| (gpu) PS C:\Research\CourtKeyNet> python .\finetune.py | |
| ============================================================ | |
| CourtKeyNet Fine-tuning Script | |
| Clean Dataset: 7k+ perfectly annotated images | |
| ============================================================ | |
| Selected pretrained weights: C:/Research/CourtKeyNet/runs/courtkeynet/exp_20260121_223500_wijqjzd9/best.pt | |
| Clean dataset: C:\Research\Datasets\Badminton_court\7k+Clean_Dataset | |
| Using device: cuda | |
| wandb: Currently logged in as: adithyanraj03 to https://api.wandb.ai. Use `wandb login --relogin` to force relogin | |
| wandb: Tracking run with wandb version 0.23.1 | |
| wandb: Run data is saved locally in C:\Research\CourtKeyNet\wandb\run-20260129_061557-0fnvysj4 | |
| wandb: Run `wandb offline` to turn off syncing. | |
| wandb: Syncing run Finetune_01/29_06:15 | |
| wandb: View project at https://wandb.ai/adithyanraj03/courtkeynet | |
| wandb: View run at https://wandb.ai/adithyanraj03/courtkeynet/runs/0fnvysj4 | |
| wandb: Detected [huggingface_hub.inference] in use. | |
| wandb: Use W&B Weave for improved LLM call tracing. Install Weave with `pip install weave` then add `import weave` to the top of your script. | |
| wandb: For more information, check out the docs at: https://weave-docs.wandb.ai/ | |
| Weights & Biases initialized: https://wandb.ai/adithyanraj03/courtkeynet/runs/0fnvysj4 | |
| [train] Found 58123 images | |
| [valid] Found 16826 images | |
| [finetune-train] Found 58123 images | |
| [finetune-valid] Found 16826 images | |
| Loading pretrained weights... | |
| Loaded from epoch 138, best_val_loss=0.09765742771935054 | |
| Model parameters: 1,238,856 | |
| Fine-tuning LR: 0.0001 | |
| Checkpoints will be saved to: runs\courtkeynet_finetune\finetune_20260129_061601_0fnvysj4 | |
| ============================================================ | |
| Starting Fine-tuning... | |
| ============================================================ | |
| Epoch 0: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [20:27<00:00, 1.01s/it, loss=0.0173] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.36it/s] | |
| Epoch 1/100 | |
| Train Loss: 0.0586 | |
| Val Loss: 0.0181 | |
| Val PCK: 0.9943 | |
| Val IoU: 0.9833 | |
| β Saved best model (val_loss=0.0181) | |
| Epoch 1: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:02<00:00, 2.01it/s, loss=0.00963] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 2/100 | |
| Train Loss: 0.0132 | |
| Val Loss: 0.0098 | |
| Val PCK: 0.9976 | |
| Val IoU: 0.9901 | |
| β Saved best model (val_loss=0.0098) | |
| Epoch 2: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.0109] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 3/100 | |
| Train Loss: 0.0106 | |
| Val Loss: 0.0117 | |
| Val PCK: 0.9964 | |
| Val IoU: 0.9896 | |
| No improvement for 1/20 epochs | |
| Epoch 3: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:02<00:00, 2.01it/s, loss=0.00971] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 4/100 | |
| Train Loss: 0.0087 | |
| Val Loss: 0.0076 | |
| Val PCK: 0.9983 | |
| Val IoU: 0.9924 | |
| β Saved best model (val_loss=0.0076) | |
| Epoch 4: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00753] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 5/100 | |
| Train Loss: 0.0084 | |
| Val Loss: 0.0066 | |
| Val PCK: 0.9983 | |
| Val IoU: 0.9932 | |
| β Saved best model (val_loss=0.0066) | |
| Epoch 5: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [31:39<00:00, 1.57s/it, loss=0.00898] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:15<00:00, 1.40it/s] | |
| Epoch 6/100 | |
| Train Loss: 0.0069 | |
| Val Loss: 0.0060 | |
| Val PCK: 0.9982 | |
| Val IoU: 0.9933 | |
| β Saved best model (val_loss=0.0060) | |
| Epoch 6: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:04<00:00, 1.59s/it, loss=0.00831] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:21<00:00, 1.38it/s] | |
| Epoch 7/100 | |
| Train Loss: 0.0070 | |
| Val Loss: 0.0057 | |
| Val PCK: 0.9986 | |
