| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 500, | |
| "global_step": 400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "Batch Mean": 0.8096684217453003, | |
| "accuracy": 0.625, | |
| "epoch": 0, | |
| "step": 0 | |
| }, | |
| { | |
| "epoch": 0.0025, | |
| "grad_norm": 9.15977954864502, | |
| "learning_rate": 2.5000000000000004e-07, | |
| "loss": 0.6694, | |
| "step": 1 | |
| }, | |
| { | |
| "Batch Mean": 0.8517913818359375, | |
| "accuracy": 0.5234375, | |
| "epoch": 0.0025, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.005, | |
| "grad_norm": 9.550761222839355, | |
| "learning_rate": 5.000000000000001e-07, | |
| "loss": 0.7001, | |
| "step": 2 | |
| }, | |
| { | |
| "Batch Mean": 0.8251190185546875, | |
| "accuracy": 0.4921875, | |
| "epoch": 0.005, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.0075, | |
| "grad_norm": 10.096807479858398, | |
| "learning_rate": 7.5e-07, | |
| "loss": 0.7277, | |
| "step": 3 | |
| }, | |
| { | |
| "Batch Mean": 0.8156070709228516, | |
| "accuracy": 0.515625, | |
| "epoch": 0.0075, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "grad_norm": 10.845061302185059, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.7116, | |
| "step": 4 | |
| }, | |
| { | |
| "Batch Mean": 0.772618293762207, | |
| "accuracy": 0.53125, | |
| "epoch": 0.01, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.0125, | |
| "grad_norm": 10.683115005493164, | |
| "learning_rate": 1.25e-06, | |
| "loss": 0.7074, | |
| "step": 5 | |
| }, | |
| { | |
| "Batch Mean": 0.7320594787597656, | |
| "accuracy": 0.5390625, | |
| "epoch": 0.0125, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.015, | |
| "grad_norm": 9.102219581604004, | |
| "learning_rate": 1.5e-06, | |
| "loss": 0.6964, | |
| "step": 6 | |
| }, | |
| { | |
| "Batch Mean": 0.639228105545044, | |
| "accuracy": 0.5703125, | |
| "epoch": 0.015, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.0175, | |
| "grad_norm": 10.126181602478027, | |
| "learning_rate": 1.75e-06, | |
| "loss": 0.6981, | |
| "step": 7 | |
| }, | |
| { | |
| "Batch Mean": 0.28215163946151733, | |
| "accuracy": 0.6015625, | |
| "epoch": 0.0175, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.02, | |
| "grad_norm": 6.3671040534973145, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 0.6668, | |
| "step": 8 | |
| }, | |
| { | |
| "Batch Mean": 0.10402120649814606, | |
| "accuracy": 0.5234375, | |
| "epoch": 0.02, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.0225, | |
| "grad_norm": 6.053694248199463, | |
| "learning_rate": 2.25e-06, | |
| "loss": 0.6907, | |
| "step": 9 | |
| }, | |
| { | |
| "Batch Mean": -0.794627845287323, | |
| "accuracy": 0.5234375, | |
| "epoch": 0.0225, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.025, | |
| "grad_norm": 9.284210205078125, | |
| "learning_rate": 2.5e-06, | |
| "loss": 0.6879, | |
| "step": 10 | |
| }, | |
| { | |
| "Batch Mean": -1.1373445987701416, | |
| "accuracy": 0.59375, | |
| "epoch": 0.025, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.0275, | |
| "grad_norm": 13.110421180725098, | |
| "learning_rate": 2.7500000000000004e-06, | |
| "loss": 0.6954, | |
| "step": 11 | |
| }, | |
| { | |
| "Batch Mean": -1.2041501998901367, | |
| "accuracy": 0.59375, | |
| "epoch": 0.0275, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 13.619694709777832, | |
| "learning_rate": 3e-06, | |
| "loss": 0.7004, | |
| "step": 12 | |
| }, | |
| { | |
| "Batch Mean": -1.1390533447265625, | |
| "accuracy": 0.65625, | |
| "epoch": 0.03, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.0325, | |
| "grad_norm": 16.698774337768555, | |
| "learning_rate": 3.2500000000000002e-06, | |
| "loss": 0.6691, | |
| "step": 13 | |
| }, | |
| { | |
| "Batch Mean": -1.2006721496582031, | |
| "accuracy": 0.6953125, | |
| "epoch": 0.0325, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.035, | |
| "grad_norm": 13.031152725219727, | |
| "learning_rate": 3.5e-06, | |
| "loss": 0.6749, | |
| "step": 14 | |
| }, | |
| { | |
| "Batch Mean": -1.1018962860107422, | |
| "accuracy": 0.6484375, | |
| "epoch": 0.035, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.0375, | |
| "grad_norm": 11.913775444030762, | |
| "learning_rate": 3.7500000000000005e-06, | |
| "loss": 0.6517, | |
| "step": 15 | |
| }, | |
| { | |
| "Batch Mean": -0.8371965289115906, | |
| "accuracy": 0.65625, | |
| "epoch": 0.0375, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 9.776491165161133, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 0.6435, | |
| "step": 16 | |
| }, | |
| { | |
| "Batch Mean": -0.25420451164245605, | |
| "accuracy": 0.65625, | |
| "epoch": 0.04, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.0425, | |
| "grad_norm": 5.094934940338135, | |
| "learning_rate": 4.25e-06, | |
| "loss": 0.6352, | |
| "step": 17 | |
| }, | |
| { | |
| "Batch Mean": 0.45112472772598267, | |
| "accuracy": 0.625, | |
| "epoch": 0.0425, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.045, | |
| "grad_norm": 6.203393459320068, | |
| "learning_rate": 4.5e-06, | |
| "loss": 0.6305, | |
| "step": 18 | |
| }, | |
| { | |
| "Batch Mean": 1.0782840251922607, | |
| "accuracy": 0.640625, | |
| "epoch": 0.045, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.0475, | |
| "grad_norm": 11.932191848754883, | |
| "learning_rate": 4.75e-06, | |
| "loss": 0.6401, | |
| "step": 19 | |
| }, | |
| { | |
| "Batch Mean": 1.6000666618347168, | |
| "accuracy": 0.65625, | |
| "epoch": 0.0475, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 18.466459274291992, | |
| "learning_rate": 5e-06, | |
| "loss": 0.6928, | |
| "step": 20 | |
| }, | |
| { | |
| "Batch Mean": 1.6292922496795654, | |
| "accuracy": 0.65625, | |
| "epoch": 0.05, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.0525, | |
| "grad_norm": 18.958446502685547, | |
| "learning_rate": 4.986842105263158e-06, | |
| "loss": 0.6456, | |
| "step": 21 | |
| }, | |
| { | |
| "Batch Mean": 1.0992889404296875, | |
| "accuracy": 0.7109375, | |
| "epoch": 0.0525, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.055, | |
| "grad_norm": 12.98255443572998, | |
| "learning_rate": 4.973684210526316e-06, | |
| "loss": 0.606, | |
| "step": 22 | |
| }, | |
| { | |
| "Batch Mean": 0.33066248893737793, | |
| "accuracy": 0.703125, | |
| "epoch": 0.055, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.0575, | |
| "grad_norm": 6.1022725105285645, | |
| "learning_rate": 4.960526315789474e-06, | |
| "loss": 0.5807, | |
| "step": 23 | |
| }, | |
| { | |
| "Batch Mean": -0.7870486974716187, | |
| "accuracy": 0.7109375, | |
| "epoch": 0.0575, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 9.311738014221191, | |
| "learning_rate": 4.947368421052632e-06, | |
| "loss": 0.5331, | |
| "step": 24 | |
| }, | |
| { | |
| "Batch Mean": -1.2838190793991089, | |
| "accuracy": 0.6484375, | |
| "epoch": 0.06, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.0625, | |
| "grad_norm": 13.955443382263184, | |
| "learning_rate": 4.9342105263157895e-06, | |
| "loss": 0.6186, | |
| "step": 25 | |
| }, | |
| { | |
| "Batch Mean": -1.324391484260559, | |
| "accuracy": 0.6953125, | |
| "epoch": 0.0625, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.065, | |
| "grad_norm": 14.612135887145996, | |
| "learning_rate": 4.921052631578948e-06, | |
| "loss": 0.5325, | |
| "step": 26 | |
| }, | |
| { | |
| "Batch Mean": -0.7885305881500244, | |
| "accuracy": 0.7109375, | |
| "epoch": 0.065, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.0675, | |
| "grad_norm": 9.373554229736328, | |
| "learning_rate": 4.907894736842106e-06, | |
| "loss": 0.5549, | |
| "step": 27 | |
| }, | |
| { | |
| "Batch Mean": -0.25717926025390625, | |
| "accuracy": 0.6953125, | |
| "epoch": 0.0675, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.07, | |
| "grad_norm": 5.559288501739502, | |
| "learning_rate": 4.894736842105264e-06, | |
| "loss": 0.572, | |
| "step": 28 | |
| }, | |
| { | |
| "Batch Mean": 0.7993221282958984, | |
| "accuracy": 0.6171875, | |
| "epoch": 0.07, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.0725, | |
| "grad_norm": 10.778632164001465, | |
| "learning_rate": 4.881578947368422e-06, | |
| "loss": 0.6806, | |
| "step": 29 | |
| }, | |
| { | |
| "Batch Mean": 1.2803305387496948, | |
| "accuracy": 0.6796875, | |
| "epoch": 0.0725, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.075, | |
| "grad_norm": 14.314054489135742, | |
| "learning_rate": 4.8684210526315795e-06, | |
| "loss": 0.641, | |
| "step": 30 | |
| }, | |
| { | |
| "Batch Mean": 1.1847546100616455, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.075, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.0775, | |
| "grad_norm": 12.86508846282959, | |
| "learning_rate": 4.855263157894737e-06, | |
| "loss": 0.5118, | |
| "step": 31 | |
| }, | |
| { | |
| "Batch Mean": 0.7971279621124268, | |
| "accuracy": 0.734375, | |
| "epoch": 0.0775, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 8.987775802612305, | |
| "learning_rate": 4.842105263157895e-06, | |
| "loss": 0.5508, | |
| "step": 32 | |
| }, | |
| { | |
| "Batch Mean": -0.12238264083862305, | |
| "accuracy": 0.671875, | |
| "epoch": 0.08, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.0825, | |
| "grad_norm": 4.265674591064453, | |
| "learning_rate": 4.828947368421053e-06, | |
| "loss": 0.5533, | |
| "step": 33 | |
| }, | |
| { | |
| "Batch Mean": -0.7733749151229858, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.0825, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.085, | |
| "grad_norm": 9.074788093566895, | |
| "learning_rate": 4.815789473684211e-06, | |
| "loss": 0.5455, | |
| "step": 34 | |
| }, | |
| { | |
| "Batch Mean": -0.9033082723617554, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.085, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.0875, | |
| "grad_norm": 10.331607818603516, | |
| "learning_rate": 4.802631578947369e-06, | |
| "loss": 0.5539, | |
| "step": 35 | |
| }, | |
| { | |
| "Batch Mean": -0.5780456066131592, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.0875, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 7.254377365112305, | |
| "learning_rate": 4.789473684210527e-06, | |
| "loss": 0.547, | |
| "step": 36 | |
| }, | |
| { | |
| "Batch Mean": 0.09664157032966614, | |
| "accuracy": 0.6953125, | |
| "epoch": 0.09, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.0925, | |
| "grad_norm": 3.9853391647338867, | |
| "learning_rate": 4.7763157894736844e-06, | |
| "loss": 0.5451, | |
| "step": 37 | |
| }, | |
| { | |
| "Batch Mean": 0.5406360626220703, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.0925, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.095, | |
| "grad_norm": 7.308631896972656, | |
| "learning_rate": 4.763157894736842e-06, | |
| "loss": 0.5313, | |
| "step": 38 | |
| }, | |
| { | |
| "Batch Mean": 0.6023058891296387, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.095, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.0975, | |
| "grad_norm": 7.4278717041015625, | |
| "learning_rate": 4.75e-06, | |
| "loss": 0.5145, | |
| "step": 39 | |
| }, | |
| { | |
| "Batch Mean": 0.23680943250656128, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.0975, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 5.057112693786621, | |
| "learning_rate": 4.736842105263158e-06, | |
| "loss": 0.4793, | |
| "step": 40 | |
| }, | |
| { | |
| "Batch Mean": -0.2819175720214844, | |
| "accuracy": 0.75, | |
| "epoch": 0.1, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.1025, | |
| "grad_norm": 5.986076831817627, | |
| "learning_rate": 4.723684210526316e-06, | |
| "loss": 0.4989, | |
| "step": 41 | |
| }, | |
| { | |
| "Batch Mean": -0.2952081263065338, | |
| "accuracy": 0.765625, | |
| "epoch": 0.1025, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.105, | |
| "grad_norm": 6.123879432678223, | |
| "learning_rate": 4.710526315789474e-06, | |
| "loss": 0.4959, | |
| "step": 42 | |
| }, | |
| { | |
| "Batch Mean": -0.5327777862548828, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.105, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.1075, | |
| "grad_norm": 7.773658752441406, | |
| "learning_rate": 4.697368421052632e-06, | |
| "loss": 0.4501, | |
| "step": 43 | |
| }, | |
| { | |
| "Batch Mean": -0.00808095932006836, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.1075, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "grad_norm": 6.165060520172119, | |
| "learning_rate": 4.68421052631579e-06, | |
| "loss": 0.4952, | |
| "step": 44 | |
| }, | |
| { | |
| "Batch Mean": 0.23638486862182617, | |
| "accuracy": 0.7109375, | |
| "epoch": 0.11, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.1125, | |
| "grad_norm": 6.963595390319824, | |
| "learning_rate": 4.671052631578948e-06, | |
| "loss": 0.5261, | |
| "step": 45 | |
| }, | |
| { | |
| "Batch Mean": 0.07831740379333496, | |
| "accuracy": 0.8125, | |
| "epoch": 0.1125, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.115, | |
| "grad_norm": 5.393492221832275, | |
| "learning_rate": 4.657894736842106e-06, | |
| "loss": 0.405, | |
| "step": 46 | |
| }, | |
| { | |
| "Batch Mean": 0.10195636749267578, | |
| "accuracy": 0.75, | |
| "epoch": 0.115, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.1175, | |
| "grad_norm": 9.352888107299805, | |
| "learning_rate": 4.6447368421052635e-06, | |
| "loss": 0.5726, | |
| "step": 47 | |
| }, | |
| { | |
| "Batch Mean": 0.4460281729698181, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.1175, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 9.130428314208984, | |
| "learning_rate": 4.631578947368421e-06, | |
| "loss": 0.5347, | |
| "step": 48 | |
| }, | |
| { | |
| "Batch Mean": -0.2610776424407959, | |
| "accuracy": 0.796875, | |
| "epoch": 0.12, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.1225, | |
| "grad_norm": 6.863037586212158, | |
| "learning_rate": 4.618421052631579e-06, | |
| "loss": 0.4456, | |
| "step": 49 | |
| }, | |
| { | |
| "Batch Mean": -0.19384944438934326, | |
| "accuracy": 0.6328125, | |
| "epoch": 0.1225, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.125, | |
| "grad_norm": 6.617422103881836, | |
| "learning_rate": 4.605263157894737e-06, | |
| "loss": 0.5905, | |
| "step": 50 | |
| }, | |
| { | |
| "Batch Mean": -0.4514150619506836, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.125, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.1275, | |
| "grad_norm": 7.564980506896973, | |
| "learning_rate": 4.592105263157895e-06, | |
| "loss": 0.4885, | |
| "step": 51 | |
| }, | |
| { | |
| "Batch Mean": -0.003515481948852539, | |
