diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,3903 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.9999742221534813, + "eval_steps": 500, + "global_step": 19396, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "decision_loss": 17.2946, + "encoder_mlm_loss": 1.3309, + "epoch": 0.0, + "grad_norm": 506.80633544921875, + "learning_rate": 4.4e-07, + "loss": 37.9076, + "reason_loss": NaN, + "step": 50 + }, + { + "decision_loss": 15.157, + "encoder_mlm_loss": 1.3116, + "epoch": 0.01, + "grad_norm": 324.48309326171875, + "learning_rate": 9.400000000000001e-07, + "loss": 33.6669, + "reason_loss": NaN, + "step": 100 + }, + { + "decision_loss": 11.6826, + "encoder_mlm_loss": 1.2069, + "epoch": 0.01, + "grad_norm": 171.52377319335938, + "learning_rate": 1.44e-06, + "loss": 26.0507, + "reason_loss": NaN, + "step": 150 + }, + { + "decision_loss": 8.4601, + "encoder_mlm_loss": 1.1887, + "epoch": 0.01, + "grad_norm": 69.40190887451172, + "learning_rate": 1.93e-06, + "loss": 19.9829, + "reason_loss": NaN, + "step": 200 + }, + { + "decision_loss": 6.6507, + "encoder_mlm_loss": 1.0606, + "epoch": 0.01, + "grad_norm": 32.03302764892578, + "learning_rate": 2.43e-06, + "loss": 16.3406, + "reason_loss": NaN, + "step": 250 + }, + { + "decision_loss": 5.7539, + "encoder_mlm_loss": 0.9811, + "epoch": 0.02, + "grad_norm": 21.778579711914062, + "learning_rate": 2.93e-06, + "loss": 14.2326, + "reason_loss": NaN, + "step": 300 + }, + { + "decision_loss": 5.3877, + "encoder_mlm_loss": 0.9975, + "epoch": 0.02, + "grad_norm": 18.334007263183594, + "learning_rate": 3.4200000000000003e-06, + "loss": 13.4659, + "reason_loss": NaN, + "step": 350 + }, + { + "decision_loss": 5.1198, + "encoder_mlm_loss": 0.9698, + "epoch": 0.02, + "grad_norm": 20.7861270904541, + "learning_rate": 3.92e-06, + "loss": 12.9997, + "reason_loss": NaN, + "step": 400 + }, + { + "decision_loss": 4.9401, + "encoder_mlm_loss": 0.8893, + "epoch": 0.02, + "grad_norm": 16.364755630493164, + "learning_rate": 4.420000000000001e-06, + "loss": 12.7823, + "reason_loss": NaN, + "step": 450 + }, + { + "decision_loss": 4.8397, + "encoder_mlm_loss": 0.8811, + "epoch": 0.03, + "grad_norm": 15.240585327148438, + "learning_rate": 4.92e-06, + "loss": 12.3987, + "reason_loss": NaN, + "step": 500 + }, + { + "decision_loss": 4.8283, + "encoder_mlm_loss": 0.8613, + "epoch": 0.03, + "grad_norm": 16.48607063293457, + "learning_rate": 5.42e-06, + "loss": 12.1919, + "reason_loss": NaN, + "step": 550 + }, + { + "decision_loss": 4.7769, + "encoder_mlm_loss": 0.8291, + "epoch": 0.03, + "grad_norm": 14.643627166748047, + "learning_rate": 5.920000000000001e-06, + "loss": 12.0182, + "reason_loss": NaN, + "step": 600 + }, + { + "decision_loss": 4.8057, + "encoder_mlm_loss": 0.8424, + "epoch": 0.03, + "grad_norm": 14.431436538696289, + "learning_rate": 6.4199999999999995e-06, + "loss": 11.9925, + "reason_loss": NaN, + "step": 650 + }, + { + "decision_loss": 4.6025, + "encoder_mlm_loss": 0.8223, + "epoch": 0.04, + "grad_norm": 27.42824935913086, + "learning_rate": 6.92e-06, + "loss": 11.7964, + "reason_loss": NaN, + "step": 700 + }, + { + "decision_loss": 4.5554, + "encoder_mlm_loss": 0.8215, + "epoch": 0.04, + "grad_norm": 15.171280860900879, + "learning_rate": 7.420000000000001e-06, + "loss": 11.8384, + "reason_loss": NaN, + "step": 750 + }, + { + "decision_loss": 4.4705, + "encoder_mlm_loss": 0.7881, + "epoch": 0.04, + "grad_norm": 15.859951972961426, + "learning_rate": 7.92e-06, + "loss": 11.9251, + "reason_loss": NaN, + "step": 800 + }, + { + "decision_loss": 4.502, + "encoder_mlm_loss": 0.7824, + "epoch": 0.04, + "grad_norm": 13.420965194702148, + "learning_rate": 8.42e-06, + "loss": 11.589, + "reason_loss": NaN, + "step": 850 + }, + { + "decision_loss": 4.4354, + "encoder_mlm_loss": 0.7933, + "epoch": 0.05, + "grad_norm": 20.237834930419922, + "learning_rate": 8.920000000000001e-06, + "loss": 11.4423, + "reason_loss": NaN, + "step": 900 + }, + { + "decision_loss": 4.4066, + "encoder_mlm_loss": 0.8067, + "epoch": 0.05, + "grad_norm": 14.367069244384766, + "learning_rate": 9.420000000000001e-06, + "loss": 11.5077, + "reason_loss": NaN, + "step": 950 + }, + { + "decision_loss": 4.4373, + "encoder_mlm_loss": 0.7737, + "epoch": 0.05, + "grad_norm": 14.129799842834473, + "learning_rate": 9.92e-06, + "loss": 11.2995, + "reason_loss": NaN, + "step": 1000 + }, + { + "decision_loss": 4.374, + "encoder_mlm_loss": 0.7633, + "epoch": 0.05, + "grad_norm": 14.180242538452148, + "learning_rate": 1.042e-05, + "loss": 11.1966, + "reason_loss": 5.5783, + "step": 1050 + }, + { + "decision_loss": 4.4494, + "encoder_mlm_loss": 0.7522, + "epoch": 0.06, + "grad_norm": 11.483891487121582, + "learning_rate": 1.092e-05, + "loss": 11.5075, + "reason_loss": NaN, + "step": 1100 + }, + { + "decision_loss": 4.3591, + "encoder_mlm_loss": 0.7654, + "epoch": 0.06, + "grad_norm": 12.64001178741455, + "learning_rate": 1.142e-05, + "loss": 11.0272, + "reason_loss": NaN, + "step": 1150 + }, + { + "decision_loss": 4.3741, + "encoder_mlm_loss": 0.7449, + "epoch": 0.06, + "grad_norm": 14.490357398986816, + "learning_rate": 1.1920000000000001e-05, + "loss": 11.2744, + "reason_loss": NaN, + "step": 1200 + }, + { + "decision_loss": 4.3079, + "encoder_mlm_loss": 0.724, + "epoch": 0.06, + "grad_norm": 12.611394882202148, + "learning_rate": 1.2420000000000001e-05, + "loss": 11.3553, + "reason_loss": NaN, + "step": 1250 + }, + { + "decision_loss": 4.331, + "encoder_mlm_loss": 0.7394, + "epoch": 0.07, + "grad_norm": 23.937461853027344, + "learning_rate": 1.2920000000000002e-05, + "loss": 11.4936, + "reason_loss": NaN, + "step": 1300 + }, + { + "decision_loss": 4.3113, + "encoder_mlm_loss": 0.7483, + "epoch": 0.07, + "grad_norm": 13.525325775146484, + "learning_rate": 1.341e-05, + "loss": 11.2692, + "reason_loss": NaN, + "step": 1350 + }, + { + "decision_loss": 4.4514, + "encoder_mlm_loss": 0.7134, + "epoch": 0.07, + "grad_norm": 12.281783103942871, + "learning_rate": 1.391e-05, + "loss": 11.3637, + "reason_loss": NaN, + "step": 1400 + }, + { + "decision_loss": 4.2842, + "encoder_mlm_loss": 0.707, + "epoch": 0.07, + "grad_norm": 13.143014907836914, + "learning_rate": 1.4410000000000001e-05, + "loss": 11.083, + "reason_loss": NaN, + "step": 1450 + }, + { + "decision_loss": 4.1891, + "encoder_mlm_loss": 0.7466, + "epoch": 0.08, + "grad_norm": 15.713329315185547, + "learning_rate": 1.4910000000000001e-05, + "loss": 11.0169, + "reason_loss": NaN, + "step": 1500 + }, + { + "decision_loss": 4.2626, + "encoder_mlm_loss": 0.7105, + "epoch": 0.08, + "grad_norm": 12.946088790893555, + "learning_rate": 1.541e-05, + "loss": 10.9707, + "reason_loss": NaN, + "step": 1550 + }, + { + "decision_loss": 4.2396, + "encoder_mlm_loss": 0.7035, + "epoch": 0.08, + "grad_norm": 14.146540641784668, + "learning_rate": 1.591e-05, + "loss": 10.8574, + "reason_loss": NaN, + "step": 1600 + }, + { + "decision_loss": 4.2699, + "encoder_mlm_loss": 0.6882, + "epoch": 0.09, + "grad_norm": 13.31047534942627, + "learning_rate": 1.641e-05, + "loss": 11.0437, + "reason_loss": NaN, + "step": 1650 + }, + { + "decision_loss": 4.2453, + "encoder_mlm_loss": 0.6995, + "epoch": 0.09, + "grad_norm": 12.856541633605957, + "learning_rate": 1.6910000000000002e-05, + "loss": 10.9505, + "reason_loss": NaN, + "step": 1700 + }, + { + "decision_loss": 4.3523, + "encoder_mlm_loss": 0.6896, + "epoch": 0.09, + "grad_norm": 13.268596649169922, + "learning_rate": 1.741e-05, + "loss": 10.9844, + "reason_loss": NaN, + "step": 1750 + }, + { + "decision_loss": 4.262, + "encoder_mlm_loss": 0.6877, + "epoch": 0.09, + "grad_norm": 13.404997825622559, + "learning_rate": 1.7910000000000003e-05, + "loss": 10.9554, + "reason_loss": NaN, + "step": 1800 + }, + { + "decision_loss": 4.2655, + "encoder_mlm_loss": 0.6793, + "epoch": 0.1, + "grad_norm": 12.608678817749023, + "learning_rate": 1.841e-05, + "loss": 10.9086, + "reason_loss": NaN, + "step": 1850 + }, + { + "decision_loss": 4.2445, + "encoder_mlm_loss": 0.6692, + "epoch": 0.1, + "grad_norm": 11.864866256713867, + "learning_rate": 1.891e-05, + "loss": 11.0079, + "reason_loss": NaN, + "step": 1900 + }, + { + "decision_loss": 4.2461, + "encoder_mlm_loss": 0.7055, + "epoch": 0.1, + "grad_norm": 12.110335350036621, + "learning_rate": 1.941e-05, + "loss": 10.9009, + "reason_loss": NaN, + "step": 1950 + }, + { + "decision_loss": 4.1508, + "encoder_mlm_loss": 0.6584, + "epoch": 0.1, + "grad_norm": 13.818020820617676, + "learning_rate": 1.991e-05, + "loss": 10.9391, + "reason_loss": NaN, + "step": 2000 + }, + { + "decision_loss": 4.1503, + "encoder_mlm_loss": 0.6471, + "epoch": 0.11, + "grad_norm": 11.85276985168457, + "learning_rate": 2.0410000000000003e-05, + "loss": 10.703, + "reason_loss": NaN, + "step": 2050 + }, + { + "decision_loss": 4.1422, + "encoder_mlm_loss": 0.6624, + "epoch": 0.11, + "grad_norm": 11.124549865722656, + "learning_rate": 2.091e-05, + "loss": 10.7727, + "reason_loss": NaN, + "step": 2100 + }, + { + "decision_loss": 4.1424, + "encoder_mlm_loss": 0.6796, + "epoch": 0.11, + "grad_norm": 12.21742057800293, + "learning_rate": 2.1410000000000003e-05, + "loss": 10.6846, + "reason_loss": NaN, + "step": 2150 + }, + { + "decision_loss": 4.0898, + "encoder_mlm_loss": 0.6717, + "epoch": 0.11, + "grad_norm": 11.365450859069824, + "learning_rate": 2.191e-05, + "loss": 10.662, + "reason_loss": NaN, + "step": 2200 + }, + { + "decision_loss": 4.0713, + "encoder_mlm_loss": 0.6881, + "epoch": 0.12, + "grad_norm": 12.824188232421875, + "learning_rate": 2.241e-05, + "loss": 10.8777, + "reason_loss": NaN, + "step": 2250 + }, + { + "decision_loss": 4.1075, + "encoder_mlm_loss": 0.6395, + "epoch": 0.12, + "grad_norm": 12.549530982971191, + "learning_rate": 2.2910000000000003e-05, + "loss": 10.6139, + "reason_loss": NaN, + "step": 2300 + }, + { + "decision_loss": 4.1325, + "encoder_mlm_loss": 0.6705, + "epoch": 0.12, + "grad_norm": 11.592597007751465, + "learning_rate": 2.341e-05, + "loss": 10.6118, + "reason_loss": NaN, + "step": 2350 + }, + { + "decision_loss": 4.0534, + "encoder_mlm_loss": 0.6424, + "epoch": 0.12, + "grad_norm": 12.411306381225586, + "learning_rate": 2.3910000000000003e-05, + "loss": 10.586, + "reason_loss": NaN, + "step": 2400 + }, + { + "decision_loss": 4.0439, + "encoder_mlm_loss": 0.6486, + "epoch": 0.13, + "grad_norm": 12.624602317810059, + "learning_rate": 2.4410000000000002e-05, + "loss": 