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python run_hybrid_clip.py \
--output_dir "./output_141230_training_examples" \
--text_model_name_or_path="dccuchile/bert-base-spanish-wwm-cased" \
--vision_model_name_or_path="openai/clip-vit-base-patch32" \
--tokenizer_name="dccuchile/bert-base-spanish-wwm-cased" \
--train_file="/home/${USER}/data/wit_scale_converted/train_dataset_scale_converted_98_1_1_split.json" \
--validation_file="/home/${USER}/data/wit_scale_converted/valid_dataset_scale_converted_98_1_1_split.json" \
--do_train \
--do_eval \
--num_train_epochs="40" \
--max_seq_length 96 \
--per_device_train_batch_size="64" \
--per_device_eval_batch_size="64" \
--learning_rate="5e-5" --warmup_steps="0" --weight_decay 0.1 \
--overwrite_output_dir \
--preprocessing_num_workers 32
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