| { | |
| "best_metric": 0.22893720865249634, | |
| "best_model_checkpoint": "segformer-b0-finetuned-segments-sidewalk-outputs/checkpoint-1060", | |
| "epoch": 10.095238095238095, | |
| "global_step": 1060, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 5.9961904761904764e-05, | |
| "loss": 1.472, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "learning_rate": 5.992380952380952e-05, | |
| "loss": 1.4089, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 5.988571428571429e-05, | |
| "loss": 1.4269, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 5.984761904761905e-05, | |
| "loss": 1.3446, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 5.9809523809523814e-05, | |
| "loss": 1.2853, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 5.977142857142857e-05, | |
| "loss": 1.2711, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "learning_rate": 5.973333333333333e-05, | |
| "loss": 1.2145, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.9695238095238095e-05, | |
| "loss": 1.1127, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 5.965714285714286e-05, | |
| "loss": 1.1423, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 5.961904761904762e-05, | |
| "loss": 1.1317, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 5.958095238095238e-05, | |
| "loss": 0.9753, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 5.9542857142857146e-05, | |
| "loss": 0.9775, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 5.95047619047619e-05, | |
| "loss": 0.9756, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "learning_rate": 5.946666666666667e-05, | |
| "loss": 0.9749, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 5.9428571428571434e-05, | |
| "loss": 0.8604, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 5.939047619047619e-05, | |
| "loss": 0.8696, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 5.935238095238095e-05, | |
| "loss": 0.8161, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "learning_rate": 5.9314285714285715e-05, | |
| "loss": 0.8533, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 5.927619047619048e-05, | |
| "loss": 0.7615, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 5.923809523809524e-05, | |
| "loss": 0.8386, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_loss": 1.0543779134750366, | |
| "eval_mean_accuracy": 0.8366589095803226, | |
| "eval_mean_iou": 0.5602650673765782, | |
| "eval_overall_accuracy": 0.8498703161693132, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.7776434979114604, | |
| 0.8253308156950092, | |
| 0.9070024151344983 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7049721826312874, | |
| 0.7380231959439775, | |
| 0.798064890931048 | |
| ], | |
| "eval_runtime": 315.3001, | |
| "eval_samples_per_second": 0.663, | |
| "eval_steps_per_second": 0.086, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 5.92e-05, | |
| "loss": 0.7766, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "learning_rate": 5.9161904761904765e-05, | |
| "loss": 0.6393, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 5.912380952380953e-05, | |
| "loss": 0.6942, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 5.9085714285714283e-05, | |
| "loss": 0.6269, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 5.9047619047619046e-05, | |
| "loss": 0.6487, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 5.9009523809523815e-05, | |
| "loss": 0.6563, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "learning_rate": 5.897142857142857e-05, | |
| "loss": 0.7254, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 5.8933333333333334e-05, | |
| "loss": 0.6648, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 5.8895238095238096e-05, | |
| "loss": 0.7791, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 5.885714285714286e-05, | |
| "loss": 0.6511, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 5.881904761904762e-05, | |
| "loss": 0.5441, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 5.8780952380952384e-05, | |
| "loss": 0.6918, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 5.874285714285715e-05, | |
| "loss": 0.571, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 5.87047619047619e-05, | |
| "loss": 0.7064, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 5.8666666666666665e-05, | |
| "loss": 0.5314, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 5.862857142857143e-05, | |
| "loss": 0.5758, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 5.85904761904762e-05, | |
| "loss": 0.6291, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "learning_rate": 5.855238095238095e-05, | |
| "loss": 0.4326, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 5.8514285714285716e-05, | |
| "loss": 0.6433, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 5.847619047619048e-05, | |
| "loss": 0.549, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_loss": 0.4980611801147461, | |
| "eval_mean_accuracy": 0.8634102288693497, | |
| "eval_mean_iou": 0.5892082299969796, | |
| "eval_overall_accuracy": 0.8773069984207277, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.7999350264389063, | |
| 0.8609596327499256, | |
| 0.9293360274192173 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7551965869079645, | |
| 0.7735579253618415, | |
| 0.8280784077181124 | |
| ], | |
| "eval_runtime": 314.8358, | |
| "eval_samples_per_second": 0.664, | |
| "eval_steps_per_second": 0.086, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 5.8438095238095234e-05, | |
| "loss": 0.8976, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "learning_rate": 5.84e-05, | |
| "loss": 0.4434, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 5.8361904761904766e-05, | |
| "loss": 0.413, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "learning_rate": 5.832380952380953e-05, | |
| "loss": 0.659, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 5.8285714285714284e-05, | |
| "loss": 0.6785, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 5.824761904761905e-05, | |
| "loss": 0.5376, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 5.820952380952381e-05, | |
| "loss": 0.6132, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 5.817142857142857e-05, | |
| "loss": 0.67, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 5.8133333333333335e-05, | |
| "loss": 0.5007, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 5.80952380952381e-05, | |
| "loss": 0.4186, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 5.805714285714286e-05, | |
| "loss": 0.4819, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 5.8019047619047616e-05, | |
| "loss": 0.5443, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "learning_rate": 5.7980952380952385e-05, | |
| "loss": 0.4496, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 5.794285714285715e-05, | |
| "loss": 0.3826, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 5.790476190476191e-05, | |
| "loss": 0.5102, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 5.7866666666666666e-05, | |
| "loss": 0.379, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 5.782857142857143e-05, | |
| "loss": 0.3616, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "learning_rate": 5.779047619047619e-05, | |
| "loss": 0.3462, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 5.7752380952380954e-05, | |
| "loss": 0.3342, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 5.7714285714285716e-05, | |
| "loss": 0.4954, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_loss": 0.380948007106781, | |
| "eval_mean_accuracy": 0.8490936139573959, | |
| "eval_mean_iou": 0.5759863842794014, | |
| "eval_overall_accuracy": 0.8691094404645116, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.760582459857837, | |
| 0.825841310237451, | |
| 0.9608570717768997 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7292143753383956, | |
| 0.7682212470258261, | |
| 0.8065099147533837 | |
| ], | |
| "eval_runtime": 313.8647, | |
| "eval_samples_per_second": 0.666, | |
| "eval_steps_per_second": 0.086, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 5.767619047619048e-05, | |
| "loss": 0.4992, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 5.763809523809524e-05, | |
| "loss": 0.4134, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "learning_rate": 5.76e-05, | |
| "loss": 0.493, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 5.756190476190476e-05, | |
| "loss": 0.5919, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 5.752380952380953e-05, | |
| "loss": 0.5481, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 5.7485714285714285e-05, | |
| "loss": 0.44, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "learning_rate": 5.744761904761905e-05, | |
| "loss": 0.5553, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 5.740952380952381e-05, | |
| "loss": 0.5507, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 5.737142857142857e-05, | |
| "loss": 0.5008, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 5.7333333333333336e-05, | |
| "loss": 0.6853, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 5.72952380952381e-05, | |
| "loss": 0.6066, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 5.725714285714286e-05, | |
| "loss": 0.5662, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 5.7219047619047617e-05, | |
| "loss": 0.3265, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 5.718095238095238e-05, | |
| "loss": 0.3805, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 5.714285714285714e-05, | |
| "loss": 0.7227, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 5.710476190476191e-05, | |
| "loss": 0.4383, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 5.706666666666667e-05, | |
| "loss": 0.4192, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "learning_rate": 5.702857142857143e-05, | |
| "loss": 0.567, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 5.699047619047619e-05, | |
| "loss": 0.371, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 5.6952380952380955e-05, | |
| "loss": 0.6896, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "eval_loss": 0.3450314402580261, | |
| "eval_mean_accuracy": 0.8669350616514322, | |
| "eval_mean_iou": 0.5888186183543143, | |
| "eval_overall_accuracy": 0.879546250625928, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8130105265881395, | |
| 0.8398098998647948, | |
| 0.9479847585013623 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7491502094051885, | |
| 0.7739901747120044, | |
| 0.8321340893000639 | |
| ], | |
| "eval_runtime": 315.3219, | |
| "eval_samples_per_second": 0.663, | |
| "eval_steps_per_second": 0.086, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.691428571428572e-05, | |
| "loss": 0.2947, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 5.687619047619048e-05, | |
| "loss": 0.4821, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "learning_rate": 5.683809523809524e-05, | |
| "loss": 0.4562, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 5.68e-05, | |
| "loss": 0.5989, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.676190476190476e-05, | |
| "loss": 0.5344, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 5.6723809523809523e-05, | |
| "loss": 0.5657, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 5.668571428571429e-05, | |
| "loss": 0.3797, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 5.664761904761905e-05, | |
| "loss": 0.4565, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 5.660952380952381e-05, | |
| "loss": 0.4548, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.6571428571428574e-05, | |
| "loss": 0.3759, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 5.653333333333333e-05, | |
| "loss": 0.3752, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "learning_rate": 5.64952380952381e-05, | |
| "loss": 0.4069, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 5.645714285714286e-05, | |
| "loss": 0.3402, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 5.6419047619047624e-05, | |
| "loss": 0.4038, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 5.638095238095238e-05, | |
| "loss": 0.2863, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 5.634285714285714e-05, | |
| "loss": 0.3941, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 5.6304761904761905e-05, | |
| "loss": 0.4953, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "learning_rate": 5.626666666666667e-05, | |
| "loss": 0.6534, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 5.622857142857143e-05, | |
| "loss": 0.4104, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 5.619047619047619e-05, | |
| "loss": 0.4266, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_loss": 0.41068848967552185, | |
| "eval_mean_accuracy": 0.8424898745988824, | |
| "eval_mean_iou": 0.5514516806514472, | |
| "eval_overall_accuracy": 0.8385899984987446, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8486242752682404, | |
| 0.9222333214145084, | |
| 0.7566120271138982 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7433736615760196, | |
| 0.7222670788747563, | |
| 0.7401659821550131 | |
| ], | |
| "eval_runtime": 315.9092, | |
| "eval_samples_per_second": 0.662, | |
| "eval_steps_per_second": 0.085, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 5.6152380952380956e-05, | |
| "loss": 0.5174, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 5.611428571428571e-05, | |
| "loss": 0.4812, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 5.607619047619048e-05, | |
| "loss": 0.406, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 5.603809523809524e-05, | |
| "loss": 0.4126, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 5.6e-05, | |
| "loss": 0.8115, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 5.596190476190476e-05, | |
| "loss": 0.361, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 5.5923809523809524e-05, | |
| "loss": 0.4361, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "learning_rate": 5.588571428571429e-05, | |
| "loss": 0.4223, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "learning_rate": 5.584761904761905e-05, | |
| "loss": 0.3695, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "learning_rate": 5.580952380952381e-05, | |
| "loss": 0.3148, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 5.5771428571428575e-05, | |
| "loss": 0.5464, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "learning_rate": 5.573333333333333e-05, | |
| "loss": 0.761, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 5.569523809523809e-05, | |
| "loss": 0.403, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 1.09, | |
| "learning_rate": 5.5657142857142856e-05, | |
| "loss": 0.2761, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 5.5619047619047625e-05, | |
| "loss": 0.5985, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 5.558095238095238e-05, | |
| "loss": 0.345, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 1.11, | |
| "learning_rate": 5.5542857142857143e-05, | |
| "loss": 0.5105, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 1.12, | |
| "learning_rate": 5.5504761904761906e-05, | |
| "loss": 0.3575, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 5.546666666666667e-05, | |
| "loss": 0.4035, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 5.542857142857143e-05, | |
| "loss": 0.4245, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_loss": 0.4061141312122345, | |
| "eval_mean_accuracy": 0.832621857735217, | |
| "eval_mean_iou": 0.528357891036741, | |
| "eval_overall_accuracy": 0.8278413568302248, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8819502206421347, | |
| 0.6473606974527525, | |
| 0.9685546551107636 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.6764486263856148, | |
| 0.6283979428355019, | |
| 0.8085849949258472 | |
| ], | |
| "eval_runtime": 312.2032, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 5.5390476190476194e-05, | |
| "loss": 0.5024, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "learning_rate": 5.5352380952380956e-05, | |
| "loss": 0.5455, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "learning_rate": 5.531428571428571e-05, | |
| "loss": 0.5479, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 5.5276190476190475e-05, | |
| "loss": 0.6326, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 1.19, | |
| "learning_rate": 5.523809523809524e-05, | |
| "loss": 0.4424, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "learning_rate": 5.520000000000001e-05, | |
| "loss": 0.3308, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 5.516190476190476e-05, | |
| "loss": 0.3533, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 5.5123809523809525e-05, | |
| "loss": 0.6428, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 5.508571428571429e-05, | |
| "loss": 0.4554, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 1.24, | |
| "learning_rate": 5.5047619047619044e-05, | |
| "loss": 0.4097, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 5.500952380952381e-05, | |
| "loss": 0.4258, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 5.4971428571428576e-05, | |
| "loss": 0.5244, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 1.27, | |
| "learning_rate": 5.493333333333334e-05, | |
| "loss": 0.4679, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 1.28, | |
| "learning_rate": 5.4895238095238094e-05, | |
| "loss": 0.471, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 5.4857142857142857e-05, | |
| "loss": 0.4753, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 5.481904761904762e-05, | |
| "loss": 0.475, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 5.478095238095238e-05, | |
| "loss": 0.3016, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 5.4742857142857144e-05, | |
| "loss": 0.3651, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "learning_rate": 5.470476190476191e-05, | |
| "loss": 0.4252, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "learning_rate": 5.466666666666667e-05, | |
| "loss": 0.281, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 1.33, | |
| "eval_loss": 0.44387152791023254, | |
| "eval_mean_accuracy": 0.8246619435039876, | |
| "eval_mean_iou": 0.5229897720854825, | |
| "eval_overall_accuracy": 0.809141287455264, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.887260575001495, | |
| 0.8835416737103848, | |
| 0.7031835818000829 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7324973852783735, | |
| 0.6695534903221299, | |
| 0.6899082127414266 | |
| ], | |
| "eval_runtime": 310.3516, | |
| "eval_samples_per_second": 0.673, | |
| "eval_steps_per_second": 0.087, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 5.4628571428571425e-05, | |
| "loss": 0.3389, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "learning_rate": 5.4590476190476195e-05, | |
| "loss": 0.4138, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 5.455238095238096e-05, | |
| "loss": 0.2875, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "learning_rate": 5.451428571428571e-05, | |
| "loss": 0.7433, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 5.4476190476190476e-05, | |
| "loss": 0.3732, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 5.443809523809524e-05, | |
| "loss": 0.3624, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 1.4, | |
| "learning_rate": 5.44e-05, | |
| "loss": 0.399, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 1.41, | |
| "learning_rate": 5.4361904761904764e-05, | |
| "loss": 0.3645, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "learning_rate": 5.4323809523809526e-05, | |
| "loss": 0.3711, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 5.428571428571429e-05, | |
| "loss": 0.4215, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 5.424761904761905e-05, | |
| "loss": 0.2449, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "learning_rate": 5.420952380952381e-05, | |
| "loss": 0.4038, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 5.417142857142857e-05, | |
| "loss": 0.2776, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 5.413333333333334e-05, | |
| "loss": 0.4293, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "learning_rate": 5.4095238095238095e-05, | |
| "loss": 0.3277, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 1.49, | |
| "learning_rate": 5.405714285714286e-05, | |
| "loss": 0.4322, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 5.401904761904762e-05, | |
| "loss": 0.2411, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "learning_rate": 5.398095238095238e-05, | |
| "loss": 0.4037, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 5.3942857142857145e-05, | |
| "loss": 0.3943, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 5.390476190476191e-05, | |
| "loss": 0.4457, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "eval_loss": 0.3021400570869446, | |
| "eval_mean_accuracy": 0.8889113155174556, | |
| "eval_mean_iou": 0.6126234046585269, | |
| "eval_overall_accuracy": 0.8969571625964055, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8505860227111769, | |
| 0.8981532651603867, | |
| 0.9179946586808034 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7844121650402455, | |
| 0.8062572507894359, | |
| 0.8598242028044263 | |
| ], | |
| "eval_runtime": 312.7754, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 1.53, | |
| "learning_rate": 5.386666666666667e-05, | |
| "loss": 0.2614, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 5.3828571428571426e-05, | |
| "loss": 0.3583, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 5.379047619047619e-05, | |
| "loss": 0.2375, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 1.56, | |
| "learning_rate": 5.375238095238095e-05, | |
| "loss": 0.31, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "learning_rate": 5.371428571428572e-05, | |
| "loss": 0.3885, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 1.58, | |
| "learning_rate": 5.367619047619048e-05, | |
| "loss": 0.2915, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 5.363809523809524e-05, | |
| "loss": 0.6327, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "learning_rate": 5.36e-05, | |
| "loss": 0.2513, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 1.61, | |
| "learning_rate": 5.356190476190476e-05, | |
| "loss": 0.3909, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 5.352380952380953e-05, | |
| "loss": 0.8661, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 5.348571428571429e-05, | |
| "loss": 0.4144, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 1.64, | |
| "learning_rate": 5.344761904761905e-05, | |
| "loss": 0.5726, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "learning_rate": 5.340952380952381e-05, | |
| "loss": 0.4359, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 1.66, | |
| "learning_rate": 5.337142857142857e-05, | |
| "loss": 0.2934, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 5.333333333333333e-05, | |
| "loss": 0.3293, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 1.68, | |
| "learning_rate": 5.3295238095238096e-05, | |
| "loss": 0.3615, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 5.325714285714286e-05, | |
| "loss": 0.614, | |
| "step": 177 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 5.321904761904762e-05, | |
| "loss": 0.816, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 1.7, | |
| "learning_rate": 5.3180952380952384e-05, | |
| "loss": 0.3261, | |
| "step": 179 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "learning_rate": 5.314285714285714e-05, | |
| "loss": 0.2589, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 1.71, | |
| "eval_loss": 0.29441654682159424, | |
| "eval_mean_accuracy": 0.8725838860282522, | |
| "eval_mean_iou": 0.6026391825489533, | |
| "eval_overall_accuracy": 0.8941170143594536, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.7677799780314912, | |
| 0.9124391209303104, | |
| 0.9375325591229552 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7502689560480669, | |
| 0.8017133783355007, | |
| 0.8585743958122456 | |
| ], | |
| "eval_runtime": 313.6198, | |
| "eval_samples_per_second": 0.666, | |
| "eval_steps_per_second": 0.086, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 1.72, | |
| "learning_rate": 5.310476190476191e-05, | |
| "loss": 0.6329, | |
| "step": 181 | |
| }, | |
| { | |
| "epoch": 1.73, | |
| "learning_rate": 5.306666666666667e-05, | |
| "loss": 0.3609, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 1.74, | |
| "learning_rate": 5.3028571428571434e-05, | |
| "loss": 0.3052, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 5.299047619047619e-05, | |
| "loss": 0.4732, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 1.76, | |
| "learning_rate": 5.295238095238095e-05, | |
| "loss": 0.6863, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "learning_rate": 5.2914285714285715e-05, | |
| "loss": 0.3622, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 5.287619047619048e-05, | |
| "loss": 0.3861, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 1.79, | |
| "learning_rate": 5.283809523809524e-05, | |
| "loss": 0.5174, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 1.8, | |
| "learning_rate": 5.28e-05, | |
| "loss": 0.237, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 1.81, | |
| "learning_rate": 5.2761904761904765e-05, | |
| "loss": 0.4167, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 5.272380952380952e-05, | |
| "loss": 0.2413, | |
| "step": 191 | |
| }, | |
| { | |
| "epoch": 1.83, | |
| "learning_rate": 5.2685714285714284e-05, | |
| "loss": 0.2308, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 1.84, | |
| "learning_rate": 5.264761904761905e-05, | |
| "loss": 0.5457, | |
| "step": 193 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 5.260952380952381e-05, | |
| "loss": 0.479, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 1.86, | |
| "learning_rate": 5.257142857142857e-05, | |
| "loss": 0.2479, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 1.87, | |
| "learning_rate": 5.2533333333333334e-05, | |
| "loss": 0.4245, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 1.88, | |
| "learning_rate": 5.24952380952381e-05, | |
| "loss": 0.2614, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 5.245714285714286e-05, | |
| "loss": 0.257, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 5.241904761904762e-05, | |
| "loss": 0.1931, | |
| "step": 199 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 5.2380952380952384e-05, | |
| "loss": 0.2871, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "eval_loss": 0.3007434010505676, | |
| "eval_mean_accuracy": 0.8712892341637648, | |
| "eval_mean_iou": 0.5993191575506917, | |
| "eval_overall_accuracy": 0.8907009691303089, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.7810368550050697, | |
| 0.8786080998148654, | |
| 0.954222747671359 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7540276285473494, | |
| 0.8016226333610752, | |
| 0.8416263682943418 | |
| ], | |
| "eval_runtime": 311.3111, | |
| "eval_samples_per_second": 0.671, | |
| "eval_steps_per_second": 0.087, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.91, | |
| "learning_rate": 5.234285714285714e-05, | |
| "loss": 0.4575, | |
| "step": 201 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 5.23047619047619e-05, | |
| "loss": 0.2498, | |
| "step": 202 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "learning_rate": 5.2266666666666665e-05, | |
| "loss": 0.3256, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "learning_rate": 5.2228571428571435e-05, | |
| "loss": 0.2222, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "learning_rate": 5.219047619047619e-05, | |
| "loss": 0.2262, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 1.96, | |
| "learning_rate": 5.215238095238095e-05, | |
| "loss": 0.2599, | |
| "step": 206 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 5.2114285714285716e-05, | |
| "loss": 0.3097, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 1.98, | |
| "learning_rate": 5.207619047619048e-05, | |
| "loss": 0.2564, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 1.99, | |
| "learning_rate": 5.203809523809524e-05, | |
| "loss": 0.3888, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 5.2000000000000004e-05, | |
| "loss": 0.6778, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "learning_rate": 5.1961904761904766e-05, | |
| "loss": 0.4224, | |
| "step": 211 | |
| }, | |
| { | |
| "epoch": 2.02, | |
| "learning_rate": 5.192380952380952e-05, | |
| "loss": 0.6016, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 2.03, | |
| "learning_rate": 5.1885714285714285e-05, | |
| "loss": 0.5861, | |
| "step": 213 | |
| }, | |
| { | |
| "epoch": 2.04, | |
| "learning_rate": 5.184761904761905e-05, | |
| "loss": 0.5208, | |
| "step": 214 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "learning_rate": 5.1809523809523817e-05, | |
| "loss": 0.4096, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 2.06, | |
| "learning_rate": 5.177142857142857e-05, | |
| "loss": 0.6556, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 2.07, | |
| "learning_rate": 5.1733333333333335e-05, | |
| "loss": 0.3758, | |
| "step": 217 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 5.16952380952381e-05, | |
| "loss": 0.4951, | |
| "step": 218 | |
| }, | |
| { | |
| "epoch": 2.09, | |
| "learning_rate": 5.165714285714285e-05, | |
| "loss": 0.2416, | |
| "step": 219 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "learning_rate": 5.161904761904762e-05, | |
| "loss": 0.23, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "eval_loss": 0.32162097096443176, | |
| "eval_mean_accuracy": 0.8645377767472343, | |
| "eval_mean_iou": 0.5709697316994892, | |
| "eval_overall_accuracy": 0.863966833417088, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.884221127126277, | |
| 0.7490512239676983, | |
| 0.9603409791477273 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7310856158933805, | |
| 0.7190605259524047, | |
| 0.8337327849521717 | |
| ], | |
| "eval_runtime": 314.0312, | |
| "eval_samples_per_second": 0.666, | |
| "eval_steps_per_second": 0.086, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "learning_rate": 5.1580952380952385e-05, | |
| "loss": 0.3969, | |
| "step": 221 | |
| }, | |
| { | |
| "epoch": 2.11, | |
| "learning_rate": 5.154285714285715e-05, | |
| "loss": 0.3521, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 2.12, | |
| "learning_rate": 5.1504761904761904e-05, | |
| "loss": 0.4443, | |
| "step": 223 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "learning_rate": 5.1466666666666666e-05, | |
| "loss": 0.2815, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 2.14, | |
| "learning_rate": 5.142857142857143e-05, | |
| "loss": 0.4571, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "learning_rate": 5.139047619047619e-05, | |
| "loss": 0.5937, | |
| "step": 226 | |
| }, | |
| { | |
| "epoch": 2.16, | |
| "learning_rate": 5.1352380952380954e-05, | |
| "loss": 0.2095, | |
| "step": 227 | |
| }, | |
| { | |
| "epoch": 2.17, | |
| "learning_rate": 5.131428571428572e-05, | |
| "loss": 0.5294, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 2.18, | |
| "learning_rate": 5.127619047619048e-05, | |
| "loss": 0.4653, | |
| "step": 229 | |
| }, | |
| { | |
| "epoch": 2.19, | |
| "learning_rate": 5.1238095238095235e-05, | |
| "loss": 0.284, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 5.1200000000000004e-05, | |
| "loss": 0.6787, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 2.21, | |
| "learning_rate": 5.116190476190477e-05, | |
| "loss": 0.4767, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "learning_rate": 5.112380952380952e-05, | |
| "loss": 0.4276, | |
| "step": 233 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 5.1085714285714285e-05, | |
| "loss": 0.4677, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 2.24, | |
| "learning_rate": 5.104761904761905e-05, | |
| "loss": 0.237, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "learning_rate": 5.100952380952381e-05, | |
| "loss": 0.5497, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 2.26, | |
| "learning_rate": 5.097142857142857e-05, | |
| "loss": 0.3405, | |
| "step": 237 | |
| }, | |
| { | |
| "epoch": 2.27, | |
| "learning_rate": 5.0933333333333336e-05, | |
| "loss": 0.3429, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 5.08952380952381e-05, | |
| "loss": 0.7915, | |
| "step": 239 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "learning_rate": 5.0857142857142854e-05, | |
| "loss": 0.2839, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 2.29, | |
| "eval_loss": 0.2780180871486664, | |
| "eval_mean_accuracy": 0.8821036680107271, | |
| "eval_mean_iou": 0.6107890967187517, | |
| "eval_overall_accuracy": 0.8985556568559354, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8008862647185511, | |
| 0.9202976905825232, | |
| 0.9251270487311074 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7731007660763711, | |
| 0.8129342871319721, | |
| 0.8571213336666635 | |
| ], | |
| "eval_runtime": 312.5391, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "learning_rate": 5.081904761904762e-05, | |
| "loss": 0.3284, | |
| "step": 241 | |
| }, | |
| { | |
| "epoch": 2.3, | |
| "learning_rate": 5.078095238095238e-05, | |
| "loss": 0.4052, | |
| "step": 242 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 5.074285714285715e-05, | |
| "loss": 0.4858, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 2.32, | |
| "learning_rate": 5.0704761904761905e-05, | |
| "loss": 0.4967, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 2.33, | |
| "learning_rate": 5.066666666666667e-05, | |
| "loss": 0.3281, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 2.34, | |
| "learning_rate": 5.062857142857143e-05, | |
| "loss": 0.3635, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 5.059047619047619e-05, | |
| "loss": 0.2575, | |
| "step": 247 | |
| }, | |
| { | |
| "epoch": 2.36, | |
| "learning_rate": 5.0552380952380955e-05, | |
| "loss": 0.2789, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 2.37, | |
| "learning_rate": 5.051428571428572e-05, | |
| "loss": 0.3884, | |
| "step": 249 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 5.047619047619048e-05, | |
| "loss": 0.3663, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 2.39, | |
| "learning_rate": 5.0438095238095236e-05, | |
| "loss": 0.4468, | |
| "step": 251 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "learning_rate": 5.04e-05, | |
| "loss": 0.3323, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 2.41, | |
| "learning_rate": 5.036190476190476e-05, | |
| "loss": 0.3114, | |
| "step": 253 | |
| }, | |
| { | |
| "epoch": 2.42, | |
| "learning_rate": 5.032380952380953e-05, | |
| "loss": 0.1988, | |
| "step": 254 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "learning_rate": 5.0285714285714286e-05, | |
| "loss": 0.3982, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 2.44, | |
| "learning_rate": 5.024761904761905e-05, | |
| "loss": 0.1583, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "learning_rate": 5.020952380952381e-05, | |
| "loss": 0.4411, | |
| "step": 257 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "learning_rate": 5.017142857142857e-05, | |
| "loss": 0.1727, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 2.47, | |
| "learning_rate": 5.013333333333334e-05, | |
| "loss": 0.3514, | |
| "step": 259 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "learning_rate": 5.00952380952381e-05, | |
| "loss": 0.463, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 2.48, | |
| "eval_loss": 0.279310405254364, | |
| "eval_mean_accuracy": 0.8883065508891255, | |
| "eval_mean_iou": 0.6022860364033692, | |
| "eval_overall_accuracy": 0.8919448289053391, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8761643791493744, | |
| 0.8573653386226961, | |
| 0.9313899348953056 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7622330433136886, | |
| 0.7814589083024592, | |
| 0.8654521939973289 | |
| ], | |
| "eval_runtime": 313.7341, | |
| "eval_samples_per_second": 0.666, | |
| "eval_steps_per_second": 0.086, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 2.49, | |
| "learning_rate": 5.005714285714286e-05, | |
| "loss": 0.2366, | |
| "step": 261 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 5.001904761904762e-05, | |
| "loss": 0.1876, | |
| "step": 262 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 4.998095238095238e-05, | |
| "loss": 0.3151, | |
| "step": 263 | |
| }, | |
| { | |
| "epoch": 2.51, | |
| "learning_rate": 4.994285714285714e-05, | |
| "loss": 0.3859, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 2.52, | |
| "learning_rate": 4.9904761904761905e-05, | |
| "loss": 0.3184, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 2.53, | |
| "learning_rate": 4.986666666666667e-05, | |
| "loss": 0.2871, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "learning_rate": 4.982857142857143e-05, | |
| "loss": 0.3372, | |
| "step": 267 | |
| }, | |
| { | |
| "epoch": 2.55, | |
| "learning_rate": 4.979047619047619e-05, | |
| "loss": 0.5642, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 2.56, | |
| "learning_rate": 4.975238095238095e-05, | |
| "loss": 0.3166, | |
| "step": 269 | |
| }, | |
| { | |
| "epoch": 2.57, | |
| "learning_rate": 4.971428571428572e-05, | |
| "loss": 0.3955, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "learning_rate": 4.967619047619048e-05, | |
| "loss": 0.3763, | |
| "step": 271 | |
| }, | |
| { | |
| "epoch": 2.59, | |
| "learning_rate": 4.963809523809524e-05, | |
| "loss": 0.1709, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 2.6, | |
| "learning_rate": 4.96e-05, | |
| "loss": 0.3382, | |
| "step": 273 | |
| }, | |
| { | |
| "epoch": 2.61, | |
| "learning_rate": 4.956190476190476e-05, | |
| "loss": 0.1875, | |
| "step": 274 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 4.9523809523809525e-05, | |
| "loss": 0.2902, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 2.63, | |
| "learning_rate": 4.948571428571429e-05, | |
| "loss": 0.4262, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 2.64, | |
| "learning_rate": 4.944761904761905e-05, | |
| "loss": 0.3207, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 4.940952380952381e-05, | |
| "loss": 0.1216, | |
| "step": 278 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 4.9371428571428575e-05, | |
| "loss": 0.2771, | |
| "step": 279 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "learning_rate": 4.933333333333333e-05, | |
| "loss": 0.3537, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "eval_loss": 0.2860298752784729, | |
| "eval_mean_accuracy": 0.887696394347537, | |
| "eval_mean_iou": 0.6021899033120692, | |
| "eval_overall_accuracy": 0.8897460425824502, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8829994076871828, | |
| 0.8557564680116155, | |
| 0.9243333073438128 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7669904415490422, | |
| 0.7801697584725585, | |
| 0.8615994132266763 | |
| ], | |
| "eval_runtime": 312.7601, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 2.68, | |
| "learning_rate": 4.9295238095238093e-05, | |
| "loss": 0.2436, | |
| "step": 281 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 4.925714285714286e-05, | |
| "loss": 0.2764, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "learning_rate": 4.921904761904762e-05, | |
| "loss": 0.2755, | |
| "step": 283 | |
| }, | |
| { | |
| "epoch": 2.7, | |
| "learning_rate": 4.918095238095238e-05, | |
| "loss": 0.4328, | |
| "step": 284 | |
| }, | |
| { | |
| "epoch": 2.71, | |
| "learning_rate": 4.9142857142857144e-05, | |
