Update README.md

README.md

@@ -1,3 +1,59 @@
----
-license: mit
----
+---
+license: apache-2.0
+tags:
+- generated_from_trainer
+- hf-asr-leaderboard
+- whisper-event
+metrics:
+- wer
+model-index:
+- name: openai/whisper-medium
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_17_0 kab
+      type: mozilla-foundation/common_voice_17_0
+      args: 'config: ml, split: test'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 16.15101446793939
+---
+
+<!-- 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. -->
+
+# openai/whisper-base
+
+This is an automatic speech recognition model that also does punctuation and casing. This model is for research only, **we do not recommend using this model on production environments**.
+
+This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the mozilla-foundation/common_voice_17_0 kab dataset.
+It achieves the following results on the evaluation set:
+- Loss: 
+- Wer: 
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+
+### Framework versions
+
+- Transformers 4.25.1
+- Pytorch 1.10.0+cu102
+- Datasets 2.8.0
+- Tokenizers 0.13.2