| NUM_GPUS=1 | |
| MASTER_ADDR=ip-10-0-135-126 | |
| MASTER_PORT=11775 | |
| WORLD_SIZE=1 | |
| ------ ARGS ------- | |
| Namespace(found_model_name='HCPflat_large_gsrFalse_', epoch_checkpoint='epoch99.pth', model_suffix='beta', hcp_flat_path='/weka/proj-medarc/shared/HCP-Flat', batch_size=16, wandb_log=True, num_epochs=20, lr_scheduler_type='cycle', save_ckpt=False, seed=42, max_lr=0.0001, target='age', num_workers=10, weight_decay=1e-05, global_pool=True) | |
| outdir /weka/proj-fmri/ckadirt/fMRI-foundation-model/src/checkpoints/HCPflat_large_gsrFalse_ | |
| Loaded config.yaml from ckpt folder /weka/proj-fmri/ckadirt/fMRI-foundation-model/src/checkpoints/HCPflat_large_gsrFalse_ | |
| __CONFIG__ | |
| base_lr = 0.001 | |
| batch_size = 32 | |
| ckpt_interval = 5 | |
| ckpt_saving = True | |
| cls_embed = True | |
| contrastive_loss_weight = 1.0 | |
| datasets_to_include = HCP | |
| decoder_embed_dim = 512 | |
| grad_accumulation_steps = 1 | |
| grad_clip = 1.0 | |
| gsr = False | |
| hcp_flat_path = /weka/proj-medarc/shared/HCP-Flat | |
| mask_ratio = 0.75 | |
| model_name = HCPflat_large_gsrFalse_ | |
| no_qkv_bias = False | |
| norm_pix_loss = False | |
| nsd_flat_path = /weka/proj-medarc/shared/NSD-Flat | |
| num_epochs = 100 | |
| num_frames = 16 | |
| num_samples_per_epoch = 200000 | |
| num_workers = 10 | |
| patch_size = 16 | |
| pct_masks_to_decode = 1 | |
| plotting = True | |
| pred_t_dim = 8 | |
| print_interval = 20 | |
| probe_base_lr = 0.0003 | |
| probe_batch_size = 8 | |
| probe_num_epochs = 30 | |
| probe_num_samples_per_epoch = 100000 | |
| resume_from_ckpt = True | |
| seed = 42 | |
| sep_pos_embed = True | |
| t_patch_size = 2 | |
| test_num_samples_per_epoch = 50000 | |
| test_set = False | |
| trunc_init = False | |
| use_contrastive_loss = False | |
| wandb_log = True | |
| WORLD_SIZE=1 | |
| PID of this process = 2179123 | |
| global_pool = True | |
| gsr = False | |
| Creating datasets | |
| Datasets ready | |
| img_size (144, 320) patch_size (16, 16) frames 16 t_patch_size 2 | |
| model initialized | |
| latest_checkpoint: epoch99.pth | |
| Loaded checkpoint epoch99.pth from /weka/proj-fmri/ckadirt/fMRI-foundation-model/src/checkpoints/HCPflat_large_gsrFalse_ | |
| Input dimension: 1024 | |
| total_steps 139140 | |
| wandb_config: | |
| {'model_name': 'HCPflat_large_gsrFalse__HCP_FT_age', 'batch_size': 16, 'weight_decay': 1e-05, 'num_epochs': 20, 'seed': 42, 'lr_scheduler_type': 'cycle', 'save_ckpt': False, 'max_lr': 0.0001, 'target': 'age', 'num_workers': 10} | |
| wandb_id: HCPflat_large_gsrFalse__beta_age_HCPFT_d344d64d-8300-4465-8e75-b35200117944 | |
| Step [100/6957] - Training Loss: 0.3353 - Training MSE: 0.0294 | |
| Step [200/6957] - Training Loss: 0.2611 - Training MSE: 0.0268 | |
| Step [300/6957] - Training Loss: 0.4378 - Training MSE: 0.0261 | |
| Step [400/6957] - Training Loss: 0.5356 - Training MSE: 0.0252 | |
| Step [500/6957] - Training Loss: 0.4324 - Training MSE: 0.0248 | |
| Step [600/6957] - Training Loss: 0.4099 - Training MSE: 0.0242 | |
| Step [700/6957] - Training Loss: 0.4536 - Training MSE: 0.0239 | |
| Step [800/6957] - Training Loss: 0.4616 - Training MSE: 0.0238 | |
| Step [900/6957] - Training Loss: 0.5061 - Training MSE: 0.0237 | |
| Step [1000/6957] - Training Loss: 0.3758 - Training MSE: 0.0235 | |
| Step [1100/6957] - Training Loss: 0.3988 - Training MSE: 0.0234 | |
| Step [1200/6957] - Training Loss: 0.3735 - Training MSE: 0.0233 | |
| Step [1300/6957] - Training Loss: 0.2402 - Training MSE: 0.0234 | |
| Step [1400/6957] - Training Loss: 0.3710 - Training MSE: 0.0235 | |
| Step [1500/6957] - Training Loss: 0.2673 - Training MSE: 0.0234 | |
| Step [1600/6957] - Training Loss: 0.2171 - Training MSE: 0.0232 | |
| Step [1700/6957] - Training Loss: 0.4864 - Training MSE: 0.0231 | |
| Step [1800/6957] - Training Loss: 0.4091 - Training MSE: 0.0230 | |
| Step [1900/6957] - Training Loss: 0.2278 - Training MSE: 0.0230 | |
| Step [2000/6957] - Training Loss: 0.6462 - Training MSE: 0.0230 | |
| Step [2100/6957] - Training Loss: 0.2934 - Training MSE: 0.0229 | |
| Step [2200/6957] - Training Loss: 0.1503 - Training MSE: 0.0229 | |
| Step [2300/6957] - Training Loss: 0.2982 - Training MSE: 0.0228 | |
| Step [2400/6957] - Training Loss: 0.5785 - Training MSE: 0.0228 | |
| Step [2500/6957] - Training Loss: 0.4260 - Training MSE: 0.0227 | |
| Step [2600/6957] - Training Loss: 0.3524 - Training MSE: 0.0227 | |
| Step [2700/6957] - Training Loss: 0.4194 - Training MSE: 0.0226 | |
| Step [2800/6957] - Training Loss: 0.3239 - Training MSE: 0.0225 | |
| Step [2900/6957] - Training Loss: 0.6227 - Training MSE: 0.0225 | |
| Step [3000/6957] - Training Loss: 0.4483 - Training MSE: 0.0224 | |
| Step [3100/6957] - Training Loss: 0.2457 - Training MSE: 0.0224 | |
| Step [3200/6957] - Training Loss: 0.3748 - Training MSE: 0.0223 | |
| Step [3300/6957] - Training Loss: 0.3349 - Training MSE: 0.0222 | |
| Step [3400/6957] - Training Loss: 0.3584 - Training MSE: 0.0222 | |
| Step [3500/6957] - Training Loss: 0.4761 - Training MSE: 0.0222 | |
| Step [3600/6957] - Training Loss: 0.2872 - Training MSE: 0.0221 | |
| Step [3700/6957] - Training Loss: 0.3720 - Training MSE: 0.0220 | |
| Step [3800/6957] - Training Loss: 0.1850 - Training MSE: 0.0220 | |
| Step [3900/6957] - Training Loss: 0.0889 - Training MSE: 0.0219 | |
| Step [4000/6957] - Training Loss: 0.3948 - Training MSE: 0.0219 | |
| Step [4100/6957] - Training Loss: 0.2272 - Training MSE: 0.0218 | |
| Step [4200/6957] - Training Loss: 0.1170 - Training MSE: 0.0218 | |
| Step [4300/6957] - Training Loss: 0.4015 - Training MSE: 0.0217 | |
| Step [4400/6957] - Training Loss: 0.4192 - Training MSE: 0.0217 | |
| Step [4500/6957] - Training Loss: 0.3057 - Training MSE: 0.0216 | |
| Step [4600/6957] - Training Loss: 0.3710 - Training MSE: 0.0216 | |
| Step [4700/6957] - Training Loss: 0.1154 - Training MSE: 0.0215 | |
| Step [4800/6957] - Training Loss: 0.2176 - Training MSE: 0.0215 | |
| Step [4900/6957] - Training Loss: 0.2078 - Training MSE: 0.0214 | |
| Step [5000/6957] - Training Loss: 0.3973 - Training MSE: 0.0214 | |
| Step [5100/6957] - Training Loss: 0.0728 - Training MSE: 0.0213 | |
| Step [5200/6957] - Training Loss: 0.2381 - Training MSE: 0.0212 | |
| Step [5300/6957] - Training Loss: 0.3896 - Training MSE: 0.0212 | |
| Step [5400/6957] - Training Loss: 0.2126 - Training MSE: 0.0211 | |
| Step [5500/6957] - Training Loss: 0.4339 - Training MSE: 0.0210 | |
| Step [5600/6957] - Training Loss: 0.2140 - Training MSE: 0.0209 | |
| Step [5700/6957] - Training Loss: 0.3126 - Training MSE: 0.0209 | |
| Step [5800/6957] - Training Loss: 0.1269 - Training MSE: 0.0208 | |
| Step [5900/6957] - Training Loss: 0.1721 - Training MSE: 0.0207 | |
| Step [6000/6957] - Training Loss: 0.1690 - Training MSE: 0.0206 | |
| Step [6100/6957] - Training Loss: 0.0747 - Training MSE: 0.0205 | |
| Step [6200/6957] - Training Loss: 0.3791 - Training MSE: 0.0204 | |
| Step [6300/6957] - Training Loss: 0.3069 - Training MSE: 0.0203 | |
| Step [6400/6957] - Training Loss: 0.1519 - Training MSE: 0.0203 | |
| Step [6500/6957] - Training Loss: 0.3105 - Training MSE: 0.0202 | |
| Step [6600/6957] - Training Loss: 0.2934 - Training MSE: 0.0201 | |
| Step [6700/6957] - Training Loss: 0.2333 - Training MSE: 0.0200 | |
| Step [6800/6957] - Training Loss: 0.1637 - Training MSE: 0.0199 | |
| Step [6900/6957] - Training Loss: 0.3849 - Training MSE: 0.0198 | |
| Epoch [1/20] - Training Loss: 0.3168, Training MSE: 0.0198 - Validation Loss: 0.3809, Validation MSE: 0.0238 | |
| Step [100/6957] - Training Loss: 0.2016 - Training MSE: 0.0111 | |
| Step [200/6957] - Training Loss: 0.0951 - Training MSE: 0.0108 | |
| Step [300/6957] - Training Loss: 0.0852 - Training MSE: 0.0104 | |
| Step [400/6957] - Training Loss: 0.1962 - Training MSE: 0.0103 | |
| Step [500/6957] - Training Loss: 0.1836 - Training MSE: 0.0104 | |
| Step [600/6957] - Training Loss: 0.1019 - Training MSE: 0.0104 | |
| Step [700/6957] - Training Loss: 0.1209 - Training MSE: 0.0104 | |
| Step [800/6957] - Training Loss: 0.1136 - Training MSE: 0.0103 | |
| Step [900/6957] - Training Loss: 0.1949 - Training MSE: 0.0106 | |
| Step [1000/6957] - Training Loss: 0.0763 - Training MSE: 0.0104 | |
| Step [1100/6957] - Training Loss: 0.1061 - Training MSE: 0.0103 | |
| Step [1200/6957] - Training Loss: 0.2156 - Training MSE: 0.0103 | |
| Step [1300/6957] - Training Loss: 0.1115 - Training MSE: 0.0102 | |
| Step [1400/6957] - Training Loss: 0.1409 - Training MSE: 0.0102 | |
| Step [1500/6957] - Training Loss: 0.1089 - Training MSE: 0.0102 | |
