{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.9183673469387755, "eval_steps": 500, "global_step": 450, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0020408163265306124, "grad_norm": 4.2167510986328125, "learning_rate": 0.0, "loss": 1.313438892364502, "memory/device_reserved (GiB)": 75.76, "memory/max_active (GiB)": 74.61, "memory/max_allocated (GiB)": 74.61, "ppl": 3.71894, "step": 1, "tokens/total": 249728, "tokens/trainable": 1992 }, { "epoch": 0.004081632653061225, "grad_norm": 3.8650901317596436, "learning_rate": 3.448275862068966e-06, "loss": 1.2385082244873047, "memory/device_reserved (GiB)": 75.77, "memory/max_active (GiB)": 74.28, "memory/max_allocated (GiB)": 74.28, "ppl": 3.45046, "step": 2, "tokens/total": 483392, "tokens/train_per_sec_per_gpu": 12.03, "tokens/trainable": 3913 }, { "epoch": 0.006122448979591836, "grad_norm": 3.7181951999664307, "learning_rate": 6.896551724137932e-06, "loss": 1.2442840337753296, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 75.5, "memory/max_allocated (GiB)": 75.5, "ppl": 3.47045, "step": 3, "tokens/total": 726144, "tokens/train_per_sec_per_gpu": 12.05, "tokens/trainable": 5903 }, { "epoch": 0.00816326530612245, "grad_norm": 44.8486328125, "learning_rate": 1.0344827586206897e-05, "loss": 1.3412562608718872, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 72.18, "memory/max_allocated (GiB)": 72.18, "ppl": 3.82384, "step": 4, "tokens/total": 943168, "tokens/train_per_sec_per_gpu": 15.39, "tokens/trainable": 7867 }, { "epoch": 0.01020408163265306, "grad_norm": 3.929412841796875, "learning_rate": 1.3793103448275863e-05, "loss": 1.3407814502716064, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 75.42, "memory/max_allocated (GiB)": 75.42, "ppl": 3.82203, "step": 5, "tokens/total": 1169664, "tokens/train_per_sec_per_gpu": 12.41, "tokens/trainable": 9745 }, { "epoch": 0.012244897959183673, "grad_norm": 3.892376661300659, "learning_rate": 1.7241379310344828e-05, "loss": 1.2880868911743164, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 73.05, "memory/max_allocated (GiB)": 73.05, "ppl": 3.62584, "step": 6, "tokens/total": 1406336, "tokens/train_per_sec_per_gpu": 13.98, "tokens/trainable": 11650 }, { "epoch": 0.014285714285714285, "grad_norm": 4.0600128173828125, "learning_rate": 2.0689655172413793e-05, "loss": 1.3101682662963867, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 72.54, "memory/max_allocated (GiB)": 72.54, "ppl": 3.7068, "step": 7, "tokens/total": 1647104, "tokens/train_per_sec_per_gpu": 13.02, "tokens/trainable": 13571 }, { "epoch": 0.0163265306122449, "grad_norm": 3.508254289627075, "learning_rate": 2.413793103448276e-05, "loss": 1.1288416385650635, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 74.44, "memory/max_allocated (GiB)": 74.44, "ppl": 3.09207, "step": 8, "tokens/total": 1913472, "tokens/train_per_sec_per_gpu": 11.37, "tokens/trainable": 15743 }, { "epoch": 0.018367346938775512, "grad_norm": 4.13547945022583, "learning_rate": 2.7586206896551727e-05, "loss": 1.1055421829223633, "memory/device_reserved (GiB)": 76.4, "memory/max_active (GiB)": 75.26, "memory/max_allocated (GiB)": 75.26, "ppl": 3.02086, "step": 9, "tokens/total": 2159104, "tokens/train_per_sec_per_gpu": 13.39, "tokens/trainable": 17993 }, { "epoch": 0.02040816326530612, "grad_norm": 3.8564958572387695, "learning_rate": 3.103448275862069e-05, "loss": 1.1748199462890625, "memory/device_reserved (GiB)": 76.61, "memory/max_active (GiB)": 75.69, "memory/max_allocated (GiB)": 75.69, "ppl": 3.23756, "step": 10, "tokens/total": 2406336, "tokens/train_per_sec_per_gpu": 9.87, "tokens/trainable": 19603 }, { "epoch": 0.022448979591836733, "grad_norm": 2.662527322769165, "learning_rate": 3.4482758620689657e-05, "loss": 1.0491664409637451, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.81, "memory/max_allocated (GiB)": 76.81, "ppl": 2.85527, "step": 11, "tokens/total": 2637440, "tokens/train_per_sec_per_gpu": 13.08, "tokens/trainable": 21674 }, { "epoch": 0.024489795918367346, "grad_norm": 2.4675278663635254, "learning_rate": 3.793103448275862e-05, "loss": 0.7866945266723633, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.65, "memory/max_allocated (GiB)": 73.65, "ppl": 2.19613, "step": 12, "tokens/total": 2872896, "tokens/train_per_sec_per_gpu": 10.39, "tokens/trainable": 23481 }, { "epoch": 0.026530612244897958, "grad_norm": 2.2947044372558594, "learning_rate": 4.1379310344827587e-05, "loss": 0.7748140692710876, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.77, "memory/max_allocated (GiB)": 74.77, "ppl": 2.17019, "step": 13, "tokens/total": 3128768, "tokens/train_per_sec_per_gpu": 11.12, "tokens/trainable": 25355 }, { "epoch": 0.02857142857142857, "grad_norm": 1.5860671997070312, "learning_rate": 4.482758620689655e-05, "loss": 0.7104668021202087, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.83, "memory/max_allocated (GiB)": 75.83, "ppl": 2.03494, "step": 14, "tokens/total": 3354624, "tokens/train_per_sec_per_gpu": 13.4, "tokens/trainable": 27379 }, { "epoch": 0.030612244897959183, "grad_norm": 1.2193500995635986, "learning_rate": 4.827586206896552e-05, "loss": 0.6342951059341431, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.88569, "step": 15, "tokens/total": 3632576, "tokens/train_per_sec_per_gpu": 10.45, "tokens/trainable": 29348 }, { "epoch": 0.0326530612244898, "grad_norm": 0.8882229924201965, "learning_rate": 5.172413793103449e-05, "loss": 0.4914810061454773, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.86, "memory/max_allocated (GiB)": 76.86, "ppl": 1.63474, "step": 16, "tokens/total": 3893632, "tokens/train_per_sec_per_gpu": 11.24, "tokens/trainable": 31409 }, { "epoch": 0.03469387755102041, "grad_norm": 0.750299870967865, "learning_rate": 5.517241379310345e-05, "loss": 0.533316969871521, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.6, "memory/max_allocated (GiB)": 73.6, "ppl": 1.70458, "step": 17, "tokens/total": 4120000, "tokens/train_per_sec_per_gpu": 16.43, "tokens/trainable": 33895 }, { "epoch": 0.036734693877551024, "grad_norm": 0.9324926137924194, "learning_rate": 5.862068965517241e-05, "loss": 0.4928280711174011, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.19, "memory/max_allocated (GiB)": 73.19, "ppl": 1.63694, "step": 18, "tokens/total": 4334208, "tokens/train_per_sec_per_gpu": 13.05, "tokens/trainable": 35668 }, { "epoch": 0.03877551020408163, "grad_norm": 0.4430578649044037, "learning_rate": 6.206896551724138e-05, "loss": 0.4595395028591156, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.47, "memory/max_allocated (GiB)": 75.47, "ppl": 1.58334, "step": 19, "tokens/total": 4595520, "tokens/train_per_sec_per_gpu": 15.09, "tokens/trainable": 38006 }, { "epoch": 0.04081632653061224, "grad_norm": 0.6463696360588074, "learning_rate": 6.551724137931034e-05, "loss": 0.35258132219314575, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.57, "memory/max_allocated (GiB)": 73.57, "ppl": 1.42274, "step": 20, "tokens/total": 4823424, "tokens/train_per_sec_per_gpu": 15.34, "tokens/trainable": 40245 }, { "epoch": 0.04285714285714286, "grad_norm": 0.5994691252708435, "learning_rate": 6.896551724137931e-05, "loss": 0.4857128858566284, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.82, "memory/max_allocated (GiB)": 74.82, "ppl": 1.62533, "step": 21, "tokens/total": 5095296, "tokens/train_per_sec_per_gpu": 12.55, "tokens/trainable": 42288 }, { "epoch": 0.044897959183673466, "grad_norm": 0.37300923466682434, "learning_rate": 7.241379310344828e-05, "loss": 0.3811933100223541, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.37, "memory/max_allocated (GiB)": 76.37, "ppl": 1.46403, "step": 22, "tokens/total": 5361536, "tokens/train_per_sec_per_gpu": 12.0, "tokens/trainable": 44219 }, { "epoch": 0.04693877551020408, "grad_norm": 0.3530994951725006, "learning_rate": 7.586206896551724e-05, "loss": 0.47953876852989197, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.18, "memory/max_allocated (GiB)": 76.18, "ppl": 1.61533, "step": 23, "tokens/total": 5611776, "tokens/train_per_sec_per_gpu": 11.94, "tokens/trainable": 46265 }, { "epoch": 0.04897959183673469, "grad_norm": 0.4046308696269989, "learning_rate": 7.931034482758621e-05, "loss": 0.4454658031463623, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.56122, "step": 24, "tokens/total": 5842944, "tokens/train_per_sec_per_gpu": 13.15, "tokens/trainable": 48369 }, { "epoch": 0.05102040816326531, "grad_norm": 0.36315539479255676, "learning_rate": 8.275862068965517e-05, "loss": 0.31761664152145386, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.72, "memory/max_allocated (GiB)": 75.72, "ppl": 1.37385, "step": 25, "tokens/total": 6081152, "tokens/train_per_sec_per_gpu": 13.54, "tokens/trainable": 50389 }, { "epoch": 0.053061224489795916, "grad_norm": 0.5031322240829468, "learning_rate": 8.620689655172413e-05, "loss": 0.4392084777355194, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.22, "memory/max_allocated (GiB)": 73.22, "ppl": 1.55148, "step": 26, "tokens/total": 6343808, "tokens/train_per_sec_per_gpu": 7.89, "tokens/trainable": 52264 }, { "epoch": 0.05510204081632653, "grad_norm": 0.33433303236961365, "learning_rate": 8.96551724137931e-05, "loss": 0.3558434844017029, "memory/device_reserved (GiB)": 76.65, "memory/max_active (GiB)": 75.86, "memory/max_allocated (GiB)": 75.86, "ppl": 1.42738, "step": 27, "tokens/total": 6588608, "tokens/train_per_sec_per_gpu": 10.7, "tokens/trainable": 54059 }, { "epoch": 0.05714285714285714, "grad_norm": 0.39968281984329224, "learning_rate": 9.310344827586207e-05, "loss": 0.32551220059394836, "memory/device_reserved (GiB)": 76.65, "memory/max_active (GiB)": 73.19, "memory/max_allocated (GiB)": 73.19, "ppl": 1.38474, "step": 28, "tokens/total": 6826560, "tokens/train_per_sec_per_gpu": 10.04, "tokens/trainable": 55763 }, { "epoch": 0.05918367346938776, "grad_norm": 0.4150298833847046, "learning_rate": 9.655172413793105e-05, "loss": 0.40454256534576416, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 76.86, "memory/max_allocated (GiB)": 76.86, "ppl": 1.49862, "step": 29, "tokens/total": 7088000, "tokens/train_per_sec_per_gpu": 12.62, "tokens/trainable": 57812 }, { "epoch": 0.061224489795918366, "grad_norm": 0.6367387771606445, "learning_rate": 0.0001, "loss": 0.42207133769989014, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.91, "memory/max_allocated (GiB)": 75.91, "ppl": 1.52512, "step": 30, "tokens/total": 7351744, "tokens/train_per_sec_per_gpu": 11.4, "tokens/trainable": 59788 }, { "epoch": 0.06326530612244897, "grad_norm": 0.27459612488746643, "learning_rate": 9.999972717866783e-05, "loss": 0.26368996500968933, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.30172, "step": 31, "tokens/total": 7589888, "tokens/train_per_sec_per_gpu": 11.98, "tokens/trainable": 61698 }, { "epoch": 0.0653061224489796, "grad_norm": 0.3257054090499878, "learning_rate": 9.999890871764856e-05, "loss": 0.32186996936798096, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 76.75, "memory/max_allocated (GiB)": 76.75, "ppl": 1.37971, "step": 32, "tokens/total": 7812352, "tokens/train_per_sec_per_gpu": 11.42, "tokens/trainable": 63730 }, { "epoch": 0.0673469387755102, "grad_norm": 0.43009933829307556, "learning_rate": 9.999754462587395e-05, "loss": 0.3165552020072937, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 74.25, "memory/max_allocated (GiB)": 74.25, "ppl": 1.37239, "step": 33, "tokens/total": 8090112, "tokens/train_per_sec_per_gpu": 12.14, "tokens/trainable": 65782 }, { "epoch": 0.06938775510204082, "grad_norm": 0.29606345295906067, "learning_rate": 9.999563491823011e-05, "loss": 0.3038017749786377, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 76.51, "memory/max_allocated (GiB)": 76.51, "ppl": 1.355, "step": 34, "tokens/total": 8340224, "tokens/train_per_sec_per_gpu": 10.36, "tokens/trainable": 67558 }, { "epoch": 0.07142857142857142, "grad_norm": 0.26481109857559204, "learning_rate": 9.999317961555746e-05, "loss": 0.2744923532009125, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 74.41, "memory/max_allocated (GiB)": 74.41, "ppl": 1.31586, "step": 35, "tokens/total": 8599168, "tokens/train_per_sec_per_gpu": 9.93, "tokens/trainable": 69256 }, { "epoch": 0.07346938775510205, "grad_norm": 0.2818477153778076, "learning_rate": 9.999017874465026e-05, "loss": 0.32188448309898376, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 75.12, "memory/max_allocated (GiB)": 75.12, "ppl": 1.37973, "step": 36, "tokens/total": 8879872, "tokens/train_per_sec_per_gpu": 11.11, "tokens/trainable": 71213 }, { "epoch": 0.07551020408163266, "grad_norm": 0.31210315227508545, "learning_rate": 9.998663233825667e-05, "loss": 0.35000020265579224, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 72.67, "memory/max_allocated (GiB)": 72.67, "ppl": 1.41907, "step": 37, "tokens/total": 9092480, "tokens/train_per_sec_per_gpu": 15.52, "tokens/trainable": 73212 }, { "epoch": 0.07755102040816327, "grad_norm": 0.4802961051464081, "learning_rate": 9.998254043507804e-05, "loss": 0.3628653287887573, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 73.13, "memory/max_allocated (GiB)": 73.13, "ppl": 1.43744, "step": 38, "tokens/total": 9338944, "tokens/train_per_sec_per_gpu": 10.57, "tokens/trainable": 75027 }, { "epoch": 0.07959183673469387, "grad_norm": 0.3178337812423706, "learning_rate": 9.997790307976873e-05, "loss": 0.3139835596084595, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 72.86, "memory/max_allocated (GiB)": 72.86, "ppl": 1.36887, "step": 39, "tokens/total": 9552064, "tokens/train_per_sec_per_gpu": 13.09, "tokens/trainable": 76940 }, { "epoch": 0.08163265306122448, "grad_norm": 0.2966010868549347, "learning_rate": 9.997272032293553e-05, "loss": 0.34238967299461365, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 75.53, "memory/max_allocated (GiB)": 75.53, "ppl": 1.40831, "step": 40, "tokens/total": 9780480, "tokens/train_per_sec_per_gpu": 12.68, "tokens/trainable": 78924 }, { "epoch": 0.0836734693877551, "grad_norm": 0.3346101641654968, "learning_rate": 9.996699222113709e-05, "loss": 0.2840029001235962, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 74.11, "memory/max_allocated (GiB)": 74.11, "ppl": 1.32844, "step": 41, "tokens/total": 10032896, "tokens/train_per_sec_per_gpu": 10.74, "tokens/trainable": 80796 }, { "epoch": 0.08571428571428572, "grad_norm": 0.3669697940349579, "learning_rate": 9.996071883688334e-05, "loss": 0.38213422894477844, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 75.45, "memory/max_allocated (GiB)": 75.45, "ppl": 1.46541, "step": 42, "tokens/total": 10258880, "tokens/train_per_sec_per_gpu": 13.46, "tokens/trainable": 82842 }, { "epoch": 0.08775510204081632, "grad_norm": 0.3180081248283386, "learning_rate": 9.995390023863483e-05, "loss": 0.3140525817871094, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 74.41, "memory/max_allocated (GiB)": 74.41, "ppl": 1.36896, "step": 43, "tokens/total": 10509120, "tokens/train_per_sec_per_gpu": 13.79, "tokens/trainable": 84934 }, { "epoch": 0.08979591836734693, "grad_norm": 0.26853886246681213, "learning_rate": 9.994653650080188e-05, "loss": 0.3507641553878784, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 72.23, "memory/max_allocated (GiB)": 72.23, "ppl": 1.42015, "step": 44, "tokens/total": 10749568, "tokens/train_per_sec_per_gpu": 12.49, "tokens/trainable": 86784 }, { "epoch": 0.09183673469387756, "grad_norm": 0.26175931096076965, "learning_rate": 9.99386277037439e-05, "loss": 0.27149611711502075, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 74.66, "memory/max_allocated (GiB)": 74.66, "ppl": 1.31193, "step": 45, "tokens/total": 10991040, "tokens/train_per_sec_per_gpu": 12.04, "tokens/trainable": 88613 }, { "epoch": 0.09387755102040816, "grad_norm": 0.28962087631225586, "learning_rate": 9.993017393376844e-05, "loss": 0.34222665429115295, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 72.51, "memory/max_allocated (GiB)": 72.51, "ppl": 1.40808, "step": 46, "tokens/total": 11252224, "tokens/train_per_sec_per_gpu": 12.59, "tokens/trainable": 90773 }, { "epoch": 0.09591836734693877, "grad_norm": 0.41601240634918213, "learning_rate": 9.992117528313025e-05, "loss": 0.41904228925704956, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 74.3, "memory/max_allocated (GiB)": 74.3, "ppl": 1.5205, "step": 47, "tokens/total": 11496768, "tokens/train_per_sec_per_gpu": 13.52, "tokens/trainable": 93011 }, { "epoch": 0.09795918367346938, "grad_norm": 0.2995956838130951, "learning_rate": 9.991163185003029e-05, "loss": 0.32476919889450073, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.81, "memory/max_allocated (GiB)": 76.81, "ppl": 1.38371, "step": 48, "tokens/total": 11754816, "tokens/train_per_sec_per_gpu": 11.42, "tokens/trainable": 94980 }, { "epoch": 0.1, "grad_norm": 0.35347771644592285, "learning_rate": 9.990154373861462e-05, "loss": 0.3826776444911957, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.81, "memory/max_allocated (GiB)": 72.81, "ppl": 1.46621, "step": 49, "tokens/total": 11997568, "tokens/train_per_sec_per_gpu": 14.25, "tokens/trainable": 97237 }, { "epoch": 0.10204081632653061, "grad_norm": 0.37251126766204834, "learning_rate": 9.989091105897335e-05, "loss": 0.2627924084663391, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.71, "memory/max_allocated (GiB)": 73.71, "ppl": 1.30056, "step": 50, "tokens/total": 12199616, "tokens/train_per_sec_per_gpu": 13.62, "tokens/trainable": 99077 }, { "epoch": 0.10408163265306122, "grad_norm": 0.4113054871559143, "learning_rate": 9.987973392713932e-05, "loss": 0.26638543605804443, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.30524, "step": 51, "tokens/total": 12458944, "tokens/train_per_sec_per_gpu": 8.67, "tokens/trainable": 100904 }, { "epoch": 0.10612244897959183, "grad_norm": 0.27514827251434326, "learning_rate": 9.986801246508695e-05, "loss": 0.3189134895801544, "memory/device_reserved (GiB)": 76.16, "memory/max_active (GiB)": 75.12, "memory/max_allocated (GiB)": 75.12, "ppl": 1.37563, "step": 52, "tokens/total": 12717056, "tokens/train_per_sec_per_gpu": 9.76, "tokens/trainable": 102655 }, { "epoch": 0.10816326530612246, "grad_norm": 0.2949848473072052, "learning_rate": 9.985574680073085e-05, "loss": 0.2989092767238617, "memory/device_reserved (GiB)": 76.16, "memory/max_active (GiB)": 74.2, "memory/max_allocated (GiB)": 74.2, "ppl": 1.34839, "step": 53, "tokens/total": 12979520, "tokens/train_per_sec_per_gpu": 10.41, "tokens/trainable": 104528 }, { "epoch": 0.11020408163265306, "grad_norm": 0.2654709815979004, "learning_rate": 9.984293706792438e-05, "loss": 0.3334200382232666, "memory/device_reserved (GiB)": 76.16, "memory/max_active (GiB)": 74.44, "memory/max_allocated (GiB)": 74.44, "ppl": 1.39573, "step": 54, "tokens/total": 13256256, "tokens/train_per_sec_per_gpu": 12.32, "tokens/trainable": 106680 }, { "epoch": 0.11224489795918367, "grad_norm": 0.36602842807769775, "learning_rate": 9.982958340645831e-05, "loss": 0.39756059646606445, "memory/device_reserved (GiB)": 76.16, "memory/max_active (GiB)": 72.13, "memory/max_allocated (GiB)": 72.13, "ppl": 1.48819, "step": 55, "tokens/total": 13483968, "tokens/train_per_sec_per_gpu": 13.09, "tokens/trainable": 108647 }, { "epoch": 0.11428571428571428, "grad_norm": 0.2748600244522095, "learning_rate": 9.981568596205917e-05, "loss": 0.3055681586265564, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.7, "memory/max_allocated (GiB)": 76.7, "ppl": 1.3574, "step": 56, "tokens/total": 13749568, "tokens/train_per_sec_per_gpu": 11.05, "tokens/trainable": 110620 }, { "epoch": 0.11632653061224489, "grad_norm": 0.32185810804367065, "learning_rate": 9.980124488638774e-05, "loss": 0.37074923515319824, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 