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[{"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":1241.756579154,"data":"Epoch 1/3 | Step 200/46802 | Loss: 2.6630 | ETA: 9092.8s\n"}
,{"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"}
,{"stream_name":"stdout","time":1336.852649738,"data":"Epoch 1/3 | Step 700/46802 | Loss: 1.9888 | ETA: 8831.8s\n"}
,{"stream_name":"stdout","time":1355.850871711,"data":"Epoch 1/3 | Step 800/46802 | Loss: 2.1124 | ETA: 8804.5s\n"}
,{"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"}
,{"stream_name":"stdout","time":1412.631725044,"data":"Epoch 1/3 | Step 1100/46802 | Loss: 1.7069 | ETA: 8719.7s\n"}
,{"stream_name":"stdout","time":1431.515356428,"data":"Epoch 1/3 | Step 1200/46802 | Loss: 1.7750 | ETA: 8693.6s\n"}
,{"stream_name":"stdout","time":1450.512797111,"data":"Epoch 1/3 | Step 1300/46802 | Loss: 1.4144 | ETA: 8672.2s\n"}
,{"stream_name":"stdout","time":1469.522715064,"data":"Epoch 1/3 | Step 1400/46802 | Loss: 1.6019 | ETA: 8651.8s\n"}
,{"stream_name":"stdout","time":1488.459811578,"data":"Epoch 1/3 | Step 1500/46802 | Loss: 2.1525 | ETA: 8628.4s\n"}
,{"stream_name":"stdout","time":1507.412511181,"data":"Epoch 1/3 | Step 1600/46802 | Loss: 2.3601 | ETA: 8607.5s\n"}
,{"stream_name":"stdout","time":1526.365821515,"data":"Epoch 1/3 | Step 1700/46802 | Loss: 2.9226 | ETA: 8585.7s\n"}
,{"stream_name":"stdout","time":1545.263919681,"data":"Epoch 1/3 | Step 1800/46802 | Loss: 2.2017 | ETA: 8563.6s\n"}
,{"stream_name":"stdout","time":1564.219953032,"data":"Epoch 1/3 | Step 1900/46802 | Loss: 1.6649 | ETA: 8542.6s\n"}
,{"stream_name":"stdout","time":1583.140495976,"data":"Epoch 1/3 | Step 2000/46802 | Loss: 1.8016 | ETA: 8521.4s\n"}
,{"stream_name":"stdout","time":1602.331431508,"data":"Epoch 1/3 | Step 2100/46802 | Loss: 2.0363 | ETA: 8505.7s\n"}
,{"stream_name":"stdout","time":1621.373398487,"data":"Epoch 1/3 | Step 2200/46802 | Loss: 2.1485 | ETA: 8487.3s\n"}
,{"stream_name":"stdout","time":1640.542011776,"data":"Epoch 1/3 | Step 2300/46802 | Loss: 2.6146 | ETA: 8470.8s\n"}
,{"stream_name":"stdout","time":1659.504925502,"data":"Epoch 1/3 | Step 2400/46802 | Loss: 2.3043 | ETA: 8450.6s\n"}
,{"stream_name":"stdout","time":1678.637397928,"data":"Epoch 1/3 | Step 2500/46802 | Loss: 1.7902 | ETA: 8433.2s\n"}
,{"stream_name":"stdout","time":1697.52199976,"data":"Epoch 1/3 | Step 2600/46802 | Loss: 1.9979 | ETA: 8411.8s\n"}
,{"stream_name":"stdout","time":1716.438093759,"data":"Epoch 1/3 | Step 2700/46802 | Loss: 1.8360 | ETA: 8390.6s\n"}
,{"stream_name":"stdout","time":1735.343830985,"data":"Epoch 1/3 | Step 2800/46802 | Loss: 2.4776 | ETA: 8369.9s\n"}
,{"stream_name":"stdout","time":1754.381502929,"data":"Epoch 1/3 | Step 2900/46802 | Loss: 1.7042 | ETA: 8350.9s\n"}
,{"stream_name":"stdout","time":1773.26270634,"data":"Epoch 1/3 | Step 3000/46802 | Loss: 2.0596 | ETA: 8330.1s\n"}
,{"stream_name":"stdout","time":1792.474727666,"data":"Epoch 1/3 | Step 3100/46802 | Loss: 1.9333 | ETA: 8313.6s\n"}
,{"stream_name":"stdout","time":1811.361039727,"data":"Epoch 1/3 | Step 3200/46802 | Loss: 1.9797 | ETA: 8292.9s\n"}
,{"stream_name":"stdout","time":1830.316723907,"data":"Epoch 1/3 | Step 3300/46802 | Loss: 2.0903 | ETA: 8272.9s\n"}
,{"stream_name":"stdout","time":1849.20654893,"data":"Epoch 1/3 | Step 3400/46802 | Loss: 1.7909 | ETA: 8252.4s\n"}
,{"stream_name":"stdout","time":1868.084116375,"data":"Epoch 1/3 | Step 3500/46802 | Loss: 2.4252 | ETA: 8231.6s\n"}
,{"stream_name":"stdout","time":1887.036899435,"data":"Epoch 1/3 | Step 3600/46802 | Loss: 2.1271 | ETA: 8212.0s\n"}
