| python3 run_clm_flax.py \ | |
| --output_dir="./" \ | |
| --model_type="gpt2" \ | |
| --config_name="./" \ | |
| --tokenizer_name="./" \ | |
| --dataset_language="su" \ | |
| --do_train \ | |
| --do_eval \ | |
| --block_size="512" \ | |
| --preprocessing_num_workers="64" \ | |
| --weight_decay="0.0" \ | |
| --per_device_train_batch_size="64" \ | |
| --per_device_eval_batch_size="64" \ | |
| --learning_rate="2e-4" \ | |
| --warmup_steps="1000" \ | |
| --overwrite_output_dir \ | |
| --num_train_epochs="50" \ | |
| --adam_beta1="0.9" \ | |
| --adam_beta2="0.999" \ | |
| --adam_epsilon="1e-8" \ | |
| --push_to_hub | |