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---
license: apache-2.0
language:
- en
pipeline_tag: text-generation
datasets:
- appvoid/no-prompt-50k
---
# 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 🚀
```
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