72.1, "memory/max_allocated (GiB)": 72.1, "ppl": 1.44882, "step": 57, "tokens/total": 13985344, "tokens/train_per_sec_per_gpu": 16.08, "tokens/trainable": 112743 }, { "epoch": 0.11836734693877551, "grad_norm": 0.3911129832267761, "learning_rate": 9.978626033703732e-05, "loss": 0.3393978774547577, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 73.43, "memory/max_allocated (GiB)": 73.43, "ppl": 1.4041, "step": 58, "tokens/total": 14196480, "tokens/train_per_sec_per_gpu": 13.31, "tokens/trainable": 114572 }, { "epoch": 0.12040816326530612, "grad_norm": 0.3574847877025604, "learning_rate": 9.977073247753218e-05, "loss": 0.3169441223144531, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 74.69, "memory/max_allocated (GiB)": 74.69, "ppl": 1.37293, "step": 59, "tokens/total": 14435008, "tokens/train_per_sec_per_gpu": 13.0, "tokens/trainable": 116707 }, { "epoch": 0.12244897959183673, "grad_norm": 0.30045002698898315, "learning_rate": 9.97546614773255e-05, "loss": 0.2758142650127411, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 74.39, "memory/max_allocated (GiB)": 74.39, "ppl": 1.3176, "step": 60, "tokens/total": 14648576, "tokens/train_per_sec_per_gpu": 11.21, "tokens/trainable": 118447 }, { "epoch": 0.12448979591836734, "grad_norm": 0.25962135195732117, "learning_rate": 9.973804751179779e-05, "loss": 0.27344828844070435, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 75.67, "memory/max_allocated (GiB)": 75.67, "ppl": 1.31449, "step": 61, "tokens/total": 14898368, "tokens/train_per_sec_per_gpu": 12.14, "tokens/trainable": 120410 }, { "epoch": 0.12653061224489795, "grad_norm": 0.2542338967323303, "learning_rate": 9.972089076225477e-05, "loss": 0.2752627432346344, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.31688, "step": 62, "tokens/total": 15121792, "tokens/train_per_sec_per_gpu": 11.59, "tokens/trainable": 122325 }, { "epoch": 0.12857142857142856, "grad_norm": 0.3297300338745117, "learning_rate": 9.97031914159256e-05, "loss": 0.3394104242324829, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 74.49, "memory/max_allocated (GiB)": 74.49, "ppl": 1.40412, "step": 63, "tokens/total": 15389312, "tokens/train_per_sec_per_gpu": 12.41, "tokens/trainable": 124224 }, { "epoch": 0.1306122448979592, "grad_norm": 0.28276708722114563, "learning_rate": 9.968494966596058e-05, "loss": 0.31572309136390686, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 73.95, "memory/max_allocated (GiB)": 73.95, "ppl": 1.37125, "step": 64, "tokens/total": 15630144, "tokens/train_per_sec_per_gpu": 11.28, "tokens/trainable": 126004 }, { "epoch": 0.1326530612244898, "grad_norm": 0.31448298692703247, "learning_rate": 9.966616571142931e-05, "loss": 0.333346962928772, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.39563, "step": 65, "tokens/total": 15912896, "tokens/train_per_sec_per_gpu": 10.31, "tokens/trainable": 128003 }, { "epoch": 0.1346938775510204, "grad_norm": 0.31218236684799194, "learning_rate": 9.964683975731828e-05, "loss": 0.3107539415359497, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 75.94, "memory/max_allocated (GiB)": 75.94, "ppl": 1.36445, "step": 66, "tokens/total": 16185728, "tokens/train_per_sec_per_gpu": 12.49, "tokens/trainable": 130139 }, { "epoch": 0.13673469387755102, "grad_norm": 0.35470691323280334, "learning_rate": 9.962697201452881e-05, "loss": 0.3213728368282318, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.37902, "step": 67, "tokens/total": 16449728, "tokens/train_per_sec_per_gpu": 12.06, "tokens/trainable": 132201 }, { "epoch": 0.13877551020408163, "grad_norm": 0.34666892886161804, "learning_rate": 9.96065626998747e-05, "loss": 0.37185078859329224, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.48, "memory/max_allocated (GiB)": 76.48, "ppl": 1.45042, "step": 68, "tokens/total": 16719488, "tokens/train_per_sec_per_gpu": 9.9, "tokens/trainable": 134160 }, { "epoch": 0.14081632653061224, "grad_norm": 0.32578787207603455, "learning_rate": 9.958561203607975e-05, "loss": 0.3230299651622772, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 73.57, "memory/max_allocated (GiB)": 73.57, "ppl": 1.38131, "step": 69, "tokens/total": 16953152, "tokens/train_per_sec_per_gpu": 13.59, "tokens/trainable": 136020 }, { "epoch": 0.14285714285714285, "grad_norm": 0.5893422961235046, "learning_rate": 9.956412025177551e-05, "loss": 0.35762453079223633, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 76.73, "memory/max_allocated (GiB)": 76.73, "ppl": 1.42993, "step": 70, "tokens/total": 17219072, "tokens/train_per_sec_per_gpu": 11.73, "tokens/trainable": 137981 }, { "epoch": 0.14489795918367346, "grad_norm": 0.2695072293281555, "learning_rate": 9.954208758149867e-05, "loss": 0.23460917174816132, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 73.92, "memory/max_allocated (GiB)": 73.92, "ppl": 1.26441, "step": 71, "tokens/total": 17490944, "tokens/train_per_sec_per_gpu": 10.35, "tokens/trainable": 139847 }, { "epoch": 0.1469387755102041, "grad_norm": 0.2971181869506836, "learning_rate": 9.951951426568851e-05, "loss": 0.2664044499397278, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 72.34, "memory/max_allocated (GiB)": 72.34, "ppl": 1.30526, "step": 72, "tokens/total": 17732032, "tokens/train_per_sec_per_gpu": 13.7, "tokens/trainable": 141879 }, { "epoch": 0.1489795918367347, "grad_norm": 0.3867640495300293, "learning_rate": 9.949640055068432e-05, "loss": 0.4099368751049042, "memory/device_reserved (GiB)": 77.67, "memory/max_active (GiB)": 72.29, "memory/max_allocated (GiB)": 72.29, "ppl": 1.50672, "step": 73, "tokens/total": 17969088, "tokens/train_per_sec_per_gpu": 12.42, "tokens/trainable": 143793 }, { "epoch": 0.1510204081632653, "grad_norm": 0.28894367814064026, "learning_rate": 9.94727466887227e-05, "loss": 0.34861448407173157, "memory/device_reserved (GiB)": 77.77, "memory/max_active (GiB)": 76.84, "memory/max_allocated (GiB)": 76.84, "ppl": 1.4171, "step": 74, "tokens/total": 18238784, "tokens/train_per_sec_per_gpu": 11.22, "tokens/trainable": 145834 }, { "epoch": 0.15306122448979592, "grad_norm": 0.2793218493461609, "learning_rate": 9.944855293793475e-05, "loss": 0.2703927457332611, "memory/device_reserved (GiB)": 77.77, "memory/max_active (GiB)": 76.51, "memory/max_allocated (GiB)": 76.51, "ppl": 1.31048, "step": 75, "tokens/total": 18495168, "tokens/train_per_sec_per_gpu": 11.85, "tokens/trainable": 147888 }, { "epoch": 0.15510204081632653, "grad_norm": 0.2610492408275604, "learning_rate": 9.942381956234335e-05, "loss": 0.2886396050453186, "memory/device_reserved (GiB)": 77.77, "memory/max_active (GiB)": 76.4, "memory/max_allocated (GiB)": 76.4, "ppl": 1.33461, "step": 76, "tokens/total": 18734016, "tokens/train_per_sec_per_gpu": 9.23, "tokens/trainable": 149764 }, { "epoch": 0.15714285714285714, "grad_norm": 0.31321877241134644, "learning_rate": 9.939854683186016e-05, "loss": 0.32045096158981323, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 73.62, "memory/max_allocated (GiB)": 73.62, "ppl": 1.37775, "step": 77, "tokens/total": 18972672, "tokens/train_per_sec_per_gpu": 12.79, "tokens/trainable": 151857 }, { "epoch": 0.15918367346938775, "grad_norm": 0.34637442231178284, "learning_rate": 9.937273502228281e-05, "loss": 0.36426636576652527, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 75.8, "memory/max_allocated (GiB)": 75.8, "ppl": 1.43946, "step": 78, "tokens/total": 19195392, "tokens/train_per_sec_per_gpu": 13.15, "tokens/trainable": 153856 }, { "epoch": 0.16122448979591836, "grad_norm": 0.34072041511535645, "learning_rate": 9.934638441529179e-05, "loss": 0.34764987230300903, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 74.06, "memory/max_allocated (GiB)": 74.06, "ppl": 1.41574, "step": 79, "tokens/total": 19472064, "tokens/train_per_sec_per_gpu": 10.01, "tokens/trainable": 155739 }, { "epoch": 0.16326530612244897, "grad_norm": 0.4057715833187103, "learning_rate": 9.93194952984474e-05, "loss": 0.38709670305252075, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 74.06, "memory/max_allocated (GiB)": 74.06, "ppl": 1.4727, "step": 80, "tokens/total": 19724544, "tokens/train_per_sec_per_gpu": 13.56, "tokens/trainable": 158060 }, { "epoch": 0.1653061224489796, "grad_norm": 0.3533332347869873, "learning_rate": 9.929206796518662e-05, "loss": 0.3303971588611603, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 71.64, "memory/max_allocated (GiB)": 71.64, "ppl": 1.39152, "step": 81, "tokens/total": 19941440, "tokens/train_per_sec_per_gpu": 14.34, "tokens/trainable": 159968 }, { "epoch": 0.1673469387755102, "grad_norm": 0.576310932636261, "learning_rate": 9.926410271481994e-05, "loss": 0.29558199644088745, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 74.52, "memory/max_allocated (GiB)": 74.52, "ppl": 1.34391, "step": 82, "tokens/total": 20194560, "tokens/train_per_sec_per_gpu": 11.0, "tokens/trainable": 161784 }, { "epoch": 0.16938775510204082, "grad_norm": 0.2885003685951233, "learning_rate": 9.9235599852528e-05, "loss": 0.2939549684524536, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.34172, "step": 83, "tokens/total": 20438272, "tokens/train_per_sec_per_gpu": 12.77, "tokens/trainable": 163745 }, { "epoch": 0.17142857142857143, "grad_norm": 0.27577269077301025, "learning_rate": 9.920655968935838e-05, "loss": 0.3108862042427063, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 73.62, "memory/max_allocated (GiB)": 73.62, "ppl": 1.36463, "step": 84, "tokens/total": 20647488, "tokens/train_per_sec_per_gpu": 12.17, "tokens/trainable": 165491 }, { "epoch": 0.17346938775510204, "grad_norm": 0.2597094178199768, "learning_rate": 9.91769825422221e-05, "loss": 0.29625654220581055, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 73.54, "memory/max_allocated (GiB)": 73.54, "ppl": 1.34482, "step": 85, "tokens/total": 20908352, "tokens/train_per_sec_per_gpu": 12.03, "tokens/trainable": 167486 }, { "epoch": 0.17551020408163265, "grad_norm": 0.31459540128707886, "learning_rate": 9.914686873389025e-05, "loss": 0.3925963342189789, "memory/device_reserved (GiB)": 77.37, "memory/max_active (GiB)": 73.95, "memory/max_allocated (GiB)": 73.95, "ppl": 1.48082, "step": 86, "tokens/total": 21166656, "tokens/train_per_sec_per_gpu": 12.74, "tokens/trainable": 169501 }, { "epoch": 0.17755102040816326, "grad_norm": 0.3207368552684784, "learning_rate": 9.91162185929904e-05, "loss": 0.36425894498825073, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 76.35, "memory/max_allocated (GiB)": 76.35, "ppl": 1.43945, "step": 87, "tokens/total": 21438912, "tokens/train_per_sec_per_gpu": 11.2, "tokens/trainable": 171575 }, { "epoch": 0.17959183673469387, "grad_norm": 0.30726850032806396, "learning_rate": 9.908503245400302e-05, "loss": 0.363973468542099, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 75.56, "memory/max_allocated (GiB)": 75.56, "ppl": 1.43904, "step": 88, "tokens/total": 21722176, "tokens/train_per_sec_per_gpu": 12.12, "tokens/trainable": 173659 }, { "epoch": 0.1816326530612245, "grad_norm": 0.3307989835739136, "learning_rate": 9.90533106572579e-05, "loss": 0.37638866901397705, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 74.11, "memory/max_allocated (GiB)": 74.11, "ppl": 1.45701, "step": 89, "tokens/total": 21958848, "tokens/train_per_sec_per_gpu": 13.93, "tokens/trainable": 175607 }, { "epoch": 0.1836734693877551, "grad_norm": 0.2957727313041687, "learning_rate": 9.90210535489303e-05, "loss": 0.2558442950248718, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 72.89, "memory/max_allocated (GiB)": 72.89, "ppl": 1.29155, "step": 90, "tokens/total": 22210112, "tokens/train_per_sec_per_gpu": 13.12, "tokens/trainable": 177797 }, { "epoch": 0.18571428571428572, "grad_norm": 0.2863942086696625, "learning_rate": 9.898826148103737e-05, "loss": 0.3638124465942383, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.4388, "step": 91, "tokens/total": 22450496, "tokens/train_per_sec_per_gpu": 11.32, "tokens/trainable": 179665 }, { "epoch": 0.18775510204081633, "grad_norm": 0.2795948088169098, "learning_rate": 9.895493481143411e-05, "loss": 0.31911370158195496, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 74.03, "memory/max_allocated (GiB)": 74.03, "ppl": 1.37591, "step": 92, "tokens/total": 22683776, "tokens/train_per_sec_per_gpu": 13.26, "tokens/trainable": 181685 }, { "epoch": 0.18979591836734694, "grad_norm": 0.25272026658058167, "learning_rate": 9.892107390380958e-05, "loss": 0.2508898377418518, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 72.37, "memory/max_allocated (GiB)": 72.37, "ppl": 1.28517, "step": 93, "tokens/total": 22917888, "tokens/train_per_sec_per_gpu": 12.28, "tokens/trainable": 183472 }, { "epoch": 0.19183673469387755, "grad_norm": 0.35054582357406616, "learning_rate": 9.888667912768288e-05, "loss": 0.35517990589141846, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 74.39, "memory/max_allocated (GiB)": 74.39, "ppl": 1.42644, "step": 94, "tokens/total": 23187520, "tokens/train_per_sec_per_gpu": 10.77, "tokens/trainable": 185479 }, { "epoch": 0.19387755102040816, "grad_norm": 0.26934683322906494, "learning_rate": 9.885175085839919e-05, "loss": 0.31262412667274475, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 74.47, "memory/max_allocated (GiB)": 74.47, "ppl": 1.36701, "step": 95, "tokens/total": 23443008, "tokens/train_per_sec_per_gpu": 13.83, "tokens/trainable": 187567 }, { "epoch": 0.19591836734693877, "grad_norm": 0.5132613778114319, "learning_rate": 9.881628947712556e-05, "loss": 0.273453950881958, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 73.79, "memory/max_allocated (GiB)": 73.79, "ppl": 1.3145, "step": 96, "tokens/total": 23698432, "tokens/train_per_sec_per_gpu": 10.01, "tokens/trainable": 189220 }, { "epoch": 0.19795918367346937, "grad_norm": 0.4519254267215729, "learning_rate": 9.878029537084684e-05, "loss": 0.28466570377349854, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 74.82, "memory/max_allocated (GiB)": 74.82, "ppl": 1.32932, "step": 97, "tokens/total": 23947968, "tokens/train_per_sec_per_gpu": 10.12, "tokens/trainable": 190943 }, { "epoch": 0.2, "grad_norm": 0.2954767048358917, "learning_rate": 9.874376893236145e-05, "loss": 0.33792048692703247, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 73.79, "memory/max_allocated (GiB)": 73.79, "ppl": 1.40203, "step": 98, "tokens/total": 24192704, "tokens/train_per_sec_per_gpu": 13.04, "tokens/trainable": 192967 }, { "epoch": 0.20204081632653062, "grad_norm": 0.3651937246322632, "learning_rate": 9.870671056027705e-05, "loss": 0.30805450677871704, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 73.3, "memory/max_allocated (GiB)": 73.3, "ppl": 1.36078, "step": 99, "tokens/total": 24420672, "tokens/train_per_sec_per_gpu": 13.96, "tokens/trainable": 194997 }, { "epoch": 0.20408163265306123, "grad_norm": 0.2739502489566803, "learning_rate": 9.866912065900621e-05, "loss": 0.2902035117149353, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 76.51, "memory/max_allocated (GiB)": 76.51, "ppl": 1.3367, "step": 100, "tokens/total": 24663168, "tokens/train_per_sec_per_gpu": 13.35, "tokens/trainable": 197125 }, { "epoch": 0.20612244897959184, "grad_norm": 0.2788029611110687, "learning_rate": 9.863099963876201e-05, "loss": 0.3034919500350952, "memory/device_reserved (GiB)": 77.53, "memory/max_active (GiB)": 75.58, "memory/max_allocated (GiB)": 75.58, "ppl": 1.35458, "step": 101, "tokens/total": 24901056, "tokens/train_per_sec_per_gpu": 10.13, "tokens/trainable": 199053 }, { "epoch": 0.20816326530612245, "grad_norm": 0.2763316333293915, "learning_rate": 9.859234791555355e-05, "loss": 0.2486642301082611, "memory/device_reserved (GiB)": 77.12, "memory/max_active (GiB)": 76.29, "memory/max_allocated (GiB)": 76.29, "ppl": 1.28231, "step": 102, "tokens/total": 25157504, "tokens/train_per_sec_per_gpu": 10.61, "tokens/trainable": 200967 }, { "epoch": 0.21020408163265306, "grad_norm": 0.24316149950027466, "learning_rate": 9.855316591118142e-05, "loss": 0.2835119366645813, "memory/device_reserved (GiB)": 77.12, "memory/max_active (GiB)": 75.42, "memory/max_allocated (GiB)": 75.42, "ppl": 1.32778, "step": 103, "tokens/total": 25423872, "tokens/train_per_sec_per_gpu": 11.78, "tokens/trainable": 202962 }, { "epoch": 0.21224489795918366, "grad_norm": 0.29139262437820435, "learning_rate": 9.851345405323307e-05, "loss": 0.29183459281921387, "memory/device_reserved (GiB)": 77.12, "memory/max_active (GiB)": 74.03, "memory/max_allocated (GiB)": 74.03, "ppl": 1.33888, "step": 104, "tokens/total": 25640512, "tokens/train_per_sec_per_gpu": 13.7, "tokens/trainable": 204885 }, { "epoch": 0.21428571428571427, "grad_norm": 0.2823760211467743, "learning_rate": 9.84732127750782e-05, "loss": 0.22634169459342957, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 76.13, "memory/max_allocated (GiB)": 76.13, "ppl": 1.254, "step": 105, "tokens/total": 25880832, "tokens/train_per_sec_per_gpu": 12.23, "tokens/trainable": 206643 }, { "epoch": 0.2163265306122449, "grad_norm": 0.22927753627300262, "learning_rate": 9.843244251586397e-05, "loss": 0.1902308166027069, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 76.1, "memory/max_allocated (GiB)": 76.1, "ppl": 1.20953, "step": 106, "tokens/total": 26132928, "tokens/train_per_sec_per_gpu": 11.31, "tokens/trainable": 208388 }, { "epoch": 0.21836734693877552, "grad_norm": 0.268435537815094, "learning_rate": 9.839114372051024e-05, "loss": 0.2938929796218872, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 74.0, "memory/max_allocated (GiB)": 74.0, "ppl": 1.34164, "step": 107, "tokens/total": 26360768, "tokens/train_per_sec_per_gpu": 13.07, "tokens/trainable": 210308 }, { "epoch": 0.22040816326530613, "grad_norm": 0.2757108509540558, "learning_rate": 9.834931683970468e-05, "loss": 0.2682138979434967, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 72.15, "memory/max_allocated (GiB)": 72.15, "ppl": 1.30763, "step": 108, "tokens/total": 26586944, "tokens/train_per_sec_per_gpu": 12.24, "tokens/trainable": 212251 }, { "epoch": 0.22244897959183674, "grad_norm": 0.2802518904209137, "learning_rate": 9.830696232989793e-05, "loss": 0.2823032736778259, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 74.12, "memory/max_allocated (GiB)": 74.12, "ppl": 1.32618, "step": 109, "tokens/total": 26843840, "tokens/train_per_sec_per_gpu": 13.56, "tokens/trainable": 214312 }, { "epoch": 0.22448979591836735, "grad_norm": 0.5594452023506165, "learning_rate": 9.826408065329853e-05, "loss": 0.38349130749702454, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 76.18, "memory/max_allocated (GiB)": 76.18, "ppl": 1.4674, "step": 110, "tokens/total": 27089600, "tokens/train_per_sec_per_gpu": 12.47, "tokens/trainable": 216567 }, { "epoch": 0.22653061224489796, "grad_norm": 0.2607867419719696, "learning_rate": 9.822067227786793e-05, "loss": 0.31956565380096436, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 74.22, "memory/max_allocated (GiB)": 74.22, "ppl": 1.37653, "step": 111, "tokens/total": 27325696, "tokens/train_per_sec_per_gpu": 15.4, "tokens/trainable": 218793 }, { "epoch": 0.22857142857142856, "grad_norm": 0.6517570614814758, "learning_rate": 9.817673767731535e-05, "loss": 0.20926529169082642, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 73.62, "memory/max_allocated (GiB)": 73.62, "ppl": 1.23277, "step": 112, "tokens/total": 27571328, "tokens/train_per_sec_per_gpu": 9.82, "tokens/trainable": 220384 }, { "epoch": 0.23061224489795917, "grad_norm": 0.2895031273365021, "learning_rate": 9.813227733109268e-05, "loss": 0.3075171113014221, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 76.02, "memory/max_allocated (GiB)": 76.02, "ppl": 1.36004, "step": 113, "tokens/total": 27822464, "tokens/train_per_sec_per_gpu": 