diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,7406 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 2.0, + "eval_steps": 500, + "global_step": 1052, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.0019011406844106464, + "grad_norm": 3.6272729960894416, + "learning_rate": 1.886792452830189e-07, + "loss": 0.6953, + "step": 1 + }, + { + "epoch": 0.0038022813688212928, + "grad_norm": 3.2468947214808432, + "learning_rate": 3.773584905660378e-07, + "loss": 0.7108, + "step": 2 + }, + { + "epoch": 0.005703422053231939, + "grad_norm": 3.486445528309055, + "learning_rate": 5.660377358490567e-07, + "loss": 0.7032, + "step": 3 + }, + { + "epoch": 0.0076045627376425855, + "grad_norm": 3.0122196989099987, + "learning_rate": 7.547169811320755e-07, + "loss": 0.6852, + "step": 4 + }, + { + "epoch": 0.009505703422053232, + "grad_norm": 3.4205582033691924, + "learning_rate": 9.433962264150944e-07, + "loss": 0.7375, + "step": 5 + }, + { + "epoch": 0.011406844106463879, + "grad_norm": 3.006486996025197, + "learning_rate": 1.1320754716981133e-06, + "loss": 0.6784, + "step": 6 + }, + { + "epoch": 0.013307984790874524, + "grad_norm": 3.1315959019738853, + "learning_rate": 1.3207547169811322e-06, + "loss": 0.6847, + "step": 7 + }, + { + "epoch": 0.015209125475285171, + "grad_norm": 3.1088855374359716, + "learning_rate": 1.509433962264151e-06, + "loss": 0.7266, + "step": 8 + }, + { + "epoch": 0.017110266159695818, + "grad_norm": 2.641777348986974, + "learning_rate": 1.6981132075471698e-06, + "loss": 0.6968, + "step": 9 + }, + { + "epoch": 0.019011406844106463, + "grad_norm": 2.378691549997581, + "learning_rate": 1.8867924528301889e-06, + "loss": 0.6771, + "step": 10 + }, + { + "epoch": 0.02091254752851711, + "grad_norm": 1.8184950846143932, + "learning_rate": 2.075471698113208e-06, + "loss": 0.6635, + "step": 11 + }, + { + "epoch": 0.022813688212927757, + "grad_norm": 1.6179320724283004, + "learning_rate": 2.2641509433962266e-06, + "loss": 0.5912, + "step": 12 + }, + { + "epoch": 0.024714828897338403, + "grad_norm": 1.5781638900111103, + "learning_rate": 2.4528301886792453e-06, + "loss": 0.5932, + "step": 13 + }, + { + "epoch": 0.026615969581749048, + "grad_norm": 1.3880101183259435, + "learning_rate": 2.6415094339622644e-06, + "loss": 0.5926, + "step": 14 + }, + { + "epoch": 0.028517110266159697, + "grad_norm": 1.9026105993842082, + "learning_rate": 2.830188679245283e-06, + "loss": 0.6004, + "step": 15 + }, + { + "epoch": 0.030418250950570342, + "grad_norm": 2.219843038788561, + "learning_rate": 3.018867924528302e-06, + "loss": 0.5789, + "step": 16 + }, + { + "epoch": 0.03231939163498099, + "grad_norm": 2.2375054102375085, + "learning_rate": 3.207547169811321e-06, + "loss": 0.5751, + "step": 17 + }, + { + "epoch": 0.034220532319391636, + "grad_norm": 1.7476948346847236, + "learning_rate": 3.3962264150943395e-06, + "loss": 0.5749, + "step": 18 + }, + { + "epoch": 0.03612167300380228, + "grad_norm": 1.4624815634258725, + "learning_rate": 3.5849056603773586e-06, + "loss": 0.5455, + "step": 19 + }, + { + "epoch": 0.03802281368821293, + "grad_norm": 1.2973743959859565, + "learning_rate": 3.7735849056603777e-06, + "loss": 0.5639, + "step": 20 + }, + { + "epoch": 0.039923954372623575, + "grad_norm": 1.4289102123524366, + "learning_rate": 3.962264150943396e-06, + "loss": 0.543, + "step": 21 + }, + { + "epoch": 0.04182509505703422, + "grad_norm": 1.4043133089171078, + "learning_rate": 4.150943396226416e-06, + "loss": 0.584, + "step": 22 + }, + { + "epoch": 0.043726235741444866, + "grad_norm": 1.3778691083913985, + "learning_rate": 4.339622641509435e-06, + "loss": 0.5602, + "step": 23 + }, + { + "epoch": 0.045627376425855515, + "grad_norm": 1.1215774936807987, + "learning_rate": 4.528301886792453e-06, + "loss": 0.5432, + "step": 24 + }, + { + "epoch": 0.04752851711026616, + "grad_norm": 1.1029418346946827, + "learning_rate": 4.716981132075472e-06, + "loss": 0.5506, + "step": 25 + }, + { + "epoch": 0.049429657794676805, + "grad_norm": 1.012651977101632, + "learning_rate": 4.905660377358491e-06, + "loss": 0.5474, + "step": 26 + }, + { + "epoch": 0.051330798479087454, + "grad_norm": 1.0242097598078577, + "learning_rate": 5.09433962264151e-06, + "loss": 0.5348, + "step": 27 + }, + { + "epoch": 0.053231939163498096, + "grad_norm": 1.0560515495477218, + "learning_rate": 5.283018867924529e-06, + "loss": 0.5383, + "step": 28 + }, + { + "epoch": 0.055133079847908745, + "grad_norm": 0.9905358172203085, + "learning_rate": 5.4716981132075475e-06, + "loss": 0.528, + "step": 29 + }, + { + "epoch": 0.057034220532319393, + "grad_norm": 0.85672422158207, + "learning_rate": 5.660377358490566e-06, + "loss": 0.5094, + "step": 30 + }, + { + "epoch": 0.058935361216730035, + "grad_norm": 0.9239353784760164, + "learning_rate": 5.849056603773585e-06, + "loss": 0.5098, + "step": 31 + }, + { + "epoch": 0.060836501901140684, + "grad_norm": 0.8719701698834567, + "learning_rate": 6.037735849056604e-06, + "loss": 0.4943, + "step": 32 + }, + { + "epoch": 0.06273764258555133, + "grad_norm": 0.9045228037202876, + "learning_rate": 6.226415094339623e-06, + "loss": 0.5118, + "step": 33 + }, + { + "epoch": 0.06463878326996197, + "grad_norm": 0.961340523762788, + "learning_rate": 6.415094339622642e-06, + "loss": 0.5244, + "step": 34 + }, + { + "epoch": 0.06653992395437262, + "grad_norm": 0.9250528699050148, + "learning_rate": 6.60377358490566e-06, + "loss": 0.4979, + "step": 35 + }, + { + "epoch": 0.06844106463878327, + "grad_norm": 0.8112089041298184, + "learning_rate": 6.792452830188679e-06, + "loss": 0.487, + "step": 36 + }, + { + "epoch": 0.07034220532319392, + "grad_norm": 0.8175588297328692, + "learning_rate": 6.981132075471699e-06, + "loss": 0.4572, + "step": 37 + }, + { + "epoch": 0.07224334600760456, + "grad_norm": 0.9607557144392525, + "learning_rate": 7.169811320754717e-06, + "loss": 0.5254, + "step": 38 + }, + { + "epoch": 0.0741444866920152, + "grad_norm": 0.9717917789725954, + "learning_rate": 7.358490566037736e-06, + "loss": 0.4999, + "step": 39 + }, + { + "epoch": 0.07604562737642585, + "grad_norm": 0.8661871379846303, + "learning_rate": 7.5471698113207555e-06, + "loss": 0.4934, + "step": 40 + }, + { + "epoch": 0.0779467680608365, + "grad_norm": 0.9458603773931039, + "learning_rate": 7.735849056603775e-06, + "loss": 0.5053, + "step": 41 + }, + { + "epoch": 0.07984790874524715, + "grad_norm": 0.9128831658150581, + "learning_rate": 7.924528301886793e-06, + "loss": 0.477, + "step": 42 + }, + { + "epoch": 0.0817490494296578, + "grad_norm": 0.9859516293969818, + "learning_rate": 8.113207547169812e-06, + "loss": 0.4723, + "step": 43 + }, + { + "epoch": 0.08365019011406843, + "grad_norm": 0.9338198215791357, + "learning_rate": 8.301886792452832e-06, + "loss": 0.4753, + "step": 44 + }, + { + "epoch": 0.08555133079847908, + "grad_norm": 0.8642903487309621, + "learning_rate": 8.49056603773585e-06, + "loss": 0.4883, + "step": 45 + }, + { + "epoch": 0.08745247148288973, + "grad_norm": 0.8950472855881554, + "learning_rate": 8.67924528301887e-06, + "loss": 0.4837, + "step": 46 + }, + { + "epoch": 0.08935361216730038, + "grad_norm": 0.9263025521354988, + "learning_rate": 8.867924528301887e-06, + "loss": 0.4885, + "step": 47 + }, + { + "epoch": 0.09125475285171103, + "grad_norm": 0.8709492927995927, + "learning_rate": 9.056603773584907e-06, + "loss": 0.4729, + "step": 48 + }, + { + "epoch": 0.09315589353612168, + "grad_norm": 0.9495561491207107, + "learning_rate": 9.245283018867926e-06, + "loss": 0.4809, + "step": 49 + }, + { + "epoch": 0.09505703422053231, + "grad_norm": 0.9212430557085315, + "learning_rate": 9.433962264150944e-06, + "loss": 0.4949, + "step": 50 + }, + { + "epoch": 0.09695817490494296, + "grad_norm": 0.8697264217509816, + "learning_rate": 9.622641509433963e-06, + "loss": 0.4837, + "step": 51 + }, + { + "epoch": 0.09885931558935361, + "grad_norm": 0.9473649077013891, + "learning_rate": 9.811320754716981e-06, + "loss": 0.4894, + "step": 52 + }, + { + "epoch": 0.10076045627376426, + "grad_norm": 0.8727902750529724, + "learning_rate": 1e-05, + "loss": 0.4717, + "step": 53 + }, + { + "epoch": 0.10266159695817491, + "grad_norm": 0.9313428764692041, + "learning_rate": 1.018867924528302e-05, + "loss": 0.4919, + "step": 54 + }, + { + "epoch": 0.10456273764258556, + "grad_norm": 0.9704067365451778, + "learning_rate": 1.0377358490566038e-05, + "loss": 0.4926, + "step": 55 + }, + { + "epoch": 0.10646387832699619, + "grad_norm": 0.8061053116487912, + "learning_rate": 1.0566037735849058e-05, + "loss": 0.4657, + "step": 56 + }, + { + "epoch": 0.10836501901140684, + "grad_norm": 0.9380225481319396, + "learning_rate": 1.0754716981132076e-05, + "loss": 0.4554, + "step": 57 + }, + { + "epoch": 0.11026615969581749, + "grad_norm": 0.9962433970680612, + "learning_rate": 1.0943396226415095e-05, + "loss": 0.4915, + "step": 58 + }, + { + "epoch": 0.11216730038022814, + "grad_norm": 0.8442436129591926, + "learning_rate": 1.1132075471698115e-05, + "loss": 0.4768, + "step": 59 + }, + { + "epoch": 0.11406844106463879, + "grad_norm": 0.9891151685844161, + "learning_rate": 1.1320754716981132e-05, + "loss": 0.5032, + "step": 60 + }, + { + "epoch": 0.11596958174904944, + "grad_norm": 0.8972626315731577, + "learning_rate": 1.1509433962264152e-05, + "loss": 0.4471, + "step": 61 + }, + { + "epoch": 0.11787072243346007, + "grad_norm": 0.9044173073797717, + "learning_rate": 1.169811320754717e-05, + "loss": 0.4917, + "step": 62 + }, + { + "epoch": 0.11977186311787072, + "grad_norm": 0.8142713373282179, + "learning_rate": 1.188679245283019e-05, + "loss": 0.4603, + "step": 63 + }, + { + "epoch": 0.12167300380228137, + "grad_norm": 0.9740779273383415, + "learning_rate": 1.2075471698113209e-05, + "loss": 0.5005, + "step": 64 + }, + { + "epoch": 0.12357414448669202, + "grad_norm": 0.9101639423652284, + "learning_rate": 1.2264150943396227e-05, + "loss": 0.4765, + "step": 65 + }, + { + "epoch": 0.12547528517110265, + "grad_norm": 1.059970826214118, + "learning_rate": 1.2452830188679246e-05, + "loss": 0.4647, + "step": 66 + }, + { + "epoch": 0.12737642585551331, + "grad_norm": 0.912478903454531, + "learning_rate": 1.2641509433962264e-05, + "loss": 0.4688, + "step": 67 + }, + { + "epoch": 0.12927756653992395, + "grad_norm": 1.134588272279839, + "learning_rate": 1.2830188679245283e-05, + "loss": 0.4745, + "step": 68 + }, + { + "epoch": 0.1311787072243346, + "grad_norm": 1.0220782107537978, + "learning_rate": 1.3018867924528303e-05, + "loss": 0.5045, + "step": 69 + }, + { + "epoch": 0.13307984790874525, + "grad_norm": 0.8931530729975117, + "learning_rate": 1.320754716981132e-05, + "loss": 0.4751, + "step": 70 + }, + { + "epoch": 0.13498098859315588, + "grad_norm": 0.9861586298421906, + "learning_rate": 1.339622641509434e-05, + "loss": 0.466, + "step": 71 + }, + { + "epoch": 0.13688212927756654, + "grad_norm": 0.9363062644224878, + "learning_rate": 1.3584905660377358e-05, + "loss": 0.4854, + "step": 72 + }, + { + "epoch": 0.13878326996197718, + "grad_norm": 0.937339381555883, + "learning_rate": 1.3773584905660378e-05, + "loss": 0.4681, + "step": 73 + }, + { + "epoch": 0.14068441064638784, + "grad_norm": 0.8591870712230874, + "learning_rate": 1.3962264150943397e-05, + "loss": 0.458, + "step": 74 + }, + { + "epoch": 0.14258555133079848, + "grad_norm": 0.858981228894339, + "learning_rate": 1.4150943396226415e-05, + "loss": 0.4603, + "step": 75 + }, + { + "epoch": 0.1444866920152091, + "grad_norm": 0.9186212567787977, + "learning_rate": 1.4339622641509435e-05, + "loss": 0.4769, + "step": 76 + }, + { + "epoch": 0.14638783269961977, + "grad_norm": 0.9022274880100807, + "learning_rate": 1.4528301886792452e-05, + "loss": 0.4877, + "step": 77 + }, + { + "epoch": 0.1482889733840304, + "grad_norm": 0.930988554652446, + "learning_rate": 1.4716981132075472e-05, + "loss": 0.4563, + "step": 78 + }, + { + "epoch": 0.15019011406844107, + "grad_norm": 0.9259357506630179, + "learning_rate": 1.4905660377358491e-05, + "loss": 0.473, + "step": 79 + }, + { + "epoch": 0.1520912547528517, + "grad_norm": 0.8874955393900509, + "learning_rate": 1.5094339622641511e-05, + "loss": 0.4845, + "step": 80 + }, + { + "epoch": 0.15399239543726237, + "grad_norm": 0.8318666493017952, + "learning_rate": 1.5283018867924532e-05, + "loss": 0.4872, + "step": 81 + }, + { + "epoch": 0.155893536121673, + "grad_norm": 0.9566814808261703, + "learning_rate": 1.547169811320755e-05, + "loss": 0.4595, + "step": 82 + }, + { + "epoch": 0.15779467680608364, + "grad_norm": 0.8510629259210857, + "learning_rate": 1.5660377358490568e-05, + "loss": 0.4739, + "step": 83 + }, + { + "epoch": 0.1596958174904943, + "grad_norm": 0.9116392611478177, + "learning_rate": 1.5849056603773586e-05, + "loss": 0.4691, + "step": 84 + }, + { + "epoch": 0.16159695817490494, + "grad_norm": 0.8877199897313627, + "learning_rate": 1.6037735849056607e-05, + "loss": 0.4639, + "step": 85 + }, + { + "epoch": 0.1634980988593156, + "grad_norm": 0.9772044064892068, + "learning_rate": 1.6226415094339625e-05, + "loss": 0.448, + "step": 86 + }, + { + "epoch": 0.16539923954372623, + "grad_norm": 0.9076758707884138, + "learning_rate": 1.6415094339622643e-05, + "loss": 0.4794, + "step": 87 + }, + { + "epoch": 0.16730038022813687, + "grad_norm": 0.9275505025705646, + "learning_rate": 1.6603773584905664e-05, + "loss": 0.4889, + "step": 88 + }, + { + "epoch": 0.16920152091254753, + "grad_norm": 0.9073442193453491, + "learning_rate": 1.679245283018868e-05, + "loss": 0.4835, + "step": 89 + }, + { + "epoch": 0.17110266159695817, + "grad_norm": 0.8835871761554153, + "learning_rate": 1.69811320754717e-05, + "loss": 0.477, + "step": 90 + }, + { + "epoch": 0.17300380228136883, + "grad_norm": 0.9343484409659698, + "learning_rate": 1.716981132075472e-05, + "loss": 0.4828, + "step": 91 + }, + { + "epoch": 0.17490494296577946, + "grad_norm": 0.9323492506921999, + "learning_rate": 1.735849056603774e-05, + "loss": 0.48, + "step": 92 + }, + { + "epoch": 0.17680608365019013, + "grad_norm": 0.823159847578494, + "learning_rate": 1.7547169811320756e-05, + "loss": 0.4825, + "step": 93 + }, + { + "epoch": 0.17870722433460076, + "grad_norm": 1.0011551534304184, + "learning_rate": 1.7735849056603774e-05, + "loss": 0.481, + "step": 94 + }, + { + "epoch": 0.1806083650190114, + "grad_norm": 0.9800957243928676, + "learning_rate": 1.7924528301886795e-05, + "loss": 0.4889, + "step": 95 + }, + { + "epoch": 0.18250950570342206, + "grad_norm": 0.9067461263250202, + "learning_rate": 1.8113207547169813e-05, + "loss": 0.4745, + "step": 96 + }, + { + "epoch": 0.1844106463878327, + "grad_norm": 0.8524675459989356, + "learning_rate": 1.830188679245283e-05, + "loss": 0.4771, + "step": 97 + }, + { + "epoch": 0.18631178707224336, + "grad_norm": 0.8483896132239259, + "learning_rate": 1.8490566037735852e-05, + "loss": 0.435, + "step": 98 + }, + { + "epoch": 0.188212927756654, + "grad_norm": 0.8627467149752069, + "learning_rate": 1.867924528301887e-05, + "loss": 0.4605, + "step": 99 + }, + { + "epoch": 0.19011406844106463, + "grad_norm": 0.8757480457482022, + "learning_rate": 1.8867924528301888e-05, + "loss": 0.4707, + "step": 100 + }, + { + "epoch": 0.1920152091254753, + "grad_norm": 0.8777210441434259, + "learning_rate": 1.905660377358491e-05, + "loss": 0.4921, + "step": 101 + }, + { + "epoch": 0.19391634980988592, + "grad_norm": 0.833085371904221, + "learning_rate": 1.9245283018867927e-05, + "loss": 0.4562, + "step": 102 + }, + { + "epoch": 0.1958174904942966, + "grad_norm": 0.8733936553420234, + "learning_rate": 1.9433962264150945e-05, + "loss": 0.4826, + "step": 103 + }, + { + "epoch": 0.19771863117870722, + "grad_norm": 0.8673465708505467, + "learning_rate": 1.9622641509433963e-05, + "loss": 0.4561, + "step": 104 + }, + { + "epoch": 0.19961977186311788, + "grad_norm": 0.8945220805737648, + "learning_rate": 1.9811320754716984e-05, + "loss": 0.4733, + "step": 105 + }, + { + "epoch": 0.20152091254752852, + "grad_norm": 0.8783327528452897, + "learning_rate": 2e-05, + "loss": 0.4687, + "step": 106 + }, + { + "epoch": 0.20342205323193915, + "grad_norm": 1.0258227764751655, + "learning_rate": 1.9999944857420527e-05, + "loss": 0.4462, + "step": 107 + }, + { + "epoch": 0.20532319391634982, + "grad_norm": 0.8205906087475225, + "learning_rate": 1.9999779430290247e-05, + "loss": 0.4441, + "step": 108 + }, + { + "epoch": 0.20722433460076045, + "grad_norm": 1.0972288838300526, + "learning_rate": 1.9999503720433575e-05, + "loss": 0.4702, + "step": 109 + }, + { + "epoch": 0.20912547528517111, + "grad_norm": 0.8510661639759426, + "learning_rate": 1.999911773089118e-05, + "loss": 0.4465, + "step": 110 + }, + { + "epoch": 0.21102661596958175, + "grad_norm": 1.0262015955138777, + "learning_rate": 1.999862146591996e-05, + "loss": 0.4472, + "step": 111 + }, + { + "epoch": 0.21292775665399238, + "grad_norm": 0.89809224510171, + "learning_rate": 1.9998014930992976e-05, + "loss": 0.4485, + "step": 112 + }, + { + "epoch": 0.21482889733840305, + "grad_norm": 0.9667696534742204, + "learning_rate": 1.9997298132799408e-05, + "loss": 0.4742, + "step": 113 + }, + { + "epoch": 0.21673003802281368, + "grad_norm": 0.932486995734174, + "learning_rate": 1.9996471079244477e-05, + "loss": 0.4845, + "step": 114 + }, + { + "epoch": 0.21863117870722434, + "grad_norm": 0.9561888147147497, + "learning_rate": 1.999553377944936e-05, + "loss": 0.4613, + "step": 115 + }, + { + "epoch": 0.22053231939163498, + "grad_norm": 0.8444181377731163, + "learning_rate": 1.9994486243751076e-05, + "loss": 0.4789, + "step": 116 + }, + { + "epoch": 0.2224334600760456, + "grad_norm": 1.013400111358396, + "learning_rate": 1.9993328483702393e-05, + "loss": 0.4599, + "step": 117 + }, + { + "epoch": 0.22433460076045628, + "grad_norm": 0.8962337870344801, + "learning_rate": 1.999206051207169e-05, + "loss": 0.4577, + "step": 118 + }, + { + "epoch": 0.2262357414448669, + "grad_norm": 0.9552812909767043, + "learning_rate": 1.9990682342842805e-05, + "loss": 0.4675, + "step": 119 + }, + { + "epoch": 0.22813688212927757, + "grad_norm": 0.8292883832051765, + "learning_rate": 1.99891939912149e-05, + "loss": 0.443, + "step": 120 + }, + { + "epoch": 0.2300380228136882, + "grad_norm": 0.916665304798377, + "learning_rate": 1.9987595473602292e-05, + "loss": 0.482, + "step": 121 + }, + { + "epoch": 0.23193916349809887, + "grad_norm": 0.8654854491066889, + "learning_rate": 1.9985886807634246e-05, + "loss": 0.4944, + "step": 122 + }, + { + "epoch": 0.2338403041825095, + "grad_norm": 0.9419054895779853, + "learning_rate": 1.9984068012154824e-05, + "loss": 0.4598, + "step": 123 + }, + { + "epoch": 0.23574144486692014, + "grad_norm": 0.850714932775501, + "learning_rate": 1.9982139107222634e-05, + "loss": 0.4571, + "step": 124 + }, + { + "epoch": 0.2376425855513308, + "grad_norm": 1.1712515079525407, + "learning_rate": 1.9980100114110637e-05, + "loss": 0.4528, + "step": 125 + }, + { + "epoch": 0.23954372623574144, + "grad_norm": 0.890698353051668, + "learning_rate": 1.99779510553059e-05, + "loss": 0.4526, + "step": 126 + }, + { + "epoch": 0.2414448669201521, + "grad_norm": 0.8203643637993776, + "learning_rate": 1.9975691954509347e-05, + "loss": 0.4852, + "step": 127 + }, + { + "epoch": 0.24334600760456274, + "grad_norm": 0.8586124391337356, + "learning_rate": 1.9973322836635517e-05, + "loss": 0.4638, + "step": 128 + }, + { + "epoch": 0.24524714828897337, + "grad_norm": 0.8687339538949509, + "learning_rate": 1.997084372781226e-05, + "loss": 0.4951, + "step": 129 + }, + { + "epoch": 0.24714828897338403, + "grad_norm": 0.8668279034750476, + "learning_rate": 1.9968254655380465e-05, + "loss": 0.4705, + "step": 130 + }, + { + "epoch": 0.24904942965779467, + "grad_norm": 0.8826342460039781, + "learning_rate": 