| Step [1600/6957] - Training Loss: 0.1377 - Training MSE: 0.0101 | |
| Step [1700/6957] - Training Loss: 0.1520 - Training MSE: 0.0101 | |
| Step [1800/6957] - Training Loss: 0.1482 - Training MSE: 0.0100 | |
| Step [1900/6957] - Training Loss: 0.1291 - Training MSE: 0.0099 | |
| Step [2000/6957] - Training Loss: 0.0612 - Training MSE: 0.0098 | |
| Step [2100/6957] - Training Loss: 0.1121 - Training MSE: 0.0098 | |
| Step [2200/6957] - Training Loss: 0.0997 - Training MSE: 0.0097 | |
| Step [2300/6957] - Training Loss: 0.1223 - Training MSE: 0.0096 | |
| Step [2400/6957] - Training Loss: 0.1095 - Training MSE: 0.0095 | |
| Step [2500/6957] - Training Loss: 0.2307 - Training MSE: 0.0094 | |
| Step [2600/6957] - Training Loss: 0.0904 - Training MSE: 0.0093 | |
| Step [2700/6957] - Training Loss: 0.0651 - Training MSE: 0.0093 | |
| Step [2800/6957] - Training Loss: 0.0555 - Training MSE: 0.0092 | |
| Step [2900/6957] - Training Loss: 0.0777 - Training MSE: 0.0091 | |
| Step [3000/6957] - Training Loss: 0.1194 - Training MSE: 0.0091 | |
| Step [3100/6957] - Training Loss: 0.1656 - Training MSE: 0.0090 | |
| Step [3200/6957] - Training Loss: 0.0290 - Training MSE: 0.0089 | |
| Step [3300/6957] - Training Loss: 0.0567 - Training MSE: 0.0088 | |
| Step [3400/6957] - Training Loss: 0.1812 - Training MSE: 0.0088 | |
| Step [3500/6957] - Training Loss: 0.0548 - Training MSE: 0.0088 | |
| Step [3600/6957] - Training Loss: 0.0523 - Training MSE: 0.0087 | |
| Step [3700/6957] - Training Loss: 0.0279 - Training MSE: 0.0087 | |
| Step [3800/6957] - Training Loss: 0.1982 - Training MSE: 0.0086 | |
| Step [3900/6957] - Training Loss: 0.0840 - Training MSE: 0.0086 | |
| Step [4000/6957] - Training Loss: 0.0642 - Training MSE: 0.0085 | |
| Step [4100/6957] - Training Loss: 0.1927 - Training MSE: 0.0084 | |
| Step [4200/6957] - Training Loss: 0.0618 - Training MSE: 0.0084 | |
| Step [4300/6957] - Training Loss: 0.1261 - Training MSE: 0.0083 | |
| Step [4400/6957] - Training Loss: 0.0420 - Training MSE: 0.0082 | |
| Step [4500/6957] - Training Loss: 0.0786 - Training MSE: 0.0082 | |
| Step [4600/6957] - Training Loss: 0.0549 - Training MSE: 0.0081 | |
| Step [4700/6957] - Training Loss: 0.0352 - Training MSE: 0.0080 | |
| Step [4800/6957] - Training Loss: 0.0486 - Training MSE: 0.0079 | |
| Step [4900/6957] - Training Loss: 0.0882 - Training MSE: 0.0079 | |
| Step [5000/6957] - Training Loss: 0.0627 - Training MSE: 0.0078 | |
| Step [5100/6957] - Training Loss: 0.1265 - Training MSE: 0.0078 | |
| Step [5200/6957] - Training Loss: 0.0153 - Training MSE: 0.0077 | |
| Step [5300/6957] - Training Loss: 0.0762 - Training MSE: 0.0077 | |
| Step [5400/6957] - Training Loss: 0.0535 - Training MSE: 0.0076 | |
| Step [5500/6957] - Training Loss: 0.0420 - Training MSE: 0.0076 | |
| Step [5600/6957] - Training Loss: 0.0499 - Training MSE: 0.0076 | |
| Step [5700/6957] - Training Loss: 0.0614 - Training MSE: 0.0075 | |
| Step [5800/6957] - Training Loss: 0.1466 - Training MSE: 0.0075 | |
| Step [5900/6957] - Training Loss: 0.0475 - Training MSE: 0.0075 | |
| Step [6000/6957] - Training Loss: 0.1005 - Training MSE: 0.0074 | |
| Step [6100/6957] - Training Loss: 0.0621 - Training MSE: 0.0073 | |
| Step [6200/6957] - Training Loss: 0.0626 - Training MSE: 0.0073 | |
| Step [6300/6957] - Training Loss: 0.1202 - Training MSE: 0.0072 | |
| Step [6400/6957] - Training Loss: 0.0299 - Training MSE: 0.0072 | |
| Step [6500/6957] - Training Loss: 0.0393 - Training MSE: 0.0071 | |
| Step [6600/6957] - Training Loss: 0.0790 - Training MSE: 0.0071 | |
| Step [6700/6957] - Training Loss: 0.1032 - Training MSE: 0.0071 | |
| Step [6800/6957] - Training Loss: 0.0074 - Training MSE: 0.0070 | |
| Step [6900/6957] - Training Loss: 0.0399 - Training MSE: 0.0070 | |
| Epoch [2/20] - Training Loss: 0.1113, Training MSE: 0.0070 - Validation Loss: 0.3821, Validation MSE: 0.0239 | |
| Step [100/6957] - Training Loss: 0.0182 - Training MSE: 0.0025 | |
| Step [200/6957] - Training Loss: 0.0437 - Training MSE: 0.0028 | |
| Step [300/6957] - Training Loss: 0.0455 - Training MSE: 0.0028 | |
| Step [400/6957] - Training Loss: 0.0232 - Training MSE: 0.0027 | |
| Step [500/6957] - Training Loss: 0.0341 - Training MSE: 0.0027 | |
| Step [600/6957] - Training Loss: 0.0408 - Training MSE: 0.0028 | |
| Step [700/6957] - Training Loss: 0.0904 - Training MSE: 0.0031 | |
| Step [800/6957] - Training Loss: 0.0435 - Training MSE: 0.0034 | |
| Step [900/6957] - Training Loss: 0.0163 - Training MSE: 0.0033 | |
| Step [1000/6957] - Training Loss: 0.0254 - Training MSE: 0.0033 | |
| Step [1100/6957] - Training Loss: 0.0347 - Training MSE: 0.0033 | |
| Step [1200/6957] - Training Loss: 0.1033 - Training MSE: 0.0033 | |
| Step [1300/6957] - Training Loss: 0.0276 - Training MSE: 0.0033 | |
| Step [1400/6957] - Training Loss: 0.0292 - Training MSE: 0.0033 | |
| Step [1500/6957] - Training Loss: 0.0164 - Training MSE: 0.0033 | |
| Step [1600/6957] - Training Loss: 0.0184 - Training MSE: 0.0032 | |
| Step [1700/6957] - Training Loss: 0.0209 - Training MSE: 0.0032 | |
| Step [1800/6957] - Training Loss: 0.0255 - Training MSE: 0.0031 | |
| Step [1900/6957] - Training Loss: 0.0433 - Training MSE: 0.0031 | |
| Step [2000/6957] - Training Loss: 0.0994 - Training MSE: 0.0031 | |
| Step [2100/6957] - Training Loss: 0.0184 - Training MSE: 0.0031 | |
| Step [2200/6957] - Training Loss: 0.0773 - Training MSE: 0.0031 | |
| Step [2300/6957] - Training Loss: 0.0191 - Training MSE: 0.0031 | |
| Step [2400/6957] - Training Loss: 0.0062 - Training MSE: 0.0030 | |
| Step [2500/6957] - Training Loss: 0.0859 - Training MSE: 0.0030 | |
| Step [2600/6957] - Training Loss: 0.0404 - Training MSE: 0.0030 | |
| Step [2700/6957] - Training Loss: 0.1087 - Training MSE: 0.0031 | |
| Step [2800/6957] - Training Loss: 0.0550 - Training MSE: 0.0031 | |
| Step [2900/6957] - Training Loss: 0.0737 - Training MSE: 0.0031 | |
| Step [3000/6957] - Training Loss: 0.0278 - Training MSE: 0.0031 | |
| Step [3100/6957] - Training Loss: 0.0095 - Training MSE: 0.0030 | |
| Step [3200/6957] - Training Loss: 0.0365 - Training MSE: 0.0030 | |
| Step [3300/6957] - Training Loss: 0.0267 - Training MSE: 0.0030 | |
| Step [3400/6957] - Training Loss: 0.0054 - Training MSE: 0.0029 | |
| Step [3500/6957] - Training Loss: 0.0677 - Training MSE: 0.0029 | |
| Step [3600/6957] - Training Loss: 0.0237 - Training MSE: 0.0029 | |
| Step [3700/6957] - Training Loss: 0.0996 - Training MSE: 0.0029 | |
| Step [3800/6957] - Training Loss: 0.0062 - Training MSE: 0.0029 | |
| Step [3900/6957] - Training Loss: 0.1073 - Training MSE: 0.0029 | |
| Step [4000/6957] - Training Loss: 0.0340 - Training MSE: 0.0029 | |
| Step [4100/6957] - Training Loss: 0.0457 - Training MSE: 0.0028 | |
| Step [4200/6957] - Training Loss: 0.0783 - Training MSE: 0.0028 | |
| Step [4300/6957] - Training Loss: 0.0980 - Training MSE: 0.0028 | |
| Step [4400/6957] - Training Loss: 0.0407 - Training MSE: 0.0028 | |
| Step [4500/6957] - Training Loss: 0.1220 - Training MSE: 0.0028 | |
| Step [4600/6957] - Training Loss: 0.0222 - Training MSE: 0.0028 | |
| Step [4700/6957] - Training Loss: 0.0079 - Training MSE: 0.0028 | |
| Step [4800/6957] - Training Loss: 0.0223 - Training MSE: 0.0027 | |
| Step [4900/6957] - Training Loss: 0.0140 - Training MSE: 0.0027 | |
| Step [5000/6957] - Training Loss: 0.0385 - Training MSE: 0.0027 | |
| Step [5100/6957] - Training Loss: 0.1232 - Training MSE: 0.0027 | |
| Step [5200/6957] - Training Loss: 0.0204 - Training MSE: 0.0027 | |
| Step [5300/6957] - Training Loss: 0.0187 - Training MSE: 0.0027 | |
| Step [5400/6957] - Training Loss: 0.0767 - Training MSE: 0.0027 | |
| Step [5500/6957] - Training Loss: 0.0465 - Training MSE: 0.0027 | |
| Step [5600/6957] - Training Loss: 0.0126 - Training MSE: 0.0027 | |
| Step [5700/6957] - Training Loss: 0.0061 - Training MSE: 0.0027 | |
| Step [5800/6957] - Training Loss: 0.0120 - Training MSE: 0.0027 | |
| Step [5900/6957] - Training Loss: 0.0580 - Training MSE: 0.0027 | |
| Step [6000/6957] - Training Loss: 0.0131 - Training MSE: 0.0027 | |
| Step [6100/6957] - Training Loss: 0.0497 - Training MSE: 0.0027 | |
| Step [6200/6957] - Training Loss: 0.0713 - Training MSE: 0.0027 | |
| Step [6300/6957] - Training Loss: 0.0221 - Training MSE: 0.0027 | |
| Step [6400/6957] - Training Loss: 0.0835 - Training MSE: 0.0027 | |
| Step [6500/6957] - Training Loss: 0.0409 - Training MSE: 0.0027 | |
| Step [6600/6957] - Training Loss: 0.0232 - Training MSE: 0.0027 | |
| Step [6700/6957] - Training Loss: 0.0029 - Training MSE: 0.0026 | |
| Step [6800/6957] - Training Loss: 0.0060 - Training MSE: 0.0026 | |
| Step [6900/6957] - Training Loss: 0.0543 - Training MSE: 0.0026 | |
| Epoch [3/20] - Training Loss: 0.0415, Training MSE: 0.0026 - Validation Loss: 0.4569, Validation MSE: 0.0286 | |
| Step [100/6957] - Training Loss: 0.1452 - Training MSE: 0.0022 | |
| Step [200/6957] - Training Loss: 0.0052 - Training MSE: 0.0024 | |
| Step [300/6957] - Training Loss: 0.0096 - Training MSE: 0.0021 | |
| Step [400/6957] - Training Loss: 0.0192 - Training MSE: 0.0023 | |
| Step [500/6957] - Training Loss: 0.0191 - Training MSE: 0.0021 | |
| Step [600/6957] - Training Loss: 0.0040 - Training MSE: 0.0018 | |
| Step [700/6957] - Training Loss: 0.0555 - Training MSE: 0.0018 | |
| Step [800/6957] - Training Loss: 0.0046 - Training MSE: 0.0017 | |
| Step [900/6957] - Training Loss: 0.0146 - Training MSE: 0.0017 | |
| Step [1000/6957] - Training Loss: 0.0029 - Training MSE: 0.0016 | |
| Step [1100/6957] - Training Loss: 0.0076 - Training MSE: 0.0016 | |
| Step [1200/6957] - Training Loss: 0.0017 - Training MSE: 0.0016 | |
| Step [1300/6957] - Training Loss: 0.2443 - Training MSE: 0.0016 | |
| Step [1400/6957] - Training Loss: 0.0048 - Training MSE: 0.0016 | |
| Step [1500/6957] - Training Loss: 0.0084 - Training MSE: 0.0015 | |
| Step [1600/6957] - Training Loss: 0.0072 - Training MSE: 0.0015 | |
| Step [1700/6957] - Training Loss: 0.0022 - Training MSE: 0.0014 | |
| Step [1800/6957] - Training Loss: 0.0091 - Training MSE: 0.0014 | |
| Step [1900/6957] - Training Loss: 0.0623 - Training MSE: 0.0015 | |
| Step [2000/6957] - Training Loss: 0.0351 - Training MSE: 0.0015 | |
| Step [2100/6957] - Training Loss: 0.0310 - Training MSE: 0.0015 | |
| Step [2200/6957] - Training Loss: 0.0043 - Training MSE: 0.0015 | |
| Step [2300/6957] - Training Loss: 0.1778 - Training MSE: 0.0015 | |
| Step [2400/6957] - Training Loss: 0.0053 - Training MSE: 0.0015 | |
| Step [2500/6957] - Training Loss: 0.0027 - Training MSE: 0.0015 | |
| Step [2600/6957] - Training Loss: 0.0096 - Training MSE: 0.0015 | |
| Step [2700/6957] - Training Loss: 0.0045 - Training MSE: 0.0015 | |
| Step [2800/6957] - Training Loss: 0.0222 - Training MSE: 0.0016 | |
| Step [2900/6957] - Training Loss: 0.0025 - Training MSE: 0.0016 | |
| Step [3000/6957] - Training Loss: 0.0044 - Training MSE: 0.0016 | |
| Step [3100/6957] - Training Loss: 0.0071 - Training MSE: 0.0015 | |
| Step [3200/6957] - Training Loss: 0.0092 - Training MSE: 0.0015 | |
| Step [3300/6957] - Training Loss: 0.0054 - Training MSE: 0.0015 | |
| Step [3400/6957] - Training Loss: 0.0041 - Training MSE: 0.0015 | |
| Step [3500/6957] - Training Loss: 0.0016 - Training MSE: 0.0015 | |
| Step [3600/6957] - Training Loss: 0.0061 - Training MSE: 0.0015 | |
| Step [3700/6957] - Training Loss: 0.0033 - Training MSE: 0.0015 | |
| Step [3800/6957] - Training Loss: 0.0051 - Training MSE: 0.0015 | |
| Step [3900/6957] - Training Loss: 0.0161 - Training MSE: 0.0015 | |
| Step [4000/6957] - Training Loss: 0.0048 - Training MSE: 0.0015 | |
| Step [4100/6957] - Training Loss: 0.0014 - Training MSE: 0.0015 | |
| Step [4200/6957] - Training Loss: 0.0726 - Training MSE: 0.0015 | |
| Step [4300/6957] - Training Loss: 0.0725 - Training MSE: 0.0015 | |
| Step [4400/6957] - Training Loss: 0.0185 - Training MSE: 0.0015 | |
| Step [4500/6957] - Training Loss: 0.0060 - Training MSE: 0.0015 | |
| Step [4600/6957] - Training Loss: 0.0278 - Training MSE: 0.0015 | |
| Step [4700/6957] - Training Loss: 0.0419 - Training MSE: 0.0014 | |
| Step [4800/6957] - Training Loss: 0.0030 - Training MSE: 0.0014 | |
| Step [4900/6957] - Training Loss: 0.1963 - Training MSE: 0.0015 | |
| Step [5000/6957] - Training Loss: 0.0031 - Training MSE: 0.0015 | |
| Step [5100/6957] - Training Loss: 0.0334 - Training MSE: 0.0015 | |
| Step [5200/6957] - Training Loss: 0.0034 - Training MSE: 0.0015 | |
| Step [5300/6957] - Training Loss: 0.0039 - Training MSE: 0.0015 | |
| Step [5400/6957] - Training Loss: 0.0140 - Training MSE: 0.0015 | |
| Step [5500/6957] - Training Loss: 0.0021 - Training MSE: 0.0015 | |
| Step [5600/6957] - Training Loss: 0.0461 - Training MSE: 0.0015 | |
| Step [5700/6957] - Training Loss: 0.0448 - Training MSE: 0.0015 | |
| Step [5800/6957] - Training Loss: 0.0549 - Training MSE: 0.0015 | |
| Step [5900/6957] - Training Loss: 0.0014 - Training MSE: 0.0015 | |
| Step [6000/6957] - Training Loss: 0.0355 - Training MSE: 0.0015 | |
| Step [6100/6957] - Training Loss: 0.0026 - Training MSE: 0.0015 | |
| Step [6200/6957] - Training Loss: 0.0021 - Training MSE: 0.0015 | |
| Step [6300/6957] - Training Loss: 0.0119 - Training MSE: 0.0015 | |
| Step [6400/6957] - Training Loss: 0.0017 - Training MSE: 0.0015 | |
| Step [6500/6957] - Training Loss: 0.0041 - Training MSE: 0.0015 | |
| Step [6600/6957] - Training Loss: 0.0021 - Training MSE: 0.0015 | |
| Step [6700/6957] - Training Loss: 0.0290 - Training MSE: 0.0014 | |
| Step [6800/6957] - Training Loss: 0.0036 - Training MSE: 0.0014 | |
| Step [6900/6957] - Training Loss: 0.0089 - Training MSE: 0.0015 | |
| Epoch [4/20] - Training Loss: 0.0233, Training MSE: 0.0015 - Validation Loss: 0.4694, Validation MSE: 0.0293 | |
| Step [100/6957] - Training Loss: 0.0033 - Training MSE: 0.0014 | |
| Step [200/6957] - Training Loss: 0.0049 - Training MSE: 0.0014 | |
| Step [300/6957] - Training Loss: 0.0239 - Training MSE: 0.0014 | |
| Step [400/6957] - Training Loss: 0.0086 - Training MSE: 0.0012 | |
| Step [500/6957] - Training Loss: 0.0233 - Training MSE: 0.0010 | |
| Step [600/6957] - Training Loss: 0.0147 - Training MSE: 0.0010 | |
| Step [700/6957] - Training Loss: 0.0022 - Training MSE: 0.0009 | |
| Step [800/6957] - Training Loss: 0.0691 - Training MSE: 0.0010 | |
| Step [900/6957] - Training Loss: 0.0010 - Training MSE: 0.0010 | |
| Step [1000/6957] - Training Loss: 0.0088 - Training MSE: 0.0011 | |
| Step [1100/6957] - Training Loss: 0.0432 - Training MSE: 0.0010 | |
| Step [1200/6957] - Training Loss: 0.0146 - Training MSE: 0.0010 | |
| Step [1300/6957] - Training Loss: 0.0025 - Training MSE: 0.0010 | |
| Step [1400/6957] - Training Loss: 0.0050 - Training MSE: 0.0010 | |
| Step [1500/6957] - Training Loss: 0.0044 - Training MSE: 0.0011 | |
| Step [1600/6957] - Training Loss: 0.0100 - Training MSE: 0.0011 | |
| Step [1700/6957] - Training Loss: 0.0373 - Training MSE: 0.0011 | |
| Step [1800/6957] - Training Loss: 0.0562 - Training MSE: 0.0011 | |
| Step [1900/6957] - Training Loss: 0.0343 - Training MSE: 0.0012 | |
| Step [2000/6957] - Training Loss: 0.0393 - Training MSE: 0.0012 | |
| Step [2100/6957] - Training Loss: 0.0077 - Training MSE: 0.0012 | |
| Step [2200/6957] - Training Loss: 0.0811 - Training MSE: 0.0012 | |
| Step [2300/6957] - Training Loss: 0.0287 - Training MSE: 0.0012 | |
| Step [2400/6957] - Training Loss: 0.0049 - Training MSE: 0.0012 | |
| Step [2500/6957] - Training Loss: 0.0102 - Training MSE: 0.0012 | |
| Step [2600/6957] - Training Loss: 0.0524 - Training MSE: 0.0012 | |
| Step [2700/6957] - Training Loss: 0.0213 - Training MSE: 0.0012 | |
| Step [2800/6957] - Training Loss: 0.0011 - Training MSE: 0.0012 | |
| Step [2900/6957] - Training Loss: 0.0007 - Training MSE: 0.0012 | |
| Step [3000/6957] - Training Loss: 0.0252 - Training MSE: 0.0012 | |
| Step [3100/6957] - Training Loss: 0.0061 - Training MSE: 0.0012 | |
| Step [3200/6957] - Training Loss: 0.0013 - Training MSE: 0.0012 | |
| Step [3300/6957] - Training Loss: 0.0046 - Training MSE: 0.0012 | |
| Step [3400/6957] - Training Loss: 0.0386 - Training MSE: 0.0012 | |
| Step [3500/6957] - Training Loss: 0.0021 - Training MSE: 0.0012 | |
| Step [3600/6957] - Training Loss: 0.0023 - Training MSE: 0.0012 | |
| Step [3700/6957] - Training Loss: 0.0050 - Training MSE: 0.0011 | |
| Step [3800/6957] - Training Loss: 0.0320 - Training MSE: 0.0011 | |
| Step [3900/6957] - Training Loss: 0.0047 - Training MSE: 0.0011 | |
| Step [4000/6957] - Training Loss: 0.0053 - Training MSE: 0.0011 | |
| Step [4100/6957] - Training Loss: 0.0029 - Training MSE: 0.0011 | |
| Step [4200/6957] - Training Loss: 0.0021 - Training MSE: 0.0011 | |
| Step [4300/6957] - Training Loss: 0.0082 - Training MSE: 0.0011 | |
| Step [4400/6957] - Training Loss: 0.0021 - Training MSE: 0.0011 | |
| Step [4500/6957] - Training Loss: 0.0034 - Training MSE: 0.0011 | |
| Step [4600/6957] - Training Loss: 0.0016 - Training MSE: 0.0011 | |
| Step [4700/6957] - Training Loss: 0.0408 - Training MSE: 0.0012 | |
| Step [4800/6957] - Training Loss: 0.0056 - Training MSE: 0.0012 | |
| Step [4900/6957] - Training Loss: 0.0018 - Training MSE: 0.0012 | |
