| { | |
| "best_metric": 4.17286491394043, | |
| "best_model_checkpoint": "/home/bel3/portfolio-repo-TheBguy87/final project/model_folder/checkpoint-19500", | |
| "epoch": 2.9601518026565463, | |
| "global_step": 19500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 4.873488183796367e-05, | |
| "loss": 6.5463, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.21852576647097194, | |
| "eval_loss": 5.444242477416992, | |
| "eval_runtime": 27.5824, | |
| "eval_samples_per_second": 51.12, | |
| "eval_steps_per_second": 6.417, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 4.746976367592733e-05, | |
| "loss": 5.7814, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "eval_accuracy": 0.2316206575897628, | |
| "eval_loss": 5.191591739654541, | |
| "eval_runtime": 27.5501, | |
| "eval_samples_per_second": 51.179, | |
| "eval_steps_per_second": 6.425, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 4.6204645513891e-05, | |
| "loss": 5.5475, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "eval_accuracy": 0.2393984816310669, | |
| "eval_loss": 5.062835693359375, | |
| "eval_runtime": 27.5707, | |
| "eval_samples_per_second": 51.141, | |
| "eval_steps_per_second": 6.42, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 4.493952735185467e-05, | |
| "loss": 5.4202, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "eval_accuracy": 0.24114169130199442, | |
| "eval_loss": 4.970830917358398, | |
| "eval_runtime": 27.5621, | |
| "eval_samples_per_second": 51.157, | |
| "eval_steps_per_second": 6.422, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 4.367440918981833e-05, | |
| "loss": 5.3562, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_accuracy": 0.24209795839058446, | |
| "eval_loss": 4.920139312744141, | |
| "eval_runtime": 27.5764, | |
| "eval_samples_per_second": 51.131, | |
| "eval_steps_per_second": 6.419, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 4.240929102778199e-05, | |
| "loss": 5.2881, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "eval_accuracy": 0.2436371459105356, | |
| "eval_loss": 4.872959136962891, | |
| "eval_runtime": 27.5692, | |
| "eval_samples_per_second": 51.144, | |
| "eval_steps_per_second": 6.42, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 4.114417286574566e-05, | |
| "loss": 5.2296, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.2506516217679144, | |
| "eval_loss": 4.810730457305908, | |
| "eval_runtime": 27.5767, | |
| "eval_samples_per_second": 51.13, | |
| "eval_steps_per_second": 6.418, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 3.987905470370933e-05, | |
| "loss": 5.1578, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.2533899598895227, | |
| "eval_loss": 4.767050743103027, | |
| "eval_runtime": 27.5725, | |
| "eval_samples_per_second": 51.138, | |
| "eval_steps_per_second": 6.419, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 3.8613936541672994e-05, | |
| "loss": 5.0779, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "eval_accuracy": 0.2565418939362396, | |
| "eval_loss": 4.725719451904297, | |
| "eval_runtime": 27.5923, | |
| "eval_samples_per_second": 51.101, | |
| "eval_steps_per_second": 6.415, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 3.734881837963666e-05, | |
| "loss": 5.0276, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "eval_accuracy": 0.2623502796630165, | |
| "eval_loss": 4.667919635772705, | |
| "eval_runtime": 27.5734, | |
| "eval_samples_per_second": 51.136, | |
| "eval_steps_per_second": 6.419, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "learning_rate": 3.6083700217600326e-05, | |
| "loss": 5.0059, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.83, | |
| "eval_accuracy": 0.2663904734146646, | |
| "eval_loss": 4.631860256195068, | |
| "eval_runtime": 27.5657, | |
| "eval_samples_per_second": 51.151, | |
| "eval_steps_per_second": 6.421, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 3.481858205556399e-05, | |
| "loss": 4.9264, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "eval_accuracy": 0.2692717658325353, | |
| "eval_loss": 4.584375858306885, | |
| "eval_runtime": 27.5605, | |
| "eval_samples_per_second": 51.16, | |
| "eval_steps_per_second": 6.422, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 3.355346389352766e-05, | |
| "loss": 4.9049, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "eval_accuracy": 0.272461173335554, | |
| "eval_loss": 4.553061485290527, | |
| "eval_runtime": 27.5742, | |
| "eval_samples_per_second": 51.135, | |
| "eval_steps_per_second": 6.419, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 3.228834573149132e-05, | |
