Spaces:
Runtime error
Runtime error
File size: 1,593 Bytes
f239efc |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 |
echo "PYTHONPATH: ${PYTHONPATH}"
which_python=$(which python)
echo "which python: ${which_python}"
export PYTHONPATH=${PYTHONPATH}:${which_python}
export PYTHONPATH=${PYTHONPATH}:.
echo "PYTHONPATH: ${PYTHONPATH}"
OUTPUT_DIR=./pllava_video_outputs/test_train_7b_reconstruct
pooling_shape=(16,12,12)
num_save_samples=80000
num_gpus=8
full_batch_size=128
batch_size=8
save_steps=$[$num_save_samples/($batch_size*$num_gpus)]
ckpt_steps=$[$save_steps/10]
gradient_accumulation_steps=$[$full_batch_size/($batch_size*$num_gpus)]
echo $batch_size
echo $gradient_accumulation_steps
repo_id=llava-hf/llava-v1.6-vicuna-7b-hf
accelerate launch --main_process_port 6876 --config_file scripts/accel_config_multigpu.yaml tasks/train/train_pllava_nframe_accel.py \
tasks/train/config_pllava_nframe.py \
output_dir ${OUTPUT_DIR} \
train_corpus videochat2_instruction_debug \
save_steps $save_steps \
ckpt_steps $ckpt_steps \
num_workers 8 \
num_frames 16 \
gradient_accumulation_steps $gradient_accumulation_steps \
batch_size $batch_size \
model.pooling_method avg \
model.use_lora True \
model.use_pooling True \
model.repo_id $repo_id \
gradient_checkpointing True \
preprocess.center_pad False \
preprocess.clip_transform False \
optimizer.lr 2e-5 \
scheduler.epochs 3 \
scheduler.warmup_ratio 0.2 \
scheduler.min_lr_multi 0.25 \
model.pooling_shape $pooling_shape \
scheduler.is_videochat2_custom True \
preprocess.mm_alone False \
preprocess.random_shuffle False \
preprocess.add_second_msg False
|