| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 58.13953488372093, | |
| "eval_steps": 500, | |
| "global_step": 10000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 5.9401e-05, | |
| "loss": 0.1069, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.3320487132565843, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.3320487132565843, | |
| "eval_loss": 0.1376139372587204, | |
| "eval_mean_accuracy": 0.3320487132565843, | |
| "eval_mean_iou": 0.16602435662829215, | |
| "eval_overall_accuracy": 0.3320487132565843, | |
| "eval_runtime": 153.4431, | |
| "eval_samples_per_second": 0.398, | |
| "eval_steps_per_second": 0.202, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 5.8802000000000004e-05, | |
| "loss": 0.0728, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 5.8203e-05, | |
| "loss": 0.0682, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.45963436102939476, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.45963436102939476, | |
| "eval_loss": 0.13265447318553925, | |
| "eval_mean_accuracy": 0.45963436102939476, | |
| "eval_mean_iou": 0.22981718051469738, | |
| "eval_overall_accuracy": 0.45963436102939476, | |
| "eval_runtime": 155.9694, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 5.7604e-05, | |
| "loss": 0.0655, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "learning_rate": 5.7005e-05, | |
| "loss": 0.0666, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.24007290773899145, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.24007290773899145, | |
| "eval_loss": 0.24778728187084198, | |
| "eval_mean_accuracy": 0.24007290773899145, | |
| "eval_mean_iou": 0.12003645386949573, | |
| "eval_overall_accuracy": 0.24007290773899145, | |
| "eval_runtime": 156.023, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 516 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "learning_rate": 5.6406e-05, | |
| "loss": 0.0639, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.30758060966852746, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.30758060966852746, | |
| "eval_loss": 0.1731935739517212, | |
| "eval_mean_accuracy": 0.30758060966852746, | |
| "eval_mean_iou": 0.15379030483426373, | |
| "eval_overall_accuracy": 0.30758060966852746, | |
| "eval_runtime": 156.1322, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 688 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "learning_rate": 5.5806999999999996e-05, | |
| "loss": 0.061, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "learning_rate": 5.5208000000000004e-05, | |
| "loss": 0.0624, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4667571981191077, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4667571981191077, | |
| "eval_loss": 0.102729931473732, | |
| "eval_mean_accuracy": 0.4667571981191077, | |
| "eval_mean_iou": 0.23337859905955385, | |
| "eval_overall_accuracy": 0.4667571981191077, | |
| "eval_runtime": 156.0295, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "learning_rate": 5.4609000000000005e-05, | |
| "loss": 0.0551, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "learning_rate": 5.401e-05, | |
| "loss": 0.0557, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.3702876352180862, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.3702876352180862, | |
| "eval_loss": 0.10026176273822784, | |
| "eval_mean_accuracy": 0.3702876352180862, | |
| "eval_mean_iou": 0.1851438176090431, | |
| "eval_overall_accuracy": 0.3702876352180862, | |
| "eval_runtime": 156.7341, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 1032 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "learning_rate": 5.3411e-05, | |
| "loss": 0.0608, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 6.98, | |
| "learning_rate": 5.2812e-05, | |
| "loss": 0.0563, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4013501540385907, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4013501540385907, | |
| "eval_loss": 0.15124785900115967, | |
| "eval_mean_accuracy": 0.4013501540385907, | |
| "eval_mean_iou": 0.20067507701929535, | |
| "eval_overall_accuracy": 0.4013501540385907, | |
| "eval_runtime": 156.4098, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 1204 | |
| }, | |
| { | |
| "epoch": 7.56, | |
| "learning_rate": 5.2213e-05, | |
| "loss": 0.054, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.48016608371360403, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.48016608371360403, | |
| "eval_loss": 0.10002602636814117, | |
| "eval_mean_accuracy": 0.48016608371360403, | |
| "eval_mean_iou": 0.24008304185680202, | |
| "eval_overall_accuracy": 0.48016608371360403, | |
| "eval_runtime": 156.752, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 1376 | |
| }, | |
| { | |
| "epoch": 8.14, | |