1.996555564789376e-05, + "loss": 0.4655, + "step": 131 + }, + { + "epoch": 0.2509505703422053, + "grad_norm": 0.9181556661159211, + "learning_rate": 1.996274673511819e-05, + "loss": 0.4456, + "step": 132 + }, + { + "epoch": 0.25285171102661597, + "grad_norm": 0.9006089045342128, + "learning_rate": 1.99598279480319e-05, + "loss": 0.4578, + "step": 133 + }, + { + "epoch": 0.25475285171102663, + "grad_norm": 0.822084907065894, + "learning_rate": 1.9956799318824776e-05, + "loss": 0.4516, + "step": 134 + }, + { + "epoch": 0.25665399239543724, + "grad_norm": 0.9532529261996935, + "learning_rate": 1.99536608808981e-05, + "loss": 0.4679, + "step": 135 + }, + { + "epoch": 0.2585551330798479, + "grad_norm": 1.027938333625226, + "learning_rate": 1.995041266886419e-05, + "loss": 0.4692, + "step": 136 + }, + { + "epoch": 0.26045627376425856, + "grad_norm": 0.8561410518984488, + "learning_rate": 1.9947054718545996e-05, + "loss": 0.4757, + "step": 137 + }, + { + "epoch": 0.2623574144486692, + "grad_norm": 0.7768657212182566, + "learning_rate": 1.994358706697674e-05, + "loss": 0.4578, + "step": 138 + }, + { + "epoch": 0.26425855513307983, + "grad_norm": 0.8248455920856633, + "learning_rate": 1.9940009752399462e-05, + "loss": 0.4721, + "step": 139 + }, + { + "epoch": 0.2661596958174905, + "grad_norm": 0.8484957479670967, + "learning_rate": 1.9936322814266634e-05, + "loss": 0.4724, + "step": 140 + }, + { + "epoch": 0.26806083650190116, + "grad_norm": 0.7791590140923764, + "learning_rate": 1.9932526293239713e-05, + "loss": 0.4654, + "step": 141 + }, + { + "epoch": 0.26996197718631176, + "grad_norm": 0.8509870152648292, + "learning_rate": 1.9928620231188694e-05, + "loss": 0.4388, + "step": 142 + }, + { + "epoch": 0.2718631178707224, + "grad_norm": 0.8826600108119385, + "learning_rate": 1.992460467119164e-05, + "loss": 0.4717, + "step": 143 + }, + { + "epoch": 0.2737642585551331, + "grad_norm": 0.8064189732997133, + "learning_rate": 1.992047965753422e-05, + "loss": 0.493, + "step": 144 + }, + { + "epoch": 0.27566539923954375, + "grad_norm": 0.8810288028194865, + "learning_rate": 1.991624523570922e-05, + "loss": 0.4797, + "step": 145 + }, + { + "epoch": 0.27756653992395436, + "grad_norm": 0.8159312384199753, + "learning_rate": 1.9911901452416012e-05, + "loss": 0.447, + "step": 146 + }, + { + "epoch": 0.279467680608365, + "grad_norm": 0.808570167531465, + "learning_rate": 1.9907448355560094e-05, + "loss": 0.4545, + "step": 147 + }, + { + "epoch": 0.2813688212927757, + "grad_norm": 0.8306291251414123, + "learning_rate": 1.9902885994252506e-05, + "loss": 0.4506, + "step": 148 + }, + { + "epoch": 0.2832699619771863, + "grad_norm": 0.8087386410173785, + "learning_rate": 1.989821441880933e-05, + "loss": 0.4644, + "step": 149 + }, + { + "epoch": 0.28517110266159695, + "grad_norm": 0.7769981049076707, + "learning_rate": 1.9893433680751105e-05, + "loss": 0.46, + "step": 150 + }, + { + "epoch": 0.2870722433460076, + "grad_norm": 0.7954940978098926, + "learning_rate": 1.9888543832802277e-05, + "loss": 0.443, + "step": 151 + }, + { + "epoch": 0.2889733840304182, + "grad_norm": 0.7756673238006605, + "learning_rate": 1.9883544928890612e-05, + "loss": 0.4582, + "step": 152 + }, + { + "epoch": 0.2908745247148289, + "grad_norm": 0.8645285972546879, + "learning_rate": 1.9878437024146603e-05, + "loss": 0.4817, + "step": 153 + }, + { + "epoch": 0.29277566539923955, + "grad_norm": 0.8748541887408302, + "learning_rate": 1.9873220174902857e-05, + "loss": 0.4565, + "step": 154 + }, + { + "epoch": 0.2946768060836502, + "grad_norm": 0.8074671173089965, + "learning_rate": 1.986789443869348e-05, + "loss": 0.4643, + "step": 155 + }, + { + "epoch": 0.2965779467680608, + "grad_norm": 0.8499264086322205, + "learning_rate": 1.9862459874253438e-05, + "loss": 0.4391, + "step": 156 + }, + { + "epoch": 0.2984790874524715, + "grad_norm": 0.8234452054430735, + "learning_rate": 1.985691654151791e-05, + "loss": 0.4443, + "step": 157 + }, + { + "epoch": 0.30038022813688214, + "grad_norm": 0.78948106804705, + "learning_rate": 1.9851264501621635e-05, + "loss": 0.4669, + "step": 158 + }, + { + "epoch": 0.30228136882129275, + "grad_norm": 0.8989430162569413, + "learning_rate": 1.984550381689822e-05, + "loss": 0.4617, + "step": 159 + }, + { + "epoch": 0.3041825095057034, + "grad_norm": 0.7708840089085938, + "learning_rate": 1.983963455087946e-05, + "loss": 0.4681, + "step": 160 + }, + { + "epoch": 0.3060836501901141, + "grad_norm": 0.9075413956094507, + "learning_rate": 1.983365676829466e-05, + "loss": 0.4607, + "step": 161 + }, + { + "epoch": 0.30798479087452474, + "grad_norm": 0.8186387533529618, + "learning_rate": 1.982757053506989e-05, + "loss": 0.4526, + "step": 162 + }, + { + "epoch": 0.30988593155893535, + "grad_norm": 0.760923420825655, + "learning_rate": 1.9821375918327268e-05, + "loss": 0.4614, + "step": 163 + }, + { + "epoch": 0.311787072243346, + "grad_norm": 0.8549987427322232, + "learning_rate": 1.981507298638422e-05, + "loss": 0.4398, + "step": 164 + }, + { + "epoch": 0.31368821292775667, + "grad_norm": 0.8365330410831996, + "learning_rate": 1.9808661808752735e-05, + "loss": 0.4627, + "step": 165 + }, + { + "epoch": 0.3155893536121673, + "grad_norm": 0.9396947999489904, + "learning_rate": 1.980214245613858e-05, + "loss": 0.4441, + "step": 166 + }, + { + "epoch": 0.31749049429657794, + "grad_norm": 0.8628933390920055, + "learning_rate": 1.979551500044055e-05, + "loss": 0.4678, + "step": 167 + }, + { + "epoch": 0.3193916349809886, + "grad_norm": 0.9295443838829754, + "learning_rate": 1.9788779514749635e-05, + "loss": 0.4852, + "step": 168 + }, + { + "epoch": 0.32129277566539927, + "grad_norm": 1.0001657796279226, + "learning_rate": 1.978193607334826e-05, + "loss": 0.4454, + "step": 169 + }, + { + "epoch": 0.3231939163498099, + "grad_norm": 0.8440603443494984, + "learning_rate": 1.977498475170941e-05, + "loss": 0.4688, + "step": 170 + }, + { + "epoch": 0.32509505703422054, + "grad_norm": 0.8425207483539459, + "learning_rate": 1.9767925626495857e-05, + "loss": 0.4522, + "step": 171 + }, + { + "epoch": 0.3269961977186312, + "grad_norm": 1.1156428715940345, + "learning_rate": 1.9760758775559275e-05, + "loss": 0.4692, + "step": 172 + }, + { + "epoch": 0.3288973384030418, + "grad_norm": 0.9061054250308335, + "learning_rate": 1.975348427793939e-05, + "loss": 0.4682, + "step": 173 + }, + { + "epoch": 0.33079847908745247, + "grad_norm": 1.0059198122851127, + "learning_rate": 1.9746102213863113e-05, + "loss": 0.447, + "step": 174 + }, + { + "epoch": 0.33269961977186313, + "grad_norm": 1.0001415770301876, + "learning_rate": 1.973861266474366e-05, + "loss": 0.4776, + "step": 175 + }, + { + "epoch": 0.33460076045627374, + "grad_norm": 1.1253314031960093, + "learning_rate": 1.9731015713179643e-05, + "loss": 0.4671, + "step": 176 + }, + { + "epoch": 0.3365019011406844, + "grad_norm": 0.8734608186816246, + "learning_rate": 1.9723311442954163e-05, + "loss": 0.4514, + "step": 177 + }, + { + "epoch": 0.33840304182509506, + "grad_norm": 0.8462412034425375, + "learning_rate": 1.9715499939033883e-05, + "loss": 0.4357, + "step": 178 + }, + { + "epoch": 0.3403041825095057, + "grad_norm": 1.0092983397685686, + "learning_rate": 1.9707581287568094e-05, + "loss": 0.4403, + "step": 179 + }, + { + "epoch": 0.34220532319391633, + "grad_norm": 0.8031555525141562, + "learning_rate": 1.969955557588778e-05, + "loss": 0.4436, + "step": 180 + }, + { + "epoch": 0.344106463878327, + "grad_norm": 1.0703381925344335, + "learning_rate": 1.9691422892504626e-05, + "loss": 0.4564, + "step": 181 + }, + { + "epoch": 0.34600760456273766, + "grad_norm": 0.836414112631248, + "learning_rate": 1.968318332711006e-05, + "loss": 0.4791, + "step": 182 + }, + { + "epoch": 0.34790874524714827, + "grad_norm": 1.0729233471390593, + "learning_rate": 1.9674836970574253e-05, + "loss": 0.461, + "step": 183 + }, + { + "epoch": 0.34980988593155893, + "grad_norm": 0.8781330933950663, + "learning_rate": 1.966638391494514e-05, + "loss": 0.4405, + "step": 184 + }, + { + "epoch": 0.3517110266159696, + "grad_norm": 0.8642400437178476, + "learning_rate": 1.9657824253447378e-05, + "loss": 0.4452, + "step": 185 + }, + { + "epoch": 0.35361216730038025, + "grad_norm": 0.8374822558787207, + "learning_rate": 1.9649158080481327e-05, + "loss": 0.4681, + "step": 186 + }, + { + "epoch": 0.35551330798479086, + "grad_norm": 0.868779246808885, + "learning_rate": 1.964038549162201e-05, + "loss": 0.4387, + "step": 187 + }, + { + "epoch": 0.3574144486692015, + "grad_norm": 0.8822515188210716, + "learning_rate": 1.963150658361807e-05, + "loss": 0.4507, + "step": 188 + }, + { + "epoch": 0.3593155893536122, + "grad_norm": 0.8229664193183039, + "learning_rate": 1.962252145439068e-05, + "loss": 0.4241, + "step": 189 + }, + { + "epoch": 0.3612167300380228, + "grad_norm": 0.8845480397390805, + "learning_rate": 1.9613430203032486e-05, + "loss": 0.4425, + "step": 190 + }, + { + "epoch": 0.36311787072243346, + "grad_norm": 0.8497929554493379, + "learning_rate": 1.9604232929806493e-05, + "loss": 0.4619, + "step": 191 + }, + { + "epoch": 0.3650190114068441, + "grad_norm": 0.8910077069561141, + "learning_rate": 1.9594929736144978e-05, + "loss": 0.4507, + "step": 192 + }, + { + "epoch": 0.3669201520912547, + "grad_norm": 0.8225617516361949, + "learning_rate": 1.9585520724648354e-05, + "loss": 0.4558, + "step": 193 + }, + { + "epoch": 0.3688212927756654, + "grad_norm": 0.7376446537690261, + "learning_rate": 1.957600599908406e-05, + "loss": 0.4348, + "step": 194 + }, + { + "epoch": 0.37072243346007605, + "grad_norm": 1.034854610415476, + "learning_rate": 1.95663856643854e-05, + "loss": 0.4539, + "step": 195 + }, + { + "epoch": 0.3726235741444867, + "grad_norm": 0.8202104781025685, + "learning_rate": 1.955665982665038e-05, + "loss": 0.4397, + "step": 196 + }, + { + "epoch": 0.3745247148288973, + "grad_norm": 0.7516360121525889, + "learning_rate": 1.9546828593140565e-05, + "loss": 0.4595, + "step": 197 + }, + { + "epoch": 0.376425855513308, + "grad_norm": 0.8176066544592406, + "learning_rate": 1.9536892072279863e-05, + "loss": 0.458, + "step": 198 + }, + { + "epoch": 0.37832699619771865, + "grad_norm": 0.7730338071670566, + "learning_rate": 1.9526850373653356e-05, + "loss": 0.4701, + "step": 199 + }, + { + "epoch": 0.38022813688212925, + "grad_norm": 0.7491229405592764, + "learning_rate": 1.9516703608006074e-05, + "loss": 0.411, + "step": 200 + }, + { + "epoch": 0.3821292775665399, + "grad_norm": 0.7679836570728917, + "learning_rate": 1.9506451887241787e-05, + "loss": 0.4516, + "step": 201 + }, + { + "epoch": 0.3840304182509506, + "grad_norm": 0.8669970707876079, + "learning_rate": 1.949609532442176e-05, + "loss": 0.4544, + "step": 202 + }, + { + "epoch": 0.38593155893536124, + "grad_norm": 0.7952503365423778, + "learning_rate": 1.9485634033763507e-05, + "loss": 0.4491, + "step": 203 + }, + { + "epoch": 0.38783269961977185, + "grad_norm": 0.948045152202822, + "learning_rate": 1.9475068130639543e-05, + "loss": 0.4329, + "step": 204 + }, + { + "epoch": 0.3897338403041825, + "grad_norm": 0.8316252682821497, + "learning_rate": 1.9464397731576093e-05, + "loss": 0.4524, + "step": 205 + }, + { + "epoch": 0.3916349809885932, + "grad_norm": 0.9264128825386274, + "learning_rate": 1.945362295425183e-05, + "loss": 0.4561, + "step": 206 + }, + { + "epoch": 0.3935361216730038, + "grad_norm": 0.7316168173583714, + "learning_rate": 1.944274391749655e-05, + "loss": 0.4359, + "step": 207 + }, + { + "epoch": 0.39543726235741444, + "grad_norm": 0.8596477880886351, + "learning_rate": 1.9431760741289886e-05, + "loss": 0.445, + "step": 208 + }, + { + "epoch": 0.3973384030418251, + "grad_norm": 0.7767198277535254, + "learning_rate": 1.942067354675997e-05, + "loss": 0.4577, + "step": 209 + }, + { + "epoch": 0.39923954372623577, + "grad_norm": 0.7332243452861559, + "learning_rate": 1.9409482456182105e-05, + "loss": 0.4343, + "step": 210 + }, + { + "epoch": 0.4011406844106464, + "grad_norm": 0.7763141803675838, + "learning_rate": 1.939818759297741e-05, + "loss": 0.4492, + "step": 211 + }, + { + "epoch": 0.40304182509505704, + "grad_norm": 0.8176992678699004, + "learning_rate": 1.9386789081711465e-05, + "loss": 0.4487, + "step": 212 + }, + { + "epoch": 0.4049429657794677, + "grad_norm": 0.7371890070028103, + "learning_rate": 1.9375287048092927e-05, + "loss": 0.4624, + "step": 213 + }, + { + "epoch": 0.4068441064638783, + "grad_norm": 0.745484739594109, + "learning_rate": 1.9363681618972166e-05, + "loss": 0.4421, + "step": 214 + }, + { + "epoch": 0.40874524714828897, + "grad_norm": 0.7834012305574243, + "learning_rate": 1.9351972922339835e-05, + "loss": 0.4473, + "step": 215 + }, + { + "epoch": 0.41064638783269963, + "grad_norm": 0.8098619011368847, + "learning_rate": 1.9340161087325483e-05, + "loss": 0.4573, + "step": 216 + }, + { + "epoch": 0.41254752851711024, + "grad_norm": 0.7423621989392688, + "learning_rate": 1.9328246244196117e-05, + "loss": 0.4349, + "step": 217 + }, + { + "epoch": 0.4144486692015209, + "grad_norm": 0.8229993807147958, + "learning_rate": 1.931622852435478e-05, + "loss": 0.4482, + "step": 218 + }, + { + "epoch": 0.41634980988593157, + "grad_norm": 0.7789581652872024, + "learning_rate": 1.930410806033908e-05, + "loss": 0.4279, + "step": 219 + }, + { + "epoch": 0.41825095057034223, + "grad_norm": 0.8304122146086419, + "learning_rate": 1.929188498581975e-05, + "loss": 0.4413, + "step": 220 + }, + { + "epoch": 0.42015209125475284, + "grad_norm": 0.765023384412332, + "learning_rate": 1.9279559435599164e-05, + "loss": 0.4511, + "step": 221 + }, + { + "epoch": 0.4220532319391635, + "grad_norm": 0.7691633516875152, + "learning_rate": 1.926713154560984e-05, + "loss": 0.4583, + "step": 222 + }, + { + "epoch": 0.42395437262357416, + "grad_norm": 0.8937160367772905, + "learning_rate": 1.9254601452912972e-05, + "loss": 0.4677, + "step": 223 + }, + { + "epoch": 0.42585551330798477, + "grad_norm": 0.6990728450459365, + "learning_rate": 1.924196929569688e-05, + "loss": 0.436, + "step": 224 + }, + { + "epoch": 0.42775665399239543, + "grad_norm": 0.7649799938510272, + "learning_rate": 1.922923521327551e-05, + "loss": 0.472, + "step": 225 + }, + { + "epoch": 0.4296577946768061, + "grad_norm": 0.7208999957024362, + "learning_rate": 1.9216399346086893e-05, + "loss": 0.4393, + "step": 226 + }, + { + "epoch": 0.43155893536121676, + "grad_norm": 0.7579693582095106, + "learning_rate": 1.9203461835691596e-05, + "loss": 0.4564, + "step": 227 + }, + { + "epoch": 0.43346007604562736, + "grad_norm": 0.7595182677948493, + "learning_rate": 1.9190422824771158e-05, + "loss": 0.454, + "step": 228 + }, + { + "epoch": 0.435361216730038, + "grad_norm": 0.7190831370460424, + "learning_rate": 1.9177282457126515e-05, + "loss": 0.4438, + "step": 229 + }, + { + "epoch": 0.4372623574144487, + "grad_norm": 0.7569221306264814, + "learning_rate": 1.9164040877676425e-05, + "loss": 0.4384, + "step": 230 + }, + { + "epoch": 0.4391634980988593, + "grad_norm": 0.757615263304378, + "learning_rate": 1.9150698232455853e-05, + "loss": 0.4136, + "step": 231 + }, + { + "epoch": 0.44106463878326996, + "grad_norm": 0.7294839901287309, + "learning_rate": 1.913725466861438e-05, + "loss": 0.4427, + "step": 232 + }, + { + "epoch": 0.4429657794676806, + "grad_norm": 0.8029313636007074, + "learning_rate": 1.9123710334414552e-05, + "loss": 0.4518, + "step": 233 + }, + { + "epoch": 0.4448669201520912, + "grad_norm": 0.8058268457160375, + "learning_rate": 1.911006537923029e-05, + "loss": 0.4295, + "step": 234 + }, + { + "epoch": 0.4467680608365019, + "grad_norm": 0.7156394314598286, + "learning_rate": 1.9096319953545186e-05, + "loss": 0.4355, + "step": 235 + }, + { + "epoch": 0.44866920152091255, + "grad_norm": 0.7549241517192204, + "learning_rate": 1.908247420895089e-05, + "loss": 0.4438, + "step": 236 + }, + { + "epoch": 0.4505703422053232, + "grad_norm": 0.8191961798805029, + "learning_rate": 1.9068528298145418e-05, + "loss": 0.451, + "step": 237 + }, + { + "epoch": 0.4524714828897338, + "grad_norm": 0.7244507562689031, + "learning_rate": 1.905448237493147e-05, + "loss": 0.448, + "step": 238 + }, + { + "epoch": 0.4543726235741445, + "grad_norm": 0.8301746297059636, + "learning_rate": 1.9040336594214727e-05, + "loss": 0.4345, + "step": 239 + }, + { + "epoch": 0.45627376425855515, + "grad_norm": 0.6952867731769793, + "learning_rate": 1.9026091112002163e-05, + "loss": 0.4378, + "step": 240 + }, + { + "epoch": 0.45817490494296575, + "grad_norm": 0.8093615106712789, + "learning_rate": 1.90117460854003e-05, + "loss": 0.4329, + "step": 241 + }, + { + "epoch": 0.4600760456273764, + "grad_norm": 0.8030130407774219, + "learning_rate": 1.8997301672613496e-05, + "loss": 0.4834, + "step": 242 + }, + { + "epoch": 0.4619771863117871, + "grad_norm": 0.7863338343494916, + "learning_rate": 1.8982758032942184e-05, + "loss": 0.457, + "step": 243 + }, + { + "epoch": 0.46387832699619774, + "grad_norm": 0.791371018554521, + "learning_rate": 1.896811532678113e-05, + "loss": 0.4468, + "step": 244 + }, + { + "epoch": 0.46577946768060835, + "grad_norm": 0.7911431316618127, + "learning_rate": 1.8953373715617646e-05, + "loss": 0.4398, + "step": 245 + }, + { + "epoch": 0.467680608365019, + "grad_norm": 0.7045115590464698, + "learning_rate": 1.893853336202983e-05, + "loss": 0.4277, + "step": 246 + }, + { + "epoch": 0.4695817490494297, + "grad_norm": 0.8827929270463941, + "learning_rate": 1.892359442968475e-05, + "loss": 0.4429, + "step": 247 + }, + { + "epoch": 0.4714828897338403, + "grad_norm": 0.7061677517559865, + "learning_rate": 1.8908557083336668e-05, + "loss": 0.4309, + "step": 248 + }, + { + "epoch": 0.47338403041825095, + "grad_norm": 0.8467962180578004, + "learning_rate": 1.889342148882519e-05, + "loss": 0.4358, + "step": 249 + }, + { + "epoch": 0.4752851711026616, + "grad_norm": 0.7333371982658439, + "learning_rate": 1.8878187813073465e-05, + "loss": 0.4562, + "step": 250 + }, + { + "epoch": 0.47718631178707227, + "grad_norm": 0.7240022145139627, + "learning_rate": 1.886285622408633e-05, + "loss": 0.4188, + "step": 251 + }, + { + "epoch": 0.4790874524714829, + "grad_norm": 0.7534176031970651, + "learning_rate": 1.8847426890948447e-05, + "loss": 0.451, + "step": 252 + }, + { + "epoch": 0.48098859315589354, + "grad_norm": 0.7518736759983994, + "learning_rate": 1.8831899983822475e-05, + "loss": 0.4372, + "step": 253 + }, + { + "epoch": 0.4828897338403042, + "grad_norm": 0.7207304372714498, + "learning_rate": 1.8816275673947148e-05, + "loss": 0.4317, + "step": 254 + }, + { + "epoch": 0.4847908745247148, + "grad_norm": 0.7155716703912828, + "learning_rate": 1.8800554133635417e-05, + "loss": 0.4341, + "step": 255 + }, + { + "epoch": 0.4866920152091255, + "grad_norm": 0.7260707266482074, + "learning_rate": 1.8784735536272543e-05, + "loss": 0.422, + "step": 256 + }, + { + "epoch": 0.48859315589353614, + "grad_norm": 0.7385535421524079, + "learning_rate": 1.8768820056314173e-05, + "loss": 0.4272, + "step": 257 + }, + { + "epoch": 0.49049429657794674, + "grad_norm": 0.8230003216984235, + "learning_rate": 1.875280786928444e-05, + "loss": 0.4465, + "step": 258 + }, + { + "epoch": 0.4923954372623574, + "grad_norm": 0.7638799382740075, + "learning_rate": 1.873669915177399e-05, + "loss": 0.4507, + "step": 259 + }, + { + "epoch": 0.49429657794676807, + "grad_norm": 0.7398114103105022, + "learning_rate": 1.872049408143808e-05, + "loss": 0.4192, + "step": 260 + }, + { + "epoch": 0.49619771863117873, + "grad_norm": 0.7278491492655724, + "learning_rate": 1.8704192836994578e-05, + "loss": 0.4155, + "step": 261 + }, + { + "epoch": 0.49809885931558934, + "grad_norm": 0.8383089527657179, + "learning_rate": 1.8687795598222024e-05, + "loss": 0.4377, + "step": 262 + }, + { + "epoch": 0.5, + "grad_norm": 