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#!/usr/bin/env bash |
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python3 run_clm_flax.py \ |
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--output_dir="./" \ |
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--model_type="gpt2" \ |
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--config_name="./" \ |
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--tokenizer_name="./" \ |
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--dataset_name="oscar" \ |
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--dataset_config_name="unshuffled_deduplicated_th" \ |
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--do_train \ |
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--do_eval \ |
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--block_size="512" \ |
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--preprocessing_num_workers="64" \ |
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--weight_decay="0.01" \ |
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--per_device_train_batch_size="64" \ |
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--per_device_eval_batch_size="64" \ |
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--learning_rate="5e-3" \ |
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--warmup_steps="1000" \ |
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--overwrite_output_dir \ |
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--num_train_epochs="3" \ |
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--adam_beta1="0.9" \ |
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--adam_beta2="0.999" \ |
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--adam_epsilon="1e-8" \ |
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--push_to_hub |
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