| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 4.0, |
| "eval_steps": 1024, |
| "global_step": 8100, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.06320987654320988, |
| "grad_norm": 1.8168452978134155, |
| "learning_rate": 0.000248046875, |
| "loss": 3.4849891662597656, |
| "step": 128 |
| }, |
| { |
| "epoch": 0.12641975308641976, |
| "grad_norm": 3.4383368492126465, |
| "learning_rate": 0.000498046875, |
| "loss": 1.282984972000122, |
| "step": 256 |
| }, |
| { |
| "epoch": 0.18962962962962962, |
| "grad_norm": 1.2715426683425903, |
| "learning_rate": 0.000748046875, |
| "loss": 1.0911226272583008, |
| "step": 384 |
| }, |
| { |
| "epoch": 0.2528395061728395, |
| "grad_norm": 1.0402259826660156, |
| "learning_rate": 0.000998046875, |
| "loss": 1.0667308568954468, |
| "step": 512 |
| }, |
| { |
| "epoch": 0.3160493827160494, |
| "grad_norm": 0.7335332036018372, |
| "learning_rate": 0.0009993089770195807, |
| "loss": 1.0423768758773804, |
| "step": 640 |
| }, |
| { |
| "epoch": 0.37925925925925924, |
| "grad_norm": 1.2647337913513184, |
| "learning_rate": 0.0009972160460972733, |
| "loss": 1.0243909358978271, |
| "step": 768 |
| }, |
| { |
| "epoch": 0.44246913580246916, |
| "grad_norm": 1.6875989437103271, |
| "learning_rate": 0.0009937270408736224, |
| "loss": 1.015304446220398, |
| "step": 896 |
| }, |
| { |
| "epoch": 0.505679012345679, |
| "grad_norm": 0.8772087097167969, |
| "learning_rate": 0.0009888517577149526, |
| "loss": 1.0097696781158447, |
| "step": 1024 |
| }, |
| { |
| "epoch": 0.505679012345679, |
| "eval_bleu": 0.0, |
| "eval_cos_loss": 0.6681160955894284, |
| "eval_loss": 1.0068177740748336, |
| "eval_mse_loss": 1.0068177740748336, |
| "step": 1024 |
| }, |
| { |
| "epoch": 0.505679012345679, |
| "eval_bleu": 0.0, |
| "eval_cos_loss": 0.6681160955894284, |
| "eval_loss": 1.0068177740748336, |
| "eval_mse_loss": 1.0068177740748336, |
| "eval_runtime": 17.5866, |
| "eval_samples_per_second": 148.863, |
| "eval_steps_per_second": 2.331, |
| "step": 1024 |
| }, |
| { |
| "epoch": 0.5688888888888889, |
| "grad_norm": 0.9257954359054565, |
| "learning_rate": 0.0009826038853539248, |
| "loss": 1.0054709911346436, |
| "step": 1152 |
| }, |
| { |
| "epoch": 0.6320987654320988, |
| "grad_norm": 1.2401124238967896, |
| "learning_rate": 0.0009750009664545572, |
| "loss": 1.0001628398895264, |
| "step": 1280 |
| }, |
| { |
| "epoch": 0.6953086419753086, |
| "grad_norm": 0.9945711493492126, |
| "learning_rate": 0.0009660643483562486, |
| "loss": 0.9950642585754395, |
| "step": 1408 |
| }, |
| { |
| "epoch": 0.7585185185185185, |
| "grad_norm": 0.4016058146953583, |
| "learning_rate": 0.0009558191231351013, |
| "loss": 0.9919660091400146, |
| "step": 1536 |
| }, |
| { |
| "epoch": 0.8217283950617283, |
| "grad_norm": 0.4495377540588379, |
| "learning_rate": 0.0009442940571508399, |
| "loss": 0.9906907081604004, |
| "step": 1664 |
| }, |
| { |
| "epoch": 0.8849382716049383, |
| "grad_norm": 1.0224924087524414, |
| "learning_rate": 0.0009315215102771411, |
