Image-Text-to-Text
PEFT
Safetensors
lora
qwen3_vl
cosmos-reason
nvidia-tao
manufacturing
visual-inspection
vision-language
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| <div class="hero"> | |
| <div class="eyebrow">Model training report · NVIDIA Cosmos 3 · TAO</div> | |
| <h1>Cosmos3-Nano LoRA fine-tune · vial-filling line inspection</h1> | |
| <p class="lede">Supervised fine-tuning of the Cosmos3-Nano-qwen3vl reasoner on synthetic vial-inspection conversations (color, fill level and plan compliance per vial), using NVIDIA TAO's cosmos-rl backend.</p> | |
| <div class="meta"><span class="pill"><i></i>Completed successfully</span><span><b>Run</b> cosmos3_nano_tube_lora_3044273</span><span><b>Model</b> Cosmos3-Nano-qwen3vl</span><span><b>Date</b> 2026-09-13</span><span><b>Cluster</b> lyris · gb200 · 1 node × 4 GB200 (arm64)</span><span><b>SLURM job</b> 3044273</span><span><b>Epochs</b> 5</span></div> | |
| </div> | |
| <nav><a href="#summary">Summary</a><a href="#accuracy">Accuracy</a><a href="#dynamics">Training dynamics</a><a href="#epochs">Per-epoch</a><a href="#optim">Optimization</a><a href="#insights">Insights</a><a href="#config">Configuration</a><a href="#repro">Reproduce</a><span class="sp"></span> | |
| <span class="controls" style="display:flex;gap:8px;align-items:center;color:var(--ink2)">Smoothing <select id="smooth"><option value="1">off</option><option value="5">5</option><option value="10" selected>10</option><option value="25">25</option></select> | |
| <label><input type="checkbox" id="logy"> log y</label><button id="view" aria-pressed="false">Data table</button><button id="theme">Theme</button></span></nav> | |
| <main> | |
| <section id="summary"><h2>Executive summary</h2><div class="card"><p class="summary" style="margin:0">On 300 held-out validation questions the fine-tuned model answered <b>96.7%</b> correctly versus 51.0% for the untuned base model. <b>Cosmos3-Nano-qwen3vl</b> was fine-tuned with LoRA (rank 16, targets q_proj, k_proj, v_proj, o_proj) for 5 epochs, 625 optimizer steps, on 4 GPUs. Training loss fell from 0.290 at the first step to a steady 0.0328 over the final tenth of training (-89%). Validation loss improved every epoch, ending at 0.0353 (best 0.0353); the best checkpoint is <b>epoch_5</b>. The last epoch changed validation loss by under 5%, so the run has essentially converged; additional epochs would bring little. The job completed in 24 minutes of wall time.</p></div></section> | |
| <section><div class="kpis" id="kpis"></div></section> | |
| <section id="accuracy"><h2>Task accuracy on held-out data</h2> | |
| <div class="card"><h3>Accuracy by question type</h3><p class="sub">300 validation samples, 5 question types, greedy decoding. On 300 held-out validation questions the fine-tuned model answered 96.7% correctly versus 51.0% for the untuned base model.</p><div class="legend"><span><i class="sw" style="background:var(--s1)"></i>fine-tuned (LoRA epoch 5)</span><span><i class="sw" style="background:var(--s2);opacity:.6"></i>base model (zero-shot) (thin bar)</span></div><div class="bars"><div class="bar"><div class="lbl">Content of one vial<span class="tag">n=60</span></div><div class="trk"><div class="fill" style="width:100.0%;background:var(--s1)"></div><div class="fill b" style="width:68.3%;background:var(--s2)"></div></div><div class="val">100.0%</div></div><div class="bar"><div class="lbl">Vial count<span class="tag">n=60</span></div><div class="trk"><div class="fill" style="width:100.0%;background:var(--s1)"></div><div class="fill b" style="width:100.0%;background:var(--s2)"></div></div><div class="val">100.0%</div></div><div class="bar"><div class="lbl">List all deviating positions<span class="tag">n=60</span></div><div class="trk"><div class="fill" style="width:88.3%;background:var(--s1)"></div><div class="fill b" style="width:10.0%;background:var(--s2)"></div></div><div class="val">88.3%</div></div><div class="bar"><div class="lbl">Vial matches plan (yes/no)<span class="tag">n=60</span></div><div class="trk"><div class="fill" style="width:100.0%;background:var(--s1)"></div><div class="fill b" style="width:76.7%;background:var(--s2)"></div></div><div class="val">100.0%</div></div><div class="bar"><div class="lbl">Full JSON inspection report<span class="tag">n=60</span></div><div class="trk"><div class="fill" style="width:95.0%;background:var(--s1)"></div><div class="fill b" style="width:0.0%;background:var(--s2)"></div></div><div class="val">95.0%</div></div></div></div> | |
