{ "best_metric": null, "best_model_checkpoint": null, "epoch": 20.0, "eval_steps": 500, "global_step": 8080, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.12, "learning_rate": 2.5e-05, "loss": 9.1111, "step": 50 }, { "epoch": 0.25, "learning_rate": 5e-05, "loss": 4.3213, "step": 100 }, { "epoch": 0.37, "learning_rate": 7.5e-05, "loss": 3.2869, "step": 150 }, { "epoch": 0.5, "learning_rate": 0.0001, "loss": 2.7342, "step": 200 }, { "epoch": 0.62, "learning_rate": 0.000125, "loss": 2.5924, "step": 250 }, { "epoch": 0.74, "learning_rate": 0.00015, "loss": 2.3303, "step": 300 }, { "epoch": 0.87, "learning_rate": 0.000175, "loss": 1.75, "step": 350 }, { "epoch": 0.99, "learning_rate": 0.0002, "loss": 1.352, "step": 400 }, { "epoch": 1.0, "eval_cer": 0.4478702548565318, "eval_loss": 0.9912864565849304, "eval_runtime": 37.3851, "eval_samples_per_second": 172.903, "eval_steps_per_second": 10.806, "eval_wer": 0.6020902919943971, "step": 404 }, { "epoch": 1.11, "learning_rate": 0.00022500000000000002, "loss": 1.2041, "step": 450 }, { "epoch": 1.24, "learning_rate": 0.00025, "loss": 1.0738, "step": 500 }, { "epoch": 1.36, "learning_rate": 0.000275, "loss": 1.0552, "step": 550 }, { "epoch": 1.49, "learning_rate": 0.0003, "loss": 0.9818, "step": 600 }, { "epoch": 1.61, "learning_rate": 0.00032500000000000004, "loss": 1.0827, "step": 650 }, { "epoch": 1.73, "learning_rate": 0.00035, "loss": 0.944, "step": 700 }, { "epoch": 1.86, "learning_rate": 0.000375, "loss": 0.9694, "step": 750 }, { "epoch": 1.98, "learning_rate": 0.0004, "loss": 0.9044, "step": 800 }, { "epoch": 2.0, "eval_cer": 0.2773916315174558, "eval_loss": 0.5053090453147888, "eval_runtime": 36.8215, "eval_samples_per_second": 175.55, "eval_steps_per_second": 10.972, "eval_wer": 0.42606759329095284, "step": 808 }, { "epoch": 2.1, "learning_rate": 0.000425, "loss": 0.9818, "step": 850 }, { "epoch": 2.23, "learning_rate": 0.00045000000000000004, "loss": 0.9531, "step": 900 }, { "epoch": 2.35, "learning_rate": 0.000475, "loss": 0.919, "step": 950 }, { "epoch": 2.48, "learning_rate": 0.0005, "loss": 0.9661, "step": 1000 }, { "epoch": 2.6, "learning_rate": 0.0004964689265536723, "loss": 0.993, "step": 1050 }, { "epoch": 2.72, "learning_rate": 0.0004929378531073446, "loss": 0.9892, "step": 1100 }, { "epoch": 2.85, "learning_rate": 0.0004894067796610169, "loss": 0.9471, "step": 1150 }, { "epoch": 2.97, "learning_rate": 0.0004858757062146893, "loss": 0.9001, "step": 1200 }, { "epoch": 3.0, "eval_cer": 0.32669953860472484, "eval_loss": 0.845825731754303, "eval_runtime": 36.8369, "eval_samples_per_second": 175.476, "eval_steps_per_second": 10.967, "eval_wer": 0.4847537980821032, "step": 1212 }, { "epoch": 3.09, "learning_rate": 0.0004823446327683616, "loss": 0.8903, "step": 1250 }, { "epoch": 3.22, "learning_rate": 0.0004788135593220339, "loss": 0.9181, "step": 1300 }, { "epoch": 3.34, "learning_rate": 0.0004752824858757062, "loss": 0.858, "step": 1350 }, { "epoch": 3.47, "learning_rate": 0.00047175141242937854, "loss": 0.917, "step": 1400 }, { "epoch": 3.59, "learning_rate": 0.0004682203389830508, "loss": 0.915, "step": 1450 }, { "epoch": 3.71, "learning_rate": 0.0004646892655367232, "loss": 