-recognition-custom
w2v-speech-emotion-recognition-custom is a audio classification model from VasilisAsim. 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 mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- mit
- Model type
- wav2vec2
- Access
- Public
- Created
- May 2, 2026
- Updated
- May 2, 2026
- SHA
- 459da72d
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. -->
w2v-speech-emotion-recognition-custom
This model is a fine-tuned version of Khoa/w2v-speech-emotion-recognition on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3475
- Accuracy: 0.8958
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
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| No log | 1.0 | 144 | 0.8780 | 0.6910 |
| No log | 2.0 | 288 | 0.4537 | 0.8542 |
| No log | 3.0 | 432 | 0.5019 | 0.8333 |
| 0.4495 | 4.0 | 576 | 0.3775 | 0.8993 |
| 0.4495 | 5.0 | 720 | 0.3475 | 0.8958 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- mit
- Created
- May 2, 2026
- Updated
- May 2, 2026