| "loss": 0.990159809589386, |
| "step": 1792 |
| }, |
| { |
| "epoch": 0.9481481481481482, |
| "grad_norm": 0.7064864039421082, |
| "learning_rate": 0.0009175373450421618, |
| "loss": 0.9885232448577881, |
| "step": 1920 |
| }, |
| { |
| "epoch": 1.011358024691358, |
| "grad_norm": 0.6735867857933044, |
| "learning_rate": 0.0009023808259343743, |
| "loss": 0.9828425645828247, |
| "step": 2048 |
| }, |
| { |
| "epoch": 1.011358024691358, |
| "eval_bleu": 0.0020327926577703463, |
| "eval_cos_loss": 0.6557952049301892, |
| "eval_loss": 0.9808391550692116, |
| "eval_mse_loss": 0.9808391550692116, |
| "step": 2048 |
| }, |
| { |
| "epoch": 1.011358024691358, |
| "eval_bleu": 0.0020327926577703463, |
| "eval_cos_loss": 0.6557952049301892, |
| "eval_loss": 0.9808391550692116, |
| "eval_mse_loss": 0.9808391550692116, |
| "eval_runtime": 17.3438, |
| "eval_samples_per_second": 150.948, |
| "eval_steps_per_second": 2.364, |
| "step": 2048 |
| }, |
| { |
| "epoch": 1.074567901234568, |
| "grad_norm": 0.8397714495658875, |
| "learning_rate": 0.0008860945091564399, |
| "loss": 0.9799662232398987, |
| "step": 2176 |
| }, |
| { |
| "epoch": 1.1377777777777778, |
| "grad_norm": 0.48910048604011536, |
| "learning_rate": 0.0008687241231366662, |
| "loss": 0.9816181063652039, |
| "step": 2304 |
| }, |
| { |
| "epoch": 1.2009876543209876, |
| "grad_norm": 0.5660194158554077, |
| "learning_rate": 0.0008503184401335448, |
| "loss": 0.9848842620849609, |
| "step": 2432 |
| }, |
| { |
| "epoch": 1.2641975308641975, |
| "grad_norm": 0.4576466977596283, |
| "learning_rate": 0.0008309291392938795, |
| "loss": 0.982272744178772, |
| "step": 2560 |
| }, |
| { |
| "epoch": 1.3274074074074074, |
| "grad_norm": 1.350696086883545, |
| "learning_rate": 0.0008106106615490032, |
| "loss": 0.9800283908843994, |
| "step": 2688 |
| }, |
| { |
| "epoch": 1.3906172839506172, |
| "grad_norm": 0.606335461139679, |
| "learning_rate": 0.0007894200567565075, |
| "loss": 0.9786688685417175, |
| "step": 2816 |
| }, |
| { |
| "epoch": 1.453827160493827, |
| "grad_norm": 0.8053555488586426, |
| "learning_rate": 0.0007674168235166747, |
| "loss": 0.9759098887443542, |
| "step": 2944 |
| }, |
| { |
| "epoch": 1.5170370370370372, |
| "grad_norm": 0.4296761751174927, |
| "learning_rate": 0.000744662742113375, |
| "loss": 0.9750839471817017, |
| "step": 3072 |
| }, |
| { |
| "epoch": 1.5170370370370372, |
| "eval_bleu": 0.001550567530729039, |
| "eval_cos_loss": 0.653304009902768, |
| "eval_loss": 0.9743910940682016, |
| "eval_mse_loss": 0.9743910940682016, |
| "step": 3072 |
| }, |
| { |
| "epoch": 1.5170370370370372, |
| "eval_bleu": 0.001550567530729039, |
| "eval_cos_loss": 0.653304009902768, |
| "eval_loss": 0.9743910940682016, |
| "eval_mse_loss": 0.9743910940682016, |
| "eval_runtime": 17.0839, |
| "eval_samples_per_second": 153.244, |
| "eval_steps_per_second": 2.4, |
| "step": 3072 |
| }, |
| { |
| "epoch": 1.5802469135802468, |
| "grad_norm": 0.5009872317314148, |
| "learning_rate": 0.0007212217010484917, |
| "loss": 0.9776103496551514, |
