End of training
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README.md
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This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) on the ArtFair/diarizers_dataset_70-15-15 default dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Der: 0.
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- False Alarm: 0.
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- Missed Detection: 0.
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- Confusion: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Der | False Alarm | Missed Detection | Confusion |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
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### Framework versions
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This model is a fine-tuned version of [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) on the ArtFair/diarizers_dataset_70-15-15 default dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3590
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- Der: 0.2602
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- False Alarm: 0.1497
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- Missed Detection: 0.0864
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- Confusion: 0.0241
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Der | False Alarm | Missed Detection | Confusion |
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|:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
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| 0.392 | 1.0 | 929 | 0.3807 | 0.2790 | 0.1647 | 0.0865 | 0.0278 |
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| 0.3543 | 2.0 | 1858 | 0.3680 | 0.2685 | 0.1530 | 0.0889 | 0.0266 |
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| 0.3494 | 3.0 | 2787 | 0.3526 | 0.2567 | 0.1427 | 0.0901 | 0.0238 |
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| 0.3287 | 4.0 | 3716 | 0.3592 | 0.2605 | 0.1496 | 0.0869 | 0.0240 |
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| 0.3339 | 5.0 | 4645 | 0.3590 | 0.2602 | 0.1497 | 0.0864 | 0.0241 |
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### Framework versions
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model.safetensors
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