| Val IoU: 0.9937 | |
| β Saved best model (val_loss=0.0057) | |
| Epoch 7: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [18:15<00:00, 1.10it/s, loss=0.00608] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.40it/s] | |
| Epoch 8/100 | |
| Train Loss: 0.0065 | |
| Val Loss: 0.0064 | |
| Val PCK: 0.9980 | |
| Val IoU: 0.9936 | |
| No improvement for 1/20 epochs | |
| Epoch 8: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [11:27<00:00, 1.76it/s, loss=0.00956] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 9/100 | |
| Train Loss: 0.0069 | |
| Val Loss: 0.0069 | |
| Val PCK: 0.9985 | |
| Val IoU: 0.9930 | |
| No improvement for 2/20 epochs | |
| Epoch 9: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00876] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 10/100 | |
| Train Loss: 0.0062 | |
| Val Loss: 0.0076 | |
| Val PCK: 0.9982 | |
| Val IoU: 0.9932 | |
| No improvement for 3/20 epochs | |
| Epoch 10: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00628] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 11/100 | |
| Train Loss: 0.0059 | |
| Val Loss: 0.0051 | |
| Val PCK: 0.9989 | |
| Val IoU: 0.9946 | |
| β Saved best model (val_loss=0.0051) | |
| Epoch 11: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.0072] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.38it/s] | |
| Epoch 12/100 | |
| Train Loss: 0.0064 | |
| Val Loss: 0.0048 | |
| Val PCK: 0.9988 | |
| Val IoU: 0.9950 | |
| β Saved best model (val_loss=0.0048) | |
| Epoch 12: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:02<00:00, 2.01it/s, loss=0.00574] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 13/100 | |
| Train Loss: 0.0057 | |
| Val Loss: 0.0053 | |
| Val PCK: 0.9989 | |
| Val IoU: 0.9946 | |
| No improvement for 1/20 epochs | |
| Epoch 13: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00631] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 14/100 | |
| Train Loss: 0.0059 | |
| Val Loss: 0.0043 | |
| Val PCK: 0.9990 | |
| Val IoU: 0.9951 | |
| β Saved best model (val_loss=0.0043) | |
| Epoch 14: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00544] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.37it/s] | |
| Epoch 15/100 | |
| Train Loss: 0.0057 | |
| Val Loss: 0.0069 | |
| Val PCK: 0.9980 | |
| Val IoU: 0.9939 | |
| No improvement for 1/20 epochs | |
| Epoch 15: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00487] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 16/100 | |
| Train Loss: 0.0061 | |
| Val Loss: 0.0047 | |
| Val PCK: 0.9990 | |
| Val IoU: 0.9949 | |
| No improvement for 2/20 epochs | |
| Epoch 16: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [09:59<00:00, 2.02it/s, loss=0.00493] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 17/100 | |
| Train Loss: 0.0058 | |
| Val Loss: 0.0035 | |
| Val PCK: 0.9989 | |
| Val IoU: 0.9953 | |
| β Saved best model (val_loss=0.0035) | |
| Epoch 17: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00418] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.40it/s] | |
| Epoch 18/100 | |
| Train Loss: 0.0051 | |
| Val Loss: 0.0032 | |
| Val PCK: 0.9991 | |
| Val IoU: 0.9954 | |
| β Saved best model (val_loss=0.0032) | |
| Epoch 18: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:02<00:00, 2.01it/s, loss=0.00595] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 19/100 | |
| Train Loss: 0.0048 | |
| Val Loss: 0.0040 | |
| Val PCK: 0.9994 | |
| Val IoU: 0.9954 | |
| No improvement for 1/20 epochs | |
| Epoch 19: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.00491] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 20/100 | |
| Train Loss: 0.0046 | |
| Val Loss: 0.0030 | |
| Val PCK: 0.9994 | |
| Val IoU: 0.9955 | |
| β Saved best model (val_loss=0.0030) | |
| Epoch 20: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00482] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 21/100 | |
| Train Loss: 0.0047 | |
| Val Loss: 0.0041 | |
| Val PCK: 0.9989 | |
| Val IoU: 0.9950 | |
| No improvement for 1/20 epochs | |