0.8631, "step": 1500 }, { "epoch": 3.84, "learning_rate": 0.0004611581920903955, "loss": 0.8267, "step": 1550 }, { "epoch": 3.96, "learning_rate": 0.0004576271186440678, "loss": 0.8425, "step": 1600 }, { "epoch": 4.0, "eval_cer": 0.30525356937761144, "eval_loss": 0.5311021208763123, "eval_runtime": 36.7576, "eval_samples_per_second": 175.855, "eval_steps_per_second": 10.991, "eval_wer": 0.45774521423697156, "step": 1616 }, { "epoch": 4.08, "learning_rate": 0.0004540960451977401, "loss": 0.8399, "step": 1650 }, { "epoch": 4.21, "learning_rate": 0.00045056497175141244, "loss": 0.8166, "step": 1700 }, { "epoch": 4.33, "learning_rate": 0.0004470338983050847, "loss": 0.8089, "step": 1750 }, { "epoch": 4.46, "learning_rate": 0.0004435028248587571, "loss": 0.8094, "step": 1800 }, { "epoch": 4.58, "learning_rate": 0.0004399717514124294, "loss": 0.8622, "step": 1850 }, { "epoch": 4.7, "learning_rate": 0.00043644067796610173, "loss": 0.8161, "step": 1900 }, { "epoch": 4.83, "learning_rate": 0.000432909604519774, "loss": 0.8011, "step": 1950 }, { "epoch": 4.95, "learning_rate": 0.0004293785310734463, "loss": 0.8408, "step": 2000 }, { "epoch": 5.0, "eval_cer": 0.27762925998534627, "eval_loss": 0.43282997608184814, "eval_runtime": 36.8381, "eval_samples_per_second": 175.47, "eval_steps_per_second": 10.967, "eval_wer": 0.40753510756743166, "step": 2020 }, { "epoch": 5.07, "learning_rate": 0.00042584745762711863, "loss": 0.8286, "step": 2050 }, { "epoch": 5.2, "learning_rate": 0.00042231638418079097, "loss": 0.8636, "step": 2100 }, { "epoch": 5.32, "learning_rate": 0.0004187853107344633, "loss": 0.8357, "step": 2150 }, { "epoch": 5.45, "learning_rate": 0.0004152542372881356, "loss": 0.7934, "step": 2200 }, { "epoch": 5.57, "learning_rate": 0.0004117231638418079, "loss": 0.8625, "step": 2250 }, { "epoch": 5.69, "learning_rate": 0.0004081920903954802, "loss": 0.7641, "step": 2300 }, { "epoch": 5.82, "learning_rate": 0.00040466101694915254, "loss": 0.7718, "step": 2350 }, { "epoch": 5.94, "learning_rate": 0.0004011299435028249, "loss": 0.7759, "step": 2400 }, { "epoch": 6.0, "eval_cer": 0.3363432939266124, "eval_loss": 0.4735947549343109, "eval_runtime": 37.0464, "eval_samples_per_second": 174.484, "eval_steps_per_second": 10.905, "eval_wer": 0.4393563911934777, "step": 2424 }, { "epoch": 6.06, "learning_rate": 0.0003975988700564972, "loss": 0.7466, "step": 2450 }, { "epoch": 6.19, "learning_rate": 0.0003940677966101695, "loss": 0.8045, "step": 2500 }, { "epoch": 6.31, "learning_rate": 0.00039053672316384183, "loss": 0.7949, "step": 2550 }, { "epoch": 6.44, "learning_rate": 0.0003870056497175141, "loss": 0.7749, "step": 2600 }, { "epoch": 6.56, "learning_rate": 0.00038347457627118644, "loss": 0.7226, "step": 2650 }, { "epoch": 6.68, "learning_rate": 0.0003799435028248588, "loss": 0.7424, "step": 2700 }, { "epoch": 6.81, "learning_rate": 0.0003764124293785311, "loss": 0.7302, "step": 2750 }, { "epoch": 6.93, "learning_rate": 0.0003728813559322034, "loss": 0.7228, "step": 2800 }, { "epoch": 7.0, "eval_cer": 0.28624329194637516, "eval_loss": 0.466670960187912, "eval_runtime": 37.148, "eval_samples_per_second": 174.007, "eval_steps_per_second": 10.875, "eval_wer": 0.417268254139281, "step": 2828 }, { "epoch": 7.05, "learning_rate": 0.00036935028248587573, "loss": 0.7437, "step": 2850 }, { "epoch": 7.18, "learning_rate": 0.000365819209039548, "loss": 0.7815, "step": 2900 }, { "epoch": 7.3, "learning_rate": 0.0003622881355932203, "loss": 0.7218, "step": 2950 }, { "epoch": 7.43, "learning_rate": 0.0003587570621468927, "loss": 0.7347, "step": 3000 }, { "epoch": 7.55, "learning_rate": 0.00035522598870056497, "loss": 0.7033, "step": 3050 }, { "epoch": 7.67, "learning_rate": 0.0003516949152542373, "loss": 0.6966, "step": 3100 }, { "epoch": 7.8, "learning_rate": 0.0003481638418079096, "loss": 0.6914, "step": 3150 }, { "epoch": 7.92, "learning_rate": 0.0003446327683615819, "loss": 0.6755, "step": 3200 }, { "epoch": 8.0, "eval_cer": 0.26113388383928393, "eval_loss": 0.4190239906311035, "eval_runtime": 37.0113, "eval_samples_per_second": 174.649, "eval_steps_per_second": 10.916, "eval_wer": 0.4114499155981755, "step": 3232 }, { "epoch": 8.04, "learning_rate": 0.0003411016949152542, "loss": 0.7279, "step": 3250 }, { "epoch": 8.17, "learning_rate": 0.0003375706214689266, "loss": 0.6756, "step": 3300 }, { "epoch": 8.29, "learning_rate": 0.0003340395480225989, "loss": 0.6758, "step": 3350 }, { "epoch": 8.42, "learning_rate": 0.0003305084745762712, "loss": 0.7251, "step": 3400 }, { "epoch": 8.54, "learning_rate": 0.0003269774011299435, "loss": 0.6824, "step": 3450 }, { "epoch": 8.66, "learning_rate": 0.00032344632768361583, "loss": 0.7119, "step": 3500 }, { "epoch": 8.79, "learning_rate": 0.0003199152542372881, "loss": 0.7501, "step": 3550 }, { "epoch": 8.91, "learning_rate": 0.0003163841807909605, "loss": 0.634, "step": 3600 }, { "epoch": 9.0, "eval_cer": 0.26115368621160817, "eval_loss": 0.4252440333366394, "eval_runtime": 37.3698, "eval_samples_per_second": 172.974, "eval_steps_per_second": 10.811, "eval_wer": 0.39927450346586213, "step": 3636 }, { "epoch": 9.03, "learning_rate": 0.0003128531073446328, "loss": 0.6416, "step": 3650 }, { "epoch": 9.16, "learning_rate": 0.0003093220338983051, "loss": 0.6355, "step": 3700 }, { "epoch": 9.28, "learning_rate": 0.0003057909604519774, "loss": 0.6204, "step": 3750 }, { "epoch": 9.41, "learning_rate": 0.00030225988700564974, "loss": 0.6604, "step": 3800 }, { "epoch": 9.53, "learning_rate": 0.000298728813559322, "loss": 0.6411, "step": 3850 }, { "epoch": 9.65, "learning_rate": 0.0002951977401129944, "loss": 0.6156, "step": 3900 }, { "epoch": 9.78, "learning_rate": 0.0002916666666666667, "loss": 0.6293, "step": 3950 }, { "epoch": 9.9, "learning_rate": 0.00028813559322033897, "loss": 0.6267, "step": 4000 }, { "epoch": 10.0, "eval_cer": 0.23618289471078635, "eval_loss": 0.3275207579135895, "eval_runtime": 37.2788, "eval_samples_per_second": 173.396, "eval_steps_per_second": 10.837, "eval_wer": 0.37337930539094205, "step": 4040 }, { "epoch": 10.02, "learning_rate": 0.0002846045197740113, "loss": 0.6276, "step": 4050 }, { "epoch": 10.15, "learning_rate": 0.0002810734463276836, "loss": 0.6043, "step": 4100 }, { "epoch": 10.27, "learning_rate": 0.0002775423728813559, "loss": 0.6354, "step": 4150 }, { "epoch": 10.4, "learning_rate": 0.0002740112994350282, "loss": 