| { | |
| "best_metric": 1.42880117893219, | |
| "best_model_checkpoint": "outputs/checkpoint-828", | |
| "epoch": 17.878542510121456, | |
| "eval_steps": 500, | |
| "global_step": 828, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.4318488529014845, | |
| "grad_norm": 0.9647712111473083, | |
| "learning_rate": 2.0000000000000003e-06, | |
| "loss": 2.3464, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.863697705802969, | |
| "grad_norm": 0.7620949149131775, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 2.3457, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.9932523616734144, | |
| "eval_loss": 2.172492504119873, | |
| "eval_runtime": 12.5552, | |
| "eval_samples_per_second": 29.629, | |
| "eval_steps_per_second": 3.743, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 1.2955465587044535, | |
| "grad_norm": 0.7905983924865723, | |
| "learning_rate": 6e-06, | |
| "loss": 2.3256, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.7273954116059378, | |
| "grad_norm": 0.8448758721351624, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 2.1999, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.9865047233468287, | |
| "eval_loss": 1.9573273658752441, | |
| "eval_runtime": 12.2982, | |
| "eval_samples_per_second": 30.248, | |
| "eval_steps_per_second": 3.822, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 2.1592442645074224, | |
| "grad_norm": 0.665162980556488, | |
| "learning_rate": 1e-05, | |
| "loss": 2.1343, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.591093117408907, | |
| "grad_norm": 0.5304886698722839, | |
| "learning_rate": 9.981389099710132e-06, | |
| "loss": 2.0325, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.979757085020243, | |
| "eval_loss": 1.8101614713668823, | |
| "eval_runtime": 12.0422, | |
| "eval_samples_per_second": 30.891, | |
| "eval_steps_per_second": 3.903, | |
| "step": 138 | |
| }, | |
| { | |
| "epoch": 3.0229419703103915, | |
| "grad_norm": 0.6249691247940063, | |
| "learning_rate": 9.925694945084369e-06, | |
| "loss": 2.038, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 3.454790823211876, | |
| "grad_norm": 0.549341082572937, | |
| "learning_rate": 9.833332143466099e-06, | |
| "loss": 1.9539, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.8866396761133606, | |
| "grad_norm": 0.5345794558525085, | |
| "learning_rate": 9.704988276811883e-06, | |
| "loss": 1.9295, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 3.9946018893387314, | |
| "eval_loss": 1.7296996116638184, | |
| "eval_runtime": 12.0445, | |
| "eval_samples_per_second": 30.885, | |
| "eval_steps_per_second": 3.902, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 4.318488529014845, | |
| "grad_norm": 0.6139589548110962, | |
| "learning_rate": 9.54161878308377e-06, | |
| "loss": 1.8949, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 4.75033738191633, | |
| "grad_norm": 0.6864662766456604, | |
| "learning_rate": 9.344439843625034e-06, | |
| "loss": 1.8976, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 4.987854251012146, | |
| "eval_loss": 1.6704739332199097, | |
| "eval_runtime": 12.0592, | |
| "eval_samples_per_second": 30.848, | |
| "eval_steps_per_second": 3.897, | |
| "step": 231 | |
| }, | |
| { | |
| "epoch": 5.182186234817814, | |
| "grad_norm": 0.5886803865432739, | |
| "learning_rate": 9.114919329468283e-06, | |
| "loss": 1.8686, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 5.614035087719298, | |
| "grad_norm": 0.6739407181739807, | |
| "learning_rate": 8.854765873974898e-06, | |
| "loss": 1.8265, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 5.98110661268556, | |
| "eval_loss": 1.6191655397415161, | |
| "eval_runtime": 12.0582, | |
| "eval_samples_per_second": 30.85, | |
| "eval_steps_per_second": 3.898, | |
| "step": 277 | |
| }, | |
| { | |
| "epoch": 6.045883940620783, | |
| "grad_norm": 0.7047673463821411, | |