| "loss": 4.8232, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.27501491998723127, | |
| "eval_loss": 4.517702579498291, | |
| "eval_runtime": 27.5623, | |
| "eval_samples_per_second": 51.157, | |
| "eval_steps_per_second": 6.422, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 3.102322756945499e-05, | |
| "loss": 4.751, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.2793854353166507, | |
| "eval_loss": 4.4822540283203125, | |
| "eval_runtime": 27.5718, | |
| "eval_samples_per_second": 51.139, | |
| "eval_steps_per_second": 6.42, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "learning_rate": 2.9758109407418657e-05, | |
| "loss": 4.7553, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.21, | |
| "eval_accuracy": 0.2807802806345505, | |
| "eval_loss": 4.459610939025879, | |
| "eval_runtime": 27.5709, | |
| "eval_samples_per_second": 51.141, | |
| "eval_steps_per_second": 6.42, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "learning_rate": 2.8495521481706393e-05, | |
| "loss": 4.7213, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "eval_accuracy": 0.28297872340425534, | |
| "eval_loss": 4.435904026031494, | |
| "eval_runtime": 27.5742, | |
| "eval_samples_per_second": 51.135, | |
| "eval_steps_per_second": 6.419, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "learning_rate": 2.7230403319670056e-05, | |
| "loss": 4.6646, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.37, | |
| "eval_accuracy": 0.28641656604349697, | |
| "eval_loss": 4.399264335632324, | |
| "eval_runtime": 27.5882, | |
| "eval_samples_per_second": 51.109, | |
| "eval_steps_per_second": 6.416, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "learning_rate": 2.597034563028187e-05, | |
| "loss": 4.6709, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.44, | |
| "eval_accuracy": 0.2876531901014559, | |
| "eval_loss": 4.388927936553955, | |
| "eval_runtime": 27.5803, | |
| "eval_samples_per_second": 51.123, | |
| "eval_steps_per_second": 6.418, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 2.4705227468245535e-05, | |
| "loss": 4.6179, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "eval_accuracy": 0.2888079277178665, | |
| "eval_loss": 4.365257263183594, | |
| "eval_runtime": 27.58, | |
| "eval_samples_per_second": 51.124, | |
| "eval_steps_per_second": 6.418, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 2.34401093062092e-05, | |
| "loss": 4.5984, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.2886746887621268, | |
| "eval_loss": 4.34913444519043, | |
| "eval_runtime": 27.5823, | |
| "eval_samples_per_second": 51.12, | |
| "eval_steps_per_second": 6.417, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "learning_rate": 2.2174991144172867e-05, | |
| "loss": 4.5868, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.67, | |
| "eval_accuracy": 0.29093697519812356, | |
| "eval_loss": 4.338951587677002, | |
| "eval_runtime": 27.5873, | |
| "eval_samples_per_second": 51.11, | |
| "eval_steps_per_second": 6.416, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "learning_rate": 2.0909872982136533e-05, | |
| "loss": 4.5543, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.29370307143551094, | |
| "eval_loss": 4.3105316162109375, | |
| "eval_runtime": 27.5819, | |
| "eval_samples_per_second": 51.12, | |
| "eval_steps_per_second": 6.417, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 1.9644754820100196e-05, | |
| "loss": 4.5493, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "eval_accuracy": 0.29424019097583654, | |
| "eval_loss": 4.301023483276367, | |
| "eval_runtime": 27.5881, | |
| "eval_samples_per_second": 51.109, | |
| "eval_steps_per_second": 6.416, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "learning_rate": 1.8379636658063865e-05, | |
| "loss": 4.5038, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 1.9, | |
| "eval_accuracy": 0.294011186520659, | |
| "eval_loss": 4.281564235687256, | |
| "eval_runtime": 27.5889, | |
| "eval_samples_per_second": 51.107, | |
| "eval_steps_per_second": 6.416, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "learning_rate": 1.7114518496027528e-05, | |
| "loss": 4.4836, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 1.97, | |
| "eval_accuracy": 0.29663155265020613, | |
| "eval_loss": 4.268117427825928, | |
| "eval_runtime": 27.5869, | |
| "eval_samples_per_second": 51.111, | |
| "eval_steps_per_second": 6.416, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "learning_rate": 1.5849400333991198e-05, | |
| "loss": 4.4394, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "eval_accuracy": 0.2960416926899002, | |