10.5166, + "reason_loss": NaN, + "step": 2450 + }, + { + "decision_loss": 4.1069, + "encoder_mlm_loss": 0.6389, + "epoch": 0.13, + "grad_norm": 13.636293411254883, + "learning_rate": 2.491e-05, + "loss": 10.6555, + "reason_loss": NaN, + "step": 2500 + }, + { + "decision_loss": 4.0365, + "encoder_mlm_loss": 0.6552, + "epoch": 0.13, + "grad_norm": 11.545199394226074, + "learning_rate": 2.541e-05, + "loss": 10.4713, + "reason_loss": NaN, + "step": 2550 + }, + { + "decision_loss": 4.0198, + "encoder_mlm_loss": 0.6485, + "epoch": 0.13, + "grad_norm": 11.711776733398438, + "learning_rate": 2.591e-05, + "loss": 10.5863, + "reason_loss": NaN, + "step": 2600 + }, + { + "decision_loss": 3.9609, + "encoder_mlm_loss": 0.6039, + "epoch": 0.14, + "grad_norm": 13.17541217803955, + "learning_rate": 2.6410000000000003e-05, + "loss": 10.3168, + "reason_loss": NaN, + "step": 2650 + }, + { + "decision_loss": 4.0235, + "encoder_mlm_loss": 0.6256, + "epoch": 0.14, + "grad_norm": 11.82180404663086, + "learning_rate": 2.691e-05, + "loss": 10.5624, + "reason_loss": NaN, + "step": 2700 + }, + { + "decision_loss": 3.839, + "encoder_mlm_loss": 0.6519, + "epoch": 0.14, + "grad_norm": 12.721589088439941, + "learning_rate": 2.7410000000000004e-05, + "loss": 10.4343, + "reason_loss": NaN, + "step": 2750 + }, + { + "decision_loss": 3.9386, + "encoder_mlm_loss": 0.6115, + "epoch": 0.14, + "grad_norm": 12.1082763671875, + "learning_rate": 2.7910000000000002e-05, + "loss": 10.3518, + "reason_loss": NaN, + "step": 2800 + }, + { + "decision_loss": 3.8515, + "encoder_mlm_loss": 0.6094, + "epoch": 0.15, + "grad_norm": 12.88183307647705, + "learning_rate": 2.8410000000000004e-05, + "loss": 10.2022, + "reason_loss": NaN, + "step": 2850 + }, + { + "decision_loss": 3.7709, + "encoder_mlm_loss": 0.6229, + "epoch": 0.15, + "grad_norm": 11.533916473388672, + "learning_rate": 2.8899999999999998e-05, + "loss": 10.3799, + "reason_loss": NaN, + "step": 2900 + }, + { + "decision_loss": 3.8497, + "encoder_mlm_loss": 0.6279, + "epoch": 0.15, + "grad_norm": 12.61514663696289, + "learning_rate": 2.94e-05, + "loss": 10.1719, + "reason_loss": NaN, + "step": 2950 + }, + { + "decision_loss": 3.8989, + "encoder_mlm_loss": 0.6137, + "epoch": 0.15, + "grad_norm": 10.787571907043457, + "learning_rate": 2.9900000000000002e-05, + "loss": 10.3554, + "reason_loss": NaN, + "step": 3000 + }, + { + "decision_loss": 3.7403, + "encoder_mlm_loss": 0.6325, + "epoch": 0.16, + "grad_norm": 11.576037406921387, + "learning_rate": 3.04e-05, + "loss": 10.1061, + "reason_loss": NaN, + "step": 3050 + }, + { + "decision_loss": 3.8257, + "encoder_mlm_loss": 0.6188, + "epoch": 0.16, + "grad_norm": 11.931550025939941, + "learning_rate": 3.09e-05, + "loss": 10.0557, + "reason_loss": NaN, + "step": 3100 + }, + { + "decision_loss": 3.7653, + "encoder_mlm_loss": 0.6151, + "epoch": 0.16, + "grad_norm": 13.052062034606934, + "learning_rate": 3.1400000000000004e-05, + "loss": 9.9838, + "reason_loss": NaN, + "step": 3150 + }, + { + "decision_loss": 3.7544, + "encoder_mlm_loss": 0.6237, + "epoch": 0.16, + "grad_norm": 14.21654224395752, + "learning_rate": 3.19e-05, + "loss": 9.8657, + "reason_loss": NaN, + "step": 3200 + }, + { + "decision_loss": 3.6772, + "encoder_mlm_loss": 0.61, + "epoch": 0.17, + "grad_norm": 14.428752899169922, + "learning_rate": 3.24e-05, + "loss": 9.6336, + "reason_loss": NaN, + "step": 3250 + }, + { + "decision_loss": 3.6212, + "encoder_mlm_loss": 0.6203, + "epoch": 0.17, + "grad_norm": 15.353618621826172, + "learning_rate": 3.29e-05, + "loss": 9.4442, + "reason_loss": NaN, + "step": 3300 + }, + { + "decision_loss": 3.6407, + "encoder_mlm_loss": 0.6454, + "epoch": 0.17, + "grad_norm": 12.828969955444336, + "learning_rate": 3.3400000000000005e-05, + "loss": 9.3448, + "reason_loss": NaN, + "step": 3350 + }, + { + "decision_loss": 3.5022, + "encoder_mlm_loss": 0.6361, + "epoch": 0.18, + "grad_norm": 13.936616897583008, + "learning_rate": 3.3900000000000004e-05, + "loss": 9.354, + "reason_loss": NaN, + "step": 3400 + }, + { + "decision_loss": 3.5961, + "encoder_mlm_loss": 0.6405, + "epoch": 0.18, + "grad_norm": 13.668755531311035, + "learning_rate": 3.4399999999999996e-05, + "loss": 9.0563, + "reason_loss": 4.3796, + "step": 3450 + }, + { + "decision_loss": 3.5257, + "encoder_mlm_loss": 0.591, + "epoch": 0.18, + "grad_norm": 12.743650436401367, + "learning_rate": 3.49e-05, + "loss": 9.089, + "reason_loss": NaN, + "step": 3500 + }, + { + "decision_loss": 3.688, + "encoder_mlm_loss": 0.6529, + "epoch": 0.18, + "grad_norm": 13.899826049804688, + "learning_rate": 3.54e-05, + "loss": 8.7378, + "reason_loss": NaN, + "step": 3550 + }, + { + "decision_loss": 3.5177, + "encoder_mlm_loss": 0.6223, + "epoch": 0.19, + "grad_norm": 16.01102066040039, + "learning_rate": 3.59e-05, + "loss": 8.6978, + "reason_loss": NaN, + "step": 3600 + }, + { + "decision_loss": 3.5152, + "encoder_mlm_loss": 0.6192, + "epoch": 0.19, + "grad_norm": 14.593777656555176, + "learning_rate": 3.6400000000000004e-05, + "loss": 8.3674, + "reason_loss": NaN, + "step": 3650 + }, + { + "decision_loss": 3.4812, + "encoder_mlm_loss": 0.6087, + "epoch": 0.19, + "grad_norm": 20.128116607666016, + "learning_rate": 3.69e-05, + "loss": 8.2724, + "reason_loss": NaN, + "step": 3700 + }, + { + "decision_loss": 3.5961, + "encoder_mlm_loss": 0.596, + "epoch": 0.19, + "grad_norm": 15.367920875549316, + "learning_rate": 3.74e-05, + "loss": 8.1541, + "reason_loss": NaN, + "step": 3750 + }, + { + "decision_loss": 3.438, + "encoder_mlm_loss": 0.6147, + "epoch": 0.2, + "grad_norm": 13.092328071594238, + "learning_rate": 3.79e-05, + "loss": 8.0694, + "reason_loss": NaN, + "step": 3800 + }, + { + "decision_loss": 3.3987, + "encoder_mlm_loss": 0.6024, + "epoch": 0.2, + "grad_norm": 14.642455101013184, + "learning_rate": 3.8400000000000005e-05, + "loss": 7.8633, + "reason_loss": NaN, + "step": 3850 + }, + { + "decision_loss": 3.3564, + "encoder_mlm_loss": 0.5611, + "epoch": 0.2, + "grad_norm": 14.328669548034668, + "learning_rate": 3.8900000000000004e-05, + "loss": 7.4975, + "reason_loss": NaN, + "step": 3900 + }, + { + "decision_loss": 3.4611, + "encoder_mlm_loss": 0.6012, + "epoch": 0.2, + "grad_norm": 13.032312393188477, + "learning_rate": 3.94e-05, + "loss": 7.4354, + "reason_loss": NaN, + "step": 3950 + }, + { + "decision_loss": 3.3266, + "encoder_mlm_loss": 0.6198, + "epoch": 0.21, + "grad_norm": 13.335681915283203, + "learning_rate": 3.99e-05, + "loss": 7.3149, + "reason_loss": NaN, + "step": 4000 + }, + { + "decision_loss": 3.3579, + "encoder_mlm_loss": 0.589, + "epoch": 0.21, + "grad_norm": 13.334540367126465, + "learning_rate": 4.0400000000000006e-05, + "loss": 7.2804, + "reason_loss": NaN, + "step": 4050 + }, + { + "decision_loss": 3.4332, + "encoder_mlm_loss": 0.5642, + "epoch": 0.21, + "grad_norm": 13.725900650024414, + "learning_rate": 4.09e-05, + "loss": 7.2422, + "reason_loss": NaN, + "step": 4100 + }, + { + "decision_loss": 3.3579, + "encoder_mlm_loss": 0.638, + "epoch": 0.21, + "grad_norm": 12.601729393005371, + "learning_rate": 4.14e-05, + "loss": 7.2021, + "reason_loss": NaN, + "step": 4150 + }, + { + "decision_loss": 3.3385, + "encoder_mlm_loss": 0.6249, + "epoch": 0.22, + "grad_norm": 14.782654762268066, + "learning_rate": 4.19e-05, + "loss": 7.1519, + "reason_loss": NaN, + "step": 4200 + }, + { + "decision_loss": 3.2423, + "encoder_mlm_loss": 0.572, + "epoch": 0.22, + "grad_norm": 10.786784172058105, + "learning_rate": 4.24e-05, + "loss": 7.0259, + "reason_loss": NaN, + "step": 4250 + }, + { + "decision_loss": 3.4216, + "encoder_mlm_loss": 0.6259, + "epoch": 0.22, + "grad_norm": 14.012487411499023, + "learning_rate": 4.29e-05, + "loss": 6.8396, + "reason_loss": NaN, + "step": 4300 + }, + { + "decision_loss": 3.294, + "encoder_mlm_loss": 0.6021, + "epoch": 0.22, + "grad_norm": 13.132121086120605, + "learning_rate": 4.3400000000000005e-05, + "loss": 6.7559, + "reason_loss": NaN, + "step": 4350 + }, + { + "decision_loss": 3.2271, + "encoder_mlm_loss": 0.6381, + "epoch": 0.23, + "grad_norm": 14.553518295288086, + "learning_rate": 4.39e-05, + "loss": 6.8517, + "reason_loss": 2.5116, + "step": 4400 + }, + { + "decision_loss": 3.1722, + "encoder_mlm_loss": 0.5848, + "epoch": 0.23, + "grad_norm": 13.60247802734375, + "learning_rate": 4.44e-05, + "loss": 6.6558, + "reason_loss": NaN, + "step": 4450 + }, + { + "decision_loss": 3.3701, + "encoder_mlm_loss": 0.6151, + "epoch": 0.23, + "grad_norm": 14.23380184173584, + "learning_rate": 4.49e-05, + "loss": 6.6485, + "reason_loss": NaN, + "step": 4500 + }, + { + "decision_loss": 3.214, + "encoder_mlm_loss": 0.5903, + "epoch": 0.23, + "grad_norm": 12.637818336486816, + "learning_rate": 4.5400000000000006e-05, + "loss": 6.6434, + "reason_loss": NaN, + "step": 4550 + }, + { + "decision_loss": 3.4377, + "encoder_mlm_loss": 0.5688, + "epoch": 0.24, + "grad_norm": 12.161514282226562, + "learning_rate": 4.5900000000000004e-05, + "loss": 6.558, + "reason_loss": NaN, + "step": 4600 + }, + { + "decision_loss": 3.2337, + "encoder_mlm_loss": 0.5745, + "epoch": 0.24, + "grad_norm": 10.774749755859375, + "learning_rate": 4.64e-05, + "loss": 6.4569, + "reason_loss": NaN, + "step": 4650 + }, + { + "decision_loss": 3.1934, + "encoder_mlm_loss": 0.6216, + "epoch": 0.24, + "grad_norm": 12.889678001403809, + "learning_rate": 4.69e-05, + "loss": 6.588, + "reason_loss": NaN, + "step": 4700 + }, + { + "decision_loss": 3.2473, + "encoder_mlm_loss": 0.598, + "epoch": 0.24, + "grad_norm": 12.259153366088867, + "learning_rate": 4.74e-05, + "loss": 6.506, + "reason_loss": NaN, + "step": 4750 + }, + { + "decision_loss": 3.3514, + "encoder_mlm_loss": 0.5984, + "epoch": 0.25, + "grad_norm": 13.196783065795898, + "learning_rate": 4.79e-05, + "loss": 6.4249, + "reason_loss": NaN, + "step": 4800 + }, + { + "decision_loss": 3.125, + "encoder_mlm_loss": 0.5777, + "epoch": 0.25, + "grad_norm": 12.129148483276367, + "learning_rate": 4.8400000000000004e-05, + "loss": 6.1404, + "reason_loss": NaN, + "step": 4850 + }, + { + "decision_loss": 3.184, + "encoder_mlm_loss": 0.5889, + "epoch": 0.25, + "grad_norm": 12.139684677124023, + "learning_rate": 4.89e-05, + "loss": 6.1487, + "reason_loss": NaN, + "step": 4900 + }, + { + "decision_loss": 3.2688, + "encoder_mlm_loss": 0.583, + "epoch": 0.26, + "grad_norm": 12.38558578491211, + "learning_rate": 4.94e-05, + "loss": 6.2462, + "reason_loss": NaN, + "step": 4950 + }, + { + "decision_loss": 3.0885, + "encoder_mlm_loss": 0.5828, + "epoch": 0.26, + "grad_norm": 12.759172439575195, + "learning_rate": 4.99e-05, + "loss": 6.2834, + "reason_loss": NaN, + "step": 5000 + }, + { + "decision_loss": 3.1414, + "encoder_mlm_loss": 0.5995, + "epoch": 0.26, + "grad_norm": 13.554661750793457, + "learning_rate": 4.986107252014449e-05, + "loss": 6.158, + "reason_loss": NaN, + "step": 5050 + }, + { + "decision_loss": 3.0832, + "encoder_mlm_loss": 0.5885, + "epoch": 0.26, + "grad_norm": 14.811614990234375, + "learning_rate": 4.9687413170325095e-05, + "loss": 6.0866, + "reason_loss": NaN, + "step": 5100 + }, + { + "decision_loss": 3.0845, + "encoder_mlm_loss": 0.5737, + "epoch": 0.27, + "grad_norm": 11.42420482635498, + "learning_rate": 4.9513753820505696e-05, + "loss": 6.0264, + "reason_loss": NaN, + "step": 5150 + }, + { + "decision_loss": 3.0805, + "encoder_mlm_loss": 0.583, + "epoch": 0.27, + "grad_norm": 12.164910316467285, + "learning_rate": 4.9340094470686304e-05, + "loss": 6.0071, + "reason_loss": NaN, + "step": 5200 + }, + { + "decision_loss": 3.0178, + "encoder_mlm_loss": 0.5798, + "epoch": 0.27, + "grad_norm": 12.894425392150879, + "learning_rate": 4.916643512086691e-05, + "loss": 5.9767, + "reason_loss": NaN, + "step": 5250 + }, + { + "decision_loss": 2.9613, + "encoder_mlm_loss": 0.5629, + "epoch": 0.27, + "grad_norm": 12.356279373168945, + "learning_rate": 4.899277577104751e-05, + "loss": 5.9532, + "reason_loss": NaN, + "step": 5300 + }, + { + "decision_loss": 2.9668, + "encoder_mlm_loss": 0.5662, + "epoch": 0.28, + "grad_norm": 12.371698379516602, + "learning_rate": 4.881911642122812e-05, + "loss": 5.9129, + "reason_loss": NaN, + "step": 5350 + }, + { + "decision_loss": 2.8377, + "encoder_mlm_loss": 0.5764, + "epoch": 0.28, + "grad_norm": 11.876270294189453, + "learning_rate": 4.864545707140873e-05, + "loss": 5.7633, + "reason_loss": NaN, + "step": 5400 + }, + { + "decision_loss": 3.0811, + "encoder_mlm_loss": 0.5976, + "epoch": 0.28, + "grad_norm": 11.529359817504883, + "learning_rate": 4.847179772158934e-05, + "loss": 5.9185, + "reason_loss": NaN, + "step": 5450 + }, + { + "decision_loss": 2.931, + "encoder_mlm_loss": 0.5827, + "epoch": 0.28, + "grad_norm": 12.832273483276367, + "learning_rate": 4.829813837176994e-05, + "loss": 5.9475, + "reason_loss": NaN, + "step": 5500 + }, + { + "decision_loss": 2.9643, + "encoder_mlm_loss": 0.5972, + "epoch": 0.29, + "grad_norm": 12.522998809814453, + "learning_rate": 4.812447902195054e-05, + "loss": 5.9335, + "reason_loss": NaN, + "step": 5550 + }, + { + "decision_loss": 2.9406, + "encoder_mlm_loss": 0.5756, + "epoch": 0.29, + "grad_norm": 11.039345741271973, + "learning_rate": 4.795081967213115e-05, + "loss": 5.7175, + "reason_loss": NaN, + "step": 5600 + }, + { + "decision_loss": 2.8629, + "encoder_mlm_loss": 0.5527, + "epoch": 0.29, + "grad_norm": 12.582688331604004, + "learning_rate": 4.7777160322311755e-05, + "loss": 5.6501, + "reason_loss": NaN, + "step": 5650 + }, + { + "decision_loss": 2.8334, + "encoder_mlm_loss": 0.5859, + "epoch": 0.29, + "grad_norm": 12.082906723022461, + "learning_rate": 4.760350097249236e-05, + "loss": 5.7244, + "reason_loss": NaN, + "step": 5700 + }, + { + "decision_loss": 2.8741, + "encoder_mlm_loss": 0.5826, + "epoch": 0.3, + "grad_norm": 11.20120620727539, + "learning_rate": 4.7429841622672964e-05, + "loss": 5.6161, + "reason_loss": NaN, + "step": 5750 + }, + { + "decision_loss": 2.9188, + "encoder_mlm_loss": 0.5634, + "epoch": 0.3, + "grad_norm": 13.118001937866211, + "learning_rate": 4.725618227285357e-05, + "loss": 5.6669, + "reason_loss": NaN, + "step": 5800 + }, + { + "decision_loss": 2.9045, + "encoder_mlm_loss": 0.5613, + "epoch": 0.3, + "grad_norm": 11.6439208984375, + "learning_rate": 4.708252292303418e-05, + "loss": 5.6609, + "reason_loss": NaN, + "step": 5850 + }, + { + "decision_loss": 2.9099, + "encoder_mlm_loss": 0.5681, + "epoch": 0.3, + "grad_norm": 11.001469612121582, + "learning_rate": 4.690886357321478e-05, + "loss": 5.5608, + "reason_loss": NaN, + "step": 5900 + }, + { + "decision_loss": 2.8081, + "encoder_mlm_loss": 0.5748, + "epoch": 0.31, + "grad_norm": 11.262368202209473, + "learning_rate": 4.673520422339539e-05, + "loss": 5.6866, + "reason_loss": NaN, + "step": 5950 + }, + { + "decision_loss": 2.9234, + "encoder_mlm_loss": 0.5752, + "epoch": 0.31, + "grad_norm": 15.921095848083496, + "learning_rate": 4.6561544873576e-05, + "loss": 5.4638, + "reason_loss": NaN, + "step": 6000 + }, + { + "decision_loss": 2.8734, + "encoder_mlm_loss": 0.5436, + "epoch": 0.31, + "grad_norm": 11.366347312927246, + "learning_rate": 4.6387885523756605e-05, + "loss": 5.4932, + "reason_loss": NaN, + "step": 6050 + }, + { + "decision_loss": 2.8849, + "encoder_mlm_loss": 0.5758, + "epoch": 0.31, + "grad_norm": 13.834676742553711, + "learning_rate": 4.6214226173937206e-05, + "loss": 5.5872, + "reason_loss": NaN, + "step": 6100 + }, + { + "decision_loss": 2.8112, + "encoder_mlm_loss": 0.5829, + "epoch": 0.32, + "grad_norm": 12.526769638061523, + "learning_rate": 4.6040566824117814e-05, + "loss": 5.4441, + "reason_loss": NaN, + "step": 6150 + }, + { + "decision_loss": 2.7713, + "encoder_mlm_loss": 0.5631, + "epoch": 0.32, + "grad_norm": 11.834070205688477, + "learning_rate": 4.586690747429842e-05, + "loss": 5.4597, + "reason_loss": NaN, + "step": 6200 + }, + { + "decision_loss": 2.8737, + "encoder_mlm_loss": 0.5454, + "epoch": 0.32, + "grad_norm": 10.592991828918457, + "learning_rate": 4.569324812447903e-05, + "loss": 5.4016, + "reason_loss": NaN, + "step": 6250 + }, + { + "decision_loss": 2.7021, + "encoder_mlm_loss": 0.5667, + "epoch": 0.32, + "grad_norm": 11.339573860168457, + "learning_rate": 4.5519588774659624e-05, + "loss": 5.5297, + "reason_loss": NaN, + "step": 6300 + }, + { + "decision_loss": 2.8387, + "encoder_mlm_loss": 0.5498, + "epoch": 0.33, + "grad_norm": 14.197671890258789, + "learning_rate": 4.534592942484023e-05, + "loss": 5.3895, + "reason_loss": 1.7433, + "step": 6350 + }, + { + "decision_loss": 2.6152, + "encoder_mlm_loss": 0.555, + "epoch": 0.33, + "grad_norm": 12.190983772277832, + "learning_rate": 4.517227007502084e-05, + "loss": 5.342, + "reason_loss": NaN, + "step": 6400 + }, + { + "decision_loss": 2.8126, + "encoder_mlm_loss": 0.5843, + "epoch": 0.33, + "grad_norm": 20.80158805847168, + "learning_rate": 4.499861072520145e-05, + "loss": 5.4744, + "reason_loss": NaN, + "step": 6450 + }, + { + "decision_loss": 2.8011, + "encoder_mlm_loss": 0.5559, + "epoch": 0.34, + "grad_norm": 10.541352272033691, + "learning_rate": 4.482495137538205e-05, + "loss": 5.3561, + "reason_loss": NaN, + "step": 6500 + }, + { + "decision_loss": 2.7874, + "encoder_mlm_loss": 0.5694, + "epoch": 0.34, + "grad_norm": 15.321596145629883, + "learning_rate": 4.465129202556266e-05, + "loss": 5.3279, + "reason_loss": NaN, + "step": 6550 + }, + { + "decision_loss": 2.7497, + "encoder_mlm_loss": 0.5539, + "epoch": 0.34, + "grad_norm": 12.009075164794922, + "learning_rate": 4.4477632675743265e-05, + "loss": 5.3333, + "reason_loss": NaN, + "step": 6600 + }, + { + "decision_loss": 2.641, + "encoder_mlm_loss": 0.5661, + "epoch": 0.34, + "grad_norm": 19.22854995727539, + "learning_rate": 4.430397332592387e-05, + "loss": 5.3703, + "reason_loss": NaN, + "step": 6650 + }, + { + "decision_loss": 2.6307, + "encoder_mlm_loss": 0.541, + "epoch": 0.35, + "grad_norm": 11.551212310791016, + "learning_rate": 4.4130313976104474e-05, + "loss": 5.3032, + "reason_loss": NaN, + "step": 6700 + }, + { + "decision_loss": 2.852, + "encoder_mlm_loss": 0.5668, + "epoch": 0.35, + "grad_norm": 11.5441312789917, + "learning_rate": 4.395665462628508e-05, + "loss": 5.38, + "reason_loss": NaN, + "step": 6750 + }, + { + "decision_loss": 2.7921, + "encoder_mlm_loss": 0.5515, + "epoch": 0.35, + "grad_norm": 10.488402366638184, + "learning_rate": 4.378299527646569e-05, + "loss": 5.211, + "reason_loss": NaN, + "step": 6800 + }, + { + "decision_loss": 2.7793, + "encoder_mlm_loss": 0.5353, + "epoch": 0.35, + "grad_norm": 11.62839412689209, + "learning_rate": 4.36093359266463e-05, + "loss": 5.2583, + "reason_loss": NaN, + "step": 6850 + }, + { + "decision_loss": 2.5967, + "encoder_mlm_loss": 0.5202, + "epoch": 0.36, + "grad_norm": 11.641283988952637, + "learning_rate": 4.34356765768269e-05, + "loss": 5.1396, + "reason_loss": NaN, + "step": 6900 + }, + { + "decision_loss": 2.6503, + "encoder_mlm_loss": 0.5485, + "epoch": 0.36, + "grad_norm": 12.255797386169434, + "learning_rate": 4.3262017227007506e-05, + "loss": 5.2417, + "reason_loss": NaN, + "step": 6950 + }, + { + "decision_loss": 2.6204, + "encoder_mlm_loss": 0.5421, + "epoch": 0.36, + "grad_norm": 10.042210578918457, + "learning_rate": 4.3088357877188114e-05, + "loss": 5.1232, + "reason_loss": NaN, + "step": 7000 + }, + { + "decision_loss": 2.7291, + "encoder_mlm_loss": 0.5607, + "epoch": 0.36, + "grad_norm": 10.926862716674805, + "learning_rate": 4.2914698527368716e-05, + "loss": 5.1705, + "reason_loss": NaN, + "step": 7050 + }, + { + "decision_loss": 2.7328, + "encoder_mlm_loss": 0.5431, + "epoch": 0.37, + "grad_norm": 11.532885551452637, + "learning_rate": 4.274103917754932e-05, + "loss": 5.0906, + "reason_loss": NaN, + "step": 7100 + }, + { + "decision_loss": 2.5302, + "encoder_mlm_loss": 0.531, + "epoch": 0.37, + "grad_norm": 11.01016902923584, + "learning_rate": 4.2567379827729925e-05, + "loss": 4.9902, + "reason_loss": NaN, + "step": 7150 + }, + { + "decision_loss": 2.7506, + "encoder_mlm_loss": 0.5675, + "epoch": 0.37, + "grad_norm": 11.220144271850586, + "learning_rate": 4.239372047791053e-05, + "loss": 5.2234, + "reason_loss": NaN, + "step": 7200 + }, + { + "decision_loss": 2.6282, + "encoder_mlm_loss": 0.5864, + "epoch": 0.37, + "grad_norm": 10.498862266540527, + "learning_rate": 4.222006112809114e-05, + "loss": 5.1675, + "reason_loss": NaN, + "step": 7250 + }, + { + "decision_loss": 2.5942, + "encoder_mlm_loss": 0.5078, + "epoch": 0.38, + "grad_norm": 11.325239181518555, + "learning_rate": 4.204640177827174e-05, + "loss": 5.093, + "reason_loss": NaN, + "step": 7300 + }, + { + "decision_loss": 2.6822, + "encoder_mlm_loss": 0.509, + "epoch": 0.38, + "grad_norm": 10.894235610961914, + "learning_rate": 4.187274242845235e-05, + "loss": 5.1333, + "reason_loss": NaN, + "step": 7350 + }, + { + "decision_loss": 2.6609, + "encoder_mlm_loss": 