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End of training

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@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
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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: 0.4592
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- - Der: 0.1801
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- - False Alarm: 0.0585
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- - Missed Detection: 0.0704
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- - Confusion: 0.0512
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  ## Model description
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@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
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  | Training Loss | Epoch | Step | Validation Loss | Der | False Alarm | Missed Detection | Confusion |
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  |:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
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- | 0.4101 | 1.0 | 362 | 0.4686 | 0.1875 | 0.0544 | 0.0788 | 0.0543 |
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- | 0.3867 | 2.0 | 724 | 0.4671 | 0.1858 | 0.0605 | 0.0708 | 0.0544 |
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- | 0.3777 | 3.0 | 1086 | 0.4603 | 0.1817 | 0.0554 | 0.0737 | 0.0526 |
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- | 0.3557 | 4.0 | 1448 | 0.4635 | 0.1815 | 0.0594 | 0.0700 | 0.0521 |
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- | 0.3517 | 5.0 | 1810 | 0.4592 | 0.1801 | 0.0585 | 0.0704 | 0.0512 |
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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