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#!/bin/bash
#cd ../..
# custom config
DATA="/path/to/dataset/folder"
TRAINER=CoCoOp
DATASET=$1
SEED=$2
CFG=vit_b16_c4_ep10_batch1_ctxv1
SHOTS=16
DIR=output/evaluation/${TRAINER}/${CFG}_${SHOTS}shots/${DATASET}/seed${SEED}
if [ -d "$DIR" ]; then
echo "Results are available in ${DIR}. Skip this job"
else
echo "Run this job and save the output to ${DIR}"
python train.py \
--root ${DATA} \
--seed ${SEED} \
--trainer ${TRAINER} \
--dataset-config-file configs/datasets/${DATASET}.yaml \
--config-file configs/trainers/${TRAINER}/${CFG}.yaml \
--output-dir ${DIR} \
--model-dir output/imagenet/${TRAINER}/${CFG}_${SHOTS}shots/seed${SEED} \
--load-epoch 10 \
--eval-only
fi |