0.5532, + "epoch": 0.38, + "grad_norm": 10.849638938903809, + "learning_rate": 4.169908307863296e-05, + "loss": 5.0219, + "reason_loss": NaN, + "step": 7400 + }, + { + "decision_loss": 2.7642, + "encoder_mlm_loss": 0.5628, + "epoch": 0.38, + "grad_norm": 9.63953685760498, + "learning_rate": 4.152542372881356e-05, + "loss": 5.0, + "reason_loss": NaN, + "step": 7450 + }, + { + "decision_loss": 2.629, + "encoder_mlm_loss": 0.5054, + "epoch": 0.39, + "grad_norm": 12.991473197937012, + "learning_rate": 4.1351764378994166e-05, + "loss": 5.0013, + "reason_loss": NaN, + "step": 7500 + }, + { + "decision_loss": 2.6034, + "encoder_mlm_loss": 0.5576, + "epoch": 0.39, + "grad_norm": 11.331198692321777, + "learning_rate": 4.1178105029174774e-05, + "loss": 5.1522, + "reason_loss": NaN, + "step": 7550 + }, + { + "decision_loss": 2.5915, + "encoder_mlm_loss": 0.5671, + "epoch": 0.39, + "grad_norm": 10.665949821472168, + "learning_rate": 4.100444567935538e-05, + "loss": 4.9226, + "reason_loss": NaN, + "step": 7600 + }, + { + "decision_loss": 2.6619, + "encoder_mlm_loss": 0.5314, + "epoch": 0.39, + "grad_norm": 9.840173721313477, + "learning_rate": 4.083078632953598e-05, + "loss": 4.98, + "reason_loss": NaN, + "step": 7650 + }, + { + "decision_loss": 2.7066, + "encoder_mlm_loss": 0.5427, + "epoch": 0.4, + "grad_norm": 10.543719291687012, + "learning_rate": 4.065712697971659e-05, + "loss": 4.9124, + "reason_loss": NaN, + "step": 7700 + }, + { + "decision_loss": 2.5665, + "encoder_mlm_loss": 0.5278, + "epoch": 0.4, + "grad_norm": 11.529766082763672, + "learning_rate": 4.04834676298972e-05, + "loss": 4.9287, + "reason_loss": NaN, + "step": 7750 + }, + { + "decision_loss": 2.5556, + "encoder_mlm_loss": 0.5677, + "epoch": 0.4, + "grad_norm": 11.010191917419434, + "learning_rate": 4.03098082800778e-05, + "loss": 4.9821, + "reason_loss": NaN, + "step": 7800 + }, + { + "decision_loss": 2.5638, + "encoder_mlm_loss": 0.5572, + "epoch": 0.4, + "grad_norm": 11.854859352111816, + "learning_rate": 4.013614893025841e-05, + "loss": 4.8495, + "reason_loss": NaN, + "step": 7850 + }, + { + "decision_loss": 2.5787, + "encoder_mlm_loss": 0.524, + "epoch": 0.41, + "grad_norm": 15.032380104064941, + "learning_rate": 3.996248958043901e-05, + "loss": 4.9092, + "reason_loss": NaN, + "step": 7900 + }, + { + "decision_loss": 2.6208, + "encoder_mlm_loss": 0.5749, + "epoch": 0.41, + "grad_norm": 10.260398864746094, + "learning_rate": 3.978883023061962e-05, + "loss": 4.96, + "reason_loss": NaN, + "step": 7950 + }, + { + "decision_loss": 2.5406, + "encoder_mlm_loss": 0.5159, + "epoch": 0.41, + "grad_norm": 10.527961730957031, + "learning_rate": 3.9615170880800225e-05, + "loss": 5.0116, + "reason_loss": NaN, + "step": 8000 + }, + { + "decision_loss": 2.5387, + "encoder_mlm_loss": 0.56, + "epoch": 0.42, + "grad_norm": 10.906159400939941, + "learning_rate": 3.9441511530980826e-05, + "loss": 4.9037, + "reason_loss": NaN, + "step": 8050 + }, + { + "decision_loss": 2.5531, + "encoder_mlm_loss": 0.5345, + "epoch": 0.42, + "grad_norm": 11.020978927612305, + "learning_rate": 3.9267852181161434e-05, + "loss": 4.7901, + "reason_loss": NaN, + "step": 8100 + }, + { + "decision_loss": 2.3603, + "encoder_mlm_loss": 0.5403, + "epoch": 0.42, + "grad_norm": 9.852022171020508, + "learning_rate": 3.909419283134204e-05, + "loss": 4.8887, + "reason_loss": NaN, + "step": 8150 + }, + { + "decision_loss": 2.5552, + "encoder_mlm_loss": 0.5263, + "epoch": 0.42, + "grad_norm": 10.380234718322754, + "learning_rate": 3.892053348152265e-05, + "loss": 4.823, + "reason_loss": NaN, + "step": 8200 + }, + { + "decision_loss": 2.483, + "encoder_mlm_loss": 0.5314, + "epoch": 0.43, + "grad_norm": 15.00808334350586, + "learning_rate": 3.874687413170325e-05, + "loss": 4.8393, + "reason_loss": NaN, + "step": 8250 + }, + { + "decision_loss": 2.5897, + "encoder_mlm_loss": 0.5297, + "epoch": 0.43, + "grad_norm": 11.162062644958496, + "learning_rate": 3.857321478188386e-05, + "loss": 4.8635, + "reason_loss": NaN, + "step": 8300 + }, + { + "decision_loss": 2.5224, + "encoder_mlm_loss": 0.5486, + "epoch": 0.43, + "grad_norm": 10.835860252380371, + "learning_rate": 3.8403028619060855e-05, + "loss": 4.7197, + "reason_loss": NaN, + "step": 8350 + }, + { + "decision_loss": 2.5729, + "encoder_mlm_loss": 0.5287, + "epoch": 0.43, + "grad_norm": 10.745417594909668, + "learning_rate": 3.8229369269241456e-05, + "loss": 4.863, + "reason_loss": NaN, + "step": 8400 + }, + { + "decision_loss": 2.5483, + "encoder_mlm_loss": 0.4999, + "epoch": 0.44, + "grad_norm": 11.162773132324219, + "learning_rate": 3.8055709919422064e-05, + "loss": 4.7945, + "reason_loss": NaN, + "step": 8450 + }, + { + "decision_loss": 2.4687, + "encoder_mlm_loss": 0.5278, + "epoch": 0.44, + "grad_norm": 9.60230541229248, + "learning_rate": 3.7882050569602665e-05, + "loss": 4.9069, + "reason_loss": NaN, + "step": 8500 + }, + { + "decision_loss": 2.5931, + "encoder_mlm_loss": 0.5477, + "epoch": 0.44, + "grad_norm": 10.537424087524414, + "learning_rate": 3.770839121978327e-05, + "loss": 4.81, + "reason_loss": NaN, + "step": 8550 + }, + { + "decision_loss": 2.5087, + "encoder_mlm_loss": 0.5229, + "epoch": 0.44, + "grad_norm": 10.352331161499023, + "learning_rate": 3.753473186996388e-05, + "loss": 4.7803, + "reason_loss": NaN, + "step": 8600 + }, + { + "decision_loss": 2.5849, + "encoder_mlm_loss": 0.5264, + "epoch": 0.45, + "grad_norm": 11.812186241149902, + "learning_rate": 3.736107252014449e-05, + "loss": 4.8995, + "reason_loss": NaN, + "step": 8650 + }, + { + "decision_loss": 2.5873, + "encoder_mlm_loss": 0.5366, + "epoch": 0.45, + "grad_norm": 10.932312965393066, + "learning_rate": 3.718741317032509e-05, + "loss": 4.9043, + "reason_loss": NaN, + "step": 8700 + }, + { + "decision_loss": 2.5046, + "encoder_mlm_loss": 0.5356, + "epoch": 0.45, + "grad_norm": 12.284061431884766, + "learning_rate": 3.70137538205057e-05, + "loss": 4.79, + "reason_loss": NaN, + "step": 8750 + }, + { + "decision_loss": 2.4967, + "encoder_mlm_loss": 0.5345, + "epoch": 0.45, + "grad_norm": 11.007719993591309, + "learning_rate": 3.6840094470686305e-05, + "loss": 4.7234, + "reason_loss": NaN, + "step": 8800 + }, + { + "decision_loss": 2.4628, + "encoder_mlm_loss": 0.5338, + "epoch": 0.46, + "grad_norm": 10.874073028564453, + "learning_rate": 3.6666435120866907e-05, + "loss": 4.7151, + "reason_loss": NaN, + "step": 8850 + }, + { + "decision_loss": 2.4878, + "encoder_mlm_loss": 0.5206, + "epoch": 0.46, + "grad_norm": 10.251517295837402, + "learning_rate": 3.6492775771047514e-05, + "loss": 4.7856, + "reason_loss": NaN, + "step": 8900 + }, + { + "decision_loss": 2.3386, + "encoder_mlm_loss": 0.5355, + "epoch": 0.46, + "grad_norm": 12.211389541625977, + "learning_rate": 3.631911642122812e-05, + "loss": 4.6161, + "reason_loss": NaN, + "step": 8950 + }, + { + "decision_loss": 2.385, + "encoder_mlm_loss": 0.5152, + "epoch": 0.46, + "grad_norm": 10.806251525878906, + "learning_rate": 3.614545707140873e-05, + "loss": 4.7703, + "reason_loss": NaN, + "step": 9000 + }, + { + "decision_loss": 2.4064, + "encoder_mlm_loss": 0.5589, + "epoch": 0.47, + "grad_norm": 10.69713020324707, + "learning_rate": 3.597179772158933e-05, + "loss": 4.6229, + "reason_loss": NaN, + "step": 9050 + }, + { + "decision_loss": 2.5413, + "encoder_mlm_loss": 0.5165, + "epoch": 0.47, + "grad_norm": 10.956335067749023, + "learning_rate": 3.579813837176994e-05, + "loss": 4.8993, + "reason_loss": NaN, + "step": 9100 + }, + { + "decision_loss": 2.4698, + "encoder_mlm_loss": 0.5077, + "epoch": 0.47, + "grad_norm": 10.868124961853027, + "learning_rate": 3.562447902195054e-05, + "loss": 4.6673, + "reason_loss": NaN, + "step": 9150 + }, + { + "decision_loss": 2.4918, + "encoder_mlm_loss": 0.5106, + "epoch": 0.47, + "grad_norm": 10.498440742492676, + "learning_rate": 3.545081967213115e-05, + "loss": 4.7566, + "reason_loss": NaN, + "step": 9200 + }, + { + "decision_loss": 2.4684, + "encoder_mlm_loss": 0.5478, + "epoch": 0.48, + "grad_norm": 9.486736297607422, + "learning_rate": 3.5277160322311756e-05, + "loss": 4.7814, + "reason_loss": NaN, + "step": 9250 + }, + { + "decision_loss": 2.4031, + "encoder_mlm_loss": 0.5311, + "epoch": 0.48, + "grad_norm": 10.80704116821289, + "learning_rate": 3.510350097249236e-05, + "loss": 4.6901, + "reason_loss": NaN, + "step": 9300 + }, + { + "decision_loss": 2.4332, + "encoder_mlm_loss": 0.5448, + "epoch": 0.48, + "grad_norm": 13.817115783691406, + "learning_rate": 3.4929841622672965e-05, + "loss": 4.5975, + "reason_loss": NaN, + "step": 9350 + }, + { + "decision_loss": 2.5099, + "encoder_mlm_loss": 0.5268, + "epoch": 0.48, + "grad_norm": 11.08284854888916, + "learning_rate": 3.475618227285357e-05, + "loss": 4.7289, + "reason_loss": NaN, + "step": 9400 + }, + { + "decision_loss": 2.3983, + "encoder_mlm_loss": 0.5269, + "epoch": 0.49, + "grad_norm": 10.758065223693848, + "learning_rate": 3.4582522923034174e-05, + "loss": 4.5931, + "reason_loss": NaN, + "step": 9450 + }, + { + "decision_loss": 2.4453, + "encoder_mlm_loss": 0.539, + "epoch": 0.49, + "grad_norm": 12.486990928649902, + "learning_rate": 3.440886357321478e-05, + "loss": 4.7225, + "reason_loss": NaN, + "step": 9500 + }, + { + "decision_loss": 2.4529, + "encoder_mlm_loss": 0.5225, + "epoch": 0.49, + "grad_norm": 10.317234992980957, + "learning_rate": 3.423520422339539e-05, + "loss": 4.6519, + "reason_loss": NaN, + "step": 9550 + }, + { + "decision_loss": 2.5537, + "encoder_mlm_loss": 0.5198, + "epoch": 0.49, + "grad_norm": 10.231575012207031, + "learning_rate": 3.4061544873576e-05, + "loss": 4.6996, + "reason_loss": NaN, + "step": 9600 + }, + { + "decision_loss": 2.4312, + "encoder_mlm_loss": 0.5115, + "epoch": 0.5, + "grad_norm": 11.516695976257324, + "learning_rate": 3.38878855237566e-05, + "loss": 4.7901, + "reason_loss": NaN, + "step": 9650 + }, + { + "decision_loss": 2.3535, + "encoder_mlm_loss": 0.5464, + "epoch": 0.5, + "grad_norm": 10.423235893249512, + "learning_rate": 3.371422617393721e-05, + "loss": 4.67, + "reason_loss": NaN, + "step": 9700 + }, + { + "decision_loss": 2.3405, + "encoder_mlm_loss": 0.5209, + "epoch": 0.5, + "grad_norm": 10.108226776123047, + "learning_rate": 3.3540566824117815e-05, + "loss": 4.6348, + "reason_loss": NaN, + "step": 9750 + }, + { + "decision_loss": 2.4064, + "encoder_mlm_loss": 0.5045, + "epoch": 0.51, + "grad_norm": 12.5283203125, + "learning_rate": 