| "learning_rate": 8.565916153152982e-06, | |
| "loss": 1.8201, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 6.477732793522267, | |
| "grad_norm": 0.6909105777740479, | |
| "learning_rate": 8.250520468343722e-06, | |
| "loss": 1.7656, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 6.909581646423752, | |
| "grad_norm": 0.7460944056510925, | |
| "learning_rate": 7.910926738603855e-06, | |
| "loss": 1.8038, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 6.995951417004049, | |
| "eval_loss": 1.5762709379196167, | |
| "eval_runtime": 12.0686, | |
| "eval_samples_per_second": 30.824, | |
| "eval_steps_per_second": 3.894, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 7.341430499325236, | |
| "grad_norm": 0.8885225653648376, | |
| "learning_rate": 7.5496630219506805e-06, | |
| "loss": 1.7428, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 7.77327935222672, | |
| "grad_norm": 0.771353542804718, | |
| "learning_rate": 7.169418695587791e-06, | |
| "loss": 1.7608, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 7.989203778677463, | |
| "eval_loss": 1.5418975353240967, | |
| "eval_runtime": 12.0558, | |
| "eval_samples_per_second": 30.857, | |
| "eval_steps_per_second": 3.899, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 8.205128205128204, | |
| "grad_norm": 0.7849822640419006, | |
| "learning_rate": 6.773024435212678e-06, | |
| "loss": 1.7396, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 8.63697705802969, | |
| "grad_norm": 0.997053325176239, | |
| "learning_rate": 6.363431142447469e-06, | |
| "loss": 1.7123, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 8.982456140350877, | |
| "eval_loss": 1.5107336044311523, | |
| "eval_runtime": 12.0487, | |
| "eval_samples_per_second": 30.875, | |
| "eval_steps_per_second": 3.901, | |
| "step": 416 | |
| }, | |
| { | |
| "epoch": 9.068825910931174, | |
| "grad_norm": 0.8057714104652405, | |
| "learning_rate": 5.943687977264584e-06, | |
| "loss": 1.7143, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 9.50067476383266, | |
| "grad_norm": 1.0519981384277344, | |
| "learning_rate": 5.51691965894185e-06, | |
| "loss": 1.6754, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 9.932523616734143, | |
| "grad_norm": 0.8790378570556641, | |
| "learning_rate": 5.0863032045269435e-06, | |
| "loss": 1.7078, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 9.997300944669366, | |
| "eval_loss": 1.4861911535263062, | |
| "eval_runtime": 12.0616, | |
| "eval_samples_per_second": 30.842, | |
| "eval_steps_per_second": 3.897, | |
| "step": 463 | |
| }, | |
| { | |
| "epoch": 10.364372469635628, | |
| "grad_norm": 0.9965023994445801, | |
| "learning_rate": 4.6550442779783755e-06, | |
| "loss": 1.6729, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 10.796221322537113, | |
| "grad_norm": 0.9378894567489624, | |
| "learning_rate": 4.226353326048594e-06, | |
| "loss": 1.6375, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 10.99055330634278, | |
| "eval_loss": 1.4666177034378052, | |
| "eval_runtime": 12.0581, | |
| "eval_samples_per_second": 30.851, | |
| "eval_steps_per_second": 3.898, | |
| "step": 509 | |
| }, | |
| { | |
| "epoch": 11.228070175438596, | |
| "grad_norm": 1.088391900062561, | |
| "learning_rate": 3.803421678562213e-06, | |
| "loss": 1.6817, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 11.65991902834008, | |
| "grad_norm": 1.2648347616195679, | |
| "learning_rate": 3.389397791007548e-06, | |
| "loss": 1.6618, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 11.983805668016194, | |
| "eval_loss": 1.4524654150009155, | |
| "eval_runtime": 12.0523, | |
| "eval_samples_per_second": 30.866, | |
| "eval_steps_per_second": 3.9, | |
| "step": 555 | |
| }, | |
| { | |
| "epoch": 12.091767881241566, | |
| "grad_norm": 1.1444419622421265, | |
| "learning_rate": 2.9873638063001633e-06, | |
| "loss": 1.637, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 12.523616734143049, | |
| "grad_norm": 0.8730684518814087, | |
| "learning_rate": 2.6003126102010696e-06, | |
| "loss": 1.6219, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 12.955465587044534, | |
| "grad_norm": 1.3365355730056763, | |
| "learning_rate": 2.2311255511973347e-06, | |
| "loss": 1.629, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 12.998650472334683, | |
| "eval_loss": 1.4416956901550293, | |
| "eval_runtime": 12.0642, | |
| "eval_samples_per_second": 30.835, | |
| "eval_steps_per_second": 3.896, | |
| "step": 602 | |
| }, | |
| { | |
| "epoch": 13.387314439946019, | |
| "grad_norm": 1.1396286487579346, | |
| "learning_rate": 1.8825509907063328e-06, | |
| "loss": 1.5987, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 13.819163292847504, | |
| "grad_norm": 1.1069096326828003, | |
| "learning_rate": 1.557183843283614e-06, | |
| "loss": 1.6634, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 13.991902834008098, | |
| "eval_loss": 1.4354872703552246, | |
| "eval_runtime": 12.0604, | |
| "eval_samples_per_second": 30.845, | |
| "eval_steps_per_second": 3.897, | |
| "step": 648 | |
| }, | |
| { | |
| "epoch": 14.251012145748987, | |
| "grad_norm": 0.929169237613678, | |
| "learning_rate": 1.257446259144494e-06, | |
| "loss": 1.6245, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 14.682860998650472, | |
| "grad_norm": 1.1899679899215698, | |
| "learning_rate": 9.85569592805588e-07, | |
| "loss": 1.6097, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 14.98515519568151, | |
| "eval_loss": 1.4315454959869385, | |
| "eval_runtime": 12.0693, | |
| "eval_samples_per_second": 30.822, | |
| "eval_steps_per_second": 3.894, | |
| "step": 694 | |
| }, | |
| { | |
| "epoch": 15.114709851551957, | |
| "grad_norm": 1.0818545818328857, | |
| "learning_rate": 7.435777920782444e-07, | |
| "loss": 1.6349, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 15.54655870445344, | |
| "grad_norm": 1.077989935874939, | |
| "learning_rate": 5.332723310721855e-07, | |
| "loss": 1.6035, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 15.978407557354926, | |
| "grad_norm": 1.1727399826049805, | |
| "learning_rate": 3.5621879937348836e-07, | |
| "loss": 1.6489, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_loss": 1.4295289516448975, | |
| "eval_runtime": 12.0333, | |
| "eval_samples_per_second": 30.914, | |
| "eval_steps_per_second": 3.906, | |
| "step": 741 | |
| }, | |
| { | |
| "epoch": 16.41025641025641, | |
| "grad_norm": 1.0742014646530151, | |
| "learning_rate": 2.137352472319215e-07, | |
| "loss": 1.5994, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 16.842105263157894, | |
| "grad_norm": 1.0748684406280518, | |
| "learning_rate": 1.0688237352022346e-07, | |
| "loss": 1.6251, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 16.993252361673413, | |
| "eval_loss": 1.4288655519485474, | |
| "eval_runtime": 11.987, | |
| "eval_samples_per_second": 31.034, | |
| "eval_steps_per_second": 3.921, | |
| "step": 787 | |
| }, | |
| { | |
| "epoch": 17.27395411605938, | |
| "grad_norm": 1.1126863956451416, | |
| "learning_rate": 3.645562950973014e-08, | |
| "loss": 1.6199, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 17.705802968960864, | |
| "grad_norm": 1.1560289859771729, | |
| "learning_rate": 2.9792972446479605e-09, | |
| "loss": 1.5742, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 17.878542510121456, | |
| "eval_loss": 1.42880117893219, | |
| "eval_runtime": 11.9734, | |
| "eval_samples_per_second": 31.069, | |
| "eval_steps_per_second": 3.925, | |
| "step": 828 | |
| } | |
| ], | |
| "logging_steps": 20, | |
| "max_steps": 828, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 18, | |
| "save_steps": 500, | |
| "total_flos": 7.361856849884774e+16, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |