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I have the same problem. This is my result:
BELU: 0.6885
NIST: 8.68
METEOR: 0.4638
ROUGE_L: 0.7139
CIDEr: 2.5079
I reproduce it with A100-40g, following exactly the same process as in readme.
Getting this result
For these Hyperprams:
https://github.com/microsoft/LoRA/tree/main/examples/NLG#replicating-our-result-on-e2e
What were the hyperparameters for results in the paper:
https://github.com/microsoft/LoRA/tree/main/examples/NLG#adapting-gpt-2-using-lora
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