{ "best_metric": 0.48642775416374207, "best_model_checkpoint": "../../experiments_checkpoints/MAdAiLab/distilbert/distilbert_base_uncased_twitter/checkpoint-100", "epoch": 3.0, "eval_steps": 50, "global_step": 408, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.07, "grad_norm": 0.9765774607658386, "learning_rate": 1.950980392156863e-05, "loss": 0.6187, "step": 10 }, { "epoch": 0.15, "grad_norm": 1.5788111686706543, "learning_rate": 1.9019607843137255e-05, "loss": 0.5843, "step": 20 }, { "epoch": 0.22, "grad_norm": 3.5568511486053467, "learning_rate": 1.8529411764705884e-05, "loss": 0.5014, "step": 30 }, { "epoch": 0.29, "grad_norm": 1.6089941263198853, "learning_rate": 1.8039215686274513e-05, "loss": 0.4959, "step": 40 }, { "epoch": 0.37, "grad_norm": 2.2181787490844727, "learning_rate": 1.7549019607843138e-05, "loss": 0.4671, "step": 50 }, { "epoch": 0.37, "eval_accuracy": 0.7665441176470589, "eval_f1_macro": 0.7213912692811775, "eval_f1_micro": 0.7665441176470589, "eval_loss": 0.4990096390247345, "eval_runtime": 0.5393, "eval_samples_per_second": 2017.389, "eval_steps_per_second": 31.522, "step": 50 }, { "epoch": 0.44, "grad_norm": 1.884325623512268, "learning_rate": 1.7058823529411767e-05, "loss": 0.49, "step": 60 }, { "epoch": 0.51, "grad_norm": 2.515151262283325, "learning_rate": 1.6568627450980395e-05, "loss": 0.468, "step": 70 }, { "epoch": 0.59, "grad_norm": 1.46433424949646, "learning_rate": 1.607843137254902e-05, "loss": 0.4629, "step": 80 }, { "epoch": 0.66, "grad_norm": 3.789057731628418, "learning_rate": 1.558823529411765e-05, "loss": 0.4995, "step": 90 }, { "epoch": 0.74, "grad_norm": 1.6152119636535645, "learning_rate": 1.5098039215686276e-05, "loss": 0.4724, "step": 100 }, { "epoch": 0.74, "eval_accuracy": 0.7665441176470589, "eval_f1_macro": 0.7129836193609764, "eval_f1_micro": 0.7665441176470589, "eval_loss": 0.48642775416374207, "eval_runtime": 0.5851, "eval_samples_per_second": 1859.58, "eval_steps_per_second": 29.056, "step": 100 }, { "epoch": 0.81, "grad_norm": 2.266235589981079, "learning_rate": 1.4607843137254903e-05, "loss": 0.4756, "step": 110 }, { "epoch": 0.88, "grad_norm": 1.525882601737976, "learning_rate": 1.4117647058823532e-05, "loss": 0.4502, "step": 120 }, { "epoch": 0.96, "grad_norm": 2.974560022354126, "learning_rate": 1.3627450980392158e-05, "loss": 0.4522, "step": 130 }, { "epoch": 1.03, "grad_norm": 1.4635220766067505, "learning_rate": 1.3137254901960785e-05, "loss": 0.4668, "step": 140 }, { "epoch": 1.1, "grad_norm": 1.4645050764083862, "learning_rate": 1.2647058823529412e-05, "loss": 0.4569, "step": 150 }, { "epoch": 1.1, "eval_accuracy": 0.7619485294117647, "eval_f1_macro": 0.7171487219637542, "eval_f1_micro": 0.7619485294117647, "eval_loss": 0.49238911271095276, "eval_runtime": 0.5364, "eval_samples_per_second": 2028.197, "eval_steps_per_second": 31.691, "step": 150 }, { "epoch": 1.18, "grad_norm": 1.8205065727233887, "learning_rate": 1.215686274509804e-05, "loss": 0.4361, "step": 160 }, { "epoch": 1.25, "grad_norm": 1.9796948432922363, "learning_rate": 1.1666666666666668e-05, "loss": 0.4132, "step": 170 }, { "epoch": 1.32, "grad_norm": 2.2274928092956543, "learning_rate": 1.1176470588235295e-05, "loss": 0.4032, "step": 180 }, { "epoch": 1.4, "grad_norm": 2.062063217163086, "learning_rate": 1.0686274509803922e-05, "loss": 0.4225, "step": 190 }, { "epoch": 1.47, "grad_norm": 2.1751012802124023, "learning_rate": 1.0196078431372549e-05, "loss": 0.4577, "step": 200 }, { "epoch": 1.47, "eval_accuracy": 0.7674632352941176, "eval_f1_macro": 0.735733452379238, "eval_f1_micro": 0.7674632352941176, "eval_loss": 0.48808765411376953, "eval_runtime": 0.5854, "eval_samples_per_second": 1858.556, "eval_steps_per_second": 29.04, "step": 200 }, { "epoch": 1.54, "grad_norm": 2.3987302780151367, "learning_rate": 9.705882352941177e-06, "loss": 0.4241, "step": 210 }, { "epoch": 1.62, "grad_norm": 1.7723791599273682, "learning_rate": 9.215686274509804e-06, "loss": 0.4869, "step": 220 }, { "epoch": 1.69, "grad_norm": 1.5343266725540161, "learning_rate": 8.725490196078433e-06, "loss": 0.4019, "step": 230 }, { "epoch": 1.76, "grad_norm": 1.4921599626541138, "learning_rate": 8.23529411764706e-06, "loss": 0.431, "step": 240 }, { "epoch": 1.84, "grad_norm": 2.095546007156372, "learning_rate": 7.745098039215687e-06, "loss": 0.4438, "step": 250 }, { "epoch": 1.84, "eval_accuracy": 0.7637867647058824, "eval_f1_macro": 0.7221905945635532, "eval_f1_micro": 0.7637867647058824, "eval_loss": 0.4902326464653015, "eval_runtime": 0.5401, "eval_samples_per_second": 2014.546, "eval_steps_per_second": 31.477, "step": 250 }, { "epoch": 1.91, "grad_norm": 1.6771706342697144, "learning_rate": 7.2549019607843145e-06, "loss": 0.4097, "step": 260 }, { "epoch": 1.99, "grad_norm": 2.656497001647949, "learning_rate": 6.764705882352942e-06, "loss": 