|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.014971180477580658, |
|
"eval_steps": 4, |
|
"global_step": 50, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0002994236095516131, |
|
"grad_norm": 16.735450744628906, |
|
"learning_rate": 2e-05, |
|
"loss": 10.969, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0002994236095516131, |
|
"eval_loss": 11.57262897491455, |
|
"eval_runtime": 82.9715, |
|
"eval_samples_per_second": 8.485, |
|
"eval_steps_per_second": 8.485, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0005988472191032262, |
|
"grad_norm": 10.167157173156738, |
|
"learning_rate": 4e-05, |
|
"loss": 10.7129, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.0008982708286548395, |
|
"grad_norm": 15.215925216674805, |
|
"learning_rate": 6e-05, |
|
"loss": 10.434, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.0011976944382064525, |
|
"grad_norm": 15.04845142364502, |
|
"learning_rate": 8e-05, |
|
"loss": 9.5194, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0011976944382064525, |
|
"eval_loss": 11.429813385009766, |
|
"eval_runtime": 85.0662, |
|
"eval_samples_per_second": 8.276, |
|
"eval_steps_per_second": 8.276, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.0014971180477580657, |
|
"grad_norm": 17.0161075592041, |
|
"learning_rate": 0.0001, |
|
"loss": 10.8734, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.001796541657309679, |
|
"grad_norm": 17.905702590942383, |
|
"learning_rate": 0.00012, |
|
"loss": 11.8788, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.002095965266861292, |
|
"grad_norm": 21.928312301635742, |
|
"learning_rate": 0.00014, |
|
"loss": 10.4667, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.002395388876412905, |
|
"grad_norm": 13.790472030639648, |
|
"learning_rate": 0.00016, |
|
"loss": 9.8745, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.002395388876412905, |
|
"eval_loss": 9.637001037597656, |
|
"eval_runtime": 85.1568, |
|
"eval_samples_per_second": 8.267, |
|
"eval_steps_per_second": 8.267, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.002694812485964518, |
|
"grad_norm": 12.036263465881348, |
|
"learning_rate": 0.00018, |
|
"loss": 7.8039, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.0029942360955161314, |
|
"grad_norm": 13.046463012695312, |
|
"learning_rate": 0.0002, |
|
"loss": 7.8042, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.0032936597050677446, |
|
"grad_norm": 24.538808822631836, |
|
"learning_rate": 0.0001996917333733128, |
|
"loss": 8.7757, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.003593083314619358, |
|
"grad_norm": 26.114961624145508, |
|
"learning_rate": 0.00019876883405951377, |
|
"loss": 5.6577, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.003593083314619358, |
|
"eval_loss": 5.31056022644043, |
|
"eval_runtime": 85.1933, |
|
"eval_samples_per_second": 8.264, |
|
"eval_steps_per_second": 8.264, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.003892506924170971, |
|
"grad_norm": 17.937646865844727, |
|
"learning_rate": 0.00019723699203976766, |
|
"loss": 4.7382, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.004191930533722584, |
|
"grad_norm": 21.441980361938477, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 5.3976, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.0044913541432741975, |
|
"grad_norm": 32.05086898803711, |
|
"learning_rate": 0.0001923879532511287, |
|
"loss": 3.6275, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.00479077775282581, |
|
"grad_norm": 43.66167449951172, |
|
"learning_rate": 0.0001891006524188368, |
|
"loss": 2.7349, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.00479077775282581, |
|
"eval_loss": 4.855716705322266, |
|
"eval_runtime": 83.6415, |
|
"eval_samples_per_second": 8.417, |
|
"eval_steps_per_second": 8.417, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.005090201362377423, |
|
"grad_norm": 26.169757843017578, |
|
"learning_rate": 0.00018526401643540922, |
|
"loss": 4.8565, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.005389624971929036, |
|
"grad_norm": 27.142152786254883, |
|
"learning_rate": 0.00018090169943749476, |
|
"loss": 4.9723, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.00568904858148065, |
|
"grad_norm": 18.188777923583984, |
|
"learning_rate": 0.0001760405965600031, |
|
"loss": 2.6307, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.005988472191032263, |
|
"grad_norm": 21.539011001586914, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 3.5522, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.005988472191032263, |
|
"eval_loss": 4.069602012634277, |
|
"eval_runtime": 83.15, |
|
"eval_samples_per_second": 8.467, |
|
"eval_steps_per_second": 8.467, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.006287895800583876, |
|
"grad_norm": 18.60074806213379, |
|
"learning_rate": 0.00016494480483301836, |
|
"loss": 4.4333, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.006587319410135489, |
|
"grad_norm": 15.545724868774414, |
|
"learning_rate": 0.00015877852522924732, |
|
"loss": 3.6316, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.0068867430196871025, |
|
"grad_norm": 23.216941833496094, |
|
"learning_rate": 0.0001522498564715949, |
|
"loss": 3.2189, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.007186166629238716, |
|
"grad_norm": 16.716583251953125, |
|
"learning_rate": 0.00014539904997395468, |
|
"loss": 3.0378, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.007186166629238716, |
|
"eval_loss": 3.7071402072906494, |
|
"eval_runtime": 83.2372, |
|
"eval_samples_per_second": 8.458, |
|
"eval_steps_per_second": 8.458, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.007485590238790329, |
|
"grad_norm": 18.92926597595215, |
|
"learning_rate": 0.000138268343236509, |
|
