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---
license: apache-2.0
language:
- en
---
Pre-trained model fine-tuned using Reinforcement Learning on [DIALOCONAN](https://github.com/marcoguerini/CONAN#dialoconan) dataset using [facebook/roberta-hate-speech-dynabench-r4-target](https://huggingface.co/facebook/roberta-hate-speech-dynabench-r4-target) as reward model.
Toxicity results on [allenai/real-toxicity-prompts](https://huggingface.co/datasets/allenai/real-toxicity-prompts) dataset using custom prompts (see 🥞[RewardLM](https://github.com/DanielSc4/RewardLM) for details).
| Toxicity Level | RedPajama-INCITE-Chat-3B |
|:--------------:|:------------------------:|
| Pre-Trained | 0.217 |
| **Fine-Tuned** | **0.129** |
| [RL](https://huggingface.co/DanielSc4/RedPajama-INCITE-Chat-3B-v1-RL-LoRA-8bit-test1) | 0.160 |
# [Open LLM Leaderboard Evaluation Results](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co/datasets/open-llm-leaderboard/details_DanielSc4__RedPajama-INCITE-Chat-3B-v1-FT-LoRA-8bit-test1)
| Metric | Value |
|-----------------------|---------------------------|
| Avg. | 33.13 |
| ARC (25-shot) | 38.65 |
| HellaSwag (10-shot) | 63.53 |
| MMLU (5-shot) | 25.16 |
| TruthfulQA (0-shot) | 36.07 |
| Winogrande (5-shot) | 60.14 |
| GSM8K (5-shot) | 0.08 |
| DROP (3-shot) | 8.24 |
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