Update README.md

README.md

@@ -47,14 +47,6 @@ This is a fine-tuned version of [openai/whisper-small](https://huggingface.co/op
 - **Training Data:** [ai4bharat/Kathbath](https://huggingface.co/datasets/ai4bharat/Kathbath)
 - **Fine-tuning Framework:** Transformers + Custom DALI Pipeline
 
-## Training Details
-
-The model was fine-tuned on the Kathbath Hindi dataset with the following configuration:
-- **Epochs:** 3
-- **Batch Size:** 4 (effective: 16 with gradient accumulation)
-- **Learning Rate:** 1e-5
-- **Mixed Precision:** FP16
-- **Gradient Checkpointing:** Enabled
 
 ## Evaluation Results
 
@@ -109,22 +101,6 @@ print(result["text"])
 - Best performance on clear audio with minimal background noise
 - May struggle with very fast speech or heavy code-mixing
 
-## Citation
-
-If you use this model, please cite:
 
-```bibtex
-@misc{vanshnawander_whisper_small_hindi_asr},
-  author = {AI4Bharat},
-  title = {vanshnawander/whisper-small-hindi-asr},
-  year = {2024},
-  publisher = {HuggingFace},
-  url = {https://huggingface.co/vanshnawander/whisper-small-hindi-asr}
-}
 ```
 
-## Acknowledgments
-
-- [OpenAI Whisper](https://github.com/openai/whisper) for the base model
-- [AI4Bharat](https://ai4bharat.iitm.ac.in/) for the Kathbath and LAHAJA datasets
-- [Hugging Face](https://huggingface.co/) for the transformers library