| "accuracy": 0.734375, | |
| "epoch": 0.1275, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 5.258878707885742, | |
| "learning_rate": 4.578947368421053e-06, | |
| "loss": 0.5032, | |
| "step": 52 | |
| }, | |
| { | |
| "Batch Mean": -0.10907495021820068, | |
| "accuracy": 0.71875, | |
| "epoch": 0.13, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.1325, | |
| "grad_norm": 5.931639194488525, | |
| "learning_rate": 4.565789473684211e-06, | |
| "loss": 0.542, | |
| "step": 53 | |
| }, | |
| { | |
| "Batch Mean": 0.46248769760131836, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.1325, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.135, | |
| "grad_norm": 7.1796112060546875, | |
| "learning_rate": 4.552631578947369e-06, | |
| "loss": 0.4685, | |
| "step": 54 | |
| }, | |
| { | |
| "Batch Mean": 0.1234641969203949, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.135, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.1375, | |
| "grad_norm": 6.273733139038086, | |
| "learning_rate": 4.539473684210527e-06, | |
| "loss": 0.4989, | |
| "step": 55 | |
| }, | |
| { | |
| "Batch Mean": -0.15052831172943115, | |
| "accuracy": 0.78125, | |
| "epoch": 0.1375, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "grad_norm": 5.630648612976074, | |
| "learning_rate": 4.526315789473685e-06, | |
| "loss": 0.4518, | |
| "step": 56 | |
| }, | |
| { | |
| "Batch Mean": 0.10203218460083008, | |
| "accuracy": 0.75, | |
| "epoch": 0.14, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.1425, | |
| "grad_norm": 5.465209484100342, | |
| "learning_rate": 4.513157894736843e-06, | |
| "loss": 0.4775, | |
| "step": 57 | |
| }, | |
| { | |
| "Batch Mean": -0.2146952748298645, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.1425, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.145, | |
| "grad_norm": 5.516883373260498, | |
| "learning_rate": 4.5e-06, | |
| "loss": 0.4672, | |
| "step": 58 | |
| }, | |
| { | |
| "Batch Mean": 0.39426422119140625, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.145, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.1475, | |
| "grad_norm": 6.986379146575928, | |
| "learning_rate": 4.4868421052631584e-06, | |
| "loss": 0.4851, | |
| "step": 59 | |
| }, | |
| { | |
| "Batch Mean": 0.1964409053325653, | |
| "accuracy": 0.75, | |
| "epoch": 0.1475, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 6.413231372833252, | |
| "learning_rate": 4.473684210526316e-06, | |
| "loss": 0.5073, | |
| "step": 60 | |
| }, | |
| { | |
| "Batch Mean": -0.21541327238082886, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.15, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.1525, | |
| "grad_norm": 5.495061874389648, | |
| "learning_rate": 4.460526315789474e-06, | |
| "loss": 0.4751, | |
| "step": 61 | |
| }, | |
| { | |
| "Batch Mean": -0.3059917688369751, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.1525, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.155, | |
| "grad_norm": 6.379850387573242, | |
| "learning_rate": 4.447368421052632e-06, | |
| "loss": 0.4679, | |
| "step": 62 | |
| }, | |
| { | |
| "Batch Mean": -0.5860270261764526, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.155, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.1575, | |
| "grad_norm": 8.42182731628418, | |
| "learning_rate": 4.43421052631579e-06, | |
| "loss": 0.4152, | |
| "step": 63 | |
| }, | |
| { | |
| "Batch Mean": 0.14216375350952148, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.1575, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 6.759493827819824, | |
| "learning_rate": 4.4210526315789476e-06, | |
| "loss": 0.4852, | |
| "step": 64 | |
| }, | |
| { | |
| "Batch Mean": 0.3515692353248596, | |
| "accuracy": 0.796875, | |
| "epoch": 0.16, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.1625, | |
| "grad_norm": 7.567401885986328, | |
| "learning_rate": 4.407894736842105e-06, | |
| "loss": 0.4449, | |
| "step": 65 | |
| }, | |
| { | |
| "Batch Mean": 0.281324565410614, | |
| "accuracy": 0.765625, | |
| "epoch": 0.1625, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.165, | |
| "grad_norm": 7.912868022918701, | |
| "learning_rate": 4.394736842105263e-06, | |
| "loss": 0.5717, | |
| "step": 66 | |
| }, | |
| { | |
| "Batch Mean": 0.07387387752532959, | |
| "accuracy": 0.796875, | |
| "epoch": 0.165, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.1675, | |
| "grad_norm": 5.737614631652832, | |
| "learning_rate": 4.381578947368421e-06, | |
| "loss": 0.4532, | |
| "step": 67 | |
| }, | |
| { | |
| "Batch Mean": -0.45137548446655273, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.1675, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.17, | |
| "grad_norm": 9.204909324645996, | |
| "learning_rate": 4.368421052631579e-06, | |
| "loss": 0.501, | |
| "step": 68 | |
| }, | |
| { | |
| "Batch Mean": -0.12238574028015137, | |
| "accuracy": 0.828125, | |
| "epoch": 0.17, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.1725, | |
| "grad_norm": 6.6219162940979, | |
| "learning_rate": 4.3552631578947375e-06, | |
| "loss": 0.416, | |
| "step": 69 | |
| }, | |
| { | |
| "Batch Mean": 0.06974506378173828, | |
| "accuracy": 0.78125, | |
| "epoch": 0.1725, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.175, | |
| "grad_norm": 5.526142120361328, | |
| "learning_rate": 4.342105263157895e-06, | |
| "loss": 0.4364, | |
| "step": 70 | |
| }, | |
| { | |
| "Batch Mean": 0.3401278257369995, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.175, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.1775, | |
| "grad_norm": 6.567529678344727, | |
| "learning_rate": 4.328947368421053e-06, | |
| "loss": 0.4396, | |
| "step": 71 | |
| }, | |
| { | |
| "Batch Mean": -0.12450069189071655, | |
| "accuracy": 0.75, | |
| "epoch": 0.1775, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "grad_norm": 6.054138660430908, | |
| "learning_rate": 4.315789473684211e-06, | |
| "loss": 0.4604, | |
| "step": 72 | |
| }, | |
| { | |
| "Batch Mean": 0.0036773681640625, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.18, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.1825, | |
| "grad_norm": 6.112196445465088, | |
| "learning_rate": 4.302631578947369e-06, | |
| "loss": 0.4091, | |
| "step": 73 | |
| }, | |
| { | |
| "Batch Mean": -0.3432164192199707, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.1825, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.185, | |
| "grad_norm": 6.806588649749756, | |
| "learning_rate": 4.289473684210527e-06, | |
| "loss": 0.4194, | |
| "step": 74 | |
| }, | |
| { | |
| "Batch Mean": -0.10890483856201172, | |
| "accuracy": 0.671875, | |
| "epoch": 0.185, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.1875, | |
| "grad_norm": 7.000553131103516, | |
| "learning_rate": 4.276315789473684e-06, | |
| "loss": 0.5318, | |
| "step": 75 | |
| }, | |
| { | |
| "Batch Mean": 0.6419280171394348, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.1875, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 8.422764778137207, | |
| "learning_rate": 4.2631578947368425e-06, | |
| "loss": 0.4539, | |
| "step": 76 | |
| }, | |
| { | |
| "Batch Mean": 0.28451067209243774, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.19, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.1925, | |
| "grad_norm": 6.512566566467285, | |
| "learning_rate": 4.25e-06, | |
| "loss": 0.4522, | |
| "step": 77 | |
| }, | |
| { | |
| "Batch Mean": -0.07123541831970215, | |
| "accuracy": 0.8125, | |
| "epoch": 0.1925, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.195, | |
| "grad_norm": 6.979062080383301, | |
| "learning_rate": 4.236842105263158e-06, | |
| "loss": 0.4827, | |
| "step": 78 | |
| }, | |
| { | |
| "Batch Mean": -0.2889130115509033, | |
| "accuracy": 0.71875, | |
| "epoch": 0.195, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 0.1975, | |
| "grad_norm": 7.523491859436035, | |
| "learning_rate": 4.223684210526316e-06, | |
| "loss": 0.4501, | |
| "step": 79 | |
| }, | |
| { | |
| "Batch Mean": -0.2912619113922119, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.1975, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 6.1573662757873535, | |
| "learning_rate": 4.210526315789474e-06, | |
| "loss": 0.4537, | |
| "step": 80 | |
| }, | |
| { | |
| "Batch Mean": 0.07626897096633911, | |
| "accuracy": 0.84375, | |
| "epoch": 0.2, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.2025, | |
| "grad_norm": 5.308783054351807, | |
| "learning_rate": 4.197368421052632e-06, | |
| "loss": 0.3777, | |
| "step": 81 | |
| }, | |
| { | |
| "Batch Mean": 0.44231414794921875, | |
| "accuracy": 0.78125, | |
| "epoch": 0.2025, | |
| "step": 81 | |
| }, | |
| { | |
| "epoch": 0.205, | |
| "grad_norm": 7.6725969314575195, | |
| "learning_rate": 4.18421052631579e-06, | |
| "loss": 0.4681, | |
| "step": 82 | |
| }, | |
| { | |
| "Batch Mean": 0.05066095292568207, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.205, | |
| "step": 82 | |
| }, | |
| { | |
| "epoch": 0.2075, | |
| "grad_norm": 6.136054039001465, | |
| "learning_rate": 4.171052631578948e-06, | |
| "loss": 0.4111, | |
| "step": 83 | |
| }, | |
| { | |
| "Batch Mean": 0.11537289619445801, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.2075, | |
| "step": 83 | |
| }, | |
| { | |
| "epoch": 0.21, | |
| "grad_norm": 5.31056022644043, | |
| "learning_rate": 4.157894736842106e-06, | |
| "loss": 0.345, | |
| "step": 84 | |
| }, | |
| { | |
| "Batch Mean": 0.05826067924499512, | |
| "accuracy": 0.734375, | |
| "epoch": 0.21, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 0.2125, | |
| "grad_norm": 6.368407249450684, | |
| "learning_rate": 4.144736842105263e-06, | |
| "loss": 0.4834, | |
| "step": 85 | |
| }, | |
| { | |
| "Batch Mean": -0.05756664276123047, | |
| "accuracy": 0.75, | |
| "epoch": 0.2125, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.215, | |
| "grad_norm": 7.063327312469482, | |
| "learning_rate": 4.1315789473684216e-06, | |
| "loss": 0.5013, | |
| "step": 86 | |
| }, | |
| { | |
| "Batch Mean": -0.08471214771270752, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.215, | |
| "step": 86 | |
| }, | |
| { | |
| "epoch": 0.2175, | |
| "grad_norm": 6.508166313171387, | |
| "learning_rate": 4.118421052631579e-06, | |
| "loss": 0.4431, | |
| "step": 87 | |
| }, | |
| { | |
| "Batch Mean": -0.06070905923843384, | |
| "accuracy": 0.703125, | |
| "epoch": 0.2175, | |
| "step": 87 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 7.8081583976745605, | |
| "learning_rate": 4.105263157894737e-06, | |
| "loss": 0.5481, | |
| "step": 88 | |
| }, | |
| { | |
| "Batch Mean": -0.15125751495361328, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.22, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 0.2225, | |
| "grad_norm": 5.806808948516846, | |
| "learning_rate": 4.092105263157895e-06, | |
| "loss": 0.3994, | |
| "step": 89 | |
| }, | |
| { | |
| "Batch Mean": -0.0017851591110229492, | |
| "accuracy": 0.828125, | |
| "epoch": 0.2225, | |
| "step": 89 | |
| }, | |
| { | |
| "epoch": 0.225, | |
| "grad_norm": 5.560466766357422, | |
| "learning_rate": 4.078947368421053e-06, | |
| "loss": 0.4, | |
| "step": 90 | |
| }, | |
| { | |
| "Batch Mean": 0.07748031616210938, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.225, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.2275, | |
| "grad_norm": 5.754173278808594, | |
| "learning_rate": 4.065789473684211e-06, | |
| "loss": 0.4019, | |
| "step": 91 | |
| }, | |
| { | |
| "Batch Mean": -0.24073825776576996, | |
| "accuracy": 0.78125, | |
| "epoch": 0.2275, | |
| "step": 91 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "grad_norm": 6.231720447540283, | |
| "learning_rate": 4.052631578947368e-06, | |
| "loss": 0.4585, | |
| "step": 92 | |
| }, | |
| { | |
| "Batch Mean": -0.45170480012893677, | |
| "accuracy": 0.75, | |
| "epoch": 0.23, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 0.2325, | |
| "grad_norm": 7.313357353210449, | |
| "learning_rate": 4.0394736842105265e-06, | |
| "loss": 0.4762, | |
| "step": 93 | |
| }, | |
| { | |
| "Batch Mean": 0.024792194366455078, | |
| "accuracy": 0.796875, | |
| "epoch": 0.2325, | |
| "step": 93 | |
| }, | |
| { | |
| "epoch": 0.235, | |
| "grad_norm": 4.933104515075684, | |
| "learning_rate": 4.026315789473684e-06, | |
| "loss": 0.4138, | |
| "step": 94 | |
| }, | |
| { | |
| "Batch Mean": -0.02751898765563965, | |
| "accuracy": 0.7421875, | |
| "epoch": 0.235, | |
| "step": 94 | |
| }, | |
| { | |
| "epoch": 0.2375, | |
| "grad_norm": 5.39032506942749, | |
| "learning_rate": 4.013157894736842e-06, | |
| "loss": 0.4787, | |
| "step": 95 | |
| }, | |
| { | |
| "Batch Mean": 0.06753873825073242, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.2375, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 5.1791462898254395, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 0.4488, | |
| "step": 96 | |
| }, | |
| { | |
| "Batch Mean": 0.22616100311279297, | |
| "accuracy": 0.828125, | |
| "epoch": 0.24, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 0.2425, | |
| "grad_norm": 5.300809383392334, | |
| "learning_rate": 3.986842105263158e-06, | |
| "loss": 0.4142, | |
| "step": 97 | |
| }, | |
| { | |
| "Batch Mean": -0.15787070989608765, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.2425, | |
| "step": 97 | |
| }, | |
| { | |
| "epoch": 0.245, | |
| "grad_norm": 5.704384803771973, | |
| "learning_rate": 3.9736842105263165e-06, | |
| "loss": 0.3797, | |
| "step": 98 | |
| }, | |
| { | |
| "Batch Mean": 0.13187718391418457, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.245, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 0.2475, | |
| "grad_norm": 6.045483589172363, | |
| "learning_rate": 3.960526315789474e-06, | |
| "loss": 0.5195, | |
| "step": 99 | |
| }, | |
| { | |
| "Batch Mean": -0.08533608913421631, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.2475, | |
| "step": 99 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 4.997817516326904, | |
| "learning_rate": 3.947368421052632e-06, | |
| "loss": 0.3816, | |
| "step": 100 | |
| }, | |
| { | |
| "Batch Mean": 0.028887659311294556, | |
| "accuracy": 0.7421875, | |
| "epoch": 0.25, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.2525, | |
| "grad_norm": 5.863315105438232, | |
| "learning_rate": 3.93421052631579e-06, | |
| "loss": 0.478, | |
| "step": 101 | |
| }, | |
| { | |
| "Batch Mean": 0.17493167519569397, | |
| "accuracy": 0.796875, | |
| "epoch": 0.2525, | |
| "step": 101 | |
| }, | |
| { | |
| "epoch": 0.255, | |
| "grad_norm": 5.986959934234619, | |