| <div class='card' style='margin-top:16px'><h3>Inspection-report field accuracy</h3><p class='sub'>Per-field scoring of the JSON report answers.</p><table><thead><tr><th>Report field</th><th class="n">fine-tuned (LoRA epoch 5)</th><th class="n">base model (zero-shot)</th></tr></thead><tbody><tr><td>Valid JSON returned</td><td class="n">100.0%</td><td class="n">100.0%</td></tr><tr><td>Per-vial content</td><td class="n">99.7%</td><td class="n">15.8%</td></tr><tr><td>Per-vial status</td><td class="n">99.2%</td><td class="n">85.2%</td></tr><tr><td>Fill level within 10 pts</td><td class="n">99.0%</td><td class="n">48.7%</td></tr><tr><td>Deviating set exact</td><td class="n">96.7%</td><td class="n">40.0%</td></tr><tr><td>Pass / fail verdict</td><td class="n">100.0%</td><td class="n">51.7%</td></tr></tbody></table><p class="sub" style="margin:8px 0 0">Over 60 reports covering 398 vials.</p></div> | |
| <div style='margin-top:16px'><h2>Where it still fails · 10 of 300</h2><div class='gallery'><div class="fail"><img 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" alt="images/vials_val_00001.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00001.png</div><div class="row"><span class="k">expected</span><span>1,3,4,5</span></div><div class="row"><span class="k">predicted</span><span>1,3,4</span></div><div class="why">missed pos 5: overfill (blue, fill 80%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00029.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00029.png</div><div class="row"><span class="k">expected</span><span>4,7,8</span></div><div class="row"><span class="k">predicted</span><span>4,7</span></div><div class="why">missed pos 8: overfill (yellow, fill 76%)</div></div></div><div class="fail"><img src="data:image/jpeg;base64,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" alt="images/vials_val_00032.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00032.png</div><div class="row"><span class="k">expected</span><span>5,6</span></div><div class="row"><span class="k">predicted</span><span>6</span></div><div class="why">missed pos 5: overfill (clear, fill 61%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00041.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00041.png</div><div class="row"><span class="k">expected</span><span>4</span></div><div class="row"><span class="k">predicted</span><span>none</span></div><div class="why">missed pos 4: overfill (clear, fill 79%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00055.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00055.png</div><div class="row"><span class="k">expected</span><span>4,6</span></div><div class="row"><span class="k">predicted</span><span>6</span></div><div class="why">missed pos 4: overfill (clear, fill 66%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00056.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00056.png</div><div class="row"><span class="k">expected</span><span>1,2,3,4,8</span></div><div class="row"><span class="k">predicted</span><span>1,4,8</span></div><div class="why">missed pos 2: overfill (red, fill 78%); pos 3: overfill (blue, fill 65%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00059.png"><div class="b"><div class="cat">List all deviating positions · vials_val_00059.png</div><div class="row"><span class="k">expected</span><span>4,5</span></div><div class="row"><span class="k">predicted</span><span>4</span></div><div class="why">missed pos 5: underfill (clear, fill 10%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00004.png"><div class="b"><div class="cat">Full JSON inspection report · vials_val_00004.png</div><div class="row"><span class="k">expected</span><span>JSON report (see diagnosis)</span></div><div class="row"><span class="k">predicted</span><span>JSON report</span></div><div class="why">pos 1 actual: predicted empty vs clear (fill 5%); pos 1 status: predicted empty vs underfill (fill 5%)</div></div></div><div class="fail"><img 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" alt="images/vials_val_00017.png"><div class="b"><div class="cat">Full JSON inspection report · vials_val_00017.png</div><div class="row"><span class="k">expected</span><span>JSON report (see diagnosis)</span></div><div class="row"><span class="k">predicted</span><span>JSON report</span></div><div class="why">pos 7 status: predicted OK vs overfill (fill 75%); deviating set [8] vs [7, 8]</div></div></div><div class="fail"><img src="data:image/jpeg;base64,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" alt="images/vials_val_00055.png"><div class="b"><div class="cat">Full JSON inspection report · vials_val_00055.png</div><div class="row"><span class="k">expected</span><span>JSON report (see diagnosis)</span></div><div class="row"><span class="k">predicted</span><span>JSON report</span></div><div class="why">pos 4 status: predicted OK vs overfill (fill 66%); deviating set [6] vs [4, 6]</div></div></div></div></div> | |
| </section> | |
| <section id="dynamics"><h2>Training dynamics</h2><div class="card" id="hero"></div></section> | |
| <section id="epochs"><h2>Per-epoch results</h2><div class="card"><table id="eptable"></table></div></section> | |
| <section id="optim"><h2>Optimization health</h2><div class="two" id="small"></div></section> | |
