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jb_mind_model
jakub-02/jb_mind_model
jb_mind_model is a audio classification model from jakub-02. 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 apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Apr 23, 2026
- Updated
- Apr 23, 2026
- SHA
- 650f8c8b
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. -->
<a href="https://huggingface.co/spaces/jakub-02/trackio" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
jb_mind_model
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.6530
- Accuracy: 0.0619
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 0.1
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 10.5658 | 1.0 | 15 | 2.6464 | 0.0442 |
| 9.7927 | 2.0 | 30 | 2.6471 | 0.0442 |
| 10.5340 | 3.0 | 45 | 2.6574 | 0.0619 |
| 9.7383 | 4.0 | 60 | 2.6564 | 0.0619 |
| 10.5205 | 5.0 | 75 | 2.6577 | 0.0619 |
| 9.7505 | 6.0 | 90 | 2.6541 | 0.0619 |
| 10.5118 | 7.0 | 105 | 2.6518 | 0.0619 |
| 9.6948 | 8.0 | 120 | 2.6514 | 0.0619 |
| 10.5060 | 9.0 | 135 | 2.6533 | 0.0619 |
| 9.7061 | 10.0 | 150 | 2.6530 | 0.0619 |
Framework versions
- Transformers 5.5.4
- Pytorch 2.11.0+cu130
- Datasets 4.8.4
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Apr 23, 2026
- Updated
- Apr 23, 2026