0.9022173759120395, + "learning_rate": 1.8671302545957628e-05, + "loss": 0.4411, + "step": 263 + }, + { + "epoch": 0.5019011406844106, + "grad_norm": 0.775460559768517, + "learning_rate": 1.8654713862095272e-05, + "loss": 0.4388, + "step": 264 + }, + { + "epoch": 0.5038022813688213, + "grad_norm": 0.7997135022039303, + "learning_rate": 1.8638029729583524e-05, + "loss": 0.4583, + "step": 265 + }, + { + "epoch": 0.5057034220532319, + "grad_norm": 0.8256378028356478, + "learning_rate": 1.8621250332423603e-05, + "loss": 0.4466, + "step": 266 + }, + { + "epoch": 0.5076045627376425, + "grad_norm": 0.7504908459637162, + "learning_rate": 1.860437585566736e-05, + "loss": 0.4413, + "step": 267 + }, + { + "epoch": 0.5095057034220533, + "grad_norm": 0.7949080612719884, + "learning_rate": 1.8587406485415226e-05, + "loss": 0.4385, + "step": 268 + }, + { + "epoch": 0.5114068441064639, + "grad_norm": 0.818806015218277, + "learning_rate": 1.8570342408814173e-05, + "loss": 0.4492, + "step": 269 + }, + { + "epoch": 0.5133079847908745, + "grad_norm": 0.7670987393079959, + "learning_rate": 1.855318381405564e-05, + "loss": 0.4647, + "step": 270 + }, + { + "epoch": 0.5152091254752852, + "grad_norm": 0.8405798384900733, + "learning_rate": 1.8535930890373467e-05, + "loss": 0.4431, + "step": 271 + }, + { + "epoch": 0.5171102661596958, + "grad_norm": 0.8310376851182427, + "learning_rate": 1.8518583828041787e-05, + "loss": 0.4274, + "step": 272 + }, + { + "epoch": 0.5190114068441065, + "grad_norm": 0.7742500774542205, + "learning_rate": 1.8501142818372964e-05, + "loss": 0.4307, + "step": 273 + }, + { + "epoch": 0.5209125475285171, + "grad_norm": 0.8998499399110481, + "learning_rate": 1.848360805371544e-05, + "loss": 0.4406, + "step": 274 + }, + { + "epoch": 0.5228136882129277, + "grad_norm": 0.8059160027278037, + "learning_rate": 1.8465979727451653e-05, + "loss": 0.4476, + "step": 275 + }, + { + "epoch": 0.5247148288973384, + "grad_norm": 0.9586842188224283, + "learning_rate": 1.8448258033995877e-05, + "loss": 0.4263, + "step": 276 + }, + { + "epoch": 0.526615969581749, + "grad_norm": 0.8890845063380293, + "learning_rate": 1.8430443168792087e-05, + "loss": 0.4184, + "step": 277 + }, + { + "epoch": 0.5285171102661597, + "grad_norm": 0.7688350950287203, + "learning_rate": 1.8412535328311813e-05, + "loss": 0.4495, + "step": 278 + }, + { + "epoch": 0.5304182509505704, + "grad_norm": 0.961472135246734, + "learning_rate": 1.8394534710051956e-05, + "loss": 0.448, + "step": 279 + }, + { + "epoch": 0.532319391634981, + "grad_norm": 0.7545199706098225, + "learning_rate": 1.8376441512532617e-05, + "loss": 0.4409, + "step": 280 + }, + { + "epoch": 0.5342205323193916, + "grad_norm": 0.7678528475035395, + "learning_rate": 1.835825593529492e-05, + "loss": 0.422, + "step": 281 + }, + { + "epoch": 0.5361216730038023, + "grad_norm": 0.7095069040341553, + "learning_rate": 1.833997817889878e-05, + "loss": 0.4249, + "step": 282 + }, + { + "epoch": 0.5380228136882129, + "grad_norm": 0.7254843703014583, + "learning_rate": 1.8321608444920738e-05, + "loss": 0.4208, + "step": 283 + }, + { + "epoch": 0.5399239543726235, + "grad_norm": 0.702128916453244, + "learning_rate": 1.830314693595169e-05, + "loss": 0.4297, + "step": 284 + }, + { + "epoch": 0.5418250950570342, + "grad_norm": 0.7229121265950238, + "learning_rate": 1.828459385559468e-05, + "loss": 0.4295, + "step": 285 + }, + { + "epoch": 0.5437262357414449, + "grad_norm": 0.7191249366876319, + "learning_rate": 1.8265949408462657e-05, + "loss": 0.4307, + "step": 286 + }, + { + "epoch": 0.5456273764258555, + "grad_norm": 0.7060200556410641, + "learning_rate": 1.8247213800176192e-05, + "loss": 0.4375, + "step": 287 + }, + { + "epoch": 0.5475285171102662, + "grad_norm": 0.7252634361077612, + "learning_rate": 1.8228387237361245e-05, + "loss": 0.4321, + "step": 288 + }, + { + "epoch": 0.5494296577946768, + "grad_norm": 0.7252531696504165, + "learning_rate": 1.8209469927646863e-05, + "loss": 0.4336, + "step": 289 + }, + { + "epoch": 0.5513307984790875, + "grad_norm": 0.7131800869830593, + "learning_rate": 1.8190462079662897e-05, + "loss": 0.4545, + "step": 290 + }, + { + "epoch": 0.5532319391634981, + "grad_norm": 0.6988423569695901, + "learning_rate": 1.81713639030377e-05, + "loss": 0.4294, + "step": 291 + }, + { + "epoch": 0.5551330798479087, + "grad_norm": 0.7142797939687778, + "learning_rate": 1.8152175608395814e-05, + "loss": 0.4241, + "step": 292 + }, + { + "epoch": 0.5570342205323194, + "grad_norm": 0.765845198381463, + "learning_rate": 1.8132897407355657e-05, + "loss": 0.4435, + "step": 293 + }, + { + "epoch": 0.55893536121673, + "grad_norm": 1.005647182386002, + "learning_rate": 1.811352951252717e-05, + "loss": 0.4089, + "step": 294 + }, + { + "epoch": 0.5608365019011406, + "grad_norm": 1.050397886305871, + "learning_rate": 1.809407213750949e-05, + "loss": 0.4314, + "step": 295 + }, + { + "epoch": 0.5627376425855514, + "grad_norm": 1.0469939942046973, + "learning_rate": 1.807452549688859e-05, + "loss": 0.4279, + "step": 296 + }, + { + "epoch": 0.564638783269962, + "grad_norm": 1.0171725382364882, + "learning_rate": 1.8054889806234906e-05, + "loss": 0.4739, + "step": 297 + }, + { + "epoch": 0.5665399239543726, + "grad_norm": 1.0298849829352918, + "learning_rate": 1.8035165282100963e-05, + "loss": 0.4274, + "step": 298 + }, + { + "epoch": 0.5684410646387833, + "grad_norm": 0.936062659229467, + "learning_rate": 1.8015352142018984e-05, + "loss": 0.4273, + "step": 299 + }, + { + "epoch": 0.5703422053231939, + "grad_norm": 0.9328587495407188, + "learning_rate": 1.799545060449851e-05, + "loss": 0.4218, + "step": 300 + }, + { + "epoch": 0.5722433460076045, + "grad_norm": 0.747991749541965, + "learning_rate": 1.797546088902396e-05, + "loss": 0.4208, + "step": 301 + }, + { + "epoch": 0.5741444866920152, + "grad_norm": 1.1054072075939436, + "learning_rate": 1.7955383216052224e-05, + "loss": 0.4276, + "step": 302 + }, + { + "epoch": 0.5760456273764258, + "grad_norm": 0.7487149131472096, + "learning_rate": 1.7935217807010238e-05, + "loss": 0.4445, + "step": 303 + }, + { + "epoch": 0.5779467680608364, + "grad_norm": 0.9054358930276075, + "learning_rate": 1.7914964884292543e-05, + "loss": 0.4367, + "step": 304 + }, + { + "epoch": 0.5798479087452472, + "grad_norm": 0.7980799495199992, + "learning_rate": 1.7894624671258813e-05, + "loss": 0.4476, + "step": 305 + }, + { + "epoch": 0.5817490494296578, + "grad_norm": 0.7156177614982158, + "learning_rate": 1.7874197392231414e-05, + "loss": 0.4181, + "step": 306 + }, + { + "epoch": 0.5836501901140685, + "grad_norm": 0.8539455081753311, + "learning_rate": 1.7853683272492913e-05, + "loss": 0.4446, + "step": 307 + }, + { + "epoch": 0.5855513307984791, + "grad_norm": 0.734122875086201, + "learning_rate": 1.7833082538283615e-05, + "loss": 0.4309, + "step": 308 + }, + { + "epoch": 0.5874524714828897, + "grad_norm": 0.8508683328618183, + "learning_rate": 1.7812395416799034e-05, + "loss": 0.4193, + "step": 309 + }, + { + "epoch": 0.5893536121673004, + "grad_norm": 0.7629211534488731, + "learning_rate": 1.7791622136187422e-05, + "loss": 0.4608, + "step": 310 + }, + { + "epoch": 0.591254752851711, + "grad_norm": 0.7549594454329173, + "learning_rate": 1.7770762925547235e-05, + "loss": 0.4288, + "step": 311 + }, + { + "epoch": 0.5931558935361216, + "grad_norm": 0.712900145204785, + "learning_rate": 1.7749818014924612e-05, + "loss": 0.4312, + "step": 312 + }, + { + "epoch": 0.5950570342205324, + "grad_norm": 0.6893233338048916, + "learning_rate": 1.7728787635310828e-05, + "loss": 0.4089, + "step": 313 + }, + { + "epoch": 0.596958174904943, + "grad_norm": 0.6825814872096522, + "learning_rate": 1.770767201863976e-05, + "loss": 0.4327, + "step": 314 + }, + { + "epoch": 0.5988593155893536, + "grad_norm": 0.7438134148894817, + "learning_rate": 1.7686471397785322e-05, + "loss": 0.418, + "step": 315 + }, + { + "epoch": 0.6007604562737643, + "grad_norm": 0.6691879303250395, + "learning_rate": 1.76651860065589e-05, + "loss": 0.4142, + "step": 316 + }, + { + "epoch": 0.6026615969581749, + "grad_norm": 0.7530541859359616, + "learning_rate": 1.764381607970677e-05, + "loss": 0.4289, + "step": 317 + }, + { + "epoch": 0.6045627376425855, + "grad_norm": 0.7779174466685825, + "learning_rate": 1.7622361852907506e-05, + "loss": 0.4067, + "step": 318 + }, + { + "epoch": 0.6064638783269962, + "grad_norm": 0.729919516135425, + "learning_rate": 1.760082356276939e-05, + "loss": 0.439, + "step": 319 + }, + { + "epoch": 0.6083650190114068, + "grad_norm": 0.6714255709395164, + "learning_rate": 1.75792014468278e-05, + "loss": 0.4151, + "step": 320 + }, + { + "epoch": 0.6102661596958175, + "grad_norm": 0.6808133488887521, + "learning_rate": 1.7557495743542586e-05, + "loss": 0.4376, + "step": 321 + }, + { + "epoch": 0.6121673003802282, + "grad_norm": 0.7256708969678756, + "learning_rate": 1.7535706692295436e-05, + "loss": 0.4428, + "step": 322 + }, + { + "epoch": 0.6140684410646388, + "grad_norm": 0.6848328910295242, + "learning_rate": 1.7513834533387256e-05, + "loss": 0.4209, + "step": 323 + }, + { + "epoch": 0.6159695817490495, + "grad_norm": 0.6944098338400391, + "learning_rate": 1.7491879508035488e-05, + "loss": 0.4416, + "step": 324 + }, + { + "epoch": 0.6178707224334601, + "grad_norm": 0.6654502350636388, + "learning_rate": 1.746984185837149e-05, + "loss": 0.4215, + "step": 325 + }, + { + "epoch": 0.6197718631178707, + "grad_norm": 0.7018651310753525, + "learning_rate": 1.744772182743782e-05, + "loss": 0.4273, + "step": 326 + }, + { + "epoch": 0.6216730038022814, + "grad_norm": 0.700045533506836, + "learning_rate": 1.7425519659185596e-05, + "loss": 0.4252, + "step": 327 + }, + { + "epoch": 0.623574144486692, + "grad_norm": 0.6978565551886846, + "learning_rate": 1.740323559847179e-05, + "loss": 0.4343, + "step": 328 + }, + { + "epoch": 0.6254752851711026, + "grad_norm": 0.685470796874879, + "learning_rate": 1.738086989105651e-05, + "loss": 0.4081, + "step": 329 + }, + { + "epoch": 0.6273764258555133, + "grad_norm": 0.7913435737861949, + "learning_rate": 1.735842278360032e-05, + "loss": 0.4557, + "step": 330 + }, + { + "epoch": 0.629277566539924, + "grad_norm": 0.6588906764258432, + "learning_rate": 1.73358945236615e-05, + "loss": 0.4226, + "step": 331 + }, + { + "epoch": 0.6311787072243346, + "grad_norm": 0.661951355060734, + "learning_rate": 1.7313285359693322e-05, + "loss": 0.4376, + "step": 332 + }, + { + "epoch": 0.6330798479087453, + "grad_norm": 0.7424890959424313, + "learning_rate": 1.7290595541041312e-05, + "loss": 0.3997, + "step": 333 + }, + { + "epoch": 0.6349809885931559, + "grad_norm": 0.6896349177232862, + "learning_rate": 1.7267825317940494e-05, + "loss": 0.4449, + "step": 334 + }, + { + "epoch": 0.6368821292775665, + "grad_norm": 0.7345447695117684, + "learning_rate": 1.724497494151264e-05, + "loss": 0.4126, + "step": 335 + }, + { + "epoch": 0.6387832699619772, + "grad_norm": 0.7059812106257065, + "learning_rate": 1.7222044663763484e-05, + "loss": 0.4263, + "step": 336 + }, + { + "epoch": 0.6406844106463878, + "grad_norm": 0.7674748088738242, + "learning_rate": 1.7199034737579962e-05, + "loss": 0.4272, + "step": 337 + }, + { + "epoch": 0.6425855513307985, + "grad_norm": 0.711118520403189, + "learning_rate": 1.7175945416727405e-05, + "loss": 0.4466, + "step": 338 + }, + { + "epoch": 0.6444866920152091, + "grad_norm": 0.6994780768037421, + "learning_rate": 1.7152776955846768e-05, + "loss": 0.4145, + "step": 339 + }, + { + "epoch": 0.6463878326996197, + "grad_norm": 0.7344154680610566, + "learning_rate": 1.7129529610451775e-05, + "loss": 0.4132, + "step": 340 + }, + { + "epoch": 0.6482889733840305, + "grad_norm": 0.6980718305036266, + "learning_rate": 1.7106203636926154e-05, + "loss": 0.436, + "step": 341 + }, + { + "epoch": 0.6501901140684411, + "grad_norm": 0.9889787096786525, + "learning_rate": 1.7082799292520767e-05, + "loss": 0.4168, + "step": 342 + }, + { + "epoch": 0.6520912547528517, + "grad_norm": 0.7183484141891322, + "learning_rate": 1.7059316835350806e-05, + "loss": 0.4236, + "step": 343 + }, + { + "epoch": 0.6539923954372624, + "grad_norm": 0.9350374129787101, + "learning_rate": 1.7035756524392924e-05, + "loss": 0.4248, + "step": 344 + }, + { + "epoch": 0.655893536121673, + "grad_norm": 0.7724280603714035, + "learning_rate": 1.7012118619482376e-05, + "loss": 0.437, + "step": 345 + }, + { + "epoch": 0.6577946768060836, + "grad_norm": 0.8494440151857628, + "learning_rate": 1.6988403381310177e-05, + "loss": 0.4463, + "step": 346 + }, + { + "epoch": 0.6596958174904943, + "grad_norm": 0.762413468427766, + "learning_rate": 1.696461107142021e-05, + "loss": 0.4329, + "step": 347 + }, + { + "epoch": 0.6615969581749049, + "grad_norm": 0.6530153008143537, + "learning_rate": 1.6940741952206342e-05, + "loss": 0.4225, + "step": 348 + }, + { + "epoch": 0.6634980988593155, + "grad_norm": 0.8759213333612214, + "learning_rate": 1.691679628690953e-05, + "loss": 0.4402, + "step": 349 + }, + { + "epoch": 0.6653992395437263, + "grad_norm": 0.696926269352893, + "learning_rate": 1.6892774339614927e-05, + "loss": 0.4143, + "step": 350 + }, + { + "epoch": 0.6673003802281369, + "grad_norm": 0.8456193483234181, + "learning_rate": 1.686867637524896e-05, + "loss": 0.4441, + "step": 351 + }, + { + "epoch": 0.6692015209125475, + "grad_norm": 0.7686957706257199, + "learning_rate": 1.6844502659576414e-05, + "loss": 0.4267, + "step": 352 + }, + { + "epoch": 0.6711026615969582, + "grad_norm": 0.6654202422811619, + "learning_rate": 1.6820253459197493e-05, + "loss": 0.4377, + "step": 353 + }, + { + "epoch": 0.6730038022813688, + "grad_norm": 0.9687415337995555, + "learning_rate": 1.679592904154489e-05, + "loss": 0.4381, + "step": 354 + }, + { + "epoch": 0.6749049429657795, + "grad_norm": 0.6694556328170388, + "learning_rate": 1.677152967488084e-05, + "loss": 0.4383, + "step": 355 + }, + { + "epoch": 0.6768060836501901, + "grad_norm": 0.7378088429178773, + "learning_rate": 1.6747055628294134e-05, + "loss": 0.4336, + "step": 356 + }, + { + "epoch": 0.6787072243346007, + "grad_norm": 0.7970643687049169, + "learning_rate": 1.6722507171697184e-05, + "loss": 0.4239, + "step": 357 + }, + { + "epoch": 0.6806083650190115, + "grad_norm": 0.6946104424266204, + "learning_rate": 1.669788457582304e-05, + "loss": 0.4478, + "step": 358 + }, + { + "epoch": 0.6825095057034221, + "grad_norm": 0.7851236530252377, + "learning_rate": 1.6673188112222394e-05, + "loss": 0.419, + "step": 359 + }, + { + "epoch": 0.6844106463878327, + "grad_norm": 0.8071504085130161, + "learning_rate": 1.6648418053260585e-05, + "loss": 0.4406, + "step": 360 + }, + { + "epoch": 0.6863117870722434, + "grad_norm": 0.6812745148344767, + "learning_rate": 1.6623574672114596e-05, + "loss": 0.4122, + "step": 361 + }, + { + "epoch": 0.688212927756654, + "grad_norm": 0.772846162563241, + "learning_rate": 1.6598658242770054e-05, + "loss": 0.4352, + "step": 362 + }, + { + "epoch": 0.6901140684410646, + "grad_norm": 0.7336843469011123, + "learning_rate": 1.6573669040018202e-05, + "loss": 0.4255, + "step": 363 + }, + { + "epoch": 0.6920152091254753, + "grad_norm": 0.7116217185816214, + "learning_rate": 1.6548607339452853e-05, + "loss": 0.4149, + "step": 364 + }, + { + "epoch": 0.6939163498098859, + "grad_norm": 0.8475425527465938, + "learning_rate": 1.652347341746737e-05, + "loss": 0.4269, + "step": 365 + }, + { + "epoch": 0.6958174904942965, + "grad_norm": 0.7068154412947997, + "learning_rate": 1.6498267551251618e-05, + "loss": 0.4191, + "step": 366 + }, + { + "epoch": 0.6977186311787072, + "grad_norm": 0.8026030499241988, + "learning_rate": 1.6472990018788884e-05, + "loss": 0.4061, + "step": 367 + }, + { + "epoch": 0.6996197718631179, + "grad_norm": 0.7293620095428041, + "learning_rate": 1.644764109885284e-05, + "loss": 0.4419, + "step": 368 + }, + { + "epoch": 0.7015209125475285, + "grad_norm": 0.7903767231518011, + "learning_rate": 1.642222107100446e-05, + "loss": 0.4242, + "step": 369 + }, + { + "epoch": 0.7034220532319392, + "grad_norm": 0.7428664679528834, + "learning_rate": 1.6396730215588913e-05, + "loss": 0.4204, + "step": 370 + }, + { + "epoch": 0.7053231939163498, + "grad_norm": 0.7265102623479446, + "learning_rate": 1.6371168813732514e-05, + "loss": 0.4212, + "step": 371 + }, + { + "epoch": 0.7072243346007605, + "grad_norm": 0.8407209953347514, + "learning_rate": 1.6345537147339578e-05, + "loss": 0.4301, + "step": 372 + }, + { + "epoch": 0.7091254752851711, + "grad_norm": 0.6705756367173369, + "learning_rate": 1.6319835499089358e-05, + "loss": 0.4197, + "step": 373 + }, + { + "epoch": 0.7110266159695817, + "grad_norm": 0.7497329251626604, + "learning_rate": 1.6294064152432878e-05, + "loss": 0.4118, + "step": 374 + }, + { + "epoch": 0.7129277566539924, + "grad_norm": 0.7105139730721509, + "learning_rate": 1.626822339158985e-05, + "loss": 0.4161, + "step": 375 + }, + { + "epoch": 0.714828897338403, + "grad_norm": 0.711497334411663, + "learning_rate": 1.6242313501545522e-05, + "loss": 0.4169, + "step": 376 + }, + { + "epoch": 0.7167300380228137, + "grad_norm": 0.7522296007691398, + "learning_rate": 1.621633476804752e-05, + "loss": 0.4386, + "step": 377 + }, + { + "epoch": 0.7186311787072244, + "grad_norm": 0.7983681131507673, + "learning_rate": 1.6190287477602716e-05, + "loss": 0.4375, + "step": 378 + }, + { + "epoch": 0.720532319391635, + "grad_norm": 0.6839271230510038, + "learning_rate": 1.6164171917474078e-05, + "loss": 0.4208, + "step": 379 + }, + { + "epoch": 0.7224334600760456, + "grad_norm": 0.7321185457540013, + "learning_rate": 1.6137988375677466e-05, + "loss": 0.4665, + "step": 380 + }, + { + "epoch": 0.7243346007604563, + "grad_norm": 0.7053799603886048, + "learning_rate": 1.6111737140978495e-05, + "loss": 0.4083, + "step": 381 + }, + { + "epoch": 0.7262357414448669, + "grad_norm": 0.6894943613796017, + "learning_rate": 1.6085418502889315e-05, + "loss": 0.4208, + "step": 382 + }, + { + "epoch": 0.7281368821292775, + "grad_norm": 0.7482115631072515, + "learning_rate": 1.6059032751665454e-05, + "loss": 0.4449, + "step": 383 + }, + { + "epoch": 0.7300380228136882, + "grad_norm": 0.7312175060795585, + "learning_rate": 1.6032580178302585e-05, + "loss": 0.4491, + "step": 384 + }, + { + "epoch": 0.7319391634980988, + "grad_norm": 0.7036819720430177, + "learning_rate": 1.600606107453333e-05, + "loss": 0.4402, + "step": 385 + }, + { + "epoch": 0.7338403041825095, + "grad_norm": 0.7143560438458977, + "learning_rate": 1.597947573282405e-05, + "loss": 0.4293, + "step": 386 + }, + { + "epoch": 0.7357414448669202, + "grad_norm": 0.6898327204445933, + "learning_rate": 1.5952824446371608e-05, + "loss": 0.4501, + "step": 387 + }, + { + "epoch": 0.7376425855513308, + "grad_norm": 0.6864240736559833, + "learning_rate": 1.592610750910014e-05, + "loss": 0.415, + "step": 388 + }, + { + "epoch": 0.7395437262357415, + "grad_norm": 0.6744977552810958, + "learning_rate": 1.589932521565781e-05, + "loss": 0.4286, + "step": 389 + }, + { + "epoch": 0.7414448669201521, + "grad_norm": 0.7165569986474158, + "learning_rate": 1.587247786141358e-05, + "loss": 0.4194, + "step": 390 + }, + { + "epoch": 0.7433460076045627, + "grad_norm": 0.7144470279954032, + "learning_rate": 1.5845565742453906e-05, + "loss": 0.4409, + "step": 391 + }, + { + "epoch": 0.7452471482889734, + "grad_norm": 0.7362490448857079, + "learning_rate": 1.581858915557953e-05, + "loss": 0.423, + "step": 392 + }, + { + "epoch": 0.747148288973384, + "grad_norm": 0.7162007431267081, + "learning_rate": 1.5791548398302167e-05, + "loss": 0.4411, + "step": 393 + }, + { + "epoch": 0.7490494296577946, + "grad_norm": 0.6507891613824422, + "learning_rate": 1.5764443768841234e-05, + "loss": 0.399, + "step": 394 + }, + { + "epoch": 