| CACHE_DIR="path/to/pretrained/weight" | |
| ANNOTATION="path/to/data" | |
| # this script is for 1024 total batch_size (n(8) GPUs * batch_size(128) * accum_freq(1)) | |
| cd /path/to/LanguageBind | |
| TORCH_DISTRIBUTED_DEBUG=DETAIL HF_DATASETS_OFFLINE=1 TRANSFORMERS_OFFLINE=1 torchrun --nnodes=$HOST_NUM --node_rank=$INDEX --nproc_per_node $HOST_GPU_NUM --master_addr $CHIEF_IP \ | |
| -m main \ | |
| --train-data ${ANNOTATION} \ | |
| --train-num-samples 3020000 \ | |
| --clip-type "dl" --max-depth 10 \ | |
| --do_train \ | |
| --lock-text --lock-image --text-type "polish_mplug" \ | |
| --init-temp 0.07 --learn-temp \ | |
| --model "ViT-L-14" --cache-dir ${CACHE_DIR} \ | |
| --convert_to_lora --lora_r 2 \ | |
| --lr 5e-4 --coef-lr 1e-3 \ | |
| --beta1 0.9 --beta2 0.98 --wd 0.2 --eps 1e-6 \ | |
| --num-frames 1 --force-patch-dropout 0.5 \ | |
| --epochs 1 --batch-size 128 --accum-freq 1 --warmup 200 \ | |
| --precision "amp" --workers 10 --video-decode-backend "imgs" \ | |
| --save-frequency 1 --log-every-n-steps 20 --report-to "tensorboard" --resume "latest" \ | |
| --do_eval \ | |
| --val_d_cls_data "NYUV2" | |