{ | |
"os": "Linux-3.10.0-1160.36.2.el7.x86_64-x86_64-with-centos-7.9.2009-Core", | |
"python": "3.6.8", | |
"heartbeatAt": "2021-09-16T16:37:37.210532", | |
"startedAt": "2021-09-16T16:37:34.459250", | |
"docker": null, | |
"gpu": "Tesla V100-SXM2-16GB", | |
"gpu_count": 1, | |
"cpu_count": 8, | |
"cuda": null, | |
"args": [ | |
"--data_dir", | |
"./datasets/EpiCustomV3/", | |
"--labels", | |
"./datasets/EpiCustomV3/labels.txt", | |
"--model_name_or_path", | |
"dmis-lab/biobert-base-cased-v1.1", | |
"--learning_rate", | |
"5e-5", | |
"--weight_decay", | |
"0.05", | |
"--adam_epsilon", | |
"1e-8", | |
"--output_dir", | |
"./resultsV3.2", | |
"--max_seq_length", | |
"192", | |
"--num_train_epochs", | |
"30", | |
"--per_device_train_batch_size", | |
"16", | |
"--save_steps", | |
"2500", | |
"--seed", | |
"1", | |
"--do_train", | |
"--do_eval", | |
"--do_predict", | |
"--overwrite_output_dir" | |
], | |
"state": "running", | |
"program": "run_ner.py", | |
"codePath": "run_ner.py", | |
"host": "ordr-neo4j-dev-ec2-04", | |
"username": "wzkariampuzha", | |
"executable": "/usr/bin/python3" | |
} | |