| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "global_step": 2105, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.9824163913726807, | |
| "epoch": 0.0, | |
| "learning_rate": 1.99144893111639e-05, | |
| "loss": 1.8791, | |
| "step": 10, | |
| "task_loss": 0.6514205932617188 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.9337328672409058, | |
| "epoch": 0.01, | |
| "learning_rate": 1.9819477434679337e-05, | |
| "loss": 1.8084, | |
| "step": 20, | |
| "task_loss": 0.68878173828125 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.7075116634368896, | |
| "epoch": 0.01, | |
| "learning_rate": 1.9724465558194775e-05, | |
| "loss": 1.7447, | |
| "step": 30, | |
| "task_loss": 0.5935821533203125 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.5379259586334229, | |
| "epoch": 0.02, | |
| "learning_rate": 1.9629453681710216e-05, | |
| "loss": 1.4292, | |
| "step": 40, | |
| "task_loss": 0.5262355804443359 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7455981969833374, | |
| "epoch": 0.02, | |
| "learning_rate": 1.954394299287411e-05, | |
| "loss": 1.2067, | |
| "step": 50, | |
| "task_loss": 0.20388412475585938 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.1262179613113403, | |
| "epoch": 0.03, | |
| "learning_rate": 1.944893111638955e-05, | |
| "loss": 0.9282, | |
| "step": 60, | |
| "task_loss": 0.45258522033691406 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.2520625591278076, | |
| "epoch": 0.03, | |
| "learning_rate": 1.935391923990499e-05, | |
| "loss": 0.9656, | |
| "step": 70, | |
| "task_loss": 0.6228516101837158 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.8546397686004639, | |
| "epoch": 0.04, | |
| "learning_rate": 1.9268408551068884e-05, | |
| "loss": 0.9789, | |
| "step": 80, | |
| "task_loss": 0.31339454650878906 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.1221280097961426, | |
| "epoch": 0.04, | |
| "learning_rate": 1.9173396674584325e-05, | |
| "loss": 0.8387, | |
| "step": 90, | |
| "task_loss": 0.44170093536376953 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4717516005039215, | |
| "epoch": 0.05, | |
| "learning_rate": 1.9078384798099766e-05, | |
| "loss": 0.6816, | |
| "step": 100, | |
| "task_loss": 0.15700101852416992 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7137082815170288, | |
| "epoch": 0.05, | |
| "learning_rate": 1.8983372921615203e-05, | |
| "loss": 0.6424, | |
| "step": 110, | |
| "task_loss": 0.3361825942993164 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7122435569763184, | |
| "epoch": 0.06, | |
| "learning_rate": 1.8888361045130644e-05, | |
| "loss": 0.7162, | |
| "step": 120, | |
| "task_loss": 0.5846670866012573 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5021461248397827, | |
| "epoch": 0.06, | |
| "learning_rate": 1.8793349168646082e-05, | |
| "loss": 0.5908, | |
| "step": 130, | |
| "task_loss": 0.18646156787872314 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.33661046624183655, | |
| "epoch": 0.07, | |
| "learning_rate": 1.8698337292161523e-05, | |
| "loss": 0.8316, | |
| "step": 140, | |
| "task_loss": 0.11925870180130005 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4071422219276428, | |
| "epoch": 0.07, | |
| "learning_rate": 1.860332541567696e-05, | |
| "loss": 0.6662, | |
| "step": 150, | |
| "task_loss": 0.38656365871429443 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3433850407600403, | |
| "epoch": 0.08, | |
| "learning_rate": 1.8508313539192398e-05, | |
| "loss": 0.6492, | |
| "step": 160, | |
| "task_loss": 0.1292821764945984 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.853670597076416, | |
| "epoch": 0.08, | |
| "learning_rate": 1.8413301662707842e-05, | |
| "loss": 0.6022, | |
| "step": 170, | |
| "task_loss": 0.4025900363922119 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6042287945747375, | |
| "epoch": 0.09, | |
| "learning_rate": 1.831828978622328e-05, | |
| "loss": 0.7525, | |
| "step": 180, | |
| "task_loss": 0.23989427089691162 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.0951387882232666, | |
| "epoch": 0.09, | |
| "learning_rate": 1.8223277909738718e-05, | |
| "loss": 0.7468, | |
| "step": 190, | |
| "task_loss": 0.5307990908622742 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.27730026841163635, | |
| "epoch": 0.1, | |
| "learning_rate": 1.812826603325416e-05, | |
| "loss": 0.5985, | |
| "step": 200, | |
| "task_loss": 0.05895298719406128 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.9861497282981873, | |
| "epoch": 0.1, | |
| "learning_rate": 1.8033254156769596e-05, | |
| "loss": 0.6073, | |
| "step": 210, | |
| "task_loss": 0.5837754011154175 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.532859206199646, | |
| "epoch": 0.1, | |
| "learning_rate": 1.7938242280285037e-05, | |
| "loss": 0.5815, | |
| "step": 220, | |
| "task_loss": 0.2384859323501587 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7019934058189392, | |
| "epoch": 0.11, | |
| "learning_rate": 1.7843230403800475e-05, | |
| "loss": 0.778, | |
| "step": 230, | |
| "task_loss": 0.3135228157043457 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.9965037703514099, | |
| "epoch": 0.11, | |
| "learning_rate": 1.7748218527315916e-05, | |
| "loss": 0.6839, | |
| "step": 240, | |
| "task_loss": 0.4901553988456726 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5550552606582642, | |
| "epoch": 0.12, | |
| "learning_rate": 1.7653206650831357e-05, | |
| "loss": 0.4129, | |
| "step": 250, | |
| "task_loss": 0.2684090733528137 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.8761467889908257, | |
| "eval_loss": 0.44158032536506653, | |
| "eval_runtime": 21.9879, | |
| "eval_samples_per_second": 39.658, | |
| "eval_steps_per_second": 4.957, | |
| "step": 250 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5287630558013916, | |
| "epoch": 0.12, | |
| "learning_rate": 1.7558194774346795e-05, | |
| "loss": 0.5833, | |
| "step": 260, | |
| "task_loss": 0.2730463147163391 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.9515942335128784, | |
| "epoch": 0.13, | |
| "learning_rate": 1.7463182897862236e-05, | |
