sam-cot-train.log

[{"stream_name":"stderr","time":6.077510969,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":6.077573129,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":6.077580731,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":6.077584761,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stderr","time":6.821225038,"data":"0.00s - Debugger warning: It seems that frozen modules are being used, which may\n"}
,{"stream_name":"stderr","time":6.821287926,"data":"0.00s - make the debugger miss breakpoints. Please pass -Xfrozen_modules=off\n"}
,{"stream_name":"stderr","time":6.821297829,"data":"0.00s - to python to disable frozen modules.\n"}
,{"stream_name":"stderr","time":6.821302124,"data":"0.00s - Note: Debugging will proceed. Set PYDEVD_DISABLE_FILE_VALIDATION=1 to disable this validation.\n"}
,{"stream_name":"stdout","time":11.668853425,"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[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m193.6/193.6 kB\u001b[0m \u001b[31m11.5 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\r\n"}
,{"stream_name":"stdout","time":13.541541636,"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":13.541598071,"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":13.541606099,"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":13.541613375,"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":13.541619909,"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":13.541626139,"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":13.541632231,"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":13.541639124,"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":13.541644894000001,"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":13.541651231,"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":13.541671951,"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":13.541678938,"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":13.541682739,"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":13.541686672,"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":13.541690836,"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":13.541694901,"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":23.739335987,"data":"\u001b[0m🚀 Resuming training from Hugging Face Hub: Smilyai-labs/Sam-2.5-PRO\n"}
,{"stream_name":"stdout","time":23.739374741,"data":"⚠️ Hugging Face token not found in secrets. Downloads may be rate-limited.\n"}
,{"stream_name":"stdout","time":38.821638308,"data":"✅ Model loaded successfully from sam2-epoch12-best.safetensors on the Hub\n"}
,{"stream_name":"stdout","time":38.821679004,"data":"🚀 Loading and preparing datasets...\n"}
,{"stream_name":"stdout","time":1108.221206503,"data":"💧 Adding Chain-of-Thought datasets...\n"}
,{"stream_name":"stdout","time":1197.507671926,"data":"✅ Datasets loaded. Training on 374410 examples, validating on 26929 examples.\n"}
,{"stream_name":"stdout","time":1202.567463106,"data":"✅ Previous best validation loss set to: 2.5403\n"}
,{"stream_name":"stdout","time":1202.567499986,"data":"\n"}
,{"stream_name":"stdout","time":1202.567507679,"data":"--- Starting New Training Epoch 1/3 (Overall Epoch 10) ---\n"}
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,{"stream_name":"stdout","time":1260.845543787,"data":"Epoch 1/3 | Step 300/46802 | Loss: 2.4364 | ETA: 9005.1s\n"}
,{"stream_name":"stdout","time":1279.819403657,"data":"Epoch 1/3 | Step 400/46802 | Loss: 1.7921 | ETA: 8942.2s\n"}
,{"stream_name":"stdout","time":1298.83234831,"data":"Epoch 1/3 | Step 500/46802 | Loss: 2.4364 | ETA: 8897.2s\n"}
,{"stream_name":"stdout","time":1317.76202304,"data":"Epoch 1/3 | Step 600/46802 | Loss: 1.9718 | ETA: 8857.4s\n"}
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,{"stream_name":"stdout","time":1374.793345352,"data":"Epoch 1/3 | Step 900/46802 | Loss: 2.5463 | ETA: 8774.6s\n"}
,{"stream_name":"stdout","time":1393.699322447,"data":"Epoch 1/3 | Step 1000/46802 | Loss: 2.4446 | ETA: 8746.4s\n"}
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,{"stream_name":"stdout","time":1450.512797111,"data":"Epoch 1/3 | Step 1300/46802 | Loss: 1.4144 | ETA: 8672.2s\n"}
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,{"stream_name":"stdout","time":1507.412511181,"data":"Epoch 1/3 | Step 1600/46802 | Loss: 2.3601 | ETA: 8607.5s\n"}
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,{"stream_name":"stdout","time":29190.851199625,"data":"📏 Validation Loss after Epoch 3: 2.4327\n"}
,{"stream_name":"stdout","time":29191.341047848,"data":"✅ Model saved to /kaggle/working/sam2_output/sam2-epoch12-best.safetensors\n"}
,{"stream_name":"stderr","time":29196.690457352,"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":29196.690499993,"data":"  warn(\n"}
,{"stream_name":"stderr","time":29196.72715583,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to notebook\n"}
,{"stream_name":"stderr","time":29197.457875812,"data":"[NbConvertApp] Writing 1344589 bytes to __notebook__.ipynb\n"}
,{"stream_name":"stderr","time":29198.728798587,"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":29198.728838827,"data":"  warn(\n"}
,{"stream_name":"stderr","time":29198.756114469,"data":"[NbConvertApp] Converting notebook __notebook__.ipynb to html\n"}
,{"stream_name":"stderr","time":29199.764530376,"data":"[NbConvertApp] Writing 1425749 bytes to __results__.html\n"}
]