| "learning_rate": 3.921052631578947e-06, | |
| "loss": 0.4283, | |
| "step": 102 | |
| }, | |
| { | |
| "Batch Mean": 0.19265401363372803, | |
| "accuracy": 0.8125, | |
| "epoch": 0.255, | |
| "step": 102 | |
| }, | |
| { | |
| "epoch": 0.2575, | |
| "grad_norm": 5.091299533843994, | |
| "learning_rate": 3.907894736842106e-06, | |
| "loss": 0.352, | |
| "step": 103 | |
| }, | |
| { | |
| "Batch Mean": -0.2604933977127075, | |
| "accuracy": 0.75, | |
| "epoch": 0.2575, | |
| "step": 103 | |
| }, | |
| { | |
| "epoch": 0.26, | |
| "grad_norm": 6.963299751281738, | |
| "learning_rate": 3.894736842105263e-06, | |
| "loss": 0.4583, | |
| "step": 104 | |
| }, | |
| { | |
| "Batch Mean": -0.21034908294677734, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.26, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 0.2625, | |
| "grad_norm": 7.000269889831543, | |
| "learning_rate": 3.8815789473684214e-06, | |
| "loss": 0.3837, | |
| "step": 105 | |
| }, | |
| { | |
| "Batch Mean": -0.10478854179382324, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.2625, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.265, | |
| "grad_norm": 6.25542688369751, | |
| "learning_rate": 3.868421052631579e-06, | |
| "loss": 0.3928, | |
| "step": 106 | |
| }, | |
| { | |
| "Batch Mean": 0.35255885124206543, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.265, | |
| "step": 106 | |
| }, | |
| { | |
| "epoch": 0.2675, | |
| "grad_norm": 8.28545093536377, | |
| "learning_rate": 3.855263157894737e-06, | |
| "loss": 0.4785, | |
| "step": 107 | |
| }, | |
| { | |
| "Batch Mean": 0.4886665344238281, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.2675, | |
| "step": 107 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "grad_norm": 9.611257553100586, | |
| "learning_rate": 3.842105263157895e-06, | |
| "loss": 0.4635, | |
| "step": 108 | |
| }, | |
| { | |
| "Batch Mean": -0.06474494934082031, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.27, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 0.2725, | |
| "grad_norm": 7.419112682342529, | |
| "learning_rate": 3.828947368421053e-06, | |
| "loss": 0.4225, | |
| "step": 109 | |
| }, | |
| { | |
| "Batch Mean": -0.12506628036499023, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.2725, | |
| "step": 109 | |
| }, | |
| { | |
| "epoch": 0.275, | |
| "grad_norm": 6.5173020362854, | |
| "learning_rate": 3.815789473684211e-06, | |
| "loss": 0.3518, | |
| "step": 110 | |
| }, | |
| { | |
| "Batch Mean": -0.12815812230110168, | |
| "accuracy": 0.921875, | |
| "epoch": 0.275, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.2775, | |
| "grad_norm": 5.361306667327881, | |
| "learning_rate": 3.802631578947369e-06, | |
| "loss": 0.269, | |
| "step": 111 | |
| }, | |
| { | |
| "Batch Mean": -0.20336151123046875, | |
| "accuracy": 0.890625, | |
| "epoch": 0.2775, | |
| "step": 111 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 6.405649662017822, | |
| "learning_rate": 3.789473684210527e-06, | |
| "loss": 0.2563, | |
| "step": 112 | |
| }, | |
| { | |
| "Batch Mean": 0.22764039039611816, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.28, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 0.2825, | |
| "grad_norm": 8.156770706176758, | |
| "learning_rate": 3.7763157894736847e-06, | |
| "loss": 0.4163, | |
| "step": 113 | |
| }, | |
| { | |
| "Batch Mean": 0.27307558059692383, | |
| "accuracy": 0.859375, | |
| "epoch": 0.2825, | |
| "step": 113 | |
| }, | |
| { | |
| "epoch": 0.285, | |
| "grad_norm": 7.346747875213623, | |
| "learning_rate": 3.7631578947368426e-06, | |
| "loss": 0.3815, | |
| "step": 114 | |
| }, | |
| { | |
| "Batch Mean": 0.6259889602661133, | |
| "accuracy": 0.75, | |
| "epoch": 0.285, | |
| "step": 114 | |
| }, | |
| { | |
| "epoch": 0.2875, | |
| "grad_norm": 12.56270980834961, | |
| "learning_rate": 3.7500000000000005e-06, | |
| "loss": 0.5411, | |
| "step": 115 | |
| }, | |
| { | |
| "Batch Mean": -0.13174670934677124, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.2875, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "grad_norm": 7.563482761383057, | |
| "learning_rate": 3.736842105263158e-06, | |
| "loss": 0.4455, | |
| "step": 116 | |
| }, | |
| { | |
| "Batch Mean": -0.8023077249526978, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.29, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 0.2925, | |
| "grad_norm": 10.422194480895996, | |
| "learning_rate": 3.723684210526316e-06, | |
| "loss": 0.3826, | |
| "step": 117 | |
| }, | |
| { | |
| "Batch Mean": -0.7135447263717651, | |
| "accuracy": 0.796875, | |
| "epoch": 0.2925, | |
| "step": 117 | |
| }, | |
| { | |
| "epoch": 0.295, | |
| "grad_norm": 9.252284049987793, | |
| "learning_rate": 3.710526315789474e-06, | |
| "loss": 0.4201, | |
| "step": 118 | |
| }, | |
| { | |
| "Batch Mean": -0.24731099605560303, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.295, | |
| "step": 118 | |
| }, | |
| { | |
| "epoch": 0.2975, | |
| "grad_norm": 6.945714473724365, | |
| "learning_rate": 3.6973684210526317e-06, | |
| "loss": 0.461, | |
| "step": 119 | |
| }, | |
| { | |
| "Batch Mean": 0.4304164946079254, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.2975, | |
| "step": 119 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "grad_norm": 7.393038749694824, | |
| "learning_rate": 3.6842105263157896e-06, | |
| "loss": 0.3897, | |
| "step": 120 | |
| }, | |
| { | |
| "Batch Mean": 0.24881935119628906, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.3, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.3025, | |
| "grad_norm": 6.129741668701172, | |
| "learning_rate": 3.6710526315789476e-06, | |
| "loss": 0.3894, | |
| "step": 121 | |
| }, | |
| { | |
| "Batch Mean": 0.09764862060546875, | |
| "accuracy": 0.828125, | |
| "epoch": 0.3025, | |
| "step": 121 | |
| }, | |
| { | |
| "epoch": 0.305, | |
| "grad_norm": 5.265136241912842, | |
| "learning_rate": 3.657894736842106e-06, | |
| "loss": 0.3733, | |
| "step": 122 | |
| }, | |
| { | |
| "Batch Mean": 0.17956316471099854, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.305, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 0.3075, | |
| "grad_norm": 4.876620769500732, | |
| "learning_rate": 3.644736842105264e-06, | |
| "loss": 0.3689, | |
| "step": 123 | |
| }, | |
| { | |
| "Batch Mean": 0.19482755661010742, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.3075, | |
| "step": 123 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 6.0671162605285645, | |
| "learning_rate": 3.6315789473684217e-06, | |
| "loss": 0.4151, | |
| "step": 124 | |
| }, | |
| { | |
| "Batch Mean": -0.07992386817932129, | |
| "accuracy": 0.828125, | |
| "epoch": 0.31, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 0.3125, | |
| "grad_norm": 5.630014419555664, | |
| "learning_rate": 3.618421052631579e-06, | |
| "loss": 0.406, | |
| "step": 125 | |
| }, | |
| { | |
| "Batch Mean": -0.01944279670715332, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.3125, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.315, | |
| "grad_norm": 5.250101566314697, | |
| "learning_rate": 3.605263157894737e-06, | |
| "loss": 0.3816, | |
| "step": 126 | |
| }, | |
| { | |
| "Batch Mean": -0.18266761302947998, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.315, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 0.3175, | |
| "grad_norm": 6.644626617431641, | |
| "learning_rate": 3.592105263157895e-06, | |
| "loss": 0.4098, | |
| "step": 127 | |
| }, | |
| { | |
| "Batch Mean": 0.12618303298950195, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.3175, | |
| "step": 127 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 5.627920627593994, | |
| "learning_rate": 3.578947368421053e-06, | |
| "loss": 0.3854, | |
| "step": 128 | |
| }, | |
| { | |
| "Batch Mean": -0.33390331268310547, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.32, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 0.3225, | |
| "grad_norm": 7.37267541885376, | |
| "learning_rate": 3.565789473684211e-06, | |
| "loss": 0.4615, | |
| "step": 129 | |
| }, | |
| { | |
| "Batch Mean": -0.06647157669067383, | |
| "accuracy": 0.8125, | |
| "epoch": 0.3225, | |
| "step": 129 | |
| }, | |
| { | |
| "epoch": 0.325, | |
| "grad_norm": 6.135495185852051, | |
| "learning_rate": 3.5526315789473687e-06, | |
| "loss": 0.3621, | |
| "step": 130 | |
| }, | |
| { | |
| "Batch Mean": 0.4405427575111389, | |
| "accuracy": 0.75, | |
| "epoch": 0.325, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.3275, | |
| "grad_norm": 8.818106651306152, | |
| "learning_rate": 3.5394736842105266e-06, | |
| "loss": 0.5184, | |
| "step": 131 | |
| }, | |
| { | |
| "Batch Mean": -0.026287078857421875, | |
| "accuracy": 0.859375, | |
| "epoch": 0.3275, | |
| "step": 131 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "grad_norm": 5.420790195465088, | |
| "learning_rate": 3.5263157894736846e-06, | |
| "loss": 0.329, | |
| "step": 132 | |
| }, | |
| { | |
| "Batch Mean": 0.05462455749511719, | |
| "accuracy": 0.796875, | |
| "epoch": 0.33, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 0.3325, | |
| "grad_norm": 6.507498264312744, | |
| "learning_rate": 3.513157894736842e-06, | |
| "loss": 0.4115, | |
| "step": 133 | |
| }, | |
| { | |
| "Batch Mean": -0.24898433685302734, | |
| "accuracy": 0.765625, | |
| "epoch": 0.3325, | |
| "step": 133 | |
| }, | |
| { | |
| "epoch": 0.335, | |
| "grad_norm": 7.103653430938721, | |
| "learning_rate": 3.5e-06, | |
| "loss": 0.47, | |
| "step": 134 | |
| }, | |
| { | |
| "Batch Mean": 0.0019243955612182617, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.335, | |
| "step": 134 | |
| }, | |
| { | |
| "epoch": 0.3375, | |
| "grad_norm": 6.966567039489746, | |
| "learning_rate": 3.486842105263158e-06, | |
| "loss": 0.4961, | |
| "step": 135 | |
| }, | |
| { | |
| "Batch Mean": -0.3426704406738281, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.3375, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "grad_norm": 6.283776760101318, | |
| "learning_rate": 3.473684210526316e-06, | |
| "loss": 0.3601, | |
| "step": 136 | |
| }, | |
| { | |
| "Batch Mean": -0.20534992218017578, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.34, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 0.3425, | |
| "grad_norm": 6.146775245666504, | |
| "learning_rate": 3.460526315789474e-06, | |
| "loss": 0.3778, | |
| "step": 137 | |
| }, | |
| { | |
| "Batch Mean": 0.08529424667358398, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.3425, | |
| "step": 137 | |
| }, | |
| { | |
| "epoch": 0.345, | |
| "grad_norm": 6.416910171508789, | |
| "learning_rate": 3.447368421052632e-06, | |
| "loss": 0.4167, | |
| "step": 138 | |
| }, | |
| { | |
| "Batch Mean": -0.047773122787475586, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.345, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 0.3475, | |
| "grad_norm": 5.484972953796387, | |
| "learning_rate": 3.43421052631579e-06, | |
| "loss": 0.3506, | |
| "step": 139 | |
| }, | |
| { | |
| "Batch Mean": 0.5931057929992676, | |
| "accuracy": 0.828125, | |
| "epoch": 0.3475, | |
| "step": 139 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 7.790515899658203, | |
| "learning_rate": 3.421052631578948e-06, | |
| "loss": 0.3479, | |
| "step": 140 | |
| }, | |
| { | |
| "Batch Mean": 0.15590977668762207, | |
| "accuracy": 0.84375, | |
| "epoch": 0.35, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.3525, | |
| "grad_norm": 6.013650417327881, | |
| "learning_rate": 3.4078947368421057e-06, | |
| "loss": 0.3612, | |
| "step": 141 | |
| }, | |
| { | |
| "Batch Mean": 0.46294069290161133, | |
| "accuracy": 0.78125, | |
| "epoch": 0.3525, | |
| "step": 141 | |
| }, | |
| { | |
| "epoch": 0.355, | |
| "grad_norm": 8.1344633102417, | |
| "learning_rate": 3.3947368421052636e-06, | |
| "loss": 0.4946, | |
| "step": 142 | |
| }, | |
| { | |
| "Batch Mean": -0.12668347358703613, | |
| "accuracy": 0.796875, | |
| "epoch": 0.355, | |
| "step": 142 | |
| }, | |
| { | |
| "epoch": 0.3575, | |
| "grad_norm": 5.713737487792969, | |
| "learning_rate": 3.381578947368421e-06, | |
| "loss": 0.3976, | |
| "step": 143 | |
| }, | |
| { | |
| "Batch Mean": -0.4500846862792969, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.3575, | |
| "step": 143 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 7.036086559295654, | |
| "learning_rate": 3.368421052631579e-06, | |
| "loss": 0.3463, | |
| "step": 144 | |
| }, | |
| { | |
| "Batch Mean": -0.37799644470214844, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.36, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 0.3625, | |
| "grad_norm": 6.1970062255859375, | |
| "learning_rate": 3.355263157894737e-06, | |
| "loss": 0.3877, | |
| "step": 145 | |
| }, | |
| { | |
| "Batch Mean": -0.10559439659118652, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.3625, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.365, | |
| "grad_norm": 5.835550308227539, | |
| "learning_rate": 3.342105263157895e-06, | |
| "loss": 0.3851, | |
| "step": 146 | |
| }, | |
| { | |
| "Batch Mean": 0.44306373596191406, | |
| "accuracy": 0.75, | |
| "epoch": 0.365, | |
| "step": 146 | |
| }, | |
| { | |
| "epoch": 0.3675, | |
| "grad_norm": 7.37814474105835, | |
| "learning_rate": 3.3289473684210528e-06, | |
| "loss": 0.4315, | |
| "step": 147 | |
| }, | |
| { | |
| "Batch Mean": -0.04085433483123779, | |
| "accuracy": 0.796875, | |
| "epoch": 0.3675, | |
| "step": 147 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "grad_norm": 6.159938812255859, | |
| "learning_rate": 3.3157894736842107e-06, | |
| "loss": 0.4498, | |
| "step": 148 | |
| }, | |
| { | |
| "Batch Mean": 0.40547609329223633, | |
| "accuracy": 0.828125, | |
| "epoch": 0.37, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 0.3725, | |
| "grad_norm": 6.4657301902771, | |
| "learning_rate": 3.302631578947369e-06, | |
| "loss": 0.4086, | |
| "step": 149 | |
| }, | |
| { | |
| "Batch Mean": 0.18158531188964844, | |
| "accuracy": 0.890625, | |
| "epoch": 0.3725, | |
| "step": 149 | |
| }, | |
| { | |
| "epoch": 0.375, | |
| "grad_norm": 5.317295074462891, | |
| "learning_rate": 3.289473684210527e-06, | |
| "loss": 0.3154, | |
| "step": 150 | |
| }, | |
| { | |
| "Batch Mean": 0.09602212905883789, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.375, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.3775, | |
| "grad_norm": 5.428357124328613, | |
| "learning_rate": 3.276315789473685e-06, | |
| "loss": 0.3893, | |
| "step": 151 | |
| }, | |
| { | |
| "Batch Mean": -0.3176734447479248, | |
| "accuracy": 0.765625, | |
| "epoch": 0.3775, | |