| <section id="insights"><h2>Insights</h2><div class="card"><ul class="ins" id="ins"></ul></div></section> | |
| <section id="tables" class="hidden"><h2>Metrics by step</h2><div class="card scroll" id="tbl"></div></section> | |
| <section id="config"><h2>Run configuration</h2><div class="card scroll"><table id="cfg"></table></div></section> | |
| <section id="repro"><h2>Reproduce</h2><div class="card"><p class="sub">Commands used for this run (see README for the full runbook).</p><pre>export ACCOUNT=general_sa PARTITION=gb200 LUSTRE_DIR=/lustre/fsw/general_sa/$USER | |
| cd $LUSTRE_DIR/cosmos3tao/repo && git pull | |
| bash cluster/ptyche_setup.sh # dataset, model download, container .sqsh (once) | |
| bash cluster/ptyche_prepare_model.sh # Cosmos3-Nano omni -> Qwen3-VL checkpoint (once) | |
| sbatch --account=$ACCOUNT --partition=$PARTITION --export=ALL,ACCOUNT=$ACCOUNT,LUSTRE_DIR=$LUSTRE_DIR \ | |
| --output=$LUSTRE_DIR/cosmos3tao/logs/%x-%j.out --error=$LUSTRE_DIR/cosmos3tao/logs/%x-%j.err cluster/ptyche_train.sbatch | |
| python report/make_report.py --log results/train.log --spec results/train_spec.yaml --out report.html</pre></div></section> | |
| </main> | |
| <footer>Generated 2026-09-13 18:58 from train.log (1,939 lines) · cosmos3tao</footer> | |
| <div class="tip" id="tip"></div> | |
| <script> | |
| const D={"metrics": {"loss": [[1, 0.28958], [2, 0.67411], [3, 0.58097], [4, 0.23406], [5, 0.17718], [6, 0.64366], [7, 0.24619], [8, 0.2241], [9, 1.06579], [10, 0.38457], [11, 0.66164], [12, 0.26831], [13, 0.32496], [14, 0.21636], [15, 0.21921], [16, 0.23978], [17, 0.62488], [18, 0.71364], [19, 0.44889], [20, 0.2493], [21, 0.46861], [22, 0.46032], [23, 0.20397], [24, 0.60671], [25, 0.24502], [26, 0.19992], [27, 0.23994], [28, 0.21688], [29, 0.45706], [30, 0.2678], [31, 0.25966], [32, 0.4789], [33, 0.38446], [34, 0.79794], [35, 0.35812], [36, 0.21525], [37, 0.54355], [38, 0.2529], [39, 0.39225], [40, 0.21517], [41, 0.21921], [42, 0.24437], [43, 0.206], [44, 0.26549], [45, 0.38684], [46, 0.34654], [47, 0.41966], [48, 0.21967], [49, 0.17415], [50, 0.17096], [51, 0.35036], [52, 0.49667], [53, 0.17949], [54, 0.23985], [55, 0.17325], [56, 0.16404], [57, 0.16922], [58, 0.17917], [59, 0.35501], [60, 0.13708], [61, 0.23143], [62, 0.29965], [63, 0.30067], [64, 0.17001], [65, 0.15404], [66, 0.13008], [67, 0.21245], [68, 0.1399], [69, 0.18695], [70, 0.162], [71, 0.25208], [72, 0.25495], [73, 0.39194], [74, 0.24296], [75, 0.14832], [76, 0.31956], [77, 0.27275], [78, 0.22446], [79, 0.30773], [80, 0.19809], [81, 0.38279], [82, 0.14151], [83, 0.12111], [84, 0.26059], [85, 0.13018], [86, 0.23134], [87, 0.19711], [88, 0.12954], [89, 0.47988], [90, 0.38516], [91, 0.10555], [92, 0.11173], [93, 0.11765], [94, 0.17694], [95, 0.10685], [96, 0.1093], [97, 0.12094], [98, 0.25197], [99, 0.12617], [100, 0.12377], [101, 0.12877], [102, 0.12942], [103, 0.2829], [104, 0.11274], [105, 0.18507], [106, 0.09997], [107, 0.24964], [108, 0.23081], [109, 0.17089], [110, 0.22539], [111, 0.12711], [112, 0.11872], [113, 0.08555], [114, 0.12923], [115, 0.09299], [116, 0.16577], [117, 0.11007], [118, 0.08229], [119, 0.10778], [120, 0.25033], [121, 0.09749], [122, 0.10387], [123, 0.33932], [124, 0.08758], [126, 0.10797], [127, 0.21481], [128, 0.09492], [129, 0.20744], [130, 0.08195], [131, 0.09526], [132, 0.09061], [133, 0.12506], [134, 0.25919], [135, 0.09045], [136, 0.1897], [137, 0.0726], [138, 0.09732], [139, 0.07883], [140, 0.17865], [141, 0.17628], [142, 0.09963], [143, 0.07629], [144, 0.19858], [145, 0.1262], [146, 0.09303], [147, 0.07916], [148, 0.11788], [149, 0.09055], [150, 0.08984], [151, 0.08325], [152, 0.11855], [153, 0.13139], [154, 0.13441], [155, 0.09745], [156, 0.07992], [157, 0.14376], [158, 0.05726], [159, 0.14822], [160, 0.06435], [161, 0.08044], [162, 0.13355], [163, 0.05865], [164, 0.06719], [165, 0.08805], [166, 0.14522], [167, 0.16412], [168, 0.18442], [169, 0.05133], [170, 0.06318], [171, 0.07254], [172, 0.11729], [173, 0.068], [174, 0.08326], [175, 0.06699], [176, 0.13772], [177, 0.2062], [178, 0.06621], [179, 0.06137], [180, 0.09357], [181, 0.07023], [182, 0.06999], [183, 0.06667], [184, 0.13833], [185, 0.05326], [186, 0.0653], [187, 0.13358], [188, 0.06967], [189, 0.15832], [190, 0.12332], [191, 0.05419], [192, 0.06244], [193, 0.07022], [194, 0.15366], [195, 0.07355], [196, 0.05701], [197, 0.20647], [198, 0.1757], [199, 0.11973], [200, 0.08187], [201, 0.06168], [202, 0.12725], [203, 0.05795], [204, 0.07], [205, 0.07098], [206, 0.08815], [207, 0.05058], [208, 0.0624], [209, 0.05668], [210, 0.06057], [211, 0.05911], [212, 0.12762], [213, 0.16862], [214, 0.08659], [215, 0.05834], [216, 0.0546], [217, 0.05665], [218, 0.04419], [219, 0.05841], [220, 0.07125], [221, 0.05813], [222, 0.14253], [223, 0.06825], [224, 0.07014], [225, 0.06657], [226, 0.05857], [227, 0.05689], [228, 0.05108], [229, 0.0579], [230, 0.14983], [231, 