End of training

README.md

@@ -11,23 +11,23 @@ tags:
 datasets:
 - Shreyask09/synthetic-speaker-diarization-dataset-hindi
 model-index:
-- name: speaker-segmentation-fine-tuned-hindi-2.0
+- name: speaker-segmentation-fine-tuned-hindi
   results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# speaker-segmentation-fine-tuned-hindi-2.0
+# speaker-segmentation-fine-tuned-hindi
 
 This model is a fine-tuned version of [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) on the Shreyask09/synthetic-speaker-diarization-dataset-hindi dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2872
-- Model Preparation Time: 0.0039
-- Der: 0.1006
-- False Alarm: 0.0132
-- Missed Detection: 0.0236
-- Confusion: 0.0638
+- Loss: 0.3013
+- Model Preparation Time: 0.004
+- Der: 0.1018
+- False Alarm: 0.0131
+- Missed Detection: 0.0241
+- Confusion: 0.0646
 
 ## Model description
 
@@ -58,11 +58,11 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Model Preparation Time | Der    | False Alarm | Missed Detection | Confusion |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:-----------:|:----------------:|:---------:|
-| 0.3605        | 1.0   | 219  | 0.3318          | 0.0039                 | 0.1130 | 0.0138      | 0.0292           | 0.0700    |
-| 0.2874        | 2.0   | 438  | 0.3085          | 0.0039                 | 0.1028 | 0.0142      | 0.0252           | 0.0633    |
-| 0.2541        | 3.0   | 657  | 0.2893          | 0.0039                 | 0.1000 | 0.0126      | 0.0245           | 0.0628    |
-| 0.2405        | 4.0   | 876  | 0.2850          | 0.0039                 | 0.0984 | 0.0136      | 0.0232           | 0.0615    |
-| 0.2499        | 5.0   | 1095 | 0.2872          | 0.0039                 | 0.1006 | 0.0132      | 0.0236           | 0.0638    |
+| 0.3506        | 1.0   | 219  | 0.3386          | 0.004                  | 0.1165 | 0.0156      | 0.0288           | 0.0722    |
+| 0.2898        | 2.0   | 438  | 0.3218          | 0.004                  | 0.1080 | 0.0131      | 0.0267           | 0.0682    |
+| 0.2479        | 3.0   | 657  | 0.3004          | 0.004                  | 0.1034 | 0.0134      | 0.0245           | 0.0655    |
+| 0.2413        | 4.0   | 876  | 0.3027          | 0.004                  | 0.1020 | 0.0129      | 0.0244           | 0.0647    |
+| 0.2506        | 5.0   | 1095 | 0.3013          | 0.004                  | 0.1018 | 0.0131      | 0.0241           | 0.0646    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:93151c086b9c26ab8823056be8b4ea94a72b97ad4c153b606b8eef5882683c1c
 size 5899124

runs/Jan17_09-46-40_b466deb30dcc/events.out.tfevents.1737107209.b466deb30dcc.1528.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:184d48a2e380d564a33690a455882170b790195fe1435d7231c87b755fef4101
-size 16490
+oid sha256:3f926834bb3d63b1326f684bc7ddd2bf3221d6d99ef072ffb6e7831e3f77a00f
+size 17396