12.46, "tokens/trainable": 222598 }, { "epoch": 0.23265306122448978, "grad_norm": 0.2864657938480377, "learning_rate": 9.808729172438908e-05, "loss": 0.371175616979599, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 73.87, "memory/max_allocated (GiB)": 73.87, "ppl": 1.44944, "step": 114, "tokens/total": 28060800, "tokens/train_per_sec_per_gpu": 14.41, "tokens/trainable": 224757 }, { "epoch": 0.23469387755102042, "grad_norm": 0.2823830842971802, "learning_rate": 9.804178134812596e-05, "loss": 0.32755061984062195, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 73.92, "memory/max_allocated (GiB)": 73.92, "ppl": 1.38757, "step": 115, "tokens/total": 28311232, "tokens/train_per_sec_per_gpu": 12.9, "tokens/trainable": 226762 }, { "epoch": 0.23673469387755103, "grad_norm": 0.31970539689064026, "learning_rate": 9.799574669895133e-05, "loss": 0.4158673882484436, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 75.42, "memory/max_allocated (GiB)": 75.42, "ppl": 1.51568, "step": 116, "tokens/total": 28578496, "tokens/train_per_sec_per_gpu": 12.92, "tokens/trainable": 228958 }, { "epoch": 0.23877551020408164, "grad_norm": 0.3378254473209381, "learning_rate": 9.794918827923458e-05, "loss": 0.27569928765296936, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 72.04, "memory/max_allocated (GiB)": 72.04, "ppl": 1.31745, "step": 117, "tokens/total": 28820800, "tokens/train_per_sec_per_gpu": 11.08, "tokens/trainable": 230817 }, { "epoch": 0.24081632653061225, "grad_norm": 0.4628329575061798, "learning_rate": 9.790210659706089e-05, "loss": 0.2634648084640503, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.30143, "step": 118, "tokens/total": 29091200, "tokens/train_per_sec_per_gpu": 11.53, "tokens/trainable": 232783 }, { "epoch": 0.24285714285714285, "grad_norm": 0.25572919845581055, "learning_rate": 9.785450216622579e-05, "loss": 0.2887064814567566, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 75.69, "memory/max_allocated (GiB)": 75.69, "ppl": 1.3347, "step": 119, "tokens/total": 29355520, "tokens/train_per_sec_per_gpu": 10.76, "tokens/trainable": 234569 }, { "epoch": 0.24489795918367346, "grad_norm": 0.3095442056655884, "learning_rate": 9.780637550622941e-05, "loss": 0.31611189246177673, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 73.9, "memory/max_allocated (GiB)": 73.9, "ppl": 1.37178, "step": 120, "tokens/total": 29599296, "tokens/train_per_sec_per_gpu": 13.69, "tokens/trainable": 236559 }, { "epoch": 0.24693877551020407, "grad_norm": 0.42760133743286133, "learning_rate": 9.775772714227096e-05, "loss": 0.27209585905075073, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 74.88, "memory/max_allocated (GiB)": 74.88, "ppl": 1.31271, "step": 121, "tokens/total": 29828288, "tokens/train_per_sec_per_gpu": 14.38, "tokens/trainable": 238519 }, { "epoch": 0.24897959183673468, "grad_norm": 0.8849247097969055, "learning_rate": 9.770855760524288e-05, "loss": 0.22954438626766205, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 75.83, "memory/max_allocated (GiB)": 75.83, "ppl": 1.25803, "step": 122, "tokens/total": 30097920, "tokens/train_per_sec_per_gpu": 9.72, "tokens/trainable": 240260 }, { "epoch": 0.2510204081632653, "grad_norm": 0.29249808192253113, "learning_rate": 9.765886743172511e-05, "loss": 0.3366485834121704, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 76.21, "memory/max_allocated (GiB)": 76.21, "ppl": 1.40025, "step": 123, "tokens/total": 30341760, "tokens/train_per_sec_per_gpu": 14.18, "tokens/trainable": 242301 }, { "epoch": 0.2530612244897959, "grad_norm": 0.2477550059556961, "learning_rate": 9.760865716397924e-05, "loss": 0.26008856296539307, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.29704, "step": 124, "tokens/total": 30606272, "tokens/train_per_sec_per_gpu": 11.8, "tokens/trainable": 244133 }, { "epoch": 0.25510204081632654, "grad_norm": 0.2991919219493866, "learning_rate": 9.755792734994255e-05, "loss": 0.2831898033618927, "memory/device_reserved (GiB)": 77.14, "memory/max_active (GiB)": 73.51, "memory/max_allocated (GiB)": 73.51, "ppl": 1.32736, "step": 125, "tokens/total": 30841408, "tokens/train_per_sec_per_gpu": 11.69, "tokens/trainable": 245844 }, { "epoch": 0.2571428571428571, "grad_norm": 0.2869957983493805, "learning_rate": 9.750667854322207e-05, "loss": 0.29190540313720703, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 76.18, "memory/max_allocated (GiB)": 76.18, "ppl": 1.33898, "step": 126, "tokens/total": 31081472, "tokens/train_per_sec_per_gpu": 8.64, "tokens/trainable": 247730 }, { "epoch": 0.25918367346938775, "grad_norm": 0.2700897455215454, "learning_rate": 9.745491130308848e-05, "loss": 0.2809198796749115, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 75.04, "memory/max_allocated (GiB)": 75.04, "ppl": 1.32435, "step": 127, "tokens/total": 31318592, "tokens/train_per_sec_per_gpu": 12.27, "tokens/trainable": 249627 }, { "epoch": 0.2612244897959184, "grad_norm": 0.3195943534374237, "learning_rate": 9.74026261944701e-05, "loss": 0.2954328656196594, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 72.15, "memory/max_allocated (GiB)": 72.15, "ppl": 1.34371, "step": 128, "tokens/total": 31555904, "tokens/train_per_sec_per_gpu": 11.63, "tokens/trainable": 251506 }, { "epoch": 0.26326530612244897, "grad_norm": 0.25746840238571167, "learning_rate": 9.734982378794661e-05, "loss": 0.2928959131240845, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 76.29, "memory/max_allocated (GiB)": 76.29, "ppl": 1.3403, "step": 129, "tokens/total": 31787776, "tokens/train_per_sec_per_gpu": 12.94, "tokens/trainable": 253415 }, { "epoch": 0.2653061224489796, "grad_norm": 0.27648335695266724, "learning_rate": 9.729650465974299e-05, "loss": 0.27435725927352905, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 74.06, "memory/max_allocated (GiB)": 74.06, "ppl": 1.31568, "step": 130, "tokens/total": 32039488, "tokens/train_per_sec_per_gpu": 12.14, "tokens/trainable": 255297 }, { "epoch": 0.2673469387755102, "grad_norm": 0.3401206135749817, "learning_rate": 9.724266939172302e-05, "loss": 0.3491106629371643, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 73.11, "memory/max_allocated (GiB)": 73.11, "ppl": 1.41781, "step": 131, "tokens/total": 32282560, "tokens/train_per_sec_per_gpu": 13.1, "tokens/trainable": 257159 }, { "epoch": 0.2693877551020408, "grad_norm": 0.27172669768333435, "learning_rate": 9.718831857138309e-05, "loss": 0.28538137674331665, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 75.94, "memory/max_allocated (GiB)": 75.94, "ppl": 1.33027, "step": 132, "tokens/total": 32520768, "tokens/train_per_sec_per_gpu": 14.36, "tokens/trainable": 259207 }, { "epoch": 0.2714285714285714, "grad_norm": 0.2485136240720749, "learning_rate": 9.713345279184573e-05, "loss": 0.2645806670188904, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 73.36, "memory/max_allocated (GiB)": 73.36, "ppl": 1.30288, "step": 133, "tokens/total": 32780928, "tokens/train_per_sec_per_gpu": 12.27, "tokens/trainable": 261322 }, { "epoch": 0.27346938775510204, "grad_norm": 0.3484657108783722, "learning_rate": 9.707807265185314e-05, "loss": 0.35569071769714355, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 73.24, "memory/max_allocated (GiB)": 73.24, "ppl": 1.42717, "step": 134, "tokens/total": 33009600, "tokens/train_per_sec_per_gpu": 12.76, "tokens/trainable": 263351 }, { "epoch": 0.2755102040816326, "grad_norm": 0.3266739547252655, "learning_rate": 9.702217875576068e-05, "loss": 0.3133898377418518, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 75.31, "memory/max_allocated (GiB)": 75.31, "ppl": 1.36805, "step": 135, "tokens/total": 33260288, "tokens/train_per_sec_per_gpu": 12.93, "tokens/trainable": 265322 }, { "epoch": 0.27755102040816326, "grad_norm": 0.30616116523742676, "learning_rate": 9.69657717135302e-05, "loss": 0.35253050923347473, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 74.88, "memory/max_allocated (GiB)": 74.88, "ppl": 1.42266, "step": 136, "tokens/total": 33525632, "tokens/train_per_sec_per_gpu": 11.93, "tokens/trainable": 267374 }, { "epoch": 0.2795918367346939, "grad_norm": 0.24909131228923798, "learning_rate": 9.690885214072352e-05, "loss": 0.2477751225233078, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 76.05, "memory/max_allocated (GiB)": 76.05, "ppl": 1.28117, "step": 137, "tokens/total": 33775872, "tokens/train_per_sec_per_gpu": 12.36, "tokens/trainable": 269403 }, { "epoch": 0.2816326530612245, "grad_norm": 0.27541583776474, "learning_rate": 9.685142065849556e-05, "loss": 0.26661932468414307, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 72.83, "memory/max_allocated (GiB)": 72.83, "ppl": 1.30554, "step": 138, "tokens/total": 34006400, "tokens/train_per_sec_per_gpu": 13.13, "tokens/trainable": 271301 }, { "epoch": 0.2836734693877551, "grad_norm": 0.25799280405044556, "learning_rate": 9.679347789358766e-05, "loss": 0.25472038984298706, "memory/device_reserved (GiB)": 77.29, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.2901, "step": 139, "tokens/total": 34284992, "tokens/train_per_sec_per_gpu": 10.12, "tokens/trainable": 273314 }, { "epoch": 0.2857142857142857, "grad_norm": 0.30096814036369324, "learning_rate": 9.673502447832071e-05, "loss": 0.3603587746620178, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 76.64, "memory/max_allocated (GiB)": 76.64, "ppl": 1.43384, "step": 140, "tokens/total": 34536000, "tokens/train_per_sec_per_gpu": 12.71, "tokens/trainable": 275380 }, { "epoch": 0.28775510204081634, "grad_norm": 0.3104712665081024, "learning_rate": 9.667606105058828e-05, "loss": 0.29542291164398193, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 72.75, "memory/max_allocated (GiB)": 72.75, "ppl": 1.34369, "step": 141, "tokens/total": 34783360, "tokens/train_per_sec_per_gpu": 10.77, "tokens/trainable": 277127 }, { "epoch": 0.2897959183673469, "grad_norm": 0.30640509724617004, "learning_rate": 9.661658825384959e-05, "loss": 0.3147083520889282, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 72.26, "memory/max_allocated (GiB)": 72.26, "ppl": 1.36986, "step": 142, "tokens/total": 35014912, "tokens/train_per_sec_per_gpu": 12.62, "tokens/trainable": 278957 }, { "epoch": 0.29183673469387755, "grad_norm": 0.2548229992389679, "learning_rate": 9.655660673712254e-05, "loss": 0.31100380420684814, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.99, "memory/max_allocated (GiB)": 75.99, "ppl": 1.36479, "step": 143, "tokens/total": 35273536, "tokens/train_per_sec_per_gpu": 11.7, "tokens/trainable": 280951 }, { "epoch": 0.2938775510204082, "grad_norm": 0.29141655564308167, "learning_rate": 9.649611715497662e-05, "loss": 0.27038058638572693, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.18, "memory/max_allocated (GiB)": 75.18, "ppl": 1.31046, "step": 144, "tokens/total": 35527168, "tokens/train_per_sec_per_gpu": 11.5, "tokens/trainable": 282752 }, { "epoch": 0.29591836734693877, "grad_norm": 0.43348321318626404, "learning_rate": 9.643512016752579e-05, "loss": 0.4798806607723236, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.23, "memory/max_allocated (GiB)": 75.23, "ppl": 1.61588, "step": 145, "tokens/total": 35796480, "tokens/train_per_sec_per_gpu": 11.25, "tokens/trainable": 284653 }, { "epoch": 0.2979591836734694, "grad_norm": 0.2728241980075836, "learning_rate": 9.637361644042118e-05, "loss": 0.286792516708374, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 76.56, "memory/max_allocated (GiB)": 76.56, "ppl": 1.33215, "step": 146, "tokens/total": 36064384, "tokens/train_per_sec_per_gpu": 10.29, "tokens/trainable": 286479 }, { "epoch": 0.3, "grad_norm": 0.30759933590888977, "learning_rate": 9.631160664484398e-05, "loss": 0.32493382692337036, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 73.81, "memory/max_allocated (GiB)": 73.81, "ppl": 1.38394, "step": 147, "tokens/total": 36328320, "tokens/train_per_sec_per_gpu": 13.16, "tokens/trainable": 288740 }, { "epoch": 0.3020408163265306, "grad_norm": 0.2914741635322571, "learning_rate": 9.624909145749798e-05, "loss": 0.33574390411376953, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 73.57, "memory/max_allocated (GiB)": 73.57, "ppl": 1.39898, "step": 148, "tokens/total": 36571648, "tokens/train_per_sec_per_gpu": 13.25, "tokens/trainable": 290562 }, { "epoch": 0.3040816326530612, "grad_norm": 0.29609742760658264, "learning_rate": 9.618607156060227e-05, "loss": 0.2782217264175415, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.15, "memory/max_allocated (GiB)": 75.15, "ppl": 1.32078, "step": 149, "tokens/total": 36835264, "tokens/train_per_sec_per_gpu": 12.51, "tokens/trainable": 292578 }, { "epoch": 0.30612244897959184, "grad_norm": 0.28771230578422546, "learning_rate": 9.612254764188369e-05, "loss": 0.3707728981971741, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 73.84, "memory/max_allocated (GiB)": 73.84, "ppl": 1.44885, "step": 150, "tokens/total": 37060352, "tokens/train_per_sec_per_gpu": 12.85, "tokens/trainable": 294477 }, { "epoch": 0.3081632653061224, "grad_norm": 0.3155246675014496, "learning_rate": 9.605852039456947e-05, "loss": 0.34479111433029175, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 73.62, "memory/max_allocated (GiB)": 73.62, "ppl": 1.4117, "step": 151, "tokens/total": 37302080, "tokens/train_per_sec_per_gpu": 11.81, "tokens/trainable": 296799 }, { "epoch": 0.31020408163265306, "grad_norm": 0.24003657698631287, "learning_rate": 9.599399051737958e-05, "loss": 0.26617324352264404, "memory/device_reserved (GiB)": 76.61, "memory/max_active (GiB)": 75.75, "memory/max_allocated (GiB)": 75.75, "ppl": 1.30496, "step": 152, "tokens/total": 37547648, "tokens/train_per_sec_per_gpu": 11.95, "tokens/trainable": 298641 }, { "epoch": 0.3122448979591837, "grad_norm": 0.2692473530769348, "learning_rate": 9.592895871451908e-05, "loss": 0.26289498805999756, "memory/device_reserved (GiB)": 76.61, "memory/max_active (GiB)": 75.31, "memory/max_allocated (GiB)": 75.31, "ppl": 1.30069, "step": 153, "tokens/total": 37777408, "tokens/train_per_sec_per_gpu": 10.39, "tokens/trainable": 300321 }, { "epoch": 0.3142857142857143, "grad_norm": 0.26663610339164734, "learning_rate": 9.58634256956705e-05, "loss": 0.3169020414352417, "memory/device_reserved (GiB)": 76.61, "memory/max_active (GiB)": 73.3, "memory/max_allocated (GiB)": 73.3, "ppl": 1.37287, "step": 154, "tokens/total": 38015744, "tokens/train_per_sec_per_gpu": 17.09, "tokens/trainable": 302682 }, { "epoch": 0.3163265306122449, "grad_norm": 0.276568204164505, "learning_rate": 9.579739217598608e-05, "loss": 0.23821114003658295, "memory/device_reserved (GiB)": 76.61, "memory/max_active (GiB)": 75.07, "memory/max_allocated (GiB)": 75.07, "ppl": 1.26898, "step": 155, "tokens/total": 38262912, "tokens/train_per_sec_per_gpu": 14.11, "tokens/trainable": 304982 }, { "epoch": 0.3183673469387755, "grad_norm": 0.2808186411857605, "learning_rate": 9.573085887607991e-05, "loss": 0.29930347204208374, "memory/device_reserved (GiB)": 76.61, "memory/max_active (GiB)": 72.21, "memory/max_allocated (GiB)": 72.21, "ppl": 1.34892, "step": 156, "tokens/total": 38483264, "tokens/train_per_sec_per_gpu": 16.27, "tokens/trainable": 307115 }, { "epoch": 0.32040816326530613, "grad_norm": 0.25718843936920166, "learning_rate": 9.566382652202013e-05, "loss": 0.22872576117515564, "memory/device_reserved (GiB)": 77.45, "memory/max_active (GiB)": 76.56, "memory/max_allocated (GiB)": 76.56, "ppl": 1.257, "step": 157, "tokens/total": 38730240, "tokens/train_per_sec_per_gpu": 11.61, "tokens/trainable": 309080 }, { "epoch": 0.3224489795918367, "grad_norm": 0.3126402497291565, "learning_rate": 9.559629584532099e-05, "loss": 0.38535940647125244, "memory/device_reserved (GiB)": 77.45, "memory/max_active (GiB)": 72.48, "memory/max_allocated (GiB)": 72.48, "ppl": 1.47014, "step": 158, "tokens/total": 38973440, "tokens/train_per_sec_per_gpu": 12.48, "tokens/trainable": 311082 }, { "epoch": 0.32448979591836735, "grad_norm": 0.2776803970336914, "learning_rate": 9.552826758293487e-05, "loss": 0.27426379919052124, "memory/device_reserved (GiB)": 77.45, "memory/max_active (GiB)": 74.28, "memory/max_allocated (GiB)": 74.28, "ppl": 1.31556, "step": 159, "tokens/total": 39198784, "tokens/train_per_sec_per_gpu": 11.78, "tokens/trainable": 312908 }, { "epoch": 0.32653061224489793, "grad_norm": 0.2852776050567627, "learning_rate": 9.54597424772442e-05, "loss": 0.3446773588657379, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 76.64, "memory/max_allocated (GiB)": 76.64, "ppl": 1.41153, "step": 160, "tokens/total": 39459840, "tokens/train_per_sec_per_gpu": 11.07, "tokens/trainable": 314839 }, { "epoch": 0.32857142857142857, "grad_norm": 0.28382131457328796, "learning_rate": 9.539072127605342e-05, "loss": 0.3068111538887024, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 76.07, "memory/max_allocated (GiB)": 76.07, "ppl": 1.35908, "step": 161, "tokens/total": 39709184, "tokens/train_per_sec_per_gpu": 11.66, "tokens/trainable": 316710 }, { "epoch": 0.3306122448979592, "grad_norm": 0.3279019892215729, "learning_rate": 9.532120473258075e-05, "loss": 0.4070303440093994, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.92, "memory/max_allocated (GiB)": 72.92, "ppl": 1.50235, "step": 162, "tokens/total": 39959232, "tokens/train_per_sec_per_gpu": 11.75, "tokens/trainable": 318693 }, { "epoch": 0.3326530612244898, "grad_norm": 0.2982117235660553, "learning_rate": 9.525119360545004e-05, "loss": 0.34509584307670593, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.41213, "step": 163, "tokens/total": 40214080, "tokens/train_per_sec_per_gpu": 11.81, "tokens/trainable": 320608 }, { "epoch": 0.3346938775510204, "grad_norm": 0.25095808506011963, "learning_rate": 9.518068865868245e-05, "loss": 0.2849389314651489, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.67, "memory/max_allocated (GiB)": 75.67, "ppl": 1.32968, "step": 164, "tokens/total": 40433280, "tokens/train_per_sec_per_gpu": 12.92, "tokens/trainable": 322508 }, { "epoch": 0.336734693877551, "grad_norm": 0.24955125153064728, "learning_rate": 9.510969066168813e-05, "loss": 0.26943549513816833, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.75, "memory/max_allocated (GiB)": 76.75, "ppl": 1.30923, "step": 165, "tokens/total": 40674624, "tokens/train_per_sec_per_gpu": 12.35, "tokens/trainable": 324615 }, { "epoch": 0.33877551020408164, "grad_norm": 0.311704158782959, "learning_rate": 9.503820038925782e-05, "loss": 0.3359563946723938, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.81, "memory/max_allocated (GiB)": 76.81, "ppl": 1.39928, "step": 166, "tokens/total": 40929600, "tokens/train_per_sec_per_gpu": 12.27, "tokens/trainable": 326703 }, { "epoch": 0.3408163265306122, "grad_norm": 0.26562872529029846, "learning_rate": 9.496621862155433e-05, "loss": 0.33208560943603516, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.6, "memory/max_allocated (GiB)": 74.6, "ppl": 1.39387, "step": 167, "tokens/total": 41178112, "tokens/train_per_sec_per_gpu": 12.48, "tokens/trainable": 328707 }, { "epoch": 0.34285714285714286, "grad_norm": 0.3553466498851776, "learning_rate": 9.489374614410413e-05, "loss": 0.3184070587158203, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.08, "memory/max_allocated (GiB)": 73.08, "ppl": 1.37494, "step": 168, "tokens/total": 41413248, "tokens/train_per_sec_per_gpu": 9.75, "tokens/trainable": 330454 }, { "epoch": 0.3448979591836735, "grad_norm": 0.24358566105365753, "learning_rate": 9.482078374778877e-05, "loss": 0.2871302366256714, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.07, "memory/max_allocated (GiB)": 75.07, "ppl": 1.3326, "step": 169, "tokens/total": 41664768, "tokens/train_per_sec_per_gpu": 11.83, "tokens/trainable": 332291 }, { "epoch": 