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briangilbert
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speaker-segmentation-fine-tuned-callhome-eng

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speaker-diarization
speaker-segmentation
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End of training

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  1. README.md +10 -10
  2. model.safetensors +1 -1
  3. runs/Jul15_12-02-31_60f77f67871e/events.out.tfevents.1721045309.60f77f67871e.2765.0 +2 -2
README.md CHANGED
@@ -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: 0.4632
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- - Der: 0.1810
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- - False Alarm: 0.0575
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- - Missed Detection: 0.0707
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- - Confusion: 0.0528
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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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- | 0.4223 | 1.0 | 362 | 0.4718 | 0.1890 | 0.0617 | 0.0724 | 0.0549 |
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- | 0.3832 | 2.0 | 724 | 0.4581 | 0.1836 | 0.0561 | 0.0749 | 0.0526 |
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- | 0.3812 | 3.0 | 1086 | 0.4676 | 0.1846 | 0.0598 | 0.0702 | 0.0546 |
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- | 0.3607 | 4.0 | 1448 | 0.4610 | 0.1819 | 0.0585 | 0.0701 | 0.0533 |
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- | 0.3581 | 5.0 | 1810 | 0.4632 | 0.1810 | 0.0575 | 0.0707 | 0.0528 |
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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: 0.4642
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+ - Der: 0.1829
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+ - False Alarm: 0.0601
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+ - Missed Detection: 0.0701
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+ - Confusion: 0.0527
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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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+ | 0.4229 | 1.0 | 362 | 0.4808 | 0.1907 | 0.0575 | 0.0765 | 0.0568 |
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+ | 0.3931 | 2.0 | 724 | 0.4658 | 0.1884 | 0.0643 | 0.0680 | 0.0561 |
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+ | 0.3757 | 3.0 | 1086 | 0.4512 | 0.1829 | 0.0605 | 0.0698 | 0.0526 |
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+ | 0.3663 | 4.0 | 1448 | 0.4659 | 0.1833 | 0.0596 | 0.0707 | 0.0530 |
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+ | 0.3555 | 5.0 | 1810 | 0.4642 | 0.1829 | 0.0601 | 0.0701 | 0.0527 |
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  ### Framework versions
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