0.17362], [232, 0.16179], [233, 0.06644], [234, 0.15211], [235, 0.04712], [236, 0.05215], [237, 0.04989], [238, 0.0614], [239, 0.04831], [240, 0.14717], [241, 0.05772], [242, 0.04728], [243, 0.05026], [244, 0.1023], [245, 0.04246], [246, 0.05281], [247, 0.26192], [248, 0.21322], [249, 0.05504], [251, 0.07076], [252, 0.10568], [253, 0.05488], [254, 0.08064], [255, 0.05348], [256, 0.14001], [257, 0.06696], [258, 0.05974], [259, 0.05971], [260, 0.05695], [261, 0.0425], [262, 0.04397], [263, 0.04847], [264, 0.05406], [265, 0.12013], [266, 0.15663], [267, 0.06905], [268, 0.05317], [269, 0.03993], [270, 0.16399], [271, 0.04576], [272, 0.04484], [273, 0.045], [274, 0.06593], [275, 0.04614], [276, 0.18925], [277, 0.07145], [278, 0.04034], [279, 0.04644], [280, 0.10787], [281, 0.08317], [282, 0.07575], [283, 0.03994], [284, 0.1119], [285, 0.05834], [286, 0.0498], [287, 0.05474], [288, 0.11806], [289, 0.05143], [290, 0.056], [291, 0.05237], [292, 0.06438], [293, 0.04711], [294, 0.02621], [295, 0.05968], [296, 0.061], [297, 0.03335], [298, 0.06437], [299, 0.03655], [300, 0.04855], [301, 0.0692], [302, 0.04911], [303, 0.11681], [304, 0.047], [305, 0.04025], [306, 0.04006], [307, 0.04717], [308, 0.04466], [309, 0.04288], [310, 0.04685], [311, 0.04652], [312, 0.14778], [313, 0.03605], [314, 0.05421], [315, 0.04002], [316, 0.04146], [317, 0.05794], [318, 0.04844], [319, 0.0567], [320, 0.05356], [321, 0.16066], [322, 0.04888], [323, 0.10596], [324, 0.09341], [325, 0.05651], [326, 0.04536], [327, 0.20997], [328, 0.03832], [329, 0.13702], [330, 0.04124], [331, 0.0868], [332, 0.05288], [333, 0.03663], [334, 0.08623], [335, 0.04183], [336, 0.0405], [337, 0.12884], [338, 0.07928], [339, 0.04708], [340, 0.04181], [341, 0.12881], [342, 0.03431], [343, 0.04593], [344, 0.03231], [345, 0.08544], [346, 0.04123], [347, 0.04412], [348, 0.03634], [349, 0.05136], [350, 0.04095], [351, 0.04912], [352, 0.04303], [353, 0.05497], [354, 0.0439], [355, 0.03888], [356, 0.02854], [357, 0.07042], [358, 0.03512], [359, 0.06816], [360, 0.03148], [361, 0.04654], [362, 0.10082], [363, 0.02482], [364, 0.04223], [365, 0.14163], [366, 0.15083], [367, 0.09903], [368, 0.03405], [369, 0.04525], [370, 0.05094], [371, 0.05038], [372, 0.04098], [373, 0.03839], [374, 0.05729], [376, 0.04966], [377, 0.04169], [378, 0.04811], [379, 0.04588], [380, 0.04278], [381, 0.056], [382, 0.05898], [383, 0.04668], [384, 0.0309], [385, 0.05523], [386, 0.0301], [387, 0.04342], [388, 0.03009], [389, 0.07613], [390, 0.1287], [391, 0.02045], [392, 0.05063], [393, 0.0385], [394, 0.04763], [395, 0.04196], [396, 0.04073], [397, 0.04087], [398, 0.02302], [399, 0.03186], [400, 0.04549], [401, 0.04051], [402, 0.03121], [403, 0.04273], [404, 0.04242], [405, 0.04007], [406, 0.04872], [407, 0.03713], [408, 0.03904], [409, 0.02871], [410, 0.03958], [411, 0.03266], [412, 0.03582], [413, 0.02407], [414, 0.02555], [415, 0.03831], [416, 0.03206], [417, 0.03617], [418, 0.03565], [419, 0.10823], [420, 0.07118], [421, 0.03796], [422, 0.02379], [423, 0.06497], [424, 0.04015], [425, 0.03696], [426, 0.02724], [427, 0.04036], [428, 0.0324], [429, 0.03705], [430, 0.03589], [431, 0.0379], [432, 0.05673], [433, 0.04064], [434, 0.03373], [435, 0.01677], [436, 0.03974], [437, 0.03415], [438, 0.02993], [439, 0.07928], [440, 0.04536], [441, 0.04679], [442, 0.03478], [443, 0.03182], [444, 0.03228], [445, 0.03964], [446, 0.05763], [447, 0.03412], [448, 0.03636], [449, 0.04966], [450, 0.03962], [451, 0.03264], [452, 0.03535], [453, 0.15098], [454, 0.12146], [455, 0.03385], [456, 0.03417], [457, 0.03346], [458, 0.02382], [459, 0.03214], [460, 0.03584], [461, 0.02482], [462, 0.0735], [463, 0.02983], [464, 0.02812], [465, 0.09404], [466, 0.02702], [467, 0.04694], [468, 0.05114], [469, 0.0378], [470, 0.02841], [471, 0.03098], [472, 0.03085], [473, 0.04256], [474, 0.02947], [475, 0.04108], [476, 0.04809], [477, 0.03231], [478, 0.0342], [479, 0.02099], [480, 0.03177], [481, 0.03899], [482, 0.02984], [483, 0.04955], [484, 0.02651], [485, 0.02215], [486, 0.02948], [487, 0.03039], [488, 0.04008], [489, 0.04043], [490, 0.02624], [491, 0.07163], [492, 0.0378], [493, 0.01886], [494, 0.03384], [495, 0.02897], [496, 0.03408], [497, 0.02817], [498, 0.04098], [499, 0.02133], [501, 0.0329], [502, 0.07934], [503, 0.0299], [504, 0.02638], [505, 0.01876], [506, 0.01674], [507, 0.0361], [508, 0.03357], [509, 0.03215], [510, 0.02864], [511, 0.02854], [512, 0.0328], [513, 0.03106], [514, 0.0305], [515, 0.04148], [516, 0.02239], [517, 0.02864], [518, 0.0193], [519, 0.03306], [520, 0.02559], [521, 0.03433], [522, 0.10748], [523, 0.03526], [524, 0.04205], [525, 0.03128], [526, 0.03362], [527, 0.02439], [528, 0.02497], [529, 0.03695], [530, 0.03282], [531, 0.06621], [532, 0.02989], [533, 0.03535], [534, 0.02652], [535, 0.0194], [536, 0.03545], [537, 0.02553], [538, 0.05394], [539, 0.04002], [540, 0.03271], [541, 0.03327], [542, 0.03383], [543, 