| "loss": 0.6329, | |
| "step": 270, | |
| "task_loss": 0.4847598969936371 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5145795345306396, | |
| "epoch": 0.13, | |
| "learning_rate": 1.7368171021377673e-05, | |
| "loss": 0.6194, | |
| "step": 280, | |
| "task_loss": 0.4189565181732178 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7319836020469666, | |
| "epoch": 0.14, | |
| "learning_rate": 1.727315914489311e-05, | |
| "loss": 0.4816, | |
| "step": 290, | |
| "task_loss": 0.3963426649570465 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4611780047416687, | |
| "epoch": 0.14, | |
| "learning_rate": 1.7178147268408552e-05, | |
| "loss": 0.5048, | |
| "step": 300, | |
| "task_loss": 0.19796603918075562 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5850609540939331, | |
| "epoch": 0.15, | |
| "learning_rate": 1.7083135391923993e-05, | |
| "loss": 0.5864, | |
| "step": 310, | |
| "task_loss": 0.2181399166584015 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4029274880886078, | |
| "epoch": 0.15, | |
| "learning_rate": 1.698812351543943e-05, | |
| "loss": 0.534, | |
| "step": 320, | |
| "task_loss": 0.1707906723022461 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5725364685058594, | |
| "epoch": 0.16, | |
| "learning_rate": 1.689311163895487e-05, | |
| "loss": 0.6037, | |
| "step": 330, | |
| "task_loss": 0.23323196172714233 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6093335747718811, | |
| "epoch": 0.16, | |
| "learning_rate": 1.679809976247031e-05, | |
| "loss": 0.7098, | |
| "step": 340, | |
| "task_loss": 0.4206717610359192 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.0119699239730835, | |
| "epoch": 0.17, | |
| "learning_rate": 1.670308788598575e-05, | |
| "loss": 0.4015, | |
| "step": 350, | |
| "task_loss": 0.6245448589324951 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6928797960281372, | |
| "epoch": 0.17, | |
| "learning_rate": 1.6608076009501188e-05, | |
| "loss": 0.6882, | |
| "step": 360, | |
| "task_loss": 0.32340091466903687 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2802911400794983, | |
| "epoch": 0.18, | |
| "learning_rate": 1.651306413301663e-05, | |
| "loss": 0.5088, | |
| "step": 370, | |
| "task_loss": 0.12505391240119934 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6381040811538696, | |
| "epoch": 0.18, | |
| "learning_rate": 1.641805225653207e-05, | |
| "loss": 0.5281, | |
| "step": 380, | |
| "task_loss": 0.25593793392181396 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 1.2553234100341797, | |
| "epoch": 0.19, | |
| "learning_rate": 1.6323040380047507e-05, | |
| "loss": 0.4673, | |
| "step": 390, | |
| "task_loss": 0.7861297130584717 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.32122546434402466, | |
| "epoch": 0.19, | |
| "learning_rate": 1.622802850356295e-05, | |
| "loss": 0.5358, | |
| "step": 400, | |
| "task_loss": 0.14392141997814178 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4124768078327179, | |
| "epoch": 0.19, | |
| "learning_rate": 1.6133016627078386e-05, | |
| "loss": 0.388, | |
| "step": 410, | |
| "task_loss": 0.18850776553153992 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5564821362495422, | |
| "epoch": 0.2, | |
| "learning_rate": 1.6038004750593824e-05, | |
| "loss": 0.4706, | |
| "step": 420, | |
| "task_loss": 0.35438424348831177 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.8114709854125977, | |
| "epoch": 0.2, | |
| "learning_rate": 1.5942992874109265e-05, | |
| "loss": 0.3992, | |
| "step": 430, | |
| "task_loss": 0.5884829163551331 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.9019944071769714, | |
| "epoch": 0.21, | |
| "learning_rate": 1.5847980997624702e-05, | |
| "loss": 0.5377, | |
| "step": 440, | |
| "task_loss": 0.4972737431526184 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4662189781665802, | |
| "epoch": 0.21, | |
| "learning_rate": 1.5752969121140143e-05, | |
| "loss": 0.4676, | |
| "step": 450, | |
| "task_loss": 0.22651702165603638 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7801036834716797, | |
| "epoch": 0.22, | |
| "learning_rate": 1.5657957244655584e-05, | |
| "loss": 0.5115, | |
| "step": 460, | |
| "task_loss": 0.3273088335990906 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.24446932971477509, | |
| "epoch": 0.22, | |
| "learning_rate": 1.5562945368171022e-05, | |
| "loss": 0.4323, | |
| "step": 470, | |
| "task_loss": 0.28846049308776855 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.31131500005722046, | |
| "epoch": 0.23, | |
| "learning_rate": 1.5467933491686463e-05, | |
| "loss": 0.4727, | |
| "step": 480, | |
| "task_loss": 0.06133585423231125 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2505212426185608, | |
| "epoch": 0.23, | |
| "learning_rate": 1.53729216152019e-05, | |
| "loss": 0.6103, | |
| "step": 490, | |
| "task_loss": 0.16016395390033722 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6978294849395752, | |
| "epoch": 0.24, | |
| "learning_rate": 1.527790973871734e-05, | |
| "loss": 0.412, | |
| "step": 500, | |
| "task_loss": 0.3384208679199219 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.8899082568807339, | |
| "eval_loss": 0.49690014123916626, | |
| "eval_runtime": 22.004, | |
| "eval_samples_per_second": 39.629, | |
| "eval_steps_per_second": 4.954, | |
| "step": 500 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5271720886230469, | |
| "epoch": 0.24, | |
| "learning_rate": 1.5182897862232779e-05, | |
| "loss": 0.3288, | |
| "step": 510, | |
| "task_loss": 0.3533409833908081 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.39492568373680115, | |
| "epoch": 0.25, | |
| "learning_rate": 1.508788598574822e-05, | |
| "loss": 0.3691, | |
| "step": 520, | |
| "task_loss": 0.17543694376945496 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5424761772155762, | |
| "epoch": 0.25, | |
| "learning_rate": 1.499287410926366e-05, | |
| "loss": 0.5957, | |
| "step": 530, | |
| "task_loss": 0.35330963134765625 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2259323000907898, | |
| "epoch": 0.26, | |
