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* Reorganize example folder * Continue reorganization * Change requirements for tests * Final cleanup * Finish regroup with tests all passing * Copyright * Requirements and readme * Make a full link for the documentation * Address review comments * Apply suggestions from code review Co-authored-by: Lysandre Debut <lysandre@huggingface.co> * Add symlink * Reorg again * Apply suggestions from code review Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com> * Adapt title * Update to new strucutre * Remove test * Update READMEs Co-authored-by: Lysandre Debut <lysandre@huggingface.co> Co-authored-by: Thomas Wolf <thomwolf@users.noreply.github.com>
12 lines
342 B
Bash
Executable File
12 lines
342 B
Bash
Executable File
# the proper usage is documented in the README, you need to specify data_dir, output_dir and model_name_or_path
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# run ./finetune.sh --help to see all the possible options
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python finetune.py \
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--learning_rate=3e-5 \
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--fp16 \
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--gpus 1 \
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--do_train \
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--do_predict \
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--n_val 1000 \
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--val_check_interval 0.1 \
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"$@"
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