| Step [5000/6957] - Training Loss: 0.0031 - Training MSE: 0.0011 | |
| Step [5100/6957] - Training Loss: 0.0463 - Training MSE: 0.0011 | |
| Step [5200/6957] - Training Loss: 0.0009 - Training MSE: 0.0011 | |
| Step [5300/6957] - Training Loss: 0.0042 - Training MSE: 0.0011 | |
| Step [5400/6957] - Training Loss: 0.0024 - Training MSE: 0.0011 | |
| Step [5500/6957] - Training Loss: 0.0071 - Training MSE: 0.0011 | |
| Step [5600/6957] - Training Loss: 0.0008 - Training MSE: 0.0011 | |
| Step [5700/6957] - Training Loss: 0.0438 - Training MSE: 0.0011 | |
| Step [5800/6957] - Training Loss: 0.0116 - Training MSE: 0.0011 | |
| Step [5900/6957] - Training Loss: 0.0138 - Training MSE: 0.0011 | |
| Step [6000/6957] - Training Loss: 0.0010 - Training MSE: 0.0011 | |
| Step [6100/6957] - Training Loss: 0.0008 - Training MSE: 0.0011 | |
| Step [6200/6957] - Training Loss: 0.0719 - Training MSE: 0.0011 | |
| Step [6300/6957] - Training Loss: 0.0007 - Training MSE: 0.0011 | |
| Step [6400/6957] - Training Loss: 0.0035 - Training MSE: 0.0011 | |
| Step [6500/6957] - Training Loss: 0.0058 - Training MSE: 0.0011 | |
| Step [6600/6957] - Training Loss: 0.0007 - Training MSE: 0.0011 | |
| Step [6700/6957] - Training Loss: 0.0015 - Training MSE: 0.0011 | |
| Step [6800/6957] - Training Loss: 0.0011 - Training MSE: 0.0011 | |
| Step [6900/6957] - Training Loss: 0.0561 - Training MSE: 0.0011 | |
| Epoch [5/20] - Training Loss: 0.0174, Training MSE: 0.0011 - Validation Loss: 0.4568, Validation MSE: 0.0285 | |
| Step [100/6957] - Training Loss: 0.0019 - Training MSE: 0.0006 | |
| Step [200/6957] - Training Loss: 0.0025 - Training MSE: 0.0006 | |
| Step [300/6957] - Training Loss: 0.0003 - Training MSE: 0.0006 | |
| Step [400/6957] - Training Loss: 0.0070 - Training MSE: 0.0006 | |
| Step [500/6957] - Training Loss: 0.0369 - Training MSE: 0.0006 | |
| Step [600/6957] - Training Loss: 0.0011 - Training MSE: 0.0006 | |
| Step [700/6957] - Training Loss: 0.0022 - Training MSE: 0.0007 | |
| Step [800/6957] - Training Loss: 0.0053 - Training MSE: 0.0007 | |
| Step [900/6957] - Training Loss: 0.0101 - Training MSE: 0.0008 | |
| Step [1000/6957] - Training Loss: 0.0458 - Training MSE: 0.0008 | |
| Step [1100/6957] - Training Loss: 0.0078 - Training MSE: 0.0008 | |
| Step [1200/6957] - Training Loss: 0.0010 - Training MSE: 0.0008 | |
| Step [1300/6957] - Training Loss: 0.0014 - Training MSE: 0.0008 | |
| Step [1400/6957] - Training Loss: 0.0018 - Training MSE: 0.0008 | |
| Step [1500/6957] - Training Loss: 0.0660 - Training MSE: 0.0008 | |
| Step [1600/6957] - Training Loss: 0.0113 - Training MSE: 0.0009 | |
| Step [1700/6957] - Training Loss: 0.0038 - Training MSE: 0.0010 | |
| Step [1800/6957] - Training Loss: 0.0625 - Training MSE: 0.0010 | |
| Step [1900/6957] - Training Loss: 0.0008 - Training MSE: 0.0010 | |
| Step [2000/6957] - Training Loss: 0.0186 - Training MSE: 0.0011 | |
| Step [2100/6957] - Training Loss: 0.0016 - Training MSE: 0.0010 | |
| Step [2200/6957] - Training Loss: 0.0019 - Training MSE: 0.0010 | |
| Step [2300/6957] - Training Loss: 0.0005 - Training MSE: 0.0010 | |
| Step [2400/6957] - Training Loss: 0.0057 - Training MSE: 0.0010 | |
| Step [2500/6957] - Training Loss: 0.0435 - Training MSE: 0.0010 | |
| Step [2600/6957] - Training Loss: 0.0101 - Training MSE: 0.0010 | |
| Step [2700/6957] - Training Loss: 0.0023 - Training MSE: 0.0010 | |
| Step [2800/6957] - Training Loss: 0.0014 - Training MSE: 0.0010 | |
| Step [2900/6957] - Training Loss: 0.0008 - Training MSE: 0.0010 | |
| Step [3000/6957] - Training Loss: 0.0002 - Training MSE: 0.0010 | |
| Step [3100/6957] - Training Loss: 0.0017 - Training MSE: 0.0009 | |
| Step [3200/6957] - Training Loss: 0.0030 - Training MSE: 0.0009 | |
| Step [3300/6957] - Training Loss: 0.0011 - Training MSE: 0.0009 | |
| Step [3400/6957] - Training Loss: 0.0027 - Training MSE: 0.0009 | |
| Step [3500/6957] - Training Loss: 0.0016 - Training MSE: 0.0009 | |
| Step [3600/6957] - Training Loss: 0.0071 - Training MSE: 0.0009 | |
| Step [3700/6957] - Training Loss: 0.0020 - Training MSE: 0.0009 | |
| Step [3800/6957] - Training Loss: 0.0609 - Training MSE: 0.0009 | |
| Step [3900/6957] - Training Loss: 0.0014 - Training MSE: 0.0009 | |
| Step [4000/6957] - Training Loss: 0.0020 - Training MSE: 0.0009 | |
| Step [4100/6957] - Training Loss: 0.0459 - Training MSE: 0.0009 | |
| Step [4200/6957] - Training Loss: 0.0027 - Training MSE: 0.0009 | |
| Step [4300/6957] - Training Loss: 0.0003 - Training MSE: 0.0009 | |
| Step [4400/6957] - Training Loss: 0.0009 - Training MSE: 0.0009 | |
| Step [4500/6957] - Training Loss: 0.0010 - Training MSE: 0.0008 | |
| Step [4600/6957] - Training Loss: 0.0004 - Training MSE: 0.0008 | |
| Step [4700/6957] - Training Loss: 0.0223 - Training MSE: 0.0008 | |
| Step [4800/6957] - Training Loss: 0.0084 - Training MSE: 0.0009 | |
| Step [4900/6957] - Training Loss: 0.0016 - Training MSE: 0.0009 | |
| Step [5000/6957] - Training Loss: 0.0214 - Training MSE: 0.0009 | |
| Step [5100/6957] - Training Loss: 0.0050 - Training MSE: 0.0009 | |
| Step [5200/6957] - Training Loss: 0.0034 - Training MSE: 0.0009 | |
| Step [5300/6957] - Training Loss: 0.0339 - Training MSE: 0.0009 | |
| Step [5400/6957] - Training Loss: 0.0222 - Training MSE: 0.0009 | |
| Step [5500/6957] - Training Loss: 0.0016 - Training MSE: 0.0009 | |
| Step [5600/6957] - Training Loss: 0.0267 - Training MSE: 0.0009 | |
| Step [5700/6957] - Training Loss: 0.0015 - Training MSE: 0.0009 | |
| Step [5800/6957] - Training Loss: 0.0064 - Training MSE: 0.0009 | |
| Step [5900/6957] - Training Loss: 0.0026 - Training MSE: 0.0008 | |
| Step [6000/6957] - Training Loss: 0.0308 - Training MSE: 0.0008 | |
| Step [6100/6957] - Training Loss: 0.0045 - Training MSE: 0.0008 | |
| Step [6200/6957] - Training Loss: 0.0064 - Training MSE: 0.0008 | |
| Step [6300/6957] - Training Loss: 0.0015 - Training MSE: 0.0008 | |
| Step [6400/6957] - Training Loss: 0.0049 - Training MSE: 0.0008 | |
| Step [6500/6957] - Training Loss: 0.0029 - Training MSE: 0.0008 | |
| Step [6600/6957] - Training Loss: 0.0021 - Training MSE: 0.0008 | |
| Step [6700/6957] - Training Loss: 0.0014 - Training MSE: 0.0008 | |
| Step [6800/6957] - Training Loss: 0.0065 - Training MSE: 0.0008 | |
| Step [6900/6957] - Training Loss: 0.0080 - Training MSE: 0.0008 | |
| Epoch [6/20] - Training Loss: 0.0132, Training MSE: 0.0008 - Validation Loss: 0.4173, Validation MSE: 0.0261 | |
| Step [100/6957] - Training Loss: 0.0090 - Training MSE: 0.0009 | |
| Step [200/6957] - Training Loss: 0.0018 - Training MSE: 0.0007 | |
| Step [300/6957] - Training Loss: 0.0200 - Training MSE: 0.0008 | |
| Step [400/6957] - Training Loss: 0.0077 - Training MSE: 0.0007 | |
| Step [500/6957] - Training Loss: 0.0022 - Training MSE: 0.0008 | |
| Step [600/6957] - Training Loss: 0.0009 - Training MSE: 0.0007 | |
| Step [700/6957] - Training Loss: 0.0011 - Training MSE: 0.0007 | |
| Step [800/6957] - Training Loss: 0.0263 - Training MSE: 0.0007 | |
| Step [900/6957] - Training Loss: 0.1101 - Training MSE: 0.0009 | |
| Step [1000/6957] - Training Loss: 0.0844 - Training MSE: 0.0010 | |
| Step [1100/6957] - Training Loss: 0.0017 - Training MSE: 0.0010 | |
| Step [1200/6957] - Training Loss: 0.0028 - Training MSE: 0.0010 | |
| Step [1300/6957] - Training Loss: 0.0631 - Training MSE: 0.0009 | |
| Step [1400/6957] - Training Loss: 0.0028 - Training MSE: 0.0009 | |
| Step [1500/6957] - Training Loss: 0.0002 - Training MSE: 0.0009 | |
| Step [1600/6957] - Training Loss: 0.0004 - Training MSE: 0.0008 | |
| Step [1700/6957] - Training Loss: 0.0047 - Training MSE: 0.0008 | |
| Step [1800/6957] - Training Loss: 0.0010 - Training MSE: 0.0007 | |
| Step [1900/6957] - Training Loss: 0.0003 - Training MSE: 0.0007 | |
| Step [2000/6957] - Training Loss: 0.0042 - Training MSE: 0.0007 | |
| Step [2100/6957] - Training Loss: 0.0007 - Training MSE: 0.0007 | |
| Step [2200/6957] - Training Loss: 0.0023 - Training MSE: 0.0007 | |
| Step [2300/6957] - Training Loss: 0.0136 - Training MSE: 0.0007 | |
| Step [2400/6957] - Training Loss: 0.0018 - Training MSE: 0.0007 | |
| Step [2500/6957] - Training Loss: 0.0009 - Training MSE: 0.0006 | |
| Step [2600/6957] - Training Loss: 0.0740 - Training MSE: 0.0007 | |
| Step [2700/6957] - Training Loss: 0.0010 - Training MSE: 0.0007 | |
| Step [2800/6957] - Training Loss: 0.0463 - Training MSE: 0.0007 | |
| Step [2900/6957] - Training Loss: 0.0032 - Training MSE: 0.0007 | |
| Step [3000/6957] - Training Loss: 0.0006 - Training MSE: 0.0007 | |
| Step [3100/6957] - Training Loss: 0.0028 - Training MSE: 0.0007 | |