| "loss": 0.3295, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 2.72, | |
| "learning_rate": 4.9104761904761906e-05, | |
| "loss": 0.2337, | |
| "step": 286 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 4.906666666666667e-05, | |
| "loss": 0.2371, | |
| "step": 287 | |
| }, | |
| { | |
| "epoch": 2.74, | |
| "learning_rate": 4.902857142857143e-05, | |
| "loss": 0.285, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "learning_rate": 4.8990476190476194e-05, | |
| "loss": 0.3677, | |
| "step": 289 | |
| }, | |
| { | |
| "epoch": 2.76, | |
| "learning_rate": 4.895238095238095e-05, | |
| "loss": 0.4493, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 4.891428571428571e-05, | |
| "loss": 0.197, | |
| "step": 291 | |
| }, | |
| { | |
| "epoch": 2.78, | |
| "learning_rate": 4.8876190476190475e-05, | |
| "loss": 0.6239, | |
| "step": 292 | |
| }, | |
| { | |
| "epoch": 2.79, | |
| "learning_rate": 4.8838095238095245e-05, | |
| "loss": 0.4685, | |
| "step": 293 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "learning_rate": 4.88e-05, | |
| "loss": 0.3024, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 4.876190476190476e-05, | |
| "loss": 0.2825, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 2.82, | |
| "learning_rate": 4.8723809523809526e-05, | |
| "loss": 0.1946, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 2.83, | |
| "learning_rate": 4.868571428571428e-05, | |
| "loss": 0.1686, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 2.84, | |
| "learning_rate": 4.864761904761905e-05, | |
| "loss": 0.3235, | |
| "step": 298 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "learning_rate": 4.860952380952381e-05, | |
| "loss": 0.2423, | |
| "step": 299 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "learning_rate": 4.8571428571428576e-05, | |
| "loss": 0.2906, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.86, | |
| "eval_loss": 0.2770409882068634, | |
| "eval_mean_accuracy": 0.8932940241426798, | |
| "eval_mean_iou": 0.6104367713847434, | |
| "eval_overall_accuracy": 0.8983910360796801, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8738388220063682, | |
| 0.8664961147704294, | |
| 0.9395471356512414 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7733953872018862, | |
| 0.799248086052402, | |
| 0.8691036122846855 | |
| ], | |
| "eval_runtime": 312.3081, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.87, | |
| "learning_rate": 4.853333333333333e-05, | |
| "loss": 0.1998, | |
| "step": 301 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 4.8495238095238094e-05, | |
| "loss": 0.6462, | |
| "step": 302 | |
| }, | |
| { | |
| "epoch": 2.89, | |
| "learning_rate": 4.845714285714286e-05, | |
| "loss": 0.3022, | |
| "step": 303 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "learning_rate": 4.841904761904762e-05, | |
| "loss": 0.6818, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 2.9, | |
| "learning_rate": 4.838095238095238e-05, | |
| "loss": 0.5056, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 2.91, | |
| "learning_rate": 4.8342857142857145e-05, | |
| "loss": 0.3305, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 4.830476190476191e-05, | |
| "loss": 0.2911, | |
| "step": 307 | |
| }, | |
| { | |
| "epoch": 2.93, | |
| "learning_rate": 4.826666666666666e-05, | |
| "loss": 0.3916, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "learning_rate": 4.822857142857143e-05, | |
| "loss": 0.2724, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "learning_rate": 4.8190476190476195e-05, | |
| "loss": 0.3426, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "learning_rate": 4.815238095238096e-05, | |
| "loss": 0.3998, | |
| "step": 311 | |
| }, | |
| { | |
| "epoch": 2.97, | |
| "learning_rate": 4.8114285714285713e-05, | |
| "loss": 0.1748, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 2.98, | |
| "learning_rate": 4.8076190476190476e-05, | |
| "loss": 0.5457, | |
| "step": 313 | |
| }, | |
| { | |
| "epoch": 2.99, | |
| "learning_rate": 4.803809523809524e-05, | |
| "loss": 0.2426, | |
| "step": 314 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 4.8e-05, | |
| "loss": 0.1493, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "learning_rate": 4.7961904761904764e-05, | |
| "loss": 0.3853, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 3.02, | |
| "learning_rate": 4.7923809523809526e-05, | |
| "loss": 0.2818, | |
| "step": 317 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "learning_rate": 4.788571428571429e-05, | |
| "loss": 0.1526, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 3.04, | |
| "learning_rate": 4.7847619047619045e-05, | |
| "loss": 0.1977, | |
| "step": 319 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "learning_rate": 4.780952380952381e-05, | |
| "loss": 0.3485, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "eval_loss": 0.2659623920917511, | |
| "eval_mean_accuracy": 0.8879929101898897, | |
| "eval_mean_iou": 0.6155845055719633, | |
| "eval_overall_accuracy": 0.9023157014739691, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8192706671564985, | |
| 0.9078131824936025, | |
| 0.9368948809195676 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7842661374447858, | |
| 0.8153351299586297, | |
| 0.862736754884438 | |
| ], | |
| "eval_runtime": 313.3134, | |
| "eval_samples_per_second": 0.667, | |
| "eval_steps_per_second": 0.086, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 3.06, | |
| "learning_rate": 4.777142857142858e-05, | |
| "loss": 0.1561, | |
| "step": 321 | |
| }, | |
| { | |
| "epoch": 3.07, | |
| "learning_rate": 4.773333333333333e-05, | |
| "loss": 0.2202, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "learning_rate": 4.7695238095238095e-05, | |
| "loss": 0.372, | |
| "step": 323 | |
| }, | |
| { | |
| "epoch": 3.09, | |
| "learning_rate": 4.765714285714286e-05, | |
| "loss": 0.1461, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "learning_rate": 4.761904761904762e-05, | |
| "loss": 0.4741, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "learning_rate": 4.758095238095238e-05, | |
| "loss": 0.1862, | |
| "step": 326 | |
| }, | |
| { | |
| "epoch": 3.11, | |
| "learning_rate": 4.7542857142857146e-05, | |
| "loss": 0.442, | |
| "step": 327 | |
| }, | |
| { | |
| "epoch": 3.12, | |
| "learning_rate": 4.750476190476191e-05, | |
| "loss": 0.8299, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 3.13, | |
| "learning_rate": 4.7466666666666664e-05, | |
| "loss": 0.2564, | |
| "step": 329 | |
| }, | |
| { | |
| "epoch": 3.14, | |
| "learning_rate": 4.7428571428571427e-05, | |
| "loss": 0.3218, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "learning_rate": 4.739047619047619e-05, | |
| "loss": 0.2241, | |
| "step": 331 | |
| }, | |
| { | |
| "epoch": 3.16, | |
| "learning_rate": 4.735238095238096e-05, | |
| "loss": 0.3931, | |
| "step": 332 | |
| }, | |
| { | |
| "epoch": 3.17, | |
| "learning_rate": 4.7314285714285714e-05, | |
| "loss": 0.425, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 4.727619047619048e-05, | |
| "loss": 0.3604, | |
| "step": 334 | |
| }, | |
| { | |
| "epoch": 3.19, | |
| "learning_rate": 4.723809523809524e-05, | |
| "loss": 0.3815, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "learning_rate": 4.7199999999999995e-05, | |
| "loss": 0.3587, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 3.21, | |
| "learning_rate": 4.7161904761904765e-05, | |
| "loss": 0.1845, | |
| "step": 337 | |
| }, | |
| { | |
| "epoch": 3.22, | |
| "learning_rate": 4.712380952380953e-05, | |
| "loss": 0.5346, | |
| "step": 338 | |
| }, | |
| { | |
| "epoch": 3.23, | |
| "learning_rate": 4.708571428571429e-05, | |
| "loss": 0.1921, | |
| "step": 339 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "learning_rate": 4.7047619047619046e-05, | |
| "loss": 0.1602, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 3.24, | |
| "eval_loss": 0.2709605097770691, | |
| "eval_mean_accuracy": 0.8948955922355039, | |
| "eval_mean_iou": 0.6063466561449442, | |
| "eval_overall_accuracy": 0.8937460989878462, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9067312582891783, | |
| 0.8505217474158518, | |
| 0.9274337710014813 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7594876497214135, | |
| 0.7886087104385111, | |
| 0.8772902644198521 | |
| ], | |
| "eval_runtime": 313.2763, | |
| "eval_samples_per_second": 0.667, | |
| "eval_steps_per_second": 0.086, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "learning_rate": 4.700952380952381e-05, | |
| "loss": 0.6578, | |
| "step": 341 | |
| }, | |
| { | |
| "epoch": 3.26, | |
| "learning_rate": 4.697142857142857e-05, | |
| "loss": 0.2533, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "learning_rate": 4.693333333333334e-05, | |
| "loss": 0.418, | |
| "step": 343 | |
| }, | |
| { | |
| "epoch": 3.28, | |
| "learning_rate": 4.6895238095238096e-05, | |
| "loss": 0.2251, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 3.29, | |
| "learning_rate": 4.685714285714286e-05, | |
| "loss": 0.7479, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 4.681904761904762e-05, | |
| "loss": 0.1427, | |
| "step": 346 | |
| }, | |
| { | |
| "epoch": 3.3, | |
| "learning_rate": 4.678095238095238e-05, | |
| "loss": 0.1905, | |
| "step": 347 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 4.6742857142857146e-05, | |
| "loss": 0.1862, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 3.32, | |
| "learning_rate": 4.670476190476191e-05, | |
| "loss": 0.1296, | |
| "step": 349 | |
| }, | |
| { | |
| "epoch": 3.33, | |
| "learning_rate": 4.666666666666667e-05, | |
| "loss": 0.4282, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "learning_rate": 4.662857142857143e-05, | |
| "loss": 0.1705, | |
| "step": 351 | |
| }, | |
| { | |
| "epoch": 3.35, | |
| "learning_rate": 4.659047619047619e-05, | |
| "loss": 0.4308, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 3.36, | |
| "learning_rate": 4.655238095238095e-05, | |
| "loss": 0.2732, | |
| "step": 353 | |
| }, | |
| { | |
| "epoch": 3.37, | |
| "learning_rate": 4.6514285714285715e-05, | |
| "loss": 0.2385, | |
| "step": 354 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 4.647619047619048e-05, | |
| "loss": 0.1601, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 3.39, | |
| "learning_rate": 4.643809523809524e-05, | |
| "loss": 0.233, | |
| "step": 356 | |
| }, | |
| { | |
| "epoch": 3.4, | |
| "learning_rate": 4.64e-05, | |
| "loss": 0.1628, | |
| "step": 357 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 4.636190476190476e-05, | |
| "loss": 0.2496, | |
| "step": 358 | |
| }, | |
| { | |
| "epoch": 3.42, | |
| "learning_rate": 4.632380952380953e-05, | |
| "loss": 0.1727, | |
| "step": 359 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "learning_rate": 4.628571428571429e-05, | |
| "loss": 0.166, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 3.43, | |
| "eval_loss": 0.2910594344139099, | |
| "eval_mean_accuracy": 0.8815946624860965, | |
| "eval_mean_iou": 0.6030303298365564, | |
| "eval_overall_accuracy": 0.8897790507680863, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8535320100393524, | |
| 0.8170588779706988, | |
| 0.9741930994482385 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7971473831491913, | |
| 0.7779674193668806, | |
| 0.8370065168301534 | |
| ], | |
| "eval_runtime": 312.7227, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 3.44, | |
| "learning_rate": 4.6247619047619047e-05, | |
| "loss": 0.492, | |
| "step": 361 | |
| }, | |
| { | |
| "epoch": 3.45, | |
| "learning_rate": 4.620952380952381e-05, | |
| "loss": 0.4276, | |
| "step": 362 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 4.617142857142857e-05, | |
| "loss": 0.1725, | |
| "step": 363 | |
| }, | |
| { | |
| "epoch": 3.47, | |
| "learning_rate": 4.6133333333333334e-05, | |
| "loss": 0.36, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 3.48, | |
| "learning_rate": 4.60952380952381e-05, | |
| "loss": 0.3325, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 3.49, | |
| "learning_rate": 4.605714285714286e-05, | |
| "loss": 0.3038, | |
| "step": 366 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 4.601904761904762e-05, | |
| "loss": 0.3742, | |
| "step": 367 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "learning_rate": 4.598095238095238e-05, | |
| "loss": 0.6946, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 3.51, | |
| "learning_rate": 4.594285714285714e-05, | |
| "loss": 0.2969, | |
| "step": 369 | |
| }, | |
| { | |
| "epoch": 3.52, | |
| "learning_rate": 4.59047619047619e-05, | |
| "loss": 0.6416, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 3.53, | |
| "learning_rate": 4.586666666666667e-05, | |
| "loss": 0.211, | |
| "step": 371 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "learning_rate": 4.582857142857143e-05, | |
| "loss": 0.2061, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 3.55, | |
| "learning_rate": 4.579047619047619e-05, | |
| "loss": 0.118, | |
| "step": 373 | |
| }, | |
| { | |
| "epoch": 3.56, | |
| "learning_rate": 4.5752380952380953e-05, | |
| "loss": 0.2502, | |
| "step": 374 | |
| }, | |
| { | |
| "epoch": 3.57, | |
| "learning_rate": 4.5714285714285716e-05, | |
| "loss": 0.3165, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 3.58, | |
| "learning_rate": 4.567619047619048e-05, | |
| "loss": 0.3637, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 3.59, | |
| "learning_rate": 4.563809523809524e-05, | |
| "loss": 0.2223, | |
| "step": 377 | |
| }, | |
| { | |
| "epoch": 3.6, | |
| "learning_rate": 4.5600000000000004e-05, | |
| "loss": 0.4902, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 3.61, | |
| "learning_rate": 4.556190476190476e-05, | |
| "loss": 0.2172, | |
| "step": 379 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "learning_rate": 4.552380952380952e-05, | |
| "loss": 0.3755, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "eval_loss": 0.3390796482563019, | |
| "eval_mean_accuracy": 0.8804303968054192, | |
| "eval_mean_iou": 0.580778410709782, | |
| "eval_overall_accuracy": 0.8721768383740929, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9197198982124878, | |
| 0.8711204139418149, | |
| 0.8504508782619553 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7411392606367753, | |
| 0.7529667901693975, | |
| 0.829007592032955 | |
| ], | |
| "eval_runtime": 311.8308, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.087, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 3.63, | |
| "learning_rate": 4.5485714285714285e-05, | |
| "loss": 0.1869, | |
| "step": 381 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "learning_rate": 4.5447619047619054e-05, | |
| "loss": 0.6275, | |
| "step": 382 | |
| }, | |
| { | |
| "epoch": 3.65, | |
| "learning_rate": 4.540952380952381e-05, | |
| "loss": 0.2873, | |
| "step": 383 | |
| }, | |
| { | |
| "epoch": 3.66, | |
| "learning_rate": 4.537142857142857e-05, | |
| "loss": 0.1638, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 3.67, | |
| "learning_rate": 4.5333333333333335e-05, | |
| "loss": 0.224, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 3.68, | |
| "learning_rate": 4.529523809523809e-05, | |
| "loss": 0.2551, | |
| "step": 386 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "learning_rate": 4.525714285714286e-05, | |
| "loss": 0.4712, | |
| "step": 387 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "learning_rate": 4.521904761904762e-05, | |
| "loss": 0.2099, | |
| "step": 388 | |
| }, | |
| { | |
| "epoch": 3.7, | |
| "learning_rate": 4.5180952380952386e-05, | |
| "loss": 0.4131, | |
| "step": 389 | |
| }, | |
| { | |
| "epoch": 3.71, | |
| "learning_rate": 4.514285714285714e-05, | |
| "loss": 0.1801, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 3.72, | |
| "learning_rate": 4.5104761904761904e-05, | |
| "loss": 0.2371, | |
| "step": 391 | |
| }, | |
| { | |
| "epoch": 3.73, | |
| "learning_rate": 4.5066666666666667e-05, | |
| "loss": 0.3371, | |
| "step": 392 | |
| }, | |
| { | |
| "epoch": 3.74, | |
| "learning_rate": 4.502857142857143e-05, | |
| "loss": 0.2948, | |
| "step": 393 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 4.499047619047619e-05, | |
| "loss": 0.5358, | |
| "step": 394 | |
| }, | |
| { | |
| "epoch": 3.76, | |
| "learning_rate": 4.4952380952380954e-05, | |
| "loss": 0.3115, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "learning_rate": 4.491428571428572e-05, | |
| "loss": 0.399, | |
| "step": 396 | |
| }, | |
| { | |
| "epoch": 3.78, | |
| "learning_rate": 4.487619047619047e-05, | |
| "loss": 0.1601, | |
| "step": 397 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 4.483809523809524e-05, | |
| "loss": 0.2865, | |
| "step": 398 | |
| }, | |
| { | |
| "epoch": 3.8, | |
| "learning_rate": 4.4800000000000005e-05, | |
| "loss": 0.3439, | |
| "step": 399 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "learning_rate": 4.476190476190476e-05, | |
| "loss": 0.2345, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 3.81, | |
| "eval_loss": 0.2698303759098053, | |
| "eval_mean_accuracy": 0.8939450569459958, | |
| "eval_mean_iou": 0.6062168207238153, | |
| "eval_overall_accuracy": 0.8947080893399499, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8969557866929342, | |
| 0.8498380371710242, | |
| 0.9350413469740287 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7691715306909537, | |
| 0.7860561923218463, | |
| 0.8696395598824612 | |
| ], | |
| "eval_runtime": 312.3587, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 3.82, | |
| "learning_rate": 4.472380952380952e-05, | |
| "loss": 0.259, | |
| "step": 401 | |
| }, | |
| { | |
| "epoch": 3.83, | |
| "learning_rate": 4.4685714285714286e-05, | |
| "loss": 0.2524, | |
| "step": 402 | |
| }, | |
| { | |
| "epoch": 3.84, | |
| "learning_rate": 4.464761904761905e-05, | |
| "loss": 0.3641, | |
| "step": 403 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 4.460952380952381e-05, | |
| "loss": 0.2667, | |
| "step": 404 | |
| }, | |
| { | |
| "epoch": 3.86, | |
| "learning_rate": 4.4571428571428574e-05, | |
| "loss": 0.2622, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 3.87, | |
| "learning_rate": 4.4533333333333336e-05, | |
| "loss": 0.2092, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 3.88, | |
| "learning_rate": 4.44952380952381e-05, | |
| "loss": 0.4643, | |
| "step": 407 | |
| }, | |
| { | |
| "epoch": 3.89, | |
| "learning_rate": 4.4457142857142855e-05, | |
| "loss": 0.2616, | |
| "step": 408 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "learning_rate": 4.441904761904762e-05, | |
| "loss": 0.2363, | |
| "step": 409 | |
| }, | |
| { | |
| "epoch": 3.9, | |
| "learning_rate": 4.4380952380952386e-05, | |
| "loss": 0.2141, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 3.91, | |
| "learning_rate": 4.434285714285714e-05, | |
| "loss": 0.1041, | |
| "step": 411 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "learning_rate": 4.4304761904761905e-05, | |
| "loss": 0.4965, | |
| "step": 412 | |
| }, | |
| { | |
| "epoch": 3.93, | |
| "learning_rate": 4.426666666666667e-05, | |
| "loss": 0.2483, | |
| "step": 413 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "learning_rate": 4.422857142857143e-05, | |
| "loss": 0.3264, | |
| "step": 414 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "learning_rate": 4.419047619047619e-05, | |
| "loss": 0.2529, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 3.96, | |
| "learning_rate": 4.4152380952380955e-05, | |
| "loss": 0.3248, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 3.97, | |
| "learning_rate": 4.411428571428572e-05, | |
| "loss": 0.531, | |
| "step": 417 | |
| }, | |
| { | |
| "epoch": 3.98, | |
| "learning_rate": 4.4076190476190474e-05, | |
| "loss": 0.2373, | |
| "step": 418 | |
| }, | |
| { | |
| "epoch": 3.99, | |
| "learning_rate": 4.4038095238095236e-05, | |
