evaluation/eval_coco_retrieval.py [118:168]:
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        type=int,
        help="Total number of training epochs to perform.",
    )
    parser.add_argument(
        "--warmup_proportion",
        default=0.01,
        type=float,
        help="Proportion of training to perform linear learning rate warmup for. "
        "E.g., 0.1 = 10%% of training.",
    )
    parser.add_argument(
        "--no_cuda", action="store_true", help="Whether not to use CUDA when available"
    )
    parser.add_argument(
        "--do_lower_case",
        default=True,
        type=bool,
        help="Whether to lower case the input text. True for uncased models, False for cased models.",
    )
    parser.add_argument(
        "--local_rank",
        type=int,
        default=-1,
        help="local_rank for distributed training on gpus",
    )

    parser.add_argument(
        "--seed", type=int, default=42, help="random seed for initialization"
    )
    parser.add_argument(
        "--gradient_accumulation_steps",
        type=int,
        default=1,
        help="Number of updates steps to accumualte before performing a backward/update pass.",
    )
    parser.add_argument(
        "--fp16",
        action="store_true",
        help="Whether to use 16-bit float precision instead of 32-bit",
    )
    parser.add_argument(
        "--loss_scale",
        type=float,
        default=0,
        help="Loss scaling to improve fp16 numeric stability. Only used when fp16 set to True.\n"
        "0 (default value): dynamic loss scaling.\n"
        "Positive power of 2: static loss scaling value.\n",
    )
    parser.add_argument(
        "--num_workers",
        type=int,
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evaluation/eval_vqa.py [116:166]:
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        type=int,
        help="Total number of training epochs to perform.",
    )
    parser.add_argument(
        "--warmup_proportion",
        default=0.01,
        type=float,
        help="Proportion of training to perform linear learning rate warmup for. "
        "E.g., 0.1 = 10%% of training.",
    )
    parser.add_argument(
        "--no_cuda", action="store_true", help="Whether not to use CUDA when available"
    )
    parser.add_argument(
        "--do_lower_case",
        default=True,
        type=bool,
        help="Whether to lower case the input text. True for uncased models, False for cased models.",
    )
    parser.add_argument(
        "--local_rank",
        type=int,
        default=-1,
        help="local_rank for distributed training on gpus",
    )

    parser.add_argument(
        "--seed", type=int, default=42, help="random seed for initialization"
    )
    parser.add_argument(
        "--gradient_accumulation_steps",
        type=int,
        default=1,
        help="Number of updates steps to accumualte before performing a backward/update pass.",
    )
    parser.add_argument(
        "--fp16",
        action="store_true",
        help="Whether to use 16-bit float precision instead of 32-bit",
    )
    parser.add_argument(
        "--loss_scale",
        type=float,
        default=0,
        help="Loss scaling to improve fp16 numeric stability. Only used when fp16 set to True.\n"
        "0 (default value): dynamic loss scaling.\n"
        "Positive power of 2: static loss scaling value.\n",
    )
    parser.add_argument(
        "--num_workers",
        type=int,
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