| Epoch 21: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00384] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 22/100 | |
| Train Loss: 0.0046 | |
| Val Loss: 0.0047 | |
| Val PCK: 0.9987 | |
| Val IoU: 0.9946 | |
| No improvement for 2/20 epochs | |
| Epoch 22: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.00503] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 23/100 | |
| Train Loss: 0.0048 | |
| Val Loss: 0.0049 | |
| Val PCK: 0.9986 | |
| Val IoU: 0.9946 | |
| No improvement for 3/20 epochs | |
| Epoch 23: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00434] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 24/100 | |
| Train Loss: 0.0049 | |
| Val Loss: 0.0026 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9958 | |
| β Saved best model (val_loss=0.0026) | |
| Epoch 24: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00425] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 25/100 | |
| Train Loss: 0.0042 | |
| Val Loss: 0.0029 | |
| Val PCK: 0.9993 | |
| Val IoU: 0.9957 | |
| No improvement for 1/20 epochs | |
| Epoch 25: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.00602] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.38it/s] | |
| Epoch 26/100 | |
| Train Loss: 0.0053 | |
| Val Loss: 0.0035 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9955 | |
| No improvement for 2/20 epochs | |
| Epoch 26: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.00537] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.37it/s] | |
| Epoch 27/100 | |
| Train Loss: 0.0044 | |
| Val Loss: 0.0026 | |
| Val PCK: 0.9994 | |
| Val IoU: 0.9958 | |
| β Saved best model (val_loss=0.0026) | |
| Epoch 27: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.01it/s, loss=0.0028] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.40it/s] | |
| Epoch 28/100 | |
| Train Loss: 0.0040 | |
| Val Loss: 0.0025 | |
| Val PCK: 0.9994 | |
| Val IoU: 0.9960 | |
| β Saved best model (val_loss=0.0025) | |
| Epoch 28: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00418] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [01:59<00:00, 4.39it/s] | |
| Epoch 29/100 | |
| Train Loss: 0.0040 | |
| Val Loss: 0.0031 | |
| Val PCK: 0.9992 | |
| Val IoU: 0.9956 | |
| No improvement for 1/20 epochs | |
| Epoch 29: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00418] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [05:13<00:00, 1.68it/s] | |
| Epoch 30/100 | |
| Train Loss: 0.0052 | |
| Val Loss: 0.0031 | |
| Val PCK: 0.9991 | |
| Val IoU: 0.9958 | |
| No improvement for 2/20 epochs | |
| Epoch 30: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:20<00:00, 1.60s/it, loss=0.00388] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:18<00:00, 1.39it/s] | |
| Epoch 31/100 | |
| Train Loss: 0.0040 | |
| Val Loss: 0.0020 | |
| Val PCK: 0.9994 | |
| Val IoU: 0.9962 | |
| β Saved best model (val_loss=0.0020) | |
| Epoch 31: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:20<00:00, 1.60s/it, loss=0.0036] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:22<00:00, 1.38it/s] | |
| Epoch 32/100 | |
| Train Loss: 0.0041 | |
| Val Loss: 0.0025 | |
| Val PCK: 0.9993 | |
| Val IoU: 0.9960 | |
| No improvement for 1/20 epochs | |
| Epoch 32: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:20<00:00, 1.60s/it, loss=0.00352] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:16<00:00, 1.40it/s] | |
| Epoch 33/100 | |
| Train Loss: 0.0039 | |
| Val Loss: 0.0023 | |
| Val PCK: 0.9992 | |
| Val IoU: 0.9960 | |
| No improvement for 2/20 epochs | |
| Epoch 33: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:14<00:00, 1.60s/it, loss=0.00426] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:19<00:00, 1.39it/s] | |
| Epoch 34/100 | |
| Train Loss: 0.0045 | |
| Val Loss: 0.0022 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9961 | |
| No improvement for 3/20 epochs | |
| Epoch 34: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:17<00:00, 1.60s/it, loss=0.00387] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:20<00:00, 1.38it/s] | |
