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lishantKarki/
speaker-segmentation-fine-tuned-nep

Name: speaker-segmentation-fine-tuned-nep
Availability: InStock

generated_from_trainer

pyannote/speaker-diarization-3.1

finetune

mit

endpoints_compatible

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speaker-segmentation-fine-tuned-nep

This model is a fine-tuned version of pyannote/speaker-diarization-3.1 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Model Preparation Time: 0.0043
Der: 0.0
False Alarm: 0.0
Missed Detection: 0.0
Confusion: 0.0

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: 0.0005
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: 15

Training results

Training Loss	Epoch	Step	Validation Loss	Model Preparation Time	Der	False Alarm	Missed Detection	Confusion
No log	1.0	28	0.1973	0.0043	0.0550	0.0007	0.0119	0.0424
0.7488	2.0	56	0.0012	0.0043	0.0	0.0	0.0	0.0
0.7488	3.0	84	0.0005	0.0043	0.0	0.0	0.0	0.0
0.0007	4.0	112	0.0005	0.0043	0.0	0.0	0.0	0.0
0.0007	5.0	140	0.0004	0.0043	0.0	0.0	0.0	0.0
0.0001	6.0	168	0.0004	0.0043	0.0	0.0	0.0	0.0
0.0001	7.0	196	0.0004	0.0043	0.0	0.0	0.0	0.0
0.0000	8.0	224	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	9.0	252	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	10.0	280	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	11.0	308	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	12.0	336	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	13.0	364	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	14.0	392	0.0003	0.0043	0.0	0.0	0.0	0.0
0.0000	15.0	420	0.0003	0.0043	0.0	0.0	0.0	0.0

Framework versions

Transformers 5.0.0
Pytorch 2.10.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2

lishantKarki/speaker-segmentation-fine-tuned-nep

speaker-segmentation-fine-tuned-nep

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

lishantKarki/
speaker-segmentation-fine-tuned-nep