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.