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Typo in the FT command

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Piotr Nawrot 2023-04-03 14:14:22 +01:00 committed by GitHub
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README.md
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@ -137,7 +137,7 @@ git clone https://github.com/allenai/natural-instructions.git data
We strictly follow the fine-tuning [config](nanoT5/configs/task/ft.yaml) of Tk-Instruct. It remains unclear whether Tk-Instruct was initialised from a regular checkpoint (*google/t5-v1_1-base*) or the one adapted explicitly for Language Modelling with continued training (*google/t5-base-lm-adapt*). Therefore, we decided to evaluate both. Run the following command to reproduce the Tk-Instruct experiments: We strictly follow the fine-tuning [config](nanoT5/configs/task/ft.yaml) of Tk-Instruct. It remains unclear whether Tk-Instruct was initialised from a regular checkpoint (*google/t5-v1_1-base*) or the one adapted explicitly for Language Modelling with continued training (*google/t5-base-lm-adapt*). Therefore, we decided to evaluate both. Run the following command to reproduce the Tk-Instruct experiments:
``` ```
python -m adaptive.moe task=ft \ python -m nanoT5.main task=ft \
model.name={google/t5-v1_1-base,google/t5-base-lm-adapt} \ model.name={google/t5-v1_1-base,google/t5-base-lm-adapt} \
model.random_init={true,false} \ model.random_init={true,false} \
model.checkpoint_path={"","/path/to/pytorch_model.bin"} model.checkpoint_path={"","/path/to/pytorch_model.bin"}