| | --- |
| | base_model: meta-llama/Llama-3.2-1B-Instruct |
| | library_name: transformers |
| | license: other |
| | tags: |
| | - llama-factory |
| | - full |
| | - generated_from_trainer |
| | model-index: |
| | - name: ScienceLLaMA-1B |
| | results: [] |
| | pipeline_tag: text-generation |
| | --- |
| | |
| | # ScienceLLaMA-3B |
| | <p align="center"> |
| | • 🤗 <a href="https://huggingface.co/datasets/JingyaoLi/Science-Logits-1.2M" target="_blank">Data </a> |
| | • 🤗 <a href="https://huggingface.co/JingyaoLi/ScienceLLaMA-3b" target="_blank">ScienceLLaMA-3B </a> |
| | • 🤗 <a href="https://huggingface.co/JingyaoLi/ScienceLLaMA-1b" target="_blank">ScienceLLaMA-1B </a> |
| | • 🐱 <a href="https://github.com/hiyouga/LLaMA-Factory" target="_blank">Code</a> |
| | • 📃 <a href="https://arxiv.org/abs/2505.24461" target="_blank">Paper</a> <br> |
| | </p> |
| |
|
| | This model is a fine-tuned with **Logits-Based Finetuning** on the [JingyaoLi/Science-Logits-1.2M](https://huggingface.co/datasets/JingyaoLi/Science-Logits-1.2M), which integrates the strengths of supervised learning and knowledge distillation by combining teacher logits with ground truth labels. This preserves both correctness and linguistic diversity. |
| |
|
| | <div style="text-align: center;"> |
| | <img src="./images/example.png" alt="example" /> |
| | </div> |
| | |
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 1e-06 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 8 |
| | - gradient_accumulation_steps: 4 |
| | - total_train_batch_size: 256 |
| | - total_eval_batch_size: 64 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | <div style="text-align: center;"> |
| | <img src="./images/performance.png" alt="performance" /> |
| | </div> |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.45.0 |
| | - Pytorch 2.4.0+cu121 |
| | - Datasets 2.21.0 |
| | - Tokenizers 0.20.1 |
