Update README.md

README.md

@@ -50,8 +50,8 @@ model-index:
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 15 dataset.
 It achieves the following results on the evaluation set:
-- Wer: 13.9913
-- Cer: 5.8844
+- Wer: 14.0178
+- Cer: 05.8824
 
 
 
@@ -67,8 +67,8 @@ test_dataset = load_dataset("mozilla-foundation/common_voice_13_0", "hi", split=
 wer = load_metric("wer")
 cer = load_metric("cer")
 
-processor = WhisperProcessor.from_pretrained("kingabzpro/whisper-small-hi-cv")
-model = WhisperForConditionalGeneration.from_pretrained("kingabzpro/whisper-small-hi-cv").to("cuda")
+processor = WhisperProcessor.from_pretrained("SakshiRathi77/whisper-hindi-kagglex")
+model = WhisperForConditionalGeneration.from_pretrained("SakshiRathi77/whisper-hindi-kagglex").to("cuda")
 test_dataset = test_dataset.cast_column("audio", Audio(sampling_rate=16000))
 
 def map_to_pred(batch):
@@ -89,5 +89,5 @@ print("CER: {:2f}".format(100 * cer.compute(predictions=result["prediction"], re
 ```
 ```bash
 WER: 23.1361
-CER:  10.4366
+CER: 10.4366
 ```