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wav2vec2-dementia-buckets
dpraitality/wav2vec2-dementia-buckets
wav2vec2-dementia-buckets is a machine learning model from dpraitality. Use it for the machine learning 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
- Library
- transformers
- Model type
- wav2vec2
- Access
- Public
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025
- SHA
- 370b625d
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. -->
wav2vec2-dementia-buckets
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.7552
- Accuracy: 0.2553
- Acc Dem 0: 0.0
- Acc Dem 10: 0.0
- Acc Dem 15: 0.0
- Acc Dem 5: 0.1667
- Acc No 1: 0.0476
- Acc No 2: 0.4737
- Acc No 3: 0.4615
- Binary Dem Accuracy: 0.6702
- Binary Dem F1: 0.2791
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
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- 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: 12
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Acc Dem 0 | Acc Dem 10 | Acc Dem 15 | Acc Dem 5 | Acc No 1 | Acc No 2 | Acc No 3 | Binary Dem Accuracy | Binary Dem F1 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1.7546 | 5.8824 | 100 | 1.7888 | 0.2766 | 0.0 | 0.0 | 0.0 | 0.5 | 0.0 | 0.0 | 0.7692 | 0.6702 | 0.4151 |
| 1.5617 | 11.7647 | 200 | 1.7552 | 0.2553 | 0.0 | 0.0 | 0.0 | 0.1667 | 0.0476 | 0.4737 | 0.4615 | 0.6702 | 0.2791 |
Framework versions
- Transformers 4.57.2
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Library
- transformers
- Type
- wav2vec2
- Created
- Dec 8, 2025
- Updated
- Dec 8, 2025