Model save

README.md

@@ -1,25 +1,37 @@
 ---
 library_name: transformers
-language:
-- uz
-base_model: whisper-small
+license: apache-2.0
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_17_0
+- common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: Fine tuned whisper
-  results: []
+- name: whisper-small-uz
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: common_voice_17_0
+      type: common_voice_17_0
+      config: uz
+      split: train+validation
+      args: uz
+    metrics:
+    - name: Wer
+      type: wer
+      value: 45.62750916390295
 ---
 
 <!-- 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. -->
 
-# Fine tuned whisper
+# whisper-small-uz
 
-This model is a fine-tuned version of [whisper-small](https://huggingface.co/whisper-small) on the Common_Voice_17.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.6115
 - Wer: 45.6275

runs/Mar14_06-00-05_fe32eab220d3/events.out.tfevents.1741937981.fe32eab220d3.217.1

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