speaker-segmentation-fine-tuned-callhome-zho-v8
This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome zho dataset.
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_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- num_epochs: 5.0
Training results
Framework versions
- Transformers 4.56.2
- Pytorch 2.8.0+cu128
- Datasets 4.1.1
- Tokenizers 0.22.1
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Model tree for whjie/speaker-segmentation-fine-tuned-callhome-zho-v8
Base model
pyannote/segmentation-3.0