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