0.03446], [544, 0.03748], [545, 0.02812], [546, 0.03233], [547, 0.02663], [548, 0.03156], [549, 0.01457], [550, 0.03772], [551, 0.02831], [552, 0.0358], [553, 0.02583], [554, 0.03111], [555, 0.03405], [556, 0.02746], [557, 0.03038], [558, 0.02893], [559, 0.02545], [560, 0.02834], [561, 0.01893], [562, 0.03105], [563, 0.02134], [564, 0.0245], [565, 0.02842], [566, 0.02742], [567, 0.02898], [568, 0.03004], [569, 0.0293], [570, 0.03494], [571, 0.02047], [572, 0.03807], [573, 0.03484], [574, 0.02017], [575, 0.0239], [576, 0.03332], [577, 0.02022], [578, 0.03404], [579, 0.03098], [580, 0.03463], [581, 0.03418], [582, 0.03509], [583, 0.03433], [584, 0.03403], [585, 0.02873], [586, 0.02619], [587, 0.02933], [588, 0.01749], [589, 0.08947], [590, 0.02105], [591, 0.03408], [592, 0.04925], [593, 0.02373], [594, 0.01703], [595, 0.0276], [596, 0.03515], [597, 0.05254], [598, 0.03492], [599, 0.0754], [600, 0.02469], [601, 0.03053], [602, 0.02054], [603, 0.03532], [604, 0.02963], [605, 0.01253], [606, 0.024], [607, 0.0209], [608, 0.0111], [609, 0.029], [610, 0.02338], [611, 0.02727], [612, 0.05415], [613, 0.02745], [614, 0.02398], [615, 0.00663], [616, 0.03636], [617, 0.02616], [618, 0.03333], [619, 0.12781], [620, 0.02977], [621, 0.04802], [622, 0.03192], [623, 0.04346], [624, 0.03744]], "grad_norm": [[1, 0.60693], [2, 1.55126], [3, 2.71816], [4, 0.48415], [5, 0.40752], [6, 1.90254], [7, 0.45893], [8, 0.45071], [9, 5.07941], [10, 1.33465], [11, 2.4425], [12, 0.5242], [13, 0.89387], [14, 0.42735], [15, 0.48337], [16, 0.53185], [17, 1.88351], [18, 2.1279], [19, 1.85761], [20, 0.56462], [21, 1.49668], [22, 1.55845], [23, 0.40626], [24, 1.99334], [25, 0.50747], [26, 0.43497], [27, 0.49971], [28, 0.42632], [29, 1.82169], [30, 0.51345], [31, 0.58171], [32, 1.83603], [33, 1.0974], [34, 2.98309], [35, 1.51596], [36, 0.55286], [37, 2.24031], [38, 0.62264], [39, 1.94353], [40, 0.55766], [41, 0.49512], [42, 0.53954], [43, 0.4582], [44, 0.81108], [45, 1.18237], [46, 1.33231], [47, 2.89474], [48, 0.46114], [49, 0.37925], [50, 0.40128], [51, 2.02348], [52, 2.19272], [53, 0.39589], [54, 0.88797], [55, 0.34967], [56, 0.35488], [57, 0.30031], [58, 0.30372], [59, 0.90407], [60, 0.25775], [61, 0.90856], [62, 0.95071], [63, 0.78592], [64, 0.2958], [65, 0.21644], [66, 0.25233], [67, 0.53229], [68, 0.24185], [69, 0.68836], [70, 0.23444], [71, 0.5974], [72, 0.94454], [73, 1.19247], [74, 0.78046], [75, 0.42036], [76, 0.6772], [77, 0.68023], [78, 0.92464], [79, 1.04373], [80, 0.68037], [81, 0.83253], [82, 0.1871], [83, 0.16532], [84, 0.56718], [85, 0.20692], [86, 0.66026], [87, 0.55379], [88, 0.52206], [89, 1.81147], [90, 1.61775], [91, 0.18963], [92, 0.21389], [93, 0.1644], [94, 0.94581], [95, 0.14289], [96, 0.14494], [97, 0.13217], [98, 1.02921], [99, 0.65057], [100, 0.27977], [101, 0.20348], [102, 0.19127], [103, 1.08005], [104, 0.14378], [105, 0.39201], [106, 0.19318], [107, 1.25958], [108, 2.11285], [109, 0.46896], [110, 1.32964], [111, 0.17807], [112, 0.22318], [113, 0.11675], [114, 0.69297], [115, 0.38123], [116, 0.54754], [117, 0.15585], [118, 0.13012], [119, 0.15735], [120, 0.65244], [121, 0.18985], [122, 0.25008], [123, 1.11031], [124, 0.17924], [126, 0.23929], [127, 0.7885], [128, 0.32445], [129, 0.94405], [130, 0.12509], [131, 0.1853], [132, 0.2144], [133, 0.62946], [134, 1.24], [135, 0.56146], [136, 0.77397], [137, 0.20315], [138, 0.22567], [139, 0.18722], [140, 0.84126], [141, 1.48198], [142, 0.43], [143, 0.14514], [144, 1.5985], [145, 0.70074], [146, 0.18725], [147, 0.19367], [148, 0.76786], [149, 0.20269], [150, 0.33801], [151, 0.21236], [152, 0.66017], [153, 1.14039], [154, 0.77741], [155, 0.21817], [156, 0.16564], [157, 0.97234], [158, 0.14574], [159, 0.71062], [160, 0.18541], [161, 0.71788], [162, 1.14435], [163, 0.17628], [164, 0.1579], [165, 0.203], [166, 1.26799], [167, 2.34063], [168, 1.29342], [169, 0.28605], [170, 0.12863], [171, 0.21416], [172, 1.95793], [173, 0.32662], [174, 0.76151], [175, 0.18062], [176, 1.09374], [177, 2.82925], [178, 0.38112], [179, 0.88353], [180, 0.36506], [181, 0.2012], [182, 0.28421], [183, 0.16897], [184, 2.14151], [185, 0.16735], [186, 0.15687], [187, 1.46176], [188, 1.67838], [189, 3.11388], [190, 1.01389], [191, 0.21663], [192, 0.17077], [193, 0.19822], [194, 1.18112], [195, 0.47775], [196, 0.15737], [197, 3.69572], [198, 1.74888], [199, 1.60512], [200, 0.8057], [201, 0.27115], [202, 2.25584], [203, 0.4976], [204, 0.45391], [205, 0.2724], [206, 1.5928], [207, 0.19775], [208, 0.19774], [209, 0.47556], [210, 0.16307], [211, 0.52648], [212, 2.35433], [213, 2.1647], [214, 0.38951], [215, 0.38673], [216, 0.89094], [217, 0.16593], [218, 0.51954], [219, 0.28446], [220, 0.3138], [221, 0.2182], [222, 1.45451], [223, 0.30154], [224, 0.19501], [225, 0.26502], [226, 0.16683], [227, 0.19707], [228, 0.34436], [229, 0.17995], [230, 2.28843], [231, 1.49587], [232, 2.68334], [233, 0.2537], [234, 