Update README.md

README.md

@@ -22,15 +22,32 @@ This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.
 
 ## Model description
 
-More information needed
+Whisper-tiny-fa is an automatic speech recognition model specifically adapted for Persian (Farsi) speech. It builds upon OpenAI’s Whisper-tiny architecture, leveraging transfer learning to specialize in transcribing Persian audio. The model is suitable for converting spoken Persian audio into text, enabling applications such as voice assistants, captioning, and speech-driven user interfaces.
+
+- Base model: openai/whisper-tiny
+- Fine-tuned on: Common Voice 17.0 Persian subset
+- Languages supported: Persian (Farsi)
+- Model type: Encoder-decoder transformer (speech-to-text)
 
 ## Intended uses & limitations
 
-More information needed
+### Intended uses:
+
+Transcribing Persian (Farsi) speech to text from audio files or microphone input.
+Voice-controlled applications and speech interfaces for Persian speakers.
+Generating subtitles and closed captions in Persian for audio/video content.
+
+### Limitations:
+
+The model is fine-tuned for Persian and may perform poorly on other languages.
+Performance may degrade with low-quality or noisy audio, accents, or dialects not well represented in the training data.
+Not suitable for real-time applications with strict latency constraints due to model size and processing requirements.
 
 ## Training and evaluation data
 
-More information needed
+Dataset: Common Voice 17.0 (Persian subset)
+Data split: Training, validation, and test splits provided by Common Voice were used.
+Preprocessing: Audio files were resampled to 16kHz and normalized. Transcripts were cleaned and normalized to standard Persian orthography.
 
 ## Training procedure
 
@@ -49,6 +66,8 @@ The following hyperparameters were used during training:
 
 ### Training results
 
+- Best validation WER (Word Error Rate): 0.915
+- Best validation CER (Character Error Rate): 0.428
 
 
 ### Framework versions