"loss": 2.2366, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.007785013848341942, |
|
"grad_norm": 30.20500946044922, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 3.3568, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.008084437457893555, |
|
"grad_norm": 15.139212608337402, |
|
"learning_rate": 0.00012334453638559057, |
|
"loss": 3.0559, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.008383861067445169, |
|
"grad_norm": 20.157346725463867, |
|
"learning_rate": 0.0001156434465040231, |
|
"loss": 3.2366, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.008383861067445169, |
|
"eval_loss": 3.518523931503296, |
|
"eval_runtime": 83.1412, |
|
"eval_samples_per_second": 8.468, |
|
"eval_steps_per_second": 8.468, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.008683284676996781, |
|
"grad_norm": 16.283584594726562, |
|
"learning_rate": 0.0001078459095727845, |
|
"loss": 3.5697, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 0.008982708286548395, |
|
"grad_norm": 32.41582489013672, |
|
"learning_rate": 0.0001, |
|
"loss": 3.4125, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.009282131896100007, |
|
"grad_norm": 26.877944946289062, |
|
"learning_rate": 9.215409042721552e-05, |
|
"loss": 3.3671, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 0.00958155550565162, |
|
"grad_norm": 27.856897354125977, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 3.5875, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.00958155550565162, |
|
"eval_loss": 3.401846408843994, |
|
"eval_runtime": 83.4215, |
|
"eval_samples_per_second": 8.439, |
|
"eval_steps_per_second": 8.439, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.009880979115203234, |
|
"grad_norm": 41.4135627746582, |
|
"learning_rate": 7.66554636144095e-05, |
|
"loss": 3.9928, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.010180402724754846, |
|
"grad_norm": 29.63922882080078, |
|
"learning_rate": 6.909830056250527e-05, |
|
"loss": 2.1258, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.01047982633430646, |
|
"grad_norm": 34.11370086669922, |
|
"learning_rate": 6.173165676349103e-05, |
|
"loss": 2.8219, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.010779249943858073, |
|
"grad_norm": 19.921571731567383, |
|
"learning_rate": 5.4600950026045326e-05, |
|
"loss": 4.0769, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.010779249943858073, |
|
"eval_loss": 3.3533554077148438, |
|
"eval_runtime": 83.2266, |
|
"eval_samples_per_second": 8.459, |
|
"eval_steps_per_second": 8.459, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.011078673553409687, |
|
"grad_norm": 21.9058895111084, |
|
"learning_rate": 4.7750143528405126e-05, |
|
"loss": 2.9877, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 0.0113780971629613, |
|
"grad_norm": 20.251365661621094, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 2.4354, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 0.011677520772512913, |
|
"grad_norm": 31.047348022460938, |
|
"learning_rate": 3.5055195166981645e-05, |
|
"loss": 3.9592, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.011976944382064526, |
|
"grad_norm": 20.160734176635742, |
|
"learning_rate": 2.9289321881345254e-05, |
|
"loss": 2.8831, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.011976944382064526, |
|
"eval_loss": 3.2888846397399902, |
|
"eval_runtime": 83.3941, |
|
"eval_samples_per_second": 8.442, |
|
"eval_steps_per_second": 8.442, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.01227636799161614, |
|
"grad_norm": 22.80976104736328, |
|
"learning_rate": 2.3959403439996907e-05, |
|
"loss": 3.3648, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 0.012575791601167752, |
|
"grad_norm": 40.02175521850586, |
|
"learning_rate": 1.9098300562505266e-05, |
|
"loss": 3.0131, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.012875215210719364, |
|
"grad_norm": 40.88200759887695, |
|
"learning_rate": 1.4735983564590783e-05, |
|
"loss": 4.2676, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 0.013174638820270979, |
|
"grad_norm": 44.29335021972656, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 3.5078, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.013174638820270979, |
|
"eval_loss": 3.2594785690307617, |
|
"eval_runtime": 83.3165, |
|
"eval_samples_per_second": 8.45, |
|
"eval_steps_per_second": 8.45, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.013474062429822591, |
|
"grad_norm": 34.80168151855469, |
|
"learning_rate": 7.612046748871327e-06, |
|
"loss": 4.7818, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.013773486039374205, |
|
"grad_norm": 25.594444274902344, |
|
"learning_rate": 4.8943483704846475e-06, |
|
"loss": 3.0296, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 0.014072909648925817, |
|
"grad_norm": 39.9898567199707, |
|
"learning_rate": 2.7630079602323442e-06, |
|
"loss": 1.9811, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 0.014372333258477431, |
|
"grad_norm": 58.41755294799805, |
|
"learning_rate": 1.231165940486234e-06, |
|
"loss": 2.8259, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.014372333258477431, |
|
"eval_loss": 3.2478675842285156, |
|
"eval_runtime": 83.2404, |
|
"eval_samples_per_second": 8.457, |
|
"eval_steps_per_second": 8.457, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.014671756868029044, |
|
"grad_norm": 47.00809860229492, |
|
"learning_rate": 3.0826662668720364e-07, |
|
"loss": 3.4149, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 0.014971180477580658, |
|
"grad_norm": 37.111209869384766, |
|
"learning_rate": 0.0, |
|
"loss": 3.3272, |
|
"step": 50 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 50, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 4, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.85471820890112e+16, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|