| "step": 151 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 6.5872087478637695, | |
| "learning_rate": 3.2631578947368423e-06, | |
| "loss": 0.4477, | |
| "step": 152 | |
| }, | |
| { | |
| "Batch Mean": -0.34884822368621826, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.38, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 0.3825, | |
| "grad_norm": 6.333802223205566, | |
| "learning_rate": 3.2500000000000002e-06, | |
| "loss": 0.3661, | |
| "step": 153 | |
| }, | |
| { | |
| "Batch Mean": -0.11426492035388947, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.3825, | |
| "step": 153 | |
| }, | |
| { | |
| "epoch": 0.385, | |
| "grad_norm": 6.027217388153076, | |
| "learning_rate": 3.236842105263158e-06, | |
| "loss": 0.3967, | |
| "step": 154 | |
| }, | |
| { | |
| "Batch Mean": 0.2238612174987793, | |
| "accuracy": 0.828125, | |
| "epoch": 0.385, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 0.3875, | |
| "grad_norm": 5.728042125701904, | |
| "learning_rate": 3.223684210526316e-06, | |
| "loss": 0.3469, | |
| "step": 155 | |
| }, | |
| { | |
| "Batch Mean": 0.2194676399230957, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.3875, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "grad_norm": 6.083252906799316, | |
| "learning_rate": 3.210526315789474e-06, | |
| "loss": 0.3512, | |
| "step": 156 | |
| }, | |
| { | |
| "Batch Mean": 0.4024663269519806, | |
| "accuracy": 0.84375, | |
| "epoch": 0.39, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 0.3925, | |
| "grad_norm": 6.562926292419434, | |
| "learning_rate": 3.197368421052632e-06, | |
| "loss": 0.3141, | |
| "step": 157 | |
| }, | |
| { | |
| "Batch Mean": -0.39385366439819336, | |
| "accuracy": 0.859375, | |
| "epoch": 0.3925, | |
| "step": 157 | |
| }, | |
| { | |
| "epoch": 0.395, | |
| "grad_norm": 7.200568199157715, | |
| "learning_rate": 3.1842105263157898e-06, | |
| "loss": 0.3309, | |
| "step": 158 | |
| }, | |
| { | |
| "Batch Mean": -0.46120989322662354, | |
| "accuracy": 0.796875, | |
| "epoch": 0.395, | |
| "step": 158 | |
| }, | |
| { | |
| "epoch": 0.3975, | |
| "grad_norm": 8.028575897216797, | |
| "learning_rate": 3.1710526315789477e-06, | |
| "loss": 0.4198, | |
| "step": 159 | |
| }, | |
| { | |
| "Batch Mean": -0.01939535140991211, | |
| "accuracy": 0.828125, | |
| "epoch": 0.3975, | |
| "step": 159 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 6.117007732391357, | |
| "learning_rate": 3.157894736842105e-06, | |
| "loss": 0.3203, | |
| "step": 160 | |
| }, | |
| { | |
| "Batch Mean": 0.30785632133483887, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.4, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.4025, | |
| "grad_norm": 6.923008918762207, | |
| "learning_rate": 3.144736842105263e-06, | |
| "loss": 0.3664, | |
| "step": 161 | |
| }, | |
| { | |
| "Batch Mean": 0.7033977508544922, | |
| "accuracy": 0.828125, | |
| "epoch": 0.4025, | |
| "step": 161 | |
| }, | |
| { | |
| "epoch": 0.405, | |
| "grad_norm": 9.752437591552734, | |
| "learning_rate": 3.131578947368421e-06, | |
| "loss": 0.3907, | |
| "step": 162 | |
| }, | |
| { | |
| "Batch Mean": -0.347902774810791, | |
| "accuracy": 0.828125, | |
| "epoch": 0.405, | |
| "step": 162 | |
| }, | |
| { | |
| "epoch": 0.4075, | |
| "grad_norm": 7.6583991050720215, | |
| "learning_rate": 3.1184210526315793e-06, | |
| "loss": 0.374, | |
| "step": 163 | |
| }, | |
| { | |
| "Batch Mean": -0.569427490234375, | |
| "accuracy": 0.84375, | |
| "epoch": 0.4075, | |
| "step": 163 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 8.497271537780762, | |
| "learning_rate": 3.1052631578947372e-06, | |
| "loss": 0.3917, | |
| "step": 164 | |
| }, | |
| { | |
| "Batch Mean": -0.094696044921875, | |
| "accuracy": 0.796875, | |
| "epoch": 0.41, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 0.4125, | |
| "grad_norm": 8.36490249633789, | |
| "learning_rate": 3.092105263157895e-06, | |
| "loss": 0.4532, | |
| "step": 165 | |
| }, | |
| { | |
| "Batch Mean": -0.3759317398071289, | |
| "accuracy": 0.859375, | |
| "epoch": 0.4125, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.415, | |
| "grad_norm": 7.4028425216674805, | |
| "learning_rate": 3.078947368421053e-06, | |
| "loss": 0.3049, | |
| "step": 166 | |
| }, | |
| { | |
| "Batch Mean": 0.3960217833518982, | |
| "accuracy": 0.828125, | |
| "epoch": 0.415, | |
| "step": 166 | |
| }, | |
| { | |
| "epoch": 0.4175, | |
| "grad_norm": 7.194099426269531, | |
| "learning_rate": 3.065789473684211e-06, | |
| "loss": 0.3577, | |
| "step": 167 | |
| }, | |
| { | |
| "Batch Mean": 0.5912597179412842, | |
| "accuracy": 0.875, | |
| "epoch": 0.4175, | |
| "step": 167 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "grad_norm": 7.954378128051758, | |
| "learning_rate": 3.052631578947369e-06, | |
| "loss": 0.3329, | |
| "step": 168 | |
| }, | |
| { | |
| "Batch Mean": -0.014994144439697266, | |
| "accuracy": 0.796875, | |
| "epoch": 0.42, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 0.4225, | |
| "grad_norm": 7.277341365814209, | |
| "learning_rate": 3.0394736842105268e-06, | |
| "loss": 0.423, | |
| "step": 169 | |
| }, | |
| { | |
| "Batch Mean": 0.0011951625347137451, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.4225, | |
| "step": 169 | |
| }, | |
| { | |
| "epoch": 0.425, | |
| "grad_norm": 6.068748950958252, | |
| "learning_rate": 3.0263157894736843e-06, | |
| "loss": 0.3711, | |
| "step": 170 | |
| }, | |
| { | |
| "Batch Mean": -0.23294401168823242, | |
| "accuracy": 0.9375, | |
| "epoch": 0.425, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.4275, | |
| "grad_norm": 5.278029441833496, | |
| "learning_rate": 3.013157894736842e-06, | |
| "loss": 0.237, | |
| "step": 171 | |
| }, | |
| { | |
| "Batch Mean": -0.40133750438690186, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.4275, | |
| "step": 171 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "grad_norm": 7.065173149108887, | |
| "learning_rate": 3e-06, | |
| "loss": 0.4043, | |
| "step": 172 | |
| }, | |
| { | |
| "Batch Mean": 0.1028299331665039, | |
| "accuracy": 0.84375, | |
| "epoch": 0.43, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 0.4325, | |
| "grad_norm": 8.89666748046875, | |
| "learning_rate": 2.986842105263158e-06, | |
| "loss": 0.3427, | |
| "step": 173 | |
| }, | |
| { | |
| "Batch Mean": 0.08979487419128418, | |
| "accuracy": 0.828125, | |
| "epoch": 0.4325, | |
| "step": 173 | |
| }, | |
| { | |
| "epoch": 0.435, | |
| "grad_norm": 5.712543487548828, | |
| "learning_rate": 2.973684210526316e-06, | |
| "loss": 0.3642, | |
| "step": 174 | |
| }, | |
| { | |
| "Batch Mean": 0.6362553834915161, | |
| "accuracy": 0.84375, | |
| "epoch": 0.435, | |
| "step": 174 | |
| }, | |
| { | |
| "epoch": 0.4375, | |
| "grad_norm": 8.968149185180664, | |
| "learning_rate": 2.960526315789474e-06, | |
| "loss": 0.3986, | |
| "step": 175 | |
| }, | |
| { | |
| "Batch Mean": 0.03002166748046875, | |
| "accuracy": 0.8125, | |
| "epoch": 0.4375, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 5.981250286102295, | |
| "learning_rate": 2.9473684210526317e-06, | |
| "loss": 0.371, | |
| "step": 176 | |
| }, | |
| { | |
| "Batch Mean": 0.15925252437591553, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.44, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 0.4425, | |
| "grad_norm": 7.630130290985107, | |
| "learning_rate": 2.93421052631579e-06, | |
| "loss": 0.4573, | |
| "step": 177 | |
| }, | |
| { | |
| "Batch Mean": -0.5218077898025513, | |
| "accuracy": 0.875, | |
| "epoch": 0.4425, | |
| "step": 177 | |
| }, | |
| { | |
| "epoch": 0.445, | |
| "grad_norm": 8.40796184539795, | |
| "learning_rate": 2.921052631578948e-06, | |
| "loss": 0.318, | |
| "step": 178 | |
| }, | |
| { | |
| "Batch Mean": -0.21337127685546875, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.445, | |
| "step": 178 | |
| }, | |
| { | |
| "epoch": 0.4475, | |
| "grad_norm": 6.911371231079102, | |
| "learning_rate": 2.907894736842106e-06, | |
| "loss": 0.3225, | |
| "step": 179 | |
| }, | |
| { | |
| "Batch Mean": -0.4858684539794922, | |
| "accuracy": 0.796875, | |
| "epoch": 0.4475, | |
| "step": 179 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "grad_norm": 7.585726737976074, | |
| "learning_rate": 2.8947368421052634e-06, | |
| "loss": 0.4169, | |
| "step": 180 | |
| }, | |
| { | |
| "Batch Mean": 0.6967126131057739, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.45, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.4525, | |
| "grad_norm": 9.311128616333008, | |
| "learning_rate": 2.8815789473684213e-06, | |
| "loss": 0.3541, | |
| "step": 181 | |
| }, | |
| { | |
| "Batch Mean": 0.40191876888275146, | |
| "accuracy": 0.875, | |
| "epoch": 0.4525, | |
| "step": 181 | |
| }, | |
| { | |
| "epoch": 0.455, | |
| "grad_norm": 6.452785015106201, | |
| "learning_rate": 2.868421052631579e-06, | |
| "loss": 0.2999, | |
| "step": 182 | |
| }, | |
| { | |
| "Batch Mean": 0.35803985595703125, | |
| "accuracy": 0.765625, | |
| "epoch": 0.455, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 0.4575, | |
| "grad_norm": 7.8335418701171875, | |
| "learning_rate": 2.855263157894737e-06, | |
| "loss": 0.4661, | |
| "step": 183 | |
| }, | |
| { | |
| "Batch Mean": -0.17188113927841187, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.4575, | |
| "step": 183 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "grad_norm": 6.696692943572998, | |
| "learning_rate": 2.842105263157895e-06, | |
| "loss": 0.4276, | |
| "step": 184 | |
| }, | |
| { | |
| "Batch Mean": -0.7287430763244629, | |
| "accuracy": 0.8125, | |
| "epoch": 0.46, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 0.4625, | |
| "grad_norm": 9.841276168823242, | |
| "learning_rate": 2.828947368421053e-06, | |
| "loss": 0.4608, | |
| "step": 185 | |
| }, | |
| { | |
| "Batch Mean": -0.4493199586868286, | |
| "accuracy": 0.765625, | |
| "epoch": 0.4625, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.465, | |
| "grad_norm": 6.939754486083984, | |
| "learning_rate": 2.815789473684211e-06, | |
| "loss": 0.385, | |
| "step": 186 | |
| }, | |
| { | |
| "Batch Mean": -0.001141861081123352, | |
| "accuracy": 0.796875, | |
| "epoch": 0.465, | |
| "step": 186 | |
| }, | |
| { | |
| "epoch": 0.4675, | |
| "grad_norm": 5.819330215454102, | |
| "learning_rate": 2.8026315789473683e-06, | |
| "loss": 0.3872, | |
| "step": 187 | |
| }, | |
| { | |
| "Batch Mean": 0.11795490980148315, | |
| "accuracy": 0.8984375, | |
| "epoch": 0.4675, | |
| "step": 187 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 5.095602512359619, | |
| "learning_rate": 2.789473684210526e-06, | |
| "loss": 0.2691, | |
| "step": 188 | |
| }, | |
| { | |
| "Batch Mean": 0.0792817771434784, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.47, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 0.4725, | |
| "grad_norm": 6.671010971069336, | |
| "learning_rate": 2.776315789473684e-06, | |
| "loss": 0.4304, | |
| "step": 189 | |
| }, | |
| { | |
| "Batch Mean": 0.11675047874450684, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.4725, | |
| "step": 189 | |
| }, | |
| { | |
| "epoch": 0.475, | |
| "grad_norm": 5.194698810577393, | |
| "learning_rate": 2.7631578947368424e-06, | |
| "loss": 0.3043, | |
| "step": 190 | |
| }, | |
| { | |
| "Batch Mean": 0.507703423500061, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.475, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.4775, | |
| "grad_norm": 8.995157241821289, | |
| "learning_rate": 2.7500000000000004e-06, | |
| "loss": 0.4023, | |
| "step": 191 | |
| }, | |
| { | |
| "Batch Mean": 0.007342934608459473, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.4775, | |
| "step": 191 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 4.653019428253174, | |
| "learning_rate": 2.7368421052631583e-06, | |
| "loss": 0.2997, | |
| "step": 192 | |
| }, | |
| { | |
| "Batch Mean": -0.11206340789794922, | |
| "accuracy": 0.84375, | |
| "epoch": 0.48, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 0.4825, | |
| "grad_norm": 5.593299388885498, | |
| "learning_rate": 2.723684210526316e-06, | |
| "loss": 0.3592, | |
| "step": 193 | |
| }, | |
| { | |
| "Batch Mean": 0.34449005126953125, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.4825, | |
| "step": 193 | |
| }, | |
| { | |
| "epoch": 0.485, | |
| "grad_norm": 7.729828834533691, | |
| "learning_rate": 2.710526315789474e-06, | |
| "loss": 0.4174, | |
| "step": 194 | |
| }, | |
| { | |
| "Batch Mean": 0.3511536121368408, | |
| "accuracy": 0.796875, | |
| "epoch": 0.485, | |
| "step": 194 | |
| }, | |
| { | |
| "epoch": 0.4875, | |
| "grad_norm": 6.8778791427612305, | |
| "learning_rate": 2.697368421052632e-06, | |
| "loss": 0.3958, | |
| "step": 195 | |
| }, | |
| { | |
| "Batch Mean": -0.4304494857788086, | |
| "accuracy": 0.828125, | |
| "epoch": 0.4875, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "grad_norm": 7.1837897300720215, | |
| "learning_rate": 2.68421052631579e-06, | |
| "loss": 0.3644, | |
| "step": 196 | |
| }, | |
| { | |
| "Batch Mean": -0.5402705669403076, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.49, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 0.4925, | |
| "grad_norm": 7.711959362030029, | |
| "learning_rate": 2.6710526315789474e-06, | |
| "loss": 0.3134, | |
| "step": 197 | |
| }, | |
| { | |
| "Batch Mean": -0.4601917266845703, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.4925, | |
| "step": 197 | |
| }, | |
| { | |
| "epoch": 0.495, | |
| "grad_norm": 7.087433815002441, | |
| "learning_rate": 2.6578947368421053e-06, | |
| "loss": 0.3694, | |
| "step": 198 | |
| }, | |
| { | |
| "Batch Mean": 0.003908276557922363, | |
| "accuracy": 0.859375, | |
| "epoch": 0.495, | |
| "step": 198 | |
| }, | |
| { | |
| "epoch": 0.4975, | |
| "grad_norm": 5.323395252227783, | |
| "learning_rate": 2.644736842105263e-06, | |
| "loss": 0.3269, | |
| "step": 199 | |
| }, | |
| { | |
| "Batch Mean": 0.3632014989852905, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.4975, | |
| "step": 199 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 6.865387439727783, | |
| "learning_rate": 2.631578947368421e-06, | |
| "loss": 0.3261, | |
| "step": 200 | |
| }, | |
| { | |
| "Batch Mean": 0.3652181625366211, | |
| "accuracy": 0.796875, | |
| "epoch": 0.5, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.5025, | |
| "grad_norm": 7.002910614013672, | |
| "learning_rate": 2.618421052631579e-06, | |
| "loss": 0.4199, | |
| "step": 201 | |
| }, | |
| { | |
| "Batch Mean": -0.0046329498291015625, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.5025, | |
