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export MODEL_DIR=`pwd` |
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export WANDB_ENTITY="cahya" |
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export WANDB_PROJECT="gpt2-indonesian" |
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export WANDB_LOG_MODEL="true" |
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./run_clm_flax.py \ |
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--model_name_or_path="./flax_model.msgpack" \ |
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--output_dir="${MODEL_DIR}/finetuning2" \ |
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--model_type="gpt2" \ |
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--config_name="${MODEL_DIR}" \ |
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--tokenizer_name="${MODEL_DIR}" \ |
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--dataset_name="./text_collection" \ |
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--dataset_config_name="text_collection" \ |
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--dataset_data_dir="/dataset/fiction/story_all" \ |
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--do_train --do_eval \ |
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--block_size="512" \ |
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--per_device_train_batch_size="8" \ |
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--per_device_eval_batch_size="8" \ |
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--learning_rate="0.0000001" --warmup_steps="1000" \ |
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--adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \ |
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--overwrite_output_dir \ |
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--num_train_epochs="20" \ |
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--dataloader_num_workers="64" \ |
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--preprocessing_num_workers="64" \ |
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--logging_steps="1000" \ |
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--save_steps="1000" \ |
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--eval_steps="1000" \ |
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--validation_split_percentage="10" \ |
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--push_to_hub="false" |
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