0.3469387755102041, "grad_norm": 0.24818101525306702, "learning_rate": 9.474733222883618e-05, "loss": 0.30461373925209045, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.58, "memory/max_allocated (GiB)": 74.58, "ppl": 1.3561, "step": 170, "tokens/total": 41912320, "tokens/train_per_sec_per_gpu": 13.83, "tokens/trainable": 334598 }, { "epoch": 0.3489795918367347, "grad_norm": 0.3133099377155304, "learning_rate": 9.467339238881199e-05, "loss": 0.27984052896499634, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.1, "memory/max_allocated (GiB)": 72.1, "ppl": 1.32292, "step": 171, "tokens/total": 42158912, "tokens/train_per_sec_per_gpu": 10.95, "tokens/trainable": 336300 }, { "epoch": 0.3510204081632653, "grad_norm": 0.2956582307815552, "learning_rate": 9.459896503461081e-05, "loss": 0.3749943971633911, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.15, "memory/max_allocated (GiB)": 76.15, "ppl": 1.45498, "step": 172, "tokens/total": 42403968, "tokens/train_per_sec_per_gpu": 13.75, "tokens/trainable": 338598 }, { "epoch": 0.35306122448979593, "grad_norm": 0.25042635202407837, "learning_rate": 9.452405097844745e-05, "loss": 0.32250380516052246, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.43, "memory/max_allocated (GiB)": 76.43, "ppl": 1.38058, "step": 173, "tokens/total": 42656192, "tokens/train_per_sec_per_gpu": 12.65, "tokens/trainable": 340730 }, { "epoch": 0.3551020408163265, "grad_norm": 0.3163611888885498, "learning_rate": 9.444865103784804e-05, "loss": 0.358521431684494, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.49, "memory/max_allocated (GiB)": 74.49, "ppl": 1.43121, "step": 174, "tokens/total": 42891776, "tokens/train_per_sec_per_gpu": 13.19, "tokens/trainable": 342662 }, { "epoch": 0.35714285714285715, "grad_norm": 0.2791230380535126, "learning_rate": 9.437276603564103e-05, "loss": 0.2755742073059082, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.17, "memory/max_allocated (GiB)": 75.17, "ppl": 1.31729, "step": 175, "tokens/total": 43108672, "tokens/train_per_sec_per_gpu": 15.83, "tokens/trainable": 344711 }, { "epoch": 0.35918367346938773, "grad_norm": 0.2673008441925049, "learning_rate": 9.429639679994835e-05, "loss": 0.2903071343898773, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.78, "memory/max_allocated (GiB)": 76.78, "ppl": 1.33684, "step": 176, "tokens/total": 43363648, "tokens/train_per_sec_per_gpu": 7.56, "tokens/trainable": 346404 }, { "epoch": 0.36122448979591837, "grad_norm": 0.255515456199646, "learning_rate": 9.421954416417624e-05, "loss": 0.29625675082206726, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 73.43, "memory/max_allocated (GiB)": 73.43, "ppl": 1.34482, "step": 177, "tokens/total": 43619328, "tokens/train_per_sec_per_gpu": 10.84, "tokens/trainable": 348353 }, { "epoch": 0.363265306122449, "grad_norm": 0.23868580162525177, "learning_rate": 9.414220896700625e-05, "loss": 0.243681401014328, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 75.96, "memory/max_allocated (GiB)": 75.96, "ppl": 1.27594, "step": 178, "tokens/total": 43864576, "tokens/train_per_sec_per_gpu": 12.37, "tokens/trainable": 350306 }, { "epoch": 0.3653061224489796, "grad_norm": 0.2819514870643616, "learning_rate": 9.406439205238604e-05, "loss": 0.2865571975708008, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 73.08, "memory/max_allocated (GiB)": 73.08, "ppl": 1.33183, "step": 179, "tokens/total": 44110464, "tokens/train_per_sec_per_gpu": 14.06, "tokens/trainable": 352775 }, { "epoch": 0.3673469387755102, "grad_norm": 0.379252165555954, "learning_rate": 9.398609426952019e-05, "loss": 0.2871363162994385, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.07, "memory/max_allocated (GiB)": 76.07, "ppl": 1.33261, "step": 180, "tokens/total": 44379840, "tokens/train_per_sec_per_gpu": 10.57, "tokens/trainable": 354683 }, { "epoch": 0.3693877551020408, "grad_norm": 0.28169211745262146, "learning_rate": 9.390731647286089e-05, "loss": 0.26943761110305786, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 73.32, "memory/max_allocated (GiB)": 73.32, "ppl": 1.30923, "step": 181, "tokens/total": 44580160, "tokens/train_per_sec_per_gpu": 11.75, "tokens/trainable": 356470 }, { "epoch": 0.37142857142857144, "grad_norm": 0.3467806279659271, "learning_rate": 9.382805952209871e-05, "loss": 0.28104543685913086, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.29, "memory/max_allocated (GiB)": 76.29, "ppl": 1.32451, "step": 182, "tokens/total": 44835008, "tokens/train_per_sec_per_gpu": 12.22, "tokens/trainable": 358392 }, { "epoch": 0.373469387755102, "grad_norm": 0.2689661383628845, "learning_rate": 9.37483242821531e-05, "loss": 0.27438846230506897, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 72.37, "memory/max_allocated (GiB)": 72.37, "ppl": 1.31573, "step": 183, "tokens/total": 45072064, "tokens/train_per_sec_per_gpu": 12.5, "tokens/trainable": 360336 }, { "epoch": 0.37551020408163266, "grad_norm": 0.30542707443237305, "learning_rate": 9.366811162316306e-05, "loss": 0.32957538962364197, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 73.02, "memory/max_allocated (GiB)": 73.02, "ppl": 1.39038, "step": 184, "tokens/total": 45318912, "tokens/train_per_sec_per_gpu": 11.61, "tokens/trainable": 362210 }, { "epoch": 0.37755102040816324, "grad_norm": 0.3197149336338043, "learning_rate": 9.358742242047754e-05, "loss": 0.31359681487083435, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 74.79, "memory/max_allocated (GiB)": 74.79, "ppl": 1.36834, "step": 185, "tokens/total": 45543488, "tokens/train_per_sec_per_gpu": 13.12, "tokens/trainable": 364203 }, { "epoch": 0.3795918367346939, "grad_norm": 0.28580036759376526, "learning_rate": 9.3506257554646e-05, "loss": 0.28920769691467285, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 71.94, "memory/max_allocated (GiB)": 71.94, "ppl": 1.33537, "step": 186, "tokens/total": 45772736, "tokens/train_per_sec_per_gpu": 12.88, "tokens/trainable": 366163 }, { "epoch": 0.3816326530612245, "grad_norm": 0.31438928842544556, "learning_rate": 9.342461791140869e-05, "loss": 0.2657240331172943, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 75.91, "memory/max_allocated (GiB)": 75.91, "ppl": 1.30438, "step": 187, "tokens/total": 46011712, "tokens/train_per_sec_per_gpu": 10.7, "tokens/trainable": 367799 }, { "epoch": 0.3836734693877551, "grad_norm": 0.30836033821105957, "learning_rate": 9.334250438168708e-05, "loss": 0.3199600577354431, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 75.23, "memory/max_allocated (GiB)": 75.23, "ppl": 1.37707, "step": 188, "tokens/total": 46228096, "tokens/train_per_sec_per_gpu": 13.53, "tokens/trainable": 369776 }, { "epoch": 0.38571428571428573, "grad_norm": 0.35285985469818115, "learning_rate": 9.325991786157404e-05, "loss": 0.31909671425819397, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.62, "memory/max_allocated (GiB)": 76.62, "ppl": 1.37588, "step": 189, "tokens/total": 46467904, "tokens/train_per_sec_per_gpu": 12.24, "tokens/trainable": 371863 }, { "epoch": 0.3877551020408163, "grad_norm": 0.241706982254982, "learning_rate": 9.317685925232419e-05, "loss": 0.2664746940135956, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 74.11, "memory/max_allocated (GiB)": 74.11, "ppl": 1.30535, "step": 190, "tokens/total": 46700224, "tokens/train_per_sec_per_gpu": 15.81, "tokens/trainable": 374102 }, { "epoch": 0.38979591836734695, "grad_norm": 0.2703701853752136, "learning_rate": 9.309332946034392e-05, "loss": 0.2703375220298767, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 74.98, "memory/max_allocated (GiB)": 74.98, "ppl": 1.31041, "step": 191, "tokens/total": 46950848, "tokens/train_per_sec_per_gpu": 11.92, "tokens/trainable": 375980 }, { "epoch": 0.39183673469387753, "grad_norm": 0.2964496612548828, "learning_rate": 9.300932939718159e-05, "loss": 0.31706342101097107, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 72.37, "memory/max_allocated (GiB)": 72.37, "ppl": 1.37309, "step": 192, "tokens/total": 47188160, "tokens/train_per_sec_per_gpu": 12.62, "tokens/trainable": 377889 }, { "epoch": 0.39387755102040817, "grad_norm": 0.29765358567237854, "learning_rate": 9.292485997951759e-05, "loss": 0.29366958141326904, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.59, "memory/max_allocated (GiB)": 76.59, "ppl": 1.34134, "step": 193, "tokens/total": 47436288, "tokens/train_per_sec_per_gpu": 10.37, "tokens/trainable": 379651 }, { "epoch": 0.39591836734693875, "grad_norm": 0.26283350586891174, "learning_rate": 9.283992212915427e-05, "loss": 0.3029991090297699, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 72.75, "memory/max_allocated (GiB)": 72.75, "ppl": 1.35391, "step": 194, "tokens/total": 47675776, "tokens/train_per_sec_per_gpu": 12.82, "tokens/trainable": 381553 }, { "epoch": 0.3979591836734694, "grad_norm": 0.25369948148727417, "learning_rate": 9.275451677300591e-05, "loss": 0.30793553590774536, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.36061, "step": 195, "tokens/total": 47912704, "tokens/train_per_sec_per_gpu": 13.38, "tokens/trainable": 383432 }, { "epoch": 0.4, "grad_norm": 0.2838038504123688, "learning_rate": 9.266864484308866e-05, "loss": 0.2943202257156372, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.78, "memory/max_allocated (GiB)": 76.78, "ppl": 1.34221, "step": 196, "tokens/total": 48137088, "tokens/train_per_sec_per_gpu": 14.07, "tokens/trainable": 385535 }, { "epoch": 0.4020408163265306, "grad_norm": 0.2468489110469818, "learning_rate": 9.258230727651028e-05, "loss": 0.25899794697761536, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 73.79, "memory/max_allocated (GiB)": 73.79, "ppl": 1.29563, "step": 197, "tokens/total": 48394240, "tokens/train_per_sec_per_gpu": 15.65, "tokens/trainable": 388061 }, { "epoch": 0.40408163265306124, "grad_norm": 0.24155408143997192, "learning_rate": 9.249550501545997e-05, "loss": 0.30748817324638367, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 75.5, "memory/max_allocated (GiB)": 75.5, "ppl": 1.36, "step": 198, "tokens/total": 48645184, "tokens/train_per_sec_per_gpu": 13.67, "tokens/trainable": 390121 }, { "epoch": 0.4061224489795918, "grad_norm": 0.2673620879650116, "learning_rate": 9.240823900719807e-05, "loss": 0.3003724217414856, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 72.81, "memory/max_allocated (GiB)": 72.81, "ppl": 1.35036, "step": 199, "tokens/total": 48895616, "tokens/train_per_sec_per_gpu": 12.07, "tokens/trainable": 391941 }, { "epoch": 0.40816326530612246, "grad_norm": 0.2946039140224457, "learning_rate": 9.232051020404573e-05, "loss": 0.2821658253669739, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 72.73, "memory/max_allocated (GiB)": 72.73, "ppl": 1.326, "step": 200, "tokens/total": 49133184, "tokens/train_per_sec_per_gpu": 10.98, "tokens/trainable": 393669 }, { "epoch": 0.41020408163265304, "grad_norm": 0.2829929292201996, "learning_rate": 9.22323195633745e-05, "loss": 0.3213472366333008, "memory/device_reserved (GiB)": 77.88, "memory/max_active (GiB)": 76.4, "memory/max_allocated (GiB)": 76.4, "ppl": 1.37898, "step": 201, "tokens/total": 49376000, "tokens/train_per_sec_per_gpu": 10.63, "tokens/trainable": 395917 }, { "epoch": 0.4122448979591837, "grad_norm": 0.37282848358154297, "learning_rate": 9.214366804759588e-05, "loss": 0.2857997417449951, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.91, "memory/max_allocated (GiB)": 75.91, "ppl": 1.33083, "step": 202, "tokens/total": 49614720, "tokens/train_per_sec_per_gpu": 13.19, "tokens/trainable": 398069 }, { "epoch": 0.4142857142857143, "grad_norm": 0.4424976706504822, "learning_rate": 9.205455662415093e-05, "loss": 0.3311164379119873, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.21, "memory/max_allocated (GiB)": 72.21, "ppl": 1.39252, "step": 203, "tokens/total": 49836480, "tokens/train_per_sec_per_gpu": 17.48, "tokens/trainable": 400171 }, { "epoch": 0.4163265306122449, "grad_norm": 0.2771094739437103, "learning_rate": 9.196498626549945e-05, "loss": 0.30752241611480713, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 74.47, "memory/max_allocated (GiB)": 74.47, "ppl": 1.36005, "step": 204, "tokens/total": 50109120, "tokens/train_per_sec_per_gpu": 9.94, "tokens/trainable": 401913 }, { "epoch": 0.41836734693877553, "grad_norm": 0.21018214523792267, "learning_rate": 9.187495794910968e-05, "loss": 0.24815361201763153, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 76.21, "memory/max_allocated (GiB)": 76.21, "ppl": 1.28166, "step": 205, "tokens/total": 50386240, "tokens/train_per_sec_per_gpu": 11.55, "tokens/trainable": 403860 }, { "epoch": 0.4204081632653061, "grad_norm": 0.31274956464767456, "learning_rate": 9.17844726574474e-05, "loss": 0.29557710886001587, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.32, "memory/max_allocated (GiB)": 72.32, "ppl": 1.3439, "step": 206, "tokens/total": 50616768, "tokens/train_per_sec_per_gpu": 16.45, "tokens/trainable": 406101 }, { "epoch": 0.42244897959183675, "grad_norm": 0.2219875305891037, "learning_rate": 9.169353137796534e-05, "loss": 0.27335110306739807, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.48, "memory/max_allocated (GiB)": 72.48, "ppl": 1.31436, "step": 207, "tokens/total": 50854272, "tokens/train_per_sec_per_gpu": 12.29, "tokens/trainable": 408195 }, { "epoch": 0.42448979591836733, "grad_norm": 0.275010347366333, "learning_rate": 9.160213510309234e-05, "loss": 0.26474326848983765, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.62, "memory/max_allocated (GiB)": 72.62, "ppl": 1.3031, "step": 208, "tokens/total": 51083392, "tokens/train_per_sec_per_gpu": 12.87, "tokens/trainable": 410139 }, { "epoch": 0.42653061224489797, "grad_norm": 0.2345055192708969, "learning_rate": 9.151028483022253e-05, "loss": 0.18677058815956116, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 71.96, "memory/max_allocated (GiB)": 71.96, "ppl": 1.20535, "step": 209, "tokens/total": 51315584, "tokens/train_per_sec_per_gpu": 10.31, "tokens/trainable": 411829 }, { "epoch": 0.42857142857142855, "grad_norm": 0.24785961210727692, "learning_rate": 9.141798156170446e-05, "loss": 0.27231812477111816, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 73.68, "memory/max_allocated (GiB)": 73.68, "ppl": 1.313, "step": 210, "tokens/total": 51565632, "tokens/train_per_sec_per_gpu": 10.51, "tokens/trainable": 413776 }, { "epoch": 0.4306122448979592, "grad_norm": 0.3085176646709442, "learning_rate": 9.132522630483017e-05, "loss": 0.33028310537338257, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 76.65, "memory/max_allocated (GiB)": 76.65, "ppl": 1.39136, "step": 211, "tokens/total": 51805120, "tokens/train_per_sec_per_gpu": 10.32, "tokens/trainable": 415533 }, { "epoch": 0.4326530612244898, "grad_norm": 0.24363301694393158, "learning_rate": 9.123202007182416e-05, "loss": 0.287580668926239, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 73.24, "memory/max_allocated (GiB)": 73.24, "ppl": 1.3332, "step": 212, "tokens/total": 52059776, "tokens/train_per_sec_per_gpu": 12.47, "tokens/trainable": 417532 }, { "epoch": 0.4346938775510204, "grad_norm": 0.3014145493507385, "learning_rate": 9.113836387983239e-05, "loss": 0.3328613340854645, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 73.84, "memory/max_allocated (GiB)": 73.84, "ppl": 1.39495, "step": 213, "tokens/total": 52304832, "tokens/train_per_sec_per_gpu": 12.72, "tokens/trainable": 419445 }, { "epoch": 0.43673469387755104, "grad_norm": 0.28564947843551636, "learning_rate": 9.104425875091111e-05, "loss": 0.3582199513912201, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 76.26, "memory/max_allocated (GiB)": 76.26, "ppl": 1.43078, "step": 214, "tokens/total": 52573184, "tokens/train_per_sec_per_gpu": 13.0, "tokens/trainable": 421735 }, { "epoch": 0.4387755102040816, "grad_norm": 0.24365663528442383, "learning_rate": 9.094970571201582e-05, "loss": 0.29590386152267456, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 73.92, "memory/max_allocated (GiB)": 73.92, "ppl": 1.34434, "step": 215, "tokens/total": 52812416, "tokens/train_per_sec_per_gpu": 12.89, "tokens/trainable": 423750 }, { "epoch": 0.44081632653061226, "grad_norm": 0.2833119034767151, "learning_rate": 9.085470579498995e-05, "loss": 0.35366660356521606, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 74.36, "memory/max_allocated (GiB)": 74.36, "ppl": 1.42428, "step": 216, "tokens/total": 53062336, "tokens/train_per_sec_per_gpu": 14.44, "tokens/trainable": 426047 }, { "epoch": 0.44285714285714284, "grad_norm": 0.25222450494766235, "learning_rate": 9.075926003655367e-05, "loss": 0.261421799659729, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.29878, "step": 217, "tokens/total": 53292160, "tokens/train_per_sec_per_gpu": 14.18, "tokens/trainable": 428071 }, { "epoch": 0.4448979591836735, "grad_norm": 0.22040905058383942, "learning_rate": 9.066336947829251e-05, "loss": 0.2836398482322693, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 76.05, "memory/max_allocated (GiB)": 76.05, "ppl": 1.32795, "step": 218, "tokens/total": 53548544, "tokens/train_per_sec_per_gpu": 12.84, "tokens/trainable": 430076 }, { "epoch": 0.44693877551020406, "grad_norm": 0.22903573513031006, "learning_rate": 9.056703516664606e-05, "loss": 0.2966764569282532, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 73.54, "memory/max_allocated (GiB)": 73.54, "ppl": 1.34538, "step": 219, "tokens/total": 53806848, "tokens/train_per_sec_per_gpu": 15.43, "tokens/trainable": 432426 }, { "epoch": 0.4489795918367347, "grad_norm": 0.277042955160141, "learning_rate": 9.047025815289655e-05, "loss": 0.2946584224700928, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.92, "memory/max_allocated (GiB)": 72.92, "ppl": 1.34267, "step": 220, "tokens/total": 54049600, "tokens/train_per_sec_per_gpu": 13.97, "tokens/trainable": 434720 }, { "epoch": 0.45102040816326533, "grad_norm": 0.23950393497943878, "learning_rate": 9.037303949315736e-05, "loss": 0.26722252368927, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.07, "memory/max_allocated (GiB)": 75.07, "ppl": 1.30633, "step": 221, "tokens/total": 54298176, "tokens/train_per_sec_per_gpu": 13.58, "tokens/trainable": 436747 }, { "epoch": 0.4530612244897959, "grad_norm": 0.27701491117477417, "learning_rate": 9.027538024836142e-05, "loss": 0.3390708863735199, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.5, "memory/max_allocated (GiB)": 75.5, "ppl": 1.40364, "step": 222, "tokens/total": 54545792, "tokens/train_per_sec_per_gpu": 13.7, "tokens/trainable": 438709 }, { "epoch": 0.45510204081632655, "grad_norm": 0.27305006980895996, "learning_rate": 9.017728148424974e-05, "loss": 0.2793228030204773, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 71.34, "memory/max_allocated (GiB)": 71.34, "ppl": 1.32223, "step": 223, "tokens/total": 54757952, "tokens/train_per_sec_per_gpu": 12.92, "tokens/trainable": 440507 }, { "epoch": 0.45714285714285713, "grad_norm": 0.3301241993904114, "learning_rate": 9.007874427135977e-05, "loss": 0.2435423582792282, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.86, "memory/max_allocated (GiB)": 75.86, "ppl": 1.27576, "step": 224, "tokens/total": 55005696, "tokens/train_per_sec_per_gpu": 11.19, "tokens/trainable": 442449 }, { "epoch": 0.45918367346938777, "grad_norm": 0.26555532217025757, "learning_rate": 8.997976968501361e-05, "loss": 0.28337737917900085, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 72.83, "memory/max_allocated (GiB)": 72.83, "ppl": 1.32761, "step": 225, "tokens/total": 55256896, "tokens/train_per_sec_per_gpu": 13.91, "tokens/trainable": 444834 }, { "epoch": 0.46122448979591835, "grad_norm": 0.24408915638923645, "learning_rate": 8.988035880530646e-05, "loss": 0.26556074619293213, "memory/device_reserved (GiB)": 77.51, "memory/max_active (GiB)": 75.53, "memory/max_allocated (GiB)": 75.53, "ppl": 1.30416, "step": 226, "tokens/total": 55483776, "tokens/train_per_sec_per_gpu": 9.15, "tokens/trainable": 446848 }, { "epoch": 0.463265306122449, "grad_norm": 0.29348307847976685, "learning_rate": 8.978051271709461e-05, "loss": 0.26864713430404663, "memory/device_reserved (GiB)": 77.08, "memory/max_active (GiB)": 76.35, "memory/max_allocated (GiB)": 76.35, "ppl": 1.30819, "step": 227, "tokens/total": 55743616, "tokens/train_per_sec_per_gpu": 11.26, "tokens/trainable": 448799 }, { "epoch": 0.46530612244897956, "grad_norm": 0.2565111219882965, "learning_rate": 8.968023250998381e-05, "loss": 0.2575717270374298, "memory/device_reserved (GiB)": 77.08, "memory/max_active (GiB)": 72.94, "memory/max_allocated (GiB)": 72.94, "ppl": 1.29378, "step": 228, "tokens/total": 55997760, "tokens/train_per_sec_per_gpu": 10.46, "tokens/trainable": 450576 }, { "epoch": 0.4673469387755102, "grad_norm": 0.2683160901069641, "learning_rate": 8.957951927831722e-05, "loss": 0.3322480320930481, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.78, "memory/max_allocated (GiB)": 76.78, "ppl": 1.3941, "step": 229, "tokens/total": 56248960, "tokens/train_per_sec_per_gpu": 12.09, "tokens/trainable": 452647 }, { "epoch": 0.46938775510204084, "grad_norm": 0.24362893402576447, "learning_rate": 8.94783741211636e-05, "loss": 0.2575136721134186, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 75.91, "memory/max_allocated (GiB)": 75.91, "ppl": 1.29371, "step": 230, "tokens/total": 56543872, "tokens/train_per_sec_per_gpu": 10.94, "tokens/trainable": 454763 }, { "epoch": 0.4714285714285714, "grad_norm": 0.2578815519809723, "learning_rate": 8.937679814230517e-05, "loss": 0.22576625645160675, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.22, "memory/max_allocated (GiB)": 73.22, "ppl": 1.25328, "step": 231, "tokens/total": 56784320, "tokens/train_per_sec_per_gpu": 11.18, "tokens/trainable": 456672 }, { "epoch": 0.47346938775510206, "grad_norm": 0.2743871212005615, "learning_rate": 8.927479245022569e-05, "loss": 0.2976492941379547, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.36, "memory/max_allocated (GiB)": 74.36, "ppl": 1.34669, "step": 232, "tokens/total": 57039808, "tokens/train_per_sec_per_gpu": 11.2, "tokens/trainable": 458524 }, { "epoch": 0.47551020408163264, "grad_norm": 0.26580774784088135, "learning_rate": 8.917235815809835e-05, "loss": 0.29766151309013367, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.25, "memory/max_allocated (GiB)": 74.25, "ppl": 1.34671, "step": 233, "tokens/total": 57304832, "tokens/train_per_sec_per_gpu": 11.22, "tokens/trainable": 460558 }, { "epoch": 0.4775510204081633, "grad_norm": 0.25239887833595276, "learning_rate": 8.90694963837735e-05, "loss": 0.29248756170272827, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.73, "memory/max_allocated (GiB)": 73.73, "ppl": 1.33976, "step": 234, "tokens/total": 57573312, "tokens/train_per_sec_per_gpu": 12.46, "tokens/trainable": 462527 }, { "epoch": 0.47959183673469385, "grad_norm": 0.2836940884590149, "learning_rate": 8.896620824976665e-05, "loss": 0.28166377544403076, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.4, "memory/max_allocated (GiB)": 72.4, "ppl": 1.32533, "step": 235, "tokens/total": 57816064, "tokens/train_per_sec_per_gpu": 13.04, "tokens/trainable": 464488 }, { "epoch": 0.4816326530612245, "grad_norm": 0.2632487118244171, "learning_rate": 8.886249488324599e-05, "loss": 0.2709941267967224, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.31127, "step": 236, "tokens/total": 58080256, "tokens/train_per_sec_per_gpu": 10.53, "tokens/trainable": 466331 }, { "epoch": 0.48367346938775513, "grad_norm": 0.22828401625156403, "learning_rate": 8.87583574160203e-05, "loss": 0.30610761046409607, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.02, "memory/max_allocated (GiB)": 76.02, "ppl": 1.35813, "step": 237, "tokens/total": 58346176, "tokens/train_per_sec_per_gpu": 13.59, "tokens/trainable": 468759 }, { "epoch": 0.4857142857142857, "grad_norm": 0.24178864061832428, "learning_rate": 8.865379698452649e-05, "loss": 0.2549661695957184, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.79, "memory/max_allocated (GiB)": 74.79, "ppl": 1.29042, "step": 238, "tokens/total": 58588672, "tokens/train_per_sec_per_gpu": 12.62, "tokens/trainable": 470776 }, { "epoch": 0.48775510204081635, "grad_norm": 0.4264017343521118, "learning_rate": 8.854881472981721e-05, "loss": 0.25378647446632385, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.66, "memory/max_allocated (GiB)": 74.66, "ppl": 1.2889, "step": 239, "tokens/total": 58832320, "tokens/train_per_sec_per_gpu": 12.72, "tokens/trainable": 472688 }, { "epoch": 0.4897959183673469, "grad_norm": 0.25247877836227417, "learning_rate": 8.844341179754839e-05, "loss": 0.27283287048339844, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.13, "memory/max_allocated (GiB)": 73.13, "ppl": 1.31368, "step": 240, "tokens/total": 59062400, "tokens/train_per_sec_per_gpu": 15.46, "tokens/trainable": 474748 }, { "epoch": 0.49183673469387756, "grad_norm": 0.2840617895126343, "learning_rate": 8.833758933796678e-05, "loss": 0.3166944682598114, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.92, "memory/max_allocated (GiB)": 73.92, "ppl": 1.37258, "step": 241, "tokens/total": 59304768, "tokens/train_per_sec_per_gpu": 11.44, "tokens/trainable": 476700 }, { "epoch": 0.49387755102040815, "grad_norm": 0.2712841033935547, "learning_rate": 8.823134850589733e-05, "loss": 0.2397720366716385, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.14, "memory/max_allocated (GiB)": 74.14, "ppl": 1.27096, "step": 242, "tokens/total": 59518720, "tokens/train_per_sec_per_gpu": 14.09, "tokens/trainable": 478590 }, { "epoch": 0.4959183673469388, "grad_norm": 0.2553960680961609, "learning_rate": 8.812469046073069e-05, "loss": 0.3182368278503418, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.04, "memory/max_allocated (GiB)": 72.04, "ppl": 1.3747, "step": 243, "tokens/total": 59745280, "tokens/train_per_sec_per_gpu": 14.05, "tokens/trainable": 480586 }, { "epoch": 0.49795918367346936, "grad_norm": 0.3267519176006317, "learning_rate": 8.801761636641042e-05, "loss": 0.30194833874702454, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.29, "memory/max_allocated (GiB)": 72.29, "ppl": 1.35249, "step": 244, "tokens/total": 59979520, "tokens/train_per_sec_per_gpu": 11.58, "tokens/trainable": 482413 }, { "epoch": 0.5, "grad_norm": 0.2530391216278076, "learning_rate": 8.791012739142044e-05, "loss": 0.2214522361755371, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.48, "memory/max_allocated (GiB)": 72.48, "ppl": 1.24789, "step": 245, "tokens/total": 60207040, "tokens/train_per_sec_per_gpu": 14.89, "tokens/trainable": 484421 }, { "epoch": 0.5020408163265306, "grad_norm": 0.2686348855495453, "learning_rate": 8.780222470877214e-05, "loss": 0.2083885818719864, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.05, "memory/max_allocated (GiB)": 73.05, "ppl": 1.23169, "step": 246, "tokens/total": 60420736, "tokens/train_per_sec_per_gpu": 9.81, "tokens/trainable": 486090 }, { "epoch": 0.5040816326530613, "grad_norm": 0.3877030313014984, "learning_rate": 8.769390949599165e-05, "loss": 0.2708570957183838, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.14, "memory/max_allocated (GiB)": 74.14, "ppl": 1.31109, "step": 247, "tokens/total": 60655424, "tokens/train_per_sec_per_gpu": 13.27, "tokens/trainable": 488011 }, { "epoch": 0.5061224489795918, "grad_norm": 0.2609875500202179, "learning_rate": 8.758518293510704e-05, "loss": 0.2860894501209259, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.22, "memory/max_allocated (GiB)": 74.22, "ppl": 1.33121, "step": 248, "tokens/total": 60923136, "tokens/train_per_sec_per_gpu": 12.54, "tokens/trainable": 490304 }, { "epoch": 0.5081632653061224, "grad_norm": 0.31066346168518066, "learning_rate": 8.74760462126353e-05, "loss": 0.26097726821899414, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.3, "memory/max_allocated (GiB)": 73.3, "ppl": 1.2982, "step": 249, "tokens/total": 61157312, "tokens/train_per_sec_per_gpu": 12.28, "tokens/trainable": 492072 }, { "epoch": 0.5102040816326531, "grad_norm": 0.25900799036026, "learning_rate": 8.736650051956944e-05, "loss": 0.27631238102912903, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.48, "memory/max_allocated (GiB)": 76.48, "ppl": 1.31826, "step": 250, "tokens/total": 61406464, "tokens/train_per_sec_per_gpu": 12.73, "tokens/trainable": 494145 }, { "epoch": 0.5122448979591837, "grad_norm": 0.29282519221305847, "learning_rate": 8.725654705136558e-05, "loss": 0.2838340699672699, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.52, "memory/max_allocated (GiB)": 74.52, "ppl": 1.32821, "step": 251, "tokens/total": 61671360, "tokens/train_per_sec_per_gpu": 10.15, "tokens/trainable": 496207 }, { "epoch": 0.5142857142857142, "grad_norm": 0.3111077845096588, "learning_rate": 8.714618700792975e-05, "loss": 0.2740340530872345, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 76.45, "memory/max_allocated (GiB)": 76.45, "ppl": 1.31526, "step": 252, "tokens/total": 61930368, "tokens/train_per_sec_per_gpu": 12.53, "tokens/trainable": 498397 }, { "epoch": 0.5163265306122449, "grad_norm": 0.32716354727745056, "learning_rate": 8.703542159360495e-05, "loss": 0.34461355209350586, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.41144, "step": 253, "tokens/total": 62178176, "tokens/train_per_sec_per_gpu": 11.8, "tokens/trainable": 500274 }, { "epoch": 0.5183673469387755, "grad_norm": 0.20006389915943146, "learning_rate": 8.692425201715787e-05, "loss": 0.21290145814418793, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 76.54, "memory/max_allocated (GiB)": 76.54, "ppl": 1.23726, "step": 254, "tokens/total": 62456000, "tokens/train_per_sec_per_gpu": 9.72, "tokens/trainable": 501999 }, { "epoch": 0.5204081632653061, "grad_norm": 0.23467357456684113, "learning_rate": 8.681267949176579e-05, "loss": 0.26032721996307373, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.67, "memory/max_allocated (GiB)": 75.67, "ppl": 1.29735, "step": 255, "tokens/total": 62711168, "tokens/train_per_sec_per_gpu": 10.91, "tokens/trainable": 503899 }, { "epoch": 0.5224489795918368, "grad_norm": 0.24094875156879425, "learning_rate": 8.670070523500331e-05, "loss": 0.2916109561920166, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 73.79, "memory/max_allocated (GiB)": 73.79, "ppl": 1.33858, "step": 256, "tokens/total": 62945856, "tokens/train_per_sec_per_gpu": 13.03, "tokens/trainable": 505937 }, { "epoch": 0.5244897959183673, "grad_norm": 0.23938961327075958, "learning_rate": 8.658833046882908e-05, "loss": 0.28174662590026855, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 74.03, "memory/max_allocated (GiB)": 74.03, "ppl": 1.32544, "step": 257, "tokens/total": 63178240, "tokens/train_per_sec_per_gpu": 12.91, "tokens/trainable": 507886 }, { "epoch": 0.5265306122448979, "grad_norm": 0.2992979884147644, "learning_rate": 8.647555641957243e-05, "loss": 0.3498281240463257, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 75.99, "memory/max_allocated (GiB)": 75.99, "ppl": 1.41882, "step": 258, "tokens/total": 63446144, "tokens/train_per_sec_per_gpu": 12.78, "tokens/trainable": 510118 }, { "epoch": 0.5285714285714286, "grad_norm": 0.2319977581501007, "learning_rate": 8.636238431792001e-05, "loss": 0.26939520239830017, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 71.74, "memory/max_allocated (GiB)": 71.74, "ppl": 1.30917, "step": 259, "tokens/total": 63660352, "tokens/train_per_sec_per_gpu": 14.66, "tokens/trainable": 511995 }, { "epoch": 0.5306122448979592, "grad_norm": 0.29739317297935486, "learning_rate": 8.624881539890235e-05, "loss": 0.26076313853263855, "memory/device_reserved (GiB)": 77.55, "memory/max_active (GiB)": 72.56, "memory/max_allocated (GiB)": 72.56, "ppl": 1.29792, "step": 260, "tokens/total": 63898944, "tokens/train_per_sec_per_gpu": 13.62, "tokens/trainable": 513979 }, { "epoch": 0.5326530612244897, "grad_norm": 0.3570258319377899, "learning_rate": 8.613485090188042e-05, "loss": 0.335449755191803, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 76.7, "memory/max_allocated (GiB)": 76.7, "ppl": 1.39857, "step": 261, "tokens/total": 64172160, "tokens/train_per_sec_per_gpu": 11.16, "tokens/trainable": 515977 }, { "epoch": 0.5346938775510204, "grad_norm": 0.227840393781662, "learning_rate": 8.602049207053206e-05, "loss": 0.27546989917755127, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 73.9, "memory/max_allocated (GiB)": 73.9, "ppl": 1.31715, "step": 262, "tokens/total": 64437632, "tokens/train_per_sec_per_gpu": 11.8, "tokens/trainable": 518051 }, { "epoch": 0.536734693877551, "grad_norm": 0.2699694335460663, "learning_rate": 8.59057401528384e-05, "loss": 0.3363790512084961, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 76.37, "memory/max_allocated (GiB)": 76.37, "ppl": 1.39987, "step": 263, "tokens/total": 64686784, "tokens/train_per_sec_per_gpu": 10.55, "tokens/trainable": 520106 }, { "epoch": 0.5387755102040817, "grad_norm": 0.26675179600715637, "learning_rate": 8.57905964010703e-05, "loss": 0.23343563079833984, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 73.87, "memory/max_allocated (GiB)": 73.87, "ppl": 1.26293, "step": 264, "tokens/total": 64922304, "tokens/train_per_sec_per_gpu": 10.38, "tokens/trainable": 521907 }, { "epoch": 0.5408163265306123, "grad_norm": 0.26130393147468567, "learning_rate": 8.567506207177461e-05, "loss": 0.30665674805641174, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 74.66, "memory/max_allocated (GiB)": 74.66, "ppl": 1.35887, "step": 265, "tokens/total": 65173888, "tokens/train_per_sec_per_gpu": 12.68, "tokens/trainable": 523953 }, { "epoch": 0.5428571428571428, "grad_norm": 0.27383264899253845, "learning_rate": 8.555913842576053e-05, "loss": 0.29130589962005615, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.33817, "step": 266, "tokens/total": 65411456, "tokens/train_per_sec_per_gpu": 12.48, "tokens/trainable": 525828 }, { "epoch": 0.5448979591836735, "grad_norm": 0.33510392904281616, "learning_rate": 8.544282672808578e-05, "loss": 0.29016339778900146, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 73.76, "memory/max_allocated (GiB)": 73.76, "ppl": 1.33665, "step": 267, "tokens/total": 65632384, "tokens/train_per_sec_per_gpu": 14.4, "tokens/trainable": 527801 }, { "epoch": 0.5469387755102041, "grad_norm": 0.2640371322631836, "learning_rate": 8.53261282480429e-05, "loss": 0.28861451148986816, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.33458, "step": 268, "tokens/total": 65862912, "tokens/train_per_sec_per_gpu": 12.48, "tokens/trainable": 529816 }, { "epoch": 0.5489795918367347, "grad_norm": 0.26248452067375183, "learning_rate": 8.520904425914525e-05, "loss": 0.3020923137664795, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.35269, "step": 269, "tokens/total": 66114816, "tokens/train_per_sec_per_gpu": 11.84, "tokens/trainable": 531847 }, { "epoch": 0.5510204081632653, "grad_norm": 0.28532981872558594, "learning_rate": 8.50915760391132e-05, "loss": 0.24453142285346985, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 71.96, "memory/max_allocated (GiB)": 71.96, "ppl": 1.27702, "step": 270, "tokens/total": 66343168, "tokens/train_per_sec_per_gpu": 14.43, "tokens/trainable": 533872 }, { "epoch": 0.5530612244897959, "grad_norm": 0.31190329790115356, "learning_rate": 8.497372486986024e-05, "loss": 0.42315733432769775, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 72.18, "memory/max_allocated (GiB)": 72.18, "ppl": 1.52677, "step": 271, "tokens/total": 66600576, "tokens/train_per_sec_per_gpu": 13.46, "tokens/trainable": 536013 }, { "epoch": 0.5551020408163265, "grad_norm": 0.26890113949775696, "learning_rate": 8.485549203747886e-05, "loss": 0.28477826714515686, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.07, "memory/max_allocated (GiB)": 75.07, "ppl": 1.32947, "step": 272, "tokens/total": 66844288, "tokens/train_per_sec_per_gpu": 12.87, "tokens/trainable": 538038 }, { "epoch": 0.5571428571428572, "grad_norm": 0.25644317269325256, "learning_rate": 8.473687883222665e-05, "loss": 0.2856728434562683, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.33066, "step": 273, "tokens/total": 67100736, "tokens/train_per_sec_per_gpu": 12.41, "tokens/trainable": 540087 }, { "epoch": 0.5591836734693878, "grad_norm": 0.22711892426013947, "learning_rate": 8.461788654851209e-05, "loss": 0.24410194158554077, "memory/device_reserved (GiB)": 77.71, "memory/max_active (GiB)": 76.67, "memory/max_allocated (GiB)": 76.67, "ppl": 1.27647, "step": 274, "tokens/total": 67362816, "tokens/train_per_sec_per_gpu": 11.58, "tokens/trainable": 542133 }, { "epoch": 0.5612244897959183, "grad_norm": 0.2506448030471802, "learning_rate": 8.44985164848805e-05, "loss": 0.25618839263916016, "memory/device_reserved (GiB)": 77.71, "memory/max_active (GiB)": 75.72, "memory/max_allocated (GiB)": 75.72, "ppl": 1.292, "step": 275, "tokens/total": 67593216, "tokens/train_per_sec_per_gpu": 17.96, "tokens/trainable": 544661 }, { "epoch": 0.563265306122449, "grad_norm": 0.24065186083316803, "learning_rate": 8.437876994399991e-05, "loss": 0.2728542685508728, "memory/device_reserved (GiB)": 77.71, "memory/max_active (GiB)": 75.8, "memory/max_allocated (GiB)": 75.8, "ppl": 1.31371, "step": 276, "tokens/total": 67841792, "tokens/train_per_sec_per_gpu": 9.02, "tokens/trainable": 546596 }, { "epoch": 0.5653061224489796, "grad_norm": 0.24970397353172302, "learning_rate": 8.425864823264672e-05, "loss": 0.24952834844589233, "memory/device_reserved (GiB)": 76.63, "memory/max_active (GiB)": 75.66, "memory/max_allocated (GiB)": 75.66, "ppl": 1.28342, "step": 277, "tokens/total": 68092864, "tokens/train_per_sec_per_gpu": 11.34, "tokens/trainable": 548572 }, { "epoch": 0.5673469387755102, "grad_norm": 0.25488054752349854, "learning_rate": 8.413815266169158e-05, "loss": 0.2789323925971985, "memory/device_reserved (GiB)": 76.63, "memory/max_active (GiB)": 72.72, "memory/max_allocated (GiB)": 72.72, "ppl": 1.32172, "step": 278, "tokens/total": 68328448, "tokens/train_per_sec_per_gpu": 12.76, "tokens/trainable": 550530 }, { "epoch": 0.5693877551020409, "grad_norm": 0.25996133685112, "learning_rate": 8.401728454608494e-05, "loss": 0.26806801557540894, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.73, "memory/max_allocated (GiB)": 76.73, "ppl": 1.30744, "step": 279, "tokens/total": 68577856, "tokens/train_per_sec_per_gpu": 10.53, "tokens/trainable": 552339 }, { "epoch": 0.5714285714285714, "grad_norm": 0.2861132323741913, "learning_rate": 8.389604520484282e-05, "loss": 0.2793717086315155, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.15, "memory/max_allocated (GiB)": 72.15, "ppl": 1.3223, "step": 280, "tokens/total": 68819072, "tokens/train_per_sec_per_gpu": 14.12, "tokens/trainable": 554395 }, { "epoch": 0.573469387755102, "grad_norm": 0.27016931772232056, "learning_rate": 8.377443596103239e-05, "loss": 0.3062211871147156, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.84, "memory/max_allocated (GiB)": 76.84, "ppl": 1.35828, "step": 281, "tokens/total": 69092800, "tokens/train_per_sec_per_gpu": 11.69, "tokens/trainable": 556475 }, { "epoch": 0.5755102040816327, "grad_norm": 0.3452536463737488, "learning_rate": 8.365245814175743e-05, "loss": 0.34729278087615967, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 75.64, "memory/max_allocated (GiB)": 75.64, "ppl": 1.41523, "step": 282, "tokens/total": 69357184, "tokens/train_per_sec_per_gpu": 12.02, "tokens/trainable": 558522 }, { "epoch": 0.5775510204081633, "grad_norm": 