Diarizers_finetuned_model_test

This model is a fine-tuned version of pyannote/segmentation-3.0 on the sparkleai/Diarizers_dataset_test default dataset. It achieves the following results on the evaluation set:

• Loss: 0.7692
• Der: 0.2484
• False Alarm: 0.0450
• Missed Detection: 0.0910
• Confusion: 0.1124

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: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: cosine
• num_epochs: 5.0

Training results

Training Loss	Epoch	Step	Validation Loss	Der	False Alarm	Missed Detection	Confusion
No log	1.0	6	0.8050	0.2813	0.0708	0.1119	0.0986
No log	2.0	12	0.7748	0.2592	0.0547	0.0991	0.1054
No log	3.0	18	0.7718	0.2502	0.0447	0.0941	0.1114
No log	4.0	24	0.7677	0.2484	0.0448	0.0915	0.1121
No log	5.0	30	0.7692	0.2484	0.0450	0.0910	0.1124

Framework versions

• Transformers 4.41.2
• Pytorch 2.3.0+cu121
• Datasets 2.20.0
• Tokenizers 0.19.1