| "step": 201 | |
| }, | |
| { | |
| "epoch": 0.505, | |
| "grad_norm": 6.56704044342041, | |
| "learning_rate": 2.605263157894737e-06, | |
| "loss": 0.323, | |
| "step": 202 | |
| }, | |
| { | |
| "Batch Mean": 0.0460200309753418, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.505, | |
| "step": 202 | |
| }, | |
| { | |
| "epoch": 0.5075, | |
| "grad_norm": 5.225709438323975, | |
| "learning_rate": 2.592105263157895e-06, | |
| "loss": 0.3021, | |
| "step": 203 | |
| }, | |
| { | |
| "Batch Mean": 0.11225366592407227, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.5075, | |
| "step": 203 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "grad_norm": 6.092679023742676, | |
| "learning_rate": 2.578947368421053e-06, | |
| "loss": 0.3584, | |
| "step": 204 | |
| }, | |
| { | |
| "Batch Mean": -0.08475446701049805, | |
| "accuracy": 0.8125, | |
| "epoch": 0.51, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 0.5125, | |
| "grad_norm": 6.27672004699707, | |
| "learning_rate": 2.565789473684211e-06, | |
| "loss": 0.3787, | |
| "step": 205 | |
| }, | |
| { | |
| "Batch Mean": 0.041245490312576294, | |
| "accuracy": 0.8125, | |
| "epoch": 0.5125, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.515, | |
| "grad_norm": 6.466290473937988, | |
| "learning_rate": 2.552631578947369e-06, | |
| "loss": 0.422, | |
| "step": 206 | |
| }, | |
| { | |
| "Batch Mean": -0.4405149221420288, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.515, | |
| "step": 206 | |
| }, | |
| { | |
| "epoch": 0.5175, | |
| "grad_norm": 6.9925456047058105, | |
| "learning_rate": 2.5394736842105265e-06, | |
| "loss": 0.3365, | |
| "step": 207 | |
| }, | |
| { | |
| "Batch Mean": -0.3760061264038086, | |
| "accuracy": 0.875, | |
| "epoch": 0.5175, | |
| "step": 207 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 6.5773844718933105, | |
| "learning_rate": 2.5263157894736844e-06, | |
| "loss": 0.3214, | |
| "step": 208 | |
| }, | |
| { | |
| "Batch Mean": 0.4471302032470703, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.52, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 0.5225, | |
| "grad_norm": 7.389886379241943, | |
| "learning_rate": 2.5131578947368423e-06, | |
| "loss": 0.3702, | |
| "step": 209 | |
| }, | |
| { | |
| "Batch Mean": 0.08597373962402344, | |
| "accuracy": 0.828125, | |
| "epoch": 0.5225, | |
| "step": 209 | |
| }, | |
| { | |
| "epoch": 0.525, | |
| "grad_norm": 6.150123119354248, | |
| "learning_rate": 2.5e-06, | |
| "loss": 0.4026, | |
| "step": 210 | |
| }, | |
| { | |
| "Batch Mean": 0.20080137252807617, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.525, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.5275, | |
| "grad_norm": 6.605398654937744, | |
| "learning_rate": 2.486842105263158e-06, | |
| "loss": 0.4046, | |
| "step": 211 | |
| }, | |
| { | |
| "Batch Mean": 0.03975629806518555, | |
| "accuracy": 0.8125, | |
| "epoch": 0.5275, | |
| "step": 211 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 6.139669418334961, | |
| "learning_rate": 2.473684210526316e-06, | |
| "loss": 0.3858, | |
| "step": 212 | |
| }, | |
| { | |
| "Batch Mean": 0.08810865879058838, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.53, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 0.5325, | |
| "grad_norm": 7.48892068862915, | |
| "learning_rate": 2.460526315789474e-06, | |
| "loss": 0.5241, | |
| "step": 213 | |
| }, | |
| { | |
| "Batch Mean": 0.02453136444091797, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.5325, | |
| "step": 213 | |
| }, | |
| { | |
| "epoch": 0.535, | |
| "grad_norm": 5.409359455108643, | |
| "learning_rate": 2.447368421052632e-06, | |
| "loss": 0.3785, | |
| "step": 214 | |
| }, | |
| { | |
| "Batch Mean": -0.385115385055542, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.535, | |
| "step": 214 | |
| }, | |
| { | |
| "epoch": 0.5375, | |
| "grad_norm": 6.92533540725708, | |
| "learning_rate": 2.4342105263157898e-06, | |
| "loss": 0.4084, | |
| "step": 215 | |
| }, | |
| { | |
| "Batch Mean": -0.4509839415550232, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.5375, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "grad_norm": 6.682870388031006, | |
| "learning_rate": 2.4210526315789477e-06, | |
| "loss": 0.3596, | |
| "step": 216 | |
| }, | |
| { | |
| "Batch Mean": -0.1237635612487793, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.54, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 0.5425, | |
| "grad_norm": 5.399717330932617, | |
| "learning_rate": 2.4078947368421056e-06, | |
| "loss": 0.3281, | |
| "step": 217 | |
| }, | |
| { | |
| "Batch Mean": 0.13233089447021484, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.5425, | |
| "step": 217 | |
| }, | |
| { | |
| "epoch": 0.545, | |
| "grad_norm": 5.121485233306885, | |
| "learning_rate": 2.3947368421052635e-06, | |
| "loss": 0.3375, | |
| "step": 218 | |
| }, | |
| { | |
| "Batch Mean": 0.2012614607810974, | |
| "accuracy": 0.859375, | |
| "epoch": 0.545, | |
| "step": 218 | |
| }, | |
| { | |
| "epoch": 0.5475, | |
| "grad_norm": 4.99008846282959, | |
| "learning_rate": 2.381578947368421e-06, | |
| "loss": 0.3365, | |
| "step": 219 | |
| }, | |
| { | |
| "Batch Mean": 0.5368151664733887, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.5475, | |
| "step": 219 | |
| }, | |
| { | |
| "epoch": 0.55, | |
| "grad_norm": 6.544676303863525, | |
| "learning_rate": 2.368421052631579e-06, | |
| "loss": 0.3187, | |
| "step": 220 | |
| }, | |
| { | |
| "Batch Mean": 0.022375822067260742, | |
| "accuracy": 0.828125, | |
| "epoch": 0.55, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.5525, | |
| "grad_norm": 6.009125232696533, | |
| "learning_rate": 2.355263157894737e-06, | |
| "loss": 0.3904, | |
| "step": 221 | |
| }, | |
| { | |
| "Batch Mean": 0.28800055384635925, | |
| "accuracy": 0.8125, | |
| "epoch": 0.5525, | |
| "step": 221 | |
| }, | |
| { | |
| "epoch": 0.555, | |
| "grad_norm": 6.6932268142700195, | |
| "learning_rate": 2.342105263157895e-06, | |
| "loss": 0.4334, | |
| "step": 222 | |
| }, | |
| { | |
| "Batch Mean": -0.05706942081451416, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.555, | |
| "step": 222 | |
| }, | |
| { | |
| "epoch": 0.5575, | |
| "grad_norm": 5.802476406097412, | |
| "learning_rate": 2.328947368421053e-06, | |
| "loss": 0.4048, | |
| "step": 223 | |
| }, | |
| { | |
| "Batch Mean": -0.35072553157806396, | |
| "accuracy": 0.84375, | |
| "epoch": 0.5575, | |
| "step": 223 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 6.107337474822998, | |
| "learning_rate": 2.3157894736842105e-06, | |
| "loss": 0.3219, | |
| "step": 224 | |
| }, | |
| { | |
| "Batch Mean": -0.7369738817214966, | |
| "accuracy": 0.7734375, | |
| "epoch": 0.56, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 0.5625, | |
| "grad_norm": 9.2208890914917, | |
| "learning_rate": 2.3026315789473684e-06, | |
| "loss": 0.4371, | |
| "step": 225 | |
| }, | |
| { | |
| "Batch Mean": -0.1235361099243164, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.5625, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.565, | |
| "grad_norm": 5.8800506591796875, | |
| "learning_rate": 2.2894736842105263e-06, | |
| "loss": 0.3281, | |
| "step": 226 | |
| }, | |
| { | |
| "Batch Mean": -0.03460812568664551, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.565, | |
| "step": 226 | |
| }, | |
| { | |
| "epoch": 0.5675, | |
| "grad_norm": 6.368298053741455, | |
| "learning_rate": 2.2763157894736847e-06, | |
| "loss": 0.2906, | |
| "step": 227 | |
| }, | |
| { | |
| "Batch Mean": 0.3625354766845703, | |
| "accuracy": 0.7265625, | |
| "epoch": 0.5675, | |
| "step": 227 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 8.628252983093262, | |
| "learning_rate": 2.2631578947368426e-06, | |
| "loss": 0.5205, | |
| "step": 228 | |
| }, | |
| { | |
| "Batch Mean": 0.08192723989486694, | |
| "accuracy": 0.7578125, | |
| "epoch": 0.57, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 0.5725, | |
| "grad_norm": 6.3980512619018555, | |
| "learning_rate": 2.25e-06, | |
| "loss": 0.4337, | |
| "step": 229 | |
| }, | |
| { | |
| "Batch Mean": -0.2664133310317993, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.5725, | |
| "step": 229 | |
| }, | |
| { | |
| "epoch": 0.575, | |
| "grad_norm": 6.476391315460205, | |
| "learning_rate": 2.236842105263158e-06, | |
| "loss": 0.3604, | |
| "step": 230 | |
| }, | |
| { | |
| "Batch Mean": 0.4527122974395752, | |
| "accuracy": 0.796875, | |
| "epoch": 0.575, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.5775, | |
| "grad_norm": 8.095312118530273, | |
| "learning_rate": 2.223684210526316e-06, | |
| "loss": 0.4297, | |
| "step": 231 | |
| }, | |
| { | |
| "Batch Mean": -0.08241510391235352, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.5775, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "grad_norm": 5.840095043182373, | |
| "learning_rate": 2.2105263157894738e-06, | |
| "loss": 0.3712, | |
| "step": 232 | |
| }, | |
| { | |
| "Batch Mean": 0.04206228256225586, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.58, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 0.5825, | |
| "grad_norm": 5.922440528869629, | |
| "learning_rate": 2.1973684210526317e-06, | |
| "loss": 0.3937, | |
| "step": 233 | |
| }, | |
| { | |
| "Batch Mean": -0.1112813949584961, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.5825, | |
| "step": 233 | |
| }, | |
| { | |
| "epoch": 0.585, | |
| "grad_norm": 4.804201126098633, | |
| "learning_rate": 2.1842105263157896e-06, | |
| "loss": 0.2852, | |
| "step": 234 | |
| }, | |
| { | |
| "Batch Mean": 0.18291091918945312, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.585, | |
| "step": 234 | |
| }, | |
| { | |
| "epoch": 0.5875, | |
| "grad_norm": 6.333522796630859, | |
| "learning_rate": 2.1710526315789475e-06, | |
| "loss": 0.3854, | |
| "step": 235 | |
| }, | |
| { | |
| "Batch Mean": 0.20920276641845703, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.5875, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "grad_norm": 5.435009479522705, | |
| "learning_rate": 2.1578947368421054e-06, | |
| "loss": 0.3728, | |
| "step": 236 | |
| }, | |
| { | |
| "Batch Mean": -0.10450601577758789, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.59, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 0.5925, | |
| "grad_norm": 4.914745330810547, | |
| "learning_rate": 2.1447368421052633e-06, | |
| "loss": 0.3217, | |
| "step": 237 | |
| }, | |
| { | |
| "Batch Mean": -0.7518494129180908, | |
| "accuracy": 0.8125, | |
| "epoch": 0.5925, | |
| "step": 237 | |
| }, | |
| { | |
| "epoch": 0.595, | |
| "grad_norm": 9.58519172668457, | |
| "learning_rate": 2.1315789473684212e-06, | |
| "loss": 0.3795, | |
| "step": 238 | |
| }, | |
| { | |
| "Batch Mean": 0.0718802809715271, | |
| "accuracy": 0.859375, | |
| "epoch": 0.595, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 0.5975, | |
| "grad_norm": 5.099031448364258, | |
| "learning_rate": 2.118421052631579e-06, | |
| "loss": 0.3308, | |
| "step": 239 | |
| }, | |
| { | |
| "Batch Mean": 0.4419422149658203, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.5975, | |
| "step": 239 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 11.365894317626953, | |
| "learning_rate": 2.105263157894737e-06, | |
| "loss": 0.418, | |
| "step": 240 | |
| }, | |
| { | |
| "Batch Mean": 0.03586006164550781, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.6, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.6025, | |
| "grad_norm": 5.9789958000183105, | |
| "learning_rate": 2.092105263157895e-06, | |
| "loss": 0.4069, | |
| "step": 241 | |
| }, | |
| { | |
| "Batch Mean": 0.29011332988739014, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.6025, | |
| "step": 241 | |
| }, | |
| { | |
| "epoch": 0.605, | |
| "grad_norm": 5.794040203094482, | |
| "learning_rate": 2.078947368421053e-06, | |
| "loss": 0.3484, | |
| "step": 242 | |
| }, | |
| { | |
| "Batch Mean": -0.5499505996704102, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.605, | |
| "step": 242 | |
| }, | |
| { | |
| "epoch": 0.6075, | |
| "grad_norm": 8.262065887451172, | |
| "learning_rate": 2.0657894736842108e-06, | |
| "loss": 0.31, | |
| "step": 243 | |
| }, | |
| { | |
| "Batch Mean": 0.24885821342468262, | |
| "accuracy": 0.828125, | |
| "epoch": 0.6075, | |
| "step": 243 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "grad_norm": 6.190489292144775, | |
| "learning_rate": 2.0526315789473687e-06, | |
| "loss": 0.3916, | |
| "step": 244 | |
| }, | |
| { | |
| "Batch Mean": -0.26743316650390625, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.61, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 0.6125, | |
| "grad_norm": 6.024500846862793, | |
| "learning_rate": 2.0394736842105266e-06, | |
| "loss": 0.3776, | |
| "step": 245 | |
| }, | |
| { | |
| "Batch Mean": -0.23404550552368164, | |
| "accuracy": 0.7421875, | |
| "epoch": 0.6125, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.615, | |
| "grad_norm": 7.985998630523682, | |
| "learning_rate": 2.026315789473684e-06, | |
| "loss": 0.534, | |
| "step": 246 | |
| }, | |
| { | |
| "Batch Mean": -0.15702039003372192, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.615, | |
| "step": 246 | |
| }, | |
| { | |
| "epoch": 0.6175, | |
| "grad_norm": 5.515955924987793, | |
| "learning_rate": 2.013157894736842e-06, | |
| "loss": 0.3521, | |
| "step": 247 | |
| }, | |
| { | |
| "Batch Mean": 0.08024978637695312, | |
| "accuracy": 0.8125, | |
| "epoch": 0.6175, | |
| "step": 247 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "grad_norm": 5.263201713562012, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 0.3411, | |
| "step": 248 | |
| }, | |
| { | |
| "Batch Mean": 0.4128882884979248, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.62, | |
| "step": 248 | |
| }, | |
| { | |
| "epoch": 0.6225, | |
| "grad_norm": 6.7587103843688965, | |
| "learning_rate": 1.9868421052631582e-06, | |
| "loss": 0.415, | |
| "step": 249 | |
| }, | |
| { | |
| "Batch Mean": 0.2651102542877197, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.6225, | |
| "step": 249 | |
| }, | |
| { | |
| "epoch": 0.625, | |
| "grad_norm": 5.891829013824463, | |
| "learning_rate": 1.973684210526316e-06, | |
| "loss": 0.3854, | |
| "step": 250 | |
| }, | |
| { | |
| "Batch Mean": 0.06268704682588577, | |
| "accuracy": 0.859375, | |
| "epoch": 0.625, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.6275, | |
| "grad_norm": 4.907006740570068, | |
| "learning_rate": 1.9605263157894736e-06, | |
| "loss": 0.3142, | |
