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 diarizers-community/callhome eng 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 diarizers-community/callhome eng dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4587
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- Der: 0.1824
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- False Alarm: 0.0587
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- Missed Detection: 0.0707
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- Confusion: 0.0529
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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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| 0.4181 | 1.0 | 362 | 0.4878 | 0.1940 | 0.0577 | 0.0756 | 0.0607 |
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| 0.3931 | 2.0 | 724 | 0.4616 | 0.1827 | 0.0590 | 0.0718 | 0.0520 |
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| 0.3766 | 3.0 | 1086 | 0.4643 | 0.1826 | 0.0576 | 0.0723 | 0.0527 |
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| 0.3661 | 4.0 | 1448 | 0.4603 | 0.1832 | 0.0620 | 0.0682 | 0.0530 |
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| 0.3568 | 5.0 | 1810 | 0.4587 | 0.1824 | 0.0587 | 0.0707 | 0.0529 |
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### Framework versions
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