| # Copyright (c) 2024, EleutherAI | |
| # This file is based on code by the authors denoted below and has been modified from its original version. | |
| # | |
| # Copyright (c) 2024, NVIDIA CORPORATION. All rights reserved. | |
| # | |
| # Licensed under the Apache License, Version 2.0 (the "License"); | |
| # you may not use this file except in compliance with the License. | |
| # You may obtain a copy of the License at | |
| # | |
| # http://www.apache.org/licenses/LICENSE-2.0 | |
| # | |
| # Unless required by applicable law or agreed to in writing, software | |
| # distributed under the License is distributed on an "AS IS" BASIS, | |
| # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | |
| # See the License for the specific language governing permissions and | |
| # limitations under the License. | |
| """Train""" | |
| from megatron.neox_arguments import NeoXArgs | |
| from megatron.training import pretrain | |
| def main(input_args=None, overwrite_values=None): | |
| neox_args = NeoXArgs.consume_neox_args( | |
| input_args=input_args, overwrite_values=overwrite_values | |
| ) | |
| neox_args.configure_distributed_args() | |
| neox_args.build_tokenizer() # tokenizer needs to be build in training in order to set the padding vocab | |
| neox_args.initialize_tensorboard_writer() # is initialized if tensorboard directory is defined | |
| neox_args.initialize_comet() # is initialized if comet directory is defined | |
| pretrain(neox_args=neox_args) | |
| if __name__ == "__main__": | |
| main() | |