0.7509505703422054, + "grad_norm": 0.6478017561460849, + "learning_rate": 1.5737275566120577e-05, + "loss": 0.4254, + "step": 395 + }, + { + "epoch": 0.752851711026616, + "grad_norm": 0.6392644009475273, + "learning_rate": 1.5710044089765144e-05, + "loss": 0.4246, + "step": 396 + }, + { + "epoch": 0.7547528517110266, + "grad_norm": 0.690859818302916, + "learning_rate": 1.5682749640097708e-05, + "loss": 0.4012, + "step": 397 + }, + { + "epoch": 0.7566539923954373, + "grad_norm": 0.6637356238751483, + "learning_rate": 1.565539251813554e-05, + "loss": 0.396, + "step": 398 + }, + { + "epoch": 0.7585551330798479, + "grad_norm": 0.7322017503927534, + "learning_rate": 1.5627973025587093e-05, + "loss": 0.4354, + "step": 399 + }, + { + "epoch": 0.7604562737642585, + "grad_norm": 0.6746692530126546, + "learning_rate": 1.560049146484868e-05, + "loss": 0.412, + "step": 400 + }, + { + "epoch": 0.7623574144486692, + "grad_norm": 0.7492842417494959, + "learning_rate": 1.5572948139001128e-05, + "loss": 0.445, + "step": 401 + }, + { + "epoch": 0.7642585551330798, + "grad_norm": 0.6904203102291823, + "learning_rate": 1.5545343351806443e-05, + "loss": 0.4039, + "step": 402 + }, + { + "epoch": 0.7661596958174905, + "grad_norm": 0.7623602220363814, + "learning_rate": 1.551767740770446e-05, + "loss": 0.4092, + "step": 403 + }, + { + "epoch": 0.7680608365019012, + "grad_norm": 0.7647807838405704, + "learning_rate": 1.5489950611809484e-05, + "loss": 0.4145, + "step": 404 + }, + { + "epoch": 0.7699619771863118, + "grad_norm": 0.7415420747755611, + "learning_rate": 1.5462163269906928e-05, + "loss": 0.4224, + "step": 405 + }, + { + "epoch": 0.7718631178707225, + "grad_norm": 0.7482606678642779, + "learning_rate": 1.5434315688449924e-05, + "loss": 0.4317, + "step": 406 + }, + { + "epoch": 0.7737642585551331, + "grad_norm": 0.6913822949781429, + "learning_rate": 1.5406408174555978e-05, + "loss": 0.4054, + "step": 407 + }, + { + "epoch": 0.7756653992395437, + "grad_norm": 0.7156376527897887, + "learning_rate": 1.5378441036003543e-05, + "loss": 0.4477, + "step": 408 + }, + { + "epoch": 0.7775665399239544, + "grad_norm": 0.6882963696638815, + "learning_rate": 1.535041458122865e-05, + "loss": 0.4063, + "step": 409 + }, + { + "epoch": 0.779467680608365, + "grad_norm": 0.6816034157462327, + "learning_rate": 1.5322329119321508e-05, + "loss": 0.4171, + "step": 410 + }, + { + "epoch": 0.7813688212927756, + "grad_norm": 0.6937176509233782, + "learning_rate": 1.529418496002308e-05, + "loss": 0.4164, + "step": 411 + }, + { + "epoch": 0.7832699619771863, + "grad_norm": 0.6686609147429702, + "learning_rate": 1.5265982413721662e-05, + "loss": 0.3962, + "step": 412 + }, + { + "epoch": 0.785171102661597, + "grad_norm": 0.7217285772997423, + "learning_rate": 1.5237721791449497e-05, + "loss": 0.428, + "step": 413 + }, + { + "epoch": 0.7870722433460076, + "grad_norm": 0.7218632785325884, + "learning_rate": 1.5209403404879305e-05, + "loss": 0.4175, + "step": 414 + }, + { + "epoch": 0.7889733840304183, + "grad_norm": 0.6024709473117515, + "learning_rate": 1.5181027566320858e-05, + "loss": 0.4102, + "step": 415 + }, + { + "epoch": 0.7908745247148289, + "grad_norm": 0.7054997399086531, + "learning_rate": 1.5152594588717544e-05, + "loss": 0.4305, + "step": 416 + }, + { + "epoch": 0.7927756653992395, + "grad_norm": 0.6825783621606308, + "learning_rate": 1.5124104785642909e-05, + "loss": 0.4241, + "step": 417 + }, + { + "epoch": 0.7946768060836502, + "grad_norm": 0.7267953388305626, + "learning_rate": 1.5095558471297196e-05, + "loss": 0.4199, + "step": 418 + }, + { + "epoch": 0.7965779467680608, + "grad_norm": 0.6382095119192498, + "learning_rate": 1.5066955960503893e-05, + "loss": 0.4169, + "step": 419 + }, + { + "epoch": 0.7984790874524715, + "grad_norm": 0.7145201555635163, + "learning_rate": 1.5038297568706244e-05, + "loss": 0.444, + "step": 420 + }, + { + "epoch": 0.8003802281368821, + "grad_norm": 0.6938113513341884, + "learning_rate": 1.5009583611963772e-05, + "loss": 0.42, + "step": 421 + }, + { + "epoch": 0.8022813688212928, + "grad_norm": 0.6340581529912502, + "learning_rate": 1.4980814406948806e-05, + "loss": 0.4136, + "step": 422 + }, + { + "epoch": 0.8041825095057035, + "grad_norm": 0.6658823774122303, + "learning_rate": 1.4951990270942991e-05, + "loss": 0.3994, + "step": 423 + }, + { + "epoch": 0.8060836501901141, + "grad_norm": 0.6705619036501977, + "learning_rate": 1.492311152183376e-05, + "loss": 0.3967, + "step": 424 + }, + { + "epoch": 0.8079847908745247, + "grad_norm": 0.6964488087372772, + "learning_rate": 1.4894178478110856e-05, + "loss": 0.43, + "step": 425 + }, + { + "epoch": 0.8098859315589354, + "grad_norm": 0.6451331845406248, + "learning_rate": 1.4865191458862816e-05, + "loss": 0.4044, + "step": 426 + }, + { + "epoch": 0.811787072243346, + "grad_norm": 0.7430789787491603, + "learning_rate": 1.4836150783773442e-05, + "loss": 0.4029, + "step": 427 + }, + { + "epoch": 0.8136882129277566, + "grad_norm": 0.7041897470949452, + "learning_rate": 1.4807056773118276e-05, + "loss": 0.4402, + "step": 428 + }, + { + "epoch": 0.8155893536121673, + "grad_norm": 0.6036106557881402, + "learning_rate": 1.4777909747761085e-05, + "loss": 0.3768, + "step": 429 + }, + { + "epoch": 0.8174904942965779, + "grad_norm": 0.7135732599367652, + "learning_rate": 1.4748710029150296e-05, + "loss": 0.4298, + "step": 430 + }, + { + "epoch": 0.8193916349809885, + "grad_norm": 0.6942497407500151, + "learning_rate": 1.4719457939315468e-05, + "loss": 0.4259, + "step": 431 + }, + { + "epoch": 0.8212927756653993, + "grad_norm": 0.6750746339690238, + "learning_rate": 1.4690153800863743e-05, + "loss": 0.4135, + "step": 432 + }, + { + "epoch": 0.8231939163498099, + "grad_norm": 0.7974241177699236, + "learning_rate": 1.4660797936976278e-05, + "loss": 0.4055, + "step": 433 + }, + { + "epoch": 0.8250950570342205, + "grad_norm": 0.6966474517472557, + "learning_rate": 1.4631390671404682e-05, + "loss": 0.4145, + "step": 434 + }, + { + "epoch": 0.8269961977186312, + "grad_norm": 0.6958050069539574, + "learning_rate": 1.460193232846745e-05, + "loss": 0.4088, + "step": 435 + }, + { + "epoch": 0.8288973384030418, + "grad_norm": 0.8461081012871562, + "learning_rate": 1.4572423233046386e-05, + "loss": 0.444, + "step": 436 + }, + { + "epoch": 0.8307984790874525, + "grad_norm": 0.750880681049732, + "learning_rate": 1.4542863710583022e-05, + "loss": 0.4363, + "step": 437 + }, + { + "epoch": 0.8326996197718631, + "grad_norm": 0.7788256285888076, + "learning_rate": 1.4513254087075015e-05, + "loss": 0.42, + "step": 438 + }, + { + "epoch": 0.8346007604562737, + "grad_norm": 0.649175258098246, + "learning_rate": 1.4483594689072571e-05, + "loss": 0.4097, + "step": 439 + }, + { + "epoch": 0.8365019011406845, + "grad_norm": 0.7668411520179457, + "learning_rate": 1.4453885843674837e-05, + "loss": 0.4112, + "step": 440 + }, + { + "epoch": 0.8384030418250951, + "grad_norm": 0.6539260565291376, + "learning_rate": 1.4424127878526278e-05, + "loss": 0.4227, + "step": 441 + }, + { + "epoch": 0.8403041825095057, + "grad_norm": 0.7428601378603686, + "learning_rate": 1.4394321121813093e-05, + "loss": 0.413, + "step": 442 + }, + { + "epoch": 0.8422053231939164, + "grad_norm": 0.7088978711396908, + "learning_rate": 1.436446590225957e-05, + "loss": 0.4288, + "step": 443 + }, + { + "epoch": 0.844106463878327, + "grad_norm": 0.6254495483866781, + "learning_rate": 1.433456254912447e-05, + "loss": 0.4034, + "step": 444 + }, + { + "epoch": 0.8460076045627376, + "grad_norm": 0.7395571305821382, + "learning_rate": 1.4304611392197399e-05, + "loss": 0.4188, + "step": 445 + }, + { + "epoch": 0.8479087452471483, + "grad_norm": 0.6669766854021364, + "learning_rate": 1.427461276179517e-05, + "loss": 0.4185, + "step": 446 + }, + { + "epoch": 0.8498098859315589, + "grad_norm": 0.6447879931458861, + "learning_rate": 1.4244566988758152e-05, + "loss": 0.4043, + "step": 447 + }, + { + "epoch": 0.8517110266159695, + "grad_norm": 0.6711757818041713, + "learning_rate": 1.4214474404446633e-05, + "loss": 0.4181, + "step": 448 + }, + { + "epoch": 0.8536121673003803, + "grad_norm": 0.6688065238182859, + "learning_rate": 1.4184335340737158e-05, + "loss": 0.4155, + "step": 449 + }, + { + "epoch": 0.8555133079847909, + "grad_norm": 0.6983026223100461, + "learning_rate": 1.4154150130018867e-05, + "loss": 0.4221, + "step": 450 + }, + { + "epoch": 0.8574144486692015, + "grad_norm": 0.7431474290668802, + "learning_rate": 1.4123919105189836e-05, + "loss": 0.4298, + "step": 451 + }, + { + "epoch": 0.8593155893536122, + "grad_norm": 0.649594518526619, + "learning_rate": 1.4093642599653406e-05, + "loss": 0.4125, + "step": 452 + }, + { + "epoch": 0.8612167300380228, + "grad_norm": 0.7317869936146294, + "learning_rate": 1.40633209473145e-05, + "loss": 0.4353, + "step": 453 + }, + { + "epoch": 0.8631178707224335, + "grad_norm": 0.7362724141787009, + "learning_rate": 1.4032954482575938e-05, + "loss": 0.4193, + "step": 454 + }, + { + "epoch": 0.8650190114068441, + "grad_norm": 0.6669535303620008, + "learning_rate": 1.4002543540334766e-05, + "loss": 0.4209, + "step": 455 + }, + { + "epoch": 0.8669201520912547, + "grad_norm": 0.8014446637371387, + "learning_rate": 1.3972088455978537e-05, + "loss": 0.4007, + "step": 456 + }, + { + "epoch": 0.8688212927756654, + "grad_norm": 0.6830164460800686, + "learning_rate": 1.3941589565381635e-05, + "loss": 0.4087, + "step": 457 + }, + { + "epoch": 0.870722433460076, + "grad_norm": 0.747393751188262, + "learning_rate": 1.391104720490156e-05, + "loss": 0.4427, + "step": 458 + }, + { + "epoch": 0.8726235741444867, + "grad_norm": 0.7240004489943094, + "learning_rate": 1.3880461711375224e-05, + "loss": 0.3907, + "step": 459 + }, + { + "epoch": 0.8745247148288974, + "grad_norm": 0.6991190446193921, + "learning_rate": 1.3849833422115221e-05, + "loss": 0.4167, + "step": 460 + }, + { + "epoch": 0.876425855513308, + "grad_norm": 0.6709088702982998, + "learning_rate": 1.3819162674906134e-05, + "loss": 0.4109, + "step": 461 + }, + { + "epoch": 0.8783269961977186, + "grad_norm": 0.6383674256937936, + "learning_rate": 1.378844980800078e-05, + "loss": 0.4016, + "step": 462 + }, + { + "epoch": 0.8802281368821293, + "grad_norm": 0.6780481175141266, + "learning_rate": 1.3757695160116502e-05, + "loss": 0.4415, + "step": 463 + }, + { + "epoch": 0.8821292775665399, + "grad_norm": 0.7545521572421436, + "learning_rate": 1.3726899070431423e-05, + "loss": 0.4114, + "step": 464 + }, + { + "epoch": 0.8840304182509505, + "grad_norm": 0.685275430836102, + "learning_rate": 1.3696061878580707e-05, + "loss": 0.4293, + "step": 465 + }, + { + "epoch": 0.8859315589353612, + "grad_norm": 0.7592398931712849, + "learning_rate": 1.3665183924652817e-05, + "loss": 0.4269, + "step": 466 + }, + { + "epoch": 0.8878326996197718, + "grad_norm": 0.7078761240018746, + "learning_rate": 1.3634265549185755e-05, + "loss": 0.3981, + "step": 467 + }, + { + "epoch": 0.8897338403041825, + "grad_norm": 0.6616593551003727, + "learning_rate": 1.3603307093163319e-05, + "loss": 0.4324, + "step": 468 + }, + { + "epoch": 0.8916349809885932, + "grad_norm": 0.8105017143028723, + "learning_rate": 1.3572308898011328e-05, + "loss": 0.4272, + "step": 469 + }, + { + "epoch": 0.8935361216730038, + "grad_norm": 0.7109008731480415, + "learning_rate": 1.3541271305593878e-05, + "loss": 0.4299, + "step": 470 + }, + { + "epoch": 0.8954372623574145, + "grad_norm": 0.729636475666318, + "learning_rate": 1.3510194658209547e-05, + "loss": 0.4128, + "step": 471 + }, + { + "epoch": 0.8973384030418251, + "grad_norm": 0.7329667216343763, + "learning_rate": 1.3479079298587634e-05, + "loss": 0.4028, + "step": 472 + }, + { + "epoch": 0.8992395437262357, + "grad_norm": 0.6731304236118901, + "learning_rate": 1.3447925569884374e-05, + "loss": 0.4071, + "step": 473 + }, + { + "epoch": 0.9011406844106464, + "grad_norm": 0.6658011874277965, + "learning_rate": 1.3416733815679166e-05, + "loss": 0.4209, + "step": 474 + }, + { + "epoch": 0.903041825095057, + "grad_norm": 0.9353383386030673, + "learning_rate": 1.3385504379970764e-05, + "loss": 0.4343, + "step": 475 + }, + { + "epoch": 0.9049429657794676, + "grad_norm": 0.6896577730866533, + "learning_rate": 1.3354237607173494e-05, + "loss": 0.408, + "step": 476 + }, + { + "epoch": 0.9068441064638784, + "grad_norm": 0.7799019761172136, + "learning_rate": 1.3322933842113457e-05, + "loss": 0.4196, + "step": 477 + }, + { + "epoch": 0.908745247148289, + "grad_norm": 0.6980303765076431, + "learning_rate": 1.3291593430024727e-05, + "loss": 0.4028, + "step": 478 + }, + { + "epoch": 0.9106463878326996, + "grad_norm": 0.6425197088129551, + "learning_rate": 1.3260216716545534e-05, + "loss": 0.4141, + "step": 479 + }, + { + "epoch": 0.9125475285171103, + "grad_norm": 0.7098001869403527, + "learning_rate": 1.3228804047714462e-05, + "loss": 0.3955, + "step": 480 + }, + { + "epoch": 0.9144486692015209, + "grad_norm": 0.7337594792132631, + "learning_rate": 1.319735576996663e-05, + "loss": 0.4409, + "step": 481 + }, + { + "epoch": 0.9163498098859315, + "grad_norm": 0.6734545627310691, + "learning_rate": 1.3165872230129869e-05, + "loss": 0.4153, + "step": 482 + }, + { + "epoch": 0.9182509505703422, + "grad_norm": 0.6236575476961407, + "learning_rate": 1.3134353775420895e-05, + "loss": 0.4048, + "step": 483 + }, + { + "epoch": 0.9201520912547528, + "grad_norm": 0.6288528776701348, + "learning_rate": 1.3102800753441488e-05, + "loss": 0.4232, + "step": 484 + }, + { + "epoch": 0.9220532319391636, + "grad_norm": 0.639800204132476, + "learning_rate": 1.3071213512174655e-05, + "loss": 0.3898, + "step": 485 + }, + { + "epoch": 0.9239543726235742, + "grad_norm": 0.6524562190867899, + "learning_rate": 1.3039592399980785e-05, + "loss": 0.3912, + "step": 486 + }, + { + "epoch": 0.9258555133079848, + "grad_norm": 0.6824650027018551, + "learning_rate": 1.3007937765593818e-05, + "loss": 0.4333, + "step": 487 + }, + { + "epoch": 0.9277566539923955, + "grad_norm": 0.6552292730322581, + "learning_rate": 1.2976249958117395e-05, + "loss": 0.4189, + "step": 488 + }, + { + "epoch": 0.9296577946768061, + "grad_norm": 0.7133658504688607, + "learning_rate": 1.2944529327021002e-05, + "loss": 0.4142, + "step": 489 + }, + { + "epoch": 0.9315589353612167, + "grad_norm": 0.6589823172228413, + "learning_rate": 1.291277622213612e-05, + "loss": 0.4051, + "step": 490 + }, + { + "epoch": 0.9334600760456274, + "grad_norm": 0.6232312823034041, + "learning_rate": 1.2880990993652379e-05, + "loss": 0.4127, + "step": 491 + }, + { + "epoch": 0.935361216730038, + "grad_norm": 0.6199813634957917, + "learning_rate": 1.2849173992113669e-05, + "loss": 0.4233, + "step": 492 + }, + { + "epoch": 0.9372623574144486, + "grad_norm": 0.6349721432411458, + "learning_rate": 1.2817325568414299e-05, + "loss": 0.4226, + "step": 493 + }, + { + "epoch": 0.9391634980988594, + "grad_norm": 0.651392535293986, + "learning_rate": 1.2785446073795118e-05, + "loss": 0.406, + "step": 494 + }, + { + "epoch": 0.94106463878327, + "grad_norm": 0.6810702917011978, + "learning_rate": 1.2753535859839638e-05, + "loss": 0.4158, + "step": 495 + }, + { + "epoch": 0.9429657794676806, + "grad_norm": 0.6080923737443408, + "learning_rate": 1.272159527847016e-05, + "loss": 0.3883, + "step": 496 + }, + { + "epoch": 0.9448669201520913, + "grad_norm": 0.6742221447430864, + "learning_rate": 1.2689624681943897e-05, + "loss": 0.4321, + "step": 497 + }, + { + "epoch": 0.9467680608365019, + "grad_norm": 0.6605724695771594, + "learning_rate": 1.2657624422849077e-05, + "loss": 0.4143, + "step": 498 + }, + { + "epoch": 0.9486692015209125, + "grad_norm": 0.6981620511024048, + "learning_rate": 1.2625594854101066e-05, + "loss": 0.4268, + "step": 499 + }, + { + "epoch": 0.9505703422053232, + "grad_norm": 0.733925946123189, + "learning_rate": 1.2593536328938471e-05, + "loss": 0.4195, + "step": 500 + }, + { + "epoch": 0.9524714828897338, + "grad_norm": 0.6411640372135279, + "learning_rate": 1.2561449200919253e-05, + "loss": 0.3944, + "step": 501 + }, + { + "epoch": 0.9543726235741445, + "grad_norm": 0.6886217336459237, + "learning_rate": 1.2529333823916807e-05, + "loss": 0.3955, + "step": 502 + }, + { + "epoch": 0.9562737642585551, + "grad_norm": 0.71390769453024, + "learning_rate": 1.2497190552116082e-05, + "loss": 0.4382, + "step": 503 + }, + { + "epoch": 0.9581749049429658, + "grad_norm": 0.7074739965381804, + "learning_rate": 1.2465019740009662e-05, + "loss": 0.4018, + "step": 504 + }, + { + "epoch": 0.9600760456273765, + "grad_norm": 0.6524668330978645, + "learning_rate": 1.2432821742393854e-05, + "loss": 0.4168, + "step": 505 + }, + { + "epoch": 0.9619771863117871, + "grad_norm": 0.6118329112192084, + "learning_rate": 1.2400596914364792e-05, + "loss": 0.4059, + "step": 506 + }, + { + "epoch": 0.9638783269961977, + "grad_norm": 0.721209861200704, + "learning_rate": 1.2368345611314508e-05, + "loss": 0.4199, + "step": 507 + }, + { + "epoch": 0.9657794676806084, + "grad_norm": 0.7079320417430721, + "learning_rate": 1.2336068188927002e-05, + "loss": 0.3906, + "step": 508 + }, + { + "epoch": 0.967680608365019, + "grad_norm": 0.6476464948749265, + "learning_rate": 1.2303765003174342e-05, + "loss": 0.415, + "step": 509 + }, + { + "epoch": 0.9695817490494296, + "grad_norm": 0.6601627816624424, + "learning_rate": 1.2271436410312727e-05, + "loss": 0.4267, + "step": 510 + }, + { + "epoch": 0.9714828897338403, + "grad_norm": 0.6900159137712154, + "learning_rate": 1.2239082766878557e-05, + "loss": 0.43, + "step": 511 + }, + { + "epoch": 0.973384030418251, + "grad_norm": 0.712273024419061, + "learning_rate": 1.2206704429684504e-05, + "loss": 0.4225, + "step": 512 + }, + { + "epoch": 0.9752851711026616, + "grad_norm": 0.6385658937621382, + "learning_rate": 1.2174301755815572e-05, + "loss": 0.4175, + "step": 513 + }, + { + "epoch": 0.9771863117870723, + "grad_norm": 0.6355968844808271, + "learning_rate": 1.2141875102625166e-05, + "loss": 0.4017, + "step": 514 + }, + { + "epoch": 0.9790874524714829, + "grad_norm": 0.6470140865764977, + "learning_rate": 1.2109424827731144e-05, + "loss": 0.4285, + "step": 515 + }, + { + "epoch": 0.9809885931558935, + "grad_norm": 0.6750781376433499, + "learning_rate": 1.2076951289011884e-05, + "loss": 0.4266, + "step": 516 + }, + { + "epoch": 0.9828897338403042, + "grad_norm": 0.6570847600473237, + "learning_rate": 1.204445484460232e-05, + "loss": 0.4047, + "step": 517 + }, + { + "epoch": 0.9847908745247148, + "grad_norm": 0.7352187375826484, + "learning_rate": 1.2011935852890004e-05, + "loss": 0.4271, + "step": 518 + }, + { + "epoch": 0.9866920152091255, + "grad_norm": 0.6931413338165016, + "learning_rate": 1.1979394672511156e-05, + "loss": 0.3927, + "step": 519 + }, + { + "epoch": 0.9885931558935361, + "grad_norm": 0.7235855925121836, + "learning_rate": 1.19468316623467e-05, + "loss": 0.4325, + "step": 520 + }, + { + "epoch": 0.9904942965779467, + "grad_norm": 0.6904833269511884, + "learning_rate": 1.1914247181518312e-05, + "loss": 0.41, + "step": 521 + }, + { + "epoch": 0.9923954372623575, + "grad_norm": 0.657682870441457, + "learning_rate": 1.1881641589384456e-05, + "loss": 0.4188, + "step": 522 + }, + { + "epoch": 0.9942965779467681, + "grad_norm": 0.7231004563775573, + "learning_rate": 1.1849015245536424e-05, + "loss": 0.4149, + "step": 523 + }, + { + "epoch": 0.9961977186311787, + "grad_norm": 0.6711094774061731, + "learning_rate": 1.1816368509794365e-05, + "loss": 0.4153, + "step": 524 + }, + { + "epoch": 0.9980988593155894, + "grad_norm": 0.6202574132265527, + "learning_rate": 1.1783701742203326e-05, + "loss": 0.3902, + "step": 525 + }, + { + "epoch": 1.0, + "grad_norm": 0.6617349524192438, + "learning_rate": 1.1751015303029272e-05, + "loss": 0.4016, + "step": 526 + }, + { + "epoch": 1.0019011406844107, + "grad_norm": 0.8057778037455804, + "learning_rate": 1.1718309552755118e-05, + "loss": 0.3187, + "step": 527 + }, + { + "epoch": 1.0038022813688212, + "grad_norm": 0.7412544361222694, + "learning_rate": 1.1685584852076746e-05, + "loss": 0.3223, + "step": 528 + }, + { + "epoch": 1.005703422053232, + "grad_norm": 0.6759672537804652, + "learning_rate": 1.1652841561899042e-05, + "loss": 0.3155, + "step": 529 + }, + { + "epoch": 1.0076045627376427, + "grad_norm": 0.6748507054648835, + "learning_rate": 1.1620080043331901e-05, + "loss": 0.3138, + "step": 530 + }, + { + "epoch": 1.0095057034220531, + "grad_norm": 0.7942237928890288, + "learning_rate": 1.1587300657686254e-05, + "loss": 0.3157, + "step": 531 + }, + { + "epoch": 1.0114068441064639, + "grad_norm": 0.8846230582484171, + "learning_rate": 1.1554503766470069e-05, + "loss": 0.3246, + "step": 532 + }, + { + "epoch": 1.0133079847908746, + "grad_norm": 0.8119792512496486, + "learning_rate": 1.1521689731384391e-05, + "loss": 0.329, + "step": 533 + }, + { + "epoch": 1.015209125475285, + "grad_norm": 0.7923034561211636, + "learning_rate": 1.1488858914319321e-05, + "loss": 0.3258, + "step": 534 + }, + { + "epoch": 1.0171102661596958, + "grad_norm": 0.7160112870308005, + "learning_rate": 1.1456011677350052e-05, + "loss": 0.2977, + "step": 535 + }, + { + "epoch": 1.0190114068441065, + "grad_norm": 0.7609695163084949, + "learning_rate": 1.1423148382732854e-05, + "loss": 0.3204, + "step": 536 + }, + { + "epoch": 1.020912547528517, + "grad_norm": 0.8209869237400179, + "learning_rate": 1.1390269392901096e-05, + "loss": 0.3086, + "step": 537 + }, + { + "epoch": 1.0228136882129277, + "grad_norm": 0.6678411394993501, + "learning_rate": 1.1357375070461241e-05, + "loss": 0.3067, + "step": 538 + }, + { + "epoch": 1.0247148288973384, + "grad_norm": 0.717364650068582, + "learning_rate": 1.1324465778188846e-05, + "loss": 0.3082, + "step": 539 + }, + { + "epoch": 1.026615969581749, + "grad_norm": 0.7308942230333575, + "learning_rate": 1.1291541879024568e-05, + "loss": 0.3226, + "step": 540 + }, + { + "epoch": 1.0285171102661597, + "grad_norm": 0.6456359302870989, + "learning_rate": 1.1258603736070145e-05, + "loss": 0.2919, + "step": 541 + }, + { + "epoch": 1.0304182509505704, + "grad_norm": 0.710931548787735, + "learning_rate": 1.1225651712584413e-05, + "loss": 0.3099, + "step": 542 + }, + { + "epoch": 1.032319391634981, + "grad_norm": 0.709785246141236, + "learning_rate": 1.1192686171979288e-05, + "loss": 0.3099, + "step": 543 + }, + { + "epoch": 1.0342205323193916, + "grad_norm": 0.6981605328190861, + "learning_rate": 1.1159707477815756e-05, + "loss": 0.2905, + "step": 544 + }, + { + "epoch": 1.0361216730038023, + "grad_norm": 0.7170936209092622, + "learning_rate": 1.1126715993799875e-05, + "loss": 0.3083, + "step": 545 + }, + { + "epoch": 1.038022813688213, + "grad_norm": 0.7004979207806828, + "learning_rate": 1.1093712083778748e-05, + "loss": 0.2983, + "step": 546 + }, + { + "epoch": 1.0399239543726235, + "grad_norm": 0.7458192529204735, + "learning_rate": 1.1060696111736515e-05, + "loss": 0.3127, + "step": 547 + }, + { + "epoch": 1.0418250950570342, + "grad_norm": 0.6809556078021375, + "learning_rate": 1.1027668441790358e-05, + "loss": 0.3101, + "step": 548 + }, + { + "epoch": 1.043726235741445, + "grad_norm": 0.7008889965178042, + "learning_rate": 1.099462943818646e-05, + "loss": 0.3134, + "step": 549 + }, + { + "epoch": 1.0456273764258555, + "grad_norm": 0.7110253244715296, + "learning_rate": 1.0961579465295987e-05, + "loss": 0.3049, + "step": 550 + }, + { + "epoch": 1.0475285171102662, + "grad_norm": 0.7227214280209071, + "learning_rate": 1.0928518887611099e-05, + "loss": 0.3207, + "step": 551 + }, + { + "epoch": 1.049429657794677, + "grad_norm": 0.7033243845953586, + "learning_rate": 1.0895448069740902e-05, + "loss": 0.3135, + "step": 552 + }, + { + "epoch": 1.0513307984790874, + "grad_norm": 0.6612026608935847, + "learning_rate": 1.0862367376407433e-05, + "loss": 0.2978, + "step": 553 + }, + { + "epoch": 1.053231939163498, + "grad_norm": 0.7131320163927526, + "learning_rate": 1.0829277172441648e-05, + "loss": 0.3062, + "step": 554 + }, + { + "epoch": 1.0551330798479088, + "grad_norm": 0.664005238252551, + "learning_rate": 1.0796177822779384e-05, + "loss": 0.2869, + "step": 555 + }, + { + "epoch": 1.0570342205323193, + "grad_norm": 0.710722241160985, + "learning_rate": 1.0763069692457346e-05, + "loss": 0.305, + "step": 556 + }, + { + "epoch": 1.05893536121673, + "grad_norm": 0.7385112551354895, + "learning_rate": 1.0729953146609076e-05, + "loss": 0.3093, + "step": 557 + }, + { + "epoch": 1.0608365019011408, + "grad_norm": 0.7376687467676918, + "learning_rate": 1.0696828550460928e-05, + "loss": 0.3052, + "step": 558 + }, + { + "epoch": 1.0627376425855513, + "grad_norm": 0.7303436532923512, + "learning_rate": 1.0663696269328034e-05, + "loss": 0.3112, + "step": 559 + }, + { + "epoch": 1.064638783269962, + "grad_norm": 0.7359671930671974, + "learning_rate": 1.0630556668610286e-05, + "loss": 0.297, + "step": 560 + }, + { + "epoch": 1.0665399239543727, + "grad_norm": 0.6970657334385685, + "learning_rate": 1.059741011378829e-05, + "loss": 0.2971, + "step": 561 + }, + { + "epoch": 1.0684410646387832, + "grad_norm": 0.8377867831844311, + "learning_rate": 1.0564256970419367e-05, + "loss": 0.308, + "step": 562 + }, + { + "epoch": 1.070342205323194, + "grad_norm": 0.7630566782196169, + "learning_rate": 1.0531097604133473e-05, + "loss": 0.3187, + "step": 563 + }, + { + "epoch": 1.0722433460076046, + "grad_norm": 0.7216293225087548, + "learning_rate": 1.0497932380629207e-05, + "loss": 0.3048, + "step": 564 + }, + { + "epoch": 1.0741444866920151, + "grad_norm": 0.6991326562987921, + "learning_rate": 1.0464761665669771e-05, + "loss": 0.3048, + "step": 565 + }, + { + "epoch": 1.0760456273764258, + "grad_norm": 0.7401360213714921, + "learning_rate": 1.0431585825078916e-05, + "loss": 0.3, + "step": 566 + }, + { + "epoch": 1.0779467680608366, + "grad_norm": 0.7119732505776465, + "learning_rate": 1.0398405224736927e-05, + "loss": 0.3079, + "step": 567 + }, + { + "epoch": 1.079847908745247, + "grad_norm": 0.6702960479673759, + "learning_rate": 1.0365220230576592e-05, + "loss": 0.2958, + "step": 568 + }, + { + "epoch": 1.0817490494296578, + "grad_norm": 0.7760420851621637, + "learning_rate": 1.0332031208579133e-05, + "loss": 0.3184, + "step": 569 + }, + { + "epoch": 1.0836501901140685, + "grad_norm": 0.7040112198402739, + "learning_rate": 1.0298838524770212e-05, + "loss": 0.2977, + "step": 570 + }, + { + "epoch": 1.085551330798479, + "grad_norm": 0.8414411669683015, + "learning_rate": 1.0265642545215872e-05, + "loss": 0.3058, + "step": 571 + }, + { + "epoch": 1.0874524714828897, + "grad_norm": 0.7133845249788654, + "learning_rate": 1.0232443636018502e-05, + "loss": 0.3194, + "step": 572 + }, + { + "epoch": 1.0893536121673004, + "grad_norm": 0.7206672256867014, + "learning_rate": 1.0199242163312794e-05, + "loss": 0.2917, + "step": 573 + }, + { + "epoch": 1.091254752851711, + "grad_norm": 0.7211983943219695, + "learning_rate": 1.0166038493261723e-05, + "loss": 0.2984, + "step": 574 + }, + { + "epoch": 1.0931558935361216, + "grad_norm": 0.7848732891201756, + "learning_rate": 1.013283299205249e-05, + "loss": 0.3047, + "step": 575 + }, + { + "epoch": 1.0950570342205324, + "grad_norm": 0.7107276063558873, + "learning_rate": 1.0099626025892491e-05, + "loss": 0.2959, + "step": 576 + }, + { + "epoch": 1.0969581749049429, + "grad_norm": 0.7819807312757199, + "learning_rate": 1.0066417961005283e-05, + "loss": 0.3048, + "step": 577 + }, + { + "epoch": 1.0988593155893536, + "grad_norm": 0.7701205978214283, + "learning_rate": 1.0033209163626539e-05, + "loss": 0.3097, + "step": 578 + }, + { + "epoch": 1.1007604562737643, + "grad_norm": 0.7143090612824017, + "learning_rate": 1e-05, + "loss": 0.3047, + "step": 579 + }, + { + "epoch": 1.102661596958175, + "grad_norm": 0.6977877502703614, + "learning_rate": 9.966790836373465e-06, + "loss": 0.2967, + "step": 580 + }, + { + "epoch": 1.1045627376425855, + "grad_norm": 0.7325169357445763, + "learning_rate": 9.933582038994719e-06, + "loss": 0.3089, + "step": 581 + }, + { + "epoch": 1.1064638783269962, + "grad_norm": 0.7797264597989865, + "learning_rate": 9.90037397410751e-06, + "loss": 0.3182, + "step": 582 + }, + { + "epoch": 1.108365019011407, + "grad_norm": 0.691480912342788, + "learning_rate": 9.867167007947511e-06, + "loss": 0.3061, + "step": 583 + }, + { + "epoch": 1.1102661596958174, + "grad_norm": 0.7647706154047912, + "learning_rate": 9.833961506738282e-06, + "loss": 0.3098, + "step": 584 + }, + { + "epoch": 1.1121673003802282, + "grad_norm": 0.7408774853222746, + "learning_rate": 9.80075783668721e-06, + "loss": 0.3033, + "step": 585 + }, + { + "epoch": 1.1140684410646389, + "grad_norm": 0.706168988750185, + "learning_rate": 9.767556363981503e-06, + "loss": 0.3132, + "step": 586 + }, + { + "epoch": 1.1159695817490494, + "grad_norm": 0.6845698316441193, + "learning_rate": 9.734357454784131e-06, + "loss": 0.2956, + "step": 587 + }, + { + "epoch": 1.11787072243346, + "grad_norm": 0.694173196508064, + "learning_rate": 9.701161475229791e-06, + "loss": 0.2985, + "step": 588 + }, + { + "epoch": 1.1197718631178708, + "grad_norm": 0.7016885297787291, + "learning_rate": 9.66796879142087e-06, + "loss": 0.2982, + "step": 589 + }, + { + "epoch": 1.1216730038022813, + "grad_norm": 0.671261859470996, + "learning_rate": 9.634779769423412e-06, + "loss": 0.2882, + "step": 590 + }, + { + "epoch": 1.123574144486692, + "grad_norm": 0.6854874511537371, + "learning_rate": 9.601594775263073e-06, + "loss": 0.2983, + "step": 591 + }, + { + "epoch": 1.1254752851711027, + "grad_norm": 0.7821572101680239, + "learning_rate": 9.568414174921085e-06, + "loss": 0.3194, + "step": 592 + }, + { + "epoch": 1.1273764258555132, + "grad_norm": 0.6835974832450535, + "learning_rate": 9.535238334330234e-06, + "loss": 0.3013, + "step": 593 + }, + { + "epoch": 1.129277566539924, + "grad_norm": 0.7334415902163285, + "learning_rate": 9.502067619370794e-06, + "loss": 0.3072, + "step": 594 + }, + { + "epoch": 1.1311787072243347, + "grad_norm": 0.7023121640065046, + "learning_rate": 9.468902395866532e-06, + "loss": 0.2983, + "step": 595 + }, + { + "epoch": 1.1330798479087452, + "grad_norm": 0.710876287872261, + "learning_rate": 9.435743029580638e-06, + "loss": 0.2965, + "step": 596 + }, + { + "epoch": 1.1349809885931559, + "grad_norm": 0.6770817288289162, + "learning_rate": 9.402589886211711e-06, + "loss": 0.299, + "step": 597 + }, + { + "epoch": 1.1368821292775666, + "grad_norm": 0.7171551789560907, + "learning_rate": 9.369443331389718e-06, + "loss": 0.307, + "step": 598 + }, + { + "epoch": 1.138783269961977, + "grad_norm": 0.7696635987347414, + "learning_rate": 9.336303730671968e-06, + "loss": 0.3021, + "step": 599 + }, + { + "epoch": 1.1406844106463878, + "grad_norm": 0.7307664549367932, + "learning_rate": 9.303171449539074e-06, + "loss": 0.3225, + "step": 600 + }, + { + "epoch": 1.1425855513307985, + "grad_norm": 0.6670746579644035, + "learning_rate": 9.270046853390924e-06, + "loss": 0.2949, + "step": 601 + }, + { + "epoch": 1.144486692015209, + "grad_norm": 0.7336106974079709, + "learning_rate": 9.236930307542654e-06, + "loss": 0.2993, + "step": 602 + }, + { + "epoch": 1.1463878326996197, + "grad_norm": 0.7094233409607221, + "learning_rate": 9.203822177220621e-06, + "loss": 0.2877, + "step": 603 + }, + { + "epoch": 1.1482889733840305, + "grad_norm": 0.7982822716997209, + "learning_rate": 9.170722827558357e-06, + "loss": 0.3039, + "step": 604 + }, + { + "epoch": 1.1501901140684412, + "grad_norm": 0.7184238380620656, + "learning_rate": 9.13763262359257e-06, + "loss": 0.316, + "step": 605 + }, + { + "epoch": 1.1520912547528517, + "grad_norm": 0.7690930696895716, + "learning_rate": 9.104551930259101e-06, + "loss": 0.3076, + "step": 606 + }, + { + "epoch": 1.1539923954372624, + "grad_norm": 0.7418742541581451, + "learning_rate": 9.071481112388905e-06, + "loss": 0.3135, + "step": 607 + }, + { + "epoch": 1.1558935361216731, + "grad_norm": 0.6613978970230133, + "learning_rate": 9.038420534704015e-06, + "loss": 0.2972, + "step": 608 + }, + { + "epoch": 1.1577946768060836, + "grad_norm": 0.8092191953773207, + "learning_rate": 9.005370561813545e-06, + "loss": 0.3195, + "step": 609 + }, + { + "epoch": 1.1596958174904943, + "grad_norm": 0.7189809866365593, + "learning_rate": 8.972331558209644e-06, + "loss": 0.3097, + "step": 610 + }, + { + "epoch": 1.161596958174905, + "grad_norm": 0.6821296213837992, + "learning_rate": 8.939303888263485e-06, + "loss": 0.3026, + "step": 611 + }, + { + "epoch": 1.1634980988593155, + "grad_norm": 0.7512975816311926, + "learning_rate": 8.906287916221259e-06, + "loss": 0.3063, + "step": 612 + }, + { + "epoch": 1.1653992395437263, + "grad_norm": 0.777050746487349, + "learning_rate": 8.873284006200129e-06, + "loss": 0.3079, + "step": 613 + }, + { + "epoch": 1.167300380228137, + "grad_norm": 0.7646375380503718, + "learning_rate": 8.840292522184247e-06, + "loss": 0.2944, + "step": 614 + }, + { + "epoch": 1.1692015209125475, + "grad_norm": 0.8221348922593711, + "learning_rate": 8.807313828020715e-06, + "loss": 0.3196, + "step": 615 + }, + { + "epoch": 1.1711026615969582, + "grad_norm": 0.7522833675209694, + "learning_rate": 8.774348287415589e-06, + "loss": 0.316, + "step": 616 + }, + { + "epoch": 1.173003802281369, + "grad_norm": 0.8154761032618316, + "learning_rate": 8.74139626392986e-06, + "loss": 0.3217, + "step": 617 + }, + { + "epoch": 1.1749049429657794, + "grad_norm": 0.8688973359280431, + "learning_rate": 8.708458120975436e-06, + "loss": 0.3064, + "step": 618 + }, + { + "epoch": 1.1768060836501901, + "grad_norm": 0.7893218637035048, + "learning_rate": 8.675534221811156e-06, + "loss": 0.2924, + "step": 619 + }, + { + "epoch": 1.1787072243346008, + "grad_norm": 0.7593175709146341, + "learning_rate": 8.64262492953876e-06, + "loss": 0.2875, + "step": 620 + }, + { + "epoch": 1.1806083650190113, + "grad_norm": 0.8980922553762621, + "learning_rate": 8.60973060709891e-06, + "loss": 0.3258, + "step": 621 + }, + { + "epoch": 1.182509505703422, + "grad_norm": 0.7304724224689862, + "learning_rate": 8.576851617267151e-06, + "loss": 0.3032, + "step": 622 + }, + { + "epoch": 1.1844106463878328, + "grad_norm": 0.8233977368402046, + "learning_rate": 8.543988322649954e-06, + "loss": 0.3366, + "step": 623 + }, + { + "epoch": 1.1863117870722433, + "grad_norm": 0.86410400296458, + "learning_rate": 8.511141085680684e-06, + "loss": 0.3061, + "step": 624 + }, + { + "epoch": 1.188212927756654, + "grad_norm": 0.7817658025550973, + "learning_rate": 8.478310268615612e-06, + "loss": 0.3153, + "step": 625 + }, + { + "epoch": 1.1901140684410647, + "grad_norm": 0.694440893239606, + "learning_rate": 8.445496233529934e-06, + "loss": 0.302, + "step": 626 + }, + { + "epoch": 1.1920152091254752, + "grad_norm": 0.8118544238253723, + "learning_rate": 8.41269934231375e-06, + "loss": 0.3164, + "step": 627 + }, + { + "epoch": 1.193916349809886, + "grad_norm": 0.7335133540539855, + "learning_rate": 8.3799199566681e-06, + "loss": 0.2839, + "step": 628 + }, + { + "epoch": 1.1958174904942966, + "grad_norm": 0.6745989690142823, + "learning_rate": 8.34715843810096e-06, + "loss": 0.2995, + "step": 629 + }, + { + "epoch": 1.1977186311787071, + "grad_norm": 0.8381464598125277, + "learning_rate": 8.314415147923254e-06, + "loss": 0.3058, + "step": 630 + }, + { + "epoch": 1.1996197718631179, + "grad_norm": 0.7575646214083855, + "learning_rate": 8.281690447244887e-06, + "loss": 0.3019, + "step": 631 + }, + { + "epoch": 1.2015209125475286, + "grad_norm": 0.7435604650444324, + "learning_rate": 8.248984696970732e-06, + "loss": 0.3098, + "step": 632 + }, + { + "epoch": 1.203422053231939, + "grad_norm": 0.7167627487804589, + "learning_rate": 8.216298257796677e-06, + "loss": 0.3171, + "step": 633 + }, + { + "epoch": 1.2053231939163498, + "grad_norm": 0.7462508343456407, + "learning_rate": 8.183631490205636e-06, + "loss": 0.2934, + "step": 634 + }, + { + "epoch": 1.2072243346007605, + "grad_norm": 0.7154974983480035, + "learning_rate": 8.150984754463578e-06, + "loss": 0.3052, + "step": 635 + }, + { + "epoch": 1.209125475285171, + "grad_norm": 0.6898714738388552, + "learning_rate": 8.118358410615545e-06, + "loss": 0.2986, + "step": 636 + }, + { + "epoch": 1.2110266159695817, + "grad_norm": 0.6530010169738768, + "learning_rate": 8.08575281848169e-06, + "loss": 0.2966, + "step": 637 + }, + { + "epoch": 1.2129277566539924, + "grad_norm": 0.8505752537538249, + "learning_rate": 8.0531683376533e-06, + "loss": 0.2921, + "step": 638 + }, + { + "epoch": 1.214828897338403, + "grad_norm": 0.7330205322721064, + "learning_rate": 8.020605327488846e-06, + "loss": 0.3058, + "step": 639 + }, + { + "epoch": 1.2167300380228137, + "grad_norm": 0.7267873762157572, + "learning_rate": 7.988064147110001e-06, + "loss": 0.3081, + "step": 640 + }, + { + "epoch": 1.2186311787072244, + "grad_norm": 0.6966326168204822, + "learning_rate": 7.955545155397684e-06, + "loss": 0.3145, + "step": 641 + }, + { + "epoch": 1.2205323193916349, + "grad_norm": 0.9097554173815025, + "learning_rate": 7.923048710988119e-06, + "loss": 0.3009, + "step": 642 + }, + { + "epoch": 1.2224334600760456, + "grad_norm": 0.7049115761028015, + "learning_rate": 7.890575172268858e-06, + "loss": 0.3218, + "step": 643 + }, + { + "epoch": 1.2243346007604563, + "grad_norm": 0.7129588056676595, + "learning_rate": 7.858124897374837e-06, + "loss": 0.2984, + "step": 644 + }, + { + "epoch": 1.2262357414448668, + "grad_norm": 0.7963167616618384, + "learning_rate": 7.825698244184432e-06, + "loss": 0.2949, + "step": 645 + }, + { + "epoch": 1.2281368821292775, + "grad_norm": 0.6759179001734439, + "learning_rate": 7.7932955703155e-06, + "loss": 0.2982, + "step": 646 + }, + { + "epoch": 1.2300380228136882, + "grad_norm": 0.7573382452877564, + "learning_rate": 7.760917233121443e-06, + "loss": 0.3083, + "step": 647 + }, + { + "epoch": 1.231939163498099, + "grad_norm": 0.6940656389472214, + "learning_rate": 7.728563589687275e-06, + "loss": 0.292, + "step": 648 + }, + { + "epoch": 1.2338403041825095, + "grad_norm": 0.7056323073620804, + "learning_rate": 7.696234996825663e-06, + "loss": 0.3163, + "step": 649 + }, + { + "epoch": 1.2357414448669202, + "grad_norm": 0.6974380407254572, + "learning_rate": 7.663931811073003e-06, + "loss": 0.2928, + "step": 650 + }, + { + "epoch": 1.2376425855513309, + "grad_norm": 0.7473566725707713, + "learning_rate": 7.631654388685496e-06, + "loss": 0.3041, + "step": 651 + }, + { + "epoch": 1.2395437262357414, + "grad_norm": 0.7183279057715524, + "learning_rate": 7.599403085635208e-06, + "loss": 0.3049, + "step": 652 + }, + { + "epoch": 1.241444866920152, + "grad_norm": 0.7046573585481826, + "learning_rate": 7.567178257606147e-06, + "loss": 0.3112, + "step": 653 + }, + { + "epoch": 1.2433460076045628, + "grad_norm": 0.6756411836040294, + "learning_rate": 7.534980259990341e-06, + "loss": 0.2894, + "step": 654 + }, + { + "epoch": 1.2452471482889733, + "grad_norm": 0.7608364012151083, + "learning_rate": 7.50280944788392e-06, + "loss": 0.2899, + "step": 655 + }, + { + "epoch": 1.247148288973384, + "grad_norm": 0.7426259981955133, + "learning_rate": 7.470666176083193e-06, + "loss": 0.3245, + "step": 656 + }, + { + "epoch": 1.2490494296577948, + "grad_norm": 0.7713819448065024, + "learning_rate": 7.438550799080746e-06, + "loss": 0.3127, + "step": 657 + }, + { + "epoch": 1.2509505703422052, + "grad_norm": 0.6642612786558842, + "learning_rate": 7.40646367106153e-06, + "loss": 0.2938, + "step": 658 + }, + { + "epoch": 1.252851711026616, + "grad_norm": 0.7015151327909261, + "learning_rate": 