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train_run1.log

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+Using device: cpu
+train=3264 val=362 samples
+/media/suman/Backup_of_extra_/miniconda3/lib/python3.13/site-packages/torch/cuda/__init__.py:422: UserWarning: Found GPU0 NVIDIA GeForce GTX 1070 which is of compute capability (CC) 6.1.
+The following list shows the CCs this version of PyTorch was built for and the hardware CCs it supports:
+- 7.5 which supports hardware CC >=7.5,<8.0
+- 8.0 which supports hardware CC >=8.0,<9.0 except {8.7}
+- 8.6 which supports hardware CC >=8.6,<9.0 except {8.7}
+- 9.0 which supports hardware CC >=9.0,<10.0
+- 10.0 which supports hardware CC >=10.0,<11.0 except {10.1}
+- 12.0 which supports hardware CC >=12.0,<13.0
+Your installed torch==2.13.0+cu130 does not include kernels for this GPU. Reinstall the same version against a CUDA build that does, e.g.:
+  For CUDA 12.6 use pip install torch==2.13.0 --index-url https://download.pytorch.org/whl/cu126
+  _warn_unsupported_code(d, device_cc, code_ccs)
+/media/suman/Backup_of_extra_/miniconda3/lib/python3.13/site-packages/torch/cuda/__init__.py:540: UserWarning: 
+NVIDIA GeForce GTX 1070 with CUDA capability sm_61 is not compatible with the current PyTorch installation.
+The current PyTorch install supports CUDA capabilities sm_75 sm_80 sm_86 sm_90 sm_100 sm_120.
+If you want to use the NVIDIA GeForce GTX 1070 GPU with PyTorch, please check the instructions at https://pytorch.org/get-started/locally/
+
+  queued_call()
+epoch 0 step 20 lr 6.67e-06 loss 1.7232 (cls 0.7415 reg 0.0426 ep 0.0272)
+epoch 0 step 40 lr 1.33e-05 loss 1.4397 (cls 0.6244 reg 0.0330 ep 0.0261)
+epoch 0 step 60 lr 2.00e-05 loss 1.3305 (cls 0.5836 reg 0.0281 ep 0.0228)
+epoch 0 step 80 lr 2.67e-05 loss 1.2681 (cls 0.5636 reg 0.0242 ep 0.0199)
+epoch 0 step 100 lr 3.33e-05 loss 1.2162 (cls 0.5468 reg 0.0209 ep 0.0180)