| "eval_loss": 4.262997150421143, | |
| "eval_runtime": 27.5906, | |
| "eval_samples_per_second": 51.104, | |
| "eval_steps_per_second": 6.415, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "learning_rate": 1.458428217195486e-05, | |
| "loss": 4.4429, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 2.13, | |
| "eval_accuracy": 0.2994989660101872, | |
| "eval_loss": 4.247574329376221, | |
| "eval_runtime": 27.5874, | |
| "eval_samples_per_second": 51.11, | |
| "eval_steps_per_second": 6.416, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "learning_rate": 1.3319164009918528e-05, | |
| "loss": 4.4404, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "eval_accuracy": 0.3004260870772092, | |
| "eval_loss": 4.236292839050293, | |
| "eval_runtime": 27.9352, | |
| "eval_samples_per_second": 50.474, | |
| "eval_steps_per_second": 6.336, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "learning_rate": 1.2054045847882193e-05, | |
| "loss": 4.4148, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.28, | |
| "eval_accuracy": 0.3013920695063219, | |
| "eval_loss": 4.226977825164795, | |
| "eval_runtime": 27.9368, | |
| "eval_samples_per_second": 50.471, | |
| "eval_steps_per_second": 6.336, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "learning_rate": 1.0791457922169932e-05, | |
| "loss": 4.3944, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 2.35, | |
| "eval_accuracy": 0.3011366948411542, | |
| "eval_loss": 4.218454360961914, | |
| "eval_runtime": 28.163, | |
| "eval_samples_per_second": 50.066, | |
| "eval_steps_per_second": 6.285, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "learning_rate": 9.526339760133597e-06, | |
| "loss": 4.3942, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 2.43, | |
| "eval_accuracy": 0.3020194029229296, | |
| "eval_loss": 4.213292121887207, | |
| "eval_runtime": 28.5992, | |
| "eval_samples_per_second": 49.302, | |
| "eval_steps_per_second": 6.189, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 8.261221598097263e-06, | |
| "loss": 4.3789, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "eval_accuracy": 0.3029826095404644, | |
| "eval_loss": 4.205790996551514, | |
| "eval_runtime": 28.126, | |
| "eval_samples_per_second": 50.131, | |
| "eval_steps_per_second": 6.293, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "learning_rate": 6.996103436060929e-06, | |
| "loss": 4.3444, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 2.58, | |
| "eval_accuracy": 0.3037764916517467, | |
| "eval_loss": 4.199104309082031, | |
| "eval_runtime": 27.8045, | |
| "eval_samples_per_second": 50.711, | |
| "eval_steps_per_second": 6.366, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "learning_rate": 5.733515510348667e-06, | |
| "loss": 4.3503, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 2.66, | |
| "eval_accuracy": 0.3041026495121511, | |
| "eval_loss": 4.189632415771484, | |
| "eval_runtime": 28.554, | |
| "eval_samples_per_second": 49.38, | |
| "eval_steps_per_second": 6.199, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 4.468397348312332e-06, | |
| "loss": 4.3445, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "eval_accuracy": 0.30501727942707246, | |
| "eval_loss": 4.184421062469482, | |
| "eval_runtime": 27.7494, | |
| "eval_samples_per_second": 50.812, | |
| "eval_steps_per_second": 6.379, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "learning_rate": 3.2058094226000707e-06, | |
| "loss": 4.3081, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 2.81, | |
| "eval_accuracy": 0.3053531526279996, | |
| "eval_loss": 4.178225994110107, | |
| "eval_runtime": 27.5642, | |
| "eval_samples_per_second": 51.153, | |
| "eval_steps_per_second": 6.421, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "learning_rate": 1.9406912605637364e-06, | |
| "loss": 4.3215, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 2.88, | |
| "eval_accuracy": 0.30591109075515954, | |
| "eval_loss": 4.176368713378906, | |
| "eval_runtime": 27.554, | |
| "eval_samples_per_second": 51.172, | |
| "eval_steps_per_second": 6.424, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "learning_rate": 6.755730985274025e-07, | |
| "loss": 4.3413, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 2.96, | |
| "eval_accuracy": 0.30599714091407476, | |
| "eval_loss": 4.17286491394043, | |
| "eval_runtime": 27.9537, | |
| "eval_samples_per_second": 50.441, | |
| "eval_steps_per_second": 6.332, | |
| "step": 19500 | |
| } | |
| ], | |
| "max_steps": 19761, | |
| "num_train_epochs": 3, | |
| "total_flos": 2.0380255911936e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |