End of training

README.md

@@ -25,12 +25,12 @@ should probably proofread and complete it, then remove this comment. -->
 
 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.
 It achieves the following results on the evaluation set:
-- Loss: 0.3564
-- Model Preparation Time: 0.0016
-- Der: 0.1151
-- False Alarm: 0.0629
-- Missed Detection: 0.0211
-- Confusion: 0.0312
+- Loss: 0.3692
+- Model Preparation Time: 0.004
+- Der: 0.1171
+- False Alarm: 0.0608
+- Missed Detection: 0.0237
+- Confusion: 0.0326
 
 ## Model description
 
@@ -61,11 +61,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der    | False Alarm | Missed Detection | Confusion |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:-----------:|:----------------:|:---------:|
-| 0.6452        | 1.0   | 47   | 0.3749          | 0.0016                 | 0.1243 | 0.0629      | 0.0220           | 0.0394    |
-| 0.5163        | 2.0   | 94   | 0.3950          | 0.0016                 | 0.1329 | 0.0619      | 0.0249           | 0.0461    |
-| 0.4782        | 3.0   | 141  | 0.3613          | 0.0016                 | 0.1173 | 0.0633      | 0.0215           | 0.0324    |
-| 0.4698        | 4.0   | 188  | 0.3567          | 0.0016                 | 0.1154 | 0.0625      | 0.0216           | 0.0312    |
-| 0.4726        | 5.0   | 235  | 0.3564          | 0.0016                 | 0.1151 | 0.0629      | 0.0211           | 0.0312    |
+| 0.6458        | 1.0   | 47   | 0.3909          | 0.004                  | 0.1246 | 0.0619      | 0.0247           | 0.0380    |
+| 0.5198        | 2.0   | 94   | 0.3743          | 0.004                  | 0.1243 | 0.0596      | 0.0267           | 0.0379    |
+| 0.4773        | 3.0   | 141  | 0.3716          | 0.004                  | 0.1189 | 0.0616      | 0.0230           | 0.0343    |
+| 0.4667        | 4.0   | 188  | 0.3707          | 0.004                  | 0.1175 | 0.0600      | 0.0245           | 0.0330    |
+| 0.4657        | 5.0   | 235  | 0.3692          | 0.004                  | 0.1171 | 0.0608      | 0.0237           | 0.0326    |
 
 
 ### Framework versions

runs/Mar17_06-37-13_4e4c3e5d27a9/events.out.tfevents.1742193485.4e4c3e5d27a9.1299.0

@@ -1,3 +1,3 @@
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+size 10124