Update README.md

README.md

@@ -1,3 +1,32 @@
 ---
 license: cc-by-nc-4.0
+language:
+- mam
+metrics:
+- wer
+- cer
+base_model: facebook/wav2vec2-xls-r-300m
+tags:
+- speech
+- audio
+- automatic-speech-recognition
+- low-resource-language
+- guatemala
 ---
+
+# Automatic Speech Recognition (ASR) for the Mam Language
+
+This model is a fine-tuned version of Meta's **Wav2Vec2 XLS-R (300M)** architecture, specifically adapted for phonetic recognition and automatic transcription of the **Mam** language. The development of this system was carried out as a scientific research and engineering project at the Universidad de San Carlos de Guatemala (USAC), aimed at creating accessible language technology tools for low-resource languages.
+
+
+## License and Terms of Use
+
+This repository is distributed under the international **Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0)** license.
+
+### You are free to:
+* **Share:** Copy and redistribute the material in any medium or format.
+* **Adapt:** Remix, transform, and build upon the material for research purposes, educational software development, or cultural preservation.
+
+### Under the following terms:
+* **Attribution (BY):** You must give appropriate credit to the original author, provide a link to the license, and indicate if changes were made to the model weights or structure.
+* **NonCommercial (NC):** **You may not use this model, its mathematical weights, or its derivatives for commercial purposes, profit, or direct/indirect monetization.** Any integration into paid corporate systems, commercial APIs, or proprietary software tools requires express, written, and prior authorization from the research rights holder.