--- license: apache-2.0 language: - en pipeline_tag: text-generation datasets: - appvoid/no-prompt-50k --- ![palmer](https://huggingface.co/appvoid/palmer-001/resolve/main/new-logo.jpg) # palmer ### a better base model This is a small improvement over palmer-002 ### evaluation 🧪 note that this is a zero-shot setting as opposite to open llm leaderboard's few-shot evals ``` model ARC-C OBQA HellaSwag PIQA Winogrande Average tinyllama | 0.3029 | 0.3600 | 0.5935 | 0.7329 | 0.5959 | 0.5170 | palmer-002 | 0.3242 | 0.3700 | 0.5956 | 0.7345 | 0.5888 | 0.5226 | palmer-002-2401 | 0.3294 | 0.3700 | 0.5950 | 0.7399 | 0.5896 | 0.5247 | (this) babbage-002 | 0.3285 | 0.3620 | 0.6380 | 0.7606 | 0.6085 | 0.5395 | ``` ### training 🦾 Training took ~1 A100 gpu hour. It was trained on 50,000 gpt-4 shuffled samples. palmer was fine-tuned using lower learning rates ensuring it keeps as much general knowledge as possible. ### prompt 📝 ``` no prompt 🚀 ```