,{"stream_name":"stdout","time":1905.937896705,"data":"Epoch 1/3 | Step 3700/46802 | Loss: 1.4579 | ETA: 8191.6s\n"}
,{"stream_name":"stdout","time":1924.811162844,"data":"Epoch 1/3 | Step 3800/46802 | Loss: 1.6589 | ETA: 8171.2s\n"}
,{"stream_name":"stdout","time":1943.731973668,"data":"Epoch 1/3 | Step 3900/46802 | Loss: 2.3826 | ETA: 8151.2s\n"}
,{"stream_name":"stdout","time":1962.635302625,"data":"Epoch 1/3 | Step 4000/46802 | Loss: 2.5774 | ETA: 8131.3s\n"}
,{"stream_name":"stdout","time":1981.571198543,"data":"Epoch 1/3 | Step 4100/46802 | Loss: 1.6832 | ETA: 8111.6s\n"}
,{"stream_name":"stdout","time":2000.491193879,"data":"Epoch 1/3 | Step 4200/46802 | Loss: 1.9790 | ETA: 8091.9s\n"}
,{"stream_name":"stdout","time":2019.442592702,"data":"Epoch 1/3 | Step 4300/46802 | Loss: 1.6483 | ETA: 8072.3s\n"}
,{"stream_name":"stdout","time":2038.713545839,"data":"Epoch 1/3 | Step 4400/46802 | Loss: 2.4037 | ETA: 8056.2s\n"}
,{"stream_name":"stdout","time":2057.643844809,"data":"Epoch 1/3 | Step 4500/46802 | Loss: 1.7159 | ETA: 8036.4s\n"}
,{"stream_name":"stdout","time":2076.507519434,"data":"Epoch 1/3 | Step 4600/46802 | Loss: 2.1423 | ETA: 8016.3s\n"}
,{"stream_name":"stdout","time":2095.529742745,"data":"Epoch 1/3 | Step 4700/46802 | Loss: 2.2366 | ETA: 7997.4s\n"}
,{"stream_name":"stdout","time":2114.422207053,"data":"Epoch 1/3 | Step 4800/46802 | Loss: 2.0846 | ETA: 7977.6s\n"}
,{"stream_name":"stdout","time":2133.360613492,"data":"Epoch 1/3 | Step 4900/46802 | Loss: 2.2180 | ETA: 7958.1s\n"}
,{"stream_name":"stdout","time":2152.208889315,"data":"Epoch 1/3 | Step 5000/46802 | Loss: 1.8887 | ETA: 7938.0s\n"}
,{"stream_name":"stdout","time":2171.100001429,"data":"Epoch 1/3 | Step 5100/46802 | Loss: 2.2773 | ETA: 7918.1s\n"}
,{"stream_name":"stdout","time":2189.969039594,"data":"Epoch 1/3 | Step 5200/46802 | Loss: 2.4281 | ETA: 7898.2s\n"}
,{"stream_name":"stdout","time":2208.851632128,"data":"Epoch 1/3 | Step 5300/46802 | Loss: 2.1077 | ETA: 7878.3s\n"}
,{"stream_name":"stdout","time":2228.591099827,"data":"Epoch 1/3 | Step 5400/46802 | Loss: 1.9566 | ETA: 7865.3s\n"}
,{"stream_name":"stdout","time":2247.55788748,"data":"Epoch 1/3 | Step 5500/46802 | Loss: 2.5339 | ETA: 7846.0s\n"}
,{"stream_name":"stdout","time":2266.720166645,"data":"Epoch 1/3 | Step 5600/46802 | Loss: 1.6035 | ETA: 7828.3s\n"}
,{"stream_name":"stdout","time":2285.66692105,"data":"Epoch 1/3 | Step 5700/46802 | Loss: 1.5508 | ETA: 7808.8s\n"}
,{"stream_name":"stdout","time":2304.690901521,"data":"Epoch 1/3 | Step 5800/46802 | Loss: 2.1223 | ETA: 7790.1s\n"}
,{"stream_name":"stdout","time":2323.652583928,"data":"Epoch 1/3 | Step 5900/46802 | Loss: 2.0124 | ETA: 7770.7s\n"}
,{"stream_name":"stdout","time":2342.603390018,"data":"Epoch 1/3 | Step 6000/46802 | Loss: 1.8731 | ETA: 7751.5s\n"}
,{"stream_name":"stdout","time":2361.545697734,"data":"Epoch 1/3 | Step 6100/46802 | Loss: 2.1248 | ETA: 7732.0s\n"}
,{"stream_name":"stdout","time":2380.493882369,"data":"Epoch 1/3 | Step 6200/46802 | Loss: 1.8944 | ETA: 7712.8s\n"}
,{"stream_name":"stdout","time":2399.438095492,"data":"Epoch 1/3 | Step 6300/46802 | Loss: 1.9547 | ETA: 7693.4s\n"}
,{"stream_name":"stdout","time":2418.364013724,"data":"Epoch 1/3 | Step 6400/46802 | Loss: 1.6891 | ETA: 7674.0s\n"}
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,{"stream_name":"stdout","time":29191.341047848,"data":"✅ Model saved to /kaggle/working/sam2_output/sam2-epoch12-best.safetensors\n"}
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