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speaker-segmentation-fine-tuned-korean2
ppxyn1/speaker-segmentation-fine-tuned-korean2
speaker-segmentation-fine-tuned-korean2 is a machine learning model from ppxyn1. 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
- Nov 13, 2025
- Updated
- Nov 17, 2025
- SHA
- 438c474c
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-korean2
This model is a fine-tuned version of pyannote/speaker-diarization-3.0 on the test_data dataset. It achieves the following results on the evaluation set:
- Loss: 0.0144
- Model Preparation Time: 0.0018
- Der: 0.0050
- False Alarm: 0.0
- Missed Detection: 0.0011
- Confusion: 0.0039
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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der | False Alarm | Missed Detection | Confusion |
|---|---|---|---|---|---|---|---|---|
| 0.0449 | 1.0 | 366 | 0.0436 | 0.0018 | 0.0156 | 0.0000 | 0.0015 | 0.0141 |
| 0.0768 | 2.0 | 732 | 0.0432 | 0.0018 | 0.0119 | 0.0 | 0.0015 | 0.0103 |
| 0.02 | 3.0 | 1098 | 0.0375 | 0.0018 | 0.0108 | 0.0 | 0.0015 | 0.0093 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.9.1+cu128
- Datasets 4.4.1
- Tokenizers 0.22.1
- Library
- transformers
- Type
- pyannet
- License
- mit
- Languages
- kr
- Created
- Nov 13, 2025
- Updated
- Nov 17, 2025