| "learning_rate": 1.4897862232779099e-05, | |
| "loss": 0.4177, | |
| "step": 540, | |
| "task_loss": 0.05318892002105713 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.912689208984375, | |
| "epoch": 0.26, | |
| "learning_rate": 1.4802850356294538e-05, | |
| "loss": 0.5001, | |
| "step": 550, | |
| "task_loss": 0.447698175907135 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7216652631759644, | |
| "epoch": 0.27, | |
| "learning_rate": 1.4707838479809977e-05, | |
| "loss": 0.5728, | |
| "step": 560, | |
| "task_loss": 0.5098874568939209 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2023361772298813, | |
| "epoch": 0.27, | |
| "learning_rate": 1.4612826603325417e-05, | |
| "loss": 0.3707, | |
| "step": 570, | |
| "task_loss": 0.22737565636634827 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.46668243408203125, | |
| "epoch": 0.28, | |
| "learning_rate": 1.4517814726840856e-05, | |
| "loss": 0.4068, | |
| "step": 580, | |
| "task_loss": 0.2710917294025421 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5557296276092529, | |
| "epoch": 0.28, | |
| "learning_rate": 1.4422802850356297e-05, | |
| "loss": 0.3836, | |
| "step": 590, | |
| "task_loss": 0.43243685364723206 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6273843050003052, | |
| "epoch": 0.29, | |
| "learning_rate": 1.4327790973871736e-05, | |
| "loss": 0.5479, | |
| "step": 600, | |
| "task_loss": 0.2661285400390625 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3024005889892578, | |
| "epoch": 0.29, | |
| "learning_rate": 1.4232779097387176e-05, | |
| "loss": 0.3326, | |
| "step": 610, | |
| "task_loss": 0.11362183094024658 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6180804967880249, | |
| "epoch": 0.29, | |
| "learning_rate": 1.4137767220902613e-05, | |
| "loss": 0.2927, | |
| "step": 620, | |
| "task_loss": 0.3157673478126526 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2821282148361206, | |
| "epoch": 0.3, | |
| "learning_rate": 1.4042755344418053e-05, | |
| "loss": 0.3051, | |
| "step": 630, | |
| "task_loss": 0.1337086707353592 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5159429907798767, | |
| "epoch": 0.3, | |
| "learning_rate": 1.3947743467933492e-05, | |
| "loss": 0.4209, | |
| "step": 640, | |
| "task_loss": 0.35967183113098145 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.8615990281105042, | |
| "epoch": 0.31, | |
| "learning_rate": 1.3852731591448931e-05, | |
| "loss": 0.4166, | |
| "step": 650, | |
| "task_loss": 0.6024147868156433 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.1939113736152649, | |
| "epoch": 0.31, | |
| "learning_rate": 1.3757719714964372e-05, | |
| "loss": 0.3193, | |
| "step": 660, | |
| "task_loss": 0.023959562182426453 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.31010207533836365, | |
| "epoch": 0.32, | |
| "learning_rate": 1.3662707838479811e-05, | |
| "loss": 0.3788, | |
| "step": 670, | |
| "task_loss": 0.17067261040210724 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6690168976783752, | |
| "epoch": 0.32, | |
| "learning_rate": 1.356769596199525e-05, | |
| "loss": 0.3763, | |
| "step": 680, | |
| "task_loss": 0.355002760887146 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.23823483288288116, | |
| "epoch": 0.33, | |
| "learning_rate": 1.347268408551069e-05, | |
| "loss": 0.4861, | |
| "step": 690, | |
| "task_loss": 0.0851842388510704 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.19940122961997986, | |
| "epoch": 0.33, | |
| "learning_rate": 1.337767220902613e-05, | |
| "loss": 0.3373, | |
| "step": 700, | |
| "task_loss": 0.1375439167022705 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.34697651863098145, | |
| "epoch": 0.34, | |
| "learning_rate": 1.3282660332541569e-05, | |
| "loss": 0.2368, | |
| "step": 710, | |
| "task_loss": 0.32895755767822266 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5809268951416016, | |
| "epoch": 0.34, | |
| "learning_rate": 1.3187648456057008e-05, | |
| "loss": 0.4335, | |
| "step": 720, | |
| "task_loss": 0.350343257188797 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4058021605014801, | |
| "epoch": 0.35, | |
| "learning_rate": 1.3092636579572449e-05, | |
| "loss": 0.3762, | |
| "step": 730, | |
| "task_loss": 0.4189315438270569 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5029650330543518, | |
| "epoch": 0.35, | |
| "learning_rate": 1.2997624703087888e-05, | |
| "loss": 0.3535, | |
| "step": 740, | |
| "task_loss": 0.352708101272583 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.15115290880203247, | |
| "epoch": 0.36, | |
| "learning_rate": 1.2902612826603326e-05, | |
| "loss": 0.3191, | |
| "step": 750, | |
| "task_loss": 0.05512949079275131 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "eval_accuracy": 0.9162844036697247, | |
| "eval_loss": 0.2716875970363617, | |
| "eval_runtime": 21.9554, | |
| "eval_samples_per_second": 39.717, | |
| "eval_steps_per_second": 4.965, | |
| "step": 750 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.42094355821609497, | |
| "epoch": 0.36, | |
| "learning_rate": 1.2807600950118765e-05, | |
| "loss": 0.3572, | |
| "step": 760, | |
| "task_loss": 0.22914057970046997 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.22227834165096283, | |
| "epoch": 0.37, | |
| "learning_rate": 1.2712589073634205e-05, | |
| "loss": 0.5129, | |
| "step": 770, | |
| "task_loss": 0.13911421597003937 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6405156254768372, | |
| "epoch": 0.37, | |
| "learning_rate": 1.2617577197149644e-05, | |
| "loss": 0.4576, | |
| "step": 780, | |
| "task_loss": 0.4629451036453247 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.432763010263443, | |
| "epoch": 0.38, | |
| "learning_rate": 1.2522565320665083e-05, | |
| "loss": 0.3085, | |
| "step": 790, | |
| "task_loss": 0.36907055974006653 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.30914443731307983, | |
| "epoch": 0.38, | |
| "learning_rate": 1.2427553444180524e-05, | |
| "loss": 0.4019, | |
| "step": 800, | |
| "task_loss": 0.21935078501701355 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5716268420219421, | |