0.6651, "step": 4200 }, { "epoch": 10.52, "learning_rate": 0.0002704802259887006, "loss": 0.6667, "step": 4250 }, { "epoch": 10.64, "learning_rate": 0.0002669491525423729, "loss": 0.6108, "step": 4300 }, { "epoch": 10.77, "learning_rate": 0.0002634180790960452, "loss": 0.6034, "step": 4350 }, { "epoch": 10.89, "learning_rate": 0.0002598870056497175, "loss": 0.6199, "step": 4400 }, { "epoch": 11.0, "eval_cer": 0.22224202459454642, "eval_loss": 0.2785743474960327, "eval_runtime": 37.3388, "eval_samples_per_second": 173.117, "eval_steps_per_second": 10.82, "eval_wer": 0.3543440002873254, "step": 4444 }, { "epoch": 11.01, "learning_rate": 0.00025635593220338983, "loss": 0.5854, "step": 4450 }, { "epoch": 11.14, "learning_rate": 0.0002528248587570621, "loss": 0.5605, "step": 4500 }, { "epoch": 11.26, "learning_rate": 0.00024929378531073445, "loss": 0.5665, "step": 4550 }, { "epoch": 11.39, "learning_rate": 0.0002457627118644068, "loss": 0.6504, "step": 4600 }, { "epoch": 11.51, "learning_rate": 0.0002422316384180791, "loss": 0.5566, "step": 4650 }, { "epoch": 11.63, "learning_rate": 0.0002387005649717514, "loss": 0.5574, "step": 4700 }, { "epoch": 11.76, "learning_rate": 0.00023516949152542374, "loss": 0.5524, "step": 4750 }, { "epoch": 11.88, "learning_rate": 0.00023163841807909605, "loss": 0.5396, "step": 4800 }, { "epoch": 12.0, "eval_cer": 0.2145587041327551, "eval_loss": 0.2851468026638031, "eval_runtime": 37.0849, "eval_samples_per_second": 174.303, "eval_steps_per_second": 10.894, "eval_wer": 0.3500700355565133, "step": 4848 }, { "epoch": 12.0, "learning_rate": 0.00022810734463276836, "loss": 0.5405, "step": 4850 }, { "epoch": 12.13, "learning_rate": 0.0002245762711864407, "loss": 0.5451, "step": 4900 }, { "epoch": 12.25, "learning_rate": 0.000221045197740113, "loss": 0.5538, "step": 4950 }, { "epoch": 12.38, "learning_rate": 0.0002175141242937853, "loss": 0.5403, "step": 5000 }, { "epoch": 12.5, "learning_rate": 0.00021398305084745765, "loss": 0.5506, "step": 5050 }, { "epoch": 12.62, "learning_rate": 0.00021045197740112996, "loss": 0.54, "step": 5100 }, { "epoch": 12.75, "learning_rate": 0.00020692090395480226, "loss": 0.4959, "step": 5150 }, { "epoch": 12.87, "learning_rate": 0.0002033898305084746, "loss": 0.5268, "step": 5200 }, { "epoch": 13.0, "learning_rate": 0.0001998587570621469, "loss": 0.5343, "step": 5250 }, { "epoch": 13.0, "eval_cer": 0.2105586249232658, "eval_loss": 0.25269845128059387, "eval_runtime": 37.2453, "eval_samples_per_second": 173.552, "eval_steps_per_second": 10.847, "eval_wer": 0.344826347735517, "step": 5252 }, { "epoch": 13.12, "learning_rate": 0.00019632768361581922, "loss": 0.4924, "step": 5300 }, { "epoch": 13.24, "learning_rate": 0.00019279661016949155, "loss": 0.5308, "step": 5350 }, { "epoch": 13.37, "learning_rate": 0.00018926553672316386, "loss": 0.5263, "step": 5400 }, { "epoch": 13.49, "learning_rate": 0.00018573446327683614, "loss": 0.498, "step": 5450 }, { "epoch": 13.61, "learning_rate": 0.00018220338983050845, "loss": 0.5096, "step": 5500 }, { "epoch": 13.74, "learning_rate": 0.0001786723163841808, "loss": 0.5077, "step": 5550 }, { "epoch": 13.86, "learning_rate": 0.0001751412429378531, "loss": 