ptune-FLAN-OPT-6.7b
OPT was first introduced in Open Pre-trained Transformer Language Models and first released in metaseq's repository on May 3rd 2022 by Meta AI.
This model is facebook/opt-6.7b finetuned with prefix tuning (https://arxiv.org/abs/2101.00190) on the FLAN datasets (https://arxiv.org/pdf/2210.11416.pdf).
A 24 token prefix was finetuned over 1.5m 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.
The model reaches a train ppl of 6.09 and an eval ppl of 5.91.
Example COT (Chain-of-thought) Prompt:
Q: Answer the following yes/no question by reasoning step-by-step. Could a dandelion suffer from hepatitis?
A: Hepatitis only affects organisms with livers. Dandelions don’t have a liver. The answer is no.
Q: Answer the following yes/no question by reasoning step-by-step. Can you write a whole Haiku in a single tweet?
A: A haiku is a japanese three-line poem. That is short enough to fit in 280 characters. The answer is yes.
Q: Answer the following yes/no question by reasoning step-by-step. Can you reach space with a Cessna?
A:
> A Cessna is a small plane that can carry up to 6 people. The answer is no.
(Completed with Contrastive Sampling, top_k: 4, penalty_alpha: 0.6)
- Downloads last month
- 2
Unable to determine this model’s pipeline type. Check the
docs
.