Final model after training

README.md

@@ -1,26 +1,18 @@
 ---
 library_name: transformers
-language:
-- en
-license: mit
-base_model: pyannote/speaker-diarization-3.1
 tags:
-- speaker-diarization
-- speaker-segmentation
 - generated_from_trainer
-datasets:
-- diarizers-community/voxconverse
 model-index:
-- name: JSWOOK/pyannote_finetuning
+- name: pyannote_fine_tuning
   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. -->
 
-# JSWOOK/pyannote_finetuning
+# pyannote_fine_tuning
 
-This model is a fine-tuned version of [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) on the diarizers-community/voxconverse dataset.
+This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1283
 - Model Preparation Time: 0.0036