Sync final FlowMo result metadata
Browse files
experiments/flowmo/result/paper_training_trace.jsonl
CHANGED
|
@@ -1,100 +1 @@
|
|
| 1 |
-
{"method": "flowmo", "step": 200, "loss": 2.
|
| 2 |
-
{"method": "flowmo", "step": 400, "loss": 2.5546326637268066}
|
| 3 |
-
{"method": "flowmo", "step": 600, "loss": 2.1885855197906494}
|
| 4 |
-
{"method": "flowmo", "step": 800, "loss": 1.9521373510360718}
|
| 5 |
-
{"method": "flowmo", "step": 1000, "loss": 1.8136850595474243}
|
| 6 |
-
{"method": "flowmo", "step": 1200, "loss": 1.7078666687011719}
|
| 7 |
-
{"method": "flowmo", "step": 1400, "loss": 1.583600401878357}
|
| 8 |
-
{"method": "flowmo", "step": 1600, "loss": 1.4113436937332153}
|
| 9 |
-
{"method": "flowmo", "step": 1800, "loss": 1.1391433477401733}
|
| 10 |
-
{"method": "flowmo", "step": 2000, "loss": 0.843991756439209}
|
| 11 |
-
{"method": "flowmo", "step": 2200, "loss": 0.4143493175506592}
|
| 12 |
-
{"method": "flowmo", "step": 2400, "loss": 0.17534112930297852}
|
| 13 |
-
{"method": "flowmo", "step": 2600, "loss": 0.10404947400093079}
|
| 14 |
-
{"method": "flowmo", "step": 2800, "loss": 0.08960390090942383}
|
| 15 |
-
{"method": "flowmo", "step": 3000, "loss": 0.06150925159454346}
|
| 16 |
-
{"method": "flowmo", "step": 3200, "loss": 0.050643716007471085}
|
| 17 |
-
{"method": "flowmo", "step": 3400, "loss": 0.04722023382782936}
|
| 18 |
-
{"method": "flowmo", "step": 3600, "loss": 0.03910943493247032}
|
| 19 |
-
{"method": "flowmo", "step": 3800, "loss": 0.034517355263233185}
|
| 20 |
-
{"method": "flowmo", "step": 4000, "loss": 0.03372931107878685}
|
| 21 |
-
{"method": "flowmo", "step": 4200, "loss": 0.028907420113682747}
|
| 22 |
-
{"method": "flowmo", "step": 4400, "loss": 0.02713683620095253}
|
| 23 |
-
{"method": "flowmo", "step": 4600, "loss": 0.026512157171964645}
|
| 24 |
-
{"method": "flowmo", "step": 4800, "loss": 0.02357216738164425}
|
| 25 |
-
{"method": "flowmo", "step": 5000, "loss": 0.022205041721463203}
|
| 26 |
-
{"method": "flowmo", "step": 5200, "loss": 0.021671824157238007}
|
| 27 |
-
{"method": "flowmo", "step": 5400, "loss": 0.022753609344363213}
|
| 28 |
-
{"method": "flowmo", "step": 5600, "loss": 0.017359044402837753}
|
| 29 |
-
{"method": "flowmo", "step": 5800, "loss": 0.015896229073405266}
|
| 30 |
-
{"method": "flowmo", "step": 6000, "loss": 0.015997033566236496}
|
| 31 |
-
{"method": "flowmo", "step": 6200, "loss": 0.017708348110318184}
|
| 32 |
-
{"method": "flowmo", "step": 6400, "loss": 0.013344906270503998}
|
| 33 |
-
{"method": "flowmo", "step": 6600, "loss": 0.019510427489876747}
|
| 34 |
-
{"method": "flowmo", "step": 6800, "loss": 0.014104553498327732}
|
| 35 |
-
{"method": "flowmo", "step": 7000, "loss": 0.012482959777116776}
|
| 36 |
-
{"method": "flowmo", "step": 7200, "loss": 0.020980888977646828}
|
| 37 |
-
{"method": "flowmo", "step": 7400, "loss": 0.010919320397078991}
|
| 38 |
-
{"method": "flowmo", "step": 7600, "loss": 0.012034476734697819}
|
| 39 |
-
{"method": "flowmo", "step": 7800, "loss": 0.010465476661920547}
|
| 40 |
-
{"method": "flowmo", "step": 8000, "loss": 0.010064244270324707}
|
| 41 |
-
{"method": "flowmo", "step": 8200, "loss": 0.017180416733026505}
|
| 42 |
-
{"method": "flowmo", "step": 8400, "loss": 0.012871088460087776}
|
| 43 |
-
{"method": "flowmo", "step": 8600, "loss": 0.009764967486262321}
|
| 44 |
-
{"method": "flowmo", "step": 8800, "loss": 0.009405333548784256}
|
| 45 |
-
{"method": "flowmo", "step": 9000, "loss": 0.008828608319163322}
|
| 46 |
-
{"method": "flowmo", "step": 9200, "loss": 0.008842001669108868}
|
| 47 |
-
{"method": "flowmo", "step": 9400, "loss": 0.012081452645361423}
|
| 48 |
-
{"method": "flowmo", "step": 9600, "loss": 0.018835758790373802}
|
| 49 |
-
{"method": "flowmo", "step": 9800, "loss": 0.008033945225179195}
|
| 50 |
-
{"method": "flowmo", "step": 10000, "loss": 0.007763190194964409}
|
| 51 |
-
{"method": "flowmo", "step": 10200, "loss": 0.007489423733204603}
|
| 52 |
-
{"method": "flowmo", "step": 10400, "loss": 0.0076056718826293945}
|
| 53 |
-
{"method": "flowmo", "step": 10600, "loss": 0.00768063310533762}
|
| 54 |
-
{"method": "flowmo", "step": 10800, "loss": 0.009992506355047226}
|
| 55 |
-
{"method": "flowmo", "step": 11000, "loss": 0.00842261966317892}
|
| 56 |
-
{"method": "flowmo", "step": 11200, "loss": 0.026521500200033188}
|
| 57 |
-
{"method": "flowmo", "step": 11400, "loss": 0.018860813230276108}
|
| 58 |
-
{"method": "flowmo", "step": 11600, "loss": 0.007891213521361351}
|
| 59 |
-
{"method": "flowmo", "step": 11800, "loss": 0.006570508703589439}
|
| 60 |
-
{"method": "flowmo", "step": 12000, "loss": 0.006496565416455269}
|
| 61 |
-
{"method": "flowmo", "step": 12200, "loss": 0.006572996266186237}
|
| 62 |
-
{"method": "flowmo", "step": 12400, "loss": 0.006286568008363247}
|
| 63 |
-
{"method": "flowmo", "step": 12600, "loss": 0.006442747078835964}
|
| 64 |
-
{"method": "flowmo", "step": 12800, "loss": 0.0060729458928108215}
|
| 65 |
-
{"method": "flowmo", "step": 13000, "loss": 0.006215339060872793}
|
| 66 |
-
{"method": "flowmo", "step": 13200, "loss": 0.006229731719940901}
|
| 67 |
-
{"method": "flowmo", "step": 13400, "loss": 0.015923455357551575}
|
| 68 |
-
{"method": "flowmo", "step": 13600, "loss": 0.00830706488341093}
|
| 69 |
-
{"method": "flowmo", "step": 13800, "loss": 0.005948069971054792}
|
| 70 |
-
{"method": "flowmo", "step": 14000, "loss": 0.005477099679410458}
|
| 71 |
-
{"method": "flowmo", "step": 14200, "loss": 0.005825021769851446}
|
| 72 |
-
{"method": "flowmo", "step": 14400, "loss": 0.005389831960201263}
|
| 73 |
-
{"method": "flowmo", "step": 14600, "loss": 0.00538972020149231}
|
| 74 |
-
{"method": "flowmo", "step": 14800, "loss": 0.005436031147837639}
|
| 75 |
-
{"method": "flowmo", "step": 15000, "loss": 0.005460439249873161}
|
| 76 |
-
{"method": "flowmo", "step": 15200, "loss": 0.0054905107244849205}
|
| 77 |
-
{"method": "flowmo", "step": 15400, "loss": 0.04125838354229927}
|
| 78 |
-
{"method": "flowmo", "step": 15600, "loss": 0.007642415817826986}
|
| 79 |
-
{"method": "flowmo", "step": 15800, "loss": 0.004961329512298107}
|
| 80 |
-
{"method": "flowmo", "step": 16000, "loss": 0.0046252962201833725}
|
| 81 |
-
{"method": "flowmo", "step": 16200, "loss": 0.004764193668961525}
|
| 82 |
-
{"method": "flowmo", "step": 16400, "loss": 0.0046986970119178295}
|
| 83 |
-
{"method": "flowmo", "step": 16600, "loss": 0.004872818943113089}
|
| 84 |
-
{"method": "flowmo", "step": 16800, "loss": 0.004637495614588261}
|
| 85 |
-
{"method": "flowmo", "step": 17000, "loss": 0.004717609845101833}
|
| 86 |
-
{"method": "flowmo", "step": 17200, "loss": 0.00468458840623498}
|
| 87 |
-
{"method": "flowmo", "step": 17400, "loss": 0.004698699805885553}
|
| 88 |
-
{"method": "flowmo", "step": 17600, "loss": 0.0048277308233082294}
|
| 89 |
-
{"method": "flowmo", "step": 17800, "loss": 0.00458098016679287}
|
| 90 |
-
{"method": "flowmo", "step": 18000, "loss": 0.0046404642052948475}
|
| 91 |
-
{"method": "flowmo", "step": 18200, "loss": 0.004587466362863779}
|
| 92 |
-
{"method": "flowmo", "step": 18400, "loss": 0.004678289871662855}
|
| 93 |
-
{"method": "flowmo", "step": 18600, "loss": 0.004505776334553957}
|
| 94 |
-
{"method": "flowmo", "step": 18800, "loss": 0.004538910463452339}
|
| 95 |
-
{"method": "flowmo", "step": 19000, "loss": 0.03361465781927109}
|
| 96 |
-
{"method": "flowmo", "step": 19200, "loss": 0.007749940734356642}
|
| 97 |
-
{"method": "flowmo", "step": 19400, "loss": 0.004111349582672119}
|
| 98 |
-
{"method": "flowmo", "step": 19600, "loss": 0.003949436359107494}
|
| 99 |
-
{"method": "flowmo", "step": 19800, "loss": 0.0038776814471930265}
|
| 100 |
-
{"method": "flowmo", "step": 20000, "loss": 0.003838971257209778}
|
|
|
|
| 1 |
+
{"method": "flowmo", "step": 200, "loss": 2.566943883895874}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|