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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>
25 lines
649 B
Bash
Executable File
25 lines
649 B
Bash
Executable File
#!/usr/bin/env bash
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export PYTHONPATH="../":"${PYTHONPATH}"
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export BS=32
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export GAS=1
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python finetune.py \
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--learning_rate=3e-5 \
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--fp16 \
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--gpus 1 \
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--do_train \
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--do_predict \
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--val_check_interval 0.25 \
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--n_val 500 \
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--num_train_epochs 2 \
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--freeze_encoder --freeze_embeds --data_dir cnn_dm \
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--max_target_length 142 --val_max_target_length=142 \
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--train_batch_size=$BS --eval_batch_size=$BS --gradient_accumulation_steps=$GAS \
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--model_name_or_path sshleifer/student_cnn_12_6 \
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--tokenizer_name facebook/bart-large \
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--warmup_steps 500 \
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--output_dir distilbart-cnn-12-6 \
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"$@"
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