Update README.md

README.md

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 # whisper-small-es-ja
 
-This model is a fine-tuned version of OpenAI's whisper-small on the Marianoleiras/voxpopuli_es-ja dataset, designed for Spanish-to-Japanese speech-to-text (STT) tasks.
-It leverages OpenAI's Whisper architecture, which is well-suited for multilingual speech recognition and translation tasks.
+## Model Overview
+This model is a fine-tuned version of OpenAI's Whisper-small, specifically trained on the **Marianoleiras/voxpopuli_es-ja** dataset for Spanish-to-Japanese speech-to-text (STT) tasks.
+It employs the Whisper architecture, which is known for its robustness in multilingual speech recognition and translation scenarios.
 
-The model achieves the following results on the evaluation set:
-- Loss: 1.1724
-- Bleu: 22.2850
+The primary goal of this model is to enable accurate end-to-end transcription and translation of spoken Spanish into written Japanese.
+It was developed as part of a **three-week workshop organized by Yasmin Moslem**, focusing on speech-to-text pipelines.
+The workshop involved:
+1. **Dataset creation** during the first week.
+2. **Model training and optimization** during the second week.
+3. **In-depth exploration and evaluation** in the third week.
 
-And the following result on the test set:
-- Bleu: 21.4557
+The model achieves competitive performance metrics on the provided dataset:
+
+**Evaluation Set:**
+- Loss: **1.1724**
+- BLEU: **22.2850**
+
+**Test Set:**
+- BLEU: **21.4557**
 
 ## Training procedure