Create README.md

README.md

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+---
+license: mit
+datasets:
+- thennal/IMaSC
+language:
+- ml
+model-index:
+- name: Malwhisper-v1-medium - Kurian Benoy
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: ml
+      split: test
+      args: ml
+    metrics:
+    - type: wer
+      value: 23.69
+      name: WER
+    - type: cer
+      value: 12.17
+      name: CER
+library_name: transformers
+---
+
+## Malwhisper-v1-small
+
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) fine-tuned on [IMASc dataset](https://www.kaggle.com/datasets/thennal/imasc). 
+
+IMaSC is a Malayalam text and speech corpus made available by ICFOSS for the purpose of developing speech technology for Malayalam, particularly text-to-speech. The corpus contains 34,473 text-audio pairs of Malayalam sentences spoken by 8 speakers, totalling in approximately 50 hours of audio.
+
+The fine-tuned model on evaluating in the following dataset:
+
+**In Mozilla CommonVoice 11.0 dataset (Malayalam subset):**
+
+WER - 23.69
+
+CER - 12.17
+
+**In SMC Malayalam Speech Corpus dataset:**
+
+WER - 23.8
+
+CER - 12.63