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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>
18 lines
630 B
Bash
Executable File
18 lines
630 B
Bash
Executable File
#!/usr/bin/env bash
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export PYTHONPATH="../":"${PYTHONPATH}"
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export WANDB_PROJECT=dmar
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export MAX_LEN=128
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export m=sshleifer/student_marian_en_ro_6_1
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python finetune.py \
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--learning_rate=3e-4 \
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--do_train \
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--fp16 \
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--data_dir wmt_en_ro \
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--max_source_length $MAX_LEN --max_target_length $MAX_LEN --val_max_target_length $MAX_LEN --test_max_target_length $MAX_LEN \
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--freeze_encoder --freeze_embeds \
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--train_batch_size=48 --eval_batch_size=64 \
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--tokenizer_name $m --model_name_or_path $m --num_train_epochs=1 \
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--warmup_steps 500 --logger_name wandb --gpus 1 \
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--fp16_opt_level=O1 --task translation \
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"$@"
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