End of training

README.md

@@ -19,11 +19,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.4654
-- Der: 0.1832
-- False Alarm: 0.0599
-- Missed Detection: 0.0724
-- Confusion: 0.0508
+- Loss: 0.4725
+- Der: 0.1881
+- False Alarm: 0.0588
+- Missed Detection: 0.0751
+- Confusion: 0.0541
 
 ## Model description
 
@@ -54,11 +54,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Der    | False Alarm | Missed Detection | Confusion |
 |:-------------:|:-----:|:----:|:---------------:|:------:|:-----------:|:----------------:|:---------:|
-| 0.4455        | 1.0   | 181  | 0.4776          | 0.1948 | 0.0699      | 0.0691           | 0.0558    |
-| 0.4049        | 2.0   | 362  | 0.4746          | 0.1916 | 0.0590      | 0.0763           | 0.0562    |
-| 0.3856        | 3.0   | 543  | 0.4631          | 0.1843 | 0.0565      | 0.0754           | 0.0524    |
-| 0.3796        | 4.0   | 724  | 0.4634          | 0.1834 | 0.0593      | 0.0726           | 0.0515    |
-| 0.3727        | 5.0   | 905  | 0.4654          | 0.1832 | 0.0599      | 0.0724           | 0.0508    |
+| 0.4468        | 1.0   | 181  | 0.4795          | 0.1939 | 0.0655      | 0.0711           | 0.0574    |
+| 0.4043        | 2.0   | 362  | 0.4747          | 0.1877 | 0.0559      | 0.0758           | 0.0560    |
+| 0.3907        | 3.0   | 543  | 0.4861          | 0.1943 | 0.0682      | 0.0720           | 0.0541    |
+| 0.3971        | 4.0   | 724  | 0.4792          | 0.1895 | 0.0600      | 0.0748           | 0.0547    |
+| 0.3886        | 5.0   | 905  | 0.4725          | 0.1881 | 0.0588      | 0.0751           | 0.0541    |
 
 
 ### Framework versions