3.336690747429842e-05, + "loss": 4.6198, + "reason_loss": NaN, + "step": 9800 + }, + { + "decision_loss": 2.3878, + "encoder_mlm_loss": 0.4968, + "epoch": 0.51, + "grad_norm": 10.635274887084961, + "learning_rate": 3.3193248124479024e-05, + "loss": 4.6017, + "reason_loss": NaN, + "step": 9850 + }, + { + "decision_loss": 2.4227, + "encoder_mlm_loss": 0.5368, + "epoch": 0.51, + "grad_norm": 11.512763977050781, + "learning_rate": 3.3019588774659625e-05, + "loss": 4.5901, + "reason_loss": NaN, + "step": 9900 + }, + { + "decision_loss": 2.5284, + "encoder_mlm_loss": 0.5259, + "epoch": 0.51, + "grad_norm": 9.88230037689209, + "learning_rate": 3.284592942484023e-05, + "loss": 4.5671, + "reason_loss": NaN, + "step": 9950 + }, + { + "decision_loss": 2.3601, + "encoder_mlm_loss": 0.5258, + "epoch": 0.52, + "grad_norm": 11.324311256408691, + "learning_rate": 3.267227007502084e-05, + "loss": 4.5307, + "reason_loss": NaN, + "step": 10000 + }, + { + "decision_loss": 2.2871, + "encoder_mlm_loss": 0.5113, + "epoch": 0.52, + "grad_norm": 11.137092590332031, + "learning_rate": 3.249861072520144e-05, + "loss": 4.6016, + "reason_loss": NaN, + "step": 10050 + }, + { + "decision_loss": 2.4347, + "encoder_mlm_loss": 0.5186, + "epoch": 0.52, + "grad_norm": 12.242900848388672, + "learning_rate": 3.232495137538205e-05, + "loss": 4.697, + "reason_loss": NaN, + "step": 10100 + }, + { + "decision_loss": 2.3998, + "encoder_mlm_loss": 0.5311, + "epoch": 0.52, + "grad_norm": 12.156739234924316, + "learning_rate": 3.215129202556266e-05, + "loss": 4.5704, + "reason_loss": NaN, + "step": 10150 + }, + { + "decision_loss": 2.5238, + "encoder_mlm_loss": 0.5182, + "epoch": 0.53, + "grad_norm": 9.229127883911133, + "learning_rate": 3.1977632675743266e-05, + "loss": 4.5861, + "reason_loss": NaN, + "step": 10200 + }, + { + "decision_loss": 2.378, + "encoder_mlm_loss": 0.5352, + "epoch": 0.53, + "grad_norm": 10.308478355407715, + "learning_rate": 3.180397332592387e-05, + "loss": 4.5989, + "reason_loss": NaN, + "step": 10250 + }, + { + "decision_loss": 2.4153, + "encoder_mlm_loss": 0.4822, + "epoch": 0.53, + "grad_norm": 10.68014144897461, + "learning_rate": 3.1630313976104475e-05, + "loss": 4.5126, + "reason_loss": NaN, + "step": 10300 + }, + { + "decision_loss": 2.4028, + "encoder_mlm_loss": 0.5217, + "epoch": 0.53, + "grad_norm": 10.47494125366211, + "learning_rate": 3.145665462628508e-05, + "loss": 4.5665, + "reason_loss": NaN, + "step": 10350 + }, + { + "decision_loss": 2.3192, + "encoder_mlm_loss": 0.5054, + "epoch": 0.54, + "grad_norm": 12.187615394592285, + "learning_rate": 3.128299527646569e-05, + "loss": 4.4394, + "reason_loss": NaN, + "step": 10400 + }, + { + "decision_loss": 2.3345, + "encoder_mlm_loss": 0.514, + "epoch": 0.54, + "grad_norm": 10.271819114685059, + "learning_rate": 3.110933592664629e-05, + "loss": 4.574, + "reason_loss": NaN, + "step": 10450 + }, + { + "decision_loss": 2.1869, + "encoder_mlm_loss": 0.49, + "epoch": 0.54, + "grad_norm": 10.244134902954102, + "learning_rate": 3.09356765768269e-05, + "loss": 4.3925, + "reason_loss": NaN, + "step": 10500 + }, + { + "decision_loss": 2.5201, + "encoder_mlm_loss": 0.4986, + "epoch": 0.54, + "grad_norm": 9.698922157287598, + "learning_rate": 3.076201722700751e-05, + "loss": 4.5421, + "reason_loss": NaN, + "step": 10550 + }, + { + "decision_loss": 2.3565, + "encoder_mlm_loss": 0.4935, + "epoch": 0.55, + "grad_norm": 10.40183162689209, + "learning_rate": 3.058835787718811e-05, + "loss": 4.5004, + "reason_loss": NaN, + "step": 10600 + }, + { + "decision_loss": 2.2853, + "encoder_mlm_loss": 0.4831, + "epoch": 0.55, + "grad_norm": 10.580133438110352, + "learning_rate": 3.0414698527368713e-05, + "loss": 4.5389, + "reason_loss": NaN, + "step": 10650 + }, + { + "decision_loss": 2.3804, + "encoder_mlm_loss": 0.4932, + "epoch": 0.55, + "grad_norm": 10.064751625061035, + "learning_rate": 3.0241039177549318e-05, + "loss": 4.5354, + "reason_loss": NaN, + "step": 10700 + }, + { + "decision_loss": 2.4321, + "encoder_mlm_loss": 0.4953, + "epoch": 0.55, + "grad_norm": 11.207749366760254, + "learning_rate": 3.0067379827729926e-05, + "loss": 4.5193, + "reason_loss": NaN, + "step": 10750 + }, + { + "decision_loss": 2.4432, + "encoder_mlm_loss": 0.5103, + "epoch": 0.56, + "grad_norm": 9.562568664550781, + "learning_rate": 2.989372047791053e-05, + "loss": 4.4666, + "reason_loss": NaN, + "step": 10800 + }, + { + "decision_loss": 2.3398, + "encoder_mlm_loss": 0.4874, + "epoch": 0.56, + "grad_norm": 10.37126350402832, + "learning_rate": 2.9720061128091138e-05, + "loss": 4.401, + "reason_loss": 1.3739, + "step": 10850 + }, + { + "decision_loss": 2.2467, + "encoder_mlm_loss": 0.4961, + "epoch": 0.56, + "grad_norm": 10.654061317443848, + "learning_rate": 2.9546401778271743e-05, + "loss": 4.5209, + "reason_loss": NaN, + "step": 10900 + }, + { + "decision_loss": 2.3339, + "encoder_mlm_loss": 0.5158, + "epoch": 0.56, + "grad_norm": 9.291821479797363, + "learning_rate": 2.937274242845235e-05, + "loss": 4.5287, + "reason_loss": NaN, + "step": 10950 + }, + { + "decision_loss": 2.4592, + "encoder_mlm_loss": 0.504, + "epoch": 0.57, + "grad_norm": 21.14087677001953, + "learning_rate": 2.9199083078632955e-05, + "loss": 4.4862, + "reason_loss": NaN, + "step": 11000 + }, + { + "decision_loss": 2.4528, + "encoder_mlm_loss": 0.5224, + "epoch": 0.57, + "grad_norm": 14.19636058807373, + "learning_rate": 2.902542372881356e-05, + "loss": 4.5173, + "reason_loss": NaN, + "step": 11050 + }, + { + "decision_loss": 2.227, + "encoder_mlm_loss": 0.5062, + "epoch": 0.57, + "grad_norm": 10.437397956848145, + "learning_rate": 2.8851764378994167e-05, + "loss": 4.416, + "reason_loss": NaN, + "step": 11100 + }, + { + "decision_loss": 2.3802, + "encoder_mlm_loss": 0.4667, + "epoch": 0.57, + "grad_norm": 10.666945457458496, + "learning_rate": 2.8678105029174772e-05, + "loss": 4.5593, + "reason_loss": NaN, + "step": 11150 + }, + { + "decision_loss": 2.4548, + "encoder_mlm_loss": 0.5221, + "epoch": 0.58, + "grad_norm": 10.959080696105957, + "learning_rate": 2.850444567935538e-05, + "loss": 4.363, + "reason_loss": NaN, + "step": 11200 + }, + { + "decision_loss": 2.3382, + "encoder_mlm_loss": 0.4761, + "epoch": 0.58, + "grad_norm": 9.787275314331055, + "learning_rate": 2.8330786329535984e-05, + "loss": 4.5643, + "reason_loss": NaN, + "step": 11250 + }, + { + "decision_loss": 2.3277, + "encoder_mlm_loss": 0.4821, + "epoch": 0.58, + "grad_norm": 9.431136131286621, + "learning_rate": 2.8157126979716592e-05, + "loss": 4.4429, + "reason_loss": NaN, + "step": 11300 + }, + { + "decision_loss": 2.3421, + "encoder_mlm_loss": 0.4861, + "epoch": 0.59, + "grad_norm": 9.479231834411621, + "learning_rate": 2.7983467629897197e-05, + "loss": 4.4545, + "reason_loss": NaN, + "step": 11350 + }, + { + "decision_loss": 2.2753, + "encoder_mlm_loss": 0.5042, + "epoch": 0.59, + "grad_norm": 11.047704696655273, + "learning_rate": 2.7813281467074186e-05, + "loss": 4.3748, + "reason_loss": NaN, + "step": 11400 + }, + { + "decision_loss": 2.2527, + "encoder_mlm_loss": 0.5045, + "epoch": 0.59, + "grad_norm": 11.358301162719727, + "learning_rate": 2.7639622117254794e-05, + "loss": 4.5086, + "reason_loss": NaN, + "step": 11450 + }, + { + "decision_loss": 2.3986, + "encoder_mlm_loss": 0.5054, + "epoch": 0.59, + "grad_norm": 12.649896621704102, + "learning_rate": 2.7465962767435398e-05, + "loss": 4.394, + "reason_loss": NaN, + "step": 11500 + }, + { + "decision_loss": 2.3123, + "encoder_mlm_loss": 0.5175, + "epoch": 0.6, + "grad_norm": 17.416446685791016, + "learning_rate": 2.7292303417616006e-05, + "loss": 4.4608, + "reason_loss": NaN, + "step": 11550 + }, + { + "decision_loss": 2.3739, + "encoder_mlm_loss": 0.4938, + "epoch": 0.6, + "grad_norm": 10.390993118286133, + "learning_rate": 2.711864406779661e-05, + "loss": 4.3458, + "reason_loss": NaN, + "step": 11600 + }, + { + "decision_loss": 2.3226, + "encoder_mlm_loss": 0.4896, + "epoch": 0.6, + "grad_norm": 11.228699684143066, + "learning_rate": 2.694498471797722e-05, + "loss": 4.505, + "reason_loss": NaN, + "step": 11650 + }, + { + "decision_loss": 2.2692, + "encoder_mlm_loss": 0.502, + "epoch": 0.6, + "grad_norm": 10.9651517868042, + "learning_rate": 2.6771325368157823e-05, + "loss": 4.3374, + "reason_loss": NaN, + "step": 11700 + }, + { + "decision_loss": 2.252, + "encoder_mlm_loss": 0.4922, + "epoch": 0.61, + "grad_norm": 16.753633499145508, + "learning_rate": 2.659766601833843e-05, + "loss": 4.332, + "reason_loss": NaN, + "step": 11750 + }, + { + "decision_loss": 2.3924, + "encoder_mlm_loss": 0.5105, + "epoch": 0.61, + "grad_norm": 11.315303802490234, + "learning_rate": 2.6424006668519035e-05, + "loss": 4.3855, + "reason_loss": NaN, + "step": 11800 + }, + { + "decision_loss": 2.2546, + "encoder_mlm_loss": 0.5138, + "epoch": 0.61, + "grad_norm": 10.216447830200195, + "learning_rate": 2.6250347318699643e-05, + "loss": 4.4484, + "reason_loss": NaN, + "step": 11850 + }, + { + "decision_loss": 2.4346, + "encoder_mlm_loss": 0.524, + "epoch": 0.61, + "grad_norm": 10.381539344787598, + "learning_rate": 2.6076687968880248e-05, + "loss": 4.4378, + "reason_loss": NaN, + "step": 11900 + }, + { + "decision_loss": 2.4519, + "encoder_mlm_loss": 0.5054, + "epoch": 0.62, + "grad_norm": 15.222419738769531, + "learning_rate": 2.5903028619060856e-05, + "loss": 4.5089, + "reason_loss": NaN, + "step": 11950 + }, + { + "decision_loss": 2.3408, + "encoder_mlm_loss": 0.5097, + "epoch": 0.62, + "grad_norm": 10.49439525604248, + "learning_rate": 2.5729369269241453e-05, + "loss": 4.3041, + "reason_loss": NaN, + "step": 12000 + }, + { + "decision_loss": 2.3097, + "encoder_mlm_loss": 0.486, + "epoch": 0.62, + "grad_norm": 10.5269136428833, + "learning_rate": 2.555570991942206e-05, + "loss": 4.3974, + "reason_loss": NaN, + "step": 12050 + }, + { + "decision_loss": 2.3363, + "encoder_mlm_loss": 0.517, + "epoch": 0.62, + "grad_norm": 10.9442138671875, + "learning_rate": 2.5382050569602666e-05, + "loss": 4.3362, + "reason_loss": NaN, + "step": 12100 + }, + { + "decision_loss": 2.2017, + "encoder_mlm_loss": 0.5125, + "epoch": 0.63, + "grad_norm": 10.069433212280273, + "learning_rate": 2.5208391219783274e-05, + "loss": 4.4084, + "reason_loss": NaN, + "step": 12150 + }, + { + "decision_loss": 2.3537, + "encoder_mlm_loss": 0.5052, + "epoch": 0.63, + "grad_norm": 10.322944641113281, + "learning_rate": 2.5034731869963878e-05, + "loss": 4.4116, + "reason_loss": NaN, + "step": 12200 + }, + { + "decision_loss": 2.4167, + "encoder_mlm_loss": 0.5104, + "epoch": 0.63, + "grad_norm": 9.33908462524414, + "learning_rate": 2.4861072520144486e-05, + "loss": 4.4243, + "reason_loss": NaN, + "step": 12250 + }, + { + "decision_loss": 2.3596, + "encoder_mlm_loss": 0.4972, + "epoch": 0.63, + "grad_norm": 21.888282775878906, + "learning_rate": 2.468741317032509e-05, + "loss": 4.3607, + "reason_loss": NaN, + "step": 12300 + }, + { + "decision_loss": 2.3476, + "encoder_mlm_loss": 0.4891, + "epoch": 0.64, + "grad_norm": 10.44153118133545, + "learning_rate": 2.45137538205057e-05, + "loss": 4.4001, + "reason_loss": NaN, + "step": 12350 + }, + { + "decision_loss": 2.2677, + "encoder_mlm_loss": 0.4686, + "epoch": 0.64, + "grad_norm": 10.878878593444824, + "learning_rate": 2.4340094470686303e-05, + "loss": 4.2944, + "reason_loss": NaN, + "step": 12400 + }, + { + "decision_loss": 2.3666, + "encoder_mlm_loss": 0.495, + "epoch": 0.64, + "grad_norm": 10.5595121383667, + "learning_rate": 2.4166435120866908e-05, + "loss": 4.243, + "reason_loss": NaN, + "step": 12450 + }, + { + "decision_loss": 2.2113, + "encoder_mlm_loss": 0.4877, + "epoch": 0.64, + "grad_norm": 10.240670204162598, + "learning_rate": 2.3992775771047516e-05, + "loss": 4.321, + "reason_loss": NaN, + "step": 12500 + }, + { + "decision_loss": 2.2091, + "encoder_mlm_loss": 0.5136, + "epoch": 0.65, + "grad_norm": 10.264183044433594, + "learning_rate": 2.381911642122812e-05, + "loss": 4.5137, + "reason_loss": NaN, + "step": 12550 + }, + { + "decision_loss": 2.3554, + "encoder_mlm_loss": 0.4939, + "epoch": 0.65, + "grad_norm": 9.599092483520508, + "learning_rate": 2.3645457071408725e-05, + "loss": 4.1951, + "reason_loss": NaN, + "step": 12600 + }, + { + "decision_loss": 2.3426, + "encoder_mlm_loss": 0.5021, + "epoch": 0.65, + "grad_norm": 10.048467636108398, + "learning_rate": 2.3471797721589332e-05, + "loss": 4.3319, + "reason_loss": NaN, + "step": 12650 + }, + { + "decision_loss": 2.4104, + "encoder_mlm_loss": 0.5072, + "epoch": 0.65, + "grad_norm": 9.640985488891602, + "learning_rate": 2.3298138371769937e-05, + "loss": 4.4168, + "reason_loss": NaN, + "step": 12700 + }, + { + "decision_loss": 2.3776, + "encoder_mlm_loss": 0.4877, + "epoch": 0.66, + "grad_norm": 11.355530738830566, + "learning_rate": 2.312447902195054e-05, + "loss": 4.4094, + "reason_loss": NaN, + "step": 12750 + }, + { + "decision_loss": 2.2999, + "encoder_mlm_loss": 0.506, + "epoch": 0.66, + "grad_norm": 9.723401069641113, + "learning_rate": 2.295081967213115e-05, + "loss": 4.3139, + "reason_loss": NaN, + "step": 12800 + }, + { + "decision_loss": 2.1432, + "encoder_mlm_loss": 0.4898, + "epoch": 0.66, + "grad_norm": 9.709599494934082, + "learning_rate": 2.2777160322311754e-05, + "loss": 4.3763, + "reason_loss": NaN, + "step": 12850 + }, + { + "decision_loss": 2.2003, + "encoder_mlm_loss": 0.4835, + "epoch": 0.67, + "grad_norm": 10.115660667419434, + "learning_rate": 2.2603500972492362e-05, + "loss": 4.262, + "reason_loss": NaN, + "step": 12900 + }, + { + "decision_loss": 2.2885, + "encoder_mlm_loss": 0.5165, + "epoch": 0.67, + "grad_norm": 9.499692916870117, + "learning_rate": 2.2429841622672963e-05, + "loss": 4.3976, + "reason_loss": NaN, + "step": 12950 + }, + { + "decision_loss": 2.3993, + "encoder_mlm_loss": 0.49, + "epoch": 0.67, + "grad_norm": 10.184179306030273, + "learning_rate": 2.225618227285357e-05, + "loss": 4.3492, + "reason_loss": NaN, + "step": 13000 + }, + { + "decision_loss": 2.3194, + "encoder_mlm_loss": 0.5021, + "epoch": 0.67, + "grad_norm": 10.164281845092773, + "learning_rate": 2.2082522923034175e-05, + "loss": 4.2254, + "reason_loss": NaN, + "step": 13050 + }, + { + "decision_loss": 2.202, + "encoder_mlm_loss": 0.4979, + "epoch": 0.68, + "grad_norm": 10.495577812194824, + "learning_rate": 2.1908863573214783e-05, + "loss": 4.2881, + "reason_loss": NaN, + "step": 13100 + }, + { + "decision_loss": 2.3032, + "encoder_mlm_loss": 0.5051, + "epoch": 0.68, + "grad_norm": 11.644469261169434, + "learning_rate": 2.1735204223395388e-05, + "loss": 4.2034, + "reason_loss": NaN, + "step": 13150 + }, + { + "decision_loss": 2.2369, + "encoder_mlm_loss": 0.494, + "epoch": 0.68, + "grad_norm": 10.125290870666504, + "learning_rate": 2.1561544873575996e-05, + "loss": 4.2488, + "reason_loss": NaN, + "step": 13200 + }, + { + "decision_loss": 2.2961, + "encoder_mlm_loss": 0.4633, + "epoch": 0.68, + "grad_norm": 9.7282075881958, + "learning_rate": 2.13878855237566e-05, + "loss": 4.3103, + "reason_loss": NaN, + "step": 13250 + }, + { + "decision_loss": 2.2269, + "encoder_mlm_loss": 0.5088, + "epoch": 0.69, + "grad_norm": 10.021200180053711, + "learning_rate": 2.1214226173937205e-05, + "loss": 4.2561, + "reason_loss": NaN, + "step": 13300 + }, + { + "decision_loss": 2.2716, + "encoder_mlm_loss": 0.4972, + "epoch": 0.69, + "grad_norm": 9.810166358947754, + "learning_rate": 2.104056682411781e-05, + "loss": 4.2693, + "reason_loss": NaN, + "step": 13350 + }, + { + "decision_loss": 2.4064, + "encoder_mlm_loss": 0.5313, + "epoch": 0.69, + "grad_norm": 9.662689208984375, + "learning_rate": 2.0866907474298417e-05, + "loss": 4.2489, + "reason_loss": NaN, + "step": 13400 + }, + { + "decision_loss": 2.2747, + "encoder_mlm_loss": 0.4795, + "epoch": 0.69, + "grad_norm": 9.8899507522583, + "learning_rate": 2.0693248124479022e-05, + "loss": 4.3083, + "reason_loss": NaN, + "step": 13450 + }, + { + "decision_loss": 2.1515, + "encoder_mlm_loss": 0.4694, + "epoch": 0.7, + "grad_norm": 10.865926742553711, + "learning_rate": 2.051958877465963e-05, + "loss": 4.2286, + "reason_loss": NaN, + "step": 13500 + }, + { + "decision_loss": 2.2069, + "encoder_mlm_loss": 0.4688, + "epoch": 0.7, + "grad_norm": 11.5147123336792, + "learning_rate": 2.0345929424840234e-05, + "loss": 4.2459, + "reason_loss": NaN, + "step": 13550 + }, + { + "decision_loss": 2.196, + "encoder_mlm_loss": 0.4853, + "epoch": 0.7, + "grad_norm": 10.14575481414795, + "learning_rate": 2.0172270075020842e-05, + "loss": 4.2824, + "reason_loss": NaN, + "step": 13600 + }, + { + "decision_loss": 2.0801, + "encoder_mlm_loss": 0.4571, + "epoch": 0.7, + "grad_norm": 10.563467979431152, + "learning_rate": 1.9998610725201447e-05, + "loss": 4.2221, + "reason_loss": NaN, + "step": 13650 + }, + { + "decision_loss": 2.2988, + "encoder_mlm_loss": 0.5028, + "epoch": 0.71, + "grad_norm": 11.101655006408691, + "learning_rate": 1.982495137538205e-05, + "loss": 4.3191, + "reason_loss": NaN, + "step": 13700 + }, + { + "decision_loss": 2.1795, + "encoder_mlm_loss": 0.4518, + "epoch": 0.71, + "grad_norm": 9.590519905090332, + "learning_rate": 1.9651292025562656e-05, + "loss": 4.2817, + "reason_loss": NaN, + "step": 13750 + }, + { + "decision_loss": 2.2984, + "encoder_mlm_loss": 0.4861, + "epoch": 0.71, + "grad_norm": 9.86621379852295, + "learning_rate": 1.9477632675743263e-05, + "loss": 4.3165, + "reason_loss": NaN, + "step": 13800 + }, + { + "decision_loss": 2.36, + "encoder_mlm_loss": 0.4777, + "epoch": 0.71, + "grad_norm": 10.772181510925293, + "learning_rate": 1.9303973325923868e-05, + "loss": 4.2868, + "reason_loss": NaN, + "step": 13850 + }, + { + "decision_loss": 2.3243, + "encoder_mlm_loss": 0.4844, + "epoch": 0.72, + "grad_norm": 11.583396911621094, + "learning_rate": 1.9130313976104476e-05, + "loss": 4.2421, + "reason_loss": NaN, + "step": 13900 + }, + { + "decision_loss": 2.1823, + "encoder_mlm_loss": 0.4749, + "epoch": 0.72, + "grad_norm": 10.409939765930176, + "learning_rate": 1.895665462628508e-05, + "loss": 4.2622, + "reason_loss": NaN, + "step": 13950 + }, + { + "decision_loss": 2.1868, + "encoder_mlm_loss": 0.5075, + "epoch": 0.72, + "grad_norm": 9.551398277282715, + "learning_rate": 1.878299527646569e-05, + "loss": 4.2983, + "reason_loss": NaN, + "step": 14000 + }, + { + "decision_loss": 2.1898, + "encoder_mlm_loss": 0.4868, + "epoch": 0.72, + "grad_norm": 10.858856201171875, + "learning_rate": 1.860933592664629e-05, + "loss": 4.2047, + "reason_loss": NaN, + "step": 14050 + }, + { + "decision_loss": 2.3408, + "encoder_mlm_loss": 0.4726, + "epoch": 0.73, + "grad_norm": 9.92735481262207, + "learning_rate": 1.8435676576826897e-05, + "loss": 4.3045, + "reason_loss": NaN, + "step": 14100 + }, + { + "decision_loss": 2.1705, + "encoder_mlm_loss": 0.4829, + "epoch": 0.73, + "grad_norm": 9.894718170166016, + "learning_rate": 1.8262017227007502e-05, + "loss": 4.1323, + "reason_loss": NaN, + "step": 14150 + }, + { + "decision_loss": 2.2165, + "encoder_mlm_loss": 0.4986, + "epoch": 0.73, + "grad_norm": 9.643003463745117, + "learning_rate": 1.808835787718811e-05, + "loss": 4.1831, + "reason_loss": NaN, + "step": 14200 + }, + { + "decision_loss": 2.219, + "encoder_mlm_loss": 0.5092, + "epoch": 0.73, + "grad_norm": 10.380711555480957, + "learning_rate": 1.7914698527368714e-05, + "loss": 4.2177, + "reason_loss": NaN, + "step": 14250 + }, + { + "decision_loss": 2.2572, + "encoder_mlm_loss": 0.4603, + "epoch": 0.74, + "grad_norm": 10.050085067749023, + "learning_rate": 1.7741039177549322e-05, + "loss": 4.2955, + "reason_loss": NaN, + "step": 14300 + }, + { + "decision_loss": 2.3477, + "encoder_mlm_loss": 0.4771, + "epoch": 0.74, + "grad_norm": 11.214825630187988, + "learning_rate": 1.7567379827729927e-05, + "loss": 4.1521, + "reason_loss": NaN, + "step": 14350 + }, + { + "decision_loss": 2.1234, + "encoder_mlm_loss": 0.4793, + "epoch": 0.74, + "grad_norm": 10.145916938781738, + "learning_rate": 1.739372047791053e-05, + "loss": 4.1726, + "reason_loss": NaN, + "step": 14400 + }, + { + "decision_loss": 2.2479, + "encoder_mlm_loss": 0.4941, + "epoch": 0.74, + "grad_norm": 11.086326599121094, + "learning_rate": 1.7220061128091136e-05, + "loss": 4.2883, + "reason_loss": NaN, + "step": 14450 + }, + { + "decision_loss": 2.0809, + "encoder_mlm_loss": 0.4895, + "epoch": 0.75, + "grad_norm": 9.647579193115234, + "learning_rate": 1.7046401778271744e-05, + "loss": 4.0984, + "reason_loss": NaN, + "step": 14500 + }, + { + "decision_loss": 2.2474, + "encoder_mlm_loss": 0.4863, + "epoch": 0.75, + "grad_norm": 9.199592590332031, + "learning_rate": 1.6872742428452348e-05, + "loss": 4.145, + "reason_loss": NaN, + "step": 14550 + }, + { + "decision_loss": 2.2259, + "encoder_mlm_loss": 0.467, + "epoch": 0.75, + "grad_norm": 10.98985767364502, + "learning_rate": 1.6699083078632953e-05, + "loss": 4.2657, + "reason_loss": NaN, + "step": 