| python run_clm_flax.py \ | |
| --output_dir="./" \ | |
| --model_type="gpt2" \ | |
| --model_name_or_path="." \ | |
| --config_name="./" \ | |
| --tokenizer_name="./" \ | |
| --train_file="/mnt/disks/flaxdisk/vgd/vgd_train.json" \ | |
| --validation_file="/mnt/disks/flaxdisk/vgd/vgd_eval.json" \ | |
| --cache_dir="/mnt/disks/flaxdisk/cache/" \ | |
| --do_train --do_eval \ | |
| --block_size="512" \ | |
| --per_device_train_batch_size="8" \ | |
| --per_device_eval_batch_size="8" \ | |
| --learning_rate="4e-5" \ | |
| --warmup_steps="1000" \ | |
| --adam_beta1="0.9" --adam_beta2="0.98" --weight_decay="0.01" \ | |
| --overwrite_output_dir \ | |
| --num_train_epochs="10" \ | |
| --logging_steps="500" \ | |
| --save_steps="1000" \ | |
| --eval_steps="1000" \ | |
| --push_to_hub | |