0.4534103274345398, "learning_rate": 8.353011307814405e-05, "loss": 0.2164735496044159, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.07, "memory/max_allocated (GiB)": 72.07, "ppl": 1.24169, "step": 283, "tokens/total": 69610112, "tokens/train_per_sec_per_gpu": 12.31, "tokens/trainable": 560719 }, { "epoch": 0.5795918367346938, "grad_norm": 0.2472052276134491, "learning_rate": 8.340740210532595e-05, "loss": 0.3178255259990692, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.9, "memory/max_allocated (GiB)": 73.9, "ppl": 1.37414, "step": 284, "tokens/total": 69852864, "tokens/train_per_sec_per_gpu": 15.36, "tokens/trainable": 562953 }, { "epoch": 0.5816326530612245, "grad_norm": 0.23412083089351654, "learning_rate": 8.328432656242997e-05, "loss": 0.27370530366897583, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.88, "memory/max_allocated (GiB)": 74.88, "ppl": 1.31483, "step": 285, "tokens/total": 70100224, "tokens/train_per_sec_per_gpu": 13.31, "tokens/trainable": 565039 }, { "epoch": 0.5836734693877551, "grad_norm": 0.28101804852485657, "learning_rate": 8.316088779256145e-05, "loss": 0.32362085580825806, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.38212, "step": 286, "tokens/total": 70355264, "tokens/train_per_sec_per_gpu": 11.76, "tokens/trainable": 567145 }, { "epoch": 0.5857142857142857, "grad_norm": 0.24828389286994934, "learning_rate": 8.303708714278959e-05, "loss": 0.2671997845172882, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.62, "memory/max_allocated (GiB)": 72.62, "ppl": 1.3063, "step": 287, "tokens/total": 70590976, "tokens/train_per_sec_per_gpu": 13.82, "tokens/trainable": 569069 }, { "epoch": 0.5877551020408164, "grad_norm": 0.2571806311607361, "learning_rate": 8.291292596413272e-05, "loss": 0.34625381231307983, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.32, "memory/max_allocated (GiB)": 73.32, "ppl": 1.41376, "step": 288, "tokens/total": 70839104, "tokens/train_per_sec_per_gpu": 12.37, "tokens/trainable": 571057 }, { "epoch": 0.5897959183673469, "grad_norm": 0.27506640553474426, "learning_rate": 8.278840561154355e-05, "loss": 0.32102882862091064, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.38, "memory/max_allocated (GiB)": 73.38, "ppl": 1.37855, "step": 289, "tokens/total": 71089472, "tokens/train_per_sec_per_gpu": 12.42, "tokens/trainable": 573199 }, { "epoch": 0.5918367346938775, "grad_norm": 0.22203350067138672, "learning_rate": 8.26635274438944e-05, "loss": 0.22201672196388245, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 75.07, "memory/max_allocated (GiB)": 75.07, "ppl": 1.24859, "step": 290, "tokens/total": 71380544, "tokens/train_per_sec_per_gpu": 10.78, "tokens/trainable": 575217 }, { "epoch": 0.5938775510204082, "grad_norm": 0.24041269719600677, "learning_rate": 8.253829282396245e-05, "loss": 0.310225248336792, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 72.94, "memory/max_allocated (GiB)": 72.94, "ppl": 1.36373, "step": 291, "tokens/total": 71612352, "tokens/train_per_sec_per_gpu": 14.92, "tokens/trainable": 577380 }, { "epoch": 0.5959183673469388, "grad_norm": 0.25376105308532715, "learning_rate": 8.24127031184147e-05, "loss": 0.28667837381362915, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 73.08, "memory/max_allocated (GiB)": 73.08, "ppl": 1.332, "step": 292, "tokens/total": 71846912, "tokens/train_per_sec_per_gpu": 13.43, "tokens/trainable": 579320 }, { "epoch": 0.5979591836734693, "grad_norm": 0.2470804899930954, "learning_rate": 8.228675969779318e-05, "loss": 0.2973708510398865, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 75.39, "memory/max_allocated (GiB)": 75.39, "ppl": 1.34631, "step": 293, "tokens/total": 72104512, "tokens/train_per_sec_per_gpu": 10.7, "tokens/trainable": 581313 }, { "epoch": 0.6, "grad_norm": 0.29593175649642944, "learning_rate": 8.216046393649996e-05, "loss": 0.34688469767570496, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.12, "memory/max_allocated (GiB)": 74.12, "ppl": 1.41465, "step": 294, "tokens/total": 72334464, "tokens/train_per_sec_per_gpu": 11.91, "tokens/trainable": 583198 }, { "epoch": 0.6020408163265306, "grad_norm": 0.24209007620811462, "learning_rate": 8.203381721278216e-05, "loss": 0.255124032497406, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.74, "memory/max_allocated (GiB)": 74.74, "ppl": 1.29062, "step": 295, "tokens/total": 72570240, "tokens/train_per_sec_per_gpu": 11.22, "tokens/trainable": 585096 }, { "epoch": 0.6040816326530613, "grad_norm": 0.251467764377594, "learning_rate": 8.190682090871691e-05, "loss": 0.24599887430667877, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.73, "memory/max_allocated (GiB)": 76.73, "ppl": 1.2789, "step": 296, "tokens/total": 72804864, "tokens/train_per_sec_per_gpu": 12.38, "tokens/trainable": 587097 }, { "epoch": 0.6061224489795919, "grad_norm": 0.23787440359592438, "learning_rate": 8.177947641019621e-05, "loss": 0.2537440061569214, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.11, "memory/max_allocated (GiB)": 74.11, "ppl": 1.28884, "step": 297, "tokens/total": 73031104, "tokens/train_per_sec_per_gpu": 13.25, "tokens/trainable": 589001 }, { "epoch": 0.6081632653061224, "grad_norm": 0.30218034982681274, "learning_rate": 8.16517851069119e-05, "loss": 0.3335407078266144, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.75, "memory/max_allocated (GiB)": 76.75, "ppl": 1.3959, "step": 298, "tokens/total": 73290304, "tokens/train_per_sec_per_gpu": 10.66, "tokens/trainable": 590853 }, { "epoch": 0.610204081632653, "grad_norm": 0.29110586643218994, "learning_rate": 8.152374839234048e-05, "loss": 0.2768510580062866, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 76.24, "memory/max_allocated (GiB)": 76.24, "ppl": 1.31897, "step": 299, "tokens/total": 73538624, "tokens/train_per_sec_per_gpu": 11.47, "tokens/trainable": 592628 }, { "epoch": 0.6122448979591837, "grad_norm": 0.2706233859062195, "learning_rate": 8.139536766372775e-05, "loss": 0.24794849753379822, "memory/device_reserved (GiB)": 77.63, "memory/max_active (GiB)": 74.25, "memory/max_allocated (GiB)": 74.25, "ppl": 1.28139, "step": 300, "tokens/total": 73763520, "tokens/train_per_sec_per_gpu": 11.47, "tokens/trainable": 594362 }, { "epoch": 0.6142857142857143, "grad_norm": 0.2760632634162903, "learning_rate": 8.126664432207385e-05, "loss": 0.344487726688385, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.83, "memory/max_allocated (GiB)": 76.83, "ppl": 1.41127, "step": 301, "tokens/total": 74021568, "tokens/train_per_sec_per_gpu": 9.99, "tokens/trainable": 596581 }, { "epoch": 0.6163265306122448, "grad_norm": 0.3173147141933441, "learning_rate": 8.113757977211768e-05, "loss": 0.32349497079849243, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.37, "memory/max_allocated (GiB)": 75.37, "ppl": 1.38195, "step": 302, "tokens/total": 74246528, "tokens/train_per_sec_per_gpu": 10.36, "tokens/trainable": 598390 }, { "epoch": 0.6183673469387755, "grad_norm": 0.3143511712551117, "learning_rate": 8.100817542232174e-05, "loss": 0.337619423866272, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.62, "memory/max_allocated (GiB)": 76.62, "ppl": 1.40161, "step": 303, "tokens/total": 74506048, "tokens/train_per_sec_per_gpu": 9.99, "tokens/trainable": 600327 }, { "epoch": 0.6204081632653061, "grad_norm": 0.3263002932071686, "learning_rate": 8.087843268485671e-05, "loss": 0.37967658042907715, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.45, "memory/max_allocated (GiB)": 72.45, "ppl": 1.46181, "step": 304, "tokens/total": 74714240, "tokens/train_per_sec_per_gpu": 16.04, "tokens/trainable": 602364 }, { "epoch": 0.6224489795918368, "grad_norm": 0.28157365322113037, "learning_rate": 8.074835297558608e-05, "loss": 0.2802862226963043, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.23, "memory/max_allocated (GiB)": 75.23, "ppl": 1.32351, "step": 305, "tokens/total": 74951936, "tokens/train_per_sec_per_gpu": 10.7, "tokens/trainable": 604134 }, { "epoch": 0.6244897959183674, "grad_norm": 0.3234773576259613, "learning_rate": 8.061793771405059e-05, "loss": 0.30056077241897583, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.26, "memory/max_allocated (GiB)": 76.26, "ppl": 1.35062, "step": 306, "tokens/total": 75190400, "tokens/train_per_sec_per_gpu": 12.44, "tokens/trainable": 606064 }, { "epoch": 0.6265306122448979, "grad_norm": 0.2672911584377289, "learning_rate": 8.048718832345288e-05, "loss": 0.3324597179889679, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.4, "memory/max_allocated (GiB)": 76.4, "ppl": 1.39439, "step": 307, "tokens/total": 75441728, "tokens/train_per_sec_per_gpu": 11.32, "tokens/trainable": 608000 }, { "epoch": 0.6285714285714286, "grad_norm": 0.23055435717105865, "learning_rate": 8.035610623064187e-05, "loss": 0.22188040614128113, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.6, "memory/max_allocated (GiB)": 73.6, "ppl": 1.24842, "step": 308, "tokens/total": 75671744, "tokens/train_per_sec_per_gpu": 12.54, "tokens/trainable": 609854 }, { "epoch": 0.6306122448979592, "grad_norm": 0.25100985169410706, "learning_rate": 8.02246928660972e-05, "loss": 0.25848251581192017, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.73, "memory/max_allocated (GiB)": 76.73, "ppl": 1.29496, "step": 309, "tokens/total": 75933632, "tokens/train_per_sec_per_gpu": 13.0, "tokens/trainable": 612055 }, { "epoch": 0.6326530612244898, "grad_norm": 0.28883853554725647, "learning_rate": 8.009294966391363e-05, "loss": 0.3101077079772949, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.06, "memory/max_allocated (GiB)": 74.06, "ppl": 1.36357, "step": 310, "tokens/total": 76196416, "tokens/train_per_sec_per_gpu": 11.23, "tokens/trainable": 614127 }, { "epoch": 0.6346938775510204, "grad_norm": 0.2648436427116394, "learning_rate": 7.99608780617854e-05, "loss": 0.32507240772247314, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.81, "memory/max_allocated (GiB)": 73.81, "ppl": 1.38413, "step": 311, "tokens/total": 76438400, "tokens/train_per_sec_per_gpu": 14.56, "tokens/trainable": 616331 }, { "epoch": 0.636734693877551, "grad_norm": 0.2828190326690674, "learning_rate": 7.982847950099054e-05, "loss": 0.29658567905426025, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 71.96, "memory/max_allocated (GiB)": 71.96, "ppl": 1.34526, "step": 312, "tokens/total": 76672064, "tokens/train_per_sec_per_gpu": 14.47, "tokens/trainable": 618435 }, { "epoch": 0.6387755102040816, "grad_norm": 0.2325240820646286, "learning_rate": 7.969575542637513e-05, "loss": 0.27081894874572754, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.26, "memory/max_allocated (GiB)": 75.26, "ppl": 1.31104, "step": 313, "tokens/total": 76922752, "tokens/train_per_sec_per_gpu": 13.21, "tokens/trainable": 620498 }, { "epoch": 0.6408163265306123, "grad_norm": 0.9377326369285583, "learning_rate": 7.956270728633748e-05, "loss": 0.2555592656135559, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.07, "memory/max_allocated (GiB)": 72.07, "ppl": 1.29118, "step": 314, "tokens/total": 77174912, "tokens/train_per_sec_per_gpu": 12.63, "tokens/trainable": 622434 }, { "epoch": 0.6428571428571429, "grad_norm": 0.2372015416622162, "learning_rate": 7.942933653281244e-05, "loss": 0.23461508750915527, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.75, "memory/max_allocated (GiB)": 72.75, "ppl": 1.26442, "step": 315, "tokens/total": 77409152, "tokens/train_per_sec_per_gpu": 11.88, "tokens/trainable": 624143 }, { "epoch": 0.6448979591836734, "grad_norm": 0.27768975496292114, "learning_rate": 7.929564462125551e-05, "loss": 0.36427009105682373, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.68, "memory/max_allocated (GiB)": 73.68, "ppl": 1.43946, "step": 316, "tokens/total": 77644992, "tokens/train_per_sec_per_gpu": 12.13, "tokens/trainable": 626058 }, { "epoch": 0.6469387755102041, "grad_norm": 0.25564926862716675, "learning_rate": 7.916163301062686e-05, "loss": 0.3089619576931, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.24, "memory/max_allocated (GiB)": 76.24, "ppl": 1.36201, "step": 317, "tokens/total": 77922304, "tokens/train_per_sec_per_gpu": 13.11, "tokens/trainable": 628212 }, { "epoch": 0.6489795918367347, "grad_norm": 0.2081686109304428, "learning_rate": 7.902730316337556e-05, "loss": 0.2701936960220337, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 74.25, "memory/max_allocated (GiB)": 74.25, "ppl": 1.31022, "step": 318, "tokens/total": 78199680, "tokens/train_per_sec_per_gpu": 13.17, "tokens/trainable": 630423 }, { "epoch": 0.6510204081632653, "grad_norm": 0.2430022954940796, "learning_rate": 7.889265654542353e-05, "loss": 0.23716434836387634, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.48, "memory/max_allocated (GiB)": 76.48, "ppl": 1.26765, "step": 319, "tokens/total": 78428992, "tokens/train_per_sec_per_gpu": 14.25, "tokens/trainable": 632427 }, { "epoch": 0.6530612244897959, "grad_norm": 0.22756606340408325, "learning_rate": 7.875769462614955e-05, "loss": 0.23425257205963135, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 75.26, "memory/max_allocated (GiB)": 75.26, "ppl": 1.26396, "step": 320, "tokens/total": 78681920, "tokens/train_per_sec_per_gpu": 12.84, "tokens/trainable": 634523 }, { "epoch": 0.6551020408163265, "grad_norm": 0.23997710645198822, "learning_rate": 7.862241887837322e-05, "loss": 0.22164437174797058, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.0, "memory/max_allocated (GiB)": 73.0, "ppl": 1.24813, "step": 321, "tokens/total": 78936576, "tokens/train_per_sec_per_gpu": 11.23, "tokens/trainable": 636593 }, { "epoch": 0.6571428571428571, "grad_norm": 0.34027695655822754, "learning_rate": 7.848683077833897e-05, "loss": 0.2563852071762085, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.86, "memory/max_allocated (GiB)": 76.86, "ppl": 1.29225, "step": 322, "tokens/total": 79219264, "tokens/train_per_sec_per_gpu": 11.88, "tokens/trainable": 638612 }, { "epoch": 0.6591836734693878, "grad_norm": 0.23914527893066406, "learning_rate": 7.835093180569981e-05, "loss": 0.2441192865371704, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.75, "memory/max_allocated (GiB)": 72.75, "ppl": 1.2765, "step": 323, "tokens/total": 79445632, "tokens/train_per_sec_per_gpu": 11.93, "tokens/trainable": 640327 }, { "epoch": 0.6612244897959184, "grad_norm": 0.32155025005340576, "learning_rate": 7.821472344350132e-05, "loss": 0.2721825838088989, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 73.49, "memory/max_allocated (GiB)": 73.49, "ppl": 1.31283, "step": 324, "tokens/total": 79679616, "tokens/train_per_sec_per_gpu": 10.95, "tokens/trainable": 642043 }, { "epoch": 0.6632653061224489, "grad_norm": 0.26682719588279724, "learning_rate": 7.807820717816534e-05, "loss": 0.31224024295806885, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 76.1, "memory/max_allocated (GiB)": 76.1, "ppl": 1.36648, "step": 325, "tokens/total": 79929792, "tokens/train_per_sec_per_gpu": 12.86, "tokens/trainable": 644073 }, { "epoch": 0.6653061224489796, "grad_norm": 0.2771010994911194, "learning_rate": 7.794138449947388e-05, "loss": 0.3241228759288788, "memory/device_reserved (GiB)": 77.69, "memory/max_active (GiB)": 72.1, "memory/max_allocated (GiB)": 72.1, "ppl": 1.38282, "step": 326, "tokens/total": 80175552, "tokens/train_per_sec_per_gpu": 10.08, "tokens/trainable": 646254 }, { "epoch": 0.6673469387755102, "grad_norm": 0.28892582654953003, "learning_rate": 7.780425690055274e-05, "loss": 0.29025834798812866, "memory/device_reserved (GiB)": 74.58, "memory/max_active (GiB)": 73.81, "memory/max_allocated (GiB)": 73.81, "ppl": 1.33677, "step": 327, "tokens/total": 80410432, "tokens/train_per_sec_per_gpu": 12.1, "tokens/trainable": 648069 }, { "epoch": 0.6693877551020408, "grad_norm": 0.21936146914958954, "learning_rate": 7.766682587785529e-05, "loss": 0.2003520280122757, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 76.54, "memory/max_allocated (GiB)": 76.54, "ppl": 1.22183, "step": 328, "tokens/total": 80694144, "tokens/train_per_sec_per_gpu": 11.37, "tokens/trainable": 650043 }, { "epoch": 0.6714285714285714, "grad_norm": 0.2513374388217926, "learning_rate": 7.75290929311461e-05, "loss": 0.3193785846233368, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 75.37, "memory/max_allocated (GiB)": 75.37, "ppl": 1.37627, "step": 329, "tokens/total": 80952192, "tokens/train_per_sec_per_gpu": 13.07, "tokens/trainable": 652165 }, { "epoch": 0.673469387755102, "grad_norm": 0.3239321708679199, "learning_rate": 7.739105956348464e-05, "loss": 0.2956297993659973, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.34397, "step": 330, "tokens/total": 81243200, "tokens/train_per_sec_per_gpu": 10.37, "tokens/trainable": 654102 }, { "epoch": 0.6755102040816326, "grad_norm": 0.2167237251996994, "learning_rate": 7.72527272812088e-05, "loss": 0.23567694425582886, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 73.99, "memory/max_allocated (GiB)": 73.99, "ppl": 1.26577, "step": 331, "tokens/total": 81468480, "tokens/train_per_sec_per_gpu": 11.89, "tokens/trainable": 655910 }, { "epoch": 0.6775510204081633, "grad_norm": 0.2764493227005005, "learning_rate": 7.711409759391845e-05, "loss": 0.27560240030288696, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.31732, "step": 332, "tokens/total": 81699968, "tokens/train_per_sec_per_gpu": 14.39, "tokens/trainable": 658045 }, { "epoch": 0.6795918367346939, "grad_norm": 0.23673021793365479, "learning_rate": 7.697517201445905e-05, "loss": 0.24529802799224854, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 72.67, "memory/max_allocated (GiB)": 72.67, "ppl": 1.278, "step": 333, "tokens/total": 81918400, "tokens/train_per_sec_per_gpu": 14.81, "tokens/trainable": 660055 }, { "epoch": 0.6816326530612244, "grad_norm": 0.2029729187488556, "learning_rate": 7.683595205890508e-05, "loss": 0.23150934278964996, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 73.16, "memory/max_allocated (GiB)": 73.16, "ppl": 1.2605, "step": 334, "tokens/total": 82173568, "tokens/train_per_sec_per_gpu": 10.39, "tokens/trainable": 661795 }, { "epoch": 0.6836734693877551, "grad_norm": 0.2765744626522064, "learning_rate": 7.669643924654346e-05, "loss": 0.31045764684677124, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 71.91, "memory/max_allocated (GiB)": 71.91, "ppl": 1.36405, "step": 335, "tokens/total": 82399936, "tokens/train_per_sec_per_gpu": 13.76, "tokens/trainable": 663787 }, { "epoch": 0.6857142857142857, "grad_norm": 0.2437237948179245, "learning_rate": 7.655663509985707e-05, "loss": 0.2277202606201172, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 76.07, "memory/max_allocated (GiB)": 76.07, "ppl": 1.25573, "step": 336, "tokens/total": 82645312, "tokens/train_per_sec_per_gpu": 10.32, "tokens/trainable": 665543 }, { "epoch": 0.6877551020408164, "grad_norm": 0.27684658765792847, "learning_rate": 7.641654114450802e-05, "loss": 0.3041114807128906, "memory/device_reserved (GiB)": 77.26, "memory/max_active (GiB)": 76.45, "memory/max_allocated (GiB)": 76.45, "ppl": 1.35542, "step": 337, "tokens/total": 82916736, "tokens/train_per_sec_per_gpu": 11.5, "tokens/trainable": 667685 }, { "epoch": 0.689795918367347, "grad_norm": 0.24407772719860077, "learning_rate": 7.627615890932111e-05, "loss": 0.33357661962509155, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.59, "memory/max_allocated (GiB)": 76.59, "ppl": 1.39595, "step": 338, "tokens/total": 83175104, "tokens/train_per_sec_per_gpu": 12.66, "tokens/trainable": 669843 }, { "epoch": 0.6918367346938775, "grad_norm": 0.20234188437461853, "learning_rate": 7.61354899262671e-05, "loss": 0.17819929122924805, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.07, "memory/max_allocated (GiB)": 76.07, "ppl": 1.19506, "step": 339, "tokens/total": 83405824, "tokens/train_per_sec_per_gpu": 11.3, "tokens/trainable": 671647 }, { "epoch": 0.6938775510204082, "grad_norm": 0.21054276823997498, "learning_rate": 7.599453573044593e-05, "loss": 0.1758253425359726, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.19223, "step": 340, "tokens/total": 83651008, "tokens/train_per_sec_per_gpu": 10.96, "tokens/trainable": 673387 }, { "epoch": 0.6959183673469388, "grad_norm": 0.2889537215232849, "learning_rate": 7.585329786007006e-05, "loss": 0.22698107361793518, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 73.46, "memory/max_allocated (GiB)": 73.46, "ppl": 1.25481, "step": 341, "tokens/total": 83890624, "tokens/train_per_sec_per_gpu": 10.8, "tokens/trainable": 675240 }, { "epoch": 0.6979591836734694, "grad_norm": 0.2577192485332489, "learning_rate": 7.571177785644766e-05, "loss": 0.2953447997570038, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.75, "memory/max_allocated (GiB)": 76.75, "ppl": 1.34359, "step": 342, "tokens/total": 84128384, "tokens/train_per_sec_per_gpu": 10.72, "tokens/trainable": 676963 }, { "epoch": 0.7, "grad_norm": 0.2311595231294632, "learning_rate": 7.556997726396578e-05, "loss": 0.20930227637290955, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.32, "memory/max_allocated (GiB)": 76.32, "ppl": 1.23282, "step": 343, "tokens/total": 84374400, "tokens/train_per_sec_per_gpu": 14.01, "tokens/trainable": 679155 }, { "epoch": 0.7020408163265306, "grad_norm": 0.22326231002807617, "learning_rate": 7.542789763007346e-05, "loss": 0.27322065830230713, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.15, "memory/max_allocated (GiB)": 76.15, "ppl": 1.31419, "step": 344, "tokens/total": 84625152, "tokens/train_per_sec_per_gpu": 14.36, "tokens/trainable": 681208 }, { "epoch": 0.7040816326530612, "grad_norm": 0.22791293263435364, "learning_rate": 7.528554050526489e-05, "loss": 0.234121635556221, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 73.9, "memory/max_allocated (GiB)": 73.9, "ppl": 1.2638, "step": 345, "tokens/total": 84869248, "tokens/train_per_sec_per_gpu": 13.52, "tokens/trainable": 683237 }, { "epoch": 0.7061224489795919, "grad_norm": 0.28647738695144653, "learning_rate": 7.514290744306251e-05, "loss": 0.36105626821517944, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 74.28, "memory/max_allocated (GiB)": 74.28, "ppl": 1.43484, "step": 346, "tokens/total": 85130112, "tokens/train_per_sec_per_gpu": 12.65, "tokens/trainable": 685215 }, { "epoch": 0.7081632653061225, "grad_norm": 0.2750461995601654, "learning_rate": 7.500000000000001e-05, "loss": 0.2888035476207733, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.02, "memory/max_allocated (GiB)": 76.02, "ppl": 1.33483, "step": 347, "tokens/total": 85351552, "tokens/train_per_sec_per_gpu": 12.84, "tokens/trainable": 687017 }, { "epoch": 0.710204081632653, "grad_norm": 0.3078104555606842, "learning_rate": 7.485681973560533e-05, "loss": 0.2835176885128021, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.54, "memory/max_allocated (GiB)": 76.54, "ppl": 1.32779, "step": 348, "tokens/total": 85602176, "tokens/train_per_sec_per_gpu": 13.78, "tokens/trainable": 689235 }, { "epoch": 0.7122448979591837, "grad_norm": 0.270408570766449, "learning_rate": 7.471336821238367e-05, "loss": 0.2432028353214264, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 74.03, "memory/max_allocated (GiB)": 74.03, "ppl": 1.27533, "step": 349, "tokens/total": 85864256, "tokens/train_per_sec_per_gpu": 10.9, "tokens/trainable": 691142 }, { "epoch": 0.7142857142857143, "grad_norm": 0.2373763918876648, "learning_rate": 7.45696469958005e-05, "loss": 0.27240806818008423, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 74.98, "memory/max_allocated (GiB)": 74.98, "ppl": 1.31312, "step": 350, "tokens/total": 86087552, "tokens/train_per_sec_per_gpu": 13.51, "tokens/trainable": 693021 }, { "epoch": 0.7163265306122449, "grad_norm": 0.23152503371238708, "learning_rate": 7.442565765426436e-05, "loss": 0.3414421081542969, "memory/device_reserved (GiB)": 77.65, "memory/max_active (GiB)": 76.16, "memory/max_allocated (GiB)": 76.16, "ppl": 1.40698, "step": 351, "tokens/total": 86346048, "tokens/train_per_sec_per_gpu": 11.25, "tokens/trainable": 695349 }, { "epoch": 0.7183673469387755, "grad_norm": 0.2574107348918915, "learning_rate": 7.428140175910977e-05, "loss": 0.3076707720756531, "memory/device_reserved (GiB)": 76.94, "memory/max_active (GiB)": 75.09, "memory/max_allocated (GiB)": 75.09, "ppl": 1.36025, "step": 352, "tokens/total": 86614336, "tokens/train_per_sec_per_gpu": 13.1, "tokens/trainable": 697531 }, { "epoch": 0.7204081632653061, "grad_norm": 0.22954194247722626, "learning_rate": 7.413688088458021e-05, "loss": 0.2560620903968811, "memory/device_reserved (GiB)": 76.95, "memory/max_active (GiB)": 74.66, "memory/max_allocated (GiB)": 74.66, "ppl": 1.29183, "step": 353, "tokens/total": 86862144, "tokens/train_per_sec_per_gpu": 11.35, "tokens/trainable": 699411 }, { "epoch": 0.7224489795918367, "grad_norm": 0.24674659967422485, "learning_rate": 7.399209660781075e-05, "loss": 0.2642272412776947, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 76.7, "memory/max_allocated (GiB)": 76.7, "ppl": 1.30242, "step": 354, "tokens/total": 87117248, "tokens/train_per_sec_per_gpu": 14.62, "tokens/trainable": 701912 }, { "epoch": 0.7244897959183674, "grad_norm": 0.329628586769104, "learning_rate": 7.384705050881096e-05, "loss": 0.27190959453582764, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 75.04, "memory/max_allocated (GiB)": 75.04, "ppl": 1.31247, "step": 355, "tokens/total": 87360320, "tokens/train_per_sec_per_gpu": 12.52, "tokens/trainable": 703850 }, { "epoch": 0.726530612244898, "grad_norm": 0.25129181146621704, "learning_rate": 7.370174417044763e-05, "loss": 0.2955136001110077, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 73.21, "memory/max_allocated (GiB)": 73.21, "ppl": 1.34382, "step": 356, "tokens/total": 87583680, "tokens/train_per_sec_per_gpu": 12.57, "tokens/trainable": 705651 }, { "epoch": 0.7285714285714285, "grad_norm": 0.360731840133667, "learning_rate": 7.35561791784275e-05, "loss": 0.3805921971797943, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 72.78, "memory/max_allocated (GiB)": 72.78, "ppl": 1.46315, "step": 357, "tokens/total": 87832832, "tokens/train_per_sec_per_gpu": 14.27, "tokens/trainable": 707880 }, { "epoch": 0.7306122448979592, "grad_norm": 0.22540250420570374, "learning_rate": 7.341035712128002e-05, "loss": 0.2772623300552368, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 73.35, "memory/max_allocated (GiB)": 73.35, "ppl": 1.31951, "step": 358, "tokens/total": 88082432, "tokens/train_per_sec_per_gpu": 13.11, "tokens/trainable": 709933 }, { "epoch": 0.7326530612244898, "grad_norm": 0.23541003465652466, "learning_rate": 7.326427959033988e-05, "loss": 0.29401713609695435, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 76.78, "memory/max_allocated (GiB)": 76.78, "ppl": 1.34181, "step": 359, "tokens/total": 88352000, "tokens/train_per_sec_per_gpu": 12.54, "tokens/trainable": 712011 }, { "epoch": 0.7346938775510204, "grad_norm": 0.24131914973258972, "learning_rate": 7.311794817972974e-05, "loss": 0.23980391025543213, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.77, "memory/max_allocated (GiB)": 75.77, "ppl": 1.271, "step": 360, "tokens/total": 88601984, "tokens/train_per_sec_per_gpu": 11.34, "tokens/trainable": 713965 }, { "epoch": 0.736734693877551, "grad_norm": 0.24607552587985992, "learning_rate": 7.297136448634282e-05, "loss": 0.24811792373657227, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.53, "memory/max_allocated (GiB)": 75.53, "ppl": 1.28161, "step": 361, "tokens/total": 88855104, "tokens/train_per_sec_per_gpu": 11.24, "tokens/trainable": 715899 }, { "epoch": 0.7387755102040816, "grad_norm": 0.23426595330238342, "learning_rate": 7.282453010982545e-05, "loss": 0.27236995100975037, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 74.49, "memory/max_allocated (GiB)": 74.49, "ppl": 1.31307, "step": 362, "tokens/total": 89091520, "tokens/train_per_sec_per_gpu": 11.78, "tokens/trainable": 717756 }, { "epoch": 0.7408163265306122, "grad_norm": 0.25521305203437805, "learning_rate": 7.267744665255966e-05, "loss": 0.32716047763824463, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 74.55, "memory/max_allocated (GiB)": 74.55, "ppl": 1.38702, "step": 363, "tokens/total": 89352128, "tokens/train_per_sec_per_gpu": 13.56, "tokens/trainable": 719848 }, { "epoch": 0.7428571428571429, "grad_norm": 0.33170413970947266, "learning_rate": 7.253011571964562e-05, "loss": 0.3414410948753357, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.37, "memory/max_allocated (GiB)": 75.37, "ppl": 1.40697, "step": 364, "tokens/total": 89605440, "tokens/train_per_sec_per_gpu": 10.37, "tokens/trainable": 721680 }, { "epoch": 0.7448979591836735, "grad_norm": 0.23171629011631012, "learning_rate": 7.238253891888418e-05, "loss": 0.2564217150211334, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.99, "memory/max_allocated (GiB)": 75.99, "ppl": 1.2923, "step": 365, "tokens/total": 89860416, "tokens/train_per_sec_per_gpu": 11.98, "tokens/trainable": 723603 }, { "epoch": 0.746938775510204, "grad_norm": 0.1833423674106598, "learning_rate": 7.223471786075933e-05, "loss": 0.19894462823867798, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.58, "memory/max_allocated (GiB)": 75.58, "ppl": 1.22011, "step": 366, "tokens/total": 90116416, "tokens/train_per_sec_per_gpu": 11.57, "tokens/trainable": 725611 }, { "epoch": 0.7489795918367347, "grad_norm": 0.25275909900665283, "learning_rate": 7.20866541584206e-05, "loss": 0.23714226484298706, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.86, "memory/max_allocated (GiB)": 75.86, "ppl": 1.26762, "step": 367, "tokens/total": 90371840, "tokens/train_per_sec_per_gpu": 12.89, "tokens/trainable": 727663 }, { "epoch": 0.7510204081632653, "grad_norm": 0.25915607810020447, "learning_rate": 7.193834942766543e-05, "loss": 0.2875545620918274, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 73.79, "memory/max_allocated (GiB)": 73.79, "ppl": 1.33316, "step": 368, "tokens/total": 90609344, "tokens/train_per_sec_per_gpu": 13.83, "tokens/trainable": 729759 }, { "epoch": 0.753061224489796, "grad_norm": 0.4674554765224457, "learning_rate": 7.17898052869216e-05, "loss": 0.2860286235809326, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.83, "memory/max_allocated (GiB)": 75.83, "ppl": 1.33113, "step": 369, "tokens/total": 90881984, "tokens/train_per_sec_per_gpu": 13.99, "tokens/trainable": 732003 }, { "epoch": 0.7551020408163265, "grad_norm": 0.34587299823760986, "learning_rate": 7.164102335722954e-05, "loss": 0.3153100907802582, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 72.86, "memory/max_allocated (GiB)": 72.86, "ppl": 1.37068, "step": 370, "tokens/total": 91105344, "tokens/train_per_sec_per_gpu": 16.73, "tokens/trainable": 733967 }, { "epoch": 0.7571428571428571, "grad_norm": 0.23913773894309998, "learning_rate": 7.149200526222459e-05, "loss": 0.3215009570121765, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 76.78, "memory/max_allocated (GiB)": 76.78, "ppl": 1.3792, "step": 371, "tokens/total": 91375040, "tokens/train_per_sec_per_gpu": 11.87, "tokens/trainable": 736037 }, { "epoch": 0.7591836734693878, "grad_norm": 0.23976799845695496, "learning_rate": 7.134275262811934e-05, "loss": 0.27008774876594543, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 73.41, "memory/max_allocated (GiB)": 73.41, "ppl": 1.31008, "step": 372, "tokens/total": 91616640, "tokens/train_per_sec_per_gpu": 12.23, "tokens/trainable": 737784 }, { "epoch": 0.7612244897959184, "grad_norm": 0.21629121899604797, "learning_rate": 7.119326708368595e-05, "loss": 0.2583259642124176, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 73.76, "memory/max_allocated (GiB)": 73.76, "ppl": 1.29476, "step": 373, "tokens/total": 91863488, "tokens/train_per_sec_per_gpu": 11.93, "tokens/trainable": 739736 }, { "epoch": 0.763265306122449, "grad_norm": 0.2703351378440857, "learning_rate": 7.104355026023819e-05, "loss": 0.32730811834335327, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.42, "memory/max_allocated (GiB)": 75.42, "ppl": 1.38723, "step": 374, "tokens/total": 92112128, "tokens/train_per_sec_per_gpu": 13.04, "tokens/trainable": 741745 }, { "epoch": 0.7653061224489796, "grad_norm": 0.25079062581062317, "learning_rate": 7.089360379161381e-05, "loss": 0.3121660351753235, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 75.94, "memory/max_allocated (GiB)": 75.94, "ppl": 1.36638, "step": 375, "tokens/total": 92368128, "tokens/train_per_sec_per_gpu": 12.99, "tokens/trainable": 744026 }, { "epoch": 0.7673469387755102, "grad_norm": 0.23077702522277832, "learning_rate": 7.074342931415661e-05, "loss": 0.30287420749664307, "memory/device_reserved (GiB)": 77.57, "memory/max_active (GiB)": 72.97, "memory/max_allocated (GiB)": 72.97, "ppl": 1.35374, "step": 376, "tokens/total": 92619264, "tokens/train_per_sec_per_gpu": 10.19, "tokens/trainable": 746081 }, { "epoch": 0.7693877551020408, "grad_norm": 0.22504407167434692, "learning_rate": 7.059302846669864e-05, "loss": 0.2365780472755432, "memory/device_reserved (GiB)": 73.9, "memory/max_active (GiB)": 72.92, "memory/max_allocated (GiB)": 72.92, "ppl": 1.26691, "step": 377, "tokens/total": 92870592, "tokens/train_per_sec_per_gpu": 15.79, "tokens/trainable": 748400 }, { "epoch": 0.7714285714285715, "grad_norm": 0.23904208838939667, "learning_rate": 7.044240289054227e-05, "loss": 0.255153089761734, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 75.88, "memory/max_allocated (GiB)": 75.88, "ppl": 1.29066, "step": 378, "tokens/total": 93114624, "tokens/train_per_sec_per_gpu": 13.6, "tokens/trainable": 750598 }, { "epoch": 0.773469387755102, "grad_norm": 0.2344440072774887, "learning_rate": 7.029155422944234e-05, "loss": 0.2139434516429901, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.06, "memory/max_allocated (GiB)": 74.06, "ppl": 1.23855, "step": 379, "tokens/total": 93329216, "tokens/train_per_sec_per_gpu": 11.69, "tokens/trainable": 752458 }, { "epoch": 0.7755102040816326, "grad_norm": 0.24536116421222687, "learning_rate": 7.014048412958812e-05, "loss": 0.32632678747177124, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 73.9, "memory/max_allocated (GiB)": 73.9, "ppl": 1.38587, "step": 380, "tokens/total": 93589504, "tokens/train_per_sec_per_gpu": 11.37, "tokens/trainable": 754662 }, { "epoch": 0.7775510204081633, "grad_norm": 0.2688855826854706, "learning_rate": 6.998919423958547e-05, "loss": 0.2734697461128235, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.31452, "step": 381, "tokens/total": 93851968, "tokens/train_per_sec_per_gpu": 11.87, "tokens/trainable": 756789 }, { "epoch": 0.7795918367346939, "grad_norm": 0.26867541670799255, "learning_rate": 6.983768621043876e-05, "loss": 0.26821669936180115, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.52, "memory/max_allocated (GiB)": 74.52, "ppl": 1.30763, "step": 382, "tokens/total": 94114048, "tokens/train_per_sec_per_gpu": 9.4, "tokens/trainable": 758492 }, { "epoch": 0.7816326530612245, "grad_norm": 0.23846036195755005, "learning_rate": 6.968596169553288e-05, "loss": 0.2921111583709717, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 72.89, "memory/max_allocated (GiB)": 72.89, "ppl": 1.33925, "step": 383, "tokens/total": 94382016, "tokens/train_per_sec_per_gpu": 12.59, "tokens/trainable": 760587 }, { "epoch": 0.7836734693877551, "grad_norm": 0.23699703812599182, "learning_rate": 6.953402235061519e-05, "loss": 0.2609871029853821, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.17, "memory/max_allocated (GiB)": 74.17, "ppl": 1.29821, "step": 384, "tokens/total": 94625792, "tokens/train_per_sec_per_gpu": 14.53, "tokens/trainable": 762765 }, { "epoch": 0.7857142857142857, "grad_norm": 0.20090660452842712, "learning_rate": 6.938186983377751e-05, "loss": 0.2041926383972168, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 75.07, "memory/max_allocated (GiB)": 75.07, "ppl": 1.22653, "step": 385, "tokens/total": 94897408, "tokens/train_per_sec_per_gpu": 10.61, "tokens/trainable": 764513 }, { "epoch": 0.7877551020408163, "grad_norm": 0.2212802767753601, "learning_rate": 6.922950580543788e-05, "loss": 0.25139063596725464, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 73.13, "memory/max_allocated (GiB)": 73.13, "ppl": 1.28581, "step": 386, "tokens/total": 95117952, "tokens/train_per_sec_per_gpu": 14.28, "tokens/trainable": 766648 }, { "epoch": 0.789795918367347, "grad_norm": 0.23277297616004944, "learning_rate": 6.907693192832263e-05, "loss": 0.19786489009857178, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.2, "memory/max_allocated (GiB)": 74.2, "ppl": 1.2188, "step": 387, "tokens/total": 95365248, "tokens/train_per_sec_per_gpu": 10.45, "tokens/trainable": 768352 }, { "epoch": 0.7918367346938775, "grad_norm": 0.33522191643714905, "learning_rate": 6.892414986744807e-05, "loss": 0.3165251612663269, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 75.2, "memory/max_allocated (GiB)": 75.2, "ppl": 1.37235, "step": 388, "tokens/total": 95611520, "tokens/train_per_sec_per_gpu": 15.0, "tokens/trainable": 770596 }, { "epoch": 0.7938775510204081, "grad_norm": 0.25158795714378357, "learning_rate": 6.877116129010243e-05, "loss": 0.2680057883262634, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 73.3, "memory/max_allocated (GiB)": 73.3, "ppl": 1.30735, "step": 389, "tokens/total": 95874944, "tokens/train_per_sec_per_gpu": 12.92, "tokens/trainable": 772629 }, { "epoch": 0.7959183673469388, "grad_norm": 0.2529192566871643, "learning_rate": 6.861796786582761e-05, "loss": 0.28054893016815186, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.2, "memory/max_allocated (GiB)": 74.2, "ppl": 1.32386, "step": 390, "tokens/total": 96126528, "tokens/train_per_sec_per_gpu": 12.81, "tokens/trainable": 774667 }, { "epoch": 0.7979591836734694, "grad_norm": 0.24691379070281982, "learning_rate": 6.846457126640096e-05, "loss": 0.29811322689056396, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.17, "memory/max_allocated (GiB)": 74.17, "ppl": 1.34731, "step": 391, "tokens/total": 96382912, "tokens/train_per_sec_per_gpu": 13.04, "tokens/trainable": 776828 }, { "epoch": 0.8, "grad_norm": 0.25443676114082336, "learning_rate": 6.831097316581707e-05, "loss": 0.2967149615287781, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 75.47, "memory/max_allocated (GiB)": 75.47, "ppl": 1.34543, "step": 392, "tokens/total": 96638336, "tokens/train_per_sec_per_gpu": 13.25, "tokens/trainable": 779052 }, { "epoch": 0.8020408163265306, "grad_norm": 0.22823578119277954, "learning_rate": 6.815717524026948e-05, "loss": 0.2128680795431137, "memory/device_reserved (GiB)": 76.83, "memory/max_active (GiB)": 74.88, "memory/max_allocated (GiB)": 74.88, "ppl": 1.23722, "step": 393, "tokens/total": 96879104, "tokens/train_per_sec_per_gpu": 12.58, "tokens/trainable": 780951 }, { "epoch": 0.8040816326530612, "grad_norm": 0.23700584471225739, "learning_rate": 6.80031791681324e-05, "loss": 0.25681912899017334, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 76.4, "memory/max_allocated (GiB)": 76.4, "ppl": 1.29281, "step": 394, "tokens/total": 97160256, "tokens/train_per_sec_per_gpu": 9.91, "tokens/trainable": 782833 }, { "epoch": 0.8061224489795918, "grad_norm": 0.3007517158985138, "learning_rate": 6.784898662994234e-05, "loss": 0.23515839874744415, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 75.39, "memory/max_allocated (GiB)": 75.39, "ppl": 1.26511, "step": 395, "tokens/total": 97384512, "tokens/train_per_sec_per_gpu": 11.88, "tokens/trainable": 784600 }, { "epoch": 0.8081632653061225, "grad_norm": 0.2689831554889679, "learning_rate": 6.769459930837989e-05, "loss": 0.24911612272262573, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 75.28, "memory/max_allocated (GiB)": 75.28, "ppl": 1.28289, "step": 396, "tokens/total": 97632064, "tokens/train_per_sec_per_gpu": 12.46, "tokens/trainable": 786600 }, { "epoch": 0.810204081632653, "grad_norm": 0.30507197976112366, "learning_rate": 6.75400188882512e-05, "loss": 0.33416375517845154, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 72.62, "memory/max_allocated (GiB)": 72.62, "ppl": 1.39677, "step": 397, "tokens/total": 97885824, "tokens/train_per_sec_per_gpu": 14.24, "tokens/trainable": 789091 }, { "epoch": 0.8122448979591836, "grad_norm": 0.25920626521110535, "learning_rate": 6.738524705646973e-05, "loss": 0.3228701949119568, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 75.91, "memory/max_allocated (GiB)": 75.91, "ppl": 1.38109, "step": 398, "tokens/total": 98126592, "tokens/train_per_sec_per_gpu": 12.64, "tokens/trainable": 791039 }, { "epoch": 0.8142857142857143, "grad_norm": 0.21600422263145447, "learning_rate": 6.723028550203779e-05, "loss": 0.2245880663394928, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 73.16, "memory/max_allocated (GiB)": 73.16, "ppl": 1.25181, "step": 399, "tokens/total": 98339136, "tokens/train_per_sec_per_gpu": 14.12, "tokens/trainable": 792943 }, { "epoch": 0.8163265306122449, "grad_norm": 0.21295800805091858, "learning_rate": 6.707513591602804e-05, "loss": 0.23633459210395813, "memory/device_reserved (GiB)": 77.31, "memory/max_active (GiB)": 75.34, "memory/max_allocated (GiB)": 75.34, "ppl": 1.2666, "step": 400, "tokens/total": 98615616, "tokens/train_per_sec_per_gpu": 9.75, "tokens/trainable": 794687 }, { "epoch": 0.8183673469387756, "grad_norm": 0.2668573558330536, "learning_rate": 6.691979999156521e-05, "loss": 0.3033875524997711, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 76.59, "memory/max_allocated (GiB)": 76.59, "ppl": 1.35444, "step": 401, "tokens/total": 98879424, "tokens/train_per_sec_per_gpu": 9.23, "tokens/trainable": 796784 }, { "epoch": 0.8204081632653061, "grad_norm": 0.2711150646209717, "learning_rate": 6.67642794238074e-05, "loss": 0.2761994004249573, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 73.0, "memory/max_allocated (GiB)": 73.0, "ppl": 1.31811, "step": 402, "tokens/total": 99115776, "tokens/train_per_sec_per_gpu": 12.37, "tokens/trainable": 798648 }, { "epoch": 0.8224489795918367, "grad_norm": 0.20724070072174072, "learning_rate": 6.66085759099278e-05, "loss": 0.21089161932468414, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 74.39, "memory/max_allocated (GiB)": 74.39, "ppl": 1.23478, "step": 403, "tokens/total": 99375104, "tokens/train_per_sec_per_gpu": 11.54, "tokens/trainable": 800651 }, { "epoch": 0.8244897959183674, "grad_norm": 0.277954638004303, "learning_rate": 6.6452691149096e-05, "loss": 0.2901919484138489, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 74.06, "memory/max_allocated (GiB)": 74.06, "ppl": 1.33668, "step": 404, "tokens/total": 99622784, "tokens/train_per_sec_per_gpu": 12.07, "tokens/trainable": 802578 }, { "epoch": 0.826530612244898, "grad_norm": 0.24895675480365753, "learning_rate": 6.629662684245948e-05, "loss": 0.2913890779018402, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 72.34, "memory/max_allocated (GiB)": 72.34, "ppl": 1.33829, "step": 405, "tokens/total": 99868480, "tokens/train_per_sec_per_gpu": 12.05, "tokens/trainable": 804481 }, { "epoch": 0.8285714285714286, "grad_norm": 0.23595218360424042, "learning_rate": 6.614038469312517e-05, "loss": 0.24025043845176697, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 74.0, "memory/max_allocated (GiB)": 74.0, "ppl": 1.27157, "step": 406, "tokens/total": 100088768, "tokens/train_per_sec_per_gpu": 14.89, "tokens/trainable": 806348 }, { "epoch": 0.8306122448979592, "grad_norm": 0.24337661266326904, "learning_rate": 6.598396640614072e-05, "loss": 0.2879195213317871, "memory/device_reserved (GiB)": 77.72, "memory/max_active (GiB)": 75.23, "memory/max_allocated (GiB)": 75.23, "ppl": 1.33365, "step": 407, "tokens/total": 100327296, "tokens/train_per_sec_per_gpu": 15.09, "tokens/trainable": 808502 }, { "epoch": 0.8326530612244898, "grad_norm": 0.2543904185295105, "learning_rate": 6.582737368847592e-05, "loss": 0.30715101957321167, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 76.67, "memory/max_allocated (GiB)": 76.67, "ppl": 1.35955, "step": 408, "tokens/total": 100589696, "tokens/train_per_sec_per_gpu": 12.37, "tokens/trainable": 810671 }, { "epoch": 0.8346938775510204, "grad_norm": 0.22101710736751556, "learning_rate": 6.567060824900414e-05, "loss": 0.2784162163734436, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 76.18, "memory/max_allocated (GiB)": 76.18, "ppl": 1.32104, "step": 409, "tokens/total": 100849600, "tokens/train_per_sec_per_gpu": 12.66, "tokens/trainable": 812785 }, { "epoch": 0.8367346938775511, "grad_norm": 0.2810465693473816, "learning_rate": 6.551367179848362e-05, "loss": 0.270579993724823, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 76.4, "memory/max_allocated (GiB)": 76.4, "ppl": 1.31072, "step": 410, "tokens/total": 101087360, "tokens/train_per_sec_per_gpu": 11.83, "tokens/trainable": 814717 }, { "epoch": 0.8387755102040816, "grad_norm": 0.21870507299900055, "learning_rate": 6.535656604953884e-05, "loss": 0.21983875334262848, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 73.65, "memory/max_allocated (GiB)": 73.65, "ppl": 1.24588, "step": 411, "tokens/total": 101313792, "tokens/train_per_sec_per_gpu": 13.29, "tokens/trainable": 816693 }, { "epoch": 0.8408163265306122, "grad_norm": 0.2483329474925995, "learning_rate": 6.519929271664175e-05, "loss": 0.28504157066345215, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 73.3, "memory/max_allocated (GiB)": 73.3, "ppl": 1.32982, "step": 412, "tokens/total": 101544064, "tokens/train_per_sec_per_gpu": 12.46, "tokens/trainable": 818684 }, { "epoch": 0.8428571428571429, "grad_norm": 0.2841825783252716, "learning_rate": 6.504185351609317e-05, "loss": 0.2541833817958832, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 76.45, "memory/max_allocated (GiB)": 76.45, "ppl": 1.28941, "step": 413, "tokens/total": 101759040, "tokens/train_per_sec_per_gpu": 14.52, "tokens/trainable": 820751 }, { "epoch": 0.8448979591836735, "grad_norm": 0.2572484612464905, "learning_rate": 6.488425016600403e-05, "loss": 0.21007731556892395, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 73.81, "memory/max_allocated (GiB)": 73.81, "ppl": 1.23377, "step": 414, "tokens/total": 101995840, "tokens/train_per_sec_per_gpu": 12.4, "tokens/trainable": 822616 }, { "epoch": 0.8469387755102041, "grad_norm": 0.24220719933509827, "learning_rate": 6.472648438627652e-05, "loss": 0.28219708800315857, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 74.88, "memory/max_allocated (GiB)": 74.88, "ppl": 1.32604, "step": 415, "tokens/total": 102253888, "tokens/train_per_sec_per_gpu": 15.21, "tokens/trainable": 825258 }, { "epoch": 0.8489795918367347, "grad_norm": 0.28009212017059326, "learning_rate": 6.456855789858548e-05, "loss": 0.3138611316680908, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 74.96, "memory/max_allocated (GiB)": 74.96, "ppl": 1.3687, "step": 416, "tokens/total": 102513728, "tokens/train_per_sec_per_gpu": 13.18, "tokens/trainable": 827403 }, { "epoch": 0.8510204081632653, "grad_norm": 0.2708995044231415, "learning_rate": 6.441047242635947e-05, "loss": 0.33378952741622925, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 74.25, "memory/max_allocated (GiB)": 74.25, "ppl": 1.39625, "step": 417, "tokens/total": 102750528, "tokens/train_per_sec_per_gpu": 14.69, "tokens/trainable": 829464 }, { "epoch": 0.8530612244897959, "grad_norm": 0.31186723709106445, "learning_rate": 6.42522296947621e-05, "loss": 0.31511160731315613, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 76.7, "memory/max_allocated (GiB)": 76.7, "ppl": 1.37041, "step": 418, "tokens/total": 102980736, "tokens/train_per_sec_per_gpu": 10.03, "tokens/trainable": 831148 }, { "epoch": 0.8551020408163266, "grad_norm": 0.2542271912097931, "learning_rate": 6.409383143067305e-05, "loss": 0.27176880836486816, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 75.58, "memory/max_allocated (GiB)": 75.58, "ppl": 1.31228, "step": 419, "tokens/total": 103202304, "tokens/train_per_sec_per_gpu": 12.37, "tokens/trainable": 832859 }, { "epoch": 0.8571428571428571, "grad_norm": 0.29588770866394043, "learning_rate": 6.393527936266933e-05, "loss": 0.24880217015743256, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 73.08, "memory/max_allocated (GiB)": 73.08, "ppl": 1.28249, "step": 420, "tokens/total": 103432896, "tokens/train_per_sec_per_gpu": 15.78, "tokens/trainable": 835125 }, { "epoch": 0.8591836734693877, "grad_norm": 0.2471047341823578, "learning_rate": 6.377657522100644e-05, "loss": 0.2640013098716736, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 72.67, "memory/max_allocated (GiB)": 72.67, "ppl": 1.30213, "step": 421, "tokens/total": 103687424, "tokens/train_per_sec_per_gpu": 12.8, "tokens/trainable": 837239 }, { "epoch": 0.8612244897959184, "grad_norm": 0.21796868741512299, "learning_rate": 6.361772073759935e-05, "loss": 0.247511088848114, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 74.17, "memory/max_allocated (GiB)": 74.17, "ppl": 1.28083, "step": 422, "tokens/total": 103933248, "tokens/train_per_sec_per_gpu": 13.07, "tokens/trainable": 839147 }, { "epoch": 0.863265306122449, "grad_norm": 0.23844701051712036, "learning_rate": 6.345871764600374e-05, "loss": 0.23742735385894775, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 74.68, "memory/max_allocated (GiB)": 74.68, "ppl": 1.26798, "step": 423, "tokens/total": 104186688, "tokens/train_per_sec_per_gpu": 11.85, "tokens/trainable": 841045 }, { "epoch": 0.8653061224489796, "grad_norm": 0.23335368931293488, "learning_rate": 6.329956768139704e-05, "loss": 0.2869156301021576, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 72.51, "memory/max_allocated (GiB)": 72.51, "ppl": 1.33231, "step": 424, "tokens/total": 104447872, "tokens/train_per_sec_per_gpu": 12.35, "tokens/trainable": 843215 }, { "epoch": 0.8673469387755102, "grad_norm": 0.2918064296245575, "learning_rate": 6.314027258055944e-05, "loss": 0.2789589762687683, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 72.21, "memory/max_allocated (GiB)": 72.21, "ppl": 1.32175, "step": 425, "tokens/total": 104664384, "tokens/train_per_sec_per_gpu": 11.08, "tokens/trainable": 845002 }, { "epoch": 0.8693877551020408, "grad_norm": 0.2757396399974823, "learning_rate": 6.298083408185503e-05, "loss": 0.3008022904396057, "memory/device_reserved (GiB)": 77.76, "memory/max_active (GiB)": 76.07, "memory/max_allocated (GiB)": 76.07, "ppl": 1.35094, "step": 426, "tokens/total": 104935104, "tokens/train_per_sec_per_gpu": 9.66, "tokens/trainable": 847171 }, { "epoch": 0.8714285714285714, "grad_norm": 0.28692859411239624, "learning_rate": 6.282125392521273e-05, "loss": 0.22909744083881378, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 76.67, "memory/max_allocated (GiB)": 76.67, "ppl": 1.25746, "step": 427, "tokens/total": 105177792, "tokens/train_per_sec_per_gpu": 10.97, "tokens/trainable": 849003 }, { "epoch": 0.8734693877551021, "grad_norm": 0.24682961404323578, "learning_rate": 6.266153385210739e-05, "loss": 0.24241462349891663, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 74.6, "memory/max_allocated (GiB)": 74.6, "ppl": 1.27432, "step": 428, "tokens/total": 105405248, "tokens/train_per_sec_per_gpu": 11.32, "tokens/trainable": 850792 }, { "epoch": 0.8755102040816326, "grad_norm": 0.3659954071044922, "learning_rate": 6.250167560554075e-05, "loss": 0.33554619550704956, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 72.45, "memory/max_allocated (GiB)": 72.45, "ppl": 1.3987, "step": 429, "tokens/total": 105636864, "tokens/train_per_sec_per_gpu": 10.26, "tokens/trainable": 852551 }, { "epoch": 0.8775510204081632, "grad_norm": 0.26704132556915283, "learning_rate": 6.234168093002237e-05, "loss": 0.31336140632629395, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 76.51, "memory/max_allocated (GiB)": 76.51, "ppl": 1.36802, "step": 430, "tokens/total": 105907776, "tokens/train_per_sec_per_gpu": 12.05, "tokens/trainable": 854721 }, { "epoch": 0.8795918367346939, "grad_norm": 0.2755028307437897, "learning_rate": 6.21815515715507e-05, "loss": 0.2989242672920227, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 74.96, "memory/max_allocated (GiB)": 74.96, "ppl": 1.34841, "step": 431, "tokens/total": 106149824, "tokens/train_per_sec_per_gpu": 12.76, "tokens/trainable": 856854 }, { "epoch": 0.8816326530612245, "grad_norm": 0.2054336965084076, "learning_rate": 6.202128927759391e-05, "loss": 0.24352321028709412, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 75.8, "memory/max_allocated (GiB)": 75.8, "ppl": 1.27574, "step": 432, "tokens/total": 106407488, "tokens/train_per_sec_per_gpu": 9.75, "tokens/trainable": 858527 }, { "epoch": 0.8836734693877552, "grad_norm": 0.24481087923049927, "learning_rate": 6.18608957970709e-05, "loss": 0.3159305453300476, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 71.94, "memory/max_allocated (GiB)": 71.94, "ppl": 1.37153, "step": 433, "tokens/total": 106646720, "tokens/train_per_sec_per_gpu": 12.72, "tokens/trainable": 860570 }, { "epoch": 0.8857142857142857, "grad_norm": 0.2475660741329193, "learning_rate": 6.170037288033222e-05, "loss": 0.28183165192604065, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 73.54, "memory/max_allocated (GiB)": 73.54, "ppl": 1.32556, "step": 434, "tokens/total": 106896960, "tokens/train_per_sec_per_gpu": 11.7, "tokens/trainable": 862447 }, { "epoch": 0.8877551020408163, "grad_norm": 0.26032233238220215, "learning_rate": 6.153972227914088e-05, "loss": 0.2791120409965515, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 73.79, "memory/max_allocated (GiB)": 73.79, "ppl": 1.32196, "step": 435, "tokens/total": 107168704, "tokens/train_per_sec_per_gpu": 11.48, "tokens/trainable": 864540 }, { "epoch": 0.889795918367347, "grad_norm": 0.26088958978652954, "learning_rate": 6.137894574665336e-05, "loss": 0.25506502389907837, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 72.91, "memory/max_allocated (GiB)": 72.91, "ppl": 1.29055, "step": 436, "tokens/total": 107392960, "tokens/train_per_sec_per_gpu": 13.84, "tokens/trainable": 866462 }, { "epoch": 0.8918367346938776, "grad_norm": 0.20378683507442474, "learning_rate": 6.121804503740035e-05, "loss": 0.20120058953762054, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 73.43, "memory/max_allocated (GiB)": 73.43, "ppl": 1.22287, "step": 437, "tokens/total": 107613312, "tokens/train_per_sec_per_gpu": 12.03, "tokens/trainable": 868200 }, { "epoch": 0.8938775510204081, "grad_norm": 1.791853427886963, "learning_rate": 6.105702190726765e-05, "loss": 0.297176718711853, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 74.66, "memory/max_allocated (GiB)": 74.66, "ppl": 1.34605, "step": 438, "tokens/total": 107881664, "tokens/train_per_sec_per_gpu": 11.4, "tokens/trainable": 870401 }, { "epoch": 0.8959183673469387, "grad_norm": 0.2114609181880951, "learning_rate": 6.08958781134771e-05, "loss": 0.217289537191391, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 76.4, "memory/max_allocated (GiB)": 76.4, "ppl": 1.2427, "step": 439, "tokens/total": 108135488, "tokens/train_per_sec_per_gpu": 11.16, "tokens/trainable": 872309 }, { "epoch": 0.8979591836734694, "grad_norm": 0.2895108461380005, "learning_rate": 6.073461541456725e-05, "loss": 0.2577347755432129, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 75.72, "memory/max_allocated (GiB)": 75.72, "ppl": 1.294, "step": 440, "tokens/total": 108375296, "tokens/train_per_sec_per_gpu": 11.21, "tokens/trainable": 874206 }, { "epoch": 0.9, "grad_norm": 0.23809455335140228, "learning_rate": 6.057323557037431e-05, "loss": 0.2702704071998596, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 71.88, "memory/max_allocated (GiB)": 71.88, "ppl": 1.31032, "step": 441, "tokens/total": 108621888, "tokens/train_per_sec_per_gpu": 11.1, "tokens/trainable": 876148 }, { "epoch": 0.9020408163265307, "grad_norm": 0.23602895438671112, "learning_rate": 6.04117403420128e-05, "loss": 0.32741737365722656, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 75.61, "memory/max_allocated (GiB)": 75.61, "ppl": 1.38738, "step": 442, "tokens/total": 108898944, "tokens/train_per_sec_per_gpu": 12.19, "tokens/trainable": 878248 }, { "epoch": 0.9040816326530612, "grad_norm": 0.2687036693096161, "learning_rate": 6.02501314918565e-05, "loss": 0.29402047395706177, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 73.41, "memory/max_allocated (GiB)": 73.41, "ppl": 1.34181, "step": 443, "tokens/total": 109123072, "tokens/train_per_sec_per_gpu": 13.93, "tokens/trainable": 880136 }, { "epoch": 0.9061224489795918, "grad_norm": 0.3213645815849304, "learning_rate": 6.0088410783519035e-05, "loss": 0.2375052273273468, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 72.97, "memory/max_allocated (GiB)": 72.97, "ppl": 1.26808, "step": 444, "tokens/total": 109347392, "tokens/train_per_sec_per_gpu": 9.85, "tokens/trainable": 881758 }, { "epoch": 0.9081632653061225, "grad_norm": 0.22513405978679657, "learning_rate": 5.99265799818348e-05, "loss": 0.19214271008968353, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 72.59, "memory/max_allocated (GiB)": 72.59, "ppl": 1.21184, "step": 445, "tokens/total": 109593152, "tokens/train_per_sec_per_gpu": 9.9, "tokens/trainable": 883475 }, { "epoch": 0.9102040816326531, "grad_norm": 0.2382912039756775, "learning_rate": 5.9764640852839585e-05, "loss": 0.28363141417503357, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 75.83, "memory/max_allocated (GiB)": 75.83, "ppl": 1.32794, "step": 446, "tokens/total": 109832896, "tokens/train_per_sec_per_gpu": 12.73, "tokens/trainable": 885442 }, { "epoch": 0.9122448979591836, "grad_norm": 0.23997141420841217, "learning_rate": 5.960259516375134e-05, "loss": 0.26503628492355347, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 72.37, "memory/max_allocated (GiB)": 72.37, "ppl": 1.30348, "step": 447, "tokens/total": 110051328, "tokens/train_per_sec_per_gpu": 15.14, "tokens/trainable": 887497 }, { "epoch": 0.9142857142857143, "grad_norm": 0.28751108050346375, "learning_rate": 5.944044468295089e-05, "loss": 0.31920450925827026, "memory/device_reserved (GiB)": 77.39, "memory/max_active (GiB)": 75.53, "memory/max_allocated (GiB)": 75.53, "ppl": 1.37603, "step": 448, "tokens/total": 110282944, "tokens/train_per_sec_per_gpu": 11.59, "tokens/trainable": 889326 }, { "epoch": 0.9163265306122449, "grad_norm": 0.21982364356517792, "learning_rate": 5.927819117996266e-05, "loss": 0.22485430538654327, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 76.51, "memory/max_allocated (GiB)": 76.51, "ppl": 1.25214, "step": 449, "tokens/total": 110584512, "tokens/train_per_sec_per_gpu": 9.88, "tokens/trainable": 891187 }, { "epoch": 0.9183673469387755, "grad_norm": 0.2274937629699707, "learning_rate": 5.9115836425435314e-05, "loss": 0.2748928666114807, "memory/device_reserved (GiB)": 77.43, "memory/max_active (GiB)": 75.69, "memory/max_allocated (GiB)": 75.69, "ppl": 1.31639, "step": 450, "tokens/total": 110839808, "tokens/train_per_sec_per_gpu": 12.03, "tokens/trainable": 893073 } ], "logging_steps": 1, "max_steps": 980, "num_input_tokens_seen": 0, "num_train_epochs": 2, "save_steps": 25, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 2.052540822807013e+19, "train_batch_size": 1, "trial_name": null, "trial_params": null }