| "learning_rate": 5.1614000000000004e-05, | |
| "loss": 0.0526, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 8.72, | |
| "learning_rate": 5.1015e-05, | |
| "loss": 0.0546, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4475284334391142, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4475284334391142, | |
| "eval_loss": 0.09331139922142029, | |
| "eval_mean_accuracy": 0.4475284334391142, | |
| "eval_mean_iou": 0.2237642167195571, | |
| "eval_overall_accuracy": 0.4475284334391142, | |
| "eval_runtime": 156.1994, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.198, | |
| "step": 1548 | |
| }, | |
| { | |
| "epoch": 9.3, | |
| "learning_rate": 5.0416e-05, | |
| "loss": 0.0499, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 9.88, | |
| "learning_rate": 4.9817e-05, | |
| "loss": 0.0498, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4606101318014408, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4606101318014408, | |
| "eval_loss": 0.09636788815259933, | |
| "eval_mean_accuracy": 0.4606101318014408, | |
| "eval_mean_iou": 0.2303050659007204, | |
| "eval_overall_accuracy": 0.4606101318014408, | |
| "eval_runtime": 155.8777, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 1720 | |
| }, | |
| { | |
| "epoch": 10.47, | |
| "learning_rate": 4.9218e-05, | |
| "loss": 0.0515, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.45157194644553056, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.45157194644553056, | |
| "eval_loss": 0.11066819727420807, | |
| "eval_mean_accuracy": 0.45157194644553056, | |
| "eval_mean_iou": 0.22578597322276528, | |
| "eval_overall_accuracy": 0.45157194644553056, | |
| "eval_runtime": 156.6204, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 1892 | |
| }, | |
| { | |
| "epoch": 11.05, | |
| "learning_rate": 4.8619e-05, | |
| "loss": 0.045, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 11.63, | |
| "learning_rate": 4.8020000000000004e-05, | |
| "loss": 0.0453, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.511473269092678, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.511473269092678, | |
| "eval_loss": 0.09613163024187088, | |
| "eval_mean_accuracy": 0.511473269092678, | |
| "eval_mean_iou": 0.255736634546339, | |
| "eval_overall_accuracy": 0.511473269092678, | |
| "eval_runtime": 156.6921, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 2064 | |
| }, | |
| { | |
| "epoch": 12.21, | |
| "learning_rate": 4.7421000000000006e-05, | |
| "loss": 0.048, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 12.79, | |
| "learning_rate": 4.6822e-05, | |
| "loss": 0.0431, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.47917294016816847, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.47917294016816847, | |
| "eval_loss": 0.10270992666482925, | |
| "eval_mean_accuracy": 0.47917294016816847, | |
| "eval_mean_iou": 0.23958647008408424, | |
| "eval_overall_accuracy": 0.47917294016816847, | |
| "eval_runtime": 156.0746, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 2236 | |
| }, | |
| { | |
| "epoch": 13.37, | |
| "learning_rate": 4.6223e-05, | |
| "loss": 0.0453, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 13.95, | |
| "learning_rate": 4.5624e-05, | |
| "loss": 0.0418, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.5042215839336591, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.5042215839336591, | |
| "eval_loss": 0.10270833224058151, | |
| "eval_mean_accuracy": 0.5042215839336591, | |
| "eval_mean_iou": 0.25211079196682956, | |
| "eval_overall_accuracy": 0.5042215839336591, | |
| "eval_runtime": 160.9996, | |
| "eval_samples_per_second": 0.379, | |
| "eval_steps_per_second": 0.193, | |
| "step": 2408 | |
| }, | |
| { | |
| "epoch": 14.53, | |
| "learning_rate": 4.5025000000000003e-05, | |
| "loss": 0.0426, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.5122767598619443, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.5122767598619443, | |
| "eval_loss": 0.10589463263750076, | |
| "eval_mean_accuracy": 0.5122767598619443, | |
| "eval_mean_iou": 0.25613837993097216, | |
| "eval_overall_accuracy": 0.5122767598619443, | |
| "eval_runtime": 157.3763, | |
| "eval_samples_per_second": 0.388, | |
| "eval_steps_per_second": 0.197, | |
| "step": 2580 | |
| }, | |
| { | |
| "epoch": 15.12, | |
| "learning_rate": 4.4426000000000005e-05, | |
| "loss": 0.0394, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 15.7, | |
| "learning_rate": 4.3827e-05, | |
| "loss": 0.0377, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.45612940399805424, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.45612940399805424, | |
| "eval_loss": 0.11933184415102005, | |
| "eval_mean_accuracy": 0.45612940399805424, | |