| "epoch": 0.38, | |
| "learning_rate": 1.2332541567695964e-05, | |
| "loss": 0.3996, | |
| "step": 810, | |
| "task_loss": 0.4366046190261841 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.20762380957603455, | |
| "epoch": 0.39, | |
| "learning_rate": 1.2237529691211403e-05, | |
| "loss": 0.4031, | |
| "step": 820, | |
| "task_loss": 0.07009849697351456 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.48847681283950806, | |
| "epoch": 0.39, | |
| "learning_rate": 1.2142517814726842e-05, | |
| "loss": 0.4559, | |
| "step": 830, | |
| "task_loss": 0.20559999346733093 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.38028720021247864, | |
| "epoch": 0.4, | |
| "learning_rate": 1.2047505938242281e-05, | |
| "loss": 0.2783, | |
| "step": 840, | |
| "task_loss": 0.12343298643827438 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6831973791122437, | |
| "epoch": 0.4, | |
| "learning_rate": 1.195249406175772e-05, | |
| "loss": 0.4664, | |
| "step": 850, | |
| "task_loss": 0.6523771286010742 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.21925556659698486, | |
| "epoch": 0.41, | |
| "learning_rate": 1.1857482185273158e-05, | |
| "loss": 0.366, | |
| "step": 860, | |
| "task_loss": 0.15919412672519684 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.07446402311325073, | |
| "epoch": 0.41, | |
| "learning_rate": 1.1762470308788601e-05, | |
| "loss": 0.3713, | |
| "step": 870, | |
| "task_loss": 0.014185778796672821 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.31408172845840454, | |
| "epoch": 0.42, | |
| "learning_rate": 1.166745843230404e-05, | |
| "loss": 0.3861, | |
| "step": 880, | |
| "task_loss": 0.13161490857601166 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.14646156132221222, | |
| "epoch": 0.42, | |
| "learning_rate": 1.1572446555819478e-05, | |
| "loss": 0.2613, | |
| "step": 890, | |
| "task_loss": 0.07529384642839432 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.05397426709532738, | |
| "epoch": 0.43, | |
| "learning_rate": 1.1477434679334917e-05, | |
| "loss": 0.3604, | |
| "step": 900, | |
| "task_loss": 0.043072961270809174 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.12949523329734802, | |
| "epoch": 0.43, | |
| "learning_rate": 1.1382422802850357e-05, | |
| "loss": 0.2215, | |
| "step": 910, | |
| "task_loss": 0.029655031859874725 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5533275008201599, | |
| "epoch": 0.44, | |
| "learning_rate": 1.1287410926365796e-05, | |
| "loss": 0.3736, | |
| "step": 920, | |
| "task_loss": 0.3869485855102539 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.06997716426849365, | |
| "epoch": 0.44, | |
| "learning_rate": 1.1192399049881235e-05, | |
| "loss": 0.2925, | |
| "step": 930, | |
| "task_loss": 0.17637060582637787 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5217384099960327, | |
| "epoch": 0.45, | |
| "learning_rate": 1.1097387173396676e-05, | |
| "loss": 0.3657, | |
| "step": 940, | |
| "task_loss": 0.35078302025794983 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.20354126393795013, | |
| "epoch": 0.45, | |
| "learning_rate": 1.1002375296912116e-05, | |
| "loss": 0.2885, | |
| "step": 950, | |
| "task_loss": 0.33367669582366943 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6612205505371094, | |
| "epoch": 0.46, | |
| "learning_rate": 1.0907363420427555e-05, | |
| "loss": 0.4112, | |
| "step": 960, | |
| "task_loss": 0.38991737365722656 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5148907899856567, | |
| "epoch": 0.46, | |
| "learning_rate": 1.0812351543942994e-05, | |
| "loss": 0.3226, | |
| "step": 970, | |
| "task_loss": 0.2609829604625702 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6710062026977539, | |
| "epoch": 0.47, | |
| "learning_rate": 1.0717339667458434e-05, | |
| "loss": 0.2813, | |
| "step": 980, | |
| "task_loss": 0.34536463022232056 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.35892608761787415, | |
| "epoch": 0.47, | |
| "learning_rate": 1.0622327790973871e-05, | |
| "loss": 0.3694, | |
| "step": 990, | |
| "task_loss": 0.190689355134964 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.1477653980255127, | |
| "epoch": 0.48, | |
| "learning_rate": 1.052731591448931e-05, | |
| "loss": 0.2688, | |
| "step": 1000, | |
| "task_loss": 0.04818693548440933 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_accuracy": 0.911697247706422, | |
| "eval_loss": 0.24315589666366577, | |
| "eval_runtime": 22.0177, | |
| "eval_samples_per_second": 39.604, | |
| "eval_steps_per_second": 4.951, | |
| "step": 1000 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.47181323170661926, | |
| "epoch": 0.48, | |
| "learning_rate": 1.0432304038004753e-05, | |
| "loss": 0.2546, | |
| "step": 1010, | |
| "task_loss": 0.2418743222951889 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.21640026569366455, | |
| "epoch": 0.48, | |
| "learning_rate": 1.033729216152019e-05, | |
| "loss": 0.3818, | |
| "step": 1020, | |
| "task_loss": 0.14040601253509521 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.27131223678588867, | |
| "epoch": 0.49, | |
| "learning_rate": 1.024228028503563e-05, | |
| "loss": 0.253, | |
| "step": 1030, | |
| "task_loss": 0.1497097909450531 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7797483801841736, | |
| "epoch": 0.49, | |
| "learning_rate": 1.014726840855107e-05, | |
| "loss": 0.4507, | |
| "step": 1040, | |
| "task_loss": 0.46980684995651245 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.11180303990840912, | |
| "epoch": 0.5, | |
| "learning_rate": 1.0052256532066509e-05, | |
| "loss": 0.2814, | |
| "step": 1050, | |
| "task_loss": 0.4403308629989624 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.18791627883911133, | |
| "epoch": 0.5, | |
| "learning_rate": 9.95724465558195e-06, | |
| "loss": 0.387, | |
| "step": 1060, | |
| "task_loss": 0.06846746802330017 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.16468051075935364, | |
| "epoch": 0.51, | |
| "learning_rate": 9.862232779097387e-06, | |
| "loss": 0.3529, | |
| "step": 1070, | |