| "step": 251 | |
| }, | |
| { | |
| "Batch Mean": 0.009827375411987305, | |
| "accuracy": 0.84375, | |
| "epoch": 0.6275, | |
| "step": 251 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 5.065036296844482, | |
| "learning_rate": 1.9473684210526315e-06, | |
| "loss": 0.366, | |
| "step": 252 | |
| }, | |
| { | |
| "Batch Mean": -0.12906122207641602, | |
| "accuracy": 0.859375, | |
| "epoch": 0.63, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 0.6325, | |
| "grad_norm": 4.897366523742676, | |
| "learning_rate": 1.9342105263157895e-06, | |
| "loss": 0.3514, | |
| "step": 253 | |
| }, | |
| { | |
| "Batch Mean": -0.2323474884033203, | |
| "accuracy": 0.8125, | |
| "epoch": 0.6325, | |
| "step": 253 | |
| }, | |
| { | |
| "epoch": 0.635, | |
| "grad_norm": 5.733254909515381, | |
| "learning_rate": 1.9210526315789474e-06, | |
| "loss": 0.3787, | |
| "step": 254 | |
| }, | |
| { | |
| "Batch Mean": -0.1317148208618164, | |
| "accuracy": 0.75, | |
| "epoch": 0.635, | |
| "step": 254 | |
| }, | |
| { | |
| "epoch": 0.6375, | |
| "grad_norm": 6.474262714385986, | |
| "learning_rate": 1.9078947368421057e-06, | |
| "loss": 0.4739, | |
| "step": 255 | |
| }, | |
| { | |
| "Batch Mean": -0.0393298864364624, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.6375, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 4.841159820556641, | |
| "learning_rate": 1.8947368421052634e-06, | |
| "loss": 0.3731, | |
| "step": 256 | |
| }, | |
| { | |
| "Batch Mean": 0.10869312286376953, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.64, | |
| "step": 256 | |
| }, | |
| { | |
| "epoch": 0.6425, | |
| "grad_norm": 5.361686706542969, | |
| "learning_rate": 1.8815789473684213e-06, | |
| "loss": 0.3779, | |
| "step": 257 | |
| }, | |
| { | |
| "Batch Mean": 0.0021914541721343994, | |
| "accuracy": 0.8125, | |
| "epoch": 0.6425, | |
| "step": 257 | |
| }, | |
| { | |
| "epoch": 0.645, | |
| "grad_norm": 4.836275100708008, | |
| "learning_rate": 1.868421052631579e-06, | |
| "loss": 0.3551, | |
| "step": 258 | |
| }, | |
| { | |
| "Batch Mean": -0.3041563034057617, | |
| "accuracy": 0.8125, | |
| "epoch": 0.645, | |
| "step": 258 | |
| }, | |
| { | |
| "epoch": 0.6475, | |
| "grad_norm": 5.775440692901611, | |
| "learning_rate": 1.855263157894737e-06, | |
| "loss": 0.3664, | |
| "step": 259 | |
| }, | |
| { | |
| "Batch Mean": 0.22134876251220703, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.6475, | |
| "step": 259 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "grad_norm": 5.312914848327637, | |
| "learning_rate": 1.8421052631578948e-06, | |
| "loss": 0.3658, | |
| "step": 260 | |
| }, | |
| { | |
| "Batch Mean": -0.03800356388092041, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.65, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.6525, | |
| "grad_norm": 4.872611045837402, | |
| "learning_rate": 1.828947368421053e-06, | |
| "loss": 0.3535, | |
| "step": 261 | |
| }, | |
| { | |
| "Batch Mean": 0.17658138275146484, | |
| "accuracy": 0.84375, | |
| "epoch": 0.6525, | |
| "step": 261 | |
| }, | |
| { | |
| "epoch": 0.655, | |
| "grad_norm": 5.4620280265808105, | |
| "learning_rate": 1.8157894736842109e-06, | |
| "loss": 0.3634, | |
| "step": 262 | |
| }, | |
| { | |
| "Batch Mean": -0.46340298652648926, | |
| "accuracy": 0.84375, | |
| "epoch": 0.655, | |
| "step": 262 | |
| }, | |
| { | |
| "epoch": 0.6575, | |
| "grad_norm": 7.282100200653076, | |
| "learning_rate": 1.8026315789473685e-06, | |
| "loss": 0.4022, | |
| "step": 263 | |
| }, | |
| { | |
| "Batch Mean": -0.3810725212097168, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.6575, | |
| "step": 263 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 6.1263227462768555, | |
| "learning_rate": 1.7894736842105265e-06, | |
| "loss": 0.3521, | |
| "step": 264 | |
| }, | |
| { | |
| "Batch Mean": -0.06390047073364258, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.66, | |
| "step": 264 | |
| }, | |
| { | |
| "epoch": 0.6625, | |
| "grad_norm": 5.438608646392822, | |
| "learning_rate": 1.7763157894736844e-06, | |
| "loss": 0.3473, | |
| "step": 265 | |
| }, | |
| { | |
| "Batch Mean": 0.591982364654541, | |
| "accuracy": 0.8125, | |
| "epoch": 0.6625, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 0.665, | |
| "grad_norm": 8.58743667602539, | |
| "learning_rate": 1.7631578947368423e-06, | |
| "loss": 0.4313, | |
| "step": 266 | |
| }, | |
| { | |
| "Batch Mean": 0.41609740257263184, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.665, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 0.6675, | |
| "grad_norm": 6.497260570526123, | |
| "learning_rate": 1.75e-06, | |
| "loss": 0.289, | |
| "step": 267 | |
| }, | |
| { | |
| "Batch Mean": 0.10641050338745117, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.6675, | |
| "step": 267 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "grad_norm": 6.662869930267334, | |
| "learning_rate": 1.736842105263158e-06, | |
| "loss": 0.3987, | |
| "step": 268 | |
| }, | |
| { | |
| "Batch Mean": 0.5242280960083008, | |
| "accuracy": 0.8125, | |
| "epoch": 0.67, | |
| "step": 268 | |
| }, | |
| { | |
| "epoch": 0.6725, | |
| "grad_norm": 7.127610206604004, | |
| "learning_rate": 1.723684210526316e-06, | |
| "loss": 0.3469, | |
| "step": 269 | |
| }, | |
| { | |
| "Batch Mean": 0.22644498944282532, | |
| "accuracy": 0.875, | |
| "epoch": 0.6725, | |
| "step": 269 | |
| }, | |
| { | |
| "epoch": 0.675, | |
| "grad_norm": 5.849222183227539, | |
| "learning_rate": 1.710526315789474e-06, | |
| "loss": 0.3443, | |
| "step": 270 | |
| }, | |
| { | |
| "Batch Mean": -0.5374040603637695, | |
| "accuracy": 0.875, | |
| "epoch": 0.675, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.6775, | |
| "grad_norm": 7.3331990242004395, | |
| "learning_rate": 1.6973684210526318e-06, | |
| "loss": 0.3233, | |
| "step": 271 | |
| }, | |
| { | |
| "Batch Mean": -0.5392742156982422, | |
| "accuracy": 0.859375, | |
| "epoch": 0.6775, | |
| "step": 271 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 8.307405471801758, | |
| "learning_rate": 1.6842105263157895e-06, | |
| "loss": 0.3344, | |
| "step": 272 | |
| }, | |
| { | |
| "Batch Mean": -0.2637630105018616, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.68, | |
| "step": 272 | |
| }, | |
| { | |
| "epoch": 0.6825, | |
| "grad_norm": 6.486652374267578, | |
| "learning_rate": 1.6710526315789474e-06, | |
| "loss": 0.3553, | |
| "step": 273 | |
| }, | |
| { | |
| "Batch Mean": -0.19452619552612305, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.6825, | |
| "step": 273 | |
| }, | |
| { | |
| "epoch": 0.685, | |
| "grad_norm": 5.73057222366333, | |
| "learning_rate": 1.6578947368421053e-06, | |
| "loss": 0.3737, | |
| "step": 274 | |
| }, | |
| { | |
| "Batch Mean": 0.2827339172363281, | |
| "accuracy": 0.828125, | |
| "epoch": 0.685, | |
| "step": 274 | |
| }, | |
| { | |
| "epoch": 0.6875, | |
| "grad_norm": 6.780818939208984, | |
| "learning_rate": 1.6447368421052635e-06, | |
| "loss": 0.3521, | |
| "step": 275 | |
| }, | |
| { | |
| "Batch Mean": 0.45183420181274414, | |
| "accuracy": 0.84375, | |
| "epoch": 0.6875, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 8.210237503051758, | |
| "learning_rate": 1.6315789473684212e-06, | |
| "loss": 0.4362, | |
| "step": 276 | |
| }, | |
| { | |
| "Batch Mean": 0.2845495939254761, | |
| "accuracy": 0.765625, | |
| "epoch": 0.69, | |
| "step": 276 | |
| }, | |
| { | |
| "epoch": 0.6925, | |
| "grad_norm": 7.878791332244873, | |
| "learning_rate": 1.618421052631579e-06, | |
| "loss": 0.4695, | |
| "step": 277 | |
| }, | |
| { | |
| "Batch Mean": 0.24765238165855408, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.6925, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 0.695, | |
| "grad_norm": 6.432671070098877, | |
| "learning_rate": 1.605263157894737e-06, | |
| "loss": 0.3256, | |
| "step": 278 | |
| }, | |
| { | |
| "Batch Mean": -0.01769864559173584, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.695, | |
| "step": 278 | |
| }, | |
| { | |
| "epoch": 0.6975, | |
| "grad_norm": 6.705868721008301, | |
| "learning_rate": 1.5921052631578949e-06, | |
| "loss": 0.3824, | |
| "step": 279 | |
| }, | |
| { | |
| "Batch Mean": -0.5642671585083008, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.6975, | |
| "step": 279 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "grad_norm": 7.755029201507568, | |
| "learning_rate": 1.5789473684210526e-06, | |
| "loss": 0.349, | |
| "step": 280 | |
| }, | |
| { | |
| "Batch Mean": -0.49985718727111816, | |
| "accuracy": 0.8125, | |
| "epoch": 0.7, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.7025, | |
| "grad_norm": 8.260653495788574, | |
| "learning_rate": 1.5657894736842105e-06, | |
| "loss": 0.438, | |
| "step": 281 | |
| }, | |
| { | |
| "Batch Mean": -0.30716943740844727, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.7025, | |
| "step": 281 | |
| }, | |
| { | |
| "epoch": 0.705, | |
| "grad_norm": 6.337352752685547, | |
| "learning_rate": 1.5526315789473686e-06, | |
| "loss": 0.3346, | |
| "step": 282 | |
| }, | |
| { | |
| "Batch Mean": 0.08174550533294678, | |
| "accuracy": 0.828125, | |
| "epoch": 0.705, | |
| "step": 282 | |
| }, | |
| { | |
| "epoch": 0.7075, | |
| "grad_norm": 5.9810380935668945, | |
| "learning_rate": 1.5394736842105265e-06, | |
| "loss": 0.3852, | |
| "step": 283 | |
| }, | |
| { | |
| "Batch Mean": 0.15669594705104828, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.7075, | |
| "step": 283 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "grad_norm": 5.605470657348633, | |
| "learning_rate": 1.5263157894736844e-06, | |
| "loss": 0.3186, | |
| "step": 284 | |
| }, | |
| { | |
| "Batch Mean": -0.0030188560485839844, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.71, | |
| "step": 284 | |
| }, | |
| { | |
| "epoch": 0.7125, | |
| "grad_norm": 5.514898300170898, | |
| "learning_rate": 1.5131578947368421e-06, | |
| "loss": 0.3126, | |
| "step": 285 | |
| }, | |
| { | |
| "Batch Mean": 0.1930232048034668, | |
| "accuracy": 0.84375, | |
| "epoch": 0.7125, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 0.715, | |
| "grad_norm": 6.415936470031738, | |
| "learning_rate": 1.5e-06, | |
| "loss": 0.3649, | |
| "step": 286 | |
| }, | |
| { | |
| "Batch Mean": 0.2962369918823242, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.715, | |
| "step": 286 | |
| }, | |
| { | |
| "epoch": 0.7175, | |
| "grad_norm": 6.742696285247803, | |
| "learning_rate": 1.486842105263158e-06, | |
| "loss": 0.3298, | |
| "step": 287 | |
| }, | |
| { | |
| "Batch Mean": -0.0600665807723999, | |
| "accuracy": 0.78125, | |
| "epoch": 0.7175, | |
| "step": 287 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 5.89642858505249, | |
| "learning_rate": 1.4736842105263159e-06, | |
| "loss": 0.4032, | |
| "step": 288 | |
| }, | |
| { | |
| "Batch Mean": -0.012648344039916992, | |
| "accuracy": 0.890625, | |
| "epoch": 0.72, | |
| "step": 288 | |
| }, | |
| { | |
| "epoch": 0.7225, | |
| "grad_norm": 4.926860809326172, | |
| "learning_rate": 1.460526315789474e-06, | |
| "loss": 0.2753, | |
| "step": 289 | |
| }, | |
| { | |
| "Batch Mean": -0.09966588020324707, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.7225, | |
| "step": 289 | |
| }, | |
| { | |
| "epoch": 0.725, | |
| "grad_norm": 6.0810394287109375, | |
| "learning_rate": 1.4473684210526317e-06, | |
| "loss": 0.3398, | |
| "step": 290 | |
| }, | |
| { | |
| "Batch Mean": 0.2990548014640808, | |
| "accuracy": 0.8125, | |
| "epoch": 0.725, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.7275, | |
| "grad_norm": 6.704870223999023, | |
| "learning_rate": 1.4342105263157896e-06, | |
| "loss": 0.3789, | |
| "step": 291 | |
| }, | |
| { | |
| "Batch Mean": -0.30427980422973633, | |
| "accuracy": 0.78125, | |
| "epoch": 0.7275, | |
| "step": 291 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "grad_norm": 7.633101940155029, | |
| "learning_rate": 1.4210526315789475e-06, | |
| "loss": 0.4531, | |
| "step": 292 | |
| }, | |
| { | |
| "Batch Mean": -0.5276459455490112, | |
| "accuracy": 0.765625, | |
| "epoch": 0.73, | |
| "step": 292 | |
| }, | |
| { | |
| "epoch": 0.7325, | |
| "grad_norm": 7.3620829582214355, | |
| "learning_rate": 1.4078947368421054e-06, | |
| "loss": 0.4443, | |
| "step": 293 | |
| }, | |
| { | |
| "Batch Mean": 0.03517109155654907, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.7325, | |
| "step": 293 | |
| }, | |
| { | |
| "epoch": 0.735, | |
| "grad_norm": 5.785881996154785, | |
| "learning_rate": 1.394736842105263e-06, | |
| "loss": 0.314, | |
| "step": 294 | |
| }, | |
| { | |
| "Batch Mean": 0.1681404411792755, | |
| "accuracy": 0.8125, | |
| "epoch": 0.735, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 0.7375, | |
| "grad_norm": 6.820896148681641, | |
| "learning_rate": 1.3815789473684212e-06, | |
| "loss": 0.3912, | |
| "step": 295 | |
| }, | |
| { | |
| "Batch Mean": -0.14338159561157227, | |
| "accuracy": 0.84375, | |
| "epoch": 0.7375, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 5.598686695098877, | |
| "learning_rate": 1.3684210526315791e-06, | |
| "loss": 0.3388, | |
| "step": 296 | |
| }, | |
| { | |
| "Batch Mean": 0.2691183090209961, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.74, | |
| "step": 296 | |
| }, | |
| { | |
| "epoch": 0.7425, | |
| "grad_norm": 6.6116204261779785, | |
| "learning_rate": 1.355263157894737e-06, | |
| "loss": 0.3936, | |
| "step": 297 | |
| }, | |
| { | |
| "Batch Mean": 0.0850672721862793, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.7425, | |
| "step": 297 | |
| }, | |
| { | |
| "epoch": 0.745, | |
| "grad_norm": 5.332149028778076, | |
| "learning_rate": 1.342105263157895e-06, | |
| "loss": 0.3688, | |
| "step": 298 | |
| }, | |
| { | |
| "Batch Mean": 0.010596275329589844, | |
| "accuracy": 0.8125, | |
| "epoch": 0.745, | |
| "step": 298 | |
| }, | |
| { | |
| "epoch": 0.7475, | |
| "grad_norm": 5.3448333740234375, | |
| "learning_rate": 1.3289473684210526e-06, | |
| "loss": 0.3777, | |
| "step": 299 | |
| }, | |
| { | |
| "Batch Mean": 0.0567474365234375, | |
| "accuracy": 0.875, | |
| "epoch": 0.7475, | |
| "step": 299 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 5.18348503112793, | |
| "learning_rate": 1.3157894736842106e-06, | |
| "loss": 0.3376, | |
| "step": 300 | |
| }, | |
| { | |
| "Batch Mean": 0.3150123357772827, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.75, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.7525, | |
| "grad_norm": 5.695895671844482, | |
| "learning_rate": 1.3026315789473685e-06, | |
| "loss": 0.3239, | |
