Comments (5)
Hi, thank you for reporting the issue. The (IA)^3 implemented in this project is based on T5 1.1 models. The specific backbone model we utilized is T0, which is a multitask trained T5 1.1 LM adapted model. You can find T5 1.1 models on Hugging Face under the name google/t5_v_1_base
. There are differences in architecture and pretraining data between T5 and T5 1.1 models. As a result, the configuration includes wi_1
for feedforward layers, whereas T5 has w_i
. If you plan to use (IA)^3 for T5 models, you can modify the config accordingly.
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how can this json be written for the case of falcon-7b?
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Hi @dionman, from the way I understand it, the current
As of this writing, HuggingFace's PEFT has integrated
Also, @muqeeth, do check out the current PEFT implementation!
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Thanks @SumanthRH. Is this also handling the altered loss function and the normalization proposed in the T-Few recipe?
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No it does not! PEFT only implements
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