mirror of
https://github.com/NVIDIA/dgx-spark-playbooks.git
synced 2026-06-21 21:59:30 +00:00
54 lines
1.2 KiB
Python
54 lines
1.2 KiB
Python
# Copyright (c) 2024 westlake-repl
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# Copyright (c) 2024 Bytedance Ltd. and/or its affiliate
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# SPDX-License-Identifier: MIT
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# This file has been modified by Junyi Chen.
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#
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# Original file was released under MIT, with the full license text
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# available at https://choosealicense.com/licenses/mit/.
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#
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# This modified file is released under the same license.
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general_arguments = [
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'seed',
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'reproducibility',
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'state',
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'model',
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'data_path',
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'train_path',
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'checkpoint_dir',
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'show_progress',
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'config_file',
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'log_wandb',
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'use_text',
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'strategy',
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'precision'
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]
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training_arguments = [
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'epochs', 'train_batch_size',
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'optim_args',
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'eval_step', 'stopping_step',
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'clip_grad_norm',
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'loss_decimal_place',
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'gradient_accumulation_steps',
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]
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evaluation_arguments = [
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'eval_type',
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'repeatable',
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'metrics', 'topk', 'valid_metric', 'valid_metric_bigger',
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'eval_batch_size',
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'metric_decimal_place',
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]
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dataset_arguments = [
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'MAX_TEXT_LENGTH',
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'MAX_ITEM_LIST_LENGTH',
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'MAX_ITEM_LIST_LENGTH_TEST',
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'MAX_GEN_TEXT_LENGTH',
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'MAX_USER_PROFILE_TEXT_LENGTH',
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'num_negatives',
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'text_keys',
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'item_prompt',
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]
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