End of training

README.md

@@ -9,25 +9,25 @@ tags:
 - speaker-segmentation
 - generated_from_trainer
 datasets:
-- Samyak29/synthetic-speaker-diarization-dataset-hindi-large
+- Shreyask09/synthetic-speaker-diarization-dataset-hindi
 model-index:
-- name: speaker-segmentation-fine-tuned-hindi
+- name: speaker-segmentation-fine-tuned-hindi-2.0
   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
+# speaker-segmentation-fine-tuned-hindi-2.0
 
-This model is a fine-tuned version of [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) on the Samyak29/synthetic-speaker-diarization-dataset-hindi-large dataset.
+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: 0.3905
+- Loss: 0.2872
 - Model Preparation Time: 0.0039
-- Der: 0.1286
-- False Alarm: 0.0227
-- Missed Detection: 0.0270
-- Confusion: 0.0790
+- Der: 0.1006
+- False Alarm: 0.0132
+- Missed Detection: 0.0236
+- Confusion: 0.0638
 
 ## 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 |
 |:-------------:|:-----:|:----:|:---------------:|:----------------------:|:------:|:-----------:|:----------------:|:---------:|
-| 0.4526        | 1.0   | 219  | 0.4401          | 0.0039                 | 0.1423 | 0.0261      | 0.0297           | 0.0864    |
-| 0.4004        | 2.0   | 438  | 0.4090          | 0.0039                 | 0.1334 | 0.0228      | 0.0297           | 0.0810    |
-| 0.3571        | 3.0   | 657  | 0.3891          | 0.0039                 | 0.1249 | 0.0224      | 0.0273           | 0.0752    |
-| 0.3497        | 4.0   | 876  | 0.3877          | 0.0039                 | 0.1269 | 0.0238      | 0.0264           | 0.0767    |
-| 0.3609        | 5.0   | 1095 | 0.3905          | 0.0039                 | 0.1286 | 0.0227      | 0.0270           | 0.0790    |
+| 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    |
 
 
 ### Framework versions

model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
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+oid sha256:a16d96b16cd73ce73ed8573794b8906b079c4c0749badb781266f527d6b188b7
 size 5899124

runs/Jan07_10-10-15_a8e537aaa57b/events.out.tfevents.1736244628.a8e537aaa57b.695.0

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:ae2fd32c6f503de8235c12a5e31a57db2ba34d28982e3d7d333807126917630f
-size 16490
+oid sha256:c369c6f1aef4f82559f840e14726011ac5535fc229f127e92d3c03f34aaabf49
+size 17396