End of training

README.md

@@ -1,21 +1,35 @@
 ---
+language:
+- ar
 license: apache-2.0
-base_model: arbml/whisper-medium-ar
+base_model: nadsoft/hamsa-v0.1-beta
 tags:
 - generated_from_trainer
+datasets:
+- nadsoft/nadsoft-meetings-v2
 metrics:
 - wer
 model-index:
-- name: hamsa-meetingsv2.5
-  results: []
+- name: Hamsa-meetings
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: nadsoft/nadsoft-meetings-v2
+      type: nadsoft/nadsoft-meetings-v2
+    metrics:
+    - name: Wer
+      type: wer
+      value: 43.449519230769226
 ---
 
 <!-- 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. -->
 
-# hamsa-meetingsv2.5
+# Hamsa-meetings
 
-This model is a fine-tuned version of [arbml/whisper-medium-ar](https://huggingface.co/arbml/whisper-medium-ar) on an unknown dataset.
+This model is a fine-tuned version of [nadsoft/hamsa-v0.1-beta](https://huggingface.co/nadsoft/hamsa-v0.1-beta) on the nadsoft/nadsoft-meetings-v2 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.9346
 - Wer Ortho: 43.4495