python run_image_classification.py \
    --train_dir /trunk/shared/eebo_data/images_cropped/ \
    --validation_dir /trunk/shared/eebo_data/images_cropped/ \
    --output_dir ./microsoft_beit-base-patch16-224-pt22k-ft22k/ \
    --remove_unused_columns False \
    --label_column_name labels \
    --do_train \
    --do_eval \
    --push_to_hub \
    --push_to_hub_model_id donut-base-beans \
    --learning_rate 3e-5 \
    --num_train_epochs 10 \
    --per_device_train_batch_size 64 \
    --per_device_eval_batch_size 64 \
    --logging_strategy steps \
    --logging_steps 10 \
    --eval_strategy epoch \
    --save_strategy epoch \
    --load_best_model_at_end True \
    --save_total_limit 5 \
    --seed 1337 \
    --ignore_mismatched_sizes \
    --image_column_name image_url \
    --label_column_name label \
    --model_name_or_path microsoft/beit-base-patch16-224-pt22k-ft22k \
    --resume_from_checkpoint /trunk2/yufei/summer24/transformers/examples/pytorch/image-classification/microsoft_beit-base-patch16-224-pt22k-ft22k/checkpoint-33670