This model is a fine-tuned version of pyannote/segmentation-3.0 on the diarizers-community/callhome eng dataset. It achieves the following results on the evaluation set:

Loss: 0.4674
Der: 0.1833
False Alarm: 0.0583
Missed Detection: 0.0725
Confusion: 0.0526

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: 0.0003
train_batch_size: 64
eval_batch_size: 32
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
num_epochs: 20.0

Training results

Training Loss	Epoch	Step	Validation Loss	Der	False Alarm	Missed Detection	Confusion
0.4679	1.0	181	0.4997	0.2011	0.0620	0.0789	0.0602
0.4255	2.0	362	0.4820	0.1948	0.0604	0.0770	0.0574
0.4084	3.0	543	0.4808	0.1920	0.0598	0.0769	0.0553
0.4017	4.0	724	0.4787	0.1906	0.0584	0.0760	0.0562
0.3911	5.0	905	0.4716	0.1885	0.0572	0.0762	0.0552
0.3845	6.0	1086	0.4676	0.1875	0.0618	0.0718	0.0538
0.3877	7.0	1267	0.4682	0.1877	0.0584	0.0739	0.0555
0.3828	8.0	1448	0.4681	0.1849	0.0579	0.0740	0.0530
0.3768	9.0	1629	0.4645	0.1842	0.0581	0.0733	0.0528
0.3697	10.0	1810	0.4662	0.1838	0.0576	0.0734	0.0529
0.3731	11.0	1991	0.4697	0.1852	0.0607	0.0715	0.0530
0.3691	12.0	2172	0.4642	0.1829	0.0572	0.0734	0.0523
0.3663	13.0	2353	0.4701	0.1854	0.0611	0.0708	0.0535
0.3641	14.0	2534	0.4678	0.1835	0.0591	0.0714	0.0530
0.3631	15.0	2715	0.4655	0.1835	0.0583	0.0724	0.0528
0.3685	16.0	2896	0.4693	0.1838	0.0589	0.0720	0.0529
0.365	17.0	3077	0.4675	0.1836	0.0584	0.0724	0.0528
0.3618	18.0	3258	0.4675	0.1834	0.0582	0.0726	0.0526
0.3651	19.0	3439	0.4675	0.1833	0.0582	0.0725	0.0526
0.3583	20.0	3620	0.4674	0.1833	0.0583	0.0725	0.0526

Framework versions

Transformers 4.40.1
Pytorch 2.2.0+cu121
Datasets 2.17.0
Tokenizers 0.19.1

tgrhn/speaker-segmentation-fine-tuned-callhome-eng-5

speaker-segmentation-fine-tuned-callhome-eng-5

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

tgrhn/
speaker-segmentation-fine-tuned-callhome-eng-5