add training sample spec

README.md

@@ -26,7 +26,7 @@ metrics:
 # Model Card for **ASR** (CTC-based ASR on English)
 
 <!-- Provide a quick summary of what the model is/does. -->
-This repository contains an end‑to‑end **Automatic Speech Recognition (ASR)** pipeline built around Hugging Face Transformers. The default configuration fine‑tunes **`facebook/wav2vec2-base-960h`** with a **CTC** head on **Common Voice 17.0 (English)** and provides scripts to **train, evaluate, export to ONNX, and deploy on AWS SageMaker**. It also includes a robust audio loading stack (FFmpeg preferred, with fallbacks) and utilities for text normalization and evaluation (WER/CER).
+This repository contains an end‑to‑end **Automatic Speech Recognition (ASR)** pipeline built around Hugging Face Transformers. The default configuration fine‑tunes **`facebook/wav2vec2-base-960h`** with a **CTC** head on  50k sub sample of **Common Voice 17.0 (English)** and provides scripts to **train, evaluate, export to ONNX, and deploy on AWS SageMaker**. It also includes a robust audio loading stack (FFmpeg preferred, with fallbacks) and utilities for text normalization and evaluation (WER/CER).
 
 ## Model Details