PEFT
flan
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+ ---
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+ datasets:
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+ - SirNeural/flan_v2
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+ metrics:
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+ - perplexity
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+ tags:
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+ - flan
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+ - opt
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+ - peft
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+ ---
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+
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+ ## FLAN-OPT-6.7b-LoRA
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+
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+ OPT was first introduced in [Open Pre-trained Transformer Language Models](https://arxiv.org/abs/2205.01068) and first released in [metaseq's repository](https://github.com/facebookresearch/metaseq) on May 3rd 2022 by Meta AI.
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+
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+ This model is [facebook/opt-6.7b](https://hf.co/facebook/opt-6.7b) finetuned with low-rank adapters (https://arxiv.org/abs/2106.09685) on the FLAN datasets (https://arxiv.org/pdf/2210.11416.pdf).
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+
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+ Low-rank adapters (r=8) finetuned over 1.6m new tokens of a FLAN task mixture, with the start of each example cut off if it was too large to fit within a 256 token context.
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+
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+ The model reaches a train ppl of 4.36 and an eval ppl of 4.32.
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+
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+ ### Example COT (Chain-of-thought) Prompt:
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+
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+ ```
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+ Q: Answer the following yes/no question by reasoning step-by-step. Could a dandelion suffer from hepatitis?
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+ A: Hepatitis only affects organisms with livers. Dandelions don’t have a liver. The answer is no.
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+
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+ Q: Answer the following yes/no question by reasoning step-by-step. Can you write a whole Haiku in a single tweet?
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+ A: A haiku is a japanese three-line poem. That is short enough to fit in 280 characters. The answer is yes.
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+
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+ Q: Answer the following yes/no question by reasoning step-by-step. Can you reach space with a Cessna?
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+ A:
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+ ```
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+ ```
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+ > A Cessna is a small plane. A small plane can't get into space. The answer is no.
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+ ```