| "task_loss": 0.18533943593502045 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.42276692390441895, | |
| "epoch": 0.51, | |
| "learning_rate": 9.767220902612827e-06, | |
| "loss": 0.2331, | |
| "step": 1080, | |
| "task_loss": 0.23515379428863525 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.31465187668800354, | |
| "epoch": 0.52, | |
| "learning_rate": 9.672209026128266e-06, | |
| "loss": 0.2775, | |
| "step": 1090, | |
| "task_loss": 0.2029043436050415 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7025846838951111, | |
| "epoch": 0.52, | |
| "learning_rate": 9.577197149643707e-06, | |
| "loss": 0.3614, | |
| "step": 1100, | |
| "task_loss": 0.43116331100463867 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.43838998675346375, | |
| "epoch": 0.53, | |
| "learning_rate": 9.482185273159146e-06, | |
| "loss": 0.2565, | |
| "step": 1110, | |
| "task_loss": 0.24070000648498535 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.526702880859375, | |
| "epoch": 0.53, | |
| "learning_rate": 9.387173396674586e-06, | |
| "loss": 0.3354, | |
| "step": 1120, | |
| "task_loss": 0.28051871061325073 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.471240758895874, | |
| "epoch": 0.54, | |
| "learning_rate": 9.292161520190025e-06, | |
| "loss": 0.3342, | |
| "step": 1130, | |
| "task_loss": 0.2174275815486908 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.13051442801952362, | |
| "epoch": 0.54, | |
| "learning_rate": 9.197149643705464e-06, | |
| "loss": 0.2616, | |
| "step": 1140, | |
| "task_loss": 0.08567549288272858 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5350298881530762, | |
| "epoch": 0.55, | |
| "learning_rate": 9.102137767220904e-06, | |
| "loss": 0.3387, | |
| "step": 1150, | |
| "task_loss": 0.3132125437259674 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.32484662532806396, | |
| "epoch": 0.55, | |
| "learning_rate": 9.007125890736343e-06, | |
| "loss": 0.1753, | |
| "step": 1160, | |
| "task_loss": 0.18460990488529205 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3009415864944458, | |
| "epoch": 0.56, | |
| "learning_rate": 8.912114014251782e-06, | |
| "loss": 0.3577, | |
| "step": 1170, | |
| "task_loss": 0.22530747950077057 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4420413672924042, | |
| "epoch": 0.56, | |
| "learning_rate": 8.817102137767222e-06, | |
| "loss": 0.3324, | |
| "step": 1180, | |
| "task_loss": 0.4033554196357727 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.06501191854476929, | |
| "epoch": 0.57, | |
| "learning_rate": 8.722090261282661e-06, | |
| "loss": 0.3307, | |
| "step": 1190, | |
| "task_loss": 0.012013241648674011 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2965516448020935, | |
| "epoch": 0.57, | |
| "learning_rate": 8.6270783847981e-06, | |
| "loss": 0.3437, | |
| "step": 1200, | |
| "task_loss": 0.13238894939422607 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.36214399337768555, | |
| "epoch": 0.57, | |
| "learning_rate": 8.53206650831354e-06, | |
| "loss": 0.3629, | |
| "step": 1210, | |
| "task_loss": 0.26368093490600586 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3077784478664398, | |
| "epoch": 0.58, | |
| "learning_rate": 8.437054631828979e-06, | |
| "loss": 0.3036, | |
| "step": 1220, | |
| "task_loss": 0.0927947610616684 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.20123688876628876, | |
| "epoch": 0.58, | |
| "learning_rate": 8.342042755344418e-06, | |
| "loss": 0.2894, | |
| "step": 1230, | |
| "task_loss": 0.010961085557937622 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5563689470291138, | |
| "epoch": 0.59, | |
| "learning_rate": 8.247030878859859e-06, | |
| "loss": 0.3299, | |
| "step": 1240, | |
| "task_loss": 0.3913767337799072 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.471743643283844, | |
| "epoch": 0.59, | |
| "learning_rate": 8.152019002375298e-06, | |
| "loss": 0.3306, | |
| "step": 1250, | |
| "task_loss": 0.19782987236976624 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "eval_accuracy": 0.9243119266055045, | |
| "eval_loss": 0.20327819883823395, | |
| "eval_runtime": 22.009, | |
| "eval_samples_per_second": 39.62, | |
| "eval_steps_per_second": 4.953, | |
| "step": 1250 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.01976114884018898, | |
| "epoch": 0.6, | |
| "learning_rate": 8.057007125890736e-06, | |
| "loss": 0.2307, | |
| "step": 1260, | |
| "task_loss": 0.006360933184623718 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2867504358291626, | |
| "epoch": 0.6, | |
| "learning_rate": 7.961995249406177e-06, | |
| "loss": 0.4469, | |
| "step": 1270, | |
| "task_loss": 0.1376619189977646 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3130514919757843, | |
| "epoch": 0.61, | |
| "learning_rate": 7.866983372921616e-06, | |
| "loss": 0.2792, | |
| "step": 1280, | |
| "task_loss": 0.30938223004341125 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.21932274103164673, | |
| "epoch": 0.61, | |
| "learning_rate": 7.771971496437056e-06, | |
| "loss": 0.2458, | |
| "step": 1290, | |
| "task_loss": 0.07220742851495743 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2027844786643982, | |
| "epoch": 0.62, | |
| "learning_rate": 7.676959619952495e-06, | |
| "loss": 0.2947, | |
| "step": 1300, | |
| "task_loss": 0.1091059073805809 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.4004560708999634, | |
| "epoch": 0.62, | |
| "learning_rate": 7.581947743467934e-06, | |
| "loss": 0.437, | |
| "step": 1310, | |
| "task_loss": 0.13185200095176697 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.11762793362140656, | |
| "epoch": 0.63, | |
| "learning_rate": 7.486935866983374e-06, | |
| "loss": 0.2396, | |
| "step": 1320, | |
| "task_loss": 0.035176947712898254 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.38001149892807007, | |
| "epoch": 0.63, | |
| "learning_rate": 7.391923990498813e-06, | |
| "loss": 0.225, | |
| "step": 1330, | |
| "task_loss": 0.49264460802078247 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.16133537888526917, | |
| "epoch": 0.64, | |
| "learning_rate": 7.296912114014253e-06, | |
| "loss": 0.2908, | |
| "step": 1340, | |
| "task_loss": 0.05434826388955116 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5223551988601685, | |
| "epoch": 0.64, | |
| "learning_rate": 7.201900237529692e-06, | |
| "loss": 0.2895, | |
| "step": 1350, | |
| "task_loss": 0.27843406796455383 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.09743548929691315, | |
| "epoch": 0.65, | |
| "learning_rate": 7.106888361045131e-06, | |
| "loss": 0.2579, | |
| "step": 1360, | |
| "task_loss": 0.014732744544744492 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.06801208853721619, | |
| "epoch": 0.65, | |
| "learning_rate": 7.01187648456057e-06, | |
| "loss": 0.2038, | |
| "step": 1370, | |
| "task_loss": 0.01958051323890686 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.49920564889907837, | |
| "epoch": 0.66, | |
| "learning_rate": 6.91686460807601e-06, | |
| "loss": 0.3022, | |
| "step": 1380, | |
| "task_loss": 0.27152562141418457 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.07850401848554611, | |
| "epoch": 0.66, | |
| "learning_rate": 6.82185273159145e-06, | |
| "loss": 0.1903, | |
| "step": 1390, | |
| "task_loss": 0.19040407240390778 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.05175900086760521, | |
| "epoch": 0.67, | |
| "learning_rate": 6.726840855106889e-06, | |
| "loss": 0.1951, | |
| "step": 1400, | |
| "task_loss": 0.0510752871632576 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.11907292902469635, | |
| "epoch": 0.67, | |
| "learning_rate": 6.631828978622329e-06, | |
| "loss": 0.1969, | |
| "step": 1410, | |
| "task_loss": 0.10641947388648987 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3327619433403015, | |
| "epoch": 0.67, | |
| "learning_rate": 6.536817102137768e-06, | |
| "loss": 0.2099, | |
| "step": 1420, | |
| "task_loss": 0.3468553125858307 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2979893088340759, | |
| "epoch": 0.68, | |
| "learning_rate": 6.441805225653207e-06, | |
| "loss": 0.3192, | |
| "step": 1430, | |
| "task_loss": 0.26997804641723633 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.03590167686343193, | |
| "epoch": 0.68, | |
| "learning_rate": 6.346793349168646e-06, | |
| "loss": 0.179, | |
| "step": 1440, | |
| "task_loss": 0.00364762544631958 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.16363513469696045, | |
| "epoch": 0.69, | |
| "learning_rate": 6.251781472684086e-06, | |
| "loss": 0.3228, | |
| "step": 1450, | |
| "task_loss": 0.20806732773780823 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.28741005063056946, | |
| "epoch": 0.69, | |
| "learning_rate": 6.156769596199526e-06, | |
| "loss": 0.2762, | |
| "step": 1460, | |
| "task_loss": 0.12442530691623688 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.49749070405960083, | |
| "epoch": 0.7, | |
| "learning_rate": 6.061757719714965e-06, | |
| "loss": 0.3035, | |
| "step": 1470, | |
| "task_loss": 0.22260920703411102 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5554820895195007, | |
| "epoch": 0.7, | |
| "learning_rate": 5.9667458432304035e-06, | |
| "loss": 0.3454, | |
| "step": 1480, | |
| "task_loss": 0.2797449231147766 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.13691575825214386, | |
| "epoch": 0.71, | |
| "learning_rate": 5.871733966745844e-06, | |
| "loss": 0.2283, | |
| "step": 1490, | |
| "task_loss": 0.18624231219291687 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.80184406042099, | |
| "epoch": 0.71, | |
| "learning_rate": 5.776722090261283e-06, | |
| "loss": 0.224, | |
| "step": 1500, | |
| "task_loss": 0.4933280646800995 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "eval_accuracy": 0.9243119266055045, | |
| "eval_loss": 0.2382841557264328, | |
| "eval_runtime": 22.0278, | |
| "eval_samples_per_second": 39.586, | |
| "eval_steps_per_second": 4.948, | |
| "step": 1500 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.07949607074260712, | |
| "epoch": 0.72, | |
| "learning_rate": 5.681710213776722e-06, | |
| "loss": 0.2137, | |
| "step": 1510, | |
| "task_loss": 0.043377894908189774 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.42658352851867676, | |
| "epoch": 0.72, | |
| "learning_rate": 5.5866983372921624e-06, | |
| "loss": 0.2807, | |
| "step": 1520, | |
| "task_loss": 0.24954530596733093 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.244135782122612, | |
| "epoch": 0.73, | |
| "learning_rate": 5.491686460807602e-06, | |
| "loss": 0.3032, | |
| "step": 1530, | |
| "task_loss": 0.5667487382888794 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.12168382853269577, | |
| "epoch": 0.73, | |
| "learning_rate": 5.39667458432304e-06, | |
| "loss": 0.2224, | |
| "step": 1540, | |
| "task_loss": 0.051823940128088 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5252543091773987, | |
| "epoch": 0.74, | |
| "learning_rate": 5.3016627078384795e-06, | |
| "loss": 0.3264, | |
| "step": 1550, | |
| "task_loss": 0.5932276248931885 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.10500893741846085, | |
| "epoch": 0.74, | |
| "learning_rate": 5.20665083135392e-06, | |
| "loss": 0.2, | |
| "step": 1560, | |
| "task_loss": 0.06464926898479462 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.46214228868484497, | |
| "epoch": 0.75, | |
| "learning_rate": 5.111638954869359e-06, | |
| "loss": 0.3135, | |
| "step": 1570, | |
| "task_loss": 0.27241963148117065 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.41102948784828186, | |
| "epoch": 0.75, | |
| "learning_rate": 5.016627078384798e-06, | |
| "loss": 0.2825, | |
| "step": 1580, | |
| "task_loss": 0.25513461232185364 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.0665275901556015, | |
| "epoch": 0.76, | |
| "learning_rate": 4.921615201900238e-06, | |
| "loss": 0.3124, | |
| "step": 1590, | |
| "task_loss": 0.01647743582725525 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.20230551064014435, | |
| "epoch": 0.76, | |
| "learning_rate": 4.826603325415678e-06, | |
| "loss": 0.2472, | |
| "step": 1600, | |
| "task_loss": 0.6591448783874512 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.1525014340877533, | |