| Step [3200/6957] - Training Loss: 0.0003 - Training MSE: 0.0007 | |
| Step [3300/6957] - Training Loss: 0.0013 - Training MSE: 0.0007 | |
| Step [3400/6957] - Training Loss: 0.0424 - Training MSE: 0.0007 | |
| Step [3500/6957] - Training Loss: 0.0009 - Training MSE: 0.0007 | |
| Step [3600/6957] - Training Loss: 0.0057 - Training MSE: 0.0007 | |
| Step [3700/6957] - Training Loss: 0.0007 - Training MSE: 0.0007 | |
| Step [3800/6957] - Training Loss: 0.0544 - Training MSE: 0.0007 | |
| Step [3900/6957] - Training Loss: 0.0161 - Training MSE: 0.0007 | |
| Step [4000/6957] - Training Loss: 0.0615 - Training MSE: 0.0007 | |
| Step [4100/6957] - Training Loss: 0.0008 - Training MSE: 0.0007 | |
| Step [4200/6957] - Training Loss: 0.0022 - Training MSE: 0.0007 | |
| Step [4300/6957] - Training Loss: 0.0055 - Training MSE: 0.0007 | |
| Step [4400/6957] - Training Loss: 0.0228 - Training MSE: 0.0007 | |
| Step [4500/6957] - Training Loss: 0.0571 - Training MSE: 0.0007 | |
| Step [4600/6957] - Training Loss: 0.0026 - Training MSE: 0.0007 | |
| Step [4700/6957] - Training Loss: 0.0044 - Training MSE: 0.0007 | |
| Step [4800/6957] - Training Loss: 0.0009 - Training MSE: 0.0007 | |
| Step [4900/6957] - Training Loss: 0.0020 - Training MSE: 0.0007 | |
| Step [5000/6957] - Training Loss: 0.0018 - Training MSE: 0.0007 | |
| Step [5100/6957] - Training Loss: 0.0020 - Training MSE: 0.0007 | |
| Step [5200/6957] - Training Loss: 0.0007 - Training MSE: 0.0007 | |
| Step [5300/6957] - Training Loss: 0.0001 - Training MSE: 0.0006 | |
| Step [5400/6957] - Training Loss: 0.0012 - Training MSE: 0.0006 | |
| Step [5500/6957] - Training Loss: 0.0013 - Training MSE: 0.0006 | |
| Step [5600/6957] - Training Loss: 0.0010 - Training MSE: 0.0006 | |
| Step [5700/6957] - Training Loss: 0.0008 - Training MSE: 0.0006 | |
| Step [5800/6957] - Training Loss: 0.0019 - Training MSE: 0.0006 | |
| Step [5900/6957] - Training Loss: 0.0006 - Training MSE: 0.0006 | |
| Step [6000/6957] - Training Loss: 0.0183 - Training MSE: 0.0006 | |
| Step [6100/6957] - Training Loss: 0.0039 - Training MSE: 0.0006 | |
| Step [6200/6957] - Training Loss: 0.0068 - Training MSE: 0.0007 | |
| Step [6300/6957] - Training Loss: 0.0008 - Training MSE: 0.0006 | |
| Step [6400/6957] - Training Loss: 0.0013 - Training MSE: 0.0006 | |
| Step [6500/6957] - Training Loss: 0.0005 - Training MSE: 0.0006 | |
| Step [6600/6957] - Training Loss: 0.0011 - Training MSE: 0.0006 | |
| Step [6700/6957] - Training Loss: 0.0007 - Training MSE: 0.0006 | |
| Step [6800/6957] - Training Loss: 0.0233 - Training MSE: 0.0006 | |
| Step [6900/6957] - Training Loss: 0.0003 - Training MSE: 0.0006 | |
| Epoch [7/20] - Training Loss: 0.0099, Training MSE: 0.0006 - Validation Loss: 0.4181, Validation MSE: 0.0261 | |
| Step [100/6957] - Training Loss: 0.0006 - Training MSE: 0.0001 | |
| Step [200/6957] - Training Loss: 0.0176 - Training MSE: 0.0003 | |
| Step [300/6957] - Training Loss: 0.0064 - Training MSE: 0.0005 | |
| Step [400/6957] - Training Loss: 0.0118 - Training MSE: 0.0007 | |
| Step [500/6957] - Training Loss: 0.0097 - Training MSE: 0.0008 | |
| Step [600/6957] - Training Loss: 0.0232 - Training MSE: 0.0008 | |
| Step [700/6957] - Training Loss: 0.0042 - Training MSE: 0.0008 | |
| Step [800/6957] - Training Loss: 0.0052 - Training MSE: 0.0008 | |
| Step [900/6957] - Training Loss: 0.0006 - Training MSE: 0.0007 | |
| Step [1000/6957] - Training Loss: 0.0091 - Training MSE: 0.0007 | |
| Step [1100/6957] - Training Loss: 0.0007 - Training MSE: 0.0007 | |
| Step [1200/6957] - Training Loss: 0.0022 - Training MSE: 0.0007 | |
| Step [1300/6957] - Training Loss: 0.0080 - Training MSE: 0.0007 | |
| Step [1400/6957] - Training Loss: 0.0019 - Training MSE: 0.0007 | |
| Step [1500/6957] - Training Loss: 0.0040 - Training MSE: 0.0007 | |
| Step [1600/6957] - Training Loss: 0.1144 - Training MSE: 0.0007 | |
| Step [1700/6957] - Training Loss: 0.0018 - Training MSE: 0.0007 | |
| Step [1800/6957] - Training Loss: 0.0035 - Training MSE: 0.0007 | |
| Step [1900/6957] - Training Loss: 0.0012 - Training MSE: 0.0007 | |
| Step [2000/6957] - Training Loss: 0.0017 - Training MSE: 0.0007 | |
| Step [2100/6957] - Training Loss: 0.0026 - Training MSE: 0.0007 | |
| Step [2200/6957] - Training Loss: 0.0009 - Training MSE: 0.0007 | |
| Step [2300/6957] - Training Loss: 0.0008 - Training MSE: 0.0006 | |
| Step [2400/6957] - Training Loss: 0.0004 - Training MSE: 0.0006 | |
| Step [2500/6957] - Training Loss: 0.0014 - Training MSE: 0.0006 | |
| Step [2600/6957] - Training Loss: 0.0021 - Training MSE: 0.0006 | |
| Step [2700/6957] - Training Loss: 0.0010 - Training MSE: 0.0006 | |
| Step [2800/6957] - Training Loss: 0.0189 - Training MSE: 0.0006 | |
| Step [2900/6957] - Training Loss: 0.0054 - Training MSE: 0.0006 | |
| Step [3000/6957] - Training Loss: 0.0007 - Training MSE: 0.0006 | |
| Step [3100/6957] - Training Loss: 0.0018 - Training MSE: 0.0005 | |
| Step [3200/6957] - Training Loss: 0.0009 - Training MSE: 0.0005 | |
| Step [3300/6957] - Training Loss: 0.0005 - Training MSE: 0.0005 | |
| Step [3400/6957] - Training Loss: 0.0006 - Training MSE: 0.0005 | |
| Step [3500/6957] - Training Loss: 0.0288 - Training MSE: 0.0005 | |
| Step [3600/6957] - Training Loss: 0.0011 - Training MSE: 0.0005 | |
| Step [3700/6957] - Training Loss: 0.0032 - Training MSE: 0.0005 | |
| Step [3800/6957] - Training Loss: 0.0194 - Training MSE: 0.0005 | |
| Step [3900/6957] - Training Loss: 0.0020 - Training MSE: 0.0005 | |
| Step [4000/6957] - Training Loss: 0.0042 - Training MSE: 0.0006 | |
| Step [4100/6957] - Training Loss: 0.0014 - Training MSE: 0.0006 | |
| Step [4200/6957] - Training Loss: 0.0225 - Training MSE: 0.0006 | |
| Step [4300/6957] - Training Loss: 0.0025 - Training MSE: 0.0006 | |
| Step [4400/6957] - Training Loss: 0.0004 - Training MSE: 0.0006 | |
| Step [4500/6957] - Training Loss: 0.0003 - Training MSE: 0.0006 | |
| Step [4600/6957] - Training Loss: 0.0008 - Training MSE: 0.0006 | |
| Step [4700/6957] - Training Loss: 0.0004 - Training MSE: 0.0006 | |
| Step [4800/6957] - Training Loss: 0.0012 - Training MSE: 0.0006 | |
| Step [4900/6957] - Training Loss: 0.0006 - Training MSE: 0.0005 | |
| Step [5000/6957] - Training Loss: 0.0028 - Training MSE: 0.0005 | |
| Step [5100/6957] - Training Loss: 0.0076 - Training MSE: 0.0005 | |
| Step [5200/6957] - Training Loss: 0.0012 - Training MSE: 0.0005 | |
| Step [5300/6957] - Training Loss: 0.0009 - Training MSE: 0.0005 | |
| Step [5400/6957] - Training Loss: 0.0023 - Training MSE: 0.0005 | |
| Step [5500/6957] - Training Loss: 0.0082 - Training MSE: 0.0005 | |
| Step [5600/6957] - Training Loss: 0.0004 - Training MSE: 0.0005 | |
| Step [5700/6957] - Training Loss: 0.0004 - Training MSE: 0.0005 | |
| Step [5800/6957] - Training Loss: 0.0015 - Training MSE: 0.0005 | |
| Step [5900/6957] - Training Loss: 0.0004 - Training MSE: 0.0005 | |
| Step [6000/6957] - Training Loss: 0.0010 - Training MSE: 0.0005 | |
| Step [6100/6957] - Training Loss: 0.0036 - Training MSE: 0.0005 | |
| Step [6200/6957] - Training Loss: 0.0045 - Training MSE: 0.0005 | |
| Step [6300/6957] - Training Loss: 0.0175 - Training MSE: 0.0005 | |
| Step [6400/6957] - Training Loss: 0.0007 - Training MSE: 0.0005 | |
| Step [6500/6957] - Training Loss: 0.0359 - Training MSE: 0.0005 | |
| Step [6600/6957] - Training Loss: 0.0230 - Training MSE: 0.0005 | |
| Step [6700/6957] - Training Loss: 0.0022 - Training MSE: 0.0005 | |
| Step [6800/6957] - Training Loss: 0.0004 - Training MSE: 0.0005 | |
| Step [6900/6957] - Training Loss: 0.0012 - Training MSE: 0.0005 | |
| Epoch [8/20] - Training Loss: 0.0084, Training MSE: 0.0005 - Validation Loss: 0.4067, Validation MSE: 0.0254 | |
| Step [100/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [200/6957] - Training Loss: 0.0091 - Training MSE: 0.0002 | |
| Step [300/6957] - Training Loss: 0.0018 - Training MSE: 0.0002 | |
| Step [400/6957] - Training Loss: 0.0004 - Training MSE: 0.0002 | |
| Step [500/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [600/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Step [700/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [800/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [900/6957] - Training Loss: 0.0735 - Training MSE: 0.0002 | |
| Step [1000/6957] - Training Loss: 0.0010 - Training MSE: 0.0003 | |
| Step [1100/6957] - Training Loss: 0.0008 - Training MSE: 0.0003 | |
| Step [1200/6957] - Training Loss: 0.0019 - Training MSE: 0.0003 | |
| Step [1300/6957] - Training Loss: 0.0013 - Training MSE: 0.0003 | |
| Step [1400/6957] - Training Loss: 0.0046 - Training MSE: 0.0003 | |
| Step [1500/6957] - Training Loss: 0.0089 - Training MSE: 0.0004 | |
| Step [1600/6957] - Training Loss: 0.0010 - Training MSE: 0.0004 | |
| Step [1700/6957] - Training Loss: 0.0053 - Training MSE: 0.0004 | |
| Step [1800/6957] - Training Loss: 0.0005 - Training MSE: 0.0004 | |
| Step [1900/6957] - Training Loss: 0.0013 - Training MSE: 0.0004 | |
| Step [2000/6957] - Training Loss: 0.0040 - Training MSE: 0.0004 | |
| Step [2100/6957] - Training Loss: 0.0008 - Training MSE: 0.0003 | |
| Step [2200/6957] - Training Loss: 0.0002 - Training MSE: 0.0003 | |
| Step [2300/6957] - Training Loss: 0.0003 - Training MSE: 0.0003 | |
| Step [2400/6957] - Training Loss: 0.0002 - Training MSE: 0.0003 | |
| Step [2500/6957] - Training Loss: 0.0023 - Training MSE: 0.0003 | |
| Step [2600/6957] - Training Loss: 0.0079 - Training MSE: 0.0004 | |
| Step [2700/6957] - Training Loss: 0.0020 - Training MSE: 0.0004 | |
| Step [2800/6957] - Training Loss: 0.0009 - Training MSE: 0.0004 | |
| Step [2900/6957] - Training Loss: 0.0013 - Training MSE: 0.0004 | |
| Step [3000/6957] - Training Loss: 0.0011 - Training MSE: 0.0004 | |
| Step [3100/6957] - Training Loss: 0.0526 - Training MSE: 0.0004 | |
| Step [3200/6957] - Training Loss: 0.0006 - Training MSE: 0.0004 | |
| Step [3300/6957] - Training Loss: 0.0004 - Training MSE: 0.0004 | |
| Step [3400/6957] - Training Loss: 0.0576 - Training MSE: 0.0004 | |
| Step [3500/6957] - Training Loss: 0.0003 - Training MSE: 0.0004 | |
| Step [3600/6957] - Training Loss: 0.0003 - Training MSE: 0.0004 | |
| Step [3700/6957] - Training Loss: 0.0006 - Training MSE: 0.0004 | |
| Step [3800/6957] - Training Loss: 0.0009 - Training MSE: 0.0004 | |
| Step [3900/6957] - Training Loss: 0.0002 - Training MSE: 0.0004 | |
| Step [4000/6957] - Training Loss: 0.0004 - Training MSE: 0.0004 | |
| Step [4100/6957] - Training Loss: 0.0004 - Training MSE: 0.0004 | |
| Step [4200/6957] - Training Loss: 0.0020 - Training MSE: 0.0004 | |
| Step [4300/6957] - Training Loss: 0.0016 - Training MSE: 0.0004 | |
| Step [4400/6957] - Training Loss: 0.0005 - Training MSE: 0.0004 | |
| Step [4500/6957] - Training Loss: 0.0009 - Training MSE: 0.0004 | |
| Step [4600/6957] - Training Loss: 0.0072 - Training MSE: 0.0004 | |
| Step [4700/6957] - Training Loss: 0.0015 - Training MSE: 0.0004 | |
| Step [4800/6957] - Training Loss: 0.0009 - Training MSE: 0.0004 | |
| Step [4900/6957] - Training Loss: 0.0069 - Training MSE: 0.0004 | |
| Step [5000/6957] - Training Loss: 0.0010 - Training MSE: 0.0004 | |
| Step [5100/6957] - Training Loss: 0.0023 - Training MSE: 0.0004 | |
| Step [5200/6957] - Training Loss: 0.0026 - Training MSE: 0.0004 | |
| Step [5300/6957] - Training Loss: 0.0006 - Training MSE: 0.0004 | |
| Step [5400/6957] - Training Loss: 0.0429 - Training MSE: 0.0004 | |
| Step [5500/6957] - Training Loss: 0.0003 - Training MSE: 0.0004 | |
| Step [5600/6957] - Training Loss: 0.0002 - Training MSE: 0.0004 | |
| Step [5700/6957] - Training Loss: 0.0005 - Training MSE: 0.0003 | |
| Step [5800/6957] - Training Loss: 0.0007 - Training MSE: 0.0003 | |
| Step [5900/6957] - Training Loss: 0.0009 - Training MSE: 0.0003 | |
| Step [6000/6957] - Training Loss: 0.0008 - Training MSE: 0.0003 | |
| Step [6100/6957] - Training Loss: 0.0036 - Training MSE: 0.0003 | |
| Step [6200/6957] - Training Loss: 0.0057 - Training MSE: 0.0003 | |
| Step [6300/6957] - Training Loss: 0.0146 - Training MSE: 0.0003 | |
| Step [6400/6957] - Training Loss: 0.0012 - Training MSE: 0.0003 | |
| Step [6500/6957] - Training Loss: 0.0022 - Training MSE: 0.0003 | |
| Step [6600/6957] - Training Loss: 0.0012 - Training MSE: 0.0003 | |
| Step [6700/6957] - Training Loss: 0.0012 - Training MSE: 0.0003 | |
| Step [6800/6957] - Training Loss: 0.0008 - Training MSE: 0.0003 | |
| Step [6900/6957] - Training Loss: 0.0084 - Training MSE: 0.0003 | |
| Epoch [9/20] - Training Loss: 0.0056, Training MSE: 0.0003 - Validation Loss: 0.3878, Validation MSE: 0.0242 | |
| Step [100/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [200/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [300/6957] - Training Loss: 0.0007 - Training MSE: 0.0002 | |
| Step [400/6957] - Training Loss: 0.0014 - Training MSE: 0.0002 | |
| Step [500/6957] - Training Loss: 0.0012 - Training MSE: 0.0002 | |
| Step [600/6957] - Training Loss: 0.0127 - Training MSE: 0.0002 | |
| Step [700/6957] - Training Loss: 0.0010 - Training MSE: 0.0002 | |
| Step [800/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [900/6957] - Training Loss: 0.0007 - Training MSE: 0.0002 | |
| Step [1000/6957] - Training Loss: 0.0013 - Training MSE: 0.0002 | |
| Step [1100/6957] - Training Loss: 0.0009 - Training MSE: 0.0002 | |
| Step [1200/6957] - Training Loss: 0.0011 - Training MSE: 0.0002 | |
| Step [1300/6957] - Training Loss: 0.0020 - Training MSE: 0.0002 | |
| Step [1400/6957] - Training Loss: 0.0016 - Training MSE: 0.0002 | |
| Step [1500/6957] - Training Loss: 0.0007 - Training MSE: 0.0002 | |
| Step [1600/6957] - Training Loss: 0.0011 - Training MSE: 0.0002 | |
| Step [1700/6957] - Training Loss: 0.0019 - Training MSE: 0.0002 | |
| Step [1800/6957] - Training Loss: 0.0010 - Training MSE: 0.0002 | |
| Step [1900/6957] - Training Loss: 0.0015 - Training MSE: 0.0002 | |
| Step [2000/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [2100/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [2200/6957] - Training Loss: 0.0373 - Training MSE: 0.0002 | |
| Step [2300/6957] - Training Loss: 0.0008 - Training MSE: 0.0002 | |
| Step [2400/6957] - Training Loss: 0.0281 - Training MSE: 0.0003 | |
| Step [2500/6957] - Training Loss: 0.0002 - Training MSE: 0.0003 | |
| Step [2600/6957] - Training Loss: 0.0036 - Training MSE: 0.0003 | |
| Step [2700/6957] - Training Loss: 0.0058 - Training MSE: 0.0003 | |
| Step [2800/6957] - Training Loss: 0.0010 - Training MSE: 0.0003 | |
| Step [2900/6957] - Training Loss: 0.0014 - Training MSE: 0.0003 | |
| Step [3000/6957] - Training Loss: 0.0018 - Training MSE: 0.0003 | |
| Step [3100/6957] - Training Loss: 0.0008 - Training MSE: 0.0003 | |
| Step [3200/6957] - Training Loss: 0.0027 - Training MSE: 0.0003 | |
| Step [3300/6957] - Training Loss: 0.0042 - Training MSE: 0.0003 | |
| Step [3400/6957] - Training Loss: 0.0020 - Training MSE: 0.0003 | |
| Step [3500/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [3600/6957] - Training Loss: 0.0005 - Training MSE: 0.0003 | |
| Step [3700/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [3800/6957] - Training Loss: 0.0006 - Training MSE: 0.0003 | |
| Step [3900/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [4000/6957] - Training Loss: 0.0003 - Training MSE: 0.0003 | |
| Step [4100/6957] - Training Loss: 0.0005 - Training MSE: 0.0003 | |
| Step [4200/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [4300/6957] - Training Loss: 0.0001 - Training MSE: 0.0003 | |
| Step [4400/6957] - Training Loss: 0.0001 - Training MSE: 0.0003 | |
| Step [4500/6957] - Training Loss: 0.0002 - Training MSE: 0.0003 | |
| Step [4600/6957] - Training Loss: 0.0011 - Training MSE: 0.0003 | |
| Step [4700/6957] - Training Loss: 0.0007 - Training MSE: 0.0003 | |
| Step [4800/6957] - Training Loss: 0.0002 - Training MSE: 0.0003 | |
| Step [4900/6957] - Training Loss: 0.0073 - Training MSE: 0.0003 | |
| Step [5000/6957] - Training Loss: 0.0017 - Training MSE: 0.0003 | |
| Step [5100/6957] - Training Loss: 0.0002 - Training MSE: 0.0003 | |
| Step [5200/6957] - Training Loss: 0.0035 - Training MSE: 0.0003 | |
| Step [5300/6957] - Training Loss: 0.0003 - Training MSE: 0.0003 | |
| Step [5400/6957] - Training Loss: 0.0013 - Training MSE: 0.0003 | |
| Step [5500/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [5600/6957] - Training Loss: 0.0131 - Training MSE: 0.0003 | |
| Step [5700/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [5800/6957] - Training Loss: 0.0015 - Training MSE: 0.0003 | |
| Step [5900/6957] - Training Loss: 0.0001 - Training MSE: 0.0003 | |
| Step [6000/6957] - Training Loss: 0.0008 - Training MSE: 0.0003 | |
| Step [6100/6957] - Training Loss: 0.0243 - Training MSE: 0.0003 | |
| Step [6200/6957] - Training Loss: 0.0030 - Training MSE: 0.0003 | |
| Step [6300/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [6400/6957] - Training Loss: 0.0007 - Training MSE: 0.0003 | |
| Step [6500/6957] - Training Loss: 0.0003 - Training MSE: 0.0003 | |
| Step [6600/6957] - Training Loss: 0.0004 - Training MSE: 0.0003 | |
| Step [6700/6957] - Training Loss: 0.0006 - Training MSE: 0.0003 | |
| Step [6800/6957] - Training Loss: 0.0014 - Training MSE: 0.0003 | |
| Step [6900/6957] - Training Loss: 0.0005 - Training MSE: 0.0003 | |
| Epoch [10/20] - Training Loss: 0.0043, Training MSE: 0.0003 - Validation Loss: 0.3933, Validation MSE: 0.0246 | |
| Step [100/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [200/6957] - Training Loss: 0.0020 - Training MSE: 0.0002 | |
| Step [300/6957] - Training Loss: 0.0011 - Training MSE: 0.0002 | |
| Step [400/6957] - Training Loss: 0.0005 - Training MSE: 0.0002 | |
| Step [500/6957] - Training Loss: 0.0008 - Training MSE: 0.0002 | |
| Step [600/6957] - Training Loss: 0.0004 - Training MSE: 0.0002 | |
| Step [700/6957] - Training Loss: 0.0025 - Training MSE: 0.0002 | |
| Step [800/6957] - Training Loss: 0.0004 - Training MSE: 0.0002 | |
| Step [900/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [1000/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [1100/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [1200/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [1300/6957] - Training Loss: 0.0028 - Training MSE: 0.0002 | |
| Step [1400/6957] - Training Loss: 0.0007 - Training MSE: 0.0002 | |
| Step [1500/6957] - Training Loss: 0.0157 - Training MSE: 0.0002 | |
| Step [1600/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [1700/6957] - Training Loss: 0.0012 - Training MSE: 0.0002 | |
| Step [1800/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [1900/6957] - Training Loss: 0.0001 - Training MSE: 0.0002 | |
| Step [2000/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [2100/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [2200/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [2300/6957] - Training Loss: 0.0016 - Training MSE: 0.0002 | |
| Step [2400/6957] - Training Loss: 0.0276 - Training MSE: 0.0002 | |
| Step [2500/6957] - Training Loss: 0.0016 - Training MSE: 0.0002 | |
| Step [2600/6957] - Training Loss: 0.0012 - Training MSE: 0.0002 | |
| Step [2700/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [2800/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [2900/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [3000/6957] - Training Loss: 0.0017 - Training MSE: 0.0002 | |
| Step [3100/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [3200/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [3300/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [3400/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [3500/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [3600/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [3700/6957] - Training Loss: 0.0075 - Training MSE: 0.0002 | |
| Step [3800/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [3900/6957] - Training Loss: 0.0008 - Training MSE: 0.0002 | |
| Step [4000/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [4100/6957] - Training Loss: 0.0001 - Training MSE: 0.0002 | |
| Step [4200/6957] - Training Loss: 0.0024 - Training MSE: 0.0002 | |
| Step [4300/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [4400/6957] - Training Loss: 0.0020 - Training MSE: 0.0002 | |
| Step [4500/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [4600/6957] - Training Loss: 0.0001 - Training MSE: 0.0002 | |
| Step [4700/6957] - Training Loss: 0.0020 - Training MSE: 0.0002 | |
| Step [4800/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [4900/6957] - Training Loss: 0.0012 - Training MSE: 0.0002 | |
| Step [5000/6957] - Training Loss: 0.0017 - Training MSE: 0.0002 | |
| Step [5100/6957] - Training Loss: 0.0010 - Training MSE: 0.0002 | |
| Step [5200/6957] - Training Loss: 0.0004 - Training MSE: 0.0002 | |
| Step [5300/6957] - Training Loss: 0.0006 - Training MSE: 0.0002 | |
| Step [5400/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [5500/6957] - Training Loss: 0.0005 - Training MSE: 0.0002 | |
| Step [5600/6957] - Training Loss: 0.0012 - Training MSE: 0.0002 | |
| Step [5700/6957] - Training Loss: 0.0008 - Training MSE: 0.0002 | |
| Step [5800/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [5900/6957] - Training Loss: 0.0001 - Training MSE: 0.0002 | |
| Step [6000/6957] - Training Loss: 0.0007 - Training MSE: 0.0002 | |
| Step [6100/6957] - Training Loss: 0.0003 - Training MSE: 0.0002 | |
| Step [6200/6957] - Training Loss: 0.0036 - Training MSE: 0.0002 | |
| Step [6300/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [6400/6957] - Training Loss: 0.0013 - Training MSE: 0.0002 | |
| Step [6500/6957] - Training Loss: 0.0220 - Training MSE: 0.0002 | |
| Step [6600/6957] - Training Loss: 0.0001 - Training MSE: 0.0002 | |
| Step [6700/6957] - Training Loss: 0.0301 - Training MSE: 0.0002 | |
| Step [6800/6957] - Training Loss: 0.0064 - Training MSE: 0.0002 | |
| Step [6900/6957] - Training Loss: 0.0029 - Training MSE: 0.0002 | |
| Epoch [11/20] - Training Loss: 0.0028, Training MSE: 0.0002 - Validation Loss: 0.3914, Validation MSE: 0.0245 | |
| Step [100/6957] - Training Loss: 0.0132 - Training MSE: 0.0003 | |
| Step [200/6957] - Training Loss: 0.0018 - Training MSE: 0.0002 | |
| Step [300/6957] - Training Loss: 0.0014 - Training MSE: 0.0003 | |
| Step [400/6957] - Training Loss: 0.0011 - Training MSE: 0.0003 | |
| Step [500/6957] - Training Loss: 0.0011 - Training MSE: 0.0002 | |
| Step [600/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [700/6957] - Training Loss: 0.0005 - Training MSE: 0.0002 | |
| Step [800/6957] - Training Loss: 0.0014 - Training MSE: 0.0002 | |
| Step [900/6957] - Training Loss: 0.0004 - Training MSE: 0.0002 | |
| Step [1000/6957] - Training Loss: 0.0001 - Training MSE: 0.0002 | |
| Step [1100/6957] - Training Loss: 0.0000 - Training MSE: 0.0002 | |
| Step [1200/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [1300/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [1400/6957] - Training Loss: 0.0009 - Training MSE: 0.0001 | |
| Step [1500/6957] - Training Loss: 0.0009 - Training MSE: 0.0001 | |
| Step [1600/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [1700/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [1800/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [1900/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [2000/6957] - Training Loss: 0.0011 - Training MSE: 0.0001 | |
| Step [2100/6957] - Training Loss: 0.0401 - Training MSE: 0.0002 | |
| Step [2200/6957] - Training Loss: 0.0005 - Training MSE: 0.0002 | |
| Step [2300/6957] - Training Loss: 0.0164 - Training MSE: 0.0002 | |
| Step [2400/6957] - Training Loss: 0.0002 - Training MSE: 0.0002 | |
| Step [2500/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [2600/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [2700/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [2800/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [2900/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [3000/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3100/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [3200/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [3300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3400/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Step [3500/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [3600/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Step [3700/6957] - Training Loss: 0.0006 - Training MSE: 0.0001 | |
| Step [3800/6957] - Training Loss: 0.0008 - Training MSE: 0.0001 | |
| Step [3900/6957] - Training Loss: 0.0011 - Training MSE: 0.0001 | |
| Step [4000/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4100/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [4200/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4300/6957] - Training Loss: 0.0009 - Training MSE: 0.0001 | |
| Step [4400/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4500/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [4600/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [4700/6957] - Training Loss: 0.0008 - Training MSE: 0.0001 | |
| Step [4800/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [4900/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [5000/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [5100/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [5200/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [5300/6957] - Training Loss: 0.0006 - Training MSE: 0.0001 | |
| Step [5400/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [5500/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [5600/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5700/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [5800/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5900/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6000/6957] - Training Loss: 0.0014 - Training MSE: 0.0001 | |
| Step [6100/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [6200/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6400/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [6500/6957] - Training Loss: 0.0009 - Training MSE: 0.0001 | |
| Step [6600/6957] - Training Loss: 0.0006 - Training MSE: 0.0001 | |
| Step [6700/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [6800/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [6900/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Epoch [12/20] - Training Loss: 0.0017, Training MSE: 0.0001 - Validation Loss: 0.4000, Validation MSE: 0.0250 | |
| Step [100/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [200/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [400/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [500/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [600/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [700/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [800/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [900/6957] - Training Loss: 0.0008 - Training MSE: 0.0001 | |
| Step [1000/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [1100/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [1200/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Step [1300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0020 - Training MSE: 0.0001 | |
| Step [2000/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [2100/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [2200/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [2300/6957] - Training Loss: 0.0605 - Training MSE: 0.0001 | |
| Step [2400/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [2500/6957] - Training Loss: 0.0010 - Training MSE: 0.0001 | |
| Step [2600/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [2700/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [2800/6957] - Training Loss: 0.0008 - Training MSE: 0.0001 | |
| Step [2900/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [3000/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3100/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3200/6957] - Training Loss: 0.0147 - Training MSE: 0.0001 | |
| Step [3300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3400/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3500/6957] - Training Loss: 0.0039 - Training MSE: 0.0001 | |
| Step [3600/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [3700/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Step [3800/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [3900/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [4000/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [4100/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [4200/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [4300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4400/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4500/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [4600/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4700/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0001 | |
| Step [4900/6957] - Training Loss: 0.0007 - Training MSE: 0.0001 | |
| Step [5000/6957] - Training Loss: 0.0018 - Training MSE: 0.0001 | |
| Step [5100/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5200/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5300/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5400/6957] - Training Loss: 0.0005 - Training MSE: 0.0001 | |
| Step [5500/6957] - Training Loss: 0.0006 - Training MSE: 0.0001 | |
| Step [5600/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5700/6957] - Training Loss: 0.0004 - Training MSE: 0.0001 | |
| Step [5800/6957] - Training Loss: 0.0002 - Training MSE: 0.0001 | |
| Step [5900/6957] - Training Loss: 0.0018 - Training MSE: 0.0001 | |
| Step [6000/6957] - Training Loss: 0.0051 - Training MSE: 0.0001 | |
| Step [6100/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6200/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6300/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0001 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0001 | |
| Step [6600/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6700/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6800/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [6900/6957] - Training Loss: 0.0000 - Training MSE: 0.0001 | |
| Epoch [13/20] - Training Loss: 0.0011, Training MSE: 0.0001 - Validation Loss: 0.3817, Validation MSE: 0.0239 | |
| Step [100/6957] - Training Loss: 0.0003 - Training MSE: 0.0001 | |
| Step [200/6957] - Training Loss: 0.0001 - Training MSE: 0.0001 | |
| Step [300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0009 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0003 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0004 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0004 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0005 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0010 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0011 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0003 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0174 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0003 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0005 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0458 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Epoch [14/20] - Training Loss: 0.0006, Training MSE: 0.0000 - Validation Loss: 0.3896, Validation MSE: 0.0243 | |
| Step [100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [200/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0003 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0067 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0004 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0005 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0003 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0037 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Epoch [15/20] - Training Loss: 0.0003, Training MSE: 0.0000 - Validation Loss: 0.3805, Validation MSE: 0.0238 | |
| Step [100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [200/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0002 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Epoch [16/20] - Training Loss: 0.0002, Training MSE: 0.0000 - Validation Loss: 0.3771, Validation MSE: 0.0236 | |
| Step [100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [200/6957] - Training Loss: 0.0004 - Training MSE: 0.0000 | |
| Step [300/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Epoch [17/20] - Training Loss: 0.0001, Training MSE: 0.0000 - Validation Loss: 0.3723, Validation MSE: 0.0233 | |
| Step [100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0001 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Epoch [18/20] - Training Loss: 0.0000, Training MSE: 0.0000 - Validation Loss: 0.3721, Validation MSE: 0.0233 | |
| Step [100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Epoch [19/20] - Training Loss: 0.0000, Training MSE: 0.0000 - Validation Loss: 0.3732, Validation MSE: 0.0233 | |
| Step [100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [1900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [2900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [3900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [4900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [5900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6000/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6100/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6200/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6300/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6400/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6500/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6600/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6700/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6800/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Step [6900/6957] - Training Loss: 0.0000 - Training MSE: 0.0000 | |
| Epoch [20/20] - Training Loss: 0.0000, Training MSE: 0.0000 - Validation Loss: 0.3730, Validation MSE: 0.0233 | |
| [1;34mwandb[0m: 🚀 View run [33mHCPflat_large_gsrFalse__beta_age_HCPFT[0m at: [34mhttps://stability.wandb.io/ckadirt/fMRI-foundation-model/runs/HCPflat_large_gsrFalse__beta_age_HCPFT_d344d64d-8300-4465-8e75-b35200117944[0m | |
| [1;34mwandb[0m: Find logs at: [1;35mwandb/run-20241127_023614-HCPflat_large_gsrFalse__beta_age_HCPFT_d344d64d-8300-4465-8e75-b35200117944/logs[0m | |