sam-train-2-5-3-cont.log

[{"stream_name":"stderr","time":5.796641851,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":5.796699561,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":5.796704644,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":5.796707316,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stderr","time":6.521925572,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":6.521966157,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":6.5219769979999995,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":6.521981703,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stdout","time":11.518179467,"data":"\u001b[?25l   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m0.0/193.6 kB\u001b[0m \u001b[31m?\u001b[0m eta \u001b[36m-:--:--\u001b[0m\r\u001b[2K   \u001b[91m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m\u001b[90m╺\u001b[0m\u001b[90m━\u001b[0m \u001b[32m184.3/193.6 kB\u001b[0m \u001b[31m6.7 MB/s\u001b[0m eta \u001b[36m0:00:01\u001b[0m\r\u001b[2K   \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m193.6/193.6 kB\u001b[0m \u001b[31m4.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n"}
,{"stream_name":"stdout","time":13.338519959,"data":"\u001b[?25h\u001b[31mERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.\r\n"}
,{"stream_name":"stdout","time":13.338562315,"data":"bigframes 2.8.0 requires google-cloud-bigquery-storage\u003c3.0.0,\u003e=2.30.0, which is not installed.\r\n"}
,{"stream_name":"stdout","time":13.338569397,"data":"cesium 0.12.4 requires numpy\u003c3.0,\u003e=2.0, but you have numpy 1.26.4 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338574472,"data":"torch 2.6.0+cu124 requires nvidia-cublas-cu12==12.4.5.8; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cublas-cu12 12.5.3.2 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338580032,"data":"torch 2.6.0+cu124 requires nvidia-cuda-cupti-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-cupti-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338585752,"data":"torch 2.6.0+cu124 requires nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-nvrtc-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338591349,"data":"torch 2.6.0+cu124 requires nvidia-cuda-runtime-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cuda-runtime-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338596683,"data":"torch 2.6.0+cu124 requires nvidia-cudnn-cu12==9.1.0.70; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cudnn-cu12 9.3.0.75 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338601995,"data":"torch 2.6.0+cu124 requires nvidia-cufft-cu12==11.2.1.3; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cufft-cu12 11.2.3.61 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.33862383,"data":"torch 2.6.0+cu124 requires nvidia-curand-cu12==10.3.5.147; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-curand-cu12 10.3.6.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.33862838,"data":"torch 2.6.0+cu124 requires nvidia-cusolver-cu12==11.6.1.9; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusolver-cu12 11.6.3.83 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338634397,"data":"torch 2.6.0+cu124 requires nvidia-cusparse-cu12==12.3.1.170; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-cusparse-cu12 12.5.1.3 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.33863847,"data":"torch 2.6.0+cu124 requires nvidia-nvjitlink-cu12==12.4.127; platform_system == \"Linux\" and platform_machine == \"x86_64\", but you have nvidia-nvjitlink-cu12 12.5.82 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338642412,"data":"gcsfs 2025.3.2 requires fsspec==2025.3.2, but you have fsspec 2025.3.0 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.338646172,"data":"bigframes 2.8.0 requires google-cloud-bigquery[bqstorage,pandas]\u003e=3.31.0, but you have google-cloud-bigquery 3.25.0 which is incompatible.\r\n"}
,{"stream_name":"stdout","time":13.33865011,"data":"bigframes 2.8.0 requires rich\u003c14,\u003e=12.4.4, but you have rich 14.0.0 which is incompatible.\u001b[0m\u001b[31m\r\n"}
,{"stream_name":"stdout","time":23.775594767,"data":"\u001b[0m🚀 Resuming training from Hugging Face Hub: Smilyai-labs/Sam-2.5-3\n"}
,{"stream_name":"stdout","time":26.719117297,"data":"✅ Model loaded successfully from sam2-epoch5-best.safetensors\n"}
,{"stream_name":"stdout","time":26.719162067,"data":"🚀 Loading and preparing datasets...\n"}
,{"stream_name":"stdout","time":695.942538766,"data":"✅ Datasets loaded. Training on 314410 examples, validating on 26929 examples.\n"}
,{"stream_name":"stdout","time":701.023376703,"data":"✅ Previous best validation loss set to: 2.7598\n"}
,{"stream_name":"stdout","time":701.023429314,"data":"\n"}
,{"stream_name":"stdout","time":701.023436998,"data":"--- Starting New Training Epoch 1/4 (Overall Epoch 6) ---\n"}
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,{"stream_name":"stdout","time":740.198743161,"data":"Epoch 1/4 | Step 200/39302 | Loss: 2.3805 | ETA: 7627.2s\n"}
,{"stream_name":"stdout","time":759.184690614,"data":"Epoch 1/4 | Step 300/39302 | Loss: 2.6131 | ETA: 7532.1s\n"}
,{"stream_name":"stdout","time":778.036148769,"data":"Epoch 1/4 | Step 400/39302 | Loss: 2.9766 | ETA: 7473.7s\n"}
,{"stream_name":"stdout","time":797.303307538,"data":"Epoch 1/4 | Step 500/39302 | Loss: 1.7478 | ETA: 7456.7s\n"}
,{"stream_name":"stdout","time":816.204228751,"data":"Epoch 1/4 | Step 600/39302 | Loss: 2.0901 | ETA: 7418.8s\n"}
,{"stream_name":"stdout","time":835.115026218,"data":"Epoch 1/4 | Step 700/39302 | Loss: 2.3740 | ETA: 7384.7s\n"}
,{"stream_name":"stdout","time":854.344591813,"data":"Epoch 1/4 | Step 800/39302 | Loss: 3.2509 | ETA: 7370.7s\n"}
,{"stream_name":"stdout","time":873.234858825,"data":"Epoch 1/4 | Step 900/39302 | Loss: 2.2623 | ETA: 7340.4s\n"}
,{"stream_name":"stdout","time":892.208809229,"data":"Epoch 1/4 | Step 1000/39302 | Loss: 1.9623 | ETA: 7316.4s\n"}
,{"stream_name":"stdout","time":911.264915145,"data":"Epoch 1/4 | Step 1100/39302 | Loss: 1.4886 | ETA: 7295.0s\n"}
,{"stream_name":"stdout","time":930.823554184,"data":"Epoch 1/4 | Step 1200/39302 | Loss: 2.5198 | ETA: 7291.2s\n"}
,{"stream_name":"stdout","time":949.786435226,"data":"Epoch 1/4 | Step 1300/39302 | Loss: 2.2847 | ETA: 7266.7s\n"}
,{"stream_name":"stdout","time":968.89497972,"data":"Epoch 1/4 | Step 1400/39302 | Loss: 2.5460 | ETA: 7247.5s\n"}
,{"stream_name":"stdout","time":987.973172393,"data":"Epoch 1/4 | Step 1500/39302 | Loss: 2.8526 | ETA: 7227.1s\n"}
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,{"stream_name":"stdout","time":8612.960831232,"data":"📏 Validation Loss after Epoch 1: 2.6521\n"}
,{"stream_name":"stdout","time":8613.505799393,"data":"✅ Model saved to /kaggle/working/sam2_output/sam2-epoch6-best.safetensors\n"}
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,{"stream_name":"stdout","time":32339.972459903,"data":"📏 Validation Loss after Epoch 4: 2.5403\n"}
,{"stream_name":"stdout","time":32340.413684415,"data":"✅ Model saved to /kaggle/working/sam2_output/sam2-epoch9-best.safetensors\n"}
,{"stream_name":"stderr","time":32345.796775132,"data":"/usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"remove_papermill_header.RemovePapermillHeader\"] for containers is deprecated in traitlets 5.0. You can pass `--Exporter.preprocessors item` ... multiple times to add items to a list.\n"}
,{"stream_name":"stderr","time":32345.796811296,"data":"  warn(\n"}
,{"stream_name":"stderr","time":32345.835356895,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to notebook\n"}
,{"stream_name":"stderr","time":32346.54262609,"data":"[NbConvertApp] Writing 1202491 bytes to __notebook__.ipynb\n"}
,{"stream_name":"stderr","time":32347.785903565,"data":"/usr/local/lib/python3.11/dist-packages/traitlets/traitlets.py:2915: FutureWarning: --Exporter.preprocessors=[\"nbconvert.preprocessors.ExtractOutputPreprocessor\"] for containers is deprecated in traitlets 5.0. You can pass `--Exporter.preprocessors item` ... multiple times to add items to a list.\n"}
,{"stream_name":"stderr","time":32347.785942214,"data":"  warn(\n"}
,{"stream_name":"stderr","time":32347.817327107,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to html\n"}
,{"stream_name":"stderr","time":32348.763800173,"data":"[NbConvertApp] Writing 1304299 bytes to __results__.html\n"}
]