Update README.md

README.md

@@ -1,12 +1,44 @@
 ---
-language:
-- ur
+library_name: transformers
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
-- generated_from_trainer
+- automatic-speech-recognition
+- whisper
+- urdu
+- mozilla-foundation/common_voice_17_0
 datasets:
 - mozilla-foundation/common_voice_17_0
+metrics:
+- wer
+- cer
+- bleu
+- chrf
+model-index:
+- name: whisper-tiny-urdu
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: CSALT Voice Dataset
+      type: urdu-asr/csalt-voice
+      split: validation
+    metrics:
+    - type: wer
+      value: 64.961
+      name: WER
+    - type: cer
+      value: 42.488
+      name: CER
+    - type: bleu
+      value: 16.710
+      name: BLEU
+    - type: chrf
+      value: 43.545
+      name: ChrF
+language:
+- ur
 pipeline_tag: automatic-speech-recognition
 ---
 
@@ -18,6 +50,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Common Voice 17.0 dataset.
 
+>👉 Review the testing script: [Testing Urdu Whisper tiny](https://www.kaggle.com/code/kingabzpro/testing-urdu-whisper-tiny?scriptVersionId=250300591)
+
 ## Model description
 
 Whisper Tiny Urdu ASR Model
@@ -32,6 +66,17 @@ Despite being the smallest variant in its family, this model achieves Good perfo
 
 This model is particularly suited for applications on edge devices with limited computational resources. Additionally, it can be converted to a FasterWhisper model using the CTranslate2 library, allowing for even faster inference on devices with lower processing power.
 
+## Evaluation
+
+Urdu ASR Evaluation on [urdu-asr/csalt-voice](https://huggingface.co/datasets/urdu-asr/csalt-voice) (Validation Split). 
+
+| Metric | Value    | Description                        |
+|--------|----------|------------------------------------|
+| **WER**   | 64.961%  | Word Error Rate (lower is better) |
+| **CER**   | 42.488%  | Character Error Rate              |
+| **BLEU**  | 16.710% | BLEU Score (higher is better)     |
+| **ChrF**  | 43.545 | Character n-gram F-score          |
+
 ### Training hyperparameters
 
 The following hyperparameters were used during training: