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whitneyindonesia
whitneyten/whitneyindonesia
whitneyindonesia is a machine learning model from whitneyten. 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
- Mar 21, 2025
- Updated
- Mar 21, 2025
- SHA
- b986d330
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-id
This model is a fine-tuned version of pyannote/speaker-diarization-3.1 on the speaker-segmentation dataset. It achieves the following results on the evaluation set:
- Loss: 0.5964
- Model Preparation Time: 0.0059
- Der: 0.2071
- False Alarm: 0.0393
- Missed Detection: 0.0410
- Confusion: 0.1268
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der | False Alarm | Missed Detection | Confusion |
|---|---|---|---|---|---|---|---|---|
| 0.7607 | 1.0 | 72 | 0.6580 | 0.0059 | 0.2281 | 0.0444 | 0.0462 | 0.1375 |
| 0.6374 | 2.0 | 144 | 0.6117 | 0.0059 | 0.2152 | 0.0385 | 0.0452 | 0.1315 |
| 0.5943 | 3.0 | 216 | 0.6168 | 0.0059 | 0.2163 | 0.0431 | 0.0412 | 0.1320 |
| 0.5547 | 4.0 | 288 | 0.6026 | 0.0059 | 0.2077 | 0.0401 | 0.0410 | 0.1265 |
| 0.5579 | 5.0 | 360 | 0.5964 | 0.0059 | 0.2071 | 0.0393 | 0.0410 | 0.1268 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Library
- transformers
- Type
- pyannet
- License
- mit
- Languages
- id
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025