| python script/run_model.py \ | |
| --do_train \ | |
| --train_path "data/train/semcor-max_num_gloss=6-augmented.csv" \ | |
| --evaluate_during_training \ | |
| --eval_path "data/dev/semeval2007.csv" \ | |
| --model_name_or_path "bert-base-uncased" \ | |
| --output_dir "model/bert_base-augmented-batch_size=128-lr=2e-5-max_gloss=6" \ | |
| --save_steps "1000" \ | |
| --logging_steps "1000" \ | |
| --num_train_epochs "4" \ | |
| --per_gpu_train_batch_size "8" \ | |
| --gradient_accumulation_steps "16" \ | |
| --learning_rate "2e-5" |