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speaker-segmentation-fine-tuned-bn
lucius-40/speaker-segmentation-fine-tuned-bn
speaker-segmentation-fine-tuned-bn is a machine learning model from lucius-40. 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. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- mit
- Model type
- pyannet
- Access
- Public
- Created
- Feb 10, 2026
- Updated
- Feb 10, 2026
- SHA
- 17cd5ab1
Base models
Datasets
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. -->
speaker-segmentation-fine-tuned-bn-v2
This model is a fine-tuned version of pyannote/segmentation-3.0 on the bengali-speaker-diarization dataset. It achieves the following results on the evaluation set:
- Loss: 0.4496
- Model Preparation Time: 0.0034
- Der: 0.1487
- False Alarm: 0.0385
- Missed Detection: 0.0281
- Confusion: 0.0821
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: 0.001
- 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: cosine
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der | False Alarm | Missed Detection | Confusion |
|---|---|---|---|---|---|---|---|---|
| 0.4078 | 1.0 | 153 | 0.4535 | 0.0034 | 0.1507 | 0.0424 | 0.0168 | 0.0915 |
| 0.3573 | 2.0 | 306 | 0.4361 | 0.0034 | 0.1501 | 0.0376 | 0.0302 | 0.0822 |
| 0.3413 | 3.0 | 459 | 0.4562 | 0.0034 | 0.1495 | 0.0405 | 0.0233 | 0.0857 |
| 0.3364 | 4.0 | 612 | 0.4496 | 0.0034 | 0.1487 | 0.0385 | 0.0281 | 0.0821 |
Framework versions
- Transformers 4.48.3
- Pytorch 2.9.0+cu126
- Datasets 3.6.0
- Tokenizers 0.21.4
- Library
- transformers
- Type
- pyannet
- License
- mit
- Languages
- bn
- Created
- Feb 10, 2026
- Updated
- Feb 10, 2026