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python api + remove generate_multi_lora + rename config path + test eval scripts
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27 changed files with 345 additions and 233 deletions
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@ -2,7 +2,7 @@
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1
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# w/ truncation
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1 --truncate_if_too_long_inp
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1 --truncate_if_too_long_inp
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# no context
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1 --remove_context
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8
scripts/main_exp/eval/base_model_test.sh
Executable file
8
scripts/main_exp/eval/base_model_test.sh
Executable file
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# no truncation
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1 --max_test_samples_per_ds 10
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# w/ truncation
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1 --truncate_if_too_long_inp --max_test_samples_per_ds 10
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# no context
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen 1 --remove_context --max_test_samples_per_ds 10
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@ -1,6 +1,6 @@
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# qa
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --cd_use_gen_q --q_gen_rounds=4
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --cd_use_gen_q --q_gen_rounds=4
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# longbench
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/multifieldqa_en_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --cd_use_gen_q --q_gen_rounds=1
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/multifieldqa_en_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --cd_use_gen_q --q_gen_rounds=1
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# qa
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp
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# longbench
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/multifieldqa_en_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/multifieldqa_en_e longbench/2wikimqa_e longbench/qasper_e --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp
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6
scripts/main_exp/eval/cd_oracle_test.sh
Executable file
6
scripts/main_exp/eval/cd_oracle_test.sh
Executable file
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# qa
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --max_test_samples_per_ds 10
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# longbench
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/multifieldqa_en_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --max_test_samples_per_ds 10
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scripts/main_exp/eval/cd_test.sh
Executable file
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scripts/main_exp/eval/cd_test.sh
Executable file
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# qa
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --cd_use_gen_q --q_gen_rounds=4 --max_test_samples_per_ds 10
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# longbench
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uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets longbench/multifieldqa_en_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --use_cd --cd_update_iterations 300 --eval_batch_size_gen=1 --truncate_if_too_long_inp --cd_use_gen_q --q_gen_rounds=1 --max_test_samples_per_ds 10
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@ -1,13 +1,13 @@
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# main results
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# batched
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/pytorch_model.bin --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --max_ctx_chunk_len 8192 --eval_batch_size_gen 1
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/checkpoint-$step/pytorch_model.bin --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --max_ctx_chunk_len 8192 --eval_batch_size_gen 1
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# iterative
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/pytorch_model.bin --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --max_ctx_chunk_len 8192 --eval_batch_size_gen 1 --use_iterative_mode
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/checkpoint-$step/pytorch_model.bin --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --max_ctx_chunk_len 8192 --eval_batch_size_gen 1 --use_iterative_mode
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# query internalization
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/pytorch_model.bin --datasets squad --split test --eval_batch_size_gen=1 --flip_ctx_inp
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/checkpoint-$step/pytorch_model.bin --datasets squad --split test --eval_batch_size_gen=1 --flip_ctx_inp
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# replaced squad context
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WANDB_MODE=disabled uv run python run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/pytorch_model.bin --datasets squad_assistant_ctx_no_passage --split test
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WANDB_MODE=disabled uv run python run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/pytorch_model.bin --datasets squad_negative_no_passage --split test
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WANDB_MODE=disabled uv run python run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/checkpoint-$step/pytorch_model.bin --datasets squad_assistant_ctx_no_passage --split test
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WANDB_MODE=disabled uv run python run_eval.py --checkpoint_path train_outputs/runs/$RUN_NAME/checkpoint-$step/pytorch_model.bin --datasets squad_negative_no_passage --split test
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scripts/main_exp/eval/d2l_test.sh
Executable file
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scripts/main_exp/eval/d2l_test.sh
Executable file
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# main results
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# batched
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path ../../ctx-to-lora/train_outputs/runs/Sep29_14-42-46_slurm0-a3nodeset-9_88483_1e7bb34e/checkpoint-40000/pytorch_model.bin --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --max_ctx_chunk_len 8192 --eval_batch_size_gen 1 --max_test_samples_per_ds 10
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# iterative
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path ../../ctx-to-lora/train_outputs/runs/Sep29_14-42-46_slurm0-a3nodeset-9_88483_1e7bb34e/checkpoint-40000/pytorch_model.bin --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --max_ctx_chunk_len 8192 --eval_batch_size_gen 1 --use_iterative_mode --max_test_samples_per_ds 10
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# query internalization
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WANDB_MODE=disabled uv run run_eval.py --checkpoint_path ../../ctx-to-lora/train_outputs/runs/Sep29_14-42-46_slurm0-a3nodeset-9_88483_1e7bb34e/checkpoint-40000/pytorch_model.bin --datasets squad --split test --eval_batch_size_gen=1 --flip_ctx_inp --max_test_samples_per_ds 10
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# replaced squad context
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WANDB_MODE=disabled uv run python run_eval.py --checkpoint_path ../../ctx-to-lora/train_outputs/runs/Sep29_14-42-46_slurm0-a3nodeset-9_88483_1e7bb34e/checkpoint-40000/pytorch_model.bin --datasets squad_assistant_ctx_no_passage --split test --max_test_samples_per_ds 10
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WANDB_MODE=disabled uv run python run_eval.py --checkpoint_path ../../ctx-to-lora/train_outputs/runs/Sep29_14-42-46_slurm0-a3nodeset-9_88483_1e7bb34e/checkpoint-40000/pytorch_model.bin --datasets squad_negative_no_passage --split test --max_test_samples_per_ds 10
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scripts/main_exp/eval/llmlingua_test.sh
Executable file
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scripts/main_exp/eval/llmlingua_test.sh
Executable file
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for dataset in squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e; do
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for rate in 0.9 0.8 0.6 0.4 0.2 0.1; do
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets "$dataset" --split test --eval_batch_size_gen=1 --use_llmlingua --llmlingua_compression_rate "$rate" --truncate_if_too_long_ctx --max_test_samples_per_ds 10
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done
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done
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scripts/main_exp/eval/t2l_test.sh
Executable file
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scripts/main_exp/eval/t2l_test.sh
Executable file
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# download t2l checkpoint
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uv run huggingface-cli download SakanaAI/text-to-lora --local-dir . --include "trained_t2l/gemma_2b_t2l"
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WANDB_MODE=disabled uv run run_eval.py --model_name_or_path google/gemma-2-2b-it --datasets squad drop ropes longbench/qasper_e longbench/2wikimqa_e longbench/multifieldqa_en_e --split test --eval_batch_size_gen=1 --use_t2l --max_test_samples_per_ds 10
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