| "eval_mean_iou": 0.22806470199902712, | |
| "eval_overall_accuracy": 0.45612940399805424, | |
| "eval_runtime": 156.4717, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 2752 | |
| }, | |
| { | |
| "epoch": 16.28, | |
| "learning_rate": 4.3228e-05, | |
| "loss": 0.0403, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 16.86, | |
| "learning_rate": 4.2629e-05, | |
| "loss": 0.0369, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4971798197864307, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4971798197864307, | |
| "eval_loss": 0.11605090647935867, | |
| "eval_mean_accuracy": 0.4971798197864307, | |
| "eval_mean_iou": 0.24858990989321536, | |
| "eval_overall_accuracy": 0.4971798197864307, | |
| "eval_runtime": 157.188, | |
| "eval_samples_per_second": 0.388, | |
| "eval_steps_per_second": 0.197, | |
| "step": 2924 | |
| }, | |
| { | |
| "epoch": 17.44, | |
| "learning_rate": 4.203e-05, | |
| "loss": 0.036, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.5029157304672118, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.5029157304672118, | |
| "eval_loss": 0.10579968243837357, | |
| "eval_mean_accuracy": 0.5029157304672118, | |
| "eval_mean_iou": 0.2514578652336059, | |
| "eval_overall_accuracy": 0.5029157304672118, | |
| "eval_runtime": 156.4889, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 3096 | |
| }, | |
| { | |
| "epoch": 18.02, | |
| "learning_rate": 4.1431e-05, | |
| "loss": 0.0356, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 18.6, | |
| "learning_rate": 4.0832e-05, | |
| "loss": 0.034, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.48682130365291515, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.48682130365291515, | |
| "eval_loss": 0.11756766587495804, | |
| "eval_mean_accuracy": 0.48682130365291515, | |
| "eval_mean_iou": 0.24341065182645757, | |
| "eval_overall_accuracy": 0.48682130365291515, | |
| "eval_runtime": 156.5808, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 3268 | |
| }, | |
| { | |
| "epoch": 19.19, | |
| "learning_rate": 4.0233e-05, | |
| "loss": 0.0341, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 19.77, | |
| "learning_rate": 3.9634e-05, | |
| "loss": 0.0337, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.45086545366102243, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.45086545366102243, | |
| "eval_loss": 0.11620641499757767, | |
| "eval_mean_accuracy": 0.45086545366102243, | |
| "eval_mean_iou": 0.22543272683051122, | |
| "eval_overall_accuracy": 0.45086545366102243, | |
| "eval_runtime": 155.9594, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 3440 | |
| }, | |
| { | |
| "epoch": 20.35, | |
| "learning_rate": 3.9035e-05, | |
| "loss": 0.0335, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 20.93, | |
| "learning_rate": 3.8436e-05, | |
| "loss": 0.0281, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 21.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4425554770563573, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4425554770563573, | |
| "eval_loss": 0.12034890055656433, | |
| "eval_mean_accuracy": 0.4425554770563573, | |
| "eval_mean_iou": 0.22127773852817864, | |
| "eval_overall_accuracy": 0.4425554770563573, | |
| "eval_runtime": 155.97, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 3612 | |
| }, | |
| { | |
| "epoch": 21.51, | |
| "learning_rate": 3.7837000000000004e-05, | |
| "loss": 0.0354, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.47682182483611685, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.47682182483611685, | |
| "eval_loss": 0.12655681371688843, | |
| "eval_mean_accuracy": 0.47682182483611685, | |
| "eval_mean_iou": 0.23841091241805842, | |
| "eval_overall_accuracy": 0.47682182483611685, | |
| "eval_runtime": 156.6967, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 3784 | |
| }, | |
| { | |
| "epoch": 22.09, | |
| "learning_rate": 3.7238000000000005e-05, | |
| "loss": 0.0305, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 22.67, | |
| "learning_rate": 3.6639e-05, | |
| "loss": 0.0323, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 23.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4818396608834634, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4818396608834634, | |
| "eval_loss": 0.12230654060840607, | |
| "eval_mean_accuracy": 0.4818396608834634, | |
| "eval_mean_iou": 0.2409198304417317, | |
| "eval_overall_accuracy": 0.4818396608834634, | |
| "eval_runtime": 157.1131, | |
| "eval_samples_per_second": 0.388, | |
| "eval_steps_per_second": 0.197, | |
| "step": 3956 | |
| }, | |
| { | |
| "epoch": 23.26, | |
| "learning_rate": 3.604e-05, | |
| "loss": 0.0325, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 23.84, | |
| "learning_rate": 3.544100000000001e-05, | |
| "loss": 0.0299, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4390099835537745, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4390099835537745, | |
| "eval_loss": 0.13561676442623138, | |
| "eval_mean_accuracy": 0.4390099835537745, | |
| "eval_mean_iou": 0.21950499177688726, | |
| "eval_overall_accuracy": 0.4390099835537745, | |
| "eval_runtime": 156.2405, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 4128 | |
| }, | |
| { | |
| "epoch": 24.42, | |
| "learning_rate": 3.4842e-05, | |
| "loss": 0.026, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 3.4243000000000004e-05, | |
| "loss": 0.0294, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46362430798452664, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46362430798452664, | |
| "eval_loss": 0.12850545346736908, | |
| "eval_mean_accuracy": 0.46362430798452664, | |
| "eval_mean_iou": 0.23181215399226332, | |
| "eval_overall_accuracy": 0.46362430798452664, | |
| "eval_runtime": 156.8606, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 25.58, | |
| "learning_rate": 3.3644000000000005e-05, | |
| "loss": 0.0295, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.511855470107248, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.511855470107248, | |
| "eval_loss": 0.12743909657001495, | |
| "eval_mean_accuracy": 0.511855470107248, | |
| "eval_mean_iou": 0.255927735053624, | |
| "eval_overall_accuracy": 0.511855470107248, | |
| "eval_runtime": 156.4438, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 4472 | |
| }, | |
| { | |
| "epoch": 26.16, | |
| "learning_rate": 3.3045000000000006e-05, | |
| "loss": 0.0282, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 26.74, | |
| "learning_rate": 3.2446e-05, | |
| "loss": 0.0252, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 27.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.482663419888351, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.482663419888351, | |
| "eval_loss": 0.1387258917093277, | |
| "eval_mean_accuracy": 0.482663419888351, | |
| "eval_mean_iou": 0.2413317099441755, | |
| "eval_overall_accuracy": 0.482663419888351, | |
| "eval_runtime": 156.5802, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 4644 | |
| }, | |
| { | |
| "epoch": 27.33, | |
| "learning_rate": 3.1847e-05, | |
| "loss": 0.0287, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 27.91, | |
| "learning_rate": 3.1248e-05, | |
| "loss": 0.029, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.44720558940029187, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.44720558940029187, | |
| "eval_loss": 0.14684991538524628, | |
| "eval_mean_accuracy": 0.44720558940029187, | |
| "eval_mean_iou": 0.22360279470014593, | |
| "eval_overall_accuracy": 0.44720558940029187, | |
| "eval_runtime": 156.4561, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 4816 | |
| }, | |
| { | |
| "epoch": 28.49, | |
| "learning_rate": 3.0649000000000004e-05, | |
| "loss": 0.0218, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 29.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.48659400986773527, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.48659400986773527, | |
| "eval_loss": 0.14481770992279053, | |
| "eval_mean_accuracy": 0.48659400986773527, | |
| "eval_mean_iou": 0.24329700493386763, | |
| "eval_overall_accuracy": 0.48659400986773527, | |
| "eval_runtime": 157.2509, | |
| "eval_samples_per_second": 0.388, | |
| "eval_steps_per_second": 0.197, | |
| "step": 4988 | |
| }, | |
| { | |
| "epoch": 29.07, | |
| "learning_rate": 3.0050000000000002e-05, | |
| "loss": 0.0301, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 29.65, | |
| "learning_rate": 2.9451e-05, | |
| "loss": 0.0275, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46353889184869473, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46353889184869473, | |
| "eval_loss": 0.14777640998363495, | |
| "eval_mean_accuracy": 0.46353889184869473, | |
| "eval_mean_iou": 0.23176944592434737, | |
| "eval_overall_accuracy": 0.46353889184869473, | |
| "eval_runtime": 156.5477, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 5160 | |
| }, | |
| { | |
| "epoch": 30.23, | |
| "learning_rate": 2.8851999999999998e-05, | |
| "loss": 0.0225, | |
| "step": 5200 | |
| }, | |
| { | |
| "epoch": 30.81, | |
| "learning_rate": 2.8253e-05, | |
| "loss": 0.0233, | |
| "step": 5300 | |
| }, | |
| { | |
| "epoch": 31.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.5004907808482546, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.5004907808482546, | |
| "eval_loss": 0.1377350240945816, | |
| "eval_mean_accuracy": 0.5004907808482546, | |
| "eval_mean_iou": 0.2502453904241273, | |
| "eval_overall_accuracy": 0.5004907808482546, | |
| "eval_runtime": 156.6594, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 5332 | |
| }, | |
| { | |
| "epoch": 31.4, | |
| "learning_rate": 2.7653999999999996e-05, | |
| "loss": 0.0298, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 31.98, | |
| "learning_rate": 2.7054999999999998e-05, | |
| "loss": 0.0252, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.479749137152255, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.479749137152255, | |
| "eval_loss": 0.14582620561122894, | |
| "eval_mean_accuracy": 0.479749137152255, | |
| "eval_mean_iou": 0.2398745685761275, | |
| "eval_overall_accuracy": 0.479749137152255, | |
| "eval_runtime": 156.5125, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 5504 | |
| }, | |
| { | |
| "epoch": 32.56, | |
| "learning_rate": 2.6455999999999995e-05, | |
| "loss": 0.0245, | |
| "step": 5600 | |
| }, | |
| { | |
| "epoch": 33.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.49601584396933124, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.49601584396933124, | |
| "eval_loss": 0.14308802783489227, | |
| "eval_mean_accuracy": 0.49601584396933124, | |
| "eval_mean_iou": 0.24800792198466562, | |
| "eval_overall_accuracy": 0.49601584396933124, | |
| "eval_runtime": 156.4697, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 5676 | |
| }, | |
| { | |
| "epoch": 33.14, | |
| "learning_rate": 2.5857e-05, | |
| "loss": 0.0239, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 33.72, | |
| "learning_rate": 2.5258e-05, | |
| "loss": 0.0225, | |
| "step": 5800 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.48786656551851937, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.48786656551851937, | |
| "eval_loss": 0.15624532103538513, | |
| "eval_mean_accuracy": 0.48786656551851937, | |
| "eval_mean_iou": 0.24393328275925968, | |
| "eval_overall_accuracy": 0.48786656551851937, | |
| "eval_runtime": 156.7936, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 5848 | |
| }, | |
| { | |
| "epoch": 34.3, | |
| "learning_rate": 2.4659e-05, | |
| "loss": 0.0259, | |
| "step": 5900 | |
| }, | |
| { | |
| "epoch": 34.88, | |
| "learning_rate": 2.406e-05, | |
| "loss": 0.0242, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46464061522781497, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46464061522781497, | |
| "eval_loss": 0.1632518768310547, | |
| "eval_mean_accuracy": 0.46464061522781497, | |
| "eval_mean_iou": 0.23232030761390748, | |
| "eval_overall_accuracy": 0.46464061522781497, | |
| "eval_runtime": 156.5515, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 6020 | |
| }, | |
| { | |
| "epoch": 35.47, | |
| "learning_rate": 2.3460999999999998e-05, | |
| "loss": 0.0213, | |
| "step": 6100 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4548626392717333, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4548626392717333, | |
| "eval_loss": 0.16663947701454163, | |
| "eval_mean_accuracy": 0.4548626392717333, | |
| "eval_mean_iou": 0.22743131963586666, | |
| "eval_overall_accuracy": 0.4548626392717333, | |
| "eval_runtime": 155.7868, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.199, | |
| "step": 6192 | |
| }, | |
| { | |
| "epoch": 36.05, | |
| "learning_rate": 2.2862e-05, | |
| "loss": 0.0231, | |
| "step": 6200 | |
| }, | |
| { | |
| "epoch": 36.63, | |
| "learning_rate": 2.2263e-05, | |
| "loss": 0.0256, | |
| "step": 6300 | |
| }, | |
| { | |
| "epoch": 37.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46804712654328134, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46804712654328134, | |
| "eval_loss": 0.16645021736621857, | |
| "eval_mean_accuracy": 0.46804712654328134, | |
| "eval_mean_iou": 0.23402356327164067, | |
| "eval_overall_accuracy": 0.46804712654328134, | |
| "eval_runtime": 156.6904, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 6364 | |
| }, | |
| { | |
| "epoch": 37.21, | |
| "learning_rate": 2.1663999999999998e-05, | |
| "loss": 0.0183, | |
| "step": 6400 | |
| }, | |
| { | |
| "epoch": 37.79, | |
| "learning_rate": 2.1065e-05, | |
| "loss": 0.0237, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.48190770424590584, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.48190770424590584, | |
| "eval_loss": 0.1657858043909073, | |
| "eval_mean_accuracy": 0.48190770424590584, | |
| "eval_mean_iou": 0.24095385212295292, | |
| "eval_overall_accuracy": 0.48190770424590584, | |
| "eval_runtime": 157.1509, | |
| "eval_samples_per_second": 0.388, | |
| "eval_steps_per_second": 0.197, | |
| "step": 6536 | |
| }, | |
| { | |
| "epoch": 38.37, | |
| "learning_rate": 2.0465999999999997e-05, | |
| "loss": 0.0252, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 38.95, | |
| "learning_rate": 1.9866999999999998e-05, | |
| "loss": 0.0192, | |
| "step": 6700 | |
| }, | |
| { | |
| "epoch": 39.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4571688749391953, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4571688749391953, | |
| "eval_loss": 0.17052605748176575, | |
| "eval_mean_accuracy": 0.4571688749391953, | |
| "eval_mean_iou": 0.22858443746959764, | |
| "eval_overall_accuracy": 0.4571688749391953, | |
| "eval_runtime": 156.9593, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 6708 | |
| }, | |
| { | |
| "epoch": 39.53, | |
| "learning_rate": 1.9267999999999996e-05, | |
| "loss": 0.0198, | |
| "step": 6800 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46443648514048785, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46443648514048785, | |
| "eval_loss": 0.16882432997226715, | |
| "eval_mean_accuracy": 0.46443648514048785, | |
| "eval_mean_iou": 0.23221824257024393, | |
| "eval_overall_accuracy": 0.46443648514048785, | |
| "eval_runtime": 156.6443, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 6880 | |
| }, | |
| { | |
| "epoch": 40.12, | |
| "learning_rate": 1.8669e-05, | |
| "loss": 0.0222, | |
| "step": 6900 | |
| }, | |
| { | |
| "epoch": 40.7, | |
| "learning_rate": 1.807e-05, | |
| "loss": 0.0214, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 41.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46302494730258736, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46302494730258736, | |
| "eval_loss": 0.17171593010425568, | |
| "eval_mean_accuracy": 0.46302494730258736, | |
| "eval_mean_iou": 0.23151247365129368, | |
| "eval_overall_accuracy": 0.46302494730258736, | |
| "eval_runtime": 157.702, | |
| "eval_samples_per_second": 0.387, | |
| "eval_steps_per_second": 0.197, | |
| "step": 7052 | |
| }, | |
| { | |
| "epoch": 41.28, | |
| "learning_rate": 1.7471e-05, | |
| "loss": 0.0227, | |
| "step": 7100 | |
| }, | |
| { | |
| "epoch": 41.86, | |
| "learning_rate": 1.6872e-05, | |
| "loss": 0.0197, | |
| "step": 7200 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46768519376433254, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46768519376433254, | |
| "eval_loss": 0.17641867697238922, | |
| "eval_mean_accuracy": 0.46768519376433254, | |
| "eval_mean_iou": 0.23384259688216627, | |
| "eval_overall_accuracy": 0.46768519376433254, | |
| "eval_runtime": 156.417, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 7224 | |
| }, | |
| { | |
| "epoch": 42.44, | |
| "learning_rate": 1.6272999999999998e-05, | |
| "loss": 0.0187, | |
| "step": 7300 | |
| }, | |
| { | |
| "epoch": 43.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4873989483681175, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4873989483681175, | |
| "eval_loss": 0.1764158457517624, | |
| "eval_mean_accuracy": 0.4873989483681175, | |
| "eval_mean_iou": 0.24369947418405874, | |
| "eval_overall_accuracy": 0.4873989483681175, | |
| "eval_runtime": 156.9218, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 7396 | |
| }, | |
| { | |
| "epoch": 43.02, | |
| "learning_rate": 1.5674e-05, | |
| "loss": 0.021, | |
| "step": 7400 | |
| }, | |
| { | |
| "epoch": 43.6, | |
| "learning_rate": 1.5075000000000002e-05, | |
| "loss": 0.0212, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4518962382154687, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4518962382154687, | |
| "eval_loss": 0.18739816546440125, | |
| "eval_mean_accuracy": 0.4518962382154687, | |
| "eval_mean_iou": 0.22594811910773435, | |
| "eval_overall_accuracy": 0.4518962382154687, | |
| "eval_runtime": 156.1764, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.198, | |
| "step": 7568 | |
| }, | |
| { | |
| "epoch": 44.19, | |
| "learning_rate": 1.4476e-05, | |
| "loss": 0.0214, | |
| "step": 7600 | |
| }, | |
| { | |
| "epoch": 44.77, | |
| "learning_rate": 1.3877e-05, | |
| "loss": 0.0188, | |
| "step": 7700 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.47245257232864657, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.47245257232864657, | |
| "eval_loss": 0.1854245811700821, | |
| "eval_mean_accuracy": 0.47245257232864657, | |
| "eval_mean_iou": 0.23622628616432328, | |
| "eval_overall_accuracy": 0.47245257232864657, | |
| "eval_runtime": 156.7291, | |
| "eval_samples_per_second": 0.389, | |
| "eval_steps_per_second": 0.198, | |
| "step": 7740 | |
| }, | |
| { | |
| "epoch": 45.35, | |
| "learning_rate": 1.3277999999999999e-05, | |
| "loss": 0.0207, | |
| "step": 7800 | |
| }, | |
| { | |
| "epoch": 45.93, | |
| "learning_rate": 1.2678999999999998e-05, | |
| "loss": 0.0188, | |
| "step": 7900 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4640803432860022, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4640803432860022, | |
| "eval_loss": 0.17718802392482758, | |
| "eval_mean_accuracy": 0.4640803432860022, | |
| "eval_mean_iou": 0.2320401716430011, | |
| "eval_overall_accuracy": 0.4640803432860022, | |
| "eval_runtime": 153.4591, | |
| "eval_samples_per_second": 0.398, | |
| "eval_steps_per_second": 0.202, | |
| "step": 7912 | |
| }, | |
| { | |
| "epoch": 46.51, | |
| "learning_rate": 1.2079999999999998e-05, | |
| "loss": 0.0228, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 47.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4769579115610016, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4769579115610016, | |
| "eval_loss": 0.1783311665058136, | |
| "eval_mean_accuracy": 0.4769579115610016, | |
| "eval_mean_iou": 0.2384789557805008, | |
| "eval_overall_accuracy": 0.4769579115610016, | |
| "eval_runtime": 152.7538, | |
| "eval_samples_per_second": 0.399, | |
| "eval_steps_per_second": 0.203, | |
| "step": 8084 | |
| }, | |
| { | |
| "epoch": 47.09, | |
| "learning_rate": 1.1480999999999997e-05, | |
| "loss": 0.0167, | |
| "step": 8100 | |
| }, | |
| { | |
| "epoch": 47.67, | |
| "learning_rate": 1.0882000000000004e-05, | |
| "loss": 0.0199, | |
| "step": 8200 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46338108915707305, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46338108915707305, | |
| "eval_loss": 0.18504880368709564, | |
| "eval_mean_accuracy": 0.46338108915707305, | |
| "eval_mean_iou": 0.23169054457853652, | |
| "eval_overall_accuracy": 0.46338108915707305, | |
| "eval_runtime": 153.3711, | |
| "eval_samples_per_second": 0.398, | |
| "eval_steps_per_second": 0.202, | |
| "step": 8256 | |
| }, | |
| { | |
| "epoch": 48.26, | |
| "learning_rate": 1.0283000000000003e-05, | |
| "loss": 0.019, | |
| "step": 8300 | |
| }, | |
| { | |
| "epoch": 48.84, | |
| "learning_rate": 9.684000000000002e-06, | |
| "loss": 0.0202, | |
| "step": 8400 | |
| }, | |
| { | |
| "epoch": 49.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46724074031178336, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46724074031178336, | |
| "eval_loss": 0.18718132376670837, | |
| "eval_mean_accuracy": 0.46724074031178336, | |
| "eval_mean_iou": 0.23362037015589168, | |
| "eval_overall_accuracy": 0.46724074031178336, | |
| "eval_runtime": 154.9674, | |
| "eval_samples_per_second": 0.394, | |
| "eval_steps_per_second": 0.2, | |
| "step": 8428 | |
| }, | |
| { | |
| "epoch": 49.42, | |
| "learning_rate": 9.085000000000002e-06, | |
| "loss": 0.0183, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 8.486000000000001e-06, | |
| "loss": 0.0181, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4810491996942392, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4810491996942392, | |
| "eval_loss": 0.18025511503219604, | |
| "eval_mean_accuracy": 0.4810491996942392, | |
| "eval_mean_iou": 0.2405245998471196, | |
| "eval_overall_accuracy": 0.4810491996942392, | |
| "eval_runtime": 155.7479, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.199, | |
| "step": 8600 | |
| }, | |
| { | |
| "epoch": 50.58, | |
| "learning_rate": 7.887000000000001e-06, | |
| "loss": 0.0157, | |
| "step": 8700 | |
| }, | |
| { | |
| "epoch": 51.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46972504690648814, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46972504690648814, | |
| "eval_loss": 0.18742136657238007, | |
| "eval_mean_accuracy": 0.46972504690648814, | |
| "eval_mean_iou": 0.23486252345324407, | |
| "eval_overall_accuracy": 0.46972504690648814, | |
| "eval_runtime": 155.2129, | |
| "eval_samples_per_second": 0.393, | |
| "eval_steps_per_second": 0.2, | |
| "step": 8772 | |
| }, | |
| { | |
| "epoch": 51.16, | |
| "learning_rate": 7.2879999999999995e-06, | |
| "loss": 0.0202, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 51.74, | |
| "learning_rate": 6.688999999999999e-06, | |
| "loss": 0.0162, | |
| "step": 8900 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4664546223159065, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4664546223159065, | |
| "eval_loss": 0.18885654211044312, | |
| "eval_mean_accuracy": 0.4664546223159065, | |
| "eval_mean_iou": 0.23322731115795325, | |
| "eval_overall_accuracy": 0.4664546223159065, | |
| "eval_runtime": 155.8494, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 8944 | |
| }, | |
| { | |
| "epoch": 52.33, | |
| "learning_rate": 6.0899999999999984e-06, | |
| "loss": 0.0216, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 52.91, | |
| "learning_rate": 5.490999999999998e-06, | |
| "loss": 0.0178, | |
| "step": 9100 | |
| }, | |
| { | |
| "epoch": 53.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.47148548794329526, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.47148548794329526, | |
| "eval_loss": 0.1948123276233673, | |
| "eval_mean_accuracy": 0.47148548794329526, | |
| "eval_mean_iou": 0.23574274397164763, | |
| "eval_overall_accuracy": 0.47148548794329526, | |
| "eval_runtime": 155.4279, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.199, | |
| "step": 9116 | |
| }, | |
| { | |
| "epoch": 53.49, | |
| "learning_rate": 4.891999999999997e-06, | |
| "loss": 0.0166, | |
| "step": 9200 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46655885895624377, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46655885895624377, | |
| "eval_loss": 0.19108614325523376, | |
| "eval_mean_accuracy": 0.46655885895624377, | |
| "eval_mean_iou": 0.23327942947812189, | |
| "eval_overall_accuracy": 0.46655885895624377, | |
| "eval_runtime": 155.6244, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.199, | |
| "step": 9288 | |
| }, | |
| { | |
| "epoch": 54.07, | |
| "learning_rate": 4.292999999999997e-06, | |
| "loss": 0.019, | |
| "step": 9300 | |
| }, | |
| { | |
| "epoch": 54.65, | |
| "learning_rate": 3.694000000000003e-06, | |
| "loss": 0.0193, | |
| "step": 9400 | |
| }, | |
| { | |
| "epoch": 55.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46114289685205345, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46114289685205345, | |
| "eval_loss": 0.19589179754257202, | |
| "eval_mean_accuracy": 0.46114289685205345, | |
| "eval_mean_iou": 0.23057144842602673, | |
| "eval_overall_accuracy": 0.46114289685205345, | |
| "eval_runtime": 155.6457, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.199, | |
| "step": 9460 | |
| }, | |
| { | |
| "epoch": 55.23, | |
| "learning_rate": 3.0950000000000026e-06, | |
| "loss": 0.0156, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 55.81, | |
| "learning_rate": 2.496000000000002e-06, | |
| "loss": 0.0199, | |
| "step": 9600 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46593199138310437, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46593199138310437, | |
| "eval_loss": 0.1998891830444336, | |
| "eval_mean_accuracy": 0.46593199138310437, | |
| "eval_mean_iou": 0.23296599569155219, | |
| "eval_overall_accuracy": 0.46593199138310437, | |
| "eval_runtime": 155.91, | |
| "eval_samples_per_second": 0.391, | |
| "eval_steps_per_second": 0.199, | |
| "step": 9632 | |
| }, | |
| { | |
| "epoch": 56.4, | |
| "learning_rate": 1.8970000000000013e-06, | |
| "loss": 0.0167, | |
| "step": 9700 | |
| }, | |
| { | |
| "epoch": 56.98, | |
| "learning_rate": 1.298000000000001e-06, | |
| "loss": 0.0177, | |
| "step": 9800 | |
| }, | |
| { | |
| "epoch": 57.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.46389213824094877, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.46389213824094877, | |
| "eval_loss": 0.1943020224571228, | |
| "eval_mean_accuracy": 0.46389213824094877, | |
| "eval_mean_iou": 0.23194606912047439, | |
| "eval_overall_accuracy": 0.46389213824094877, | |
| "eval_runtime": 155.1998, | |
| "eval_samples_per_second": 0.393, | |
| "eval_steps_per_second": 0.2, | |
| "step": 9804 | |
| }, | |
| { | |
| "epoch": 57.56, | |
| "learning_rate": 6.990000000000005e-07, | |
| "loss": 0.019, | |
| "step": 9900 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4653181533900072, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4653181533900072, | |
| "eval_loss": 0.1925858110189438, | |
| "eval_mean_accuracy": 0.4653181533900072, | |
| "eval_mean_iou": 0.2326590766950036, | |
| "eval_overall_accuracy": 0.4653181533900072, | |
| "eval_runtime": 156.5809, | |
| "eval_samples_per_second": 0.39, | |
| "eval_steps_per_second": 0.198, | |
| "step": 9976 | |
| }, | |
| { | |
| "epoch": 58.14, | |
| "learning_rate": 1e-07, | |
| "loss": 0.0187, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 58.14, | |
| "eval_accuracy_background": NaN, | |
| "eval_accuracy_crack": 0.4657814273470617, | |
| "eval_iou_background": 0.0, | |
| "eval_iou_crack": 0.4657814273470617, | |
| "eval_loss": 0.19184677302837372, | |
| "eval_mean_accuracy": 0.4657814273470617, | |
| "eval_mean_iou": 0.23289071367353084, | |
| "eval_overall_accuracy": 0.4657814273470617, | |
| "eval_runtime": 155.5297, | |
| "eval_samples_per_second": 0.392, | |
| "eval_steps_per_second": 0.199, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 58.14, | |
| "step": 10000, | |
| "total_flos": 7.98337466892288e+18, | |
| "train_loss": 0.032576545763015746, | |
| "train_runtime": 106622.8006, | |
| "train_samples_per_second": 0.188, | |
| "train_steps_per_second": 0.094 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 10000, | |
| "num_train_epochs": 59, | |
| "save_steps": 500, | |
| "total_flos": 7.98337466892288e+18, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |