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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>
34 lines
1.0 KiB
Bash
Executable File
34 lines
1.0 KiB
Bash
Executable File
# Add parent directory to python path to access lightning_base.py
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export PYTHONPATH="../":"${PYTHONPATH}"
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# A sample finetuning run, you need to specify data_dir, output_dir and model_name_or_path
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# run ./examples/rag/finetune.sh --help to see all the possible options
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python examples/rag/finetune_rag.py \
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--data_dir $DATA_DIR \
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--output_dir $OUTPUT_DIR \
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--model_name_or_path $MODEL_NAME_OR_PATH \
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--model_type rag_sequence \
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--fp16 \
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--gpus 8 \
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--do_train \
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--do_predict \
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--n_val -1 \
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--val_check_interval 0.25 \
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--train_batch_size 8 \
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--eval_batch_size 1 \
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--max_source_length 128 \
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--max_target_length 25 \
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--val_max_target_length 25 \
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--test_max_target_length 25 \
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--label_smoothing 0.1 \
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--dropout 0.1 \
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--attention_dropout 0.1 \
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--weight_decay 0.001 \
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--adam_epsilon 1e-08 \
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--max_grad_norm 0.1 \
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--lr_scheduler polynomial \
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--learning_rate 3e-05 \
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--num_train_epochs 100 \
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--warmup_steps 500 \
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--gradient_accumulation_steps 1 |