7.3744051458989395e-06, + "loss": 0.3032, + "step": 659 + }, + { + "epoch": 1.2547528517110267, + "grad_norm": 0.6794629279222151, + "learning_rate": 7.342375577150928e-06, + "loss": 0.3053, + "step": 660 + }, + { + "epoch": 1.2566539923954372, + "grad_norm": 0.7081692819708384, + "learning_rate": 7.310375318056107e-06, + "loss": 0.3093, + "step": 661 + }, + { + "epoch": 1.258555133079848, + "grad_norm": 0.7096565729039336, + "learning_rate": 7.278404721529843e-06, + "loss": 0.3039, + "step": 662 + }, + { + "epoch": 1.2604562737642586, + "grad_norm": 0.6639021034892703, + "learning_rate": 7.246464140160365e-06, + "loss": 0.295, + "step": 663 + }, + { + "epoch": 1.2623574144486693, + "grad_norm": 0.7307583245777143, + "learning_rate": 7.214553926204884e-06, + "loss": 0.299, + "step": 664 + }, + { + "epoch": 1.2642585551330798, + "grad_norm": 0.7082822508579133, + "learning_rate": 7.182674431585703e-06, + "loss": 0.311, + "step": 665 + }, + { + "epoch": 1.2661596958174905, + "grad_norm": 0.735574814254584, + "learning_rate": 7.150826007886334e-06, + "loss": 0.3014, + "step": 666 + }, + { + "epoch": 1.2680608365019013, + "grad_norm": 0.7155412097523799, + "learning_rate": 7.119009006347625e-06, + "loss": 0.2934, + "step": 667 + }, + { + "epoch": 1.2699619771863118, + "grad_norm": 0.8503906914668881, + "learning_rate": 7.087223777863883e-06, + "loss": 0.3002, + "step": 668 + }, + { + "epoch": 1.2718631178707225, + "grad_norm": 0.7317049648164148, + "learning_rate": 7.055470672979003e-06, + "loss": 0.3119, + "step": 669 + }, + { + "epoch": 1.2737642585551332, + "grad_norm": 0.7526826129990981, + "learning_rate": 7.023750041882609e-06, + "loss": 0.3034, + "step": 670 + }, + { + "epoch": 1.2756653992395437, + "grad_norm": 0.7179155137470628, + "learning_rate": 6.992062234406185e-06, + "loss": 0.2979, + "step": 671 + }, + { + "epoch": 1.2775665399239544, + "grad_norm": 0.7304272247414944, + "learning_rate": 6.960407600019217e-06, + "loss": 0.2917, + "step": 672 + }, + { + "epoch": 1.2794676806083651, + "grad_norm": 0.666440944008466, + "learning_rate": 6.9287864878253475e-06, + "loss": 0.304, + "step": 673 + }, + { + "epoch": 1.2813688212927756, + "grad_norm": 0.7567439567280311, + "learning_rate": 6.897199246558515e-06, + "loss": 0.2993, + "step": 674 + }, + { + "epoch": 1.2832699619771863, + "grad_norm": 0.7406618429380093, + "learning_rate": 6.865646224579108e-06, + "loss": 0.3043, + "step": 675 + }, + { + "epoch": 1.285171102661597, + "grad_norm": 0.7099246090446435, + "learning_rate": 6.834127769870134e-06, + "loss": 0.3055, + "step": 676 + }, + { + "epoch": 1.2870722433460076, + "grad_norm": 0.6813660057296255, + "learning_rate": 6.802644230033373e-06, + "loss": 0.3011, + "step": 677 + }, + { + "epoch": 1.2889733840304183, + "grad_norm": 0.853660463302684, + "learning_rate": 6.771195952285541e-06, + "loss": 0.289, + "step": 678 + }, + { + "epoch": 1.290874524714829, + "grad_norm": 0.7242910664133385, + "learning_rate": 6.739783283454469e-06, + "loss": 0.3112, + "step": 679 + }, + { + "epoch": 1.2927756653992395, + "grad_norm": 0.6443547749166783, + "learning_rate": 6.708406569975274e-06, + "loss": 0.2833, + "step": 680 + }, + { + "epoch": 1.2946768060836502, + "grad_norm": 0.762825451488999, + "learning_rate": 6.6770661578865444e-06, + "loss": 0.2944, + "step": 681 + }, + { + "epoch": 1.296577946768061, + "grad_norm": 0.6937039172160832, + "learning_rate": 6.645762392826509e-06, + "loss": 0.3039, + "step": 682 + }, + { + "epoch": 1.2984790874524714, + "grad_norm": 0.7383138000780872, + "learning_rate": 6.614495620029238e-06, + "loss": 0.3024, + "step": 683 + }, + { + "epoch": 1.3003802281368821, + "grad_norm": 0.7236208230569622, + "learning_rate": 6.583266184320836e-06, + "loss": 0.2987, + "step": 684 + }, + { + "epoch": 1.3022813688212929, + "grad_norm": 0.8299080227359633, + "learning_rate": 6.552074430115624e-06, + "loss": 0.309, + "step": 685 + }, + { + "epoch": 1.3041825095057034, + "grad_norm": 0.6856495650584966, + "learning_rate": 6.520920701412371e-06, + "loss": 0.2903, + "step": 686 + }, + { + "epoch": 1.306083650190114, + "grad_norm": 0.7207431004345501, + "learning_rate": 6.489805341790456e-06, + "loss": 0.3076, + "step": 687 + }, + { + "epoch": 1.3079847908745248, + "grad_norm": 0.7410055528146177, + "learning_rate": 6.458728694406124e-06, + "loss": 0.3146, + "step": 688 + }, + { + "epoch": 1.3098859315589353, + "grad_norm": 0.6688534205235728, + "learning_rate": 6.427691101988673e-06, + "loss": 0.2979, + "step": 689 + }, + { + "epoch": 1.311787072243346, + "grad_norm": 0.7198478551346036, + "learning_rate": 6.396692906836686e-06, + "loss": 0.3182, + "step": 690 + }, + { + "epoch": 1.3136882129277567, + "grad_norm": 0.682083131568912, + "learning_rate": 6.3657344508142495e-06, + "loss": 0.2979, + "step": 691 + }, + { + "epoch": 1.3155893536121672, + "grad_norm": 0.6714840051274571, + "learning_rate": 6.334816075347185e-06, + "loss": 0.2861, + "step": 692 + }, + { + "epoch": 1.317490494296578, + "grad_norm": 0.689820875056291, + "learning_rate": 6.303938121419295e-06, + "loss": 0.294, + "step": 693 + }, + { + "epoch": 1.3193916349809887, + "grad_norm": 0.7147144533712376, + "learning_rate": 6.273100929568579e-06, + "loss": 0.3075, + "step": 694 + }, + { + "epoch": 1.3212927756653992, + "grad_norm": 0.7067187637747501, + "learning_rate": 6.242304839883502e-06, + "loss": 0.2904, + "step": 695 + }, + { + "epoch": 1.3231939163498099, + "grad_norm": 0.6776239862253831, + "learning_rate": 6.211550191999223e-06, + "loss": 0.3018, + "step": 696 + }, + { + "epoch": 1.3250950570342206, + "grad_norm": 0.730336121728125, + "learning_rate": 6.18083732509387e-06, + "loss": 0.3177, + "step": 697 + }, + { + "epoch": 1.326996197718631, + "grad_norm": 0.7125893145513373, + "learning_rate": 6.150166577884781e-06, + "loss": 0.3036, + "step": 698 + }, + { + "epoch": 1.3288973384030418, + "grad_norm": 0.7489275099996262, + "learning_rate": 6.119538288624778e-06, + "loss": 0.2921, + "step": 699 + }, + { + "epoch": 1.3307984790874525, + "grad_norm": 0.7024670259807829, + "learning_rate": 6.088952795098442e-06, + "loss": 0.3008, + "step": 700 + }, + { + "epoch": 1.332699619771863, + "grad_norm": 0.7617691476961448, + "learning_rate": 6.058410434618367e-06, + "loss": 0.3009, + "step": 701 + }, + { + "epoch": 1.3346007604562737, + "grad_norm": 0.6601387274434397, + "learning_rate": 6.027911544021465e-06, + "loss": 0.2883, + "step": 702 + }, + { + "epoch": 1.3365019011406845, + "grad_norm": 0.689628809732374, + "learning_rate": 5.997456459665237e-06, + "loss": 0.3042, + "step": 703 + }, + { + "epoch": 1.338403041825095, + "grad_norm": 0.6895061062232118, + "learning_rate": 5.967045517424062e-06, + "loss": 0.2984, + "step": 704 + }, + { + "epoch": 1.3403041825095057, + "grad_norm": 0.8624163150166511, + "learning_rate": 5.936679052685505e-06, + "loss": 0.3095, + "step": 705 + }, + { + "epoch": 1.3422053231939164, + "grad_norm": 0.7472202016568489, + "learning_rate": 5.906357400346596e-06, + "loss": 0.3074, + "step": 706 + }, + { + "epoch": 1.3441064638783269, + "grad_norm": 0.6837283010758579, + "learning_rate": 5.876080894810167e-06, + "loss": 0.2974, + "step": 707 + }, + { + "epoch": 1.3460076045627376, + "grad_norm": 0.8696890589855144, + "learning_rate": 5.845849869981137e-06, + "loss": 0.3019, + "step": 708 + }, + { + "epoch": 1.3479087452471483, + "grad_norm": 0.8784651669872162, + "learning_rate": 5.815664659262845e-06, + "loss": 0.3123, + "step": 709 + }, + { + "epoch": 1.3498098859315588, + "grad_norm": 0.741061794873379, + "learning_rate": 5.78552559555337e-06, + "loss": 0.3007, + "step": 710 + }, + { + "epoch": 1.3517110266159695, + "grad_norm": 0.7928470557663179, + "learning_rate": 5.755433011241851e-06, + "loss": 0.3002, + "step": 711 + }, + { + "epoch": 1.3536121673003803, + "grad_norm": 0.9313650144368278, + "learning_rate": 5.725387238204831e-06, + "loss": 0.3108, + "step": 712 + }, + { + "epoch": 1.3555133079847907, + "grad_norm": 0.7692850992504119, + "learning_rate": 5.695388607802603e-06, + "loss": 0.3141, + "step": 713 + }, + { + "epoch": 1.3574144486692015, + "grad_norm": 0.7153346529811843, + "learning_rate": 5.665437450875534e-06, + "loss": 0.3054, + "step": 714 + }, + { + "epoch": 1.3593155893536122, + "grad_norm": 0.8879627334944136, + "learning_rate": 5.635534097740435e-06, + "loss": 0.3066, + "step": 715 + }, + { + "epoch": 1.3612167300380227, + "grad_norm": 0.7640888913791557, + "learning_rate": 5.605678878186911e-06, + "loss": 0.2982, + "step": 716 + }, + { + "epoch": 1.3631178707224334, + "grad_norm": 0.741269410070457, + "learning_rate": 5.575872121473722e-06, + "loss": 0.2821, + "step": 717 + }, + { + "epoch": 1.3650190114068441, + "grad_norm": 0.7316557351244668, + "learning_rate": 5.546114156325166e-06, + "loss": 0.3001, + "step": 718 + }, + { + "epoch": 1.3669201520912546, + "grad_norm": 0.7049024907065368, + "learning_rate": 5.516405310927431e-06, + "loss": 0.2925, + "step": 719 + }, + { + "epoch": 1.3688212927756653, + "grad_norm": 0.7271822649880768, + "learning_rate": 5.4867459129249846e-06, + "loss": 0.2863, + "step": 720 + }, + { + "epoch": 1.370722433460076, + "grad_norm": 0.7797619996579619, + "learning_rate": 5.4571362894169795e-06, + "loss": 0.3025, + "step": 721 + }, + { + "epoch": 1.3726235741444868, + "grad_norm": 0.7189337871152031, + "learning_rate": 5.427576766953615e-06, + "loss": 0.3016, + "step": 722 + }, + { + "epoch": 1.3745247148288973, + "grad_norm": 0.6836738934045961, + "learning_rate": 5.398067671532554e-06, + "loss": 0.2906, + "step": 723 + }, + { + "epoch": 1.376425855513308, + "grad_norm": 0.6878232469470896, + "learning_rate": 5.368609328595323e-06, + "loss": 0.3025, + "step": 724 + }, + { + "epoch": 1.3783269961977187, + "grad_norm": 0.6545903730512905, + "learning_rate": 5.339202063023727e-06, + "loss": 0.2834, + "step": 725 + }, + { + "epoch": 1.3802281368821292, + "grad_norm": 0.6891971992294891, + "learning_rate": 5.309846199136258e-06, + "loss": 0.2875, + "step": 726 + }, + { + "epoch": 1.38212927756654, + "grad_norm": 0.6626599460402622, + "learning_rate": 5.280542060684535e-06, + "loss": 0.3039, + "step": 727 + }, + { + "epoch": 1.3840304182509506, + "grad_norm": 0.7072952699809278, + "learning_rate": 5.2512899708497086e-06, + "loss": 0.2952, + "step": 728 + }, + { + "epoch": 1.3859315589353614, + "grad_norm": 0.689988642582098, + "learning_rate": 5.222090252238916e-06, + "loss": 0.2825, + "step": 729 + }, + { + "epoch": 1.3878326996197718, + "grad_norm": 0.7051359764494823, + "learning_rate": 5.192943226881724e-06, + "loss": 0.2733, + "step": 730 + }, + { + "epoch": 1.3897338403041826, + "grad_norm": 0.7517787459132846, + "learning_rate": 5.163849216226562e-06, + "loss": 0.3023, + "step": 731 + }, + { + "epoch": 1.3916349809885933, + "grad_norm": 0.682390732635279, + "learning_rate": 5.134808541137183e-06, + "loss": 0.3052, + "step": 732 + }, + { + "epoch": 1.3935361216730038, + "grad_norm": 0.6881593159245546, + "learning_rate": 5.105821521889147e-06, + "loss": 0.3059, + "step": 733 + }, + { + "epoch": 1.3954372623574145, + "grad_norm": 0.7612087385242844, + "learning_rate": 5.076888478166247e-06, + "loss": 0.3057, + "step": 734 + }, + { + "epoch": 1.3973384030418252, + "grad_norm": 0.7609153974737631, + "learning_rate": 5.048009729057012e-06, + "loss": 0.2964, + "step": 735 + }, + { + "epoch": 1.3992395437262357, + "grad_norm": 0.7783101982651986, + "learning_rate": 5.0191855930511946e-06, + "loss": 0.3057, + "step": 736 + }, + { + "epoch": 1.4011406844106464, + "grad_norm": 0.6851425513747134, + "learning_rate": 4.990416388036233e-06, + "loss": 0.2834, + "step": 737 + }, + { + "epoch": 1.4030418250950571, + "grad_norm": 0.707074102927044, + "learning_rate": 4.961702431293759e-06, + "loss": 0.3013, + "step": 738 + }, + { + "epoch": 1.4049429657794676, + "grad_norm": 0.7447729289865167, + "learning_rate": 4.933044039496107e-06, + "loss": 0.3038, + "step": 739 + }, + { + "epoch": 1.4068441064638784, + "grad_norm": 0.6726888571543709, + "learning_rate": 4.904441528702806e-06, + "loss": 0.2933, + "step": 740 + }, + { + "epoch": 1.408745247148289, + "grad_norm": 0.7250569654006208, + "learning_rate": 4.875895214357093e-06, + "loss": 0.296, + "step": 741 + }, + { + "epoch": 1.4106463878326996, + "grad_norm": 0.7173409400277954, + "learning_rate": 4.847405411282462e-06, + "loss": 0.3119, + "step": 742 + }, + { + "epoch": 1.4125475285171103, + "grad_norm": 0.690859779724277, + "learning_rate": 4.818972433679145e-06, + "loss": 0.2917, + "step": 743 + }, + { + "epoch": 1.414448669201521, + "grad_norm": 0.6874427322784807, + "learning_rate": 4.790596595120699e-06, + "loss": 0.2895, + "step": 744 + }, + { + "epoch": 1.4163498098859315, + "grad_norm": 0.6446492262759717, + "learning_rate": 4.762278208550505e-06, + "loss": 0.2768, + "step": 745 + }, + { + "epoch": 1.4182509505703422, + "grad_norm": 0.701566418607254, + "learning_rate": 4.734017586278337e-06, + "loss": 0.2947, + "step": 746 + }, + { + "epoch": 1.420152091254753, + "grad_norm": 0.7127180159280057, + "learning_rate": 4.7058150399769245e-06, + "loss": 0.3026, + "step": 747 + }, + { + "epoch": 1.4220532319391634, + "grad_norm": 0.6965841731104763, + "learning_rate": 4.677670880678493e-06, + "loss": 0.3046, + "step": 748 + }, + { + "epoch": 1.4239543726235742, + "grad_norm": 0.6968052889962494, + "learning_rate": 4.649585418771348e-06, + "loss": 0.3023, + "step": 749 + }, + { + "epoch": 1.4258555133079849, + "grad_norm": 0.8254584396917158, + "learning_rate": 4.621558963996458e-06, + "loss": 0.307, + "step": 750 + }, + { + "epoch": 1.4277566539923954, + "grad_norm": 0.6906504151361319, + "learning_rate": 4.593591825444028e-06, + "loss": 0.2934, + "step": 751 + }, + { + "epoch": 1.429657794676806, + "grad_norm": 0.6791924209726916, + "learning_rate": 4.565684311550077e-06, + "loss": 0.304, + "step": 752 + }, + { + "epoch": 1.4315589353612168, + "grad_norm": 0.739686315717149, + "learning_rate": 4.537836730093077e-06, + "loss": 0.3119, + "step": 753 + }, + { + "epoch": 1.4334600760456273, + "grad_norm": 0.7341206935674344, + "learning_rate": 4.510049388190518e-06, + "loss": 0.3011, + "step": 754 + }, + { + "epoch": 1.435361216730038, + "grad_norm": 0.678774005206085, + "learning_rate": 4.482322592295541e-06, + "loss": 0.2889, + "step": 755 + }, + { + "epoch": 1.4372623574144487, + "grad_norm": 0.6790931545633795, + "learning_rate": 4.454656648193559e-06, + "loss": 0.276, + "step": 756 + }, + { + "epoch": 1.4391634980988592, + "grad_norm": 0.6544087813444031, + "learning_rate": 4.427051860998877e-06, + "loss": 0.2953, + "step": 757 + }, + { + "epoch": 1.44106463878327, + "grad_norm": 0.6979819878136554, + "learning_rate": 4.399508535151321e-06, + "loss": 0.2879, + "step": 758 + }, + { + "epoch": 1.4429657794676807, + "grad_norm": 0.6704041962251459, + "learning_rate": 4.372026974412907e-06, + "loss": 0.2869, + "step": 759 + }, + { + "epoch": 1.4448669201520912, + "grad_norm": 0.701340267320709, + "learning_rate": 4.344607481864466e-06, + "loss": 0.2899, + "step": 760 + }, + { + "epoch": 1.446768060836502, + "grad_norm": 0.6816788646971017, + "learning_rate": 4.317250359902295e-06, + "loss": 0.2939, + "step": 761 + }, + { + "epoch": 1.4486692015209126, + "grad_norm": 0.6864627615760209, + "learning_rate": 4.2899559102348585e-06, + "loss": 0.3071, + "step": 762 + }, + { + "epoch": 1.450570342205323, + "grad_norm": 0.6845593995667809, + "learning_rate": 4.262724433879427e-06, + "loss": 0.3025, + "step": 763 + }, + { + "epoch": 1.4524714828897338, + "grad_norm": 0.7157573868901977, + "learning_rate": 4.235556231158765e-06, + "loss": 0.3039, + "step": 764 + }, + { + "epoch": 1.4543726235741445, + "grad_norm": 0.6729161150145657, + "learning_rate": 4.208451601697836e-06, + "loss": 0.2905, + "step": 765 + }, + { + "epoch": 1.456273764258555, + "grad_norm": 0.668037211038967, + "learning_rate": 4.181410844420473e-06, + "loss": 0.3008, + "step": 766 + }, + { + "epoch": 1.4581749049429658, + "grad_norm": 0.6995806036205511, + "learning_rate": 4.154434257546095e-06, + "loss": 0.2852, + "step": 767 + }, + { + "epoch": 1.4600760456273765, + "grad_norm": 0.6565165473905802, + "learning_rate": 4.127522138586424e-06, + "loss": 0.2945, + "step": 768 + }, + { + "epoch": 1.461977186311787, + "grad_norm": 0.6988360073249953, + "learning_rate": 4.10067478434219e-06, + "loss": 0.2937, + "step": 769 + }, + { + "epoch": 1.4638783269961977, + "grad_norm": 0.6562873363126441, + "learning_rate": 4.073892490899865e-06, + "loss": 0.2881, + "step": 770 + }, + { + "epoch": 1.4657794676806084, + "grad_norm": 0.6802214616906704, + "learning_rate": 4.047175553628397e-06, + "loss": 0.2918, + "step": 771 + }, + { + "epoch": 1.467680608365019, + "grad_norm": 0.7248271078964494, + "learning_rate": 4.020524267175954e-06, + "loss": 0.3003, + "step": 772 + }, + { + "epoch": 1.4695817490494296, + "grad_norm": 0.6760399191164651, + "learning_rate": 3.993938925466674e-06, + "loss": 0.2919, + "step": 773 + }, + { + "epoch": 1.4714828897338403, + "grad_norm": 0.6820832267114996, + "learning_rate": 3.96741982169742e-06, + "loss": 0.2922, + "step": 774 + }, + { + "epoch": 1.4733840304182508, + "grad_norm": 0.705860196243192, + "learning_rate": 3.9409672483345465e-06, + "loss": 0.2934, + "step": 775 + }, + { + "epoch": 1.4752851711026616, + "grad_norm": 0.6958197432943308, + "learning_rate": 3.914581497110684e-06, + "loss": 0.2846, + "step": 776 + }, + { + "epoch": 1.4771863117870723, + "grad_norm": 0.7264244216271954, + "learning_rate": 3.888262859021508e-06, + "loss": 0.2883, + "step": 777 + }, + { + "epoch": 1.4790874524714828, + "grad_norm": 0.6844971542360613, + "learning_rate": 3.862011624322534e-06, + "loss": 0.2873, + "step": 778 + }, + { + "epoch": 1.4809885931558935, + "grad_norm": 0.7338462399547395, + "learning_rate": 3.835828082525925e-06, + "loss": 0.3098, + "step": 779 + }, + { + "epoch": 1.4828897338403042, + "grad_norm": 0.7175856031970519, + "learning_rate": 3.8097125223972864e-06, + "loss": 0.2904, + "step": 780 + }, + { + "epoch": 1.4847908745247147, + "grad_norm": 0.7363454640587259, + "learning_rate": 3.7836652319524835e-06, + "loss": 0.2941, + "step": 781 + }, + { + "epoch": 1.4866920152091254, + "grad_norm": 0.7273028394879475, + "learning_rate": 3.7576864984544814e-06, + "loss": 0.2967, + "step": 782 + }, + { + "epoch": 1.4885931558935361, + "grad_norm": 0.7707075635033304, + "learning_rate": 3.73177660841015e-06, + "loss": 0.3099, + "step": 783 + }, + { + "epoch": 1.4904942965779466, + "grad_norm": 0.7387058410165958, + "learning_rate": 3.7059358475671225e-06, + "loss": 0.2862, + "step": 784 + }, + { + "epoch": 1.4923954372623573, + "grad_norm": 0.6755462419822337, + "learning_rate": 3.680164500910646e-06, + "loss": 0.285, + "step": 785 + }, + { + "epoch": 1.494296577946768, + "grad_norm": 0.6822866461237879, + "learning_rate": 3.654462852660423e-06, + "loss": 0.2975, + "step": 786 + }, + { + "epoch": 1.4961977186311788, + "grad_norm": 0.6765268845784645, + "learning_rate": 3.6288311862674885e-06, + "loss": 0.3069, + "step": 787 + }, + { + "epoch": 1.4980988593155893, + "grad_norm": 0.7122937790553711, + "learning_rate": 3.6032697844110896e-06, + "loss": 0.3091, + "step": 788 + }, + { + "epoch": 1.5, + "grad_norm": 0.6880175477835273, + "learning_rate": 3.5777789289955454e-06, + "loss": 0.2997, + "step": 789 + }, + { + "epoch": 1.5019011406844105, + "grad_norm": 0.6348257629401532, + "learning_rate": 3.5523589011471592e-06, + "loss": 0.2769, + "step": 790 + }, + { + "epoch": 1.5038022813688214, + "grad_norm": 0.7596240780310816, + "learning_rate": 3.527009981211119e-06, + "loss": 0.3108, + "step": 791 + }, + { + "epoch": 1.505703422053232, + "grad_norm": 0.6706974669685762, + "learning_rate": 3.5017324487483873e-06, + "loss": 0.2954, + "step": 792 + }, + { + "epoch": 1.5076045627376424, + "grad_norm": 0.6683196247454588, + "learning_rate": 3.47652658253263e-06, + "loss": 0.2829, + "step": 793 + }, + { + "epoch": 1.5095057034220534, + "grad_norm": 0.6865526391071624, + "learning_rate": 3.4513926605471504e-06, + "loss": 0.2844, + "step": 794 + }, + { + "epoch": 1.5114068441064639, + "grad_norm": 0.6750930069919843, + "learning_rate": 3.4263309599818017e-06, + "loss": 0.2938, + "step": 795 + }, + { + "epoch": 1.5133079847908744, + "grad_norm": 0.6906878894157301, + "learning_rate": 3.4013417572299446e-06, + "loss": 0.31, + "step": 796 + }, + { + "epoch": 1.5152091254752853, + "grad_norm": 0.6994865595835779, + "learning_rate": 3.37642532788541e-06, + "loss": 0.299, + "step": 797 + }, + { + "epoch": 1.5171102661596958, + "grad_norm": 0.7152957731754468, + "learning_rate": 3.3515819467394184e-06, + "loss": 0.3008, + "step": 798 + }, + { + "epoch": 1.5190114068441065, + "grad_norm": 0.6924070697595933, + "learning_rate": 3.326811887777607e-06, + "loss": 0.3011, + "step": 799 + }, + { + "epoch": 1.5209125475285172, + "grad_norm": 0.7271353830675523, + "learning_rate": 3.3021154241769606e-06, + "loss": 0.2896, + "step": 800 + }, + { + "epoch": 1.5228136882129277, + "grad_norm": 0.7239257344134434, + "learning_rate": 3.2774928283028153e-06, + "loss": 0.2957, + "step": 801 + }, + { + "epoch": 1.5247148288973384, + "grad_norm": 0.7593880502038796, + "learning_rate": 3.2529443717058693e-06, + "loss": 0.3004, + "step": 802 + }, + { + "epoch": 1.5266159695817492, + "grad_norm": 0.6692616262503324, + "learning_rate": 3.228470325119164e-06, + "loss": 0.2886, + "step": 803 + }, + { + "epoch": 1.5285171102661597, + "grad_norm": 0.6840957962380307, + "learning_rate": 3.20407095845511e-06, + "loss": 0.2897, + "step": 804 + }, + { + "epoch": 1.5304182509505704, + "grad_norm": 0.7605874500982063, + "learning_rate": 3.179746540802506e-06, + "loss": 0.3201, + "step": 805 + }, + { + "epoch": 1.532319391634981, + "grad_norm": 0.6714918792837926, + "learning_rate": 3.155497340423588e-06, + "loss": 0.2899, + "step": 806 + }, + { + "epoch": 1.5342205323193916, + "grad_norm": 0.7042603977301997, + "learning_rate": 3.1313236247510414e-06, + "loss": 0.2944, + "step": 807 + }, + { + "epoch": 1.5361216730038023, + "grad_norm": 0.7219145727524959, + "learning_rate": 3.107225660385077e-06, + "loss": 0.3089, + "step": 808 + }, + { + "epoch": 1.538022813688213, + "grad_norm": 0.681419061133769, + "learning_rate": 3.0832037130904748e-06, + "loss": 0.2945, + "step": 809 + }, + { + "epoch": 1.5399239543726235, + "grad_norm": 0.7457600216546459, + "learning_rate": 3.0592580477936606e-06, + "loss": 0.2903, + "step": 810 + }, + { + "epoch": 1.5418250950570342, + "grad_norm": 0.788060535268472, + "learning_rate": 3.035388928579792e-06, + "loss": 0.3, + "step": 811 + }, + { + "epoch": 1.543726235741445, + "grad_norm": 0.6987516619726815, + "learning_rate": 3.011596618689825e-06, + "loss": 0.2907, + "step": 812 + }, + { + "epoch": 1.5456273764258555, + "grad_norm": 0.6757206146668999, + "learning_rate": 2.9878813805176252e-06, + "loss": 0.2849, + "step": 813 + }, + { + "epoch": 1.5475285171102662, + "grad_norm": 0.7241016707932825, + "learning_rate": 2.9642434756070793e-06, + "loss": 0.2903, + "step": 814 + }, + { + "epoch": 1.549429657794677, + "grad_norm": 0.6898554037825949, + "learning_rate": 2.940683164649194e-06, + "loss": 0.289, + "step": 815 + }, + { + "epoch": 1.5513307984790874, + "grad_norm": 0.7115316303907544, + "learning_rate": 2.9172007074792342e-06, + "loss": 0.2858, + "step": 816 + }, + { + "epoch": 1.553231939163498, + "grad_norm": 0.6664130828801642, + "learning_rate": 2.8937963630738517e-06, + "loss": 0.2955, + "step": 817 + }, + { + "epoch": 1.5551330798479088, + "grad_norm": 0.6633934717830003, + "learning_rate": 2.87047038954823e-06, + "loss": 0.2946, + "step": 818 + }, + { + "epoch": 1.5570342205323193, + "grad_norm": 0.7246399644237944, + "learning_rate": 2.8472230441532365e-06, + "loss": 0.2929, + "step": 819 + }, + { + "epoch": 1.55893536121673, + "grad_norm": 0.6725206337241619, + "learning_rate": 2.8240545832725963e-06, + "loss": 0.277, + "step": 820 + }, + { + "epoch": 1.5608365019011408, + "grad_norm": 0.7521031934202115, + "learning_rate": 2.8009652624200436e-06, + "loss": 0.296, + "step": 821 + }, + { + "epoch": 1.5627376425855513, + "grad_norm": 0.6649490791653402, + "learning_rate": 2.7779553362365184e-06, + "loss": 0.2691, + "step": 822 + }, + { + "epoch": 1.564638783269962, + "grad_norm": 0.7416418679669249, + "learning_rate": 2.755025058487364e-06, + "loss": 0.2947, + "step": 823 + }, + { + "epoch": 1.5665399239543727, + "grad_norm": 0.748717562939948, + "learning_rate": 2.7321746820595084e-06, + "loss": 0.2922, + "step": 824 + }, + { + "epoch": 1.5684410646387832, + "grad_norm": 0.7189896283757032, + "learning_rate": 2.709404458958693e-06, + "loss": 0.3, + "step": 825 + }, + { + "epoch": 1.570342205323194, + "grad_norm": 0.6778151212846256, + "learning_rate": 2.6867146403066833e-06, + "loss": 0.2795, + "step": 826 + }, + { + "epoch": 1.5722433460076046, + "grad_norm": 0.6482856460156998, + "learning_rate": 2.6641054763385044e-06, + "loss": 0.2727, + "step": 827 + }, + { + "epoch": 1.5741444866920151, + "grad_norm": 0.7178101261839865, + "learning_rate": 2.6415772163996845e-06, + "loss": 0.288, + "step": 828 + }, + { + "epoch": 1.5760456273764258, + "grad_norm": 0.7548748726915699, + "learning_rate": 2.619130108943494e-06, + "loss": 0.3015, + "step": 829 + }, + { + "epoch": 1.5779467680608366, + "grad_norm": 0.6697971227113539, + "learning_rate": 2.5967644015282146e-06, + "loss": 0.2724, + "step": 830 + }, + { + "epoch": 1.579847908745247, + "grad_norm": 0.705543895211343, + "learning_rate": 2.5744803408144026e-06, + "loss": 0.2958, + "step": 831 + }, + { + "epoch": 1.5817490494296578, + "grad_norm": 0.7466399982164742, + "learning_rate": 2.5522781725621814e-06, + "loss": 0.3134, + "step": 832 + }, + { + "epoch": 1.5836501901140685, + "grad_norm": 0.6834710574328275, + "learning_rate": 2.530158141628515e-06, + "loss": 0.2853, + "step": 833 + }, + { + "epoch": 1.585551330798479, + "grad_norm": 0.6904210294961538, + "learning_rate": 2.508120491964512e-06, + "loss": 0.2981, + "step": 834 + }, + { + "epoch": 1.5874524714828897, + "grad_norm": 0.7134507041675866, + "learning_rate": 2.486165466612751e-06, + "loss": 0.2928, + "step": 835 + }, + { + "epoch": 1.5893536121673004, + "grad_norm": 0.7163069727636016, + "learning_rate": 2.464293307704566e-06, + "loss": 0.284, + "step": 836 + }, + { + "epoch": 1.591254752851711, + "grad_norm": 0.729799632475782, + "learning_rate": 2.4425042564574186e-06, + "loss": 0.288, + "step": 837 + }, + { + "epoch": 1.5931558935361216, + "grad_norm": 0.6504224710355665, + "learning_rate": 2.4207985531722034e-06, + "loss": 0.2871, + "step": 838 + }, + { + "epoch": 1.5950570342205324, + "grad_norm": 0.7162572870841332, + "learning_rate": 2.3991764372306113e-06, + "loss": 0.2983, + "step": 839 + }, + { + "epoch": 1.5969581749049429, + "grad_norm": 0.6528631590867244, + "learning_rate": 2.377638147092497e-06, + "loss": 0.2767, + "step": 840 + }, + { + "epoch": 1.5988593155893536, + "grad_norm": 0.6756702527323629, + "learning_rate": 2.3561839202932344e-06, + "loss": 0.2979, + "step": 841 + }, + { + "epoch": 1.6007604562737643, + "grad_norm": 0.7026114119035859, + "learning_rate": 2.3348139934411008e-06, + "loss": 0.2913, + "step": 842 + }, + { + "epoch": 1.6026615969581748, + "grad_norm": 0.6837243131624721, + "learning_rate": 2.3135286022146785e-06, + "loss": 0.2915, + "step": 843 + }, + { + "epoch": 1.6045627376425855, + "grad_norm": 0.6369470043332507, + "learning_rate": 2.292327981360245e-06, + "loss": 0.2742, + "step": 844 + }, + { + "epoch": 1.6064638783269962, + "grad_norm": 0.679446992341736, + "learning_rate": 2.271212364689176e-06, + "loss": 0.288, + "step": 845 + }, + { + "epoch": 1.6083650190114067, + "grad_norm": 0.7419636867126453, + "learning_rate": 2.2501819850753925e-06, + "loss": 0.3037, + "step": 846 + }, + { + "epoch": 1.6102661596958177, + "grad_norm": 0.7254877844175798, + "learning_rate": 2.229237074452768e-06, + "loss": 0.2912, + "step": 847 + }, + { + "epoch": 1.6121673003802282, + "grad_norm": 0.6745766452178334, + "learning_rate": 2.2083778638125796e-06, + "loss": 0.2826, + "step": 848 + }, + { + "epoch": 1.6140684410646386, + "grad_norm": 0.7031417636695934, + "learning_rate": 2.1876045832009694e-06, + "loss": 0.2819, + "step": 849 + }, + { + "epoch": 1.6159695817490496, + "grad_norm": 0.6840837286650099, + "learning_rate": 2.16691746171639e-06, + "loss": 0.2896, + "step": 850 + }, + { + "epoch": 1.61787072243346, + "grad_norm": 0.6541199220384035, + "learning_rate": 2.1463167275070863e-06, + "loss": 0.2945, + "step": 851 + }, + { + "epoch": 1.6197718631178706, + "grad_norm": 0.7044290926674595, + "learning_rate": 2.125802607768588e-06, + "loss": 0.2912, + "step": 852 + }, + { + "epoch": 1.6216730038022815, + "grad_norm": 0.7001253202350683, + "learning_rate": 2.1053753287411895e-06, + "loss": 0.2805, + "step": 853 + }, + { + "epoch": 1.623574144486692, + "grad_norm": 0.693844774218909, + "learning_rate": 2.08503511570746e-06, + "loss": 0.2937, + "step": 854 + }, + { + "epoch": 1.6254752851711025, + "grad_norm": 0.6411951499437264, + "learning_rate": 2.064782192989765e-06, + "loss": 0.2817, + "step": 855 + }, + { + "epoch": 1.6273764258555135, + "grad_norm": 0.7222151978506833, + "learning_rate": 2.0446167839477815e-06, + "loss": 0.2852, + "step": 856 + }, + { + "epoch": 1.629277566539924, + "grad_norm": 0.6913652763684746, + "learning_rate": 2.0245391109760437e-06, + "loss": 0.2892, + "step": 857 + }, + { + "epoch": 1.6311787072243344, + "grad_norm": 0.6817511270368097, + "learning_rate": 2.0045493955014915e-06, + "loss": 0.2924, + "step": 858 + }, + { + "epoch": 1.6330798479087454, + "grad_norm": 0.6992206308391961, + "learning_rate": 1.984647857981017e-06, + "loss": 0.2928, + "step": 859 + }, + { + "epoch": 1.6349809885931559, + "grad_norm": 0.6709723525872011, + "learning_rate": 1.96483471789904e-06, + "loss": 0.2971, + "step": 860 + }, + { + "epoch": 1.6368821292775664, + "grad_norm": 0.675625645397297, + "learning_rate": 1.9451101937650963e-06, + "loss": 0.2943, + "step": 861 + }, + { + "epoch": 1.6387832699619773, + "grad_norm": 0.7004993337399331, + "learning_rate": 1.925474503111412e-06, + "loss": 0.2958, + "step": 862 + }, + { + "epoch": 1.6406844106463878, + "grad_norm": 0.6846562668268429, + "learning_rate": 1.905927862490512e-06, + "loss": 0.2993, + "step": 863 + }, + { + "epoch": 1.6425855513307985, + "grad_norm": 0.6847912208747811, + "learning_rate": 1.8864704874728346e-06, + "loss": 0.2806, + "step": 864 + }, + { + "epoch": 1.6444866920152093, + "grad_norm": 0.7469718363268735, + "learning_rate": 1.8671025926443464e-06, + "loss": 0.2929, + "step": 865 + }, + { + "epoch": 1.6463878326996197, + "grad_norm": 0.6622353022237473, + "learning_rate": 1.8478243916041882e-06, + "loss": 0.2809, + "step": 866 + }, + { + "epoch": 1.6482889733840305, + "grad_norm": 0.6726742666857457, + "learning_rate": 1.828636096962304e-06, + "loss": 0.2802, + "step": 867 + }, + { + "epoch": 1.6501901140684412, + "grad_norm": 0.6693324793206099, + "learning_rate": 1.8095379203371044e-06, + "loss": 0.2929, + "step": 868 + }, + { + "epoch": 1.6520912547528517, + "grad_norm": 0.6958850572764865, + "learning_rate": 1.7905300723531393e-06, + "loss": 0.295, + "step": 869 + }, + { + "epoch": 1.6539923954372624, + "grad_norm": 0.675344081946386, + "learning_rate": 1.771612762638758e-06, + "loss": 0.2993, + "step": 870 + }, + { + "epoch": 1.6558935361216731, + "grad_norm": 0.6799343388122288, + "learning_rate": 1.7527861998238094e-06, + "loss": 0.2915, + "step": 871 + }, + { + "epoch": 1.6577946768060836, + "grad_norm": 0.6970248770782166, + "learning_rate": 1.7340505915373495e-06, + "loss": 0.2776, + "step": 872 + }, + { + "epoch": 1.6596958174904943, + "grad_norm": 0.6869407111074151, + "learning_rate": 1.7154061444053239e-06, + "loss": 0.2961, + "step": 873 + }, + { + "epoch": 1.661596958174905, + "grad_norm": 0.6739278465492032, + "learning_rate": 1.6968530640483126e-06, + "loss": 0.2826, + "step": 874 + }, + { + "epoch": 1.6634980988593155, + "grad_norm": 0.6627832667904867, + "learning_rate": 1.6783915550792652e-06, + "loss": 0.2768, + "step": 875 + }, + { + "epoch": 1.6653992395437263, + "grad_norm": 0.672471061873299, + "learning_rate": 1.660021821101222e-06, + "loss": 0.2754, + "step": 876 + }, + { + "epoch": 1.667300380228137, + "grad_norm": 0.6323725629430416, + "learning_rate": 1.6417440647050853e-06, + "loss": 0.2717, + "step": 877 + }, + { + "epoch": 1.6692015209125475, + "grad_norm": 0.6687314839508512, + "learning_rate": 1.6235584874673848e-06, + "loss": 0.2886, + "step": 878 + }, + { + "epoch": 1.6711026615969582, + "grad_norm": 0.6789022682971786, + "learning_rate": 1.6054652899480472e-06, + "loss": 0.2785, + "step": 879 + }, + { + "epoch": 1.673003802281369, + "grad_norm": 0.6522004011838884, + "learning_rate": 1.587464671688187e-06, + "loss": 0.2852, + "step": 880 + }, + { + "epoch": 1.6749049429657794, + "grad_norm": 0.6990396993019006, + "learning_rate": 1.5695568312079156e-06, + "loss": 0.2858, + "step": 881 + }, + { + "epoch": 1.6768060836501901, + "grad_norm": 0.6788115285368762, + "learning_rate": 1.5517419660041277e-06, + "loss": 0.2805, + "step": 882 + }, + { + "epoch": 1.6787072243346008, + "grad_norm": 0.7059493806598247, + "learning_rate": 1.534020272548349e-06, + "loss": 0.2919, + "step": 883 + }, + { + "epoch": 1.6806083650190113, + "grad_norm": 0.729505603314673, + "learning_rate": 1.5163919462845622e-06, + "loss": 0.2997, + "step": 884 + }, + { + "epoch": 1.682509505703422, + "grad_norm": 0.7061297241950061, + "learning_rate": 1.4988571816270402e-06, + "loss": 0.3094, + "step": 885 + }, + { + "epoch": 1.6844106463878328, + "grad_norm": 0.7158955694146114, + "learning_rate": 1.4814161719582132e-06, + "loss": 0.275, + "step": 886 + }, + { + "epoch": 1.6863117870722433, + "grad_norm": 0.6923077993490927, + "learning_rate": 1.4640691096265358e-06, + "loss": 0.2992, + "step": 887 + }, + { + "epoch": 1.688212927756654, + "grad_norm": 0.6757717346433129, + "learning_rate": 1.4468161859443609e-06, + "loss": 0.2992, + "step": 888 + }, + { + "epoch": 1.6901140684410647, + "grad_norm": 0.6502118172310717, + "learning_rate": 1.4296575911858268e-06, + "loss": 0.2775, + "step": 889 + }, + { + "epoch": 1.6920152091254752, + "grad_norm": 0.7212326057206864, + "learning_rate": 1.412593514584777e-06, + "loss": 0.2914, + "step": 890 + }, + { + "epoch": 1.693916349809886, + "grad_norm": 0.717814982268225, + "learning_rate": 1.3956241443326423e-06, + "loss": 0.2834, + "step": 891 + }, + { + "epoch": 1.6958174904942966, + "grad_norm": 0.6931153598256459, + "learning_rate": 1.378749667576399e-06, + "loss": 0.3052, + "step": 892 + }, + { + "epoch": 1.6977186311787071, + "grad_norm": 0.675812444258002, + "learning_rate": 1.3619702704164783e-06, + "loss": 0.2985, + "step": 893 + }, + { + "epoch": 1.6996197718631179, + "grad_norm": 0.7132124946133126, + "learning_rate": 1.3452861379047289e-06, + "loss": 0.2948, + "step": 894 + }, + { + "epoch": 1.7015209125475286, + "grad_norm": 0.6722753001803864, + "learning_rate": 1.3286974540423747e-06, + "loss": 0.2933, + "step": 895 + }, + { + "epoch": 1.703422053231939, + "grad_norm": 0.7033374763702748, + "learning_rate": 1.3122044017779768e-06, + "loss": 0.3063, + "step": 896 + }, + { + "epoch": 1.7053231939163498, + "grad_norm": 0.6621570193052906, + "learning_rate": 1.2958071630054214e-06, + "loss": 0.2951, + "step": 897 + }, + { + "epoch": 1.7072243346007605, + "grad_norm": 0.6684466391239013, + "learning_rate": 1.279505918561923e-06, + "loss": 0.3014, + "step": 898 + }, + { + "epoch": 1.709125475285171, + "grad_norm": 0.698684262422898, + "learning_rate": 1.2633008482260146e-06, + "loss": 0.3014, + "step": 899 + }, + { + "epoch": 1.7110266159695817, + "grad_norm": 0.6821766878872, + "learning_rate": 1.2471921307155655e-06, + "loss": 0.2816, + "step": 900 + }, + { + "epoch": 1.7129277566539924, + "grad_norm": 0.7144314228372851, + "learning_rate": 1.2311799436858275e-06, + "loss": 0.3029, + "step": 901 + }, + { + "epoch": 1.714828897338403, + "grad_norm": 0.6812939383131124, + "learning_rate": 1.2152644637274603e-06, + "loss": 0.2942, + "step": 902 + }, + { + "epoch": 1.7167300380228137, + "grad_norm": 0.7181420014741079, + "learning_rate": 1.1994458663645836e-06, + "loss": 0.3054, + "step": 903 + }, + { + "epoch": 1.7186311787072244, + "grad_norm": 0.7125081890078074, + "learning_rate": 1.1837243260528542e-06, + "loss": 0.2868, + "step": 904 + }, + { + "epoch": 1.7205323193916349, + "grad_norm": 0.679870957560119, + "learning_rate": 1.168100016177528e-06, + "loss": 0.2829, + "step": 905 + }, + { + "epoch": 1.7224334600760456, + "grad_norm": 0.6888510167626353, + "learning_rate": 1.1525731090515536e-06, + "loss": 0.2784, + "step": 906 + }, + { + "epoch": 1.7243346007604563, + "grad_norm": 0.6825513781242533, + "learning_rate": 1.137143775913675e-06, + "loss": 0.2895, + "step": 907 + }, + { + "epoch": 1.7262357414448668, + "grad_norm": 0.6848285002276066, + "learning_rate": 1.1218121869265365e-06, + "loss": 0.288, + "step": 908 + }, + { + "epoch": 1.7281368821292775, + "grad_norm": 0.6486000726132766, + "learning_rate": 1.1065785111748117e-06, + "loss": 0.2645, + "step": 909 + }, + { + "epoch": 1.7300380228136882, + "grad_norm": 0.6840951182507553, + "learning_rate": 1.0914429166633355e-06, + "loss": 0.2856, + "step": 910 + }, + { + "epoch": 1.7319391634980987, + "grad_norm": 0.7153472336382996, + "learning_rate": 1.076405570315252e-06, + "loss": 0.2951, + "step": 911 + }, + { + "epoch": 1.7338403041825095, + "grad_norm": 0.7283218855744864, + "learning_rate": 1.0614666379701732e-06, + "loss": 0.2836, + "step": 912 + }, + { + "epoch": 1.7357414448669202, + "grad_norm": 0.705903557606627, + "learning_rate": 1.046626284382356e-06, + "loss": 0.2858, + "step": 913 + }, + { + "epoch": 1.7376425855513307, + "grad_norm": 0.7254500135586339, + "learning_rate": 1.0318846732188737e-06, + "loss": 0.2879, + "step": 914 + }, + { + "epoch": 1.7395437262357416, + "grad_norm": 0.69108479862469, + "learning_rate": 1.017241967057816e-06, + "loss": 0.2971, + "step": 915 + }, + { + "epoch": 1.741444866920152, + "grad_norm": 0.6980084362756945, + "learning_rate": 1.0026983273865055e-06, + "loss": 0.2897, + "step": 916 + }, + { + "epoch": 1.7433460076045626, + "grad_norm": 0.6478640429907006, + "learning_rate": 9.882539145997027e-07, + "loss": 0.2866, + "step": 917 + }, + { + "epoch": 1.7452471482889735, + "grad_norm": 0.6632357501598067, + "learning_rate": 9.739088879978409e-07, + "loss": 0.277, + "step": 918 + }, + { + "epoch": 1.747148288973384, + "grad_norm": 0.6835575170452318, + "learning_rate": 9.59663405785277e-07, + "loss": 0.2804, + "step": 919 + }, + { + "epoch": 1.7490494296577945, + "grad_norm": 0.7190067228379501, + "learning_rate": 9.455176250685338e-07, + "loss": 0.2984, + "step": 920 + }, + { + "epoch": 1.7509505703422055, + "grad_norm": 0.6826836040756071, + "learning_rate": 9.314717018545838e-07, + "loss": 0.2773, + "step": 921 + }, + { + "epoch": 1.752851711026616, + "grad_norm": 0.7168449504045971, + "learning_rate": 9.17525791049112e-07, + "loss": 0.2826, + "step": 922 + }, + { + "epoch": 1.7547528517110265, + "grad_norm": 0.718823129658248, + "learning_rate": 9.036800464548157e-07, + "loss": 0.2827, + "step": 923 + }, + { + "epoch": 1.7566539923954374, + "grad_norm": 0.738208768209008, + "learning_rate": 8.899346207697135e-07, + "loss": 0.2863, + "step": 924 + }, + { + "epoch": 1.758555133079848, + "grad_norm": 0.7235904635704915, + "learning_rate": 8.762896655854481e-07, + "loss": 0.316, + "step": 925 + }, + { + "epoch": 1.7604562737642584, + "grad_norm": 0.6949700608571605, + "learning_rate": 8.627453313856249e-07, + "loss": 0.288, + "step": 926 + }, + { + "epoch": 1.7623574144486693, + "grad_norm": 0.6850281941736235, + "learning_rate": 8.493017675441495e-07, + "loss": 0.2826, + "step": 927 + }, + { + "epoch": 1.7642585551330798, + "grad_norm": 0.7404300976673953, + "learning_rate": 8.359591223235785e-07, + "loss": 0.3063, + "step": 928 + }, + { + "epoch": 1.7661596958174905, + "grad_norm": 0.7098710465061595, + "learning_rate": 8.227175428734868e-07, + "loss": 0.3008, + "step": 929 + }, + { + "epoch": 1.7680608365019013, + "grad_norm": 0.663076881926223, + "learning_rate": 8.095771752288451e-07, + "loss": 0.2825, + "step": 930 + }, + { + "epoch": 1.7699619771863118, + "grad_norm": 0.6669534974032036, + "learning_rate": 7.965381643084069e-07, + "loss": 0.2767, + "step": 931 + }, + { + "epoch": 1.7718631178707225, + "grad_norm": 0.6952805310127537, + "learning_rate": 7.83600653913108e-07, + "loss": 0.2854, + "step": 932 + }, + { + "epoch": 1.7737642585551332, + "grad_norm": 0.6307524932955819, + "learning_rate": 7.707647867244927e-07, + "loss": 0.2701, + "step": 933 + }, + { + "epoch": 1.7756653992395437, + "grad_norm": 0.7236358928829301, + "learning_rate": 7.580307043031232e-07, + "loss": 0.2958, + "step": 934 + }, + { + "epoch": 1.7775665399239544, + "grad_norm": 0.7262100345608755, + "learning_rate": 7.453985470870284e-07, + "loss": 0.2971, + "step": 935 + }, + { + "epoch": 1.7794676806083651, + "grad_norm": 0.6925182741390906, + "learning_rate": 7.328684543901598e-07, + "loss": 0.2937, + "step": 936 + }, + { + "epoch": 1.7813688212927756, + "grad_norm": 0.6517802018489877, + "learning_rate": 7.204405644008416e-07, + "loss": 0.289, + "step": 937 + }, + { + "epoch": 1.7832699619771863, + "grad_norm": 0.6888567826520788, + "learning_rate": 7.081150141802518e-07, + "loss": 0.2883, + "step": 938 + }, + { + "epoch": 1.785171102661597, + "grad_norm": 0.6660323665115999, + "learning_rate": 6.958919396609231e-07, + "loss": 0.2876, + "step": 939 + }, + { + "epoch": 1.7870722433460076, + "grad_norm": 0.6991581288383165, + "learning_rate": 6.837714756452241e-07, + "loss": 0.2861, + "step": 940 + }, + { + "epoch": 1.7889733840304183, + "grad_norm": 0.698795359283034, + "learning_rate": 6.717537558038845e-07, + "loss": 0.2837, + "step": 941 + }, + { + "epoch": 1.790874524714829, + "grad_norm": 0.6995147313549952, + "learning_rate": 6.598389126745209e-07, + "loss": 0.3046, + "step": 942 + }, + { + "epoch": 1.7927756653992395, + "grad_norm": 0.6886100459018475, + "learning_rate": 6.480270776601682e-07, + "loss": 0.2913, + "step": 943 + }, + { + "epoch": 1.7946768060836502, + "grad_norm": 0.6784034851430106, + "learning_rate": 6.36318381027835e-07, + "loss": 0.2782, + "step": 944 + }, + { + "epoch": 1.796577946768061, + "grad_norm": 0.6517285087488358, + "learning_rate": 6.247129519070728e-07, + "loss": 0.2782, + "step": 945 + }, + { + "epoch": 1.7984790874524714, + "grad_norm": 0.683977014721598, + "learning_rate": 6.132109182885382e-07, + "loss": 0.2941, + "step": 946 + }, + { + "epoch": 1.8003802281368821, + "grad_norm": 0.6539845255421082, + "learning_rate": 6.018124070225928e-07, + "loss": 0.2762, + "step": 947 + }, + { + "epoch": 1.8022813688212929, + "grad_norm": 0.6728878417139437, + "learning_rate": 5.905175438178979e-07, + "loss": 0.2992, + "step": 948 + }, + { + "epoch": 1.8041825095057034, + "grad_norm": 0.661190868288062, + "learning_rate": 5.793264532400311e-07, + "loss": 0.2929, + "step": 949 + }, + { + "epoch": 1.806083650190114, + "grad_norm": 0.667845559612317, + "learning_rate": 5.68239258710116e-07, + "loss": 0.2813, + "step": 950 + }, + { + "epoch": 1.8079847908745248, + "grad_norm": 0.6937455417455977, + "learning_rate": 5.572560825034523e-07, + "loss": 0.2926, + "step": 951 + }, + { + "epoch": 1.8098859315589353, + "grad_norm": 0.7354015367534048, + "learning_rate": 5.463770457481732e-07, + "loss": 0.2886, + "step": 952 + }, + { + "epoch": 1.811787072243346, + "grad_norm": 0.6502145664807248, + "learning_rate": 5.35602268423906e-07, + "loss": 0.2917, + "step": 953 + }, + { + "epoch": 1.8136882129277567, + "grad_norm": 0.7426612735167499, + "learning_rate": 5.249318693604577e-07, + "loss": 0.3021, + "step": 954 + }, + { + "epoch": 1.8155893536121672, + "grad_norm": 0.7412243667388426, + "learning_rate": 5.143659662364931e-07, + "loss": 0.2993, + "step": 955 + }, + { + "epoch": 1.817490494296578, + "grad_norm": 0.6803520627935851, + "learning_rate": 5.039046755782417e-07, + "loss": 0.2829, + "step": 956 + }, + { + "epoch": 1.8193916349809887, + "grad_norm": 0.6590870600210572, + "learning_rate": 4.935481127582131e-07, + "loss": 0.2676, + "step": 957 + }, + { + "epoch": 1.8212927756653992, + "grad_norm": 0.7410240006441985, + "learning_rate": 4.83296391993926e-07, + "loss": 0.3089, + "step": 958 + }, + { + "epoch": 1.8231939163498099, + "grad_norm": 0.6771559292620978, + "learning_rate": 4.7314962634664616e-07, + "loss": 0.2875, + "step": 959 + }, + { + "epoch": 1.8250950570342206, + "grad_norm": 0.6480600103714194, + "learning_rate": 4.631079277201389e-07, + "loss": 0.2744, + "step": 960 + }, + { + "epoch": 1.826996197718631, + "grad_norm": 0.6578552716511652, + "learning_rate": 4.5317140685943726e-07, + "loss": 0.2854, + "step": 961 + }, + { + "epoch": 1.8288973384030418, + "grad_norm": 0.6673271758337779, + "learning_rate": 4.433401733496201e-07, + "loss": 0.2842, + "step": 962 + }, + { + "epoch": 1.8307984790874525, + "grad_norm": 0.7100014285314042, + "learning_rate": 4.3361433561460274e-07, + "loss": 0.3039, + "step": 963 + }, + { + "epoch": 1.832699619771863, + "grad_norm": 0.6908336280614016, + "learning_rate": 4.2399400091594154e-07, + "loss": 0.2793, + "step": 964 + }, + { + "epoch": 1.8346007604562737, + "grad_norm": 0.6769729562900517, + "learning_rate": 4.14479275351648e-07, + "loss": 0.2849, + "step": 965 + }, + { + "epoch": 1.8365019011406845, + "grad_norm": 0.6562578982643045, + "learning_rate": 4.0507026385502747e-07, + "loss": 0.2841, + "step": 966 + }, + { + "epoch": 1.838403041825095, + "grad_norm": 0.6692296664919734, + "learning_rate": 3.9576707019350903e-07, + "loss": 0.2945, + "step": 967 + }, + { + "epoch": 1.8403041825095057, + "grad_norm": 0.7094006805263994, + "learning_rate": 3.865697969675164e-07, + "loss": 0.2989, + "step": 968 + }, + { + "epoch": 1.8422053231939164, + "grad_norm": 0.6840714003695744, + "learning_rate": 3.7747854560931996e-07, + "loss": 0.287, + "step": 969 + }, + { + "epoch": 1.8441064638783269, + "grad_norm": 0.7004254880143974, + "learning_rate": 3.684934163819309e-07, + "loss": 0.2865, + "step": 970 + }, + { + "epoch": 1.8460076045627376, + "grad_norm": 0.6835045862244365, + "learning_rate": 3.596145083779912e-07, + "loss": 0.2851, + "step": 971 + }, + { + "epoch": 1.8479087452471483, + "grad_norm": 0.6707584333176398, + "learning_rate": 3.508419195186774e-07, + "loss": 0.2737, + "step": 972 + }, + { + "epoch": 1.8498098859315588, + "grad_norm": 0.7040951982078943, + "learning_rate": 3.421757465526243e-07, + "loss": 0.2856, + "step": 973 + }, + { + "epoch": 1.8517110266159695, + "grad_norm": 0.7080484534082977, + "learning_rate": 3.33616085054862e-07, + "loss": 0.2781, + "step": 974 + }, + { + "epoch": 1.8536121673003803, + "grad_norm": 0.6973642285563096, + "learning_rate": 3.2516302942574794e-07, + "loss": 0.2821, + "step": 975 + }, + { + "epoch": 1.8555133079847907, + "grad_norm": 0.692423714500858, + "learning_rate": 3.1681667288994353e-07, + "loss": 0.298, + "step": 976 + }, + { + "epoch": 1.8574144486692015, + "grad_norm": 0.678448689923694, + "learning_rate": 3.0857710749537585e-07, + "loss": 0.2843, + "step": 977 + }, + { + "epoch": 1.8593155893536122, + "grad_norm": 0.64263271778872, + "learning_rate": 3.0044442411222066e-07, + "loss": 0.2772, + "step": 978 + }, + { + "epoch": 1.8612167300380227, + "grad_norm": 0.6772732129193577, + "learning_rate": 2.9241871243190555e-07, + "loss": 0.29, + "step": 979 + }, + { + "epoch": 1.8631178707224336, + "grad_norm": 0.6641464050682951, + "learning_rate": 2.845000609661208e-07, + "loss": 0.2772, + "step": 980 + }, + { + "epoch": 1.8650190114068441, + "grad_norm": 0.6744772778122544, + "learning_rate": 2.7668855704583997e-07, + "loss": 0.2842, + "step": 981 + }, + { + "epoch": 1.8669201520912546, + "grad_norm": 0.6671204539831328, + "learning_rate": 2.689842868203563e-07, + "loss": 0.2795, + "step": 982 + }, + { + "epoch": 1.8688212927756656, + "grad_norm": 0.7005735235273514, + "learning_rate": 2.6138733525633896e-07, + "loss": 0.2825, + "step": 983 + }, + { + "epoch": 1.870722433460076, + "grad_norm": 0.7041142234185361, + "learning_rate": 2.5389778613688744e-07, + "loss": 0.3038, + "step": 984 + }, + { + "epoch": 1.8726235741444865, + "grad_norm": 0.6610607243551558, + "learning_rate": 2.46515722060614e-07, + "loss": 0.2875, + "step": 985 + }, + { + "epoch": 1.8745247148288975, + "grad_norm": 0.6872731425895331, + "learning_rate": 2.392412244407294e-07, + "loss": 0.2693, + "step": 986 + }, + { + "epoch": 1.876425855513308, + "grad_norm": 0.6890900850341375, + "learning_rate": 2.3207437350414418e-07, + "loss": 0.2852, + "step": 987 + }, + { + "epoch": 1.8783269961977185, + "grad_norm": 0.679111042440927, + "learning_rate": 2.2501524829059208e-07, + "loss": 0.2834, + "step": 988 + }, + { + "epoch": 1.8802281368821294, + "grad_norm": 0.7240616737983802, + "learning_rate": 2.180639266517448e-07, + "loss": 0.2913, + "step": 989 + }, + { + "epoch": 1.88212927756654, + "grad_norm": 0.7193328850424774, + "learning_rate": 2.1122048525036409e-07, + "loss": 0.2874, + "step": 990 + }, + { + "epoch": 1.8840304182509504, + "grad_norm": 0.677687575856997, + "learning_rate": 2.0448499955945223e-07, + "loss": 0.2851, + "step": 991 + }, + { + "epoch": 1.8859315589353614, + "grad_norm": 0.6924566450044342, + "learning_rate": 1.9785754386142164e-07, + "loss": 0.289, + "step": 992 + }, + { + "epoch": 1.8878326996197718, + "grad_norm": 0.674607345915512, + "learning_rate": 1.9133819124727003e-07, + "loss": 0.2893, + "step": 993 + }, + { + "epoch": 1.8897338403041823, + "grad_norm": 0.7209849872160335, + "learning_rate": 1.8492701361578326e-07, + "loss": 0.2932, + "step": 994 + }, + { + "epoch": 1.8916349809885933, + "grad_norm": 0.6831355382123203, + "learning_rate": 1.7862408167273472e-07, + "loss": 0.2932, + "step": 995 + }, + { + "epoch": 1.8935361216730038, + "grad_norm": 0.6953634149735767, + "learning_rate": 1.724294649301095e-07, + "loss": 0.286, + "step": 996 + }, + { + "epoch": 1.8954372623574145, + "grad_norm": 0.6913834587275323, + "learning_rate": 1.6634323170533928e-07, + "loss": 0.29, + "step": 997 + }, + { + "epoch": 1.8973384030418252, + "grad_norm": 0.6602953452308825, + "learning_rate": 1.6036544912054087e-07, + "loss": 0.2816, + "step": 998 + }, + { + "epoch": 1.8992395437262357, + "grad_norm": 0.6805301949373087, + "learning_rate": 1.544961831017855e-07, + "loss": 0.2966, + "step": 999 + }, + { + "epoch": 1.9011406844106464, + "grad_norm": 0.7019539921184856, + "learning_rate": 1.487354983783673e-07, + "loss": 0.2868, + "step": 1000 + }, + { + "epoch": 1.9030418250950571, + "grad_norm": 0.6547373408336923, + "learning_rate": 1.430834584820895e-07, + "loss": 0.2844, + "step": 1001 + }, + { + "epoch": 1.9049429657794676, + "grad_norm": 0.6854587160034771, + "learning_rate": 1.375401257465625e-07, + "loss": 0.2846, + "step": 1002 + }, + { + "epoch": 1.9068441064638784, + "grad_norm": 0.6680108541741815, + "learning_rate": 1.3210556130652031e-07, + "loss": 0.2827, + "step": 1003 + }, + { + "epoch": 1.908745247148289, + "grad_norm": 0.6753853014028878, + "learning_rate": 1.2677982509714415e-07, + "loss": 0.2782, + "step": 1004 + }, + { + "epoch": 1.9106463878326996, + "grad_norm": 0.703216680369279, + "learning_rate": 1.2156297585339872e-07, + "loss": 0.282, + "step": 1005 + }, + { + "epoch": 1.9125475285171103, + "grad_norm": 0.7221226047083721, + "learning_rate": 1.1645507110938925e-07, + "loss": 0.2919, + "step": 1006 + }, + { + "epoch": 1.914448669201521, + "grad_norm": 0.6726153834884064, + "learning_rate": 1.1145616719772545e-07, + "loss": 0.3011, + "step": 1007 + }, + { + "epoch": 1.9163498098859315, + "grad_norm": 0.6640673476821523, + "learning_rate": 1.0656631924889749e-07, + "loss": 0.2783, + "step": 1008 + }, + { + "epoch": 1.9182509505703422, + "grad_norm": 0.6726493934897552, + "learning_rate": 1.0178558119067316e-07, + "loss": 0.2831, + "step": 1009 + }, + { + "epoch": 1.920152091254753, + "grad_norm": 0.6855639947595032, + "learning_rate": 9.711400574749507e-08, + "loss": 0.2824, + "step": 1010 + }, + { + "epoch": 1.9220532319391634, + "grad_norm": 0.6432583692832848, + "learning_rate": 9.255164443990994e-08, + "loss": 0.2867, + "step": 1011 + }, + { + "epoch": 1.9239543726235742, + "grad_norm": 0.7078077377520312, + "learning_rate": 8.809854758399017e-08, + "loss": 0.2918, + "step": 1012 + }, + { + "epoch": 1.9258555133079849, + "grad_norm": 0.660901140817257, + "learning_rate": 8.375476429078543e-08, + "loss": 0.2875, + "step": 1013 + }, + { + "epoch": 1.9277566539923954, + "grad_norm": 0.6860940210532674, + "learning_rate": 7.952034246577977e-08, + "loss": 0.2825, + "step": 1014 + }, + { + "epoch": 1.929657794676806, + "grad_norm": 0.6498169252729303, + "learning_rate": 7.539532880836087e-08, + "loss": 0.278, + "step": 1015 + }, + { + "epoch": 1.9315589353612168, + "grad_norm": 0.6357966300013042, + "learning_rate": 7.137976881130826e-08, + "loss": 0.2784, + "step": 1016 + }, + { + "epoch": 1.9334600760456273, + "grad_norm": 0.6861147896273655, + "learning_rate": 6.747370676028819e-08, + "loss": 0.2845, + "step": 1017 + }, + { + "epoch": 1.935361216730038, + "grad_norm": 0.700374051250366, + "learning_rate": 6.367718573336845e-08, + "loss": 0.2831, + "step": 1018 + }, + { + "epoch": 1.9372623574144487, + "grad_norm": 0.7249233057770381, + "learning_rate": 5.999024760054095e-08, + "loss": 0.3007, + "step": 1019 + }, + { + "epoch": 1.9391634980988592, + "grad_norm": 0.6740399420167456, + "learning_rate": 5.641293302326323e-08, + "loss": 0.2914, + "step": 1020 + }, + { + "epoch": 1.94106463878327, + "grad_norm": 0.6831861473311723, + "learning_rate": 5.2945281454003236e-08, + "loss": 0.2836, + "step": 1021 + }, + { + "epoch": 1.9429657794676807, + "grad_norm": 0.6692750270704219, + "learning_rate": 4.958733113581415e-08, + "loss": 0.29, + "step": 1022 + }, + { + "epoch": 1.9448669201520912, + "grad_norm": 0.6803361684070416, + "learning_rate": 4.6339119101902475e-08, + "loss": 0.2864, + "step": 1023 + }, + { + "epoch": 1.946768060836502, + "grad_norm": 0.6835393511708907, + "learning_rate": 4.320068117522835e-08, + "loss": 0.2931, + "step": 1024 + }, + { + "epoch": 1.9486692015209126, + "grad_norm": 0.6904115210272912, + "learning_rate": 4.0172051968101474e-08, + "loss": 0.2872, + "step": 1025 + }, + { + "epoch": 1.950570342205323, + "grad_norm": 0.6330189661558953, + "learning_rate": 3.7253264881809137e-08, + "loss": 0.2789, + "step": 1026 + }, + { + "epoch": 1.9524714828897338, + "grad_norm": 0.6652552000909566, + "learning_rate": 3.4444352106242086e-08, + "loss": 0.2949, + "step": 1027 + }, + { + "epoch": 1.9543726235741445, + "grad_norm": 0.6835903830000685, + "learning_rate": 3.174534461953593e-08, + "loss": 0.297, + "step": 1028 + }, + { + "epoch": 1.956273764258555, + "grad_norm": 0.6721191967262458, + "learning_rate": 2.915627218774142e-08, + "loss": 0.2903, + "step": 1029 + }, + { + "epoch": 1.9581749049429658, + "grad_norm": 0.7001954816115531, + "learning_rate": 2.667716336448356e-08, + "loss": 0.299, + "step": 1030 + }, + { + "epoch": 1.9600760456273765, + "grad_norm": 0.6588780264825448, + "learning_rate": 2.430804549065302e-08, + "loss": 0.2925, + "step": 1031 + }, + { + "epoch": 1.961977186311787, + "grad_norm": 0.6750856277947396, + "learning_rate": 2.2048944694104123e-08, + "loss": 0.2901, + "step": 1032 + }, + { + "epoch": 1.9638783269961977, + "grad_norm": 0.7044566136465064, + "learning_rate": 1.989988588936509e-08, + "loss": 0.2935, + "step": 1033 + }, + { + "epoch": 1.9657794676806084, + "grad_norm": 0.6758762388127414, + "learning_rate": 1.7860892777367133e-08, + "loss": 0.2857, + "step": 1034 + }, + { + "epoch": 1.967680608365019, + "grad_norm": 0.6423479164680296, + "learning_rate": 1.5931987845176912e-08, + "loss": 0.2716, + "step": 1035 + }, + { + "epoch": 1.9695817490494296, + "grad_norm": 0.6583540521286209, + "learning_rate": 1.411319236575337e-08, + "loss": 0.2817, + "step": 1036 + }, + { + "epoch": 1.9714828897338403, + "grad_norm": 0.7234443830067822, + "learning_rate": 1.2404526397711281e-08, + "loss": 0.3049, + "step": 1037 + }, + { + "epoch": 1.9733840304182508, + "grad_norm": 0.6687518470436962, + "learning_rate": 1.0806008785100297e-08, + "loss": 0.2705, + "step": 1038 + }, + { + "epoch": 1.9752851711026616, + "grad_norm": 0.7844975620686251, + "learning_rate": 9.317657157197347e-09, + "loss": 0.3016, + "step": 1039 + }, + { + "epoch": 1.9771863117870723, + "grad_norm": 0.7144191818427592, + "learning_rate": 7.93948792831234e-09, + "loss": 0.2938, + "step": 1040 + }, + { + "epoch": 1.9790874524714828, + "grad_norm": 0.6732522305643281, + "learning_rate": 6.671516297606095e-09, + "loss": 0.2865, + "step": 1041 + }, + { + "epoch": 1.9809885931558935, + "grad_norm": 0.6576157461437023, + "learning_rate": 5.513756248924917e-09, + "loss": 0.2922, + "step": 1042 + }, + { + "epoch": 1.9828897338403042, + "grad_norm": 0.6830289546875221, + "learning_rate": 4.466220550641831e-09, + "loss": 0.2801, + "step": 1043 + }, + { + "epoch": 1.9847908745247147, + "grad_norm": 0.6826786269023402, + "learning_rate": 3.528920755523357e-09, + "loss": 0.288, + "step": 1044 + }, + { + "epoch": 1.9866920152091256, + "grad_norm": 0.6952271637512921, + "learning_rate": 2.701867200592956e-09, + "loss": 0.2829, + "step": 1045 + }, + { + "epoch": 1.9885931558935361, + "grad_norm": 0.6708828460313605, + "learning_rate": 1.9850690070266633e-09, + "loss": 0.2933, + "step": 1046 + }, + { + "epoch": 1.9904942965779466, + "grad_norm": 0.7006126020844139, + "learning_rate": 1.378534080042071e-09, + "loss": 0.2937, + "step": 1047 + }, + { + "epoch": 1.9923954372623576, + "grad_norm": 0.6810197712497644, + "learning_rate": 8.822691088195001e-10, + "loss": 0.2896, + "step": 1048 + }, + { + "epoch": 1.994296577946768, + "grad_norm": 0.6634019955658176, + "learning_rate": 4.962795664265052e-10, + "loss": 0.28, + "step": 1049 + }, + { + "epoch": 1.9961977186311786, + "grad_norm": 0.6783418657468078, + "learning_rate": 2.2056970975459223e-10, + "loss": 0.2838, + "step": 1050 + }, + { + "epoch": 1.9980988593155895, + "grad_norm": 0.8501728865841743, + "learning_rate": 5.514257947369928e-11, + "loss": 0.3105, + "step": 1051 + }, + { + "epoch": 2.0, + "grad_norm": 0.647174266772532, + "learning_rate": 0.0, + "loss": 0.2831, + "step": 1052 + }, + { + "epoch": 2.0, + "step": 1052, + "total_flos": 110069417902080.0, + "train_loss": 0.3732619928656422, + "train_runtime": 3524.051, + "train_samples_per_second": 38.211, + "train_steps_per_second": 0.299 + } + ], + "logging_steps": 1, + "max_steps": 1052, + "num_input_tokens_seen": 0, + "num_train_epochs": 2, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": true + }, + "attributes": {} + } + }, + "total_flos": 110069417902080.0, + "train_batch_size": 2, + "trial_name": null, + "trial_params": null +}