mirror of
https://github.com/huggingface/transformers.git
synced 2025-07-04 13:20:12 +06:00
a4b21cdd20
* wip * wip * wip * wip * wip * wip * wip * wip * uncomment * uncomment * wip * updates * add docstring * updates * fix arg * fixes * add unit tests * update readme * update readme * update finetune script * update test * add test * add ray to test dependencies * separate ray and ray tune * formatting * shutdown ray at end of test * fix tests * formatting * formatting * even more formatting * address comments * formatting * add files * Update examples/research_projects/rag/test_distributed_retriever.py Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com> * address comments * addressing comments Co-authored-by: Ubuntu <ubuntu@ip-172-31-21-208.us-west-2.compute.internal> Co-authored-by: Sylvain Gugger <35901082+sgugger@users.noreply.github.com>
45 lines
1.2 KiB
Bash
Executable File
45 lines
1.2 KiB
Bash
Executable File
# Sample script to finetune RAG using Ray for distributed retrieval.
|
|
|
|
# Add parent directory to python path to access lightning_base.py
|
|
export PYTHONPATH="../":"${PYTHONPATH}"
|
|
|
|
# Start a single-node Ray cluster.
|
|
ray start --head
|
|
|
|
# A sample finetuning run, you need to specify data_dir, output_dir and model_name_or_path
|
|
# run ./examples/rag/finetune_rag_ray.sh --help to see all the possible options
|
|
|
|
python examples/rag/finetune_rag.py \
|
|
--data_dir $DATA_DIR \
|
|
--output_dir $OUTPUT_DIR \
|
|
--model_name_or_path $MODEL_NAME_OR_PATH \
|
|
--model_type rag_sequence \
|
|
--fp16 \
|
|
--gpus 8 \
|
|
--profile \
|
|
--do_train \
|
|
--do_predict \
|
|
--n_val -1 \
|
|
--train_batch_size 8 \
|
|
--eval_batch_size 1 \
|
|
--max_source_length 128 \
|
|
--max_target_length 25 \
|
|
--val_max_target_length 25 \
|
|
--test_max_target_length 25 \
|
|
--label_smoothing 0.1 \
|
|
--dropout 0.1 \
|
|
--attention_dropout 0.1 \
|
|
--weight_decay 0.001 \
|
|
--adam_epsilon 1e-08 \
|
|
--max_grad_norm 0.1 \
|
|
--lr_scheduler polynomial \
|
|
--learning_rate 3e-05 \
|
|
--num_train_epochs 100 \
|
|
--warmup_steps 500 \
|
|
--gradient_accumulation_steps 1 \
|
|
--distributed_retriever ray \
|
|
--num_retrieval_workers 4
|
|
|
|
# Stop the Ray cluster.
|
|
ray stop
|