0.5295, "step": 5600 }, { "epoch": 13.99, "learning_rate": 0.0001716101694915254, "loss": 0.5488, "step": 5650 }, { "epoch": 14.0, "eval_cer": 0.20998435612586389, "eval_loss": 0.2725040316581726, "eval_runtime": 36.9929, "eval_samples_per_second": 174.736, "eval_steps_per_second": 10.921, "eval_wer": 0.3431383112451963, "step": 5656 }, { "epoch": 14.11, "learning_rate": 0.00016807909604519774, "loss": 0.4966, "step": 5700 }, { "epoch": 14.23, "learning_rate": 0.00016454802259887005, "loss": 0.5045, "step": 5750 }, { "epoch": 14.36, "learning_rate": 0.00016101694915254236, "loss": 0.4877, "step": 5800 }, { "epoch": 14.48, "learning_rate": 0.0001574858757062147, "loss": 0.4886, "step": 5850 }, { "epoch": 14.6, "learning_rate": 0.000153954802259887, "loss": 0.5026, "step": 5900 }, { "epoch": 14.73, "learning_rate": 0.00015042372881355931, "loss": 0.4759, "step": 5950 }, { "epoch": 14.85, "learning_rate": 0.00014689265536723165, "loss": 0.475, "step": 6000 }, { "epoch": 14.98, "learning_rate": 0.00014336158192090396, "loss": 0.4606, "step": 6050 }, { "epoch": 15.0, "eval_cer": 0.1962019049882176, "eval_loss": 0.22929197549819946, "eval_runtime": 37.0601, "eval_samples_per_second": 174.419, "eval_steps_per_second": 10.901, "eval_wer": 0.32589878964192076, "step": 6060 }, { "epoch": 15.1, "learning_rate": 0.00013983050847457627, "loss": 0.4564, "step": 6100 }, { "epoch": 15.22, "learning_rate": 0.0001362994350282486, "loss": 0.4658, "step": 6150 }, { "epoch": 15.35, "learning_rate": 0.0001327683615819209, "loss": 0.4465, "step": 6200 }, { "epoch": 15.47, "learning_rate": 0.00012923728813559322, "loss": 0.4867, "step": 6250 }, { "epoch": 15.59, "learning_rate": 0.00012570621468926556, "loss": 0.4349, "step": 6300 }, { "epoch": 15.72, "learning_rate": 0.00012217514124293787, "loss": 0.475, "step": 6350 }, { "epoch": 15.84, "learning_rate": 0.00011864406779661017, "loss": 0.4241, "step": 6400 }, { "epoch": 15.97, "learning_rate": 0.00011511299435028248, "loss": 0.4229, "step": 6450 }, { "epoch": 16.0, "eval_cer": 0.19142953325808432, "eval_loss": 0.20434732735157013, "eval_runtime": 36.9841, "eval_samples_per_second": 174.778, "eval_steps_per_second": 10.924, "eval_wer": 0.3172071975002694, "step": 6464 }, { "epoch": 16.09, "learning_rate": 0.0001115819209039548, "loss": 0.429, "step": 6500 }, { "epoch": 16.21, "learning_rate": 0.00010805084745762713, "loss": 0.409, "step": 6550 }, { "epoch": 16.34, "learning_rate": 0.00010451977401129944, "loss": 0.3961, "step": 6600 }, { "epoch": 16.46, "learning_rate": 0.00010098870056497176, "loss": 0.4047, "step": 6650 }, { "epoch": 16.58, "learning_rate": 9.745762711864407e-05, "loss": 0.4344, "step": 6700 }, { "epoch": 16.71, "learning_rate": 9.392655367231638e-05, "loss": 0.4268, "step": 6750 }, { "epoch": 16.83, "learning_rate": 9.03954802259887e-05, "loss": 0.3991, "step": 6800 }, { "epoch": 16.96, "learning_rate": 8.686440677966102e-05, "loss": 0.4078, "step": 6850 }, { "epoch": 17.0, "eval_cer": 0.18618190459217016, "eval_loss": 0.1891370713710785, "eval_runtime": 37.0446, "eval_samples_per_second": 174.492, "eval_steps_per_second": 10.906, "eval_wer": 0.3127536544194232, "step": 6868 }, { "epoch": 17.08, "learning_rate": 8.333333333333333e-05, "loss": 0.3941, "step": 6900 }, { "epoch": 17.2, "learning_rate": 7.980225988700565e-05, "loss": 0.382, "step": 6950 }, { "epoch": 17.33, "learning_rate": 7.627118644067798e-05, "loss": 0.3898, "step": 7000 }, { "epoch": 17.45, "learning_rate": 7.274011299435028e-05, "loss": 0.3941, "step": 7050 }, { "epoch": 17.57, "learning_rate": 6.92090395480226e-05, "loss": 0.3804, "step": 7100 }, { "epoch": 17.7, "learning_rate": 6.567796610169493e-05, "loss": 0.3924, "step": 7150 }, { "epoch": 17.82, "learning_rate": 6.214689265536724e-05, "loss": 0.3849, "step": 7200 }, { "epoch": 17.95, "learning_rate": 5.861581920903955e-05, "loss": 0.4017, "step": 7250 }, { "epoch": 18.0, "eval_cer": 0.1833105606051605, "eval_loss": 0.17852339148521423, "eval_runtime": 37.3017, "eval_samples_per_second": 173.29, "eval_steps_per_second": 10.831, "eval_wer": 0.3075458822684337, "step": 7272 }, { "epoch": 18.07, "learning_rate": 5.508474576271186e-05, "loss": 0.4008, "step": 7300 }, { "epoch": 18.19, "learning_rate": 5.155367231638418e-05, "loss": 0.3744, "step": 7350 }, { "epoch": 18.32, "learning_rate": 4.80225988700565e-05, "loss": 0.3699, "step": 7400 }, { "epoch": 18.44, "learning_rate": 4.4491525423728816e-05, "loss": 0.3922, "step": 7450 }, { "epoch": 18.56, "learning_rate": 4.096045197740113e-05, "loss": 0.3734, "step": 7500 }, { "epoch": 18.69, "learning_rate": 3.742937853107345e-05, "loss": 0.3822, "step": 7550 }, { "epoch": 18.81, "learning_rate": 3.389830508474576e-05, "loss": 0.3707, "step": 7600 }, { "epoch": 18.94, "learning_rate": 3.036723163841808e-05, "loss": 0.3618, "step": 7650 }, { "epoch": 19.0, "eval_cer": 0.18034020475652984, "eval_loss": 0.16725142300128937, "eval_runtime": 36.9107, "eval_samples_per_second": 175.125, "eval_steps_per_second": 10.945, "eval_wer": 0.3034514958876558, "step": 7676 }, { "epoch": 19.06, "learning_rate": 2.6836158192090393e-05, "loss": 0.3507, "step": 7700 }, { "epoch": 19.18, "learning_rate": 2.3305084745762712e-05, "loss": 0.3638, "step": 7750 }, { "epoch": 19.31, "learning_rate": 1.977401129943503e-05, "loss": 0.3819, "step": 7800 }, { "epoch": 19.43, "learning_rate": 1.6242937853107344e-05, "loss": 0.3713, "step": 7850 }, { "epoch": 19.55, "learning_rate": 1.2711864406779663e-05, "loss": 0.3702, "step": 7900 }, { "epoch": 19.68, "learning_rate": 9.180790960451978e-06, "loss": 0.3559, "step": 7950 }, { "epoch": 19.8, "learning_rate": 5.649717514124294e-06, "loss": 0.3567, "step": 8000 }, { "epoch": 19.93, "learning_rate": 2.11864406779661e-06, "loss": 0.3739, "step": 8050 }, { "epoch": 20.0, "eval_cer": 0.17857779361967563, "eval_loss": 0.16060513257980347, "eval_runtime": 37.2075, "eval_samples_per_second": 173.728, "eval_steps_per_second": 10.858, "eval_wer": 0.30036274826706894, "step": 8080 }, { "epoch": 20.0, "step": 8080, "total_flos": 4.3127988037094564e+18, "train_loss": 0.7708885439551703, "train_runtime": 17348.5062, "train_samples_per_second": 29.808, "train_steps_per_second": 0.466 } ], "logging_steps": 50, "max_steps": 8080, "num_train_epochs": 20, "save_steps": 500, "total_flos": 4.3127988037094564e+18, "trial_name": null, "trial_params": null }