diff options
Diffstat (limited to 'cnn_v3/training/train_cnn_v3.py')
| -rw-r--r-- | cnn_v3/training/train_cnn_v3.py | 21 |
1 files changed, 13 insertions, 8 deletions
diff --git a/cnn_v3/training/train_cnn_v3.py b/cnn_v3/training/train_cnn_v3.py index 5b6a0be..e48f684 100644 --- a/cnn_v3/training/train_cnn_v3.py +++ b/cnn_v3/training/train_cnn_v3.py @@ -21,6 +21,7 @@ Weight budget: ~15.3 KB conv f16 (7828 f16); total with MLP ~17.9 KB Training improvements: --edge-loss-weight Sobel edge loss alongside MSE (default 0.1) --film-warmup-epochs Train U-Net only for N epochs before unfreezing FiLM MLP (default 50) + --checkpoint-every Save checkpoint every N epochs (default 100) """ import argparse @@ -309,18 +310,22 @@ def main(): help='Search ±N px in target to minimise grayscale MSE (default 0=disabled)') # Model - p.add_argument('--enc-channels', default='4,8', - help='Encoder channels, comma-separated (default 4,8)') + p.add_argument('--enc-channels', default='8,16', + help='Encoder channels, comma-separated (default 8,16)') p.add_argument('--film-cond-dim', type=int, default=5, help='FiLM conditioning input dim (default 5)') # Training - p.add_argument('--epochs', type=int, default=200) - p.add_argument('--batch-size', type=int, default=16) - p.add_argument('--lr', type=float, default=1e-3) - p.add_argument('--checkpoint-dir', default='checkpoints') - p.add_argument('--checkpoint-every', type=int, default=50, - help='Save checkpoint every N epochs (0=disable)') + p.add_argument('--epochs', type=int, default=200, + help='Total training epochs (default 200)') + p.add_argument('--batch-size', type=int, default=16, + help='Batch size (default 16)') + p.add_argument('--lr', type=float, default=1e-3, + help='Learning rate (default 1e-3)') + p.add_argument('--checkpoint-dir', default='checkpoints', + help='Directory to save checkpoints (default checkpoints)') + p.add_argument('--checkpoint-every', type=int, default=100, + help='Save checkpoint every N epochs (default 100; 0=disable)') p.add_argument('--resume', default='', metavar='CKPT', help='Resume from checkpoint path; if path missing, use latest in --checkpoint-dir') p.add_argument('--edge-loss-weight', type=float, default=0.1, |