Create README.md

README.md

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+---
+language:
+- is
+---
+Icendanic Meta-LLaMA 3.1 8B Model
+
+Model Description:
+The Icendanic Meta-LLaMA 3.1 8B is a fine-tuned language model built for tasks involving Icelandic text. It is designed to handle a variety of natural language processing tasks, including text generation, translation, and analysis, while emphasizing Icelandic language features.
+
+Intended Use:
+This model is intended for research and educational purposes, with a focus on:
+
+Icelandic language modeling and processing:
+Text generation and contextual understanding.
+Translation and evaluation tasks.
+
+Not suitable for:
+Sensitive or production-critical applications where guaranteed performance and low latency are required.
+
+Training:
+The model was fine-tuned using a curated dataset (Icelandic_cleaned.json) on Meta's LLaMA architecture. Training was performed on GPU resources, with loss convergence monitored using training_validation_loss_meta_llama.png.
+
+Training Framework: PyTorch
+Optimization Techniques: Hyperparameter tuning, learning rate adjustments, and validation-based monitoring.
+
+Metrics:
+The primary evaluation metrics used for this model are:
+
+Training Loss
+Validation Loss
+The training curves are available for reference in training_validation_loss_plot.png.
+
+Usage:
+The model can be loaded using the transformers library from Hugging Face:
+
+python
+Copy code
+from transformers import AutoModelForCausalLM, AutoTokenizer
+
+tokenizer = AutoTokenizer.from_pretrained("path/to/icendanic-model")
+model = AutoModelForCausalLM.from_pretrained("path/to/icendanic-model")
+
+# Example usage
+input_text = "Hvernig er veðrið í dag?"
+inputs = tokenizer(input_text, return_tensors="pt")
+outputs = model.generate(**inputs)
+print(tokenizer.decode(outputs[0]))
+Limitations
+Limited training dataset scope may restrict performance on out-of-domain Icelandic text.
+May exhibit biases present in the original dataset.
+Results may vary depending on task complexity and input length.
+Citation
+If you use this model, please cite as:
+
+css
+Copy code
+@misc{icendanic_model,
+  author = {Icendanic Team},
+  title = {Icendanic Meta-LLaMA 3.1 8B Model},
+  year = 2024,
+  note = {https://huggingface.co/your-repository-name}
+}
+License
+This model is released without any specific license. Please ensure compliance with the original dataset's terms and conditions when using this model.
+
+Acknowledgements
+This project was developed as part of ongoing research and academic efforts.