End of training
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README.md
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This model is a fine-tuned version of [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) on the speaker-segmentation dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Model Preparation Time: 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 | Model Preparation Time | 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/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) on the speaker-segmentation dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3831
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- Model Preparation Time: 0.0038
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- Der: 0.1279
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- False Alarm: 0.0209
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- Missed Detection: 0.0105
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- Confusion: 0.0965
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der | False Alarm | Missed Detection | Confusion |
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|:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:-----------:|:----------------:|:---------:|
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| 0.4394 | 1.0 | 570 | 0.4349 | 0.0038 | 0.1462 | 0.0209 | 0.0115 | 0.1138 |
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| 0.3989 | 2.0 | 1140 | 0.4134 | 0.0038 | 0.1385 | 0.0211 | 0.0107 | 0.1067 |
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| 0.3797 | 3.0 | 1710 | 0.3871 | 0.0038 | 0.1302 | 0.0211 | 0.0104 | 0.0986 |
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| 0.3518 | 4.0 | 2280 | 0.3817 | 0.0038 | 0.1263 | 0.0209 | 0.0106 | 0.0948 |
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| 0.3269 | 5.0 | 2850 | 0.3831 | 0.0038 | 0.1279 | 0.0209 | 0.0105 | 0.0965 |
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### Framework versions
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runs/Apr09_06-39-05_cfa6223c5491/events.out.tfevents.1744180768.cfa6223c5491.1850.0
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version https://git-lfs.github.com/spec/v1
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size 32345
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