| { | |
| "best_metric": 1.0736711025238037, | |
| "best_model_checkpoint": "outputs/checkpoint-741", | |
| "epoch": 16.993252361673413, | |
| "eval_steps": 500, | |
| "global_step": 787, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.4318488529014845, | |
| "grad_norm": 1.7572729587554932, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 2.9109, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.863697705802969, | |
| "grad_norm": 1.7804350852966309, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 2.7779, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.9932523616734144, | |
| "eval_loss": 2.4225194454193115, | |
| "eval_runtime": 12.3603, | |
| "eval_samples_per_second": 30.096, | |
| "eval_steps_per_second": 3.802, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.2955465587044535, | |
| "grad_norm": 1.2646853923797607, | |
| "learning_rate": 1.2e-05, | |
| "loss": 2.4665, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.7273954116059378, | |
| "grad_norm": 0.6016279458999634, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 2.0703, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.9865047233468287, | |
| "eval_loss": 1.802353858947754, | |
| "eval_runtime": 12.3146, | |
| "eval_samples_per_second": 30.208, | |
| "eval_steps_per_second": 3.817, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.1592442645074224, | |
| "grad_norm": 0.5685097575187683, | |
| "learning_rate": 2e-05, | |
| "loss": 2.0044, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.591093117408907, | |
| "grad_norm": 0.5021196603775024, | |
| "learning_rate": 1.9970658011837404e-05, | |
| "loss": 1.8962, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.979757085020243, | |
| "eval_loss": 1.635912537574768, | |
| "eval_runtime": 12.2905, | |
| "eval_samples_per_second": 30.267, | |
| "eval_steps_per_second": 3.824, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 3.0229419703103915, | |
| "grad_norm": 0.7247435450553894, | |
| "learning_rate": 1.9882804237803487e-05, | |
| "loss": 1.8878, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 3.454790823211876, | |
| "grad_norm": 0.736103892326355, | |
| "learning_rate": 1.9736954238777793e-05, | |
| "loss": 1.7908, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.8866396761133606, | |
| "grad_norm": 0.7256895899772644, | |
| "learning_rate": 1.9533963920549307e-05, | |
| "loss": 1.7571, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 3.9946018893387314, | |
| "eval_loss": 1.50630784034729, | |
| "eval_runtime": 12.3056, | |
| "eval_samples_per_second": 30.23, | |
| "eval_steps_per_second": 3.819, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 4.318488529014845, | |
| "grad_norm": 0.9457058310508728, | |
| "learning_rate": 1.927502451102095e-05, | |
| "loss": 1.6802, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.75033738191633, | |
| "grad_norm": 1.0999541282653809, | |
| "learning_rate": 1.8961655569610557e-05, | |
| "loss": 1.6754, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 4.987854251012146, | |
| "eval_loss": 1.4030449390411377, | |
| "eval_runtime": 12.3178, | |
| "eval_samples_per_second": 30.2, | |
| "eval_steps_per_second": 3.816, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 5.182186234817814, | |
| "grad_norm": 0.947107195854187, | |
| "learning_rate": 1.8595696069872013e-05, | |
| "loss": 1.6317, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 5.614035087719298, | |
| "grad_norm": 1.141870141029358, | |
| "learning_rate": 1.8179293607667177e-05, | |
| "loss": 1.5657, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 5.98110661268556, | |
| "eval_loss": 1.318428874015808, | |
| "eval_runtime": 12.2941, | |
| "eval_samples_per_second": 30.258, | |
| "eval_steps_per_second": 3.823, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 6.045883940620783, | |
| "grad_norm": 1.174417495727539, | |
| "learning_rate": 1.7714891798219432e-05, | |
| "loss": 1.529, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 6.477732793522267, | |
| "grad_norm": 1.2409827709197998, | |
| "learning_rate": 1.720521593600787e-05, | |
| "loss": 1.4535, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 6.909581646423752, | |
| "grad_norm": 1.337241291999817, | |
| "learning_rate": 1.6653257001655652e-05, | |
| "loss": 1.4943, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 6.995951417004049, | |
| "eval_loss": 1.251551866531372, | |
| "eval_runtime": 12.3013, | |
| "eval_samples_per_second": 30.241, | |
| "eval_steps_per_second": 3.821, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 7.341430499325236, | |
| "grad_norm": 1.5739471912384033, | |
| "learning_rate": 1.6062254109666383e-05, | |
| "loss": 1.412, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 7.77327935222672, | |
| "grad_norm": 1.3894844055175781, | |
| "learning_rate": 1.5435675500012212e-05, | |
| "loss": 1.4226, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 7.989203778677463, | |
| "eval_loss": 1.2039802074432373, | |
| "eval_runtime": 12.2961, | |
| "eval_samples_per_second": 30.254, | |
| "eval_steps_per_second": 3.822, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 8.205128205128204, | |
| "grad_norm": 1.5219025611877441, | |
| "learning_rate": 1.477719818512263e-05, | |
| "loss": 1.3758, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 8.63697705802969, | |
| "grad_norm": 1.8435232639312744, | |
| "learning_rate": 1.4090686371713403e-05, | |
| "loss": 1.3446, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 8.982456140350877, | |
