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README.md
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results: []
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# kto-mix-14k-lf-response-llama3-f1_100_0.8-fg0.5-fgudw4.0-kto-fg
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the trl-lib/kto-mix-14k and the chaoweihuang/lf-response-llama3-f1_100_0.8-fg0.5 datasets.
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It achieves the following results on the evaluation set:
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- Fg Kl: nan
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- Fg Loss: 0.7625
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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results: []
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# FactAlign-LLaMA-3-8B
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This model is aligned with our **FactAlign** framework for improved long-form factuality, from [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct).
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For more information, please refer to our paper: [FactAlign: Long-form Factuality Alignment of Large Language Models](https://huggingface.co/papers/2410.01691).
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## Model description
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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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This model is a fine-tuned version of [meta-llama/Meta-Llama-3-8B-Instruct](https://huggingface.co/meta-llama/Meta-Llama-3-8B-Instruct) on the trl-lib/kto-mix-14k and the chaoweihuang/lf-response-llama3-f1_100_0.8-fg0.5 datasets.
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It achieves the following results on the evaluation set:
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- Fg Kl: nan
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- Fg Loss: 0.7625
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## Training procedure
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