| "step": 301 | |
| }, | |
| { | |
| "Batch Mean": -0.2845635414123535, | |
| "accuracy": 0.84375, | |
| "epoch": 0.7525, | |
| "step": 301 | |
| }, | |
| { | |
| "epoch": 0.755, | |
| "grad_norm": 5.938024997711182, | |
| "learning_rate": 1.2894736842105266e-06, | |
| "loss": 0.3474, | |
| "step": 302 | |
| }, | |
| { | |
| "Batch Mean": -0.23464512825012207, | |
| "accuracy": 0.828125, | |
| "epoch": 0.755, | |
| "step": 302 | |
| }, | |
| { | |
| "epoch": 0.7575, | |
| "grad_norm": 6.142772674560547, | |
| "learning_rate": 1.2763157894736845e-06, | |
| "loss": 0.3871, | |
| "step": 303 | |
| }, | |
| { | |
| "Batch Mean": -0.227769136428833, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.7575, | |
| "step": 303 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 5.593533039093018, | |
| "learning_rate": 1.2631578947368422e-06, | |
| "loss": 0.3141, | |
| "step": 304 | |
| }, | |
| { | |
| "Batch Mean": 0.30762624740600586, | |
| "accuracy": 0.875, | |
| "epoch": 0.76, | |
| "step": 304 | |
| }, | |
| { | |
| "epoch": 0.7625, | |
| "grad_norm": 5.888352870941162, | |
| "learning_rate": 1.25e-06, | |
| "loss": 0.2934, | |
| "step": 305 | |
| }, | |
| { | |
| "Batch Mean": 0.0720512866973877, | |
| "accuracy": 0.828125, | |
| "epoch": 0.7625, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 0.765, | |
| "grad_norm": 5.541831970214844, | |
| "learning_rate": 1.236842105263158e-06, | |
| "loss": 0.377, | |
| "step": 306 | |
| }, | |
| { | |
| "Batch Mean": 0.5506090521812439, | |
| "accuracy": 0.78125, | |
| "epoch": 0.765, | |
| "step": 306 | |
| }, | |
| { | |
| "epoch": 0.7675, | |
| "grad_norm": 8.604269981384277, | |
| "learning_rate": 1.223684210526316e-06, | |
| "loss": 0.4982, | |
| "step": 307 | |
| }, | |
| { | |
| "Batch Mean": 0.12272977828979492, | |
| "accuracy": 0.828125, | |
| "epoch": 0.7675, | |
| "step": 307 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "grad_norm": 5.901643753051758, | |
| "learning_rate": 1.2105263157894738e-06, | |
| "loss": 0.3943, | |
| "step": 308 | |
| }, | |
| { | |
| "Batch Mean": -0.10920721292495728, | |
| "accuracy": 0.8125, | |
| "epoch": 0.77, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 0.7725, | |
| "grad_norm": 5.373671054840088, | |
| "learning_rate": 1.1973684210526317e-06, | |
| "loss": 0.3375, | |
| "step": 309 | |
| }, | |
| { | |
| "Batch Mean": -0.25300323963165283, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.7725, | |
| "step": 309 | |
| }, | |
| { | |
| "epoch": 0.775, | |
| "grad_norm": 5.715999126434326, | |
| "learning_rate": 1.1842105263157894e-06, | |
| "loss": 0.3147, | |
| "step": 310 | |
| }, | |
| { | |
| "Batch Mean": 0.27323639392852783, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.775, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.7775, | |
| "grad_norm": 5.806972503662109, | |
| "learning_rate": 1.1710526315789476e-06, | |
| "loss": 0.3623, | |
| "step": 311 | |
| }, | |
| { | |
| "Batch Mean": -0.370880126953125, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.7775, | |
| "step": 311 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "grad_norm": 6.533487319946289, | |
| "learning_rate": 1.1578947368421053e-06, | |
| "loss": 0.3421, | |
| "step": 312 | |
| }, | |
| { | |
| "Batch Mean": -0.19013309478759766, | |
| "accuracy": 0.84375, | |
| "epoch": 0.78, | |
| "step": 312 | |
| }, | |
| { | |
| "epoch": 0.7825, | |
| "grad_norm": 6.225650787353516, | |
| "learning_rate": 1.1447368421052632e-06, | |
| "loss": 0.3852, | |
| "step": 313 | |
| }, | |
| { | |
| "Batch Mean": 0.035245418548583984, | |
| "accuracy": 0.90625, | |
| "epoch": 0.7825, | |
| "step": 313 | |
| }, | |
| { | |
| "epoch": 0.785, | |
| "grad_norm": 4.540152549743652, | |
| "learning_rate": 1.1315789473684213e-06, | |
| "loss": 0.2876, | |
| "step": 314 | |
| }, | |
| { | |
| "Batch Mean": -0.015190362930297852, | |
| "accuracy": 0.796875, | |
| "epoch": 0.785, | |
| "step": 314 | |
| }, | |
| { | |
| "epoch": 0.7875, | |
| "grad_norm": 6.136155605316162, | |
| "learning_rate": 1.118421052631579e-06, | |
| "loss": 0.4072, | |
| "step": 315 | |
| }, | |
| { | |
| "Batch Mean": 0.13713574409484863, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.7875, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 6.242608070373535, | |
| "learning_rate": 1.1052631578947369e-06, | |
| "loss": 0.3796, | |
| "step": 316 | |
| }, | |
| { | |
| "Batch Mean": 0.03120565414428711, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.79, | |
| "step": 316 | |
| }, | |
| { | |
| "epoch": 0.7925, | |
| "grad_norm": 5.207064628601074, | |
| "learning_rate": 1.0921052631578948e-06, | |
| "loss": 0.3056, | |
| "step": 317 | |
| }, | |
| { | |
| "Batch Mean": 0.25341320037841797, | |
| "accuracy": 0.828125, | |
| "epoch": 0.7925, | |
| "step": 317 | |
| }, | |
| { | |
| "epoch": 0.795, | |
| "grad_norm": 7.0822882652282715, | |
| "learning_rate": 1.0789473684210527e-06, | |
| "loss": 0.3858, | |
| "step": 318 | |
| }, | |
| { | |
| "Batch Mean": -0.12684790790081024, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.795, | |
| "step": 318 | |
| }, | |
| { | |
| "epoch": 0.7975, | |
| "grad_norm": 7.24815559387207, | |
| "learning_rate": 1.0657894736842106e-06, | |
| "loss": 0.429, | |
| "step": 319 | |
| }, | |
| { | |
| "Batch Mean": 0.04200387001037598, | |
| "accuracy": 0.828125, | |
| "epoch": 0.7975, | |
| "step": 319 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 6.244017601013184, | |
| "learning_rate": 1.0526315789473685e-06, | |
| "loss": 0.3508, | |
| "step": 320 | |
| }, | |
| { | |
| "Batch Mean": 0.11800074577331543, | |
| "accuracy": 0.84375, | |
| "epoch": 0.8, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.8025, | |
| "grad_norm": 6.847427845001221, | |
| "learning_rate": 1.0394736842105264e-06, | |
| "loss": 0.3942, | |
| "step": 321 | |
| }, | |
| { | |
| "Batch Mean": 0.21634423732757568, | |
| "accuracy": 0.875, | |
| "epoch": 0.8025, | |
| "step": 321 | |
| }, | |
| { | |
| "epoch": 0.805, | |
| "grad_norm": 5.618517875671387, | |
| "learning_rate": 1.0263157894736843e-06, | |
| "loss": 0.3045, | |
| "step": 322 | |
| }, | |
| { | |
| "Batch Mean": -0.12757059931755066, | |
| "accuracy": 0.828125, | |
| "epoch": 0.805, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 0.8075, | |
| "grad_norm": 6.686208248138428, | |
| "learning_rate": 1.013157894736842e-06, | |
| "loss": 0.4245, | |
| "step": 323 | |
| }, | |
| { | |
| "Batch Mean": -0.531203031539917, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.8075, | |
| "step": 323 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "grad_norm": 7.686892032623291, | |
| "learning_rate": 1.0000000000000002e-06, | |
| "loss": 0.3589, | |
| "step": 324 | |
| }, | |
| { | |
| "Batch Mean": -0.38658928871154785, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.81, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 0.8125, | |
| "grad_norm": 6.230345249176025, | |
| "learning_rate": 9.86842105263158e-07, | |
| "loss": 0.307, | |
| "step": 325 | |
| }, | |
| { | |
| "Batch Mean": -0.006134852766990662, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.8125, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.815, | |
| "grad_norm": 5.745806694030762, | |
| "learning_rate": 9.736842105263158e-07, | |
| "loss": 0.368, | |
| "step": 326 | |
| }, | |
| { | |
| "Batch Mean": 0.13355731964111328, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.815, | |
| "step": 326 | |
| }, | |
| { | |
| "epoch": 0.8175, | |
| "grad_norm": 5.20259952545166, | |
| "learning_rate": 9.605263157894737e-07, | |
| "loss": 0.319, | |
| "step": 327 | |
| }, | |
| { | |
| "Batch Mean": -0.030962467193603516, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.8175, | |
| "step": 327 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 6.881910800933838, | |
| "learning_rate": 9.473684210526317e-07, | |
| "loss": 0.3913, | |
| "step": 328 | |
| }, | |
| { | |
| "Batch Mean": -0.2659430503845215, | |
| "accuracy": 0.875, | |
| "epoch": 0.82, | |
| "step": 328 | |
| }, | |
| { | |
| "epoch": 0.8225, | |
| "grad_norm": 5.749542713165283, | |
| "learning_rate": 9.342105263157895e-07, | |
| "loss": 0.3125, | |
| "step": 329 | |
| }, | |
| { | |
| "Batch Mean": -0.022816181182861328, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.8225, | |
| "step": 329 | |
| }, | |
| { | |
| "epoch": 0.825, | |
| "grad_norm": 5.963510990142822, | |
| "learning_rate": 9.210526315789474e-07, | |
| "loss": 0.3554, | |
| "step": 330 | |
| }, | |
| { | |
| "Batch Mean": 0.1255784034729004, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.825, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.8275, | |
| "grad_norm": 6.184539318084717, | |
| "learning_rate": 9.078947368421054e-07, | |
| "loss": 0.3816, | |
| "step": 331 | |
| }, | |
| { | |
| "Batch Mean": 0.34945011138916016, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.8275, | |
| "step": 331 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "grad_norm": 6.493666172027588, | |
| "learning_rate": 8.947368421052632e-07, | |
| "loss": 0.3897, | |
| "step": 332 | |
| }, | |
| { | |
| "Batch Mean": 0.5187950730323792, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.83, | |
| "step": 332 | |
| }, | |
| { | |
| "epoch": 0.8325, | |
| "grad_norm": 8.34493350982666, | |
| "learning_rate": 8.815789473684211e-07, | |
| "loss": 0.4744, | |
| "step": 333 | |
| }, | |
| { | |
| "Batch Mean": 0.14876115322113037, | |
| "accuracy": 0.859375, | |
| "epoch": 0.8325, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 0.835, | |
| "grad_norm": 5.86116886138916, | |
| "learning_rate": 8.68421052631579e-07, | |
| "loss": 0.346, | |
| "step": 334 | |
| }, | |
| { | |
| "Batch Mean": 0.2181391716003418, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.835, | |
| "step": 334 | |
| }, | |
| { | |
| "epoch": 0.8375, | |
| "grad_norm": 5.708371162414551, | |
| "learning_rate": 8.55263157894737e-07, | |
| "loss": 0.3156, | |
| "step": 335 | |
| }, | |
| { | |
| "Batch Mean": -0.09983713924884796, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.8375, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 6.523188591003418, | |
| "learning_rate": 8.421052631578948e-07, | |
| "loss": 0.4152, | |
| "step": 336 | |
| }, | |
| { | |
| "Batch Mean": -0.3769869804382324, | |
| "accuracy": 0.8125, | |
| "epoch": 0.84, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 0.8425, | |
| "grad_norm": 6.4607038497924805, | |
| "learning_rate": 8.289473684210527e-07, | |
| "loss": 0.3696, | |
| "step": 337 | |
| }, | |
| { | |
| "Batch Mean": -0.4478006362915039, | |
| "accuracy": 0.8984375, | |
| "epoch": 0.8425, | |
| "step": 337 | |
| }, | |
| { | |
| "epoch": 0.845, | |
| "grad_norm": 6.37753438949585, | |
| "learning_rate": 8.157894736842106e-07, | |
| "loss": 0.294, | |
| "step": 338 | |
| }, | |
| { | |
| "Batch Mean": -0.027586758136749268, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.845, | |
| "step": 338 | |
| }, | |
| { | |
| "epoch": 0.8475, | |
| "grad_norm": 5.023904323577881, | |
| "learning_rate": 8.026315789473685e-07, | |
| "loss": 0.3518, | |
| "step": 339 | |
| }, | |
| { | |
| "Batch Mean": 0.20917105674743652, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.8475, | |
| "step": 339 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 6.015613555908203, | |
| "learning_rate": 7.894736842105263e-07, | |
| "loss": 0.3785, | |
| "step": 340 | |
| }, | |
| { | |
| "Batch Mean": 0.3118593096733093, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.85, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.8525, | |
| "grad_norm": 6.1103515625, | |
| "learning_rate": 7.763157894736843e-07, | |
| "loss": 0.3737, | |
| "step": 341 | |
| }, | |
| { | |
| "Batch Mean": -0.126387357711792, | |
| "accuracy": 0.890625, | |
| "epoch": 0.8525, | |
| "step": 341 | |
| }, | |
| { | |
| "epoch": 0.855, | |
| "grad_norm": 5.179422855377197, | |
| "learning_rate": 7.631578947368422e-07, | |
| "loss": 0.2561, | |
| "step": 342 | |
| }, | |
| { | |
| "Batch Mean": -0.09555430710315704, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.855, | |
| "step": 342 | |
| }, | |
| { | |
| "epoch": 0.8575, | |
| "grad_norm": 6.1140360832214355, | |
| "learning_rate": 7.5e-07, | |
| "loss": 0.3845, | |
| "step": 343 | |
| }, | |
| { | |
| "Batch Mean": 0.18266582489013672, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.8575, | |
| "step": 343 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "grad_norm": 5.9565887451171875, | |
| "learning_rate": 7.368421052631579e-07, | |
| "loss": 0.3732, | |
| "step": 344 | |
| }, | |
| { | |
| "Batch Mean": -0.2062819004058838, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.86, | |
| "step": 344 | |
| }, | |
| { | |
| "epoch": 0.8625, | |
| "grad_norm": 5.543845176696777, | |
| "learning_rate": 7.236842105263158e-07, | |
| "loss": 0.3262, | |
| "step": 345 | |
| }, | |
| { | |
| "Batch Mean": -0.1675710678100586, | |
| "accuracy": 0.84375, | |
| "epoch": 0.8625, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 0.865, | |
| "grad_norm": 5.6085524559021, | |
| "learning_rate": 7.105263157894737e-07, | |
| "loss": 0.3539, | |
| "step": 346 | |
| }, | |
| { | |
| "Batch Mean": 0.1928102970123291, | |
| "accuracy": 0.765625, | |
| "epoch": 0.865, | |
| "step": 346 | |
| }, | |
| { | |
| "epoch": 0.8675, | |
| "grad_norm": 7.385869026184082, | |
| "learning_rate": 6.973684210526316e-07, | |
| "loss": 0.5133, | |
| "step": 347 | |
| }, | |
| { | |
| "Batch Mean": -0.34415435791015625, | |
| "accuracy": 0.828125, | |
| "epoch": 0.8675, | |
| "step": 347 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "grad_norm": 6.721138954162598, | |
| "learning_rate": 6.842105263157896e-07, | |
| "loss": 0.3757, | |
| "step": 348 | |
| }, | |
| { | |
| "Batch Mean": -0.07728886604309082, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.87, | |
| "step": 348 | |
| }, | |
| { | |
| "epoch": 0.8725, | |
| "grad_norm": 5.331783294677734, | |
| "learning_rate": 6.710526315789475e-07, | |
| "loss": 0.3591, | |
| "step": 349 | |
| }, | |
| { | |
| "Batch Mean": -0.0012063980102539062, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.8725, | |
| "step": 349 | |
| }, | |
| { | |
| "epoch": 0.875, | |
| "grad_norm": 5.8661956787109375, | |
| "learning_rate": 6.578947368421053e-07, | |
| "loss": 0.3931, | |
| "step": 350 | |
| }, | |
| { | |
| "Batch Mean": -0.13451290130615234, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.875, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.8775, | |
| "grad_norm": 5.253983020782471, | |