| "eval_loss": 1.1595730781555176, | |
| "eval_runtime": 12.2686, | |
| "eval_samples_per_second": 30.321, | |
| "eval_steps_per_second": 3.831, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 9.068825910931174, | |
| "grad_norm": 1.4322152137756348, | |
| "learning_rate": 1.3380168784085028e-05, | |
| "loss": 1.3416, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 9.50067476383266, | |
| "grad_norm": 1.7712641954421997, | |
| "learning_rate": 1.264981502196662e-05, | |
| "loss": 1.2809, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 9.932523616734143, | |
| "grad_norm": 1.577054500579834, | |
| "learning_rate": 1.1903911091646684e-05, | |
| "loss": 1.3033, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 9.997300944669366, | |
| "eval_loss": 1.1354897022247314, | |
| "eval_runtime": 12.2627, | |
| "eval_samples_per_second": 30.336, | |
| "eval_steps_per_second": 3.833, | |
| "step": 463 | |
| }, | |
| { | |
| "epoch": 10.364372469635628, | |
| "grad_norm": 1.8544738292694092, | |
| "learning_rate": 1.1146834253984008e-05, | |
| "loss": 1.2552, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 10.796221322537113, | |
| "grad_norm": 1.9725706577301025, | |
| "learning_rate": 1.0383027336900356e-05, | |
| "loss": 1.2186, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 10.99055330634278, | |
| "eval_loss": 1.1109498739242554, | |
| "eval_runtime": 12.2456, | |
| "eval_samples_per_second": 30.378, | |
| "eval_steps_per_second": 3.838, | |
| "step": 509 | |
| }, | |
| { | |
| "epoch": 11.228070175438596, | |
| "grad_norm": 1.9104483127593994, | |
| "learning_rate": 9.616972663099648e-06, | |
| "loss": 1.2626, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 11.65991902834008, | |
| "grad_norm": 2.256964921951294, | |
| "learning_rate": 8.853165746015997e-06, | |
| "loss": 1.224, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 11.983805668016194, | |
| "eval_loss": 1.100693702697754, | |
| "eval_runtime": 12.1688, | |
| "eval_samples_per_second": 30.57, | |
| "eval_steps_per_second": 3.862, | |
| "step": 555 | |
| }, | |
| { | |
| "epoch": 12.091767881241566, | |
| "grad_norm": 2.1132662296295166, | |
| "learning_rate": 8.096088908353316e-06, | |
| "loss": 1.1934, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 12.523616734143049, | |
| "grad_norm": 1.6598352193832397, | |
| "learning_rate": 7.350184978033386e-06, | |
| "loss": 1.175, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 12.955465587044534, | |
| "grad_norm": 2.5442428588867188, | |
| "learning_rate": 6.619831215914974e-06, | |
| "loss": 1.1688, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 12.998650472334683, | |
| "eval_loss": 1.08635675907135, | |
| "eval_runtime": 12.1828, | |
| "eval_samples_per_second": 30.535, | |
| "eval_steps_per_second": 3.858, | |
| "step": 602 | |
| }, | |
| { | |
| "epoch": 13.387314439946019, | |
| "grad_norm": 1.9692449569702148, | |
| "learning_rate": 5.9093136282866014e-06, | |
| "loss": 1.1366, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 13.819163292847504, | |
| "grad_norm": 2.064366340637207, | |
| "learning_rate": 5.22280181487737e-06, | |
| "loss": 1.1971, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 13.991902834008098, | |
| "eval_loss": 1.0831245183944702, | |
| "eval_runtime": 12.1763, | |
| "eval_samples_per_second": 30.551, | |
| "eval_steps_per_second": 3.86, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 14.251012145748987, | |
| "grad_norm": 2.0344982147216797, | |
| "learning_rate": 4.56432449998779e-06, | |
| "loss": 1.162, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 14.682860998650472, | |
| "grad_norm": 2.1550192832946777, | |
| "learning_rate": 3.937745890333623e-06, | |
| "loss": 1.1322, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 14.98515519568151, | |
| "eval_loss": 1.0802310705184937, | |
| "eval_runtime": 12.1751, | |
| "eval_samples_per_second": 30.554, | |
| "eval_steps_per_second": 3.86, | |
| "step": 694 | |
| }, | |
| { | |
| "epoch": 15.114709851551957, | |
| "grad_norm": 2.1858975887298584, | |
| "learning_rate": 3.3467429983443477e-06, | |
| "loss": 1.1555, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 15.54655870445344, | |
| "grad_norm": 2.1912343502044678, | |
| "learning_rate": 2.7947840639921308e-06, | |
| "loss": 1.1123, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 15.978407557354926, | |
| "grad_norm": 2.083388328552246, | |
| "learning_rate": 2.2851082017805704e-06, | |
| "loss": 1.1694, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_loss": 1.0736711025238037, | |
| "eval_runtime": 12.1577, | |
| "eval_samples_per_second": 30.598, | |
| "eval_steps_per_second": 3.866, | |
| "step": 741 | |
| }, | |
| { | |
| "epoch": 16.41025641025641, | |
| "grad_norm": 2.217958927154541, | |
| "learning_rate": 1.820706392332824e-06, | |
| "loss": 1.0918, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 16.842105263157894, | |
| "grad_norm": 2.019780397415161, | |
| "learning_rate": 1.4043039301279904e-06, | |
| "loss": 1.1445, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 16.993252361673413, | |
| "eval_loss": 1.0765767097473145, | |
| "eval_runtime": 12.1611, | |
| "eval_samples_per_second": 30.589, | |
| "eval_steps_per_second": 3.865, | |
| "step": 787 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 920, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "total_flos": 7.035222816423936e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |