run_arguments.json

{
    "model_name_or_path": "bert-large-uncased",
    "task_name": "hatexplain",
    "output_dir": "./output/bert-large/hatexplain/0001/SEED0042/",
    "learning_rate": 5e-05,
    "num_train_epochs": 3,
    "per_device_eval_batch_size": 1,
    "per_device_train_batch_size": 1,
    "gradient_accumulation_steps": 32,
    "seed": 42,
    "warmup_steps": 150,
    "do_train": true,
    "do_eval": true,
    "do_predict": false,
    "pad_to_max_length": false,
    "max_seq_length": 128,
    "report_to": [],
    "save_strategy": "epoch",
    "evaluation_strategy": "epoch",
    "logging_steps": 2500,
    "use_fast_tokenizer": true,
    "group_by_length": true,
    "save_training_dynamics": true,
    "save_training_dynamics_after_epoch": true
}