1.46739], [235, 0.20767], [236, 0.1826], [237, 0.18109], [238, 0.17849], [239, 0.14541], [240, 1.40936], [241, 0.19255], [242, 0.16979], [243, 0.30587], [244, 1.27342], [245, 0.19428], [246, 0.23337], [247, 2.73716], [248, 2.04318], [249, 0.72519], [251, 1.08065], [252, 5.27414], [253, 0.20037], [254, 0.94795], [255, 0.20301], [256, 1.35068], [257, 0.29385], [258, 0.18518], [259, 0.26351], [260, 0.23694], [261, 0.6051], [262, 0.16377], [263, 0.26476], [264, 0.22193], [265, 1.03752], [266, 1.20848], [267, 1.19738], [268, 0.21056], [269, 0.22848], [270, 1.89971], [271, 0.18654], [272, 0.16851], [273, 0.17743], 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"minutes": 4.283333333333333, "val_delta_pct": null}, {"epoch": 2, "steps": "126\u2013250", "train_mean": 0.09933943548387096, "train_last": 0.05504, "val": 0.05635271954536438, "minutes": 4.233333333333333, "val_delta_pct": -41.96715687943611}, {"epoch": 3, "steps": "251\u2013375", "train_mean": 0.06507991935483871, "train_last": 0.05729, "val": 0.04254258763790131, "minutes": 4.216666666666667, "val_delta_pct": -24.50659350405584}, {"epoch": 4, "steps": "376\u2013500", "train_mean": 0.04158032258064517, "train_last": 0.02133, "val": 0.03668728721141815, "minutes": 4.3, "val_delta_pct": -13.763385707329782}, {"epoch": 5, "steps": "501\u2013625", "train_mean": 0.03292064516129032, "train_last": 0.03744, "val": 0.03531059700250626, "minutes": 4.233333333333333, "val_delta_pct": -3.7524993357465486}], "kpis": [{"label": "Task accuracy", "value": "96.7%", "sub": "300 held-out questions", "delta": "+46 pts vs base model", "tone": "good"}, {"label": "Best validation loss", "value": "0.0353", "sub": "epoch 5 \u00b7 step 625", "delta": "-64% vs first epoch", "tone": "good"}, {"label": "Training loss", "value": "0.0328", "sub": "mean of final 10% of steps", "delta": "-92% vs first 5%", "tone": "good"}, {"label": "Generalization gap", "value": "+0.0026", "sub": "final val \u2212 train loss", "delta": "healthy", "tone": "good"}, {"label": "Optimizer steps", "value": "625", "sub": "5 epochs \u00b7 batch 8 per replica", "delta": "", "tone": ""}, {"label": "Wall time", "value": "0h 24m", "sub": "2.03 s / step median", "delta": "26.9 steps/min", "tone": ""}, {"label": "Compute", "value": "4 GPUs", "sub": "FSDP shard \u00b7 bfloat16", "delta": "", "tone": ""}], "insights": ["All 10 evaluation misses are under-detections: 9 of 11 missed defects are <b>overfill</b> and 7 involve <b>clear</b> liquid, which is hardest to see against the glass. Wrong color, wrong content, empty vials and counting were caught every time.", "Improvement levers: more overfill and clear-liquid examples in the synthetic set, a higher image pixel budget so the meniscus is sharper, or a fill-level tick scale on the vial rendering.", "Every JSON report was well-formed, so the output can be consumed by a line controller without a repair step.", "Learning-rate warm-up reached the peak of 2.00e-05 at step 124, then decayed toward 1.61e-07.", "Gradient norm settled at a median of 0.435; 123 steps exceeded 3\u00d7 the median (steps 2, 3, 6, 9, 10, 11\u2026).", "Step time was stable at a median 2.03 s (1.97\u20134.93 s), i.e. no data-loading stalls.", "5 epoch checkpoints were written with safetensors exports; the best-scoring one is promoted to <code>output/best</code>.", "Validation loss tracks training loss closely, so the adapter is generalizing rather than memorizing the synthetic set.", "Next step: evaluate the best checkpoint on the held-out split and on real plant photos, and compare against the zero-shot baseline."], "lr_key": "optimizer/lr_model.language_model", "clip": 1.0, "config": [["policy.model_name_or_path", "/tao-workspace/models/Cosmos3-Nano-qwen3vl"], ["policy.lora.r", "16"], ["policy.lora.lora_alpha", "32"], ["policy.lora.lora_dropout", "0.05"], ["policy.lora.target_modules", "['q_proj', 'k_proj', 'v_proj', 'o_proj']"], ["train.epoch", "5"], ["train.train_batch_per_replica", "8"], ["train.train_policy.mini_batch", "2"], ["train.optm_name", "AdamW"], ["train.optm_lr", "2e-05"], ["train.optm_weight_decay", "0.01"], ["train.optm_warmup_epochs", "0.2"], ["train.optm_min_lr_factor", "0.1"], ["train.optm_grad_norm_clip", "1"], ["policy.model_max_length", "8192"], ["policy.model_gradient_checkpointing", "True"], ["policy.parallelism.dp_shard_size", "4"], ["train.param_dtype", "bfloat16"], ["train.master_dtype", "float32"], ["custom.vision.total_pixels", "313600"], ["custom.dataset.annotation_path", "/tao-workspace/data/tube_inspection/train/annotations.json"], ["custom.val_dataset.annotation_path", "/tao-workspace/data/tube_inspection/val/annotations.json"], ["validation.freq_in_epoch", "1"], ["train.ckpt.save_freq_in_epoch", "1"], ["train.ckpt.max_keep", "3"], ["results_dir", "/tao-workspace/results/cosmos3_nano_tube_lora_3044273"], ["custom.dataset.media_path", "/tao-workspace/data/tube_inspection/train"], ["custom.dataset.system_prompt", ""], ["custom.train_dataset.annotation_path", "/tao-workspace/data/tube_inspection/train/annotations.json"], ["custom.train_dataset.media_path", "/tao-workspace/data/tube_inspection/train"], ["custom.val_dataset.media_path", "/tao-workspace/data/tube_inspection/val"], ["custom.vision.fps", "1"], ["logging.experiment_name", "cosmos3_nano_tube_lora_3044273"], ["logging.project_name", "cosmos3-tube-inspection"], ["policy.lora.init_lora_weights", "True"], ["policy.lora.use_rslora", "False"], ["policy.parallelism.cp_rotate_method", "allgather"], ["policy.parallelism.cp_size", "1"], ["policy.parallelism.dp_replicate_size", "1"], ["policy.parallelism.n_init_replicas", "1"], ["policy.parallelism.pp_size", "1"], ["policy.parallelism.tp_size", "1"], ["redis", "12800"], ["train.async_tp_enabled", "False"], ["train.ckpt.enable_checkpoint", "True"], ["train.ckpt.export_safetensors", "True"], ["train.ckpt.save_mode", "sync"], ["train.compile", "False"], ["train.epsilon", "1e-08"], ["train.fp8.enable_fp8", "False"], ["train.fp8.fp8_recipe", "dynamic_scaling"], ["train.fp8.quant_recipe", "rowwise"], ["train.fsdp_offload", "False"], ["train.fsdp_reduce_dtype", "float32"], ["train.fsdp_reshard_after_forward", "default"], ["train.optm_impl", "foreach"], ["train.output_dir", "/tao-workspace/results/cosmos3_nano_tube_lora_3044273/output"], ["train.resume", "False"], ["train.sync_weight_interval", "1"], ["train.train_policy.conversation_column_name", "conversations"], ["train.train_policy.dataloader_num_workers", "8"], ["train.train_policy.dataloader_prefetch_factor", "8"], ["train.train_policy.dataset.name", "tube_inspection"], ["train.train_policy.dataset.test_size", "0.05"], ["train.train_policy.enable_dataset_cache", "True"], ["train.train_policy.type", "sft"], ["validation.enable", "True"]]}; | |
| const css=v=>getComputedStyle(document.documentElement).getPropertyValue(v).trim(); | |
| const f=(x)=>x==null?'':Math.abs(x)>=1000?x.toLocaleString(undefined,{maximumFractionDigits:0}):Math.abs(x)>=1?x.toFixed(3):Math.abs(x)>=1e-3?x.toFixed(4):x.toExponential(2); | |
| const el=(id)=>document.getElementById(id); | |
| // KPIs | |
| el('kpis').innerHTML=D.kpis.map(k=>`<div class="kpi"><div class="l">${k.label}</div><div class="v">${k.value}</div><div class="s">${k.sub||''}</div>${k.delta?`<div class="d ${k.tone}">${k.delta}</div>`:''}</div>`).join(''); | |
| // insights | |
| el('ins').innerHTML=D.insights.map(i=>`<li>${i}</li>`).join(''); | |
| // epoch table | |
| (function(){const rows=D.epochs;const best=Math.min(...rows.filter(r=>r.val!=null).map(r=>r.val)); | |
| el('eptable').innerHTML=`<thead><tr><th>Epoch</th><th>Steps</th><th class="n">Mean train loss</th><th class="n">End-of-epoch train loss</th><th class="n">Validation loss</th><th class="n">Δ validation</th><th class="n">Minutes</th></tr></thead><tbody>`+ | |
| rows.map(r=>`<tr class="${r.val===best?'best':''}"><td>${r.epoch}${r.val===best?' <span class="delta">★ best</span>':''}</td><td>${r.steps}</td><td class="n">${f(r.train_mean)}</td><td class="n">${f(r.train_last)}</td><td class="n">${f(r.val)}</td><td class="n">${r.val_delta_pct==null?'—':`<span class="delta ${r.val_delta_pct>0?'up':''}">${r.val_delta_pct>0?'▲':'▼'} ${Math.abs(r.val_delta_pct).toFixed(1)}%</span>`}</td><td class="n">${r.minutes==null?'':r.minutes.toFixed(1)}</td></tr>`).join('')+'</tbody>'})(); | |
| // charts | |
| function smooth(a,w){if(w<=1)return a;const o=[];for(let i=0;i<a.length;i++){let s=0,n=0;for(let j=Math.max(0,i-w+1);j<=i;j++){s+=a[j][1];n++}o.push([a[i][0],s/n])}return o} | |
| function chart(host,opts){const {series,H=320,ylabel='',bands=true,markers=false}=opts;const W=760,L=62,R=20,T=22,B=40;const logy=el('logy').checked; | |
| const allx=series.flatMap(s=>s.pts.map(p=>p[0]));const ally=series.flatMap(s=>(s.raw||s.pts).map(p=>p[1])).filter(v=>!logy||v>0); | |
| const x0=Math.min(...allx),x1=Math.max(...allx);let y0=Math.min(...ally),y1=Math.max(...ally);if(y0===y1){y0*=0.9;y1*=1.1}const pad=(y1-y0)*0.06;if(!logy){y0=Math.max(0,y0-pad);y1+=pad} | |
| const ty=v=>logy?Math.log10(v):v;const sx=x=>L+(x-x0)/((x1-x0)||1)*(W-L-R);const sy=v=>T+(1-(ty(v)-ty(y0))/((ty(y1)-ty(y0))||1))*(H-T-B); | |
| let s=`<svg viewBox="0 0 ${W} ${H}" role="img" aria-label="${opts.title}">`; | |
| if(bands&&D.epochs.length>1){D.epochs.forEach((e,i)=>{const [a,b]=e.steps.split('–').map(Number);if(i%2===0)s+=`<rect class="band" x="${sx(a)}" y="${T}" width="${sx(b)-sx(a)}" height="${H-T-B}"/>`;s+=`<text class="bandl" x="${(sx(a)+sx(b))/2}" y="${T-8}" text-anchor="middle">epoch ${e.epoch}</text>`})} | |
| for(let i=0;i<=5;i++){const v=logy?Math.pow(10,ty(y0)+(ty(y1)-ty(y0))*i/5):y0+(y1-y0)*i/5;s+=`<line class="gl" x1="${L}" x2="${W-R}" y1="${sy(v)}" y2="${sy(v)}"/><text class="tick" x="${L-8}" y="${sy(v)+4}" text-anchor="end">${f(v)}</text>`} | |