| "step": 3200 |
| }, |
| { |
| "epoch": 1.643456790123457, |
| "grad_norm": 0.4625374674797058, |
| "learning_rate": 0.0006971595176569332, |
| "loss": 0.9762816429138184, |
| "step": 3328 |
| }, |
| { |
| "epoch": 1.7066666666666666, |
| "grad_norm": 0.5958267450332642, |
| "learning_rate": 0.0006725437533058971, |
| "loss": 0.9745242595672607, |
| "step": 3456 |
| }, |
| { |
| "epoch": 1.7698765432098766, |
| "grad_norm": 0.9703472852706909, |
| "learning_rate": 0.0006474435236972767, |
| "loss": 0.9753237366676331, |
| "step": 3584 |
| }, |
| { |
| "epoch": 1.8330864197530863, |
| "grad_norm": 0.346620112657547, |
| "learning_rate": 0.0006219293048058301, |
| "loss": 0.9756260514259338, |
| "step": 3712 |
| }, |
| { |
| "epoch": 1.8962962962962964, |
| "grad_norm": 0.5703808665275574, |
| "learning_rate": 0.0005960727349980042, |
| "loss": 0.970862865447998, |
| "step": 3840 |
| }, |
| { |
| "epoch": 1.959506172839506, |
| "grad_norm": 0.42382702231407166, |
| "learning_rate": 0.0005699464138870106, |
| "loss": 0.9738116264343262, |
| "step": 3968 |
| }, |
| { |
| "epoch": 2.022716049382716, |
| "grad_norm": 0.42642295360565186, |
| "learning_rate": 0.0005436236984889356, |
| "loss": 0.9707122445106506, |
| "step": 4096 |
| }, |
| { |
| "epoch": 2.022716049382716, |
| "eval_bleu": 0.003457283045849753, |
| "eval_cos_loss": 0.6549375914945835, |
| "eval_loss": 0.9716728445960254, |
| "eval_mse_loss": 0.9716728445960254, |
| "step": 4096 |
| }, |
| { |
| "epoch": 2.022716049382716, |
| "eval_bleu": 0.003457283045849753, |
| "eval_cos_loss": 0.6549375914945835, |
| "eval_loss": 0.9716728445960254, |
| "eval_mse_loss": 0.9716728445960254, |
| "eval_runtime": 17.5486, |
| "eval_samples_per_second": 149.186, |
| "eval_steps_per_second": 2.336, |
| "step": 4096 |
| }, |
| { |
| "epoch": 2.0859259259259257, |
| "grad_norm": 0.36422199010849, |
| "learning_rate": 0.0005171784972522235, |
| "loss": 0.9708704352378845, |
| "step": 4224 |
| }, |
| { |
| "epoch": 2.149135802469136, |
| "grad_norm": 0.6977311372756958, |
| "learning_rate": 0.0004906850625388614, |
| "loss": 0.9703112244606018, |
| "step": 4352 |
| }, |
| { |
| "epoch": 2.212345679012346, |
| "grad_norm": 0.37942081689834595, |
| "learning_rate": 0.0004642177821399269, |
| "loss": 0.9709182977676392, |
| "step": 4480 |
| }, |
| { |
| "epoch": 2.2755555555555556, |
| "grad_norm": 0.3576072156429291, |
| "learning_rate": 0.00043785097041088293, |
| "loss": 0.9707843065261841, |
| "step": 4608 |
| }, |
| { |
| "epoch": 2.338765432098765, |
| "grad_norm": 0.3725082278251648, |
| "learning_rate": 0.00041165865961306135, |
| "loss": 0.966793954372406, |
| "step": 4736 |
| }, |
| { |
| "epoch": 2.4019753086419753, |
| "grad_norm": 0.2623865008354187, |
| "learning_rate": 0.000385714392047208, |
| "loss": 0.9677779078483582, |
| "step": 4864 |
| }, |
| { |
| "epoch": 2.4651851851851854, |
| "grad_norm": 0.4568561911582947, |
| "learning_rate": 0.00036009101356272814, |
| "loss": 0.9753569960594177, |
| "step": 4992 |
| }, |
| { |
| "epoch": 2.528395061728395, |