| "learning_rate": 6.447368421052633e-07, | |
| "loss": 0.3574, | |
| "step": 351 | |
| }, | |
| { | |
| "Batch Mean": 0.041100263595581055, | |
| "accuracy": 0.765625, | |
| "epoch": 0.8775, | |
| "step": 351 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 6.266009330749512, | |
| "learning_rate": 6.315789473684211e-07, | |
| "loss": 0.4274, | |
| "step": 352 | |
| }, | |
| { | |
| "Batch Mean": 0.017366766929626465, | |
| "accuracy": 0.875, | |
| "epoch": 0.88, | |
| "step": 352 | |
| }, | |
| { | |
| "epoch": 0.8825, | |
| "grad_norm": 5.189981460571289, | |
| "learning_rate": 6.18421052631579e-07, | |
| "loss": 0.3485, | |
| "step": 353 | |
| }, | |
| { | |
| "Batch Mean": 0.019828438758850098, | |
| "accuracy": 0.84375, | |
| "epoch": 0.8825, | |
| "step": 353 | |
| }, | |
| { | |
| "epoch": 0.885, | |
| "grad_norm": 5.647443771362305, | |
| "learning_rate": 6.052631578947369e-07, | |
| "loss": 0.3626, | |
| "step": 354 | |
| }, | |
| { | |
| "Batch Mean": 0.48105788230895996, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.885, | |
| "step": 354 | |
| }, | |
| { | |
| "epoch": 0.8875, | |
| "grad_norm": 6.2056779861450195, | |
| "learning_rate": 5.921052631578947e-07, | |
| "loss": 0.286, | |
| "step": 355 | |
| }, | |
| { | |
| "Batch Mean": 0.32272911071777344, | |
| "accuracy": 0.828125, | |
| "epoch": 0.8875, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "grad_norm": 6.290451526641846, | |
| "learning_rate": 5.789473684210526e-07, | |
| "loss": 0.3615, | |
| "step": 356 | |
| }, | |
| { | |
| "Batch Mean": -0.0491328239440918, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.89, | |
| "step": 356 | |
| }, | |
| { | |
| "epoch": 0.8925, | |
| "grad_norm": 5.412110805511475, | |
| "learning_rate": 5.657894736842106e-07, | |
| "loss": 0.3734, | |
| "step": 357 | |
| }, | |
| { | |
| "Batch Mean": 0.009822294116020203, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.8925, | |
| "step": 357 | |
| }, | |
| { | |
| "epoch": 0.895, | |
| "grad_norm": 5.308077812194824, | |
| "learning_rate": 5.526315789473684e-07, | |
| "loss": 0.3564, | |
| "step": 358 | |
| }, | |
| { | |
| "Batch Mean": 0.3762497901916504, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.895, | |
| "step": 358 | |
| }, | |
| { | |
| "epoch": 0.8975, | |
| "grad_norm": 6.504393577575684, | |
| "learning_rate": 5.394736842105264e-07, | |
| "loss": 0.3592, | |
| "step": 359 | |
| }, | |
| { | |
| "Batch Mean": 0.03059971332550049, | |
| "accuracy": 0.8828125, | |
| "epoch": 0.8975, | |
| "step": 359 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "grad_norm": 5.554889678955078, | |
| "learning_rate": 5.263157894736843e-07, | |
| "loss": 0.3073, | |
| "step": 360 | |
| }, | |
| { | |
| "Batch Mean": -0.11461305618286133, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.9, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.9025, | |
| "grad_norm": 5.032441139221191, | |
| "learning_rate": 5.131578947368422e-07, | |
| "loss": 0.3115, | |
| "step": 361 | |
| }, | |
| { | |
| "Batch Mean": 0.0866403579711914, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.9025, | |
| "step": 361 | |
| }, | |
| { | |
| "epoch": 0.905, | |
| "grad_norm": 5.989850044250488, | |
| "learning_rate": 5.000000000000001e-07, | |
| "loss": 0.3859, | |
| "step": 362 | |
| }, | |
| { | |
| "Batch Mean": -0.08459019660949707, | |
| "accuracy": 0.90625, | |
| "epoch": 0.905, | |
| "step": 362 | |
| }, | |
| { | |
| "epoch": 0.9075, | |
| "grad_norm": 5.128976821899414, | |
| "learning_rate": 4.868421052631579e-07, | |
| "loss": 0.2912, | |
| "step": 363 | |
| }, | |
| { | |
| "Batch Mean": -0.10844220221042633, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.9075, | |
| "step": 363 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 5.089634895324707, | |
| "learning_rate": 4.7368421052631585e-07, | |
| "loss": 0.3585, | |
| "step": 364 | |
| }, | |
| { | |
| "Batch Mean": 0.07012319564819336, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.91, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 0.9125, | |
| "grad_norm": 5.767172813415527, | |
| "learning_rate": 4.605263157894737e-07, | |
| "loss": 0.3794, | |
| "step": 365 | |
| }, | |
| { | |
| "Batch Mean": 0.0005617141723632812, | |
| "accuracy": 0.84375, | |
| "epoch": 0.9125, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 0.915, | |
| "grad_norm": 5.322833061218262, | |
| "learning_rate": 4.473684210526316e-07, | |
| "loss": 0.3441, | |
| "step": 366 | |
| }, | |
| { | |
| "Batch Mean": -0.19214963912963867, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.915, | |
| "step": 366 | |
| }, | |
| { | |
| "epoch": 0.9175, | |
| "grad_norm": 6.23066520690918, | |
| "learning_rate": 4.342105263157895e-07, | |
| "loss": 0.3964, | |
| "step": 367 | |
| }, | |
| { | |
| "Batch Mean": -0.04979205131530762, | |
| "accuracy": 0.875, | |
| "epoch": 0.9175, | |
| "step": 367 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 5.3933868408203125, | |
| "learning_rate": 4.210526315789474e-07, | |
| "loss": 0.3192, | |
| "step": 368 | |
| }, | |
| { | |
| "Batch Mean": -0.09100174903869629, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.92, | |
| "step": 368 | |
| }, | |
| { | |
| "epoch": 0.9225, | |
| "grad_norm": 5.608683109283447, | |
| "learning_rate": 4.078947368421053e-07, | |
| "loss": 0.3278, | |
| "step": 369 | |
| }, | |
| { | |
| "Batch Mean": 0.14683294296264648, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.9225, | |
| "step": 369 | |
| }, | |
| { | |
| "epoch": 0.925, | |
| "grad_norm": 6.044548034667969, | |
| "learning_rate": 3.9473684210526315e-07, | |
| "loss": 0.3752, | |
| "step": 370 | |
| }, | |
| { | |
| "Batch Mean": 0.013927459716796875, | |
| "accuracy": 0.828125, | |
| "epoch": 0.925, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.9275, | |
| "grad_norm": 6.061974048614502, | |
| "learning_rate": 3.815789473684211e-07, | |
| "loss": 0.3899, | |
| "step": 371 | |
| }, | |
| { | |
| "Batch Mean": -0.047991156578063965, | |
| "accuracy": 0.875, | |
| "epoch": 0.9275, | |
| "step": 371 | |
| }, | |
| { | |
| "epoch": 0.93, | |
| "grad_norm": 5.14998197555542, | |
| "learning_rate": 3.6842105263157896e-07, | |
| "loss": 0.3059, | |
| "step": 372 | |
| }, | |
| { | |
| "Batch Mean": 0.054487720131874084, | |
| "accuracy": 0.8515625, | |
| "epoch": 0.93, | |
| "step": 372 | |
| }, | |
| { | |
| "epoch": 0.9325, | |
| "grad_norm": 5.5619215965271, | |
| "learning_rate": 3.5526315789473687e-07, | |
| "loss": 0.3292, | |
| "step": 373 | |
| }, | |
| { | |
| "Batch Mean": 0.013424873352050781, | |
| "accuracy": 0.8046875, | |
| "epoch": 0.9325, | |
| "step": 373 | |
| }, | |
| { | |
| "epoch": 0.935, | |
| "grad_norm": 6.551247596740723, | |
| "learning_rate": 3.421052631578948e-07, | |
| "loss": 0.4177, | |
| "step": 374 | |
| }, | |
| { | |
| "Batch Mean": 0.05659294128417969, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.935, | |
| "step": 374 | |
| }, | |
| { | |
| "epoch": 0.9375, | |
| "grad_norm": 5.278907775878906, | |
| "learning_rate": 3.2894736842105264e-07, | |
| "loss": 0.2964, | |
| "step": 375 | |
| }, | |
| { | |
| "Batch Mean": 0.29555362462997437, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.9375, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 6.179633617401123, | |
| "learning_rate": 3.1578947368421055e-07, | |
| "loss": 0.3513, | |
| "step": 376 | |
| }, | |
| { | |
| "Batch Mean": -0.18094325065612793, | |
| "accuracy": 0.84375, | |
| "epoch": 0.94, | |
| "step": 376 | |
| }, | |
| { | |
| "epoch": 0.9425, | |
| "grad_norm": 7.224347114562988, | |
| "learning_rate": 3.0263157894736846e-07, | |
| "loss": 0.3757, | |
| "step": 377 | |
| }, | |
| { | |
| "Batch Mean": 0.05890762805938721, | |
| "accuracy": 0.828125, | |
| "epoch": 0.9425, | |
| "step": 377 | |
| }, | |
| { | |
| "epoch": 0.945, | |
| "grad_norm": 5.712611675262451, | |
| "learning_rate": 2.894736842105263e-07, | |
| "loss": 0.3725, | |
| "step": 378 | |
| }, | |
| { | |
| "Batch Mean": 0.1418449878692627, | |
| "accuracy": 0.7890625, | |
| "epoch": 0.945, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 0.9475, | |
| "grad_norm": 6.286527156829834, | |
| "learning_rate": 2.763157894736842e-07, | |
| "loss": 0.3898, | |
| "step": 379 | |
| }, | |
| { | |
| "Batch Mean": 0.05738520622253418, | |
| "accuracy": 0.859375, | |
| "epoch": 0.9475, | |
| "step": 379 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "grad_norm": 4.583769798278809, | |
| "learning_rate": 2.6315789473684213e-07, | |
| "loss": 0.3115, | |
| "step": 380 | |
| }, | |
| { | |
| "Batch Mean": -0.22460556030273438, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.95, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.9525, | |
| "grad_norm": 5.6696977615356445, | |
| "learning_rate": 2.5000000000000004e-07, | |
| "loss": 0.366, | |
| "step": 381 | |
| }, | |
| { | |
| "Batch Mean": -0.3225395679473877, | |
| "accuracy": 0.859375, | |
| "epoch": 0.9525, | |
| "step": 381 | |
| }, | |
| { | |
| "epoch": 0.955, | |
| "grad_norm": 6.212532997131348, | |
| "learning_rate": 2.3684210526315792e-07, | |
| "loss": 0.3249, | |
| "step": 382 | |
| }, | |
| { | |
| "Batch Mean": 0.14051055908203125, | |
| "accuracy": 0.8203125, | |
| "epoch": 0.955, | |
| "step": 382 | |
| }, | |
| { | |
| "epoch": 0.9575, | |
| "grad_norm": 6.394198417663574, | |
| "learning_rate": 2.236842105263158e-07, | |
| "loss": 0.3984, | |
| "step": 383 | |
| }, | |
| { | |
| "Batch Mean": -0.1702423095703125, | |
| "accuracy": 0.84375, | |
| "epoch": 0.9575, | |
| "step": 383 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 5.651772975921631, | |
| "learning_rate": 2.105263157894737e-07, | |
| "loss": 0.359, | |
| "step": 384 | |
| }, | |
| { | |
| "Batch Mean": -0.05308723449707031, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.96, | |
| "step": 384 | |
| }, | |
| { | |
| "epoch": 0.9625, | |
| "grad_norm": 6.010076522827148, | |
| "learning_rate": 1.9736842105263157e-07, | |
| "loss": 0.411, | |
| "step": 385 | |
| }, | |
| { | |
| "Batch Mean": -0.2975482940673828, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.9625, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 0.965, | |
| "grad_norm": 6.509852886199951, | |
| "learning_rate": 1.8421052631578948e-07, | |
| "loss": 0.3368, | |
| "step": 386 | |
| }, | |
| { | |
| "Batch Mean": 0.14680981636047363, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.965, | |
| "step": 386 | |
| }, | |
| { | |
| "epoch": 0.9675, | |
| "grad_norm": 5.1291608810424805, | |
| "learning_rate": 1.710526315789474e-07, | |
| "loss": 0.3169, | |
| "step": 387 | |
| }, | |
| { | |
| "Batch Mean": 0.26676082611083984, | |
| "accuracy": 0.921875, | |
| "epoch": 0.9675, | |
| "step": 387 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 5.539949893951416, | |
| "learning_rate": 1.5789473684210527e-07, | |
| "loss": 0.2404, | |
| "step": 388 | |
| }, | |
| { | |
| "Batch Mean": -0.08182518929243088, | |
| "accuracy": 0.890625, | |
| "epoch": 0.97, | |
| "step": 388 | |
| }, | |
| { | |
| "epoch": 0.9725, | |
| "grad_norm": 5.0751051902771, | |
| "learning_rate": 1.4473684210526316e-07, | |
| "loss": 0.3158, | |
| "step": 389 | |
| }, | |
| { | |
| "Batch Mean": -0.0028634369373321533, | |
| "accuracy": 0.890625, | |
| "epoch": 0.9725, | |
| "step": 389 | |
| }, | |
| { | |
| "epoch": 0.975, | |
| "grad_norm": 5.241757869720459, | |
| "learning_rate": 1.3157894736842107e-07, | |
| "loss": 0.3581, | |
| "step": 390 | |
| }, | |
| { | |
| "Batch Mean": 0.15844666957855225, | |
| "accuracy": 0.828125, | |
| "epoch": 0.975, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.9775, | |
| "grad_norm": 6.040011405944824, | |
| "learning_rate": 1.1842105263157896e-07, | |
| "loss": 0.3807, | |
| "step": 391 | |
| }, | |
| { | |
| "Batch Mean": 0.10521447658538818, | |
| "accuracy": 0.828125, | |
| "epoch": 0.9775, | |
| "step": 391 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "grad_norm": 6.034479141235352, | |
| "learning_rate": 1.0526315789473685e-07, | |
| "loss": 0.3806, | |
| "step": 392 | |
| }, | |
| { | |
| "Batch Mean": 0.2882518768310547, | |
| "accuracy": 0.84375, | |
| "epoch": 0.98, | |
| "step": 392 | |
| }, | |
| { | |
| "epoch": 0.9825, | |
| "grad_norm": 5.66761589050293, | |
| "learning_rate": 9.210526315789474e-08, | |
| "loss": 0.3027, | |
| "step": 393 | |
| }, | |
| { | |
| "Batch Mean": -0.028545856475830078, | |
| "accuracy": 0.84375, | |
| "epoch": 0.9825, | |
| "step": 393 | |
| }, | |
| { | |
| "epoch": 0.985, | |
| "grad_norm": 6.283968925476074, | |
| "learning_rate": 7.894736842105264e-08, | |
| "loss": 0.4155, | |
| "step": 394 | |
| }, | |
| { | |
| "Batch Mean": 0.27719879150390625, | |
| "accuracy": 0.828125, | |
| "epoch": 0.985, | |
| "step": 394 | |
| }, | |
| { | |
| "epoch": 0.9875, | |
| "grad_norm": 7.055726051330566, | |
| "learning_rate": 6.578947368421053e-08, | |
| "loss": 0.4114, | |
| "step": 395 | |
| }, | |
| { | |
| "Batch Mean": -0.04994678497314453, | |
| "accuracy": 0.796875, | |
| "epoch": 0.9875, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "grad_norm": 6.046277046203613, | |
| "learning_rate": 5.263157894736842e-08, | |
| "loss": 0.3805, | |
| "step": 396 | |
| }, | |
| { | |
| "Batch Mean": -0.2553279399871826, | |
| "accuracy": 0.828125, | |
| "epoch": 0.99, | |
| "step": 396 | |
| }, | |
| { | |
| "epoch": 0.9925, | |
| "grad_norm": 6.75329065322876, | |
| "learning_rate": 3.947368421052632e-08, | |
| "loss": 0.3899, | |
| "step": 397 | |
| }, | |
| { | |
| "Batch Mean": -0.08599328994750977, | |
| "accuracy": 0.8671875, | |
| "epoch": 0.9925, | |
| "step": 397 | |
| }, | |
| { | |
| "epoch": 0.995, | |
| "grad_norm": 5.147411823272705, | |
| "learning_rate": 2.631578947368421e-08, | |
| "loss": 0.3452, | |
| "step": 398 | |
| }, | |
| { | |
| "Batch Mean": -0.3474156856536865, | |
| "accuracy": 0.8359375, | |
| "epoch": 0.995, | |
| "step": 398 | |
| }, | |
| { | |
| "epoch": 0.9975, | |
| "grad_norm": 6.974626541137695, | |
| "learning_rate": 1.3157894736842106e-08, | |
| "loss": 0.4148, | |
| "step": 399 | |
| }, | |
| { | |
| "Batch Mean": -0.06964653730392456, | |
| "accuracy": 0.84375, | |
| "epoch": 0.9975, | |
| "step": 399 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 6.016994476318359, | |
| "learning_rate": 0.0, | |
| "loss": 0.3874, | |
| "step": 400 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 100, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 0.0, | |
| "train_batch_size": 16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |