Create README.md

README.md

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+---
+language:
+- id
+base_model:
+- openai/whisper-tiny
+pipeline_tag: automatic-speech-recognition
+datasets:
+- mozilla-foundation/common_voice_23_0
+---
+
+# Whisper Tiny Model – Indonesian ASR
+
+## Model Description
+This model is a fine-tuned version of **openai/whisper-tiny** for **Automatic Speech Recognition (ASR)** in **Indonesian (id)**.  
+It supports transcription of Indonesian speech into text across various audio conditions, with performance and resource usage depending on the selected model size.
+
+## Intended Use
+- Indonesian speech-to-text transcription
+- Research and experimentation
+- Educational and academic purposes
+- Application development and benchmarking
+
+Model variants (tiny, base, small, medium, large) differ in accuracy, speed, and hardware requirements. Users should select the size that best matches their constraints and objectives.
+
+## Limitations
+- Transcription quality depends on audio clarity, speaker accent, and background noise
+- Smaller variants may produce higher error rates on long or complex audio
+- Larger variants require significantly more compute and memory
+- Outputs should be reviewed before use in critical or high-risk applications
+
+## Training Data
+This model was fine-tuned using **Mozilla Common Voice v23.0 (Indonesian)**.  
+Common Voice is a publicly available, community-driven speech dataset released by Mozilla under a permissive license.  
+Dataset characteristics such as speaker diversity, recording quality, and utterance length may influence model behavior.
+
+## Evaluation
+The model is typically evaluated using **Word Error Rate (WER)**.  
+Evaluation results may vary depending on dataset, domain, audio conditions, and model size.
+
+## Training results
+| Step | Training Loss |
+|------|---------------|
+| 100|	1.282900|
+|200|	0.682300|
+|300|	0.568900|
+|400|	0.487500|
+|500|	0.372700|
+|600|	0.375500|
+|700|	0.276200|
+|800|	0.226000|
+|900|	0.223800|
+|1000|	0.188600|
+|1100|	0.164300|
+|1200|	0.151400|
+|1300|	0.130000|
+|1400|	0.133900|
+|1500|	0.119700|
+|1550|	0.117300|