| "grad_norm": 0.49066415429115295, |
| "learning_rate": 0.00033486046902241664, |
| "loss": 0.9661346673965454, |
| "step": 5120 |
| }, |
| { |
| "epoch": 2.528395061728395, |
| "eval_bleu": 0.003345180086375018, |
| "eval_cos_loss": 0.6469777037457722, |
| "eval_loss": 0.9654292958538707, |
| "eval_mse_loss": 0.9654292958538707, |
| "step": 5120 |
| }, |
| { |
| "epoch": 2.528395061728395, |
| "eval_bleu": 0.003345180086375018, |
| "eval_cos_loss": 0.6469777037457722, |
| "eval_loss": 0.9654292958538707, |
| "eval_mse_loss": 0.9654292958538707, |
| "eval_runtime": 16.8316, |
| "eval_samples_per_second": 155.541, |
| "eval_steps_per_second": 2.436, |
| "step": 5120 |
| }, |
| { |
| "epoch": 2.591604938271605, |
| "grad_norm": 0.6127116680145264, |
| "learning_rate": 0.00031009360029696107, |
| "loss": 0.9650511145591736, |
| "step": 5248 |
| }, |
| { |
| "epoch": 2.6548148148148147, |
| "grad_norm": 0.37896695733070374, |
| "learning_rate": 0.00028585994735640823, |
| "loss": 0.9659166932106018, |
| "step": 5376 |
| }, |
| { |
| "epoch": 2.718024691358025, |
| "grad_norm": 0.4591119885444641, |
| "learning_rate": 0.0002622275530170825, |
| "loss": 0.9637454152107239, |
| "step": 5504 |
| }, |
| { |
| "epoch": 2.7812345679012345, |
| "grad_norm": 0.5013575553894043, |
| "learning_rate": 0.0002392627718921852, |
| "loss": 0.9639162421226501, |
| "step": 5632 |
| }, |
| { |
| "epoch": 2.8444444444444446, |
| "grad_norm": 0.3516771197319031, |
| "learning_rate": 0.00021703008408250187, |
| "loss": 0.9626727104187012, |
| "step": 5760 |
| }, |
| { |
| "epoch": 2.907654320987654, |
| "grad_norm": 0.3407333791255951, |
| "learning_rate": 0.00019559191413033017, |
| "loss": 0.9621551036834717, |
| "step": 5888 |
| }, |
| { |
| "epoch": 2.9708641975308643, |
| "grad_norm": 0.26509255170822144, |
| "learning_rate": 0.00017500845574497032, |
| "loss": 0.9614520072937012, |
| "step": 6016 |
| }, |
| { |
| "epoch": 3.034074074074074, |
| "grad_norm": 0.33290010690689087, |
| "learning_rate": 0.00015533750279190617, |
| "loss": 0.9614716172218323, |
| "step": 6144 |
| }, |
| { |
| "epoch": 3.034074074074074, |
| "eval_bleu": 0.004510767224176567, |
| "eval_cos_loss": 0.6460333800897365, |
| "eval_loss": 0.9615877198009957, |
| "eval_mse_loss": 0.9615877198009957, |
| "step": 6144 |
| }, |
| { |
| "epoch": 3.034074074074074, |
| "eval_bleu": 0.004510767224176567, |
| "eval_cos_loss": 0.6460333800897365, |
| "eval_loss": 0.9615877198009957, |
| "eval_mse_loss": 0.9615877198009957, |
| "eval_runtime": 16.8514, |
| "eval_samples_per_second": 155.358, |
| "eval_steps_per_second": 2.433, |
| "step": 6144 |
| }, |
| { |
| "epoch": 3.097283950617284, |
| "grad_norm": 0.33247849345207214, |
| "learning_rate": 0.000136634287020226, |
| "loss": 0.9614198207855225, |
| "step": 6272 |
| }, |
| { |
| "epoch": 3.1604938271604937, |
| "grad_norm": 0.2738645374774933, |
| "learning_rate": 0.00011895132298390743, |
| "loss": 0.9605588316917419, |
| "step": 6400 |
| }, |
| { |
| "epoch": 3.2237037037037037, |
| "grad_norm": 0.2882324755191803, |
| "learning_rate": 0.00010233826059239426, |
| "loss": 0.9604360461235046, |
| "step": 6528 |
| }, |
| { |
| "epoch": 3.286913580246914, |
| "grad_norm": 0.302536278963089, |
| "learning_rate": 8.68417457044704e-05, |
| "loss": 0.9597956538200378, |
| "step": 6656 |
| }, |
| { |
| "epoch": 3.3501234567901235, |
| "grad_norm": 0.5232012867927551, |
| "learning_rate": 7.250528915685422e-05, |
| "loss": 0.9590287804603577, |
| "step": 6784 |
| }, |
| { |
| "epoch": 3.413333333333333, |
| "grad_norm": 0.21842055022716522, |
| "learning_rate": 5.93691445952505e-05, |
| "loss": 0.9591075778007507, |
| "step": 6912 |
| }, |
| { |
| "epoch": 3.476543209876543, |
| "grad_norm": 0.6795418858528137, |
| "learning_rate": 4.7470195450886376e-05, |
| "loss": 0.9593430161476135, |
| "step": 7040 |
| }, |
| { |
| "epoch": 3.5397530864197533, |
| "grad_norm": 0.18848949670791626, |
| "learning_rate": 3.684185137987378e-05, |
| "loss": 0.958720862865448, |
| "step": 7168 |
| }, |
| { |
| "epoch": 3.5397530864197533, |
| "eval_bleu": 0.004545481313600588, |
| "eval_cos_loss": 0.6461245112302827, |
| "eval_loss": 0.9590820045005984, |
| "eval_mse_loss": 0.9590820045005984, |
| "step": 7168 |
| }, |
| { |
| "epoch": 3.5397530864197533, |
| "eval_bleu": 0.004545481313600588, |
| "eval_cos_loss": 0.6461245112302827, |
| "eval_loss": 0.9590820045005984, |
| "eval_mse_loss": 0.9590820045005984, |
| "eval_runtime": 17.8655, |
| "eval_samples_per_second": 146.539, |
| "eval_steps_per_second": 2.295, |
| "step": 7168 |
| }, |
| { |
| "epoch": 3.602962962962963, |
| "grad_norm": 0.18368160724639893, |
| "learning_rate": 2.751395445617594e-05, |
| "loss": 0.9586146473884583, |
| "step": 7296 |
| }, |
| { |
| "epoch": 3.6661728395061726, |
| "grad_norm": 0.1991145759820938, |
| "learning_rate": 1.9512695381567302e-05, |
| "loss": 0.9582223892211914, |
| "step": 7424 |
| }, |
| { |
| "epoch": 3.7293827160493827, |
| "grad_norm": 0.3184373080730438, |
| "learning_rate": 1.2860539947850303e-05, |
| "loss": 0.9586706757545471, |
| "step": 7552 |
| }, |
| { |
| "epoch": 3.7925925925925927, |
| "grad_norm": 0.21128305792808533, |
| "learning_rate": 7.5761659578078565e-06, |
| "loss": 0.9583309888839722, |
| "step": 7680 |
| }, |
| { |
| "epoch": 3.8558024691358024, |
| "grad_norm": 0.17950057983398438, |
| "learning_rate": 3.674410782003812e-06, |
| "loss": 0.9576842784881592, |
| "step": 7808 |
| }, |
| { |
| "epoch": 3.9190123456790125, |
| "grad_norm": 0.1886749416589737, |
| "learning_rate": 1.1662296986795217e-06, |
| "loss": 0.9585922360420227, |
| "step": 7936 |
| }, |
| { |
| "epoch": 3.982222222222222, |
| "grad_norm": 0.18049107491970062, |
| "learning_rate": 5.866513372004834e-08, |
| "loss": 0.9581732749938965, |
| "step": 8064 |
| } |
| ], |
| "logging_steps": 128, |
| "max_steps": 8100, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 4, |
| "save_steps": 1024, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 0.0, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|