| "loss": 0.5487, | |
| "step": 419 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.4e-05, | |
| "loss": 0.4617, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 0.26871252059936523, | |
| "eval_mean_accuracy": 0.887587100057786, | |
| "eval_mean_iou": 0.616349556499098, | |
| "eval_overall_accuracy": 0.90157001058494, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8191881631425132, | |
| 0.9157875935619221, | |
| 0.9277855434689228 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7819363571162524, | |
| 0.8168624476429822, | |
| 0.8665994212371569 | |
| ], | |
| "eval_runtime": 311.4578, | |
| "eval_samples_per_second": 0.671, | |
| "eval_steps_per_second": 0.087, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "learning_rate": 4.396190476190477e-05, | |
| "loss": 0.4156, | |
| "step": 421 | |
| }, | |
| { | |
| "epoch": 4.02, | |
| "learning_rate": 4.3923809523809524e-05, | |
| "loss": 0.2908, | |
| "step": 422 | |
| }, | |
| { | |
| "epoch": 4.03, | |
| "learning_rate": 4.388571428571429e-05, | |
| "loss": 0.2441, | |
| "step": 423 | |
| }, | |
| { | |
| "epoch": 4.04, | |
| "learning_rate": 4.384761904761905e-05, | |
| "loss": 0.2424, | |
| "step": 424 | |
| }, | |
| { | |
| "epoch": 4.05, | |
| "learning_rate": 4.3809523809523805e-05, | |
| "loss": 0.4391, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 4.06, | |
| "learning_rate": 4.3771428571428574e-05, | |
| "loss": 0.3689, | |
| "step": 426 | |
| }, | |
| { | |
| "epoch": 4.07, | |
| "learning_rate": 4.373333333333334e-05, | |
| "loss": 0.3484, | |
| "step": 427 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "learning_rate": 4.36952380952381e-05, | |
| "loss": 0.2805, | |
| "step": 428 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "learning_rate": 4.3657142857142855e-05, | |
| "loss": 0.3227, | |
| "step": 429 | |
| }, | |
| { | |
| "epoch": 4.1, | |
| "learning_rate": 4.361904761904762e-05, | |
| "loss": 0.284, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 4.1, | |
| "learning_rate": 4.358095238095238e-05, | |
| "loss": 0.4349, | |
| "step": 431 | |
| }, | |
| { | |
| "epoch": 4.11, | |
| "learning_rate": 4.354285714285714e-05, | |
| "loss": 0.2574, | |
| "step": 432 | |
| }, | |
| { | |
| "epoch": 4.12, | |
| "learning_rate": 4.3504761904761906e-05, | |
| "loss": 0.2213, | |
| "step": 433 | |
| }, | |
| { | |
| "epoch": 4.13, | |
| "learning_rate": 4.346666666666667e-05, | |
| "loss": 0.2196, | |
| "step": 434 | |
| }, | |
| { | |
| "epoch": 4.14, | |
| "learning_rate": 4.342857142857143e-05, | |
| "loss": 0.5884, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 4.339047619047619e-05, | |
| "loss": 0.2698, | |
| "step": 436 | |
| }, | |
| { | |
| "epoch": 4.16, | |
| "learning_rate": 4.3352380952380956e-05, | |
| "loss": 0.1877, | |
| "step": 437 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "learning_rate": 4.331428571428572e-05, | |
| "loss": 0.2316, | |
| "step": 438 | |
| }, | |
| { | |
| "epoch": 4.18, | |
| "learning_rate": 4.327619047619048e-05, | |
| "loss": 0.262, | |
| "step": 439 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "learning_rate": 4.323809523809524e-05, | |
| "loss": 0.4196, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 4.19, | |
| "eval_loss": 0.3097580075263977, | |
| "eval_mean_accuracy": 0.888243782210209, | |
| "eval_mean_iou": 0.5915847486945411, | |
| "eval_overall_accuracy": 0.8852874428695137, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.91310875256703, | |
| 0.8118568060759369, | |
| 0.9397657879876604 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7306340086767855, | |
| 0.7615809433753483, | |
| 0.8741240427260311 | |
| ], | |
| "eval_runtime": 312.7002, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 4.2, | |
| "learning_rate": 4.32e-05, | |
| "loss": 0.3003, | |
| "step": 441 | |
| }, | |
| { | |
| "epoch": 4.21, | |
| "learning_rate": 4.316190476190476e-05, | |
| "loss": 0.1904, | |
| "step": 442 | |
| }, | |
| { | |
| "epoch": 4.22, | |
| "learning_rate": 4.3123809523809525e-05, | |
| "loss": 0.1365, | |
| "step": 443 | |
| }, | |
| { | |
| "epoch": 4.23, | |
| "learning_rate": 4.308571428571429e-05, | |
| "loss": 0.2291, | |
| "step": 444 | |
| }, | |
| { | |
| "epoch": 4.24, | |
| "learning_rate": 4.304761904761905e-05, | |
| "loss": 0.2575, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 4.25, | |
| "learning_rate": 4.300952380952381e-05, | |
| "loss": 0.1171, | |
| "step": 446 | |
| }, | |
| { | |
| "epoch": 4.26, | |
| "learning_rate": 4.297142857142857e-05, | |
| "loss": 0.675, | |
| "step": 447 | |
| }, | |
| { | |
| "epoch": 4.27, | |
| "learning_rate": 4.293333333333333e-05, | |
| "loss": 0.0978, | |
| "step": 448 | |
| }, | |
| { | |
| "epoch": 4.28, | |
| "learning_rate": 4.28952380952381e-05, | |
| "loss": 0.1288, | |
| "step": 449 | |
| }, | |
| { | |
| "epoch": 4.29, | |
| "learning_rate": 4.2857142857142856e-05, | |
| "loss": 0.4893, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 4.3, | |
| "learning_rate": 4.281904761904762e-05, | |
| "loss": 0.2124, | |
| "step": 451 | |
| }, | |
| { | |
| "epoch": 4.3, | |
| "learning_rate": 4.278095238095238e-05, | |
| "loss": 0.3275, | |
| "step": 452 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 4.2742857142857144e-05, | |
| "loss": 0.2375, | |
| "step": 453 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 4.270476190476191e-05, | |
| "loss": 0.4675, | |
| "step": 454 | |
| }, | |
| { | |
| "epoch": 4.33, | |
| "learning_rate": 4.266666666666667e-05, | |
| "loss": 0.296, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 4.34, | |
| "learning_rate": 4.262857142857143e-05, | |
| "loss": 0.5425, | |
| "step": 456 | |
| }, | |
| { | |
| "epoch": 4.35, | |
| "learning_rate": 4.259047619047619e-05, | |
| "loss": 0.2873, | |
| "step": 457 | |
| }, | |
| { | |
| "epoch": 4.36, | |
| "learning_rate": 4.255238095238095e-05, | |
| "loss": 0.3294, | |
| "step": 458 | |
| }, | |
| { | |
| "epoch": 4.37, | |
| "learning_rate": 4.251428571428571e-05, | |
| "loss": 0.2506, | |
| "step": 459 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "learning_rate": 4.247619047619048e-05, | |
| "loss": 0.3077, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "eval_loss": 0.2626166343688965, | |
| "eval_mean_accuracy": 0.8945615019128811, | |
| "eval_mean_iou": 0.6144850841814563, | |
| "eval_overall_accuracy": 0.898426223803429, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8811408892665445, | |
| 0.8652329242341813, | |
| 0.9373106922379177 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7882049091755642, | |
| 0.8036607630171985, | |
| 0.8660746645330626 | |
| ], | |
| "eval_runtime": 312.0987, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.087, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 4.39, | |
| "learning_rate": 4.243809523809524e-05, | |
| "loss": 0.276, | |
| "step": 461 | |
| }, | |
| { | |
| "epoch": 4.4, | |
| "learning_rate": 4.24e-05, | |
| "loss": 0.3722, | |
| "step": 462 | |
| }, | |
| { | |
| "epoch": 4.41, | |
| "learning_rate": 4.236190476190476e-05, | |
| "loss": 0.3073, | |
| "step": 463 | |
| }, | |
| { | |
| "epoch": 4.42, | |
| "learning_rate": 4.232380952380952e-05, | |
| "loss": 0.4088, | |
| "step": 464 | |
| }, | |
| { | |
| "epoch": 4.43, | |
| "learning_rate": 4.228571428571429e-05, | |
| "loss": 0.4944, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 4.44, | |
| "learning_rate": 4.224761904761905e-05, | |
| "loss": 0.26, | |
| "step": 466 | |
| }, | |
| { | |
| "epoch": 4.45, | |
| "learning_rate": 4.2209523809523814e-05, | |
| "loss": 0.189, | |
| "step": 467 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "learning_rate": 4.217142857142857e-05, | |
| "loss": 0.3764, | |
| "step": 468 | |
| }, | |
| { | |
| "epoch": 4.47, | |
| "learning_rate": 4.213333333333333e-05, | |
| "loss": 0.2777, | |
| "step": 469 | |
| }, | |
| { | |
| "epoch": 4.48, | |
| "learning_rate": 4.2095238095238095e-05, | |
| "loss": 0.1227, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 4.49, | |
| "learning_rate": 4.2057142857142864e-05, | |
| "loss": 0.4202, | |
| "step": 471 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 4.201904761904762e-05, | |
| "loss": 0.5171, | |
| "step": 472 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "learning_rate": 4.198095238095238e-05, | |
| "loss": 0.3855, | |
| "step": 473 | |
| }, | |
| { | |
| "epoch": 4.51, | |
| "learning_rate": 4.1942857142857145e-05, | |
| "loss": 1.0448, | |
| "step": 474 | |
| }, | |
| { | |
| "epoch": 4.52, | |
| "learning_rate": 4.19047619047619e-05, | |
| "loss": 0.3265, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 4.53, | |
| "learning_rate": 4.186666666666667e-05, | |
| "loss": 0.2189, | |
| "step": 476 | |
| }, | |
| { | |
| "epoch": 4.54, | |
| "learning_rate": 4.182857142857143e-05, | |
| "loss": 0.2874, | |
| "step": 477 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 4.1790476190476195e-05, | |
| "loss": 0.219, | |
| "step": 478 | |
| }, | |
| { | |
| "epoch": 4.56, | |
| "learning_rate": 4.175238095238095e-05, | |
| "loss": 0.1578, | |
| "step": 479 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "learning_rate": 4.1714285714285714e-05, | |
| "loss": 0.6993, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 4.57, | |
| "eval_loss": 0.27036547660827637, | |
| "eval_mean_accuracy": 0.8974961193164787, | |
| "eval_mean_iou": 0.6098955225600103, | |
| "eval_overall_accuracy": 0.89681995673328, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9034919526904823, | |
| 0.8779347715837454, | |
| 0.911061633675208 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7726501845687456, | |
| 0.7931829721418016, | |
| 0.8737489335294942 | |
| ], | |
| "eval_runtime": 312.1687, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.086, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 4.58, | |
| "learning_rate": 4.1676190476190476e-05, | |
| "loss": 0.3876, | |
| "step": 481 | |
| }, | |
| { | |
| "epoch": 4.59, | |
| "learning_rate": 4.163809523809524e-05, | |
| "loss": 0.3355, | |
| "step": 482 | |
| }, | |
| { | |
| "epoch": 4.6, | |
| "learning_rate": 4.16e-05, | |
| "loss": 0.18, | |
| "step": 483 | |
| }, | |
| { | |
| "epoch": 4.61, | |
| "learning_rate": 4.1561904761904764e-05, | |
| "loss": 0.1829, | |
| "step": 484 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "learning_rate": 4.152380952380953e-05, | |
| "loss": 0.212, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 4.63, | |
| "learning_rate": 4.148571428571428e-05, | |
| "loss": 0.2073, | |
| "step": 486 | |
| }, | |
| { | |
| "epoch": 4.64, | |
| "learning_rate": 4.144761904761905e-05, | |
| "loss": 0.1894, | |
| "step": 487 | |
| }, | |
| { | |
| "epoch": 4.65, | |
| "learning_rate": 4.1409523809523814e-05, | |
| "loss": 0.2023, | |
| "step": 488 | |
| }, | |
| { | |
| "epoch": 4.66, | |
| "learning_rate": 4.137142857142857e-05, | |
| "loss": 0.1731, | |
| "step": 489 | |
| }, | |
| { | |
| "epoch": 4.67, | |
| "learning_rate": 4.133333333333333e-05, | |
| "loss": 0.5226, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 4.68, | |
| "learning_rate": 4.1295238095238095e-05, | |
| "loss": 0.4179, | |
| "step": 491 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 4.125714285714286e-05, | |
| "loss": 0.2991, | |
| "step": 492 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "learning_rate": 4.121904761904762e-05, | |
| "loss": 0.367, | |
| "step": 493 | |
| }, | |
| { | |
| "epoch": 4.7, | |
| "learning_rate": 4.118095238095238e-05, | |
| "loss": 0.3675, | |
| "step": 494 | |
| }, | |
| { | |
| "epoch": 4.71, | |
| "learning_rate": 4.1142857142857146e-05, | |
| "loss": 0.2188, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 4.72, | |
| "learning_rate": 4.11047619047619e-05, | |
| "loss": 0.2837, | |
| "step": 496 | |
| }, | |
| { | |
| "epoch": 4.73, | |
| "learning_rate": 4.1066666666666664e-05, | |
| "loss": 0.1541, | |
| "step": 497 | |
| }, | |
| { | |
| "epoch": 4.74, | |
| "learning_rate": 4.102857142857143e-05, | |
| "loss": 0.285, | |
| "step": 498 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "learning_rate": 4.0990476190476196e-05, | |
| "loss": 0.3334, | |
| "step": 499 | |
| }, | |
| { | |
| "epoch": 4.76, | |
| "learning_rate": 4.095238095238095e-05, | |
| "loss": 0.0872, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.76, | |
| "eval_loss": 0.25281327962875366, | |
| "eval_mean_accuracy": 0.8966380220707092, | |
| "eval_mean_iou": 0.6224359177141752, | |
| "eval_overall_accuracy": 0.9064405430011973, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8475108010954949, | |
| 0.9243757045852642, | |
| 0.9180275605313687 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.794821017998973, | |
| 0.820277476407232, | |
| 0.8746451764504957 | |
| ], | |
| "eval_runtime": 310.7094, | |
| "eval_samples_per_second": 0.673, | |
| "eval_steps_per_second": 0.087, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 4.0914285714285715e-05, | |
| "loss": 0.4485, | |
| "step": 501 | |
| }, | |
| { | |
| "epoch": 4.78, | |
| "learning_rate": 4.087619047619048e-05, | |
| "loss": 0.1724, | |
| "step": 502 | |
| }, | |
| { | |
| "epoch": 4.79, | |
| "learning_rate": 4.083809523809524e-05, | |
| "loss": 0.2045, | |
| "step": 503 | |
| }, | |
| { | |
| "epoch": 4.8, | |
| "learning_rate": 4.08e-05, | |
| "loss": 0.1718, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 4.81, | |
| "learning_rate": 4.0761904761904765e-05, | |
| "loss": 0.3175, | |
| "step": 505 | |
| }, | |
| { | |
| "epoch": 4.82, | |
| "learning_rate": 4.072380952380953e-05, | |
| "loss": 0.1693, | |
| "step": 506 | |
| }, | |
| { | |
| "epoch": 4.83, | |
| "learning_rate": 4.0685714285714283e-05, | |
| "loss": 0.2062, | |
| "step": 507 | |
| }, | |
| { | |
| "epoch": 4.84, | |
| "learning_rate": 4.0647619047619046e-05, | |
| "loss": 0.1541, | |
| "step": 508 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "learning_rate": 4.060952380952381e-05, | |
| "loss": 0.2786, | |
| "step": 509 | |
| }, | |
| { | |
| "epoch": 4.86, | |
| "learning_rate": 4.057142857142858e-05, | |
| "loss": 0.3166, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 4.87, | |
| "learning_rate": 4.0533333333333334e-05, | |
| "loss": 0.1122, | |
| "step": 511 | |
| }, | |
| { | |
| "epoch": 4.88, | |
| "learning_rate": 4.0495238095238096e-05, | |
| "loss": 0.2818, | |
| "step": 512 | |
| }, | |
| { | |
| "epoch": 4.89, | |
| "learning_rate": 4.045714285714286e-05, | |
| "loss": 0.2981, | |
| "step": 513 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "learning_rate": 4.0419047619047615e-05, | |
| "loss": 0.2353, | |
| "step": 514 | |
| }, | |
| { | |
| "epoch": 4.9, | |
| "learning_rate": 4.0380952380952384e-05, | |
| "loss": 0.2512, | |
| "step": 515 | |
| }, | |
| { | |
| "epoch": 4.91, | |
| "learning_rate": 4.034285714285715e-05, | |
| "loss": 0.249, | |
| "step": 516 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "learning_rate": 4.030476190476191e-05, | |
| "loss": 0.2139, | |
| "step": 517 | |
| }, | |
| { | |
| "epoch": 4.93, | |
| "learning_rate": 4.0266666666666665e-05, | |
| "loss": 0.3789, | |
| "step": 518 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "learning_rate": 4.022857142857143e-05, | |
| "loss": 0.2121, | |
| "step": 519 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "learning_rate": 4.019047619047619e-05, | |
| "loss": 0.1693, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "eval_loss": 0.24826663732528687, | |
| "eval_mean_accuracy": 0.894153531156961, | |
| "eval_mean_iou": 0.6142505352701739, | |
| "eval_overall_accuracy": 0.9008395239437098, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8626990640348634, | |
| 0.8991708391091823, | |
| 0.920590690326837 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7710358985249485, | |
| 0.807731288139387, | |
| 0.8782349544163601 | |
| ], | |
| "eval_runtime": 314.2831, | |
| "eval_samples_per_second": 0.665, | |
| "eval_steps_per_second": 0.086, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 4.96, | |
| "learning_rate": 4.015238095238095e-05, | |
| "loss": 0.9138, | |
| "step": 521 | |
| }, | |
| { | |
| "epoch": 4.97, | |
| "learning_rate": 4.0114285714285715e-05, | |
| "loss": 0.1656, | |
| "step": 522 | |
| }, | |
| { | |
| "epoch": 4.98, | |
| "learning_rate": 4.007619047619048e-05, | |
| "loss": 0.2058, | |
| "step": 523 | |
| }, | |
| { | |
| "epoch": 4.99, | |
| "learning_rate": 4.003809523809524e-05, | |
| "loss": 0.202, | |
| "step": 524 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 3.9999999999999996e-05, | |
| "loss": 0.4678, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "learning_rate": 3.9961904761904766e-05, | |
| "loss": 0.1658, | |
| "step": 526 | |
| }, | |
| { | |
| "epoch": 5.02, | |
| "learning_rate": 3.992380952380953e-05, | |
| "loss": 0.5334, | |
| "step": 527 | |
| }, | |
| { | |
| "epoch": 5.03, | |
| "learning_rate": 3.9885714285714284e-05, | |
| "loss": 0.221, | |
| "step": 528 | |
| }, | |
| { | |
| "epoch": 5.04, | |
| "learning_rate": 3.984761904761905e-05, | |
| "loss": 0.3525, | |
| "step": 529 | |
| }, | |
| { | |
| "epoch": 5.05, | |
| "learning_rate": 3.980952380952381e-05, | |
| "loss": 0.7298, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 5.06, | |
| "learning_rate": 3.977142857142857e-05, | |
| "loss": 0.2566, | |
| "step": 531 | |
| }, | |
| { | |
| "epoch": 5.07, | |
| "learning_rate": 3.9733333333333335e-05, | |
| "loss": 0.1952, | |
| "step": 532 | |
| }, | |
| { | |
| "epoch": 5.08, | |
| "learning_rate": 3.96952380952381e-05, | |
| "loss": 0.2282, | |
| "step": 533 | |
| }, | |
| { | |
| "epoch": 5.09, | |
| "learning_rate": 3.965714285714286e-05, | |
| "loss": 0.2539, | |
| "step": 534 | |
| }, | |
| { | |
| "epoch": 5.1, | |
| "learning_rate": 3.961904761904762e-05, | |
| "loss": 0.2123, | |
| "step": 535 | |
| }, | |
| { | |
| "epoch": 5.1, | |
| "learning_rate": 3.958095238095238e-05, | |
| "loss": 0.272, | |
| "step": 536 | |
| }, | |
| { | |
| "epoch": 5.11, | |
| "learning_rate": 3.954285714285714e-05, | |
| "loss": 0.2394, | |
| "step": 537 | |
| }, | |
| { | |
| "epoch": 5.12, | |
| "learning_rate": 3.950476190476191e-05, | |
| "loss": 0.2341, | |
| "step": 538 | |
| }, | |
| { | |
| "epoch": 5.13, | |
| "learning_rate": 3.9466666666666666e-05, | |
| "loss": 0.237, | |
| "step": 539 | |
| }, | |
| { | |
| "epoch": 5.14, | |
| "learning_rate": 3.942857142857143e-05, | |
| "loss": 0.4289, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 5.14, | |
| "eval_loss": 0.26581254601478577, | |
| "eval_mean_accuracy": 0.8956078597447923, | |
| "eval_mean_iou": 0.6036129103506088, | |
| "eval_overall_accuracy": 0.8935445573611497, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9111793466975755, | |
| 0.8543608384978729, | |
| 0.9212833940389284 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7524047661377534, | |
| 0.7867123180061338, | |
| 0.875334557258548 | |
| ], | |
| "eval_runtime": 311.2717, | |
| "eval_samples_per_second": 0.671, | |
| "eval_steps_per_second": 0.087, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 5.15, | |
| "learning_rate": 3.939047619047619e-05, | |
| "loss": 0.1256, | |
| "step": 541 | |
| }, | |
| { | |
| "epoch": 5.16, | |
| "learning_rate": 3.9352380952380954e-05, | |
| "loss": 0.1497, | |
| "step": 542 | |
| }, | |
| { | |
| "epoch": 5.17, | |
| "learning_rate": 3.9314285714285716e-05, | |
| "loss": 0.342, | |
| "step": 543 | |
| }, | |
| { | |
| "epoch": 5.18, | |
| "learning_rate": 3.927619047619048e-05, | |
| "loss": 0.278, | |
| "step": 544 | |
| }, | |
| { | |
| "epoch": 5.19, | |
| "learning_rate": 3.923809523809524e-05, | |
| "loss": 0.2964, | |
| "step": 545 | |
| }, | |
| { | |
| "epoch": 5.2, | |
| "learning_rate": 3.92e-05, | |
| "loss": 0.3005, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 5.21, | |
| "learning_rate": 3.916190476190476e-05, | |
| "loss": 0.1001, | |
| "step": 547 | |
| }, | |
| { | |
| "epoch": 5.22, | |
| "learning_rate": 3.912380952380952e-05, | |
| "loss": 0.2702, | |
| "step": 548 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "learning_rate": 3.908571428571429e-05, | |
| "loss": 0.0881, | |
| "step": 549 | |
| }, | |
| { | |
| "epoch": 5.24, | |
| "learning_rate": 3.904761904761905e-05, | |
| "loss": 0.1658, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "learning_rate": 3.900952380952381e-05, | |
| "loss": 0.1485, | |
| "step": 551 | |
| }, | |
| { | |
| "epoch": 5.26, | |
| "learning_rate": 3.897142857142857e-05, | |
| "loss": 0.0842, | |
| "step": 552 | |
| }, | |
| { | |
| "epoch": 5.27, | |
| "learning_rate": 3.893333333333333e-05, | |
| "loss": 0.3022, | |
| "step": 553 | |
| }, | |
| { | |
| "epoch": 5.28, | |
| "learning_rate": 3.88952380952381e-05, | |
| "loss": 0.2877, | |
| "step": 554 | |
| }, | |
| { | |
| "epoch": 5.29, | |
| "learning_rate": 3.885714285714286e-05, | |
| "loss": 0.2378, | |
| "step": 555 | |
| }, | |
| { | |
| "epoch": 5.3, | |
| "learning_rate": 3.881904761904762e-05, | |
| "loss": 0.1247, | |
| "step": 556 | |
| }, | |
| { | |
| "epoch": 5.3, | |
| "learning_rate": 3.878095238095238e-05, | |
| "loss": 0.1638, | |
| "step": 557 | |
| }, | |
| { | |
| "epoch": 5.31, | |
| "learning_rate": 3.874285714285714e-05, | |
| "loss": 0.5334, | |
| "step": 558 | |
| }, | |
| { | |
| "epoch": 5.32, | |
| "learning_rate": 3.8704761904761904e-05, | |
| "loss": 0.4184, | |
| "step": 559 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "learning_rate": 3.866666666666667e-05, | |
| "loss": 0.1629, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 5.33, | |
| "eval_loss": 0.26478973031044006, | |
| "eval_mean_accuracy": 0.8972639951317163, | |
| "eval_mean_iou": 0.6127426034812797, | |
| "eval_overall_accuracy": 0.8989537245457193, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8916441122693501, | |
| 0.8827631592877528, | |
| 0.9173847138380457 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7778727870610485, | |
| 0.7997015971168785, | |
| 0.8733960297471921 | |
| ], | |
| "eval_runtime": 311.8729, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.087, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 5.34, | |
| "learning_rate": 3.862857142857143e-05, | |
| "loss": 0.2189, | |
| "step": 561 | |
| }, | |
| { | |
| "epoch": 5.35, | |
| "learning_rate": 3.859047619047619e-05, | |
| "loss": 0.2018, | |
| "step": 562 | |
| }, | |
| { | |
| "epoch": 5.36, | |
| "learning_rate": 3.8552380952380955e-05, | |
| "loss": 0.4417, | |
| "step": 563 | |
| }, | |
| { | |
| "epoch": 5.37, | |
| "learning_rate": 3.851428571428571e-05, | |
| "loss": 0.5367, | |
| "step": 564 | |
| }, | |
| { | |
| "epoch": 5.38, | |
| "learning_rate": 3.847619047619048e-05, | |
| "loss": 0.1522, | |
| "step": 565 | |
| }, | |
| { | |
| "epoch": 5.39, | |
| "learning_rate": 3.843809523809524e-05, | |
| "loss": 0.188, | |
| "step": 566 | |
| }, | |
| { | |
| "epoch": 5.4, | |
| "learning_rate": 3.8400000000000005e-05, | |
| "loss": 0.3143, | |
| "step": 567 | |
| }, | |
| { | |
| "epoch": 5.41, | |
| "learning_rate": 3.836190476190476e-05, | |
| "loss": 0.1893, | |
| "step": 568 | |
| }, | |
| { | |
| "epoch": 5.42, | |
| "learning_rate": 3.8323809523809523e-05, | |
| "loss": 0.1754, | |
| "step": 569 | |
| }, | |
| { | |
| "epoch": 5.43, | |
| "learning_rate": 3.8285714285714286e-05, | |
| "loss": 0.0952, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 5.44, | |
| "learning_rate": 3.824761904761905e-05, | |
| "loss": 0.3635, | |
| "step": 571 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "learning_rate": 3.820952380952381e-05, | |
| "loss": 0.3502, | |
| "step": 572 | |
| }, | |
| { | |
| "epoch": 5.46, | |
| "learning_rate": 3.8171428571428574e-05, | |
| "loss": 0.304, | |
| "step": 573 | |
| }, | |
| { | |
| "epoch": 5.47, | |
| "learning_rate": 3.8133333333333336e-05, | |
| "loss": 0.2316, | |
| "step": 574 | |
| }, | |
| { | |
| "epoch": 5.48, | |
| "learning_rate": 3.809523809523809e-05, | |
| "loss": 0.3746, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 5.49, | |
| "learning_rate": 3.8057142857142855e-05, | |
| "loss": 0.2334, | |
| "step": 576 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 3.8019047619047624e-05, | |
| "loss": 0.155, | |
| "step": 577 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "learning_rate": 3.798095238095238e-05, | |
| "loss": 0.1363, | |
| "step": 578 | |
| }, | |
| { | |
| "epoch": 5.51, | |
| "learning_rate": 3.794285714285714e-05, | |
| "loss": 0.2459, | |
| "step": 579 | |
| }, | |
| { | |
| "epoch": 5.52, | |
| "learning_rate": 3.7904761904761905e-05, | |
| "loss": 0.6648, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 5.52, | |
| "eval_loss": 0.25096595287323, | |
| "eval_mean_accuracy": 0.8921220152542348, | |
| "eval_mean_iou": 0.6167161563509822, | |
| "eval_overall_accuracy": 0.9014668895467592, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.842941530791356, | |
| 0.9344509707695087, | |
| 0.8989735442018398 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7903527508022521, | |
| 0.8089567654929529, | |
| 0.8675551091087238 | |
| ], | |
| "eval_runtime": 312.3938, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 5.53, | |
| "learning_rate": 3.786666666666667e-05, | |
| "loss": 0.2308, | |
| "step": 581 | |
| }, | |
| { | |
| "epoch": 5.54, | |
| "learning_rate": 3.782857142857143e-05, | |
| "loss": 0.1375, | |
| "step": 582 | |
| }, | |
| { | |
| "epoch": 5.55, | |
| "learning_rate": 3.779047619047619e-05, | |
| "loss": 0.1148, | |
| "step": 583 | |
| }, | |
| { | |
| "epoch": 5.56, | |
| "learning_rate": 3.7752380952380956e-05, | |
| "loss": 0.1891, | |
| "step": 584 | |
| }, | |
| { | |
| "epoch": 5.57, | |
| "learning_rate": 3.771428571428571e-05, | |
| "loss": 0.5586, | |
| "step": 585 | |
| }, | |
| { | |
| "epoch": 5.58, | |
| "learning_rate": 3.7676190476190474e-05, | |
| "loss": 0.3452, | |
| "step": 586 | |
| }, | |
| { | |
| "epoch": 5.59, | |
| "learning_rate": 3.7638095238095237e-05, | |
| "loss": 0.579, | |
| "step": 587 | |
| }, | |
| { | |
| "epoch": 5.6, | |
| "learning_rate": 3.7600000000000006e-05, | |
| "loss": 0.1289, | |
| "step": 588 | |
| }, | |
| { | |
| "epoch": 5.61, | |
| "learning_rate": 3.756190476190476e-05, | |
| "loss": 0.1475, | |
| "step": 589 | |
| }, | |
| { | |
| "epoch": 5.62, | |
| "learning_rate": 3.7523809523809524e-05, | |
| "loss": 0.1639, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 5.63, | |
| "learning_rate": 3.748571428571429e-05, | |
| "loss": 0.2549, | |
| "step": 591 | |
| }, | |
| { | |
| "epoch": 5.64, | |
| "learning_rate": 3.744761904761904e-05, | |
| "loss": 0.1136, | |
| "step": 592 | |
| }, | |
| { | |
| "epoch": 5.65, | |
| "learning_rate": 3.740952380952381e-05, | |
| "loss": 0.2685, | |
| "step": 593 | |
| }, | |
| { | |
| "epoch": 5.66, | |
| "learning_rate": 3.7371428571428575e-05, | |
| "loss": 0.3186, | |
| "step": 594 | |
| }, | |
| { | |
| "epoch": 5.67, | |
| "learning_rate": 3.733333333333334e-05, | |
| "loss": 0.3919, | |
| "step": 595 | |
| }, | |
| { | |
| "epoch": 5.68, | |
| "learning_rate": 3.729523809523809e-05, | |
| "loss": 0.3288, | |
| "step": 596 | |
| }, | |
| { | |
| "epoch": 5.69, | |
| "learning_rate": 3.7257142857142856e-05, | |
| "loss": 0.2417, | |
| "step": 597 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "learning_rate": 3.721904761904762e-05, | |
| "loss": 0.1828, | |
| "step": 598 | |
| }, | |
| { | |
| "epoch": 5.7, | |
| "learning_rate": 3.718095238095239e-05, | |
| "loss": 0.3385, | |
| "step": 599 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "learning_rate": 3.7142857142857143e-05, | |
| "loss": 0.2687, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 5.71, | |
| "eval_loss": 0.2699272632598877, | |
| "eval_mean_accuracy": 0.8950392557416432, | |
| "eval_mean_iou": 0.6052462454096705, | |
| "eval_overall_accuracy": 0.8945168939544156, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9046339402504611, | |
| 0.8463341075446845, | |
| 0.9341497194297844 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7589890636395503, | |
| 0.7839159330526462, | |
| 0.8780799849464859 | |
| ], | |
| "eval_runtime": 312.512, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 5.72, | |
| "learning_rate": 3.7104761904761906e-05, | |
| "loss": 0.6761, | |
| "step": 601 | |
| }, | |
| { | |
| "epoch": 5.73, | |
| "learning_rate": 3.706666666666667e-05, | |
| "loss": 0.3204, | |
| "step": 602 | |
| }, | |
| { | |
| "epoch": 5.74, | |
| "learning_rate": 3.7028571428571424e-05, | |
| "loss": 0.1108, | |
| "step": 603 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "learning_rate": 3.6990476190476194e-05, | |
| "loss": 0.2216, | |
| "step": 604 | |
| }, | |
| { | |
| "epoch": 5.76, | |
| "learning_rate": 3.6952380952380956e-05, | |
| "loss": 0.3714, | |
| "step": 605 | |
| }, | |
| { | |
| "epoch": 5.77, | |
| "learning_rate": 3.691428571428572e-05, | |
| "loss": 0.423, | |
| "step": 606 | |
| }, | |
| { | |
| "epoch": 5.78, | |
| "learning_rate": 3.6876190476190475e-05, | |
| "loss": 0.172, | |
| "step": 607 | |
| }, | |
| { | |
| "epoch": 5.79, | |
| "learning_rate": 3.683809523809524e-05, | |
| "loss": 0.2308, | |
| "step": 608 | |
| }, | |
| { | |
| "epoch": 5.8, | |
| "learning_rate": 3.68e-05, | |
| "loss": 0.1699, | |
| "step": 609 | |
| }, | |
| { | |
| "epoch": 5.81, | |
| "learning_rate": 3.676190476190476e-05, | |
| "loss": 0.234, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 5.82, | |
| "learning_rate": 3.6723809523809525e-05, | |
| "loss": 0.1664, | |
| "step": 611 | |
| }, | |
| { | |
| "epoch": 5.83, | |
| "learning_rate": 3.668571428571429e-05, | |
| "loss": 0.4817, | |
| "step": 612 | |
| }, | |
| { | |
| "epoch": 5.84, | |
| "learning_rate": 3.664761904761905e-05, | |
| "loss": 0.5735, | |
| "step": 613 | |
| }, | |
| { | |
| "epoch": 5.85, | |
| "learning_rate": 3.6609523809523806e-05, | |
| "loss": 0.47, | |
| "step": 614 | |
| }, | |
| { | |
| "epoch": 5.86, | |
| "learning_rate": 3.6571428571428576e-05, | |
| "loss": 0.4514, | |
| "step": 615 | |
| }, | |
| { | |
| "epoch": 5.87, | |
| "learning_rate": 3.653333333333334e-05, | |
| "loss": 0.1341, | |
| "step": 616 | |
| }, | |
| { | |
| "epoch": 5.88, | |
| "learning_rate": 3.6495238095238094e-05, | |
| "loss": 0.1844, | |
| "step": 617 | |
| }, | |
| { | |
| "epoch": 5.89, | |
| "learning_rate": 3.6457142857142857e-05, | |
| "loss": 0.2158, | |
| "step": 618 | |
| }, | |
| { | |
| "epoch": 5.9, | |
| "learning_rate": 3.641904761904762e-05, | |
| "loss": 0.1276, | |
| "step": 619 | |
| }, | |
| { | |
| "epoch": 5.9, | |
| "learning_rate": 3.638095238095238e-05, | |
| "loss": 0.2457, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 5.9, | |
| "eval_loss": 0.2508944272994995, | |
| "eval_mean_accuracy": 0.8997131089974841, | |
| "eval_mean_iou": 0.6175632467559566, | |
| "eval_overall_accuracy": 0.9043987884604118, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8823368674532753, | |
| 0.8716328892631878, | |
| 0.9451695702759891 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7875025227833997, | |
| 0.8053627064254228, | |
| 0.877387757815004 | |
| ], | |
| "eval_runtime": 310.7055, | |
| "eval_samples_per_second": 0.673, | |
| "eval_steps_per_second": 0.087, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "learning_rate": 3.6342857142857144e-05, | |
| "loss": 0.4133, | |
| "step": 621 | |
| }, | |
| { | |
| "epoch": 5.92, | |
| "learning_rate": 3.630476190476191e-05, | |
| "loss": 0.2306, | |
| "step": 622 | |
| }, | |
| { | |
| "epoch": 5.93, | |
| "learning_rate": 3.626666666666667e-05, | |
| "loss": 0.2857, | |
| "step": 623 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "learning_rate": 3.6228571428571425e-05, | |
| "loss": 0.374, | |
| "step": 624 | |
| }, | |
| { | |
| "epoch": 5.95, | |
| "learning_rate": 3.619047619047619e-05, | |
| "loss": 0.2612, | |
| "step": 625 | |
| }, | |
| { | |
| "epoch": 5.96, | |
| "learning_rate": 3.615238095238095e-05, | |
| "loss": 0.2388, | |
| "step": 626 | |
| }, | |
| { | |
| "epoch": 5.97, | |
| "learning_rate": 3.611428571428572e-05, | |
| "loss": 0.5235, | |
| "step": 627 | |
| }, | |
| { | |
| "epoch": 5.98, | |
| "learning_rate": 3.6076190476190476e-05, | |
| "loss": 0.308, | |
| "step": 628 | |
| }, | |
| { | |
| "epoch": 5.99, | |
| "learning_rate": 3.603809523809524e-05, | |
| "loss": 0.1837, | |
| "step": 629 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "learning_rate": 3.6e-05, | |
| "loss": 0.5551, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 6.01, | |
| "learning_rate": 3.5961904761904764e-05, | |
| "loss": 0.1549, | |
| "step": 631 | |
| }, | |
| { | |
| "epoch": 6.02, | |
| "learning_rate": 3.5923809523809526e-05, | |
| "loss": 0.4609, | |
| "step": 632 | |
| }, | |
| { | |
| "epoch": 6.03, | |
| "learning_rate": 3.588571428571429e-05, | |
| "loss": 0.5632, | |
| "step": 633 | |
| }, | |
| { | |
| "epoch": 6.04, | |
| "learning_rate": 3.584761904761905e-05, | |
| "loss": 0.4078, | |
| "step": 634 | |
| }, | |
| { | |
| "epoch": 6.05, | |
| "learning_rate": 3.580952380952381e-05, | |
| "loss": 0.1782, | |
| "step": 635 | |
| }, | |
| { | |
| "epoch": 6.06, | |
| "learning_rate": 3.577142857142857e-05, | |
| "loss": 0.2557, | |
| "step": 636 | |
| }, | |
| { | |
| "epoch": 6.07, | |
| "learning_rate": 3.573333333333333e-05, | |
| "loss": 0.1742, | |
| "step": 637 | |
| }, | |
| { | |
| "epoch": 6.08, | |
| "learning_rate": 3.56952380952381e-05, | |
| "loss": 0.1954, | |
| "step": 638 | |
| }, | |
| { | |
| "epoch": 6.09, | |
| "learning_rate": 3.565714285714286e-05, | |
| "loss": 0.2677, | |
| "step": 639 | |
| }, | |
| { | |
| "epoch": 6.1, | |
| "learning_rate": 3.561904761904762e-05, | |
| "loss": 0.7972, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 6.1, | |
| "eval_loss": 0.23901709914207458, | |
| "eval_mean_accuracy": 0.8975804327733515, | |
| "eval_mean_iou": 0.6190676599323983, | |
| "eval_overall_accuracy": 0.9039670560976084, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8717019020409381, | |
| 0.8741622073527197, | |
| 0.9468771889263968 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7960945623456496, | |
| 0.8068691442043917, | |
| 0.8733069331795521 | |
| ], | |
| "eval_runtime": 311.66, | |
| "eval_samples_per_second": 0.671, | |
| "eval_steps_per_second": 0.087, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 6.1, | |
| "learning_rate": 3.558095238095238e-05, | |
| "loss": 0.1357, | |
| "step": 641 | |
| }, | |
| { | |
| "epoch": 6.11, | |
| "learning_rate": 3.554285714285714e-05, | |
| "loss": 0.5178, | |
| "step": 642 | |
| }, | |
| { | |
| "epoch": 6.12, | |
| "learning_rate": 3.550476190476191e-05, | |
| "loss": 0.5253, | |
| "step": 643 | |
| }, | |
| { | |
| "epoch": 6.13, | |
| "learning_rate": 3.546666666666667e-05, | |
| "loss": 0.2585, | |
| "step": 644 | |
| }, | |
| { | |
| "epoch": 6.14, | |
| "learning_rate": 3.542857142857143e-05, | |
| "loss": 0.3939, | |
| "step": 645 | |
| }, | |
| { | |
| "epoch": 6.15, | |
| "learning_rate": 3.539047619047619e-05, | |
| "loss": 0.1596, | |
| "step": 646 | |
| }, | |
| { | |
| "epoch": 6.16, | |
| "learning_rate": 3.535238095238095e-05, | |
| "loss": 0.2267, | |
| "step": 647 | |
| }, | |
| { | |
| "epoch": 6.17, | |
| "learning_rate": 3.5314285714285714e-05, | |
| "loss": 0.3139, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 6.18, | |
| "learning_rate": 3.5276190476190477e-05, | |
| "loss": 0.5413, | |
| "step": 649 | |
| }, | |
| { | |
| "epoch": 6.19, | |
| "learning_rate": 3.523809523809524e-05, | |
| "loss": 0.1195, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 6.2, | |
| "learning_rate": 3.52e-05, | |
| "loss": 0.2702, | |
| "step": 651 | |
| }, | |
| { | |
| "epoch": 6.21, | |
| "learning_rate": 3.5161904761904764e-05, | |
| "loss": 0.3209, | |
| "step": 652 | |
| }, | |
| { | |
| "epoch": 6.22, | |
| "learning_rate": 3.512380952380952e-05, | |
| "loss": 0.1873, | |
| "step": 653 | |
| }, | |
| { | |
| "epoch": 6.23, | |
| "learning_rate": 3.508571428571429e-05, | |
| "loss": 0.2655, | |
| "step": 654 | |
| }, | |
| { | |
| "epoch": 6.24, | |
| "learning_rate": 3.504761904761905e-05, | |
| "loss": 0.1045, | |
| "step": 655 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "learning_rate": 3.500952380952381e-05, | |
| "loss": 0.3711, | |
| "step": 656 | |
| }, | |
| { | |
| "epoch": 6.26, | |
| "learning_rate": 3.497142857142857e-05, | |
| "loss": 0.2247, | |
| "step": 657 | |
| }, | |
| { | |
| "epoch": 6.27, | |
| "learning_rate": 3.493333333333333e-05, | |
| "loss": 0.2483, | |
| "step": 658 | |
| }, | |
| { | |
| "epoch": 6.28, | |
| "learning_rate": 3.4895238095238096e-05, | |
| "loss": 0.2288, | |
| "step": 659 | |
| }, | |
| { | |
| "epoch": 6.29, | |
| "learning_rate": 3.485714285714286e-05, | |
| "loss": 0.1188, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 6.29, | |
| "eval_loss": 0.2847732603549957, | |
| "eval_mean_accuracy": 0.8861471845616959, | |
| "eval_mean_iou": 0.5982535828636354, | |
| "eval_overall_accuracy": 0.8879977116425385, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8875208916664213, | |
| 0.8193053544894183, | |
| 0.9516153075292482 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.761388813014052, | |
| 0.7689077186996525, | |
| 0.8627177997408372 | |
| ], | |
| "eval_runtime": 312.4826, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 6.3, | |
| "learning_rate": 3.481904761904762e-05, | |
| "loss": 0.2334, | |
| "step": 661 | |
| }, | |
| { | |
| "epoch": 6.3, | |
| "learning_rate": 3.4780952380952384e-05, | |
| "loss": 0.3104, | |
| "step": 662 | |
| }, | |
| { | |
| "epoch": 6.31, | |
| "learning_rate": 3.4742857142857146e-05, | |
| "loss": 0.3152, | |
| "step": 663 | |
| }, | |
| { | |
| "epoch": 6.32, | |
| "learning_rate": 3.47047619047619e-05, | |
| "loss": 0.3434, | |
| "step": 664 | |
| }, | |
| { | |
| "epoch": 6.33, | |
| "learning_rate": 3.4666666666666665e-05, | |
| "loss": 0.205, | |
| "step": 665 | |
| }, | |
| { | |
| "epoch": 6.34, | |
| "learning_rate": 3.4628571428571434e-05, | |
| "loss": 0.2095, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 6.35, | |
| "learning_rate": 3.459047619047619e-05, | |
| "loss": 0.2468, | |
| "step": 667 | |
| }, | |
| { | |
| "epoch": 6.36, | |
| "learning_rate": 3.455238095238095e-05, | |
| "loss": 0.3048, | |
| "step": 668 | |
| }, | |
| { | |
| "epoch": 6.37, | |
| "learning_rate": 3.4514285714285715e-05, | |
| "loss": 0.2124, | |
| "step": 669 | |
| }, | |
| { | |
| "epoch": 6.38, | |
| "learning_rate": 3.447619047619048e-05, | |
| "loss": 0.3149, | |
| "step": 670 | |
| }, | |
| { | |
| "epoch": 6.39, | |
| "learning_rate": 3.443809523809524e-05, | |
| "loss": 0.2131, | |
| "step": 671 | |
| }, | |
| { | |
| "epoch": 6.4, | |
| "learning_rate": 3.44e-05, | |
| "loss": 0.206, | |
| "step": 672 | |
| }, | |
| { | |
| "epoch": 6.41, | |
| "learning_rate": 3.4361904761904765e-05, | |
| "loss": 0.2324, | |
| "step": 673 | |
| }, | |
| { | |
| "epoch": 6.42, | |
| "learning_rate": 3.432380952380952e-05, | |
| "loss": 0.2749, | |
| "step": 674 | |
| }, | |
| { | |
| "epoch": 6.43, | |
| "learning_rate": 3.4285714285714284e-05, | |
| "loss": 0.5973, | |
| "step": 675 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "learning_rate": 3.4247619047619046e-05, | |
| "loss": 0.1515, | |
| "step": 676 | |
| }, | |
| { | |
| "epoch": 6.45, | |
| "learning_rate": 3.4209523809523816e-05, | |
| "loss": 0.4739, | |
| "step": 677 | |
| }, | |
| { | |
| "epoch": 6.46, | |
| "learning_rate": 3.417142857142857e-05, | |
| "loss": 0.2875, | |
| "step": 678 | |
| }, | |
| { | |
| "epoch": 6.47, | |
| "learning_rate": 3.4133333333333334e-05, | |
| "loss": 0.1237, | |
| "step": 679 | |
| }, | |
| { | |
| "epoch": 6.48, | |
| "learning_rate": 3.40952380952381e-05, | |
| "loss": 0.3194, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 6.48, | |
| "eval_loss": 0.2585322856903076, | |
| "eval_mean_accuracy": 0.9014544761746439, | |
| "eval_mean_iou": 0.6138075626998056, | |
| "eval_overall_accuracy": 0.9013683639202622, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9055138950620225, | |
| 0.8766532076153437, | |
| 0.9221963258465655 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7714656173253335, | |
| 0.801467614761647, | |
| 0.8822970187122419 | |
| ], | |
| "eval_runtime": 313.4992, | |
| "eval_samples_per_second": 0.667, | |
| "eval_steps_per_second": 0.086, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 6.49, | |
| "learning_rate": 3.405714285714285e-05, | |
| "loss": 0.1097, | |
| "step": 681 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 3.401904761904762e-05, | |
| "loss": 0.1846, | |
| "step": 682 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "learning_rate": 3.3980952380952384e-05, | |
| "loss": 0.1617, | |
| "step": 683 | |
| }, | |
| { | |
| "epoch": 6.51, | |
| "learning_rate": 3.394285714285715e-05, | |
| "loss": 0.1954, | |
| "step": 684 | |
| }, | |
| { | |
| "epoch": 6.52, | |
| "learning_rate": 3.39047619047619e-05, | |
| "loss": 0.271, | |
| "step": 685 | |
| }, | |
| { | |
| "epoch": 6.53, | |
| "learning_rate": 3.3866666666666665e-05, | |
| "loss": 0.5801, | |
| "step": 686 | |
| }, | |
| { | |
| "epoch": 6.54, | |
| "learning_rate": 3.382857142857143e-05, | |
| "loss": 0.208, | |
| "step": 687 | |
| }, | |
| { | |
| "epoch": 6.55, | |
| "learning_rate": 3.379047619047619e-05, | |
| "loss": 0.2946, | |
| "step": 688 | |
| }, | |
| { | |
| "epoch": 6.56, | |
| "learning_rate": 3.375238095238095e-05, | |
| "loss": 0.1327, | |
| "step": 689 | |
| }, | |
| { | |
| "epoch": 6.57, | |
| "learning_rate": 3.3714285714285716e-05, | |
| "loss": 0.4613, | |
| "step": 690 | |
| }, | |
| { | |
| "epoch": 6.58, | |
| "learning_rate": 3.367619047619048e-05, | |
| "loss": 0.1823, | |
| "step": 691 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "learning_rate": 3.3638095238095234e-05, | |
| "loss": 0.188, | |
| "step": 692 | |
| }, | |
| { | |
| "epoch": 6.6, | |
| "learning_rate": 3.3600000000000004e-05, | |
| "loss": 0.3123, | |
| "step": 693 | |
| }, | |
| { | |
| "epoch": 6.61, | |
| "learning_rate": 3.3561904761904766e-05, | |
| "loss": 0.185, | |
| "step": 694 | |
| }, | |
| { | |
| "epoch": 6.62, | |
| "learning_rate": 3.352380952380953e-05, | |
| "loss": 0.153, | |
| "step": 695 | |
| }, | |
| { | |
| "epoch": 6.63, | |
| "learning_rate": 3.3485714285714285e-05, | |
| "loss": 0.1794, | |
| "step": 696 | |
| }, | |
| { | |
| "epoch": 6.64, | |
| "learning_rate": 3.344761904761905e-05, | |
| "loss": 0.1004, | |
| "step": 697 | |
| }, | |
| { | |
| "epoch": 6.65, | |
| "learning_rate": 3.340952380952381e-05, | |
| "loss": 0.3437, | |
| "step": 698 | |
| }, | |
| { | |
| "epoch": 6.66, | |
| "learning_rate": 3.337142857142857e-05, | |
| "loss": 0.2464, | |
| "step": 699 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.297, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "eval_loss": 0.23971369862556458, | |
| "eval_mean_accuracy": 0.8985490009926416, | |
| "eval_mean_iou": 0.6243883275423593, | |
| "eval_overall_accuracy": 0.9077236607217533, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8582385670227628, | |
| 0.8861278196644219, | |
| 0.9512806162907399 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.815624253561328, | |
| 0.8186577344341879, | |
| 0.8632713221739214 | |
| ], | |
| "eval_runtime": 311.3202, | |
| "eval_samples_per_second": 0.671, | |
| "eval_steps_per_second": 0.087, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 6.68, | |
| "learning_rate": 3.32952380952381e-05, | |
| "loss": 0.1338, | |
| "step": 701 | |
| }, | |
| { | |
| "epoch": 6.69, | |
| "learning_rate": 3.325714285714286e-05, | |
| "loss": 0.1892, | |
| "step": 702 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "learning_rate": 3.3219047619047616e-05, | |
| "loss": 0.1298, | |
| "step": 703 | |
| }, | |
| { | |
| "epoch": 6.7, | |
| "learning_rate": 3.318095238095238e-05, | |
| "loss": 0.2778, | |
| "step": 704 | |
| }, | |
| { | |
| "epoch": 6.71, | |
| "learning_rate": 3.314285714285715e-05, | |
| "loss": 0.2404, | |
| "step": 705 | |
| }, | |
| { | |
| "epoch": 6.72, | |
| "learning_rate": 3.3104761904761904e-05, | |
| "loss": 0.2026, | |
| "step": 706 | |
| }, | |
| { | |
| "epoch": 6.73, | |
| "learning_rate": 3.3066666666666666e-05, | |
| "loss": 0.233, | |
| "step": 707 | |
| }, | |
| { | |
| "epoch": 6.74, | |
| "learning_rate": 3.302857142857143e-05, | |
| "loss": 0.1336, | |
| "step": 708 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "learning_rate": 3.299047619047619e-05, | |
| "loss": 0.5756, | |
| "step": 709 | |
| }, | |
| { | |
| "epoch": 6.76, | |
| "learning_rate": 3.2952380952380954e-05, | |
| "loss": 0.2682, | |
| "step": 710 | |
| }, | |
| { | |
| "epoch": 6.77, | |
| "learning_rate": 3.291428571428572e-05, | |
| "loss": 0.2527, | |
| "step": 711 | |
| }, | |
| { | |
| "epoch": 6.78, | |
| "learning_rate": 3.287619047619048e-05, | |
| "loss": 0.2413, | |
| "step": 712 | |
| }, | |
| { | |
| "epoch": 6.79, | |
| "learning_rate": 3.2838095238095235e-05, | |
| "loss": 0.1177, | |
| "step": 713 | |
| }, | |
| { | |
| "epoch": 6.8, | |
| "learning_rate": 3.28e-05, | |
| "loss": 0.2555, | |
| "step": 714 | |
| }, | |
| { | |
| "epoch": 6.81, | |
| "learning_rate": 3.276190476190476e-05, | |
| "loss": 0.1707, | |
| "step": 715 | |
| }, | |
| { | |
| "epoch": 6.82, | |
| "learning_rate": 3.272380952380953e-05, | |
| "loss": 0.3685, | |
| "step": 716 | |
| }, | |
| { | |
| "epoch": 6.83, | |
| "learning_rate": 3.2685714285714285e-05, | |
| "loss": 0.2195, | |
| "step": 717 | |
| }, | |
| { | |
| "epoch": 6.84, | |
| "learning_rate": 3.264761904761905e-05, | |
| "loss": 0.3274, | |
| "step": 718 | |
| }, | |
| { | |
| "epoch": 6.85, | |
| "learning_rate": 3.260952380952381e-05, | |
| "loss": 0.1277, | |
| "step": 719 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "learning_rate": 3.2571428571428566e-05, | |
| "loss": 0.2243, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 6.86, | |
| "eval_loss": 0.2541828155517578, | |
| "eval_mean_accuracy": 0.9000582994754289, | |
| "eval_mean_iou": 0.6193374817351068, | |
| "eval_overall_accuracy": 0.9049112425118752, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8826931527872695, | |
| 0.8667018425683736, | |
| 0.950779903070644 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7981694993995296, | |
| 0.8065327679206413, | |
| 0.8726476596202564 | |
| ], | |
| "eval_runtime": 312.8813, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 6.87, | |
| "learning_rate": 3.2533333333333336e-05, | |
| "loss": 0.3461, | |
| "step": 721 | |
| }, | |
| { | |
| "epoch": 6.88, | |
| "learning_rate": 3.24952380952381e-05, | |
| "loss": 0.3337, | |
| "step": 722 | |
| }, | |
| { | |
| "epoch": 6.89, | |
| "learning_rate": 3.245714285714286e-05, | |
| "loss": 0.5336, | |
| "step": 723 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "learning_rate": 3.241904761904762e-05, | |
| "loss": 0.2489, | |
| "step": 724 | |
| }, | |
| { | |
| "epoch": 6.9, | |
| "learning_rate": 3.238095238095238e-05, | |
| "loss": 0.1655, | |
| "step": 725 | |
| }, | |
| { | |
| "epoch": 6.91, | |
| "learning_rate": 3.234285714285714e-05, | |
| "loss": 0.3402, | |
| "step": 726 | |
| }, | |
| { | |
| "epoch": 6.92, | |
| "learning_rate": 3.230476190476191e-05, | |
| "loss": 0.4259, | |
| "step": 727 | |
| }, | |
| { | |
| "epoch": 6.93, | |
| "learning_rate": 3.226666666666667e-05, | |
| "loss": 0.1368, | |
| "step": 728 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "learning_rate": 3.222857142857143e-05, | |
| "loss": 0.481, | |
| "step": 729 | |
| }, | |
| { | |
| "epoch": 6.95, | |
| "learning_rate": 3.219047619047619e-05, | |
| "loss": 0.0719, | |
| "step": 730 | |
| }, | |
| { | |
| "epoch": 6.96, | |
| "learning_rate": 3.215238095238095e-05, | |
| "loss": 0.4516, | |
| "step": 731 | |
| }, | |
| { | |
| "epoch": 6.97, | |
| "learning_rate": 3.211428571428572e-05, | |
| "loss": 0.3524, | |
| "step": 732 | |
| }, | |
| { | |
| "epoch": 6.98, | |
| "learning_rate": 3.207619047619048e-05, | |
| "loss": 0.1742, | |
| "step": 733 | |
| }, | |
| { | |
| "epoch": 6.99, | |
| "learning_rate": 3.203809523809524e-05, | |
| "loss": 0.2285, | |
| "step": 734 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "learning_rate": 3.2e-05, | |
| "loss": 0.0973, | |
| "step": 735 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "learning_rate": 3.196190476190476e-05, | |
| "loss": 0.1585, | |
| "step": 736 | |
| }, | |
| { | |
| "epoch": 7.02, | |
| "learning_rate": 3.1923809523809524e-05, | |
| "loss": 0.2533, | |
| "step": 737 | |
| }, | |
| { | |
| "epoch": 7.03, | |
| "learning_rate": 3.1885714285714286e-05, | |
| "loss": 0.4346, | |
| "step": 738 | |
| }, | |
| { | |
| "epoch": 7.04, | |
| "learning_rate": 3.184761904761905e-05, | |
| "loss": 0.1258, | |
| "step": 739 | |
| }, | |
| { | |
| "epoch": 7.05, | |
| "learning_rate": 3.180952380952381e-05, | |
| "loss": 0.555, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 7.05, | |
| "eval_loss": 0.25991636514663696, | |
| "eval_mean_accuracy": 0.8967893206219594, | |
| "eval_mean_iou": 0.6146987247353446, | |
| "eval_overall_accuracy": 0.9025866732063313, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8703060661307294, | |
| 0.89578821511669, | |
| 0.9242736806184589 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7763840952183226, | |
| 0.8047031212610214, | |
| 0.8777076824620347 | |
| ], | |
| "eval_runtime": 314.3047, | |
| "eval_samples_per_second": 0.665, | |
| "eval_steps_per_second": 0.086, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 7.06, | |
| "learning_rate": 3.1771428571428574e-05, | |
| "loss": 0.3966, | |
| "step": 741 | |
| }, | |
| { | |
| "epoch": 7.07, | |
| "learning_rate": 3.173333333333333e-05, | |
| "loss": 0.0974, | |
| "step": 742 | |
| }, | |
| { | |
| "epoch": 7.08, | |
| "learning_rate": 3.16952380952381e-05, | |
| "loss": 0.3754, | |
| "step": 743 | |
| }, | |
| { | |
| "epoch": 7.09, | |
| "learning_rate": 3.165714285714286e-05, | |
| "loss": 0.1801, | |
| "step": 744 | |
| }, | |
| { | |
| "epoch": 7.1, | |
| "learning_rate": 3.161904761904762e-05, | |
| "loss": 0.4062, | |
| "step": 745 | |
| }, | |
| { | |
| "epoch": 7.1, | |
| "learning_rate": 3.158095238095238e-05, | |
| "loss": 0.2374, | |
| "step": 746 | |
| }, | |
| { | |
| "epoch": 7.11, | |
| "learning_rate": 3.154285714285714e-05, | |
| "loss": 0.3385, | |
| "step": 747 | |
| }, | |
| { | |
| "epoch": 7.12, | |
| "learning_rate": 3.1504761904761905e-05, | |
| "loss": 0.1195, | |
| "step": 748 | |
| }, | |
| { | |
| "epoch": 7.13, | |
| "learning_rate": 3.146666666666667e-05, | |
| "loss": 0.1406, | |
| "step": 749 | |
| }, | |
| { | |
| "epoch": 7.14, | |
| "learning_rate": 3.142857142857143e-05, | |
| "loss": 0.198, | |
| "step": 750 | |
| }, | |
| { | |
| "epoch": 7.15, | |
| "learning_rate": 3.139047619047619e-05, | |
| "loss": 0.1356, | |
| "step": 751 | |
| }, | |
| { | |
| "epoch": 7.16, | |
| "learning_rate": 3.135238095238095e-05, | |
| "loss": 0.7725, | |
| "step": 752 | |
| }, | |
| { | |
| "epoch": 7.17, | |
| "learning_rate": 3.131428571428571e-05, | |
| "loss": 0.2073, | |
| "step": 753 | |
| }, | |
| { | |
| "epoch": 7.18, | |
| "learning_rate": 3.1276190476190474e-05, | |
| "loss": 0.2938, | |
| "step": 754 | |
| }, | |
| { | |
| "epoch": 7.19, | |
| "learning_rate": 3.1238095238095244e-05, | |
| "loss": 0.3026, | |
| "step": 755 | |
| }, | |
| { | |
| "epoch": 7.2, | |
| "learning_rate": 3.12e-05, | |
| "loss": 0.1372, | |
| "step": 756 | |
| }, | |
| { | |
| "epoch": 7.21, | |
| "learning_rate": 3.116190476190476e-05, | |
| "loss": 0.2761, | |
| "step": 757 | |
| }, | |
| { | |
| "epoch": 7.22, | |
| "learning_rate": 3.1123809523809525e-05, | |
| "loss": 0.1061, | |
| "step": 758 | |
| }, | |
| { | |
| "epoch": 7.23, | |
| "learning_rate": 3.108571428571429e-05, | |
| "loss": 0.2109, | |
| "step": 759 | |
| }, | |
| { | |
| "epoch": 7.24, | |
| "learning_rate": 3.104761904761905e-05, | |
| "loss": 0.2038, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 7.24, | |
| "eval_loss": 0.2737942934036255, | |
| "eval_mean_accuracy": 0.8896836357158731, | |
| "eval_mean_iou": 0.6061605431705139, | |
| "eval_overall_accuracy": 0.8946023948712265, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8768671813421066, | |
| 0.8234896475272195, | |
| 0.9686940782782928 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7842928664594223, | |
| 0.7826245034380326, | |
| 0.8577248027846008 | |
| ], | |
| "eval_runtime": 311.392, | |
| "eval_samples_per_second": 0.671, | |
| "eval_steps_per_second": 0.087, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "learning_rate": 3.100952380952381e-05, | |
| "loss": 0.179, | |
| "step": 761 | |
| }, | |
| { | |
| "epoch": 7.26, | |
| "learning_rate": 3.0971428571428575e-05, | |
| "loss": 0.1632, | |
| "step": 762 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "learning_rate": 3.093333333333333e-05, | |
| "loss": 0.3137, | |
| "step": 763 | |
| }, | |
| { | |
| "epoch": 7.28, | |
| "learning_rate": 3.0895238095238093e-05, | |
| "loss": 0.3361, | |
| "step": 764 | |
| }, | |
| { | |
| "epoch": 7.29, | |
| "learning_rate": 3.0857142857142856e-05, | |
| "loss": 0.4295, | |
| "step": 765 | |
| }, | |
| { | |
| "epoch": 7.3, | |
| "learning_rate": 3.0819047619047625e-05, | |
| "loss": 0.1977, | |
| "step": 766 | |
| }, | |
| { | |
| "epoch": 7.3, | |
| "learning_rate": 3.078095238095238e-05, | |
| "loss": 0.2351, | |
| "step": 767 | |
| }, | |
| { | |
| "epoch": 7.31, | |
| "learning_rate": 3.0742857142857144e-05, | |
| "loss": 0.1482, | |
| "step": 768 | |
| }, | |
| { | |
| "epoch": 7.32, | |
| "learning_rate": 3.0704761904761906e-05, | |
| "loss": 0.2352, | |
| "step": 769 | |
| }, | |
| { | |
| "epoch": 7.33, | |
| "learning_rate": 3.066666666666666e-05, | |
| "loss": 0.1274, | |
| "step": 770 | |
| }, | |
| { | |
| "epoch": 7.34, | |
| "learning_rate": 3.062857142857143e-05, | |
| "loss": 0.3289, | |
| "step": 771 | |
| }, | |
| { | |
| "epoch": 7.35, | |
| "learning_rate": 3.0590476190476194e-05, | |
| "loss": 0.2846, | |
| "step": 772 | |
| }, | |
| { | |
| "epoch": 7.36, | |
| "learning_rate": 3.055238095238096e-05, | |
| "loss": 0.1874, | |
| "step": 773 | |
| }, | |
| { | |
| "epoch": 7.37, | |
| "learning_rate": 3.0514285714285716e-05, | |
| "loss": 0.1821, | |
| "step": 774 | |
| }, | |
| { | |
| "epoch": 7.38, | |
| "learning_rate": 3.0476190476190475e-05, | |
| "loss": 0.2923, | |
| "step": 775 | |
| }, | |
| { | |
| "epoch": 7.39, | |
| "learning_rate": 3.0438095238095234e-05, | |
| "loss": 0.4076, | |
| "step": 776 | |
| }, | |
| { | |
| "epoch": 7.4, | |
| "learning_rate": 3.0400000000000004e-05, | |
| "loss": 0.156, | |
| "step": 777 | |
| }, | |
| { | |
| "epoch": 7.41, | |
| "learning_rate": 3.0361904761904763e-05, | |
| "loss": 0.4071, | |
| "step": 778 | |
| }, | |
| { | |
| "epoch": 7.42, | |
| "learning_rate": 3.0323809523809526e-05, | |
| "loss": 0.1959, | |
| "step": 779 | |
| }, | |
| { | |
| "epoch": 7.43, | |
| "learning_rate": 3.0285714285714285e-05, | |
| "loss": 0.4565, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 7.43, | |
| "eval_loss": 0.2686501443386078, | |
| "eval_mean_accuracy": 0.8946670051593069, | |
| "eval_mean_iou": 0.6121163138723884, | |
| "eval_overall_accuracy": 0.8973314129239205, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8797447893434911, | |
| 0.9128273536007999, | |
| 0.8914288725336297 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7908535520246223, | |
| 0.7960219262220629, | |
| 0.8615897772428684 | |
| ], | |
| "eval_runtime": 313.576, | |
| "eval_samples_per_second": 0.667, | |
| "eval_steps_per_second": 0.086, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 7.44, | |
| "learning_rate": 3.0247619047619047e-05, | |
| "loss": 0.2101, | |
| "step": 781 | |
| }, | |
| { | |
| "epoch": 7.45, | |
| "learning_rate": 3.0209523809523813e-05, | |
| "loss": 0.1032, | |
| "step": 782 | |
| }, | |
| { | |
| "epoch": 7.46, | |
| "learning_rate": 3.0171428571428576e-05, | |
| "loss": 0.178, | |
| "step": 783 | |
| }, | |
| { | |
| "epoch": 7.47, | |
| "learning_rate": 3.0133333333333335e-05, | |
| "loss": 0.6194, | |
| "step": 784 | |
| }, | |
| { | |
| "epoch": 7.48, | |
| "learning_rate": 3.0095238095238094e-05, | |
| "loss": 0.1623, | |
| "step": 785 | |
| }, | |
| { | |
| "epoch": 7.49, | |
| "learning_rate": 3.0057142857142857e-05, | |
| "loss": 0.1162, | |
| "step": 786 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 3.0019047619047616e-05, | |
| "loss": 0.1673, | |
| "step": 787 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 2.9980952380952382e-05, | |
| "loss": 0.1217, | |
| "step": 788 | |
| }, | |
| { | |
| "epoch": 7.51, | |
| "learning_rate": 2.9942857142857145e-05, | |
| "loss": 0.1877, | |
| "step": 789 | |
| }, | |
| { | |
| "epoch": 7.52, | |
| "learning_rate": 2.9904761904761907e-05, | |
| "loss": 0.206, | |
| "step": 790 | |
| }, | |
| { | |
| "epoch": 7.53, | |
| "learning_rate": 2.9866666666666666e-05, | |
| "loss": 0.3072, | |
| "step": 791 | |
| }, | |
| { | |
| "epoch": 7.54, | |
| "learning_rate": 2.982857142857143e-05, | |
| "loss": 0.3189, | |
| "step": 792 | |
| }, | |
| { | |
| "epoch": 7.55, | |
| "learning_rate": 2.979047619047619e-05, | |
| "loss": 0.2823, | |
| "step": 793 | |
| }, | |
| { | |
| "epoch": 7.56, | |
| "learning_rate": 2.975238095238095e-05, | |
| "loss": 0.2409, | |
| "step": 794 | |
| }, | |
| { | |
| "epoch": 7.57, | |
| "learning_rate": 2.9714285714285717e-05, | |
| "loss": 0.3207, | |
| "step": 795 | |
| }, | |
| { | |
| "epoch": 7.58, | |
| "learning_rate": 2.9676190476190476e-05, | |
| "loss": 0.1494, | |
| "step": 796 | |
| }, | |
| { | |
| "epoch": 7.59, | |
| "learning_rate": 2.963809523809524e-05, | |
| "loss": 0.2344, | |
| "step": 797 | |
| }, | |
| { | |
| "epoch": 7.6, | |
| "learning_rate": 2.96e-05, | |
| "loss": 0.2105, | |
| "step": 798 | |
| }, | |
| { | |
| "epoch": 7.61, | |
| "learning_rate": 2.9561904761904764e-05, | |
| "loss": 0.2818, | |
| "step": 799 | |
| }, | |
| { | |
| "epoch": 7.62, | |
| "learning_rate": 2.9523809523809523e-05, | |
| "loss": 0.2019, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 7.62, | |
| "eval_loss": 0.24435928463935852, | |
| "eval_mean_accuracy": 0.9026399150025854, | |
| "eval_mean_iou": 0.6208255557026505, | |
| "eval_overall_accuracy": 0.9057628642050858, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8887558117477532, | |
| 0.8995145384050837, | |
| 0.9196493948549196 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7903662639745709, | |
| 0.812593429233497, | |
| 0.8803425296025341 | |
| ], | |
| "eval_runtime": 311.715, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.087, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 7.63, | |
| "learning_rate": 2.9485714285714286e-05, | |
| "loss": 0.2307, | |
| "step": 801 | |
| }, | |
| { | |
| "epoch": 7.64, | |
| "learning_rate": 2.9447619047619048e-05, | |
| "loss": 0.3644, | |
| "step": 802 | |
| }, | |
| { | |
| "epoch": 7.65, | |
| "learning_rate": 2.940952380952381e-05, | |
| "loss": 0.4309, | |
| "step": 803 | |
| }, | |
| { | |
| "epoch": 7.66, | |
| "learning_rate": 2.9371428571428573e-05, | |
| "loss": 0.2129, | |
| "step": 804 | |
| }, | |
| { | |
| "epoch": 7.67, | |
| "learning_rate": 2.9333333333333333e-05, | |
| "loss": 0.1765, | |
| "step": 805 | |
| }, | |
| { | |
| "epoch": 7.68, | |
| "learning_rate": 2.92952380952381e-05, | |
| "loss": 0.1691, | |
| "step": 806 | |
| }, | |
| { | |
| "epoch": 7.69, | |
| "learning_rate": 2.9257142857142858e-05, | |
| "loss": 0.2362, | |
| "step": 807 | |
| }, | |
| { | |
| "epoch": 7.7, | |
| "learning_rate": 2.9219047619047617e-05, | |
| "loss": 0.1922, | |
| "step": 808 | |
| }, | |
| { | |
| "epoch": 7.7, | |
| "learning_rate": 2.9180952380952383e-05, | |
| "loss": 0.346, | |
| "step": 809 | |
| }, | |
| { | |
| "epoch": 7.71, | |
| "learning_rate": 2.9142857142857142e-05, | |
| "loss": 0.1497, | |
| "step": 810 | |
| }, | |
| { | |
| "epoch": 7.72, | |
| "learning_rate": 2.9104761904761905e-05, | |
| "loss": 0.125, | |
| "step": 811 | |
| }, | |
| { | |
| "epoch": 7.73, | |
| "learning_rate": 2.9066666666666667e-05, | |
| "loss": 0.173, | |
| "step": 812 | |
| }, | |
| { | |
| "epoch": 7.74, | |
| "learning_rate": 2.902857142857143e-05, | |
| "loss": 0.3075, | |
| "step": 813 | |
| }, | |
| { | |
| "epoch": 7.75, | |
| "learning_rate": 2.8990476190476193e-05, | |
| "loss": 0.2486, | |
| "step": 814 | |
| }, | |
| { | |
| "epoch": 7.76, | |
| "learning_rate": 2.8952380952380955e-05, | |
| "loss": 0.1833, | |
| "step": 815 | |
| }, | |
| { | |
| "epoch": 7.77, | |
| "learning_rate": 2.8914285714285714e-05, | |
| "loss": 0.1959, | |
| "step": 816 | |
| }, | |
| { | |
| "epoch": 7.78, | |
| "learning_rate": 2.8876190476190477e-05, | |
| "loss": 0.2357, | |
| "step": 817 | |
| }, | |
| { | |
| "epoch": 7.79, | |
| "learning_rate": 2.883809523809524e-05, | |
| "loss": 0.1181, | |
| "step": 818 | |
| }, | |
| { | |
| "epoch": 7.8, | |
| "learning_rate": 2.88e-05, | |
| "loss": 0.1609, | |
| "step": 819 | |
| }, | |
| { | |
| "epoch": 7.81, | |
| "learning_rate": 2.8761904761904765e-05, | |
| "loss": 0.1712, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 7.81, | |
| "eval_loss": 0.24081972241401672, | |
| "eval_mean_accuracy": 0.903651398552134, | |
| "eval_mean_iou": 0.6206344569573434, | |
| "eval_overall_accuracy": 0.9061882942890088, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8952226743735536, | |
| 0.8818211281492251, | |
| 0.9339103931336233 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7872731643989346, | |
| 0.8139999602787924, | |
| 0.8812647031516467 | |
| ], | |
| "eval_runtime": 315.783, | |
| "eval_samples_per_second": 0.662, | |
| "eval_steps_per_second": 0.086, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 7.82, | |
| "learning_rate": 2.8723809523809524e-05, | |
| "loss": 0.3441, | |
| "step": 821 | |
| }, | |
| { | |
| "epoch": 7.83, | |
| "learning_rate": 2.8685714285714286e-05, | |
| "loss": 0.6487, | |
| "step": 822 | |
| }, | |
| { | |
| "epoch": 7.84, | |
| "learning_rate": 2.864761904761905e-05, | |
| "loss": 0.3988, | |
| "step": 823 | |
| }, | |
| { | |
| "epoch": 7.85, | |
| "learning_rate": 2.8609523809523808e-05, | |
| "loss": 0.2892, | |
| "step": 824 | |
| }, | |
| { | |
| "epoch": 7.86, | |
| "learning_rate": 2.857142857142857e-05, | |
| "loss": 0.4413, | |
| "step": 825 | |
| }, | |
| { | |
| "epoch": 7.87, | |
| "learning_rate": 2.8533333333333333e-05, | |
| "loss": 0.246, | |
| "step": 826 | |
| }, | |
| { | |
| "epoch": 7.88, | |
| "learning_rate": 2.8495238095238096e-05, | |
| "loss": 0.0981, | |
| "step": 827 | |
| }, | |
| { | |
| "epoch": 7.89, | |
| "learning_rate": 2.845714285714286e-05, | |
| "loss": 0.0893, | |
| "step": 828 | |
| }, | |
| { | |
| "epoch": 7.9, | |
| "learning_rate": 2.841904761904762e-05, | |
| "loss": 0.2906, | |
| "step": 829 | |
| }, | |
| { | |
| "epoch": 7.9, | |
| "learning_rate": 2.838095238095238e-05, | |
| "loss": 0.2248, | |
| "step": 830 | |
| }, | |
| { | |
| "epoch": 7.91, | |
| "learning_rate": 2.8342857142857146e-05, | |
| "loss": 0.199, | |
| "step": 831 | |
| }, | |
| { | |
| "epoch": 7.92, | |
| "learning_rate": 2.8304761904761906e-05, | |
| "loss": 0.2697, | |
| "step": 832 | |
| }, | |
| { | |
| "epoch": 7.93, | |
| "learning_rate": 2.8266666666666665e-05, | |
| "loss": 0.1863, | |
| "step": 833 | |
| }, | |
| { | |
| "epoch": 7.94, | |
| "learning_rate": 2.822857142857143e-05, | |
| "loss": 0.3751, | |
| "step": 834 | |
| }, | |
| { | |
| "epoch": 7.95, | |
| "learning_rate": 2.819047619047619e-05, | |
| "loss": 0.1482, | |
| "step": 835 | |
| }, | |
| { | |
| "epoch": 7.96, | |
| "learning_rate": 2.8152380952380953e-05, | |
| "loss": 0.429, | |
| "step": 836 | |
| }, | |
| { | |
| "epoch": 7.97, | |
| "learning_rate": 2.8114285714285715e-05, | |
| "loss": 0.3347, | |
| "step": 837 | |
| }, | |
| { | |
| "epoch": 7.98, | |
| "learning_rate": 2.8076190476190478e-05, | |
| "loss": 0.42, | |
| "step": 838 | |
| }, | |
| { | |
| "epoch": 7.99, | |
| "learning_rate": 2.803809523809524e-05, | |
| "loss": 0.2002, | |
| "step": 839 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "learning_rate": 2.8e-05, | |
| "loss": 0.3147, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 0.2523290812969208, | |
| "eval_mean_accuracy": 0.8914129303410534, | |
| "eval_mean_iou": 0.6105393258237795, | |
| "eval_overall_accuracy": 0.8970235203411171, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8709045832497843, | |
| 0.8557740218111082, | |
| 0.9475601859622679 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7793160408477475, | |
| 0.7939125577693635, | |
| 0.8689287046780069 | |
| ], | |
| "eval_runtime": 313.4479, | |
| "eval_samples_per_second": 0.667, | |
| "eval_steps_per_second": 0.086, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 8.01, | |
| "learning_rate": 2.7961904761904762e-05, | |
| "loss": 0.1686, | |
| "step": 841 | |
| }, | |
| { | |
| "epoch": 8.02, | |
| "learning_rate": 2.7923809523809525e-05, | |
| "loss": 0.2353, | |
| "step": 842 | |
| }, | |
| { | |
| "epoch": 8.03, | |
| "learning_rate": 2.7885714285714287e-05, | |
| "loss": 0.2323, | |
| "step": 843 | |
| }, | |
| { | |
| "epoch": 8.04, | |
| "learning_rate": 2.7847619047619047e-05, | |
| "loss": 0.138, | |
| "step": 844 | |
| }, | |
| { | |
| "epoch": 8.05, | |
| "learning_rate": 2.7809523809523813e-05, | |
| "loss": 0.1185, | |
| "step": 845 | |
| }, | |
| { | |
| "epoch": 8.06, | |
| "learning_rate": 2.7771428571428572e-05, | |
| "loss": 0.133, | |
| "step": 846 | |
| }, | |
| { | |
| "epoch": 8.07, | |
| "learning_rate": 2.7733333333333334e-05, | |
| "loss": 0.5517, | |
| "step": 847 | |
| }, | |
| { | |
| "epoch": 8.08, | |
| "learning_rate": 2.7695238095238097e-05, | |
| "loss": 0.1295, | |
| "step": 848 | |
| }, | |
| { | |
| "epoch": 8.09, | |
| "learning_rate": 2.7657142857142856e-05, | |
| "loss": 0.2295, | |
| "step": 849 | |
| }, | |
| { | |
| "epoch": 8.1, | |
| "learning_rate": 2.761904761904762e-05, | |
| "loss": 0.2462, | |
| "step": 850 | |
| }, | |
| { | |
| "epoch": 8.1, | |
| "learning_rate": 2.758095238095238e-05, | |
| "loss": 0.1859, | |
| "step": 851 | |
| }, | |
| { | |
| "epoch": 8.11, | |
| "learning_rate": 2.7542857142857144e-05, | |
| "loss": 0.2837, | |
| "step": 852 | |
| }, | |
| { | |
| "epoch": 8.12, | |
| "learning_rate": 2.7504761904761907e-05, | |
| "loss": 0.1417, | |
| "step": 853 | |
| }, | |
| { | |
| "epoch": 8.13, | |
| "learning_rate": 2.746666666666667e-05, | |
| "loss": 0.248, | |
| "step": 854 | |
| }, | |
| { | |
| "epoch": 8.14, | |
| "learning_rate": 2.7428571428571428e-05, | |
| "loss": 0.2186, | |
| "step": 855 | |
| }, | |
| { | |
| "epoch": 8.15, | |
| "learning_rate": 2.739047619047619e-05, | |
| "loss": 0.1156, | |
| "step": 856 | |
| }, | |
| { | |
| "epoch": 8.16, | |
| "learning_rate": 2.7352380952380953e-05, | |
| "loss": 0.3033, | |
| "step": 857 | |
| }, | |
| { | |
| "epoch": 8.17, | |
| "learning_rate": 2.7314285714285713e-05, | |
| "loss": 0.1766, | |
| "step": 858 | |
| }, | |
| { | |
| "epoch": 8.18, | |
| "learning_rate": 2.727619047619048e-05, | |
| "loss": 0.625, | |
| "step": 859 | |
| }, | |
| { | |
| "epoch": 8.19, | |
| "learning_rate": 2.7238095238095238e-05, | |
| "loss": 0.2728, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 8.19, | |
| "eval_loss": 0.2570814788341522, | |
| "eval_mean_accuracy": 0.8971290486632969, | |
| "eval_mean_iou": 0.6161862345067403, | |
| "eval_overall_accuracy": 0.9027947009283755, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8735822015212684, | |
| 0.8803461308727961, | |
| 0.9374588135958263 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7826368269936486, | |
| 0.8036127661378617, | |
| 0.8784953448954509 | |
| ], | |
| "eval_runtime": 313.8617, | |
| "eval_samples_per_second": 0.666, | |
| "eval_steps_per_second": 0.086, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 8.2, | |
| "learning_rate": 2.72e-05, | |
| "loss": 0.1633, | |
| "step": 861 | |
| }, | |
| { | |
| "epoch": 8.21, | |
| "learning_rate": 2.7161904761904763e-05, | |
| "loss": 0.1206, | |
| "step": 862 | |
| }, | |
| { | |
| "epoch": 8.22, | |
| "learning_rate": 2.7123809523809526e-05, | |
| "loss": 0.1915, | |
| "step": 863 | |
| }, | |
| { | |
| "epoch": 8.23, | |
| "learning_rate": 2.7085714285714285e-05, | |
| "loss": 0.1536, | |
| "step": 864 | |
| }, | |
| { | |
| "epoch": 8.24, | |
| "learning_rate": 2.7047619047619047e-05, | |
| "loss": 0.1797, | |
| "step": 865 | |
| }, | |
| { | |
| "epoch": 8.25, | |
| "learning_rate": 2.700952380952381e-05, | |
| "loss": 0.4665, | |
| "step": 866 | |
| }, | |
| { | |
| "epoch": 8.26, | |
| "learning_rate": 2.6971428571428573e-05, | |
| "loss": 0.2153, | |
| "step": 867 | |
| }, | |
| { | |
| "epoch": 8.27, | |
| "learning_rate": 2.6933333333333335e-05, | |
| "loss": 0.204, | |
| "step": 868 | |
| }, | |
| { | |
| "epoch": 8.28, | |
| "learning_rate": 2.6895238095238094e-05, | |
| "loss": 0.0965, | |
| "step": 869 | |
| }, | |
| { | |
| "epoch": 8.29, | |
| "learning_rate": 2.685714285714286e-05, | |
| "loss": 0.6734, | |
| "step": 870 | |
| }, | |
| { | |
| "epoch": 8.3, | |
| "learning_rate": 2.681904761904762e-05, | |
| "loss": 0.3215, | |
| "step": 871 | |
| }, | |
| { | |
| "epoch": 8.3, | |
| "learning_rate": 2.678095238095238e-05, | |
| "loss": 0.1637, | |
| "step": 872 | |
| }, | |
| { | |
| "epoch": 8.31, | |
| "learning_rate": 2.6742857142857145e-05, | |
| "loss": 0.1549, | |
| "step": 873 | |
| }, | |
| { | |
| "epoch": 8.32, | |
| "learning_rate": 2.6704761904761904e-05, | |
| "loss": 0.2384, | |
| "step": 874 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "learning_rate": 2.6666666666666667e-05, | |
| "loss": 0.3777, | |
| "step": 875 | |
| }, | |
| { | |
| "epoch": 8.34, | |
| "learning_rate": 2.662857142857143e-05, | |
| "loss": 0.2529, | |
| "step": 876 | |
| }, | |
| { | |
| "epoch": 8.35, | |
| "learning_rate": 2.6590476190476192e-05, | |
| "loss": 0.1331, | |
| "step": 877 | |
| }, | |
| { | |
| "epoch": 8.36, | |
| "learning_rate": 2.6552380952380954e-05, | |
| "loss": 0.1868, | |
| "step": 878 | |
| }, | |
| { | |
| "epoch": 8.37, | |
| "learning_rate": 2.6514285714285717e-05, | |
| "loss": 0.1354, | |
| "step": 879 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "learning_rate": 2.6476190476190476e-05, | |
| "loss": 0.2331, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 8.38, | |
| "eval_loss": 0.2514166533946991, | |
| "eval_mean_accuracy": 0.8969478265381646, | |
| "eval_mean_iou": 0.615667305407035, | |
| "eval_overall_accuracy": 0.9019213888920181, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8790150578405941, | |
| 0.8636829988719805, | |
| 0.9481454229019193 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7923205053807721, | |
| 0.7998985334477468, | |
| 0.8704501827996207 | |
| ], | |
| "eval_runtime": 312.5267, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 8.39, | |
| "learning_rate": 2.643809523809524e-05, | |
| "loss": 0.4243, | |
| "step": 881 | |
| }, | |
| { | |
| "epoch": 8.4, | |
| "learning_rate": 2.64e-05, | |
| "loss": 0.2642, | |
| "step": 882 | |
| }, | |
| { | |
| "epoch": 8.41, | |
| "learning_rate": 2.636190476190476e-05, | |
| "loss": 0.1035, | |
| "step": 883 | |
| }, | |
| { | |
| "epoch": 8.42, | |
| "learning_rate": 2.6323809523809527e-05, | |
| "loss": 0.2652, | |
| "step": 884 | |
| }, | |
| { | |
| "epoch": 8.43, | |
| "learning_rate": 2.6285714285714286e-05, | |
| "loss": 0.2172, | |
| "step": 885 | |
| }, | |
| { | |
| "epoch": 8.44, | |
| "learning_rate": 2.624761904761905e-05, | |
| "loss": 0.248, | |
| "step": 886 | |
| }, | |
| { | |
| "epoch": 8.45, | |
| "learning_rate": 2.620952380952381e-05, | |
| "loss": 0.3137, | |
| "step": 887 | |
| }, | |
| { | |
| "epoch": 8.46, | |
| "learning_rate": 2.617142857142857e-05, | |
| "loss": 0.4436, | |
| "step": 888 | |
| }, | |
| { | |
| "epoch": 8.47, | |
| "learning_rate": 2.6133333333333333e-05, | |
| "loss": 0.5373, | |
| "step": 889 | |
| }, | |
| { | |
| "epoch": 8.48, | |
| "learning_rate": 2.6095238095238095e-05, | |
| "loss": 0.6906, | |
| "step": 890 | |
| }, | |
| { | |
| "epoch": 8.49, | |
| "learning_rate": 2.6057142857142858e-05, | |
| "loss": 0.2221, | |
| "step": 891 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 2.601904761904762e-05, | |
| "loss": 0.2849, | |
| "step": 892 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "learning_rate": 2.5980952380952383e-05, | |
| "loss": 0.1087, | |
| "step": 893 | |
| }, | |
| { | |
| "epoch": 8.51, | |
| "learning_rate": 2.5942857142857142e-05, | |
| "loss": 0.1399, | |
| "step": 894 | |
| }, | |
| { | |
| "epoch": 8.52, | |
| "learning_rate": 2.5904761904761908e-05, | |
| "loss": 0.316, | |
| "step": 895 | |
| }, | |
| { | |
| "epoch": 8.53, | |
| "learning_rate": 2.5866666666666667e-05, | |
| "loss": 0.1483, | |
| "step": 896 | |
| }, | |
| { | |
| "epoch": 8.54, | |
| "learning_rate": 2.5828571428571427e-05, | |
| "loss": 0.1641, | |
| "step": 897 | |
| }, | |
| { | |
| "epoch": 8.55, | |
| "learning_rate": 2.5790476190476193e-05, | |
| "loss": 0.1301, | |
| "step": 898 | |
| }, | |
| { | |
| "epoch": 8.56, | |
| "learning_rate": 2.5752380952380952e-05, | |
| "loss": 0.3019, | |
| "step": 899 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "learning_rate": 2.5714285714285714e-05, | |
| "loss": 0.1931, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 8.57, | |
| "eval_loss": 0.27457961440086365, | |
| "eval_mean_accuracy": 0.8976516417467254, | |
| "eval_mean_iou": 0.6050808302266641, | |
| "eval_overall_accuracy": 0.8944967529214936, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.9191530626348033, | |
| 0.8502071450794207, | |
| 0.9235947175259522 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7476359293005181, | |
| 0.7860042154258267, | |
| 0.8866831761803117 | |
| ], | |
| "eval_runtime": 312.6328, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 8.58, | |
| "learning_rate": 2.5676190476190477e-05, | |
| "loss": 0.2374, | |
| "step": 901 | |
| }, | |
| { | |
| "epoch": 8.59, | |
| "learning_rate": 2.563809523809524e-05, | |
| "loss": 0.1562, | |
| "step": 902 | |
| }, | |
| { | |
| "epoch": 8.6, | |
| "learning_rate": 2.5600000000000002e-05, | |
| "loss": 0.1257, | |
| "step": 903 | |
| }, | |
| { | |
| "epoch": 8.61, | |
| "learning_rate": 2.556190476190476e-05, | |
| "loss": 0.1403, | |
| "step": 904 | |
| }, | |
| { | |
| "epoch": 8.62, | |
| "learning_rate": 2.5523809523809524e-05, | |
| "loss": 0.4939, | |
| "step": 905 | |
| }, | |
| { | |
| "epoch": 8.63, | |
| "learning_rate": 2.5485714285714287e-05, | |
| "loss": 0.3707, | |
| "step": 906 | |
| }, | |
| { | |
| "epoch": 8.64, | |
| "learning_rate": 2.544761904761905e-05, | |
| "loss": 0.4653, | |
| "step": 907 | |
| }, | |
| { | |
| "epoch": 8.65, | |
| "learning_rate": 2.540952380952381e-05, | |
| "loss": 0.25, | |
| "step": 908 | |
| }, | |
| { | |
| "epoch": 8.66, | |
| "learning_rate": 2.5371428571428574e-05, | |
| "loss": 0.1689, | |
| "step": 909 | |
| }, | |
| { | |
| "epoch": 8.67, | |
| "learning_rate": 2.5333333333333334e-05, | |
| "loss": 0.6853, | |
| "step": 910 | |
| }, | |
| { | |
| "epoch": 8.68, | |
| "learning_rate": 2.5295238095238096e-05, | |
| "loss": 0.2157, | |
| "step": 911 | |
| }, | |
| { | |
| "epoch": 8.69, | |
| "learning_rate": 2.525714285714286e-05, | |
| "loss": 0.3642, | |
| "step": 912 | |
| }, | |
| { | |
| "epoch": 8.7, | |
| "learning_rate": 2.5219047619047618e-05, | |
| "loss": 0.2128, | |
| "step": 913 | |
| }, | |
| { | |
| "epoch": 8.7, | |
| "learning_rate": 2.518095238095238e-05, | |
| "loss": 0.4766, | |
| "step": 914 | |
| }, | |
| { | |
| "epoch": 8.71, | |
| "learning_rate": 2.5142857142857143e-05, | |
| "loss": 0.3221, | |
| "step": 915 | |
| }, | |
| { | |
| "epoch": 8.72, | |
| "learning_rate": 2.5104761904761906e-05, | |
| "loss": 0.241, | |
| "step": 916 | |
| }, | |
| { | |
| "epoch": 8.73, | |
| "learning_rate": 2.506666666666667e-05, | |
| "loss": 0.1639, | |
| "step": 917 | |
| }, | |
| { | |
| "epoch": 8.74, | |
| "learning_rate": 2.502857142857143e-05, | |
| "loss": 0.1213, | |
| "step": 918 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "learning_rate": 2.499047619047619e-05, | |
| "loss": 0.1997, | |
| "step": 919 | |
| }, | |
| { | |
| "epoch": 8.76, | |
| "learning_rate": 2.4952380952380953e-05, | |
| "loss": 0.2125, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 8.76, | |
| "eval_loss": 0.2505098283290863, | |
| "eval_mean_accuracy": 0.8983663721691632, | |
| "eval_mean_iou": 0.612813068904127, | |
| "eval_overall_accuracy": 0.9008346921965682, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8928363942762543, | |
| 0.8590463369079563, | |
| 0.9432163853232787 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7756881101150507, | |
| 0.7976389411841481, | |
| 0.8779252243173093 | |
| ], | |
| "eval_runtime": 313.0756, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 8.77, | |
| "learning_rate": 2.4914285714285715e-05, | |
| "loss": 0.2452, | |
| "step": 921 | |
| }, | |
| { | |
| "epoch": 8.78, | |
| "learning_rate": 2.4876190476190475e-05, | |
| "loss": 0.0879, | |
| "step": 922 | |
| }, | |
| { | |
| "epoch": 8.79, | |
| "learning_rate": 2.483809523809524e-05, | |
| "loss": 0.1264, | |
| "step": 923 | |
| }, | |
| { | |
| "epoch": 8.8, | |
| "learning_rate": 2.48e-05, | |
| "loss": 0.4126, | |
| "step": 924 | |
| }, | |
| { | |
| "epoch": 8.81, | |
| "learning_rate": 2.4761904761904762e-05, | |
| "loss": 0.2081, | |
| "step": 925 | |
| }, | |
| { | |
| "epoch": 8.82, | |
| "learning_rate": 2.4723809523809525e-05, | |
| "loss": 0.26, | |
| "step": 926 | |
| }, | |
| { | |
| "epoch": 8.83, | |
| "learning_rate": 2.4685714285714288e-05, | |
| "loss": 0.1514, | |
| "step": 927 | |
| }, | |
| { | |
| "epoch": 8.84, | |
| "learning_rate": 2.4647619047619047e-05, | |
| "loss": 0.184, | |
| "step": 928 | |
| }, | |
| { | |
| "epoch": 8.85, | |
| "learning_rate": 2.460952380952381e-05, | |
| "loss": 0.2157, | |
| "step": 929 | |
| }, | |
| { | |
| "epoch": 8.86, | |
| "learning_rate": 2.4571428571428572e-05, | |
| "loss": 0.1669, | |
| "step": 930 | |
| }, | |
| { | |
| "epoch": 8.87, | |
| "learning_rate": 2.4533333333333334e-05, | |
| "loss": 0.1282, | |
| "step": 931 | |
| }, | |
| { | |
| "epoch": 8.88, | |
| "learning_rate": 2.4495238095238097e-05, | |
| "loss": 0.324, | |
| "step": 932 | |
| }, | |
| { | |
| "epoch": 8.89, | |
| "learning_rate": 2.4457142857142856e-05, | |
| "loss": 0.4619, | |
| "step": 933 | |
| }, | |
| { | |
| "epoch": 8.9, | |
| "learning_rate": 2.4419047619047622e-05, | |
| "loss": 0.1872, | |
| "step": 934 | |
| }, | |
| { | |
| "epoch": 8.9, | |
| "learning_rate": 2.438095238095238e-05, | |
| "loss": 0.2385, | |
| "step": 935 | |
| }, | |
| { | |
| "epoch": 8.91, | |
| "learning_rate": 2.434285714285714e-05, | |
| "loss": 0.1629, | |
| "step": 936 | |
| }, | |
| { | |
| "epoch": 8.92, | |
| "learning_rate": 2.4304761904761907e-05, | |
| "loss": 0.1724, | |
| "step": 937 | |
| }, | |
| { | |
| "epoch": 8.93, | |
| "learning_rate": 2.4266666666666666e-05, | |
| "loss": 0.3602, | |
| "step": 938 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "learning_rate": 2.422857142857143e-05, | |
| "loss": 0.2474, | |
| "step": 939 | |
| }, | |
| { | |
| "epoch": 8.95, | |
| "learning_rate": 2.419047619047619e-05, | |
| "loss": 0.2198, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 8.95, | |
| "eval_loss": 0.26068347692489624, | |
| "eval_mean_accuracy": 0.8937322414996922, | |
| "eval_mean_iou": 0.6100950250001631, | |
| "eval_overall_accuracy": 0.8983402239562067, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8774093317188068, | |
| 0.8609378441816838, | |
| 0.942849548598586 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7706276007035305, | |
| 0.7946895473100443, | |
| 0.8750629519870774 | |
| ], | |
| "eval_runtime": 314.2529, | |
| "eval_samples_per_second": 0.665, | |
| "eval_steps_per_second": 0.086, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 8.96, | |
| "learning_rate": 2.4152380952380954e-05, | |
| "loss": 0.1497, | |
| "step": 941 | |
| }, | |
| { | |
| "epoch": 8.97, | |
| "learning_rate": 2.4114285714285716e-05, | |
| "loss": 0.4606, | |
| "step": 942 | |
| }, | |
| { | |
| "epoch": 8.98, | |
| "learning_rate": 2.407619047619048e-05, | |
| "loss": 0.1392, | |
| "step": 943 | |
| }, | |
| { | |
| "epoch": 8.99, | |
| "learning_rate": 2.4038095238095238e-05, | |
| "loss": 0.265, | |
| "step": 944 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "learning_rate": 2.4e-05, | |
| "loss": 0.0757, | |
| "step": 945 | |
| }, | |
| { | |
| "epoch": 9.01, | |
| "learning_rate": 2.3961904761904763e-05, | |
| "loss": 0.1558, | |
| "step": 946 | |
| }, | |
| { | |
| "epoch": 9.02, | |
| "learning_rate": 2.3923809523809522e-05, | |
| "loss": 0.1543, | |
| "step": 947 | |
| }, | |
| { | |
| "epoch": 9.03, | |
| "learning_rate": 2.388571428571429e-05, | |
| "loss": 0.7747, | |
| "step": 948 | |
| }, | |
| { | |
| "epoch": 9.04, | |
| "learning_rate": 2.3847619047619048e-05, | |
| "loss": 0.2361, | |
| "step": 949 | |
| }, | |
| { | |
| "epoch": 9.05, | |
| "learning_rate": 2.380952380952381e-05, | |
| "loss": 0.2289, | |
| "step": 950 | |
| }, | |
| { | |
| "epoch": 9.06, | |
| "learning_rate": 2.3771428571428573e-05, | |
| "loss": 0.2041, | |
| "step": 951 | |
| }, | |
| { | |
| "epoch": 9.07, | |
| "learning_rate": 2.3733333333333332e-05, | |
| "loss": 0.3176, | |
| "step": 952 | |
| }, | |
| { | |
| "epoch": 9.08, | |
| "learning_rate": 2.3695238095238095e-05, | |
| "loss": 0.2645, | |
| "step": 953 | |
| }, | |
| { | |
| "epoch": 9.09, | |
| "learning_rate": 2.3657142857142857e-05, | |
| "loss": 0.2134, | |
| "step": 954 | |
| }, | |
| { | |
| "epoch": 9.1, | |
| "learning_rate": 2.361904761904762e-05, | |
| "loss": 0.3534, | |
| "step": 955 | |
| }, | |
| { | |
| "epoch": 9.1, | |
| "learning_rate": 2.3580952380952382e-05, | |
| "loss": 0.5658, | |
| "step": 956 | |
| }, | |
| { | |
| "epoch": 9.11, | |
| "learning_rate": 2.3542857142857145e-05, | |
| "loss": 0.3015, | |
| "step": 957 | |
| }, | |
| { | |
| "epoch": 9.12, | |
| "learning_rate": 2.3504761904761904e-05, | |
| "loss": 0.2771, | |
| "step": 958 | |
| }, | |
| { | |
| "epoch": 9.13, | |
| "learning_rate": 2.346666666666667e-05, | |
| "loss": 0.2427, | |
| "step": 959 | |
| }, | |
| { | |
| "epoch": 9.14, | |
| "learning_rate": 2.342857142857143e-05, | |
| "loss": 0.2464, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 9.14, | |
| "eval_loss": 0.2591571807861328, | |
| "eval_mean_accuracy": 0.8984562294819446, | |
| "eval_mean_iou": 0.6124837420944238, | |
| "eval_overall_accuracy": 0.8992220703285481, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8997561709372285, | |
| 0.8658425260258984, | |
| 0.9297699914827068 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7682976150997468, | |
| 0.7951385602350839, | |
| 0.8864987930428644 | |
| ], | |
| "eval_runtime": 313.7663, | |
| "eval_samples_per_second": 0.666, | |
| "eval_steps_per_second": 0.086, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 9.15, | |
| "learning_rate": 2.339047619047619e-05, | |
| "loss": 0.1632, | |
| "step": 961 | |
| }, | |
| { | |
| "epoch": 9.16, | |
| "learning_rate": 2.3352380952380955e-05, | |
| "loss": 0.17, | |
| "step": 962 | |
| }, | |
| { | |
| "epoch": 9.17, | |
| "learning_rate": 2.3314285714285714e-05, | |
| "loss": 0.1462, | |
| "step": 963 | |
| }, | |
| { | |
| "epoch": 9.18, | |
| "learning_rate": 2.3276190476190476e-05, | |
| "loss": 0.2624, | |
| "step": 964 | |
| }, | |
| { | |
| "epoch": 9.19, | |
| "learning_rate": 2.323809523809524e-05, | |
| "loss": 0.1496, | |
| "step": 965 | |
| }, | |
| { | |
| "epoch": 9.2, | |
| "learning_rate": 2.32e-05, | |
| "loss": 0.0876, | |
| "step": 966 | |
| }, | |
| { | |
| "epoch": 9.21, | |
| "learning_rate": 2.3161904761904764e-05, | |
| "loss": 0.2294, | |
| "step": 967 | |
| }, | |
| { | |
| "epoch": 9.22, | |
| "learning_rate": 2.3123809523809523e-05, | |
| "loss": 0.37, | |
| "step": 968 | |
| }, | |
| { | |
| "epoch": 9.23, | |
| "learning_rate": 2.3085714285714286e-05, | |
| "loss": 0.0796, | |
| "step": 969 | |
| }, | |
| { | |
| "epoch": 9.24, | |
| "learning_rate": 2.304761904761905e-05, | |
| "loss": 0.1018, | |
| "step": 970 | |
| }, | |
| { | |
| "epoch": 9.25, | |
| "learning_rate": 2.300952380952381e-05, | |
| "loss": 0.1237, | |
| "step": 971 | |
| }, | |
| { | |
| "epoch": 9.26, | |
| "learning_rate": 2.297142857142857e-05, | |
| "loss": 0.2908, | |
| "step": 972 | |
| }, | |
| { | |
| "epoch": 9.27, | |
| "learning_rate": 2.2933333333333336e-05, | |
| "loss": 0.2255, | |
| "step": 973 | |
| }, | |
| { | |
| "epoch": 9.28, | |
| "learning_rate": 2.2895238095238095e-05, | |
| "loss": 0.1966, | |
| "step": 974 | |
| }, | |
| { | |
| "epoch": 9.29, | |
| "learning_rate": 2.2857142857142858e-05, | |
| "loss": 0.3288, | |
| "step": 975 | |
| }, | |
| { | |
| "epoch": 9.3, | |
| "learning_rate": 2.281904761904762e-05, | |
| "loss": 0.1549, | |
| "step": 976 | |
| }, | |
| { | |
| "epoch": 9.3, | |
| "learning_rate": 2.278095238095238e-05, | |
| "loss": 0.1712, | |
| "step": 977 | |
| }, | |
| { | |
| "epoch": 9.31, | |
| "learning_rate": 2.2742857142857142e-05, | |
| "loss": 0.348, | |
| "step": 978 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "learning_rate": 2.2704761904761905e-05, | |
| "loss": 0.4758, | |
| "step": 979 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "learning_rate": 2.2666666666666668e-05, | |
| "loss": 0.09, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 9.33, | |
| "eval_loss": 0.24594514071941376, | |
| "eval_mean_accuracy": 0.8976823290592709, | |
| "eval_mean_iou": 0.614370481556707, | |
| "eval_overall_accuracy": 0.9023572177360938, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8807060601112365, | |
| 0.867230164121195, | |
| 0.9451107629453812 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7780426702466995, | |
| 0.8001473769505499, | |
| 0.8792918790295785 | |
| ], | |
| "eval_runtime": 311.9502, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.087, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 9.34, | |
| "learning_rate": 2.262857142857143e-05, | |
| "loss": 0.1954, | |
| "step": 981 | |
| }, | |
| { | |
| "epoch": 9.35, | |
| "learning_rate": 2.2590476190476193e-05, | |
| "loss": 0.1706, | |
| "step": 982 | |
| }, | |
| { | |
| "epoch": 9.36, | |
| "learning_rate": 2.2552380952380952e-05, | |
| "loss": 0.1796, | |
| "step": 983 | |
| }, | |
| { | |
| "epoch": 9.37, | |
| "learning_rate": 2.2514285714285715e-05, | |
| "loss": 0.205, | |
| "step": 984 | |
| }, | |
| { | |
| "epoch": 9.38, | |
| "learning_rate": 2.2476190476190477e-05, | |
| "loss": 0.1237, | |
| "step": 985 | |
| }, | |
| { | |
| "epoch": 9.39, | |
| "learning_rate": 2.2438095238095236e-05, | |
| "loss": 0.1374, | |
| "step": 986 | |
| }, | |
| { | |
| "epoch": 9.4, | |
| "learning_rate": 2.2400000000000002e-05, | |
| "loss": 0.2495, | |
| "step": 987 | |
| }, | |
| { | |
| "epoch": 9.41, | |
| "learning_rate": 2.236190476190476e-05, | |
| "loss": 0.1098, | |
| "step": 988 | |
| }, | |
| { | |
| "epoch": 9.42, | |
| "learning_rate": 2.2323809523809524e-05, | |
| "loss": 0.2569, | |
| "step": 989 | |
| }, | |
| { | |
| "epoch": 9.43, | |
| "learning_rate": 2.2285714285714287e-05, | |
| "loss": 0.0938, | |
| "step": 990 | |
| }, | |
| { | |
| "epoch": 9.44, | |
| "learning_rate": 2.224761904761905e-05, | |
| "loss": 0.3442, | |
| "step": 991 | |
| }, | |
| { | |
| "epoch": 9.45, | |
| "learning_rate": 2.220952380952381e-05, | |
| "loss": 0.1518, | |
| "step": 992 | |
| }, | |
| { | |
| "epoch": 9.46, | |
| "learning_rate": 2.217142857142857e-05, | |
| "loss": 0.1757, | |
| "step": 993 | |
| }, | |
| { | |
| "epoch": 9.47, | |
| "learning_rate": 2.2133333333333334e-05, | |
| "loss": 0.6481, | |
| "step": 994 | |
| }, | |
| { | |
| "epoch": 9.48, | |
| "learning_rate": 2.2095238095238096e-05, | |
| "loss": 0.169, | |
| "step": 995 | |
| }, | |
| { | |
| "epoch": 9.49, | |
| "learning_rate": 2.205714285714286e-05, | |
| "loss": 0.2701, | |
| "step": 996 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 2.2019047619047618e-05, | |
| "loss": 0.2841, | |
| "step": 997 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "learning_rate": 2.1980952380952384e-05, | |
| "loss": 0.2717, | |
| "step": 998 | |
| }, | |
| { | |
| "epoch": 9.51, | |
| "learning_rate": 2.1942857142857143e-05, | |
| "loss": 0.0683, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 9.52, | |
| "learning_rate": 2.1904761904761903e-05, | |
| "loss": 0.1395, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 9.52, | |
| "eval_loss": 0.25625285506248474, | |
| "eval_mean_accuracy": 0.8939080156316065, | |
| "eval_mean_iou": 0.6085917895362726, | |
| "eval_overall_accuracy": 0.8976012292384881, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8835657152391778, | |
| 0.8490748908607885, | |
| 0.9490834407948533 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7727126899542619, | |
| 0.788655277962166, | |
| 0.8729991902286626 | |
| ], | |
| "eval_runtime": 311.7651, | |
| "eval_samples_per_second": 0.67, | |
| "eval_steps_per_second": 0.087, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 9.53, | |
| "learning_rate": 2.186666666666667e-05, | |
| "loss": 0.2014, | |
| "step": 1001 | |
| }, | |
| { | |
| "epoch": 9.54, | |
| "learning_rate": 2.1828571428571428e-05, | |
| "loss": 0.166, | |
| "step": 1002 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "learning_rate": 2.179047619047619e-05, | |
| "loss": 0.2785, | |
| "step": 1003 | |
| }, | |
| { | |
| "epoch": 9.56, | |
| "learning_rate": 2.1752380952380953e-05, | |
| "loss": 0.1908, | |
| "step": 1004 | |
| }, | |
| { | |
| "epoch": 9.57, | |
| "learning_rate": 2.1714285714285715e-05, | |
| "loss": 0.1584, | |
| "step": 1005 | |
| }, | |
| { | |
| "epoch": 9.58, | |
| "learning_rate": 2.1676190476190478e-05, | |
| "loss": 0.4783, | |
| "step": 1006 | |
| }, | |
| { | |
| "epoch": 9.59, | |
| "learning_rate": 2.163809523809524e-05, | |
| "loss": 0.181, | |
| "step": 1007 | |
| }, | |
| { | |
| "epoch": 9.6, | |
| "learning_rate": 2.16e-05, | |
| "loss": 0.5511, | |
| "step": 1008 | |
| }, | |
| { | |
| "epoch": 9.61, | |
| "learning_rate": 2.1561904761904762e-05, | |
| "loss": 0.2699, | |
| "step": 1009 | |
| }, | |
| { | |
| "epoch": 9.62, | |
| "learning_rate": 2.1523809523809525e-05, | |
| "loss": 0.2134, | |
| "step": 1010 | |
| }, | |
| { | |
| "epoch": 9.63, | |
| "learning_rate": 2.1485714285714284e-05, | |
| "loss": 0.1871, | |
| "step": 1011 | |
| }, | |
| { | |
| "epoch": 9.64, | |
| "learning_rate": 2.144761904761905e-05, | |
| "loss": 0.0923, | |
| "step": 1012 | |
| }, | |
| { | |
| "epoch": 9.65, | |
| "learning_rate": 2.140952380952381e-05, | |
| "loss": 0.2681, | |
| "step": 1013 | |
| }, | |
| { | |
| "epoch": 9.66, | |
| "learning_rate": 2.1371428571428572e-05, | |
| "loss": 0.3004, | |
| "step": 1014 | |
| }, | |
| { | |
| "epoch": 9.67, | |
| "learning_rate": 2.1333333333333335e-05, | |
| "loss": 0.4462, | |
| "step": 1015 | |
| }, | |
| { | |
| "epoch": 9.68, | |
| "learning_rate": 2.1295238095238094e-05, | |
| "loss": 0.2157, | |
| "step": 1016 | |
| }, | |
| { | |
| "epoch": 9.69, | |
| "learning_rate": 2.1257142857142856e-05, | |
| "loss": 0.2322, | |
| "step": 1017 | |
| }, | |
| { | |
| "epoch": 9.7, | |
| "learning_rate": 2.121904761904762e-05, | |
| "loss": 0.145, | |
| "step": 1018 | |
| }, | |
| { | |
| "epoch": 9.7, | |
| "learning_rate": 2.118095238095238e-05, | |
| "loss": 0.2499, | |
| "step": 1019 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "learning_rate": 2.1142857142857144e-05, | |
| "loss": 0.1395, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 9.71, | |
| "eval_loss": 0.23878487944602966, | |
| "eval_mean_accuracy": 0.9028894850388225, | |
| "eval_mean_iou": 0.6248332773963226, | |
| "eval_overall_accuracy": 0.906955780559166, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8812538867640989, | |
| 0.9229016635469398, | |
| 0.9045129048054287 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.8109244917297944, | |
| 0.8177144655044919, | |
| 0.8706941523510038 | |
| ], | |
| "eval_runtime": 312.4049, | |
| "eval_samples_per_second": 0.669, | |
| "eval_steps_per_second": 0.086, | |
| "step": 1020 | |
| }, | |
| { | |
| "epoch": 9.72, | |
| "learning_rate": 2.1104761904761907e-05, | |
| "loss": 0.2462, | |
| "step": 1021 | |
| }, | |
| { | |
| "epoch": 9.73, | |
| "learning_rate": 2.1066666666666666e-05, | |
| "loss": 0.4183, | |
| "step": 1022 | |
| }, | |
| { | |
| "epoch": 9.74, | |
| "learning_rate": 2.1028571428571432e-05, | |
| "loss": 0.1339, | |
| "step": 1023 | |
| }, | |
| { | |
| "epoch": 9.75, | |
| "learning_rate": 2.099047619047619e-05, | |
| "loss": 0.2495, | |
| "step": 1024 | |
| }, | |
| { | |
| "epoch": 9.76, | |
| "learning_rate": 2.095238095238095e-05, | |
| "loss": 0.2613, | |
| "step": 1025 | |
| }, | |
| { | |
| "epoch": 9.77, | |
| "learning_rate": 2.0914285714285716e-05, | |
| "loss": 0.7477, | |
| "step": 1026 | |
| }, | |
| { | |
| "epoch": 9.78, | |
| "learning_rate": 2.0876190476190476e-05, | |
| "loss": 0.1256, | |
| "step": 1027 | |
| }, | |
| { | |
| "epoch": 9.79, | |
| "learning_rate": 2.0838095238095238e-05, | |
| "loss": 0.0832, | |
| "step": 1028 | |
| }, | |
| { | |
| "epoch": 9.8, | |
| "learning_rate": 2.08e-05, | |
| "loss": 0.1277, | |
| "step": 1029 | |
| }, | |
| { | |
| "epoch": 9.81, | |
| "learning_rate": 2.0761904761904763e-05, | |
| "loss": 0.0778, | |
| "step": 1030 | |
| }, | |
| { | |
| "epoch": 9.82, | |
| "learning_rate": 2.0723809523809526e-05, | |
| "loss": 0.1694, | |
| "step": 1031 | |
| }, | |
| { | |
| "epoch": 9.83, | |
| "learning_rate": 2.0685714285714285e-05, | |
| "loss": 0.2666, | |
| "step": 1032 | |
| }, | |
| { | |
| "epoch": 9.84, | |
| "learning_rate": 2.0647619047619048e-05, | |
| "loss": 0.7201, | |
| "step": 1033 | |
| }, | |
| { | |
| "epoch": 9.85, | |
| "learning_rate": 2.060952380952381e-05, | |
| "loss": 0.4296, | |
| "step": 1034 | |
| }, | |
| { | |
| "epoch": 9.86, | |
| "learning_rate": 2.0571428571428573e-05, | |
| "loss": 0.2622, | |
| "step": 1035 | |
| }, | |
| { | |
| "epoch": 9.87, | |
| "learning_rate": 2.0533333333333332e-05, | |
| "loss": 0.1906, | |
| "step": 1036 | |
| }, | |
| { | |
| "epoch": 9.88, | |
| "learning_rate": 2.0495238095238098e-05, | |
| "loss": 0.1375, | |
| "step": 1037 | |
| }, | |
| { | |
| "epoch": 9.89, | |
| "learning_rate": 2.0457142857142857e-05, | |
| "loss": 0.1232, | |
| "step": 1038 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "learning_rate": 2.041904761904762e-05, | |
| "loss": 0.3527, | |
| "step": 1039 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "learning_rate": 2.0380952380952382e-05, | |
| "loss": 0.3543, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 9.9, | |
| "eval_loss": 0.24814270436763763, | |
| "eval_mean_accuracy": 0.8964210319245208, | |
| "eval_mean_iou": 0.6101596549208509, | |
| "eval_overall_accuracy": 0.897452547975901, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.899152901586968, | |
| 0.8458530514753217, | |
| 0.9442571427112726 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7730907738826563, | |
| 0.790010220341791, | |
| 0.8775376254589562 | |
| ], | |
| "eval_runtime": 312.9923, | |
| "eval_samples_per_second": 0.668, | |
| "eval_steps_per_second": 0.086, | |
| "step": 1040 | |
| }, | |
| { | |
| "epoch": 9.91, | |
| "learning_rate": 2.0342857142857142e-05, | |
| "loss": 0.2467, | |
| "step": 1041 | |
| }, | |
| { | |
| "epoch": 9.92, | |
| "learning_rate": 2.0304761904761904e-05, | |
| "loss": 0.2102, | |
| "step": 1042 | |
| }, | |
| { | |
| "epoch": 9.93, | |
| "learning_rate": 2.0266666666666667e-05, | |
| "loss": 0.0879, | |
| "step": 1043 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "learning_rate": 2.022857142857143e-05, | |
| "loss": 0.1279, | |
| "step": 1044 | |
| }, | |
| { | |
| "epoch": 9.95, | |
| "learning_rate": 2.0190476190476192e-05, | |
| "loss": 0.1149, | |
| "step": 1045 | |
| }, | |
| { | |
| "epoch": 9.96, | |
| "learning_rate": 2.0152380952380955e-05, | |
| "loss": 0.1242, | |
| "step": 1046 | |
| }, | |
| { | |
| "epoch": 9.97, | |
| "learning_rate": 2.0114285714285714e-05, | |
| "loss": 0.1078, | |
| "step": 1047 | |
| }, | |
| { | |
| "epoch": 9.98, | |
| "learning_rate": 2.0076190476190476e-05, | |
| "loss": 0.4603, | |
| "step": 1048 | |
| }, | |
| { | |
| "epoch": 9.99, | |
| "learning_rate": 2.003809523809524e-05, | |
| "loss": 0.3393, | |
| "step": 1049 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 1.9999999999999998e-05, | |
| "loss": 0.2705, | |
| "step": 1050 | |
| }, | |
| { | |
| "epoch": 10.01, | |
| "learning_rate": 1.9961904761904764e-05, | |
| "loss": 0.1438, | |
| "step": 1051 | |
| }, | |
| { | |
| "epoch": 10.02, | |
| "learning_rate": 1.9923809523809523e-05, | |
| "loss": 0.1156, | |
| "step": 1052 | |
| }, | |
| { | |
| "epoch": 10.03, | |
| "learning_rate": 1.9885714285714286e-05, | |
| "loss": 0.0894, | |
| "step": 1053 | |
| }, | |
| { | |
| "epoch": 10.04, | |
| "learning_rate": 1.984761904761905e-05, | |
| "loss": 0.1528, | |
| "step": 1054 | |
| }, | |
| { | |
| "epoch": 10.05, | |
| "learning_rate": 1.980952380952381e-05, | |
| "loss": 0.1181, | |
| "step": 1055 | |
| }, | |
| { | |
| "epoch": 10.06, | |
| "learning_rate": 1.977142857142857e-05, | |
| "loss": 0.2844, | |
| "step": 1056 | |
| }, | |
| { | |
| "epoch": 10.07, | |
| "learning_rate": 1.9733333333333333e-05, | |
| "loss": 0.2449, | |
| "step": 1057 | |
| }, | |
| { | |
| "epoch": 10.08, | |
| "learning_rate": 1.9695238095238096e-05, | |
| "loss": 0.1446, | |
| "step": 1058 | |
| }, | |
| { | |
| "epoch": 10.09, | |
| "learning_rate": 1.9657142857142858e-05, | |
| "loss": 0.5027, | |
| "step": 1059 | |
| }, | |
| { | |
| "epoch": 10.1, | |
| "learning_rate": 1.961904761904762e-05, | |
| "loss": 0.594, | |
| "step": 1060 | |
| }, | |
| { | |
| "epoch": 10.1, | |
| "eval_loss": 0.22893720865249634, | |
| "eval_mean_accuracy": 0.8995042916771636, | |
| "eval_mean_iou": 0.626067542373044, | |
| "eval_overall_accuracy": 0.9107542690783702, | |
| "eval_per_category_accuracy": [ | |
| NaN, | |
| 0.8436682261465385, | |
| 0.927646107205903, | |
| 0.9271985416790495 | |
| ], | |
| "eval_per_category_iou": [ | |
| 0.0, | |
| 0.7944087112662803, | |
| 0.8246066155568244, | |
| 0.8852548426690713 | |
| ], | |
| "eval_runtime": 313.3912, | |
| "eval_samples_per_second": 0.667, | |
| "eval_steps_per_second": 0.086, | |
| "step": 1060 | |
| } | |
| ], | |
| "max_steps": 1575, | |
| "num_train_epochs": 15, | |
| "total_flos": 1.4778111080005632e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |