| NUM_GPUS=1 | |
| MASTER_ADDR=ip-10-0-131-135 | |
| MASTER_PORT=13958 | |
| WORLD_SIZE=1 | |
| PID of this process = 1419057 | |
| ------ ARGS ------- | |
| Namespace(model_suffix='beta', hcp_flat_path='/weka/proj-medarc/shared/HCP-Flat', batch_size=256, wandb_log=True, num_epochs=50, lr_scheduler_type='cycle', save_ckpt=False, seed=42, max_lr=1e-05, target='trial_type', num_workers=15, weight_decay=1e-05) | |
| Number of classes: 21 | |
| Input dimension: 737280 | |
| total_steps 21750 | |
| wandb_config: | |
| {'model_name': 'HCPflat_raw_trial_type', 'batch_size': 256, 'weight_decay': 1e-05, 'num_epochs': 50, 'seed': 42, 'lr_scheduler_type': 'cycle', 'save_ckpt': False, 'max_lr': 1e-05, 'target': 'trial_type', 'num_workers': 15} | |
| wandb_id: HCPflat_raw_beta_trial_type_749d6203-1266-473a-b49a-e7325917f171 | |
| Step [100/435] - Training Loss: 2.2615 - Training Accuracy: 21.61% | |
| Step [200/435] - Training Loss: 1.4896 - Training Accuracy: 38.51% | |
| Step [300/435] - Training Loss: 0.8745 - Training Accuracy: 50.88% | |
| Step [400/435] - Training Loss: 0.5028 - Training Accuracy: 59.75% | |
| Epoch [1/50] - Training Loss: 1.5308, Training Accuracy: 62.16% - Validation Loss: 0.5084, Validation Accuracy: 90.71% | |
| Step [100/435] - Training Loss: 0.2828 - Training Accuracy: 94.09% | |
| Step [200/435] - Training Loss: 0.3001 - Training Accuracy: 94.64% | |
| Step [300/435] - Training Loss: 0.2278 - Training Accuracy: 95.04% | |
| Step [400/435] - Training Loss: 0.2211 - Training Accuracy: 95.40% | |
| Epoch [2/50] - Training Loss: 0.2600, Training Accuracy: 95.54% - Validation Loss: 0.2073, Validation Accuracy: 95.64% | |
| Step [100/435] - Training Loss: 0.0558 - Training Accuracy: 99.27% | |
| Step [200/435] - Training Loss: 0.0562 - Training Accuracy: 99.29% | |
| Step [300/435] - Training Loss: 0.0575 - Training Accuracy: 99.27% | |
| Step [400/435] - Training Loss: 0.0635 - Training Accuracy: 99.29% | |
| Epoch [3/50] - Training Loss: 0.0729, Training Accuracy: 99.28% - Validation Loss: 0.1615, Validation Accuracy: 96.23% | |
| Step [100/435] - Training Loss: 0.0202 - Training Accuracy: 99.91% | |
| Step [200/435] - Training Loss: 0.0259 - Training Accuracy: 99.91% | |
| Step [300/435] - Training Loss: 0.0311 - Training Accuracy: 99.91% | |
| Step [400/435] - Training Loss: 0.0316 - Training Accuracy: 99.91% | |
| Epoch [4/50] - Training Loss: 0.0291, Training Accuracy: 99.91% - Validation Loss: 0.1442, Validation Accuracy: 96.42% | |
| Step [100/435] - Training Loss: 0.0156 - Training Accuracy: 99.98% | |
| Step [200/435] - Training Loss: 0.0134 - Training Accuracy: 99.98% | |
| Step [300/435] - Training Loss: 0.0142 - Training Accuracy: 99.98% | |
| Step [400/435] - Training Loss: 0.0202 - Training Accuracy: 99.98% | |
| Epoch [5/50] - Training Loss: 0.0157, Training Accuracy: 99.98% - Validation Loss: 0.1360, Validation Accuracy: 96.47% | |
| Step [100/435] - Training Loss: 0.0093 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0101 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0113 - Training Accuracy: 99.99% | |
| Step [400/435] - Training Loss: 0.0102 - Training Accuracy: 99.99% | |
| Epoch [6/50] - Training Loss: 0.0099, Training Accuracy: 99.99% - Validation Loss: 0.1300, Validation Accuracy: 96.64% | |
| Step [100/435] - Training Loss: 0.0074 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0065 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0066 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0058 - Training Accuracy: 100.00% | |
| Epoch [7/50] - Training Loss: 0.0067, Training Accuracy: 100.00% - Validation Loss: 0.1265, Validation Accuracy: 96.62% | |
| Step [100/435] - Training Loss: 0.0050 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0063 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0040 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0055 - Training Accuracy: 100.00% | |
| Epoch [8/50] - Training Loss: 0.0049, Training Accuracy: 100.00% - Validation Loss: 0.1237, Validation Accuracy: 96.67% | |
| Step [100/435] - Training Loss: 0.0040 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0036 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0033 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0027 - Training Accuracy: 100.00% | |
| Epoch [9/50] - Training Loss: 0.0037, Training Accuracy: 100.00% - Validation Loss: 0.1222, Validation Accuracy: 96.64% | |
| Step [100/435] - Training Loss: 0.0030 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0029 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0030 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0022 - Training Accuracy: 100.00% | |
| Epoch [10/50] - Training Loss: 0.0028, Training Accuracy: 100.00% - Validation Loss: 0.1203, Validation Accuracy: 96.71% | |
| Step [100/435] - Training Loss: 0.0024 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0020 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0019 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0023 - Training Accuracy: 100.00% | |
| Epoch [11/50] - Training Loss: 0.0022, Training Accuracy: 100.00% - Validation Loss: 0.1192, Validation Accuracy: 96.71% | |
| Step [100/435] - Training Loss: 0.0019 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0015 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0016 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0018 - Training Accuracy: 100.00% | |
| Epoch [12/50] - Training Loss: 0.0017, Training Accuracy: 100.00% - Validation Loss: 0.1184, Validation Accuracy: 96.78% | |
| Step [100/435] - Training Loss: 0.0014 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0013 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0014 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0013 - Training Accuracy: 100.00% | |
| Epoch [13/50] - Training Loss: 0.0014, Training Accuracy: 100.00% - Validation Loss: 0.1174, Validation Accuracy: 96.76% | |
| Step [100/435] - Training Loss: 0.0011 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0011 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0012 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0012 - Training Accuracy: 100.00% | |
| Epoch [14/50] - Training Loss: 0.0011, Training Accuracy: 100.00% - Validation Loss: 0.1170, Validation Accuracy: 96.84% | |
| Step [100/435] - Training Loss: 0.0009 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0008 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0008 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0009 - Training Accuracy: 100.00% | |
| Epoch [15/50] - Training Loss: 0.0009, Training Accuracy: 100.00% - Validation Loss: 0.1167, Validation Accuracy: 96.81% | |
| Step [100/435] - Training Loss: 0.0008 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0007 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0006 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0006 - Training Accuracy: 100.00% | |
| Epoch [16/50] - Training Loss: 0.0007, Training Accuracy: 100.00% - Validation Loss: 0.1167, Validation Accuracy: 96.82% | |
| Step [100/435] - Training Loss: 0.0006 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0006 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0007 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0006 - Training Accuracy: 100.00% | |
| Epoch [17/50] - Training Loss: 0.0006, Training Accuracy: 100.00% - Validation Loss: 0.1166, Validation Accuracy: 96.83% | |
| Step [100/435] - Training Loss: 0.0005 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0005 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0004 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0005 - Training Accuracy: 100.00% | |
| Epoch [18/50] - Training Loss: 0.0005, Training Accuracy: 100.00% - Validation Loss: 0.1164, Validation Accuracy: 96.82% | |
| Step [100/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0004 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0004 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Epoch [19/50] - Training Loss: 0.0004, Training Accuracy: 100.00% - Validation Loss: 0.1162, Validation Accuracy: 96.84% | |
| Step [100/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Epoch [20/50] - Training Loss: 0.0003, Training Accuracy: 100.00% - Validation Loss: 0.1163, Validation Accuracy: 96.87% | |
| Step [100/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Epoch [21/50] - Training Loss: 0.0003, Training Accuracy: 100.00% - Validation Loss: 0.1169, Validation Accuracy: 96.87% | |
| Step [100/435] - Training Loss: 0.0003 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Epoch [22/50] - Training Loss: 0.0002, Training Accuracy: 100.00% - Validation Loss: 0.1164, Validation Accuracy: 96.87% | |
| Step [100/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Epoch [23/50] - Training Loss: 0.0002, Training Accuracy: 100.00% - Validation Loss: 0.1171, Validation Accuracy: 96.90% | |
| Step [100/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0002 - Training Accuracy: 100.00% | |
| Epoch [24/50] - Training Loss: 0.0002, Training Accuracy: 100.00% - Validation Loss: 0.1170, Validation Accuracy: 96.92% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [25/50] - Training Loss: 0.0001, Training Accuracy: 100.00% - Validation Loss: 0.1177, Validation Accuracy: 96.93% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [26/50] - Training Loss: 0.0001, Training Accuracy: 100.00% - Validation Loss: 0.1178, Validation Accuracy: 96.91% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [27/50] - Training Loss: 0.0001, Training Accuracy: 100.00% - Validation Loss: 0.1180, Validation Accuracy: 96.93% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [28/50] - Training Loss: 0.0001, Training Accuracy: 100.00% - Validation Loss: 0.1183, Validation Accuracy: 96.92% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [29/50] - Training Loss: 0.0001, Training Accuracy: 100.00% - Validation Loss: 0.1192, Validation Accuracy: 96.94% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [30/50] - Training Loss: 0.0001, Training Accuracy: 100.00% - Validation Loss: 0.1193, Validation Accuracy: 96.95% | |
| Step [100/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0001 - Training Accuracy: 100.00% | |
| Epoch [31/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1198, Validation Accuracy: 96.96% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [32/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1203, Validation Accuracy: 96.94% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [33/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1206, Validation Accuracy: 96.97% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [34/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1208, Validation Accuracy: 96.98% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [35/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1214, Validation Accuracy: 96.99% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [36/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1220, Validation Accuracy: 97.00% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [37/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1224, Validation Accuracy: 96.99% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [38/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1229, Validation Accuracy: 97.00% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [39/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1232, Validation Accuracy: 97.00% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [40/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1235, Validation Accuracy: 97.00% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [41/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1239, Validation Accuracy: 97.01% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [42/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1242, Validation Accuracy: 97.02% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [43/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1244, Validation Accuracy: 97.00% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [44/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1247, Validation Accuracy: 97.02% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [45/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1250, Validation Accuracy: 97.03% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [46/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1252, Validation Accuracy: 97.02% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [47/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1252, Validation Accuracy: 97.04% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [48/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1253, Validation Accuracy: 97.04% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [49/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1253, Validation Accuracy: 97.04% | |
| Step [100/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [200/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [300/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Step [400/435] - Training Loss: 0.0000 - Training Accuracy: 100.00% | |
| Epoch [50/50] - Training Loss: 0.0000, Training Accuracy: 100.00% - Validation Loss: 0.1253, Validation Accuracy: 97.04% | |
| [1;34mwandb[0m: 🚀 View run [33mHCPflat_raw_beta_trial_type[0m at: [34mhttps://stability.wandb.io/ckadirt/fMRI-foundation-model/runs/HCPflat_raw_beta_trial_type_749d6203-1266-473a-b49a-e7325917f171[0m | |
| [1;34mwandb[0m: Find logs at: [1;35mwandb/run-20241127_023019-HCPflat_raw_beta_trial_type_749d6203-1266-473a-b49a-e7325917f171/logs[0m | |