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#!/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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