| "epoch": 0.76, | |
| "learning_rate": 4.731591448931116e-06, | |
| "loss": 0.1319, | |
| "step": 1610, | |
| "task_loss": 0.06440484523773193 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.38346511125564575, | |
| "epoch": 0.77, | |
| "learning_rate": 4.636579572446556e-06, | |
| "loss": 0.2337, | |
| "step": 1620, | |
| "task_loss": 0.27461180090904236 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.26302579045295715, | |
| "epoch": 0.77, | |
| "learning_rate": 4.541567695961996e-06, | |
| "loss": 0.2821, | |
| "step": 1630, | |
| "task_loss": 0.1236814334988594 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.624555230140686, | |
| "epoch": 0.78, | |
| "learning_rate": 4.446555819477435e-06, | |
| "loss": 0.3081, | |
| "step": 1640, | |
| "task_loss": 0.3441321849822998 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.04459763318300247, | |
| "epoch": 0.78, | |
| "learning_rate": 4.351543942992874e-06, | |
| "loss": 0.1871, | |
| "step": 1650, | |
| "task_loss": 0.009879574179649353 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.47281283140182495, | |
| "epoch": 0.79, | |
| "learning_rate": 4.256532066508314e-06, | |
| "loss": 0.3221, | |
| "step": 1660, | |
| "task_loss": 0.3637796640396118 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2519533634185791, | |
| "epoch": 0.79, | |
| "learning_rate": 4.161520190023753e-06, | |
| "loss": 0.2995, | |
| "step": 1670, | |
| "task_loss": 0.24460454285144806 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3187342584133148, | |
| "epoch": 0.8, | |
| "learning_rate": 4.066508313539192e-06, | |
| "loss": 0.3526, | |
| "step": 1680, | |
| "task_loss": 0.25094783306121826 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3183995485305786, | |
| "epoch": 0.8, | |
| "learning_rate": 3.9714964370546325e-06, | |
| "loss": 0.2348, | |
| "step": 1690, | |
| "task_loss": 0.16011971235275269 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5012897849082947, | |
| "epoch": 0.81, | |
| "learning_rate": 3.876484560570072e-06, | |
| "loss": 0.2874, | |
| "step": 1700, | |
| "task_loss": 0.30354738235473633 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.09144863486289978, | |
| "epoch": 0.81, | |
| "learning_rate": 3.781472684085511e-06, | |
| "loss": 0.2732, | |
| "step": 1710, | |
| "task_loss": 0.11224113404750824 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.39011454582214355, | |
| "epoch": 0.82, | |
| "learning_rate": 3.6864608076009504e-06, | |
| "loss": 0.205, | |
| "step": 1720, | |
| "task_loss": 0.3499948978424072 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.0968744307756424, | |
| "epoch": 0.82, | |
| "learning_rate": 3.5914489311163897e-06, | |
| "loss": 0.2088, | |
| "step": 1730, | |
| "task_loss": 0.03987715393304825 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.49030616879463196, | |
| "epoch": 0.83, | |
| "learning_rate": 3.4964370546318295e-06, | |
| "loss": 0.3065, | |
| "step": 1740, | |
| "task_loss": 0.33337563276290894 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3354378938674927, | |
| "epoch": 0.83, | |
| "learning_rate": 3.4014251781472683e-06, | |
| "loss": 0.2082, | |
| "step": 1750, | |
| "task_loss": 0.2503882646560669 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "eval_accuracy": 0.9254587155963303, | |
| "eval_loss": 0.22330859303474426, | |
| "eval_runtime": 21.9928, | |
| "eval_samples_per_second": 39.649, | |
| "eval_steps_per_second": 4.956, | |
| "step": 1750 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.07079672068357468, | |
| "epoch": 0.84, | |
| "learning_rate": 3.306413301662708e-06, | |
| "loss": 0.3192, | |
| "step": 1760, | |
| "task_loss": 0.006712011992931366 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.12471574544906616, | |
| "epoch": 0.84, | |
| "learning_rate": 3.211401425178148e-06, | |
| "loss": 0.1666, | |
| "step": 1770, | |
| "task_loss": 0.047819193452596664 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.11018840968608856, | |
| "epoch": 0.85, | |
| "learning_rate": 3.1163895486935867e-06, | |
| "loss": 0.2473, | |
| "step": 1780, | |
| "task_loss": 0.029587876051664352 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.27604231238365173, | |
| "epoch": 0.85, | |
| "learning_rate": 3.0213776722090264e-06, | |
| "loss": 0.299, | |
| "step": 1790, | |
| "task_loss": 0.12574651837348938 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.19024261832237244, | |
| "epoch": 0.86, | |
| "learning_rate": 2.9263657957244658e-06, | |
| "loss": 0.2579, | |
| "step": 1800, | |
| "task_loss": 0.11378154903650284 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.24252384901046753, | |
| "epoch": 0.86, | |
| "learning_rate": 2.8313539192399055e-06, | |
| "loss": 0.2374, | |
| "step": 1810, | |
| "task_loss": 0.08886312693357468 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.40556859970092773, | |
| "epoch": 0.86, | |
| "learning_rate": 2.7363420427553444e-06, | |
| "loss": 0.2556, | |
| "step": 1820, | |
| "task_loss": 0.16999585926532745 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.6070685386657715, | |
| "epoch": 0.87, | |
| "learning_rate": 2.641330166270784e-06, | |
| "loss": 0.3513, | |
| "step": 1830, | |
| "task_loss": 0.21770261228084564 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.11093200743198395, | |
| "epoch": 0.87, | |
| "learning_rate": 2.546318289786224e-06, | |
| "loss": 0.2251, | |
| "step": 1840, | |
| "task_loss": 0.07486331462860107 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.15582458674907684, | |
| "epoch": 0.88, | |
| "learning_rate": 2.4513064133016627e-06, | |
| "loss": 0.3013, | |
| "step": 1850, | |
| "task_loss": 0.2854090631008148 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5564573407173157, | |
| "epoch": 0.88, | |
| "learning_rate": 2.356294536817102e-06, | |
| "loss": 0.3546, | |
| "step": 1860, | |
| "task_loss": 0.2976299524307251 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.35662102699279785, | |
| "epoch": 0.89, | |
| "learning_rate": 2.261282660332542e-06, | |
| "loss": 0.1928, | |
| "step": 1870, | |
| "task_loss": 0.17799919843673706 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.07805321365594864, | |
| "epoch": 0.89, | |
| "learning_rate": 2.166270783847981e-06, | |
| "loss": 0.273, | |
| "step": 1880, | |
| "task_loss": 0.032489631325006485 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.0970858484506607, | |
| "epoch": 0.9, | |
| "learning_rate": 2.071258907363421e-06, | |
| "loss": 0.2183, | |
| "step": 1890, | |
| "task_loss": 0.011649325489997864 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.06496274471282959, | |
| "epoch": 0.9, | |
| "learning_rate": 1.97624703087886e-06, | |
| "loss": 0.3183, | |
| "step": 1900, | |
| "task_loss": 0.09150334447622299 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.15299738943576813, | |
| "epoch": 0.91, | |
| "learning_rate": 1.8812351543942995e-06, | |
| "loss": 0.2088, | |
| "step": 1910, | |
| "task_loss": 0.06896167993545532 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3061752915382385, | |
| "epoch": 0.91, | |
| "learning_rate": 1.7862232779097388e-06, | |
| "loss": 0.1873, | |
| "step": 1920, | |
| "task_loss": 0.14114254713058472 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.04780574142932892, | |
| "epoch": 0.92, | |
| "learning_rate": 1.691211401425178e-06, | |
| "loss": 0.1784, | |
| "step": 1930, | |
| "task_loss": 0.009304128587245941 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.08279172331094742, | |
| "epoch": 0.92, | |
| "learning_rate": 1.5961995249406176e-06, | |
| "loss": 0.2511, | |
| "step": 1940, | |
| "task_loss": 0.017669253051280975 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.033537302166223526, | |
| "epoch": 0.93, | |
| "learning_rate": 1.5011876484560572e-06, | |
| "loss": 0.2502, | |
| "step": 1950, | |
| "task_loss": 0.04457058385014534 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.1866932362318039, | |
| "epoch": 0.93, | |
| "learning_rate": 1.4061757719714967e-06, | |
| "loss": 0.251, | |
| "step": 1960, | |
| "task_loss": 0.1178937703371048 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.3302549719810486, | |
| "epoch": 0.94, | |
| "learning_rate": 1.311163895486936e-06, | |
| "loss": 0.1995, | |
| "step": 1970, | |
| "task_loss": 0.2511519193649292 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2090863585472107, | |
| "epoch": 0.94, | |
| "learning_rate": 1.2161520190023753e-06, | |
| "loss": 0.2799, | |
| "step": 1980, | |
| "task_loss": 0.14533783495426178 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.064464271068573, | |
| "epoch": 0.95, | |
| "learning_rate": 1.1211401425178148e-06, | |
| "loss": 0.3001, | |
| "step": 1990, | |
| "task_loss": 0.11410848796367645 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.5515795946121216, | |
| "epoch": 0.95, | |
| "learning_rate": 1.0261282660332544e-06, | |
| "loss": 0.2161, | |
| "step": 2000, | |
| "task_loss": 0.21116505563259125 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "eval_accuracy": 0.9254587155963303, | |
| "eval_loss": 0.22065171599388123, | |
| "eval_runtime": 21.9957, | |
| "eval_samples_per_second": 39.644, | |
| "eval_steps_per_second": 4.956, | |
| "step": 2000 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.33025607466697693, | |
| "epoch": 0.95, | |
| "learning_rate": 9.311163895486937e-07, | |
| "loss": 0.1835, | |
| "step": 2010, | |
| "task_loss": 0.4712632894515991 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.30521997809410095, | |
| "epoch": 0.96, | |
| "learning_rate": 8.361045130641331e-07, | |
| "loss": 0.2597, | |
| "step": 2020, | |
| "task_loss": 0.2004762589931488 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.10356535017490387, | |
| "epoch": 0.96, | |
| "learning_rate": 7.410926365795724e-07, | |
| "loss": 0.2461, | |
| "step": 2030, | |
| "task_loss": 0.07815247774124146 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.07229259610176086, | |
| "epoch": 0.97, | |
| "learning_rate": 6.460807600950119e-07, | |
| "loss": 0.1703, | |
| "step": 2040, | |
| "task_loss": 0.188236802816391 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.8154426217079163, | |
| "epoch": 0.97, | |
| "learning_rate": 5.510688836104513e-07, | |
| "loss": 0.2093, | |
| "step": 2050, | |
| "task_loss": 0.6037241220474243 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.26825618743896484, | |
| "epoch": 0.98, | |
| "learning_rate": 4.560570071258908e-07, | |
| "loss": 0.2883, | |
| "step": 2060, | |
| "task_loss": 0.31348007917404175 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.7826902270317078, | |
| "epoch": 0.98, | |
| "learning_rate": 3.610451306413302e-07, | |
| "loss": 0.3093, | |
| "step": 2070, | |
| "task_loss": 0.6269980669021606 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.39573800563812256, | |
| "epoch": 0.99, | |
| "learning_rate": 2.660332541567696e-07, | |
| "loss": 0.3111, | |
| "step": 2080, | |
| "task_loss": 0.24385812878608704 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.23440049588680267, | |
| "epoch": 0.99, | |
| "learning_rate": 1.7102137767220902e-07, | |
| "loss": 0.2771, | |
| "step": 2090, | |
| "task_loss": 0.12204352021217346 | |
| }, | |
| { | |
| "compression/movement_sparsity/importance_regularization_factor": 0.0, | |
| "compression/movement_sparsity/importance_threshold": -Infinity, | |
| "compression/movement_sparsity/linear_layer_sparsity": 0.0, | |
| "compression/movement_sparsity/model_sparsity": 0.0, | |
| "compression_loss": 0.0, | |
| "distillation_loss": 0.2844744920730591, | |
| "epoch": 1.0, | |
| "learning_rate": 7.600950118764846e-08, | |
| "loss": 0.2458, | |
| "step": 2100, | |
| "task_loss": 0.3573310077190399 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "step": 2105, | |
| "total_flos": 4441630972486656.0, | |
| "train_loss": 0.40093172477146793, | |
| "train_runtime": 1354.5918, | |
| "train_samples_per_second": 49.719, | |
| "train_steps_per_second": 1.554 | |
| } | |
| ], | |
| "max_steps": 2105, | |
| "num_train_epochs": 1, | |
| "total_flos": 4441630972486656.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |