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+ ---
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+ license: apache-2.0
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+ language:
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+ - en
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+ ---
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+
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+ OpenLLama-13B for reward modeling
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+
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+ - Dataset: https://huggingface.co/datasets/pvduy/rm_oa_hh
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+ - Logs: https://wandb.ai/sorry/autocrit/runs/j05t4e97?workspace=user-sorry
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+ - Code: https://github.com/CarperAI/autocrit/blob/main/train_reward_model.py
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+
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+ Usage:
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+
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+ ```python
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+ from transformers import AutoModelForSequenceClassification, AutoTokenizer
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+
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+ ckpt = "reciprocate/openllama-13b_rm_oasst-hh"
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+ model = AutoModelForSequenceClassification.from_pretrained(ckpt, load_in_4bit=True)
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+ tokenizer = AutoTokenizer.from_pretrained(ckpt)
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+
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+ model(**tokenizer("ASSISTANT: This sentence is a lie.", return_tensors="pt"))[0].item()
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+ ```
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+
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+ Output:
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+ ```python
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+ -1.626953125
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+ ```