删除多余的图像文件并调整训练脚本中的批量大小
|
Before Width: | Height: | Size: 136 KiB |
|
Before Width: | Height: | Size: 73 KiB |
|
Before Width: | Height: | Size: 230 KiB |
|
Before Width: | Height: | Size: 104 KiB |
|
Before Width: | Height: | Size: 239 KiB |
|
Before Width: | Height: | Size: 121 KiB |
|
Before Width: | Height: | Size: 372 KiB |
|
Before Width: | Height: | Size: 178 KiB |
|
Before Width: | Height: | Size: 150 KiB |
|
Before Width: | Height: | Size: 519 KiB |
|
Before Width: | Height: | Size: 146 KiB |
|
Before Width: | Height: | Size: 66 KiB |
BIN
images/logo.png
|
Before Width: | Height: | Size: 495 KiB |
BIN
images/logo2.png
|
Before Width: | Height: | Size: 615 KiB |
|
Before Width: | Height: | Size: 3.8 MiB |
|
Before Width: | Height: | Size: 559 KiB |
|
Before Width: | Height: | Size: 531 KiB |
|
Before Width: | Height: | Size: 1006 KiB |
|
Before Width: | Height: | Size: 943 KiB |
|
|
@ -119,7 +119,7 @@ if __name__ == "__main__":
|
||||||
parser.add_argument("--out_dir", type=str, default="../out")
|
parser.add_argument("--out_dir", type=str, default="../out")
|
||||||
# 若要以最快速度实现zero则epochs设置为1轮;否则应当利用有限的数据训练2~6个epochs。
|
# 若要以最快速度实现zero则epochs设置为1轮;否则应当利用有限的数据训练2~6个epochs。
|
||||||
parser.add_argument("--epochs", type=int, default=1)
|
parser.add_argument("--epochs", type=int, default=1)
|
||||||
parser.add_argument("--batch_size", type=int, default=32)
|
parser.add_argument("--batch_size", type=int, default=16)
|
||||||
parser.add_argument("--learning_rate", type=float, default=5e-4)
|
parser.add_argument("--learning_rate", type=float, default=5e-4)
|
||||||
parser.add_argument("--device", type=str, default="cuda:0" if torch.cuda.is_available() else "cpu")
|
parser.add_argument("--device", type=str, default="cuda:0" if torch.cuda.is_available() else "cpu")
|
||||||
parser.add_argument("--dtype", type=str, default="bfloat16")
|
parser.add_argument("--dtype", type=str, default="bfloat16")
|
||||||
|
|
|
||||||