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