14600 + }, + { + "decision_loss": 2.3778, + "encoder_mlm_loss": 0.4754, + "epoch": 0.76, + "grad_norm": 12.066682815551758, + "learning_rate": 1.652542372881356e-05, + "loss": 4.2173, + "reason_loss": NaN, + "step": 14650 + }, + { + "decision_loss": 2.292, + "encoder_mlm_loss": 0.4871, + "epoch": 0.76, + "grad_norm": 11.109633445739746, + "learning_rate": 1.6351764378994165e-05, + "loss": 4.2824, + "reason_loss": NaN, + "step": 14700 + }, + { + "decision_loss": 2.3616, + "encoder_mlm_loss": 0.4859, + "epoch": 0.76, + "grad_norm": 10.090713500976562, + "learning_rate": 1.6178105029174773e-05, + "loss": 4.2862, + "reason_loss": NaN, + "step": 14750 + }, + { + "decision_loss": 2.23, + "encoder_mlm_loss": 0.488, + "epoch": 0.76, + "grad_norm": 12.84520149230957, + "learning_rate": 1.6004445679355378e-05, + "loss": 4.3239, + "reason_loss": NaN, + "step": 14800 + }, + { + "decision_loss": 2.199, + "encoder_mlm_loss": 0.4561, + "epoch": 0.77, + "grad_norm": 13.205440521240234, + "learning_rate": 1.5830786329535982e-05, + "loss": 4.2294, + "reason_loss": NaN, + "step": 14850 + }, + { + "decision_loss": 2.2446, + "encoder_mlm_loss": 0.4848, + "epoch": 0.77, + "grad_norm": 10.617562294006348, + "learning_rate": 1.5657126979716587e-05, + "loss": 4.1444, + "reason_loss": NaN, + "step": 14900 + }, + { + "decision_loss": 2.2661, + "encoder_mlm_loss": 0.4872, + "epoch": 0.77, + "grad_norm": 10.414337158203125, + "learning_rate": 1.5483467629897195e-05, + "loss": 4.0975, + "reason_loss": NaN, + "step": 14950 + }, + { + "decision_loss": 2.1838, + "encoder_mlm_loss": 0.4605, + "epoch": 0.77, + "grad_norm": 9.546090126037598, + "learning_rate": 1.53098082800778e-05, + "loss": 4.2057, + "reason_loss": NaN, + "step": 15000 + }, + { + "decision_loss": 2.284, + "encoder_mlm_loss": 0.4937, + "epoch": 0.78, + "grad_norm": 10.734001159667969, + "learning_rate": 1.5136148930258407e-05, + "loss": 4.204, + "reason_loss": NaN, + "step": 15050 + }, + { + "decision_loss": 2.2667, + "encoder_mlm_loss": 0.4813, + "epoch": 0.78, + "grad_norm": 11.810020446777344, + "learning_rate": 1.4962489580439013e-05, + "loss": 4.3455, + "reason_loss": NaN, + "step": 15100 + }, + { + "decision_loss": 2.272, + "encoder_mlm_loss": 0.4816, + "epoch": 0.78, + "grad_norm": 9.174554824829102, + "learning_rate": 1.478883023061962e-05, + "loss": 4.3054, + "reason_loss": NaN, + "step": 15150 + }, + { + "decision_loss": 2.2562, + "encoder_mlm_loss": 0.4649, + "epoch": 0.78, + "grad_norm": 10.114463806152344, + "learning_rate": 1.4615170880800222e-05, + "loss": 4.1423, + "reason_loss": NaN, + "step": 15200 + }, + { + "decision_loss": 2.2579, + "encoder_mlm_loss": 0.4779, + "epoch": 0.79, + "grad_norm": 9.515824317932129, + "learning_rate": 1.4441511530980828e-05, + "loss": 4.2965, + "reason_loss": NaN, + "step": 15250 + }, + { + "decision_loss": 2.2857, + "encoder_mlm_loss": 0.456, + "epoch": 0.79, + "grad_norm": 10.084831237792969, + "learning_rate": 1.4267852181161435e-05, + "loss": 4.1492, + "reason_loss": NaN, + "step": 15300 + }, + { + "decision_loss": 2.1108, + "encoder_mlm_loss": 0.4592, + "epoch": 0.79, + "grad_norm": 10.310980796813965, + "learning_rate": 1.409419283134204e-05, + "loss": 4.255, + "reason_loss": NaN, + "step": 15350 + }, + { + "decision_loss": 2.3223, + "encoder_mlm_loss": 0.4853, + "epoch": 0.79, + "grad_norm": 10.398266792297363, + "learning_rate": 1.3920533481522647e-05, + "loss": 4.2794, + "reason_loss": NaN, + "step": 15400 + }, + { + "decision_loss": 2.1705, + "encoder_mlm_loss": 0.484, + "epoch": 0.8, + "grad_norm": 9.45158576965332, + "learning_rate": 1.3746874131703252e-05, + "loss": 4.1371, + "reason_loss": NaN, + "step": 15450 + }, + { + "decision_loss": 2.2301, + "encoder_mlm_loss": 0.4763, + "epoch": 0.8, + "grad_norm": 10.345832824707031, + "learning_rate": 1.3573214781883858e-05, + "loss": 4.1141, + "reason_loss": NaN, + "step": 15500 + }, + { + "decision_loss": 2.1053, + "encoder_mlm_loss": 0.4808, + "epoch": 0.8, + "grad_norm": 10.891772270202637, + "learning_rate": 1.3399555432064462e-05, + "loss": 4.0825, + "reason_loss": NaN, + "step": 15550 + }, + { + "decision_loss": 2.1519, + "encoder_mlm_loss": 0.4767, + "epoch": 0.8, + "grad_norm": 9.94306755065918, + "learning_rate": 1.3225896082245068e-05, + "loss": 4.0361, + "reason_loss": NaN, + "step": 15600 + }, + { + "decision_loss": 2.4022, + "encoder_mlm_loss": 0.4708, + "epoch": 0.81, + "grad_norm": 10.663613319396973, + "learning_rate": 1.3052236732425675e-05, + "loss": 4.2401, + "reason_loss": NaN, + "step": 15650 + }, + { + "decision_loss": 2.1628, + "encoder_mlm_loss": 0.4709, + "epoch": 0.81, + "grad_norm": 10.070218086242676, + "learning_rate": 1.287857738260628e-05, + "loss": 4.098, + "reason_loss": NaN, + "step": 15700 + }, + { + "decision_loss": 2.1725, + "encoder_mlm_loss": 0.4752, + "epoch": 0.81, + "grad_norm": 10.272323608398438, + "learning_rate": 1.2704918032786885e-05, + "loss": 4.1846, + "reason_loss": NaN, + "step": 15750 + }, + { + "decision_loss": 2.1207, + "encoder_mlm_loss": 0.4822, + "epoch": 0.81, + "grad_norm": 10.824825286865234, + "learning_rate": 1.2531258682967492e-05, + "loss": 4.0792, + "reason_loss": NaN, + "step": 15800 + }, + { + "decision_loss": 2.1834, + "encoder_mlm_loss": 0.4447, + "epoch": 0.82, + "grad_norm": 10.454733848571777, + "learning_rate": 1.2357599333148096e-05, + "loss": 4.2325, + "reason_loss": NaN, + "step": 15850 + }, + { + "decision_loss": 2.164, + "encoder_mlm_loss": 0.4736, + "epoch": 0.82, + "grad_norm": 9.149787902832031, + "learning_rate": 1.2183939983328702e-05, + "loss": 4.1617, + "reason_loss": NaN, + "step": 15900 + }, + { + "decision_loss": 2.2075, + "encoder_mlm_loss": 0.4746, + "epoch": 0.82, + "grad_norm": 10.008898735046387, + "learning_rate": 1.2010280633509309e-05, + "loss": 4.0822, + "reason_loss": NaN, + "step": 15950 + }, + { + "decision_loss": 2.1779, + "encoder_mlm_loss": 0.4737, + "epoch": 0.82, + "grad_norm": 9.24558162689209, + "learning_rate": 1.1836621283689913e-05, + "loss": 4.104, + "reason_loss": NaN, + "step": 16000 + }, + { + "decision_loss": 2.1552, + "encoder_mlm_loss": 0.4443, + "epoch": 0.83, + "grad_norm": 10.271194458007812, + "learning_rate": 1.166296193387052e-05, + "loss": 4.1249, + "reason_loss": NaN, + "step": 16050 + }, + { + "decision_loss": 2.2418, + "encoder_mlm_loss": 0.476, + "epoch": 0.83, + "grad_norm": 11.877102851867676, + "learning_rate": 1.1489302584051126e-05, + "loss": 4.1547, + "reason_loss": NaN, + "step": 16100 + }, + { + "decision_loss": 2.0779, + "encoder_mlm_loss": 0.4786, + "epoch": 0.83, + "grad_norm": 11.429306983947754, + "learning_rate": 1.1315643234231732e-05, + "loss": 4.0876, + "reason_loss": NaN, + "step": 16150 + }, + { + "decision_loss": 2.178, + "encoder_mlm_loss": 0.4587, + "epoch": 0.84, + "grad_norm": 9.763303756713867, + "learning_rate": 1.1141983884412336e-05, + "loss": 4.1172, + "reason_loss": NaN, + "step": 16200 + }, + { + "decision_loss": 2.1244, + "encoder_mlm_loss": 0.4733, + "epoch": 0.84, + "grad_norm": 9.711063385009766, + "learning_rate": 1.0968324534592942e-05, + "loss": 4.2619, + "reason_loss": NaN, + "step": 16250 + }, + { + "decision_loss": 2.2836, + "encoder_mlm_loss": 0.4826, + "epoch": 0.84, + "grad_norm": 9.272294044494629, + "learning_rate": 1.0794665184773549e-05, + "loss": 4.1551, + "reason_loss": NaN, + "step": 16300 + }, + { + "decision_loss": 2.1646, + "encoder_mlm_loss": 0.4682, + "epoch": 0.84, + "grad_norm": 13.107208251953125, + "learning_rate": 1.0621005834954155e-05, + "loss": 4.1731, + "reason_loss": NaN, + "step": 16350 + }, + { + "decision_loss": 2.3081, + "encoder_mlm_loss": 0.4661, + "epoch": 0.85, + "grad_norm": 9.991193771362305, + "learning_rate": 1.044734648513476e-05, + "loss": 4.225, + "reason_loss": NaN, + "step": 16400 + }, + { + "decision_loss": 2.3434, + "encoder_mlm_loss": 0.4999, + "epoch": 0.85, + "grad_norm": 10.09374713897705, + "learning_rate": 1.0273687135315366e-05, + "loss": 4.1445, + "reason_loss": NaN, + "step": 16450 + }, + { + "decision_loss": 2.1455, + "encoder_mlm_loss": 0.4582, + "epoch": 0.85, + "grad_norm": 11.907501220703125, + "learning_rate": 1.0100027785495972e-05, + "loss": 4.0988, + "reason_loss": NaN, + "step": 16500 + }, + { + "decision_loss": 2.1118, + "encoder_mlm_loss": 0.456, + "epoch": 0.85, + "grad_norm": 10.339010238647461, + "learning_rate": 9.926368435676578e-06, + "loss": 4.0563, + "reason_loss": NaN, + "step": 16550 + }, + { + "decision_loss": 2.2369, + "encoder_mlm_loss": 0.4785, + "epoch": 0.86, + "grad_norm": 11.294181823730469, + "learning_rate": 9.752709085857183e-06, + "loss": 4.0886, + "reason_loss": NaN, + "step": 16600 + }, + { + "decision_loss": 2.1362, + "encoder_mlm_loss": 0.4651, + "epoch": 0.86, + "grad_norm": 9.752805709838867, + "learning_rate": 9.579049736037789e-06, + "loss": 4.2024, + "reason_loss": NaN, + "step": 16650 + }, + { + "decision_loss": 2.1695, + "encoder_mlm_loss": 0.4615, + "epoch": 0.86, + "grad_norm": 9.915719985961914, + "learning_rate": 9.405390386218395e-06, + "loss": 4.1516, + "reason_loss": NaN, + "step": 16700 + }, + { + "decision_loss": 2.1229, + "encoder_mlm_loss": 0.4496, + "epoch": 0.86, + "grad_norm": 10.295191764831543, + "learning_rate": 9.231731036399e-06, + "loss": 4.0744, + "reason_loss": NaN, + "step": 16750 + }, + { + "decision_loss": 2.0994, + "encoder_mlm_loss": 0.4744, + "epoch": 0.87, + "grad_norm": 9.025927543640137, + "learning_rate": 9.058071686579606e-06, + "loss": 4.1056, + "reason_loss": NaN, + "step": 16800 + }, + { + "decision_loss": 2.3615, + "encoder_mlm_loss": 0.4828, + "epoch": 0.87, + "grad_norm": 10.910390853881836, + "learning_rate": 8.884412336760212e-06, + "loss": 4.098, + "reason_loss": NaN, + "step": 16850 + }, + { + "decision_loss": 2.2499, + "encoder_mlm_loss": 0.4482, + "epoch": 0.87, + "grad_norm": 10.158785820007324, + "learning_rate": 8.710752986940818e-06, + "loss": 4.0801, + "reason_loss": NaN, + "step": 16900 + }, + { + "decision_loss": 2.259, + "encoder_mlm_loss": 0.4799, + "epoch": 0.87, + "grad_norm": 10.046515464782715, + "learning_rate": 8.537093637121423e-06, + "loss": 4.0939, + "reason_loss": NaN, + "step": 16950 + }, + { + "decision_loss": 2.311, + "encoder_mlm_loss": 0.4741, + "epoch": 0.88, + "grad_norm": 11.217142105102539, + "learning_rate": 8.363434287302029e-06, + "loss": 4.211, + "reason_loss": NaN, + "step": 17000 + }, + { + "decision_loss": 2.1602, + "encoder_mlm_loss": 0.483, + "epoch": 0.88, + "grad_norm": 10.031744003295898, + "learning_rate": 8.189774937482635e-06, + "loss": 4.2076, + "reason_loss": NaN, + "step": 17050 + }, + { + "decision_loss": 2.1981, + "encoder_mlm_loss": 0.4738, + "epoch": 0.88, + "grad_norm": 9.74100399017334, + "learning_rate": 8.016115587663241e-06, + "loss": 4.1243, + "reason_loss": NaN, + "step": 17100 + }, + { + "decision_loss": 2.0827, + "encoder_mlm_loss": 0.4343, + "epoch": 0.88, + "grad_norm": 10.940787315368652, + "learning_rate": 7.842456237843846e-06, + "loss": 4.1619, + "reason_loss": NaN, + "step": 17150 + }, + { + "decision_loss": 2.1925, + "encoder_mlm_loss": 0.4737, + "epoch": 0.89, + "grad_norm": 9.71260929107666, + "learning_rate": 7.668796888024452e-06, + "loss": 4.1807, + "reason_loss": NaN, + "step": 17200 + }, + { + "decision_loss": 2.013, + "encoder_mlm_loss": 0.4542, + "epoch": 0.89, + "grad_norm": 14.651382446289062, + "learning_rate": 7.495137538205057e-06, + "loss": 4.0187, + "reason_loss": NaN, + "step": 17250 + }, + { + "decision_loss": 2.1625, + "encoder_mlm_loss": 0.4688, + "epoch": 0.89, + "grad_norm": 9.133673667907715, + "learning_rate": 7.321478188385664e-06, + "loss": 3.9995, + "reason_loss": NaN, + "step": 17300 + }, + { + "decision_loss": 2.2081, + "encoder_mlm_loss": 0.4961, + "epoch": 0.89, + "grad_norm": 10.863176345825195, + "learning_rate": 7.147818838566268e-06, + "loss": 4.127, + "reason_loss": NaN, + "step": 17350 + }, + { + "decision_loss": 2.2125, + "encoder_mlm_loss": 0.4484, + "epoch": 0.9, + "grad_norm": 9.56596851348877, + "learning_rate": 6.974159488746874e-06, + "loss": 4.1691, + "reason_loss": NaN, + "step": 17400 + }, + { + "decision_loss": 1.9912, + "encoder_mlm_loss": 0.4631, + "epoch": 0.9, + "grad_norm": 9.751823425292969, + "learning_rate": 6.8005001389274806e-06, + "loss": 4.0431, + "reason_loss": NaN, + "step": 17450 + }, + { + "decision_loss": 2.1434, + "encoder_mlm_loss": 0.4535, + "epoch": 0.9, + "grad_norm": 11.732806205749512, + "learning_rate": 6.626840789108085e-06, + "loss": 4.1323, + "reason_loss": NaN, + "step": 17500 + }, + { + "decision_loss": 2.1993, + "encoder_mlm_loss": 0.447, + "epoch": 0.9, + "grad_norm": 9.667863845825195, + "learning_rate": 6.453181439288691e-06, + "loss": 4.1652, + "reason_loss": NaN, + "step": 17550 + }, + { + "decision_loss": 2.1847, + "encoder_mlm_loss": 0.4521, + "epoch": 0.91, + "grad_norm": 10.698508262634277, + "learning_rate": 6.2795220894692975e-06, + "loss": 3.9859, + "reason_loss": NaN, + "step": 17600 + }, + { + "decision_loss": 2.2392, + "encoder_mlm_loss": 0.4419, + "epoch": 0.91, + "grad_norm": 10.42066764831543, + "learning_rate": 6.105862739649903e-06, + "loss": 4.1219, + "reason_loss": 1.1305, + "step": 17650 + }, + { + "decision_loss": 2.1109, + "encoder_mlm_loss": 0.4651, + "epoch": 0.91, + "grad_norm": 10.604533195495605, + "learning_rate": 5.932203389830509e-06, + "loss": 4.0701, + "reason_loss": NaN, + "step": 17700 + }, + { + "decision_loss": 1.9828, + "encoder_mlm_loss": 0.4467, + "epoch": 0.92, + "grad_norm": 11.114700317382812, + "learning_rate": 5.7585440400111144e-06, + "loss": 4.0831, + "reason_loss": NaN, + "step": 17750 + }, + { + "decision_loss": 2.1991, + "encoder_mlm_loss": 0.4913, + "epoch": 0.92, + "grad_norm": 11.457265853881836, + "learning_rate": 5.584884690191721e-06, + "loss": 4.2505, + "reason_loss": NaN, + "step": 17800 + }, + { + "decision_loss": 2.1172, + "encoder_mlm_loss": 0.4694, + "epoch": 0.92, + "grad_norm": 10.09403133392334, + "learning_rate": 5.411225340372326e-06, + "loss": 4.0314, + "reason_loss": NaN, + "step": 17850 + }, + { + "decision_loss": 2.1877, + "encoder_mlm_loss": 0.4449, + "epoch": 0.92, + "grad_norm": 10.144293785095215, + "learning_rate": 5.237565990552932e-06, + "loss": 4.2075, + "reason_loss": NaN, + "step": 17900 + }, + { + "decision_loss": 2.2545, + "encoder_mlm_loss": 0.4551, + "epoch": 0.93, + "grad_norm": 10.994632720947266, + "learning_rate": 5.063906640733538e-06, + "loss": 4.2875, + "reason_loss": NaN, + "step": 17950 + }, + { + "decision_loss": 2.181, + "encoder_mlm_loss": 0.4575, + "epoch": 0.93, + "grad_norm": 13.253012657165527, + "learning_rate": 4.890247290914143e-06, + "loss": 4.1868, + "reason_loss": NaN, + "step": 18000 + }, + { + "decision_loss": 2.1486, + "encoder_mlm_loss": 0.457, + "epoch": 0.93, + "grad_norm": 10.766643524169922, + "learning_rate": 4.716587941094748e-06, + "loss": 4.0513, + "reason_loss": NaN, + "step": 18050 + }, + { + "decision_loss": 2.1202, + "encoder_mlm_loss": 0.4788, + "epoch": 0.93, + "grad_norm": 9.282386779785156, + "learning_rate": 4.5429285912753545e-06, + "loss": 4.0717, + "reason_loss": NaN, + "step": 18100 + }, + { + "decision_loss": 2.2307, + "encoder_mlm_loss": 0.4714, + "epoch": 0.94, + "grad_norm": 11.088687896728516, + "learning_rate": 4.36926924145596e-06, + "loss": 4.0528, + "reason_loss": NaN, + "step": 18150 + }, + { + "decision_loss": 2.1483, + "encoder_mlm_loss": 0.4543, + "epoch": 0.94, + "grad_norm": 10.724303245544434, + "learning_rate": 4.195609891636565e-06, + "loss": 4.1388, + "reason_loss": NaN, + "step": 18200 + }, + { + "decision_loss": 2.212, + "encoder_mlm_loss": 0.4605, + "epoch": 0.94, + "grad_norm": 9.722859382629395, + "learning_rate": 4.0219505418171715e-06, + "loss": 4.0295, + "reason_loss": NaN, + "step": 18250 + }, + { + "decision_loss": 2.2006, + "encoder_mlm_loss": 0.445, + "epoch": 0.94, + "grad_norm": 9.893216133117676, + "learning_rate": 3.848291191997777e-06, + "loss": 4.1058, + "reason_loss": NaN, + "step": 18300 + }, + { + "decision_loss": 2.1725, + "encoder_mlm_loss": 0.483, + "epoch": 0.95, + "grad_norm": 10.373659133911133, + "learning_rate": 3.674631842178383e-06, + "loss": 4.0683, + "reason_loss": NaN, + "step": 18350 + }, + { + "decision_loss": 2.3838, + "encoder_mlm_loss": 0.485, + "epoch": 0.95, + "grad_norm": 9.621594429016113, + "learning_rate": 3.5009724923589884e-06, + "loss": 4.1663, + "reason_loss": NaN, + "step": 18400 + }, + { + "decision_loss": 2.1828, + "encoder_mlm_loss": 0.456, + "epoch": 0.95, + "grad_norm": 10.567208290100098, + "learning_rate": 3.3273131425395946e-06, + "loss": 4.1053, + "reason_loss": NaN, + "step": 18450 + }, + { + "decision_loss": 2.3296, + "encoder_mlm_loss": 0.4781, + "epoch": 0.95, + "grad_norm": 9.499934196472168, + "learning_rate": 3.1536537927202e-06, + "loss": 4.0483, + "reason_loss": NaN, + "step": 18500 + }, + { + "decision_loss": 1.9933, + "encoder_mlm_loss": 0.4588, + "epoch": 0.96, + "grad_norm": 9.636274337768555, + "learning_rate": 2.9799944429008058e-06, + "loss": 3.9718, + "reason_loss": NaN, + "step": 18550 + }, + { + "decision_loss": 2.167, + "encoder_mlm_loss": 0.4472, + "epoch": 0.96, + "grad_norm": 9.905817985534668, + "learning_rate": 2.8063350930814116e-06, + "loss": 4.0502, + "reason_loss": NaN, + "step": 18600 + }, + { + "decision_loss": 2.2164, + "encoder_mlm_loss": 0.4483, + "epoch": 0.96, + "grad_norm": 9.581639289855957, + "learning_rate": 2.636148930258405e-06, + "loss": 4.0439, + "reason_loss": NaN, + "step": 18650 + }, + { + "decision_loss": 2.2307, + "encoder_mlm_loss": 0.466, + "epoch": 0.96, + "grad_norm": 10.538454055786133, + "learning_rate": 2.462489580439011e-06, + "loss": 4.079, + "reason_loss": NaN, + "step": 18700 + }, + { + "decision_loss": 2.1576, + "encoder_mlm_loss": 0.4452, + "epoch": 0.97, + "grad_norm": 10.088532447814941, + "learning_rate": 2.2888302306196166e-06, + "loss": 4.0738, + "reason_loss": NaN, + "step": 18750 + }, + { + "decision_loss": 2.1127, + "encoder_mlm_loss": 0.4568, + "epoch": 0.97, + "grad_norm": 9.137553215026855, + "learning_rate": 2.1151708808002224e-06, + "loss": 4.0466, + "reason_loss": NaN, + "step": 18800 + }, + { + "decision_loss": 2.1179, + "encoder_mlm_loss": 0.4432, + "epoch": 0.97, + "grad_norm": 9.486440658569336, + "learning_rate": 1.9415115309808282e-06, + "loss": 4.1585, + "reason_loss": NaN, + "step": 18850 + }, + { + "decision_loss": 2.1924, + "encoder_mlm_loss": 0.4469, + "epoch": 0.97, + "grad_norm": 9.941400527954102, + "learning_rate": 1.7678521811614338e-06, + "loss": 4.0744, + "reason_loss": NaN, + "step": 18900 + }, + { + "decision_loss": 2.1206, + "encoder_mlm_loss": 0.4569, + "epoch": 0.98, + "grad_norm": 9.793261528015137, + "learning_rate": 1.5941928313420396e-06, + "loss": 4.1067, + "reason_loss": NaN, + "step": 18950 + }, + { + "decision_loss": 2.0999, + "encoder_mlm_loss": 0.4246, + "epoch": 0.98, + "grad_norm": 9.890857696533203, + "learning_rate": 1.4205334815226454e-06, + "loss": 4.1567, + "reason_loss": NaN, + "step": 19000 + }, + { + "decision_loss": 2.1566, + "encoder_mlm_loss": 0.4574, + "epoch": 0.98, + "grad_norm": 10.175832748413086, + "learning_rate": 1.246874131703251e-06, + "loss": 4.0561, + "reason_loss": NaN, + "step": 19050 + }, + { + "decision_loss": 2.3035, + "encoder_mlm_loss": 0.4631, + "epoch": 0.98, + "grad_norm": 10.100351333618164, + "learning_rate": 1.0732147818838565e-06, + "loss": 4.1019, + "reason_loss": NaN, + "step": 19100 + }, + { + "decision_loss": 2.0727, + "encoder_mlm_loss": 0.4451, + "epoch": 0.99, + "grad_norm": 10.576125144958496, + "learning_rate": 8.995554320644623e-07, + "loss": 4.151, + "reason_loss": NaN, + "step": 19150 + }, + { + "decision_loss": 2.2445, + "encoder_mlm_loss": 0.4302, + "epoch": 0.99, + "grad_norm": 9.79544448852539, + "learning_rate": 7.258960822450681e-07, + "loss": 4.1227, + "reason_loss": NaN, + "step": 19200 + }, + { + "decision_loss": 2.2291, + "encoder_mlm_loss": 0.4474, + "epoch": 0.99, + "grad_norm": 10.398290634155273, + "learning_rate": 5.522367324256738e-07, + "loss": 3.9649, + "reason_loss": NaN, + "step": 19250 + }, + { + "decision_loss": 2.2452, + "encoder_mlm_loss": 0.4784, + "epoch": 1.0, + "grad_norm": 11.05727481842041, + "learning_rate": 3.7857738260627953e-07, + "loss": 4.0789, + "reason_loss": NaN, + "step": 19300 + }, + { + "decision_loss": 2.2477, + "encoder_mlm_loss": 0.4668, + "epoch": 1.0, + "grad_norm": 10.685857772827148, + "learning_rate": 2.0491803278688526e-07, + "loss": 4.0863, + "reason_loss": NaN, + "step": 19350 + } + ], + "logging_steps": 50, + "max_steps": 19396, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 5000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 1.0030959011014115e+19, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}