| Epoch 35/100 | |
| Train Loss: 0.0038 | |
| Val Loss: 0.0022 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9960 | |
| No improvement for 4/20 epochs | |
| Epoch 35: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:10<00:00, 1.60s/it, loss=0.00448] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:16<00:00, 1.40it/s] | |
| Epoch 36/100 | |
| Train Loss: 0.0037 | |
| Val Loss: 0.0058 | |
| Val PCK: 0.9976 | |
| Val IoU: 0.9940 | |
| No improvement for 5/20 epochs | |
| Epoch 36: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:08<00:00, 1.59s/it, loss=0.00335] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:16<00:00, 1.40it/s] | |
| Epoch 37/100 | |
| Train Loss: 0.0042 | |
| Val Loss: 0.0023 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9959 | |
| No improvement for 6/20 epochs | |
| Epoch 37: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:11<00:00, 1.60s/it, loss=0.00228] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:17<00:00, 1.39it/s] | |
| Epoch 38/100 | |
| Train Loss: 0.0042 | |
| Val Loss: 0.0020 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9961 | |
| No improvement for 7/20 epochs | |
| Epoch 38: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:03<00:00, 1.59s/it, loss=0.00321] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:22<00:00, 1.38it/s] | |
| Epoch 39/100 | |
| Train Loss: 0.0037 | |
| Val Loss: 0.0021 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9961 | |
| No improvement for 8/20 epochs | |
| Epoch 39: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [31:56<00:00, 1.58s/it, loss=0.00433] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:17<00:00, 1.39it/s] | |
| Epoch 40/100 | |
| Train Loss: 0.0038 | |
| Val Loss: 0.0026 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9961 | |
| No improvement for 9/20 epochs | |
| Epoch 40: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [31:56<00:00, 1.58s/it, loss=0.00479] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:16<00:00, 1.40it/s] | |
| Epoch 41/100 | |
| Train Loss: 0.0036 | |
| Val Loss: 0.0022 | |
| Val PCK: 0.9993 | |
| Val IoU: 0.9961 | |
| No improvement for 10/20 epochs | |
| Epoch 41: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:01<00:00, 2.01it/s, loss=0.00441] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.36it/s] | |
| Epoch 42/100 | |
| Train Loss: 0.0037 | |
| Val Loss: 0.0022 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9962 | |
| No improvement for 11/20 epochs | |
| Epoch 42: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00236] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:00<00:00, 4.37it/s] | |
| Epoch 43/100 | |
| Train Loss: 0.0036 | |
| Val Loss: 0.0019 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9963 | |
| β Saved best model (val_loss=0.0019) | |
| Epoch 43: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:00<00:00, 2.02it/s, loss=0.00302] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [03:08<00:00, 2.79it/s] | |
| Epoch 44/100 | |
| Train Loss: 0.0036 | |
| Val Loss: 0.0026 | |
| Val PCK: 0.9993 | |
| Val IoU: 0.9961 | |
| No improvement for 1/20 epochs | |
| Epoch 44: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [32:04<00:00, 1.59s/it, loss=0.00309] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:19<00:00, 1.39it/s] | |
| Epoch 45/100 | |
| Train Loss: 0.0035 | |
| Val Loss: 0.0020 | |
| Val PCK: 0.9994 | |
| Val IoU: 0.9963 | |
| No improvement for 2/20 epochs | |
| Epoch 45: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [31:41<00:00, 1.57s/it, loss=0.00345] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:15<00:00, 1.40it/s] | |
| Epoch 46/100 | |
| Train Loss: 0.0035 | |
| Val Loss: 0.0019 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9962 | |
| No improvement for 3/20 epochs | |
| Epoch 46: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:57<00:00, 1.68s/it, loss=0.00432] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:04<00:00, 1.44it/s] | |
| Epoch 47/100 | |
| Train Loss: 0.0036 | |
| Val Loss: 0.0024 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9961 | |
| No improvement for 4/20 epochs | |
| Epoch 47: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [17:26<00:00, 1.16it/s, loss=0.0044] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:08<00:00, 4.10it/s] | |
| Epoch 48/100 | |
| Train Loss: 0.0034 | |
| Val Loss: 0.0017 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9964 | |
| β Saved best model (val_loss=0.0017) | |
| Epoch 48: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:32<00:00, 1.91it/s, loss=0.00291] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:07<00:00, 4.11it/s] | |
| Epoch 49/100 | |
| Train Loss: 0.0035 | |
| Val Loss: 0.0018 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9964 | |
| No improvement for 1/20 epochs | |
| Epoch 49: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:31<00:00, 1.92it/s, loss=0.00238] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:07<00:00, 4.11it/s] | |
| Epoch 50/100 | |
| Train Loss: 0.0035 | |
| Val Loss: 0.0022 | |
| Val PCK: 0.9993 | |
| Val IoU: 0.9962 | |
| No improvement for 2/20 epochs | |
| Epoch 50: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:32<00:00, 1.91it/s, loss=0.00336] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:07<00:00, 4.12it/s] | |
| Epoch 51/100 | |
| Train Loss: 0.0035 | |
| Val Loss: 0.0023 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9962 | |
| No improvement for 3/20 epochs | |
| Epoch 51: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:32<00:00, 1.91it/s, loss=0.0035] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:07<00:00, 4.12it/s] | |
| Epoch 52/100 | |
| Train Loss: 0.0035 | |
| Val Loss: 0.0018 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9964 | |
| No improvement for 4/20 epochs | |
| Epoch 52: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:32<00:00, 1.91it/s, loss=0.00261] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:07<00:00, 4.12it/s] | |
| Epoch 53/100 | |
| Train Loss: 0.0034 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9998 | |
| Val IoU: 0.9966 | |
| β Saved best model (val_loss=0.0015) | |
| Epoch 53: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [10:31<00:00, 1.92it/s, loss=0.00357] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [02:08<00:00, 4.10it/s] | |
| Epoch 54/100 | |
| Train Loss: 0.0034 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9998 | |
| Val IoU: 0.9966 | |
| No improvement for 1/20 epochs | |
| Epoch 54: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [19:13<00:00, 1.05it/s, loss=0.00175] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:10<00:00, 1.42it/s] | |
| Epoch 55/100 | |
| Train Loss: 0.0033 | |
| Val Loss: 0.0016 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9965 | |
| No improvement for 2/20 epochs | |
| Epoch 55: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:46<00:00, 1.67s/it, loss=0.00286] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:03<00:00, 1.45it/s] | |
| Epoch 56/100 | |
| Train Loss: 0.0032 | |
| Val Loss: 0.0017 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9964 | |
| No improvement for 3/20 epochs | |
| Epoch 56: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:44<00:00, 1.67s/it, loss=0.00308] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:06<00:00, 1.44it/s] | |
| Epoch 57/100 | |
| Train Loss: 0.0033 | |
| Val Loss: 0.0018 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9965 | |
| No improvement for 4/20 epochs | |
| Epoch 57: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:40<00:00, 1.67s/it, loss=0.00391] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:10<00:00, 1.42it/s] | |
| Epoch 58/100 | |
| Train Loss: 0.0032 | |
| Val Loss: 0.0016 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9965 | |
| No improvement for 5/20 epochs | |
| Epoch 58: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:43<00:00, 1.67s/it, loss=0.00334] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 59/100 | |
| Train Loss: 0.0032 | |
| Val Loss: 0.0013 | |
| Val PCK: 0.9999 | |
| Val IoU: 0.9966 | |
| β Saved best model (val_loss=0.0013) | |
| Epoch 59: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:37<00:00, 1.67s/it, loss=0.00275] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 60/100 | |
| Train Loss: 0.0033 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9998 | |
| Val IoU: 0.9967 | |
| No improvement for 1/20 epochs | |
| Epoch 60: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:48<00:00, 1.68s/it, loss=0.00286] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 61/100 | |
| Train Loss: 0.0032 | |
| Val Loss: 0.0019 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9964 | |
| No improvement for 2/20 epochs | |
| Epoch 61: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:47<00:00, 1.68s/it, loss=0.00446] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:06<00:00, 1.43it/s] | |
| Epoch 62/100 | |
| Train Loss: 0.0032 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9998 | |
| Val IoU: 0.9966 | |
| No improvement for 3/20 epochs | |
| Epoch 62: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:44<00:00, 1.67s/it, loss=0.00267] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:05<00:00, 1.44it/s] | |
| Epoch 63/100 | |
| Train Loss: 0.0032 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9966 | |
| No improvement for 4/20 epochs | |
| Epoch 63: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:44<00:00, 1.67s/it, loss=0.00254] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 64/100 | |
| Train Loss: 0.0031 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9998 | |
| Val IoU: 0.9966 | |
| No improvement for 5/20 epochs | |
| Epoch 64: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:44<00:00, 1.67s/it, loss=0.00331] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 65/100 | |
| Train Loss: 0.0031 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9967 | |
| No improvement for 6/20 epochs | |
| Epoch 65: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:41<00:00, 1.67s/it, loss=0.00192] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:04<00:00, 1.44it/s] | |
| Epoch 66/100 | |
| Train Loss: 0.0031 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9967 | |
| No improvement for 7/20 epochs | |
| Epoch 66: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:51<00:00, 1.68s/it, loss=0.00263] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 67/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9966 | |
| No improvement for 8/20 epochs | |
| Epoch 67: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:48<00:00, 1.68s/it, loss=0.00237] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:09<00:00, 1.42it/s] | |
| Epoch 68/100 | |
| Train Loss: 0.0031 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9995 | |
| Val IoU: 0.9967 | |
| No improvement for 9/20 epochs | |
| Epoch 68: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:46<00:00, 1.68s/it, loss=0.00166] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 69/100 | |
| Train Loss: 0.0031 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9966 | |
| No improvement for 10/20 epochs | |
| Epoch 69: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:54<00:00, 1.68s/it, loss=0.00324] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:06<00:00, 1.43it/s] | |
| Epoch 70/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9966 | |
| No improvement for 11/20 epochs | |
| Epoch 70: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:48<00:00, 1.68s/it, loss=0.00276] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 71/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9967 | |
| No improvement for 12/20 epochs | |
| Epoch 71: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:54<00:00, 1.68s/it, loss=0.00347] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:03<00:00, 1.45it/s] | |
| Epoch 72/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0015 | |
| Val PCK: 0.9998 | |
| Val IoU: 0.9967 | |
| No improvement for 13/20 epochs | |
| Epoch 72: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:52<00:00, 1.68s/it, loss=0.00197] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 73/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9967 | |
| No improvement for 14/20 epochs | |
| Epoch 73: 100%|βββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:54<00:00, 1.68s/it, loss=0.0027] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:06<00:00, 1.43it/s] | |
| Epoch 74/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9967 | |
| No improvement for 15/20 epochs | |
| Epoch 74: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:48<00:00, 1.68s/it, loss=0.00273] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 75/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9966 | |
| No improvement for 16/20 epochs | |
| Epoch 75: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:46<00:00, 1.67s/it, loss=0.00345] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:05<00:00, 1.44it/s] | |
| Epoch 76/100 | |
| Train Loss: 0.0029 | |
| Val Loss: 0.0017 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9966 | |
| No improvement for 17/20 epochs | |
| Epoch 76: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:43<00:00, 1.67s/it, loss=0.00317] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:05<00:00, 1.44it/s] | |
| Epoch 77/100 | |
| Train Loss: 0.0029 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9967 | |
| No improvement for 18/20 epochs | |
| Epoch 77: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:44<00:00, 1.67s/it, loss=0.00289] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:07<00:00, 1.43it/s] | |
| Epoch 78/100 | |
| Train Loss: 0.0030 | |
| Val Loss: 0.0014 | |
| Val PCK: 0.9996 | |
| Val IoU: 0.9967 | |
| No improvement for 19/20 epochs | |
| Epoch 78: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 1210/1210 [33:53<00:00, 1.68s/it, loss=0.00345] | |
| Validation: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββββ| 526/526 [06:04<00:00, 1.44it/s] | |
| Epoch 79/100 | |
| Train Loss: 0.0029 | |
| Val Loss: 0.0013 | |
| Val PCK: 0.9997 | |
| Val IoU: 0.9967 | |
| No improvement for 20/20 epochs | |
| β‘ Early stopping triggered after 79 epochs! | |
| wandb: | |
| wandb: Run history: | |
| wandb: batch ββββ βββ ββββββββββββ ββ ββββββββββ βββββ βββ β | |
| wandb: epoch βββββββββββββββββββββ β β β β β ββββββββββββββ | |
| wandb: finetune/epoch_loss ββββββββββββββββββββββββββββββββββββββββ | |
| wandb: finetune/l_angle ββββββββββββββββββββββββββββββββββββββββ | |
| wandb: finetune/l_diag ββββββββββββββββ ββββββββββββββββββββββββ | |
| wandb: finetune/l_edge ββββββββββββββββββ ββββββββββββββββββββββ | |
| wandb: finetune/l_hm ββββββ β βββββββββββββββββββββββββββββββββ | |
| wandb: finetune/l_kpt ββββββββββββββββββββββββββββββββββββββββ | |
| wandb: finetune/loss βββββββββββββββββ βββββββββββββββββββββββ | |
| wandb: finetune/lr ββ ββββββββββββββββ β β ββββββββββββββββββββ | |
| wandb: +5 ... | |
| wandb: | |
| wandb: Run summary: | |
| wandb: batch 1200 | |
| wandb: best_epoch 59 | |
| wandb: best_val_loss 0.0013 | |
| wandb: epoch 79 | |
| wandb: finetune/epoch_loss 0.00295 | |
| wandb: finetune/l_angle 2e-05 | |
| wandb: finetune/l_diag 0.0 | |
| wandb: finetune/l_edge 1e-05 | |
| wandb: finetune/l_hm 3e-05 | |
| wandb: finetune/l_kpt 2e-05 | |
| wandb: +7 ... | |
| wandb: | |
| wandb: View run Finetune_01/29_06:15 at: https://wandb.ai/adithyanraj03/courtkeynet/runs/0fnvysj4 | |
| wandb: View project at: https://wandb.ai/adithyanraj03/courtkeynet | |
| wandb: Synced 5 W&B file(s), 80 media file(s), 2 artifact file(s) and 0 other file(s) | |
| wandb: Find logs at: .\wandb\run-20260129_061557-0fnvysj4\logs | |
| ============================================================ | |
| Fine-tuning Complete! | |
| Best val loss: 0.0013 | |
| Weights saved to: runs\courtkeynet_finetune\finetune_20260129_061601_0fnvysj4 | |
| ============================================================ |