| for(let i=0;i<=6;i++){const x=Math.round(x0+(x1-x0)*i/6);s+=`<text class="tick" x="${sx(x)}" y="${H-B+18}" text-anchor="middle">${x}</text>`} | |
| s+=`<line class="ax" x1="${L}" x2="${W-R}" y1="${H-B}" y2="${H-B}"/><text class="tick" x="${(L+W-R)/2}" y="${H-6}" text-anchor="middle">optimizer step</text>`; | |
| if(ylabel)s+=`<text class="tick" transform="translate(14 ${(T+H-B)/2}) rotate(-90)" text-anchor="middle">${ylabel}</text>`; | |
| for(const sr of series){if(sr.raw&&sr.raw!==sr.pts){s+=`<path class="raw" stroke="${sr.color}" d="${sr.raw.filter(p=>!logy||p[1]>0).map((p,i)=>(i?'L':'M')+sx(p[0]).toFixed(1)+' '+sy(p[1]).toFixed(1)).join(' ')}"/>`} | |
| s+=`<path class="ln" stroke="${sr.color}" d="${sr.pts.filter(p=>!logy||p[1]>0).map((p,i)=>(i?'L':'M')+sx(p[0]).toFixed(1)+' '+sy(p[1]).toFixed(1)).join(' ')}"/>`; | |
| if(sr.markers||markers||sr.pts.length<=40)for(const p of sr.pts)s+=`<circle class="mk" cx="${sx(p[0])}" cy="${sy(p[1])}" r="4.5" fill="${sr.color}"/>`; | |
| const last=sr.pts[sr.pts.length-1];s+=`<text class="tick" style="fill:var(--ink2);font-weight:600" x="${Math.min(sx(last[0])+8,W-R-30)}" y="${sy(last[1])+4}">${f(last[1])}</text>`} | |
| s+=`<line class="cross" y1="${T}" y2="${H-B}"/><rect x="${L}" y="${T}" width="${W-L-R}" height="${H-T-B}" fill="transparent"/></svg>`; | |
| host.innerHTML=`<h3>${opts.title}</h3><p class="sub">${opts.sub||''}</p>`+(series.length>1?`<div class="legend">${series.map(sr=>`<span><i class="sw" style="background:${sr.color}"></i>${sr.name}</span>`).join('')}</div>`:'')+s; | |
| const rect=host.querySelector('rect[fill=transparent]'),cross=host.querySelector('.cross'),tip=el('tip'); | |
| rect.addEventListener('mousemove',ev=>{const bb=rect.getBoundingClientRect();const x=x0+(ev.clientX-bb.left)/bb.width*(x1-x0);cross.style.display='block';cross.setAttribute('x1',sx(x));cross.setAttribute('x2',sx(x)); | |
| let rows=`<div class="h">step ${Math.round(x)}</div>`;for(const sr of series){const src=sr.raw||sr.pts;let b=src[0];for(const p of src)if(Math.abs(p[0]-x)<Math.abs(b[0]-x))b=p;rows+=`<div><i class="sw" style="background:${sr.color}"></i>${sr.name}: <b>${f(b[1])}</b></div>`} | |
| tip.innerHTML=rows;tip.style.display='block';tip.style.left=Math.min(ev.clientX+14,innerWidth-200)+'px';tip.style.top=(ev.clientY+14)+'px'}); | |
| rect.addEventListener('mouseleave',()=>{cross.style.display='none';tip.style.display='none'});} | |
| function render(){const w=+el('smooth').value;const M=D.metrics; | |
| const series=[];if(M.loss)series.push({name:'Training loss (smoothed)',color:css('--s1'),pts:smooth(M.loss,w),raw:M.loss});if(M['val/loss'])series.push({name:'Validation loss (per epoch)',color:css('--s2'),pts:M['val/loss'],markers:true}); | |
| chart(el('hero'),{title:'Loss over training',sub:'Training loss per optimizer step (smoothed; faint line is raw) with validation loss at each epoch boundary. Shaded bands mark epochs.',series,H:340,ylabel:'loss'}); | |
| const small=el('small');small.innerHTML='';const defs=[[D.lr_key,'Learning rate','Warm-up then decay schedule applied to the LoRA parameters.',false],['grad_norm','Gradient norm','Global gradient norm before clipping (clip = '+(D.clip||'?')+'). Spikes indicate unstable batches.',true],['iteration_time','Step time','Seconds per optimizer step. Flat = no input pipeline stalls.',true]]; | |
| for(const [k,t,sub,sm] of defs){if(!k||!M[k])continue;const c=document.createElement('div');c.className='card';small.appendChild(c);chart(c,{title:t,sub,series:[{name:t,color:css('--s1'),pts:sm?smooth(M[k],w):M[k],raw:sm?M[k]:null}],H:260,bands:false})}} | |
| // table + config | |
| (function(){const keys=Object.keys(D.metrics);const steps=[...new Set(keys.flatMap(k=>D.metrics[k].map(p=>p[0])))].sort((a,b)=>a-b);const idx={};for(const k of keys)idx[k]=new Map(D.metrics[k]); | |
| el('tbl').innerHTML=`<table><thead><tr><th class="n">step</th>${keys.map(k=>`<th class="n">${D.names[k]||k}</th>`).join('')}</tr></thead><tbody>${steps.map(s=>`<tr><td class="n">${s}</td>${keys.map(k=>`<td class="n">${idx[k].has(s)?f(idx[k].get(s)):''}</td>`).join('')}</tr>`).join('')}</tbody></table>`})(); | |
| el('cfg').innerHTML='<thead><tr><th>Parameter</th><th class="n">Value</th></tr></thead><tbody>'+D.config.map(([k,v])=>`<tr><td>${k}</td><td class="n">${v}</td></tr>`).join('')+'</tbody>'; | |
| el('smooth').onchange=render;el('logy').onchange=render; | |
| el('view').onclick=e=>{const on=e.target.getAttribute('aria-pressed')!=='true';e.target.setAttribute('aria-pressed',on);el('tables').classList.toggle('hidden',!on);if(on)location.hash='#tables'}; | |
| el('theme').onclick=()=>{const r=document.documentElement;const dark=r.getAttribute('data-theme')==='dark'||(!r.getAttribute('data-theme')&&matchMedia('(prefers-color-scheme: dark)').matches);r.setAttribute('data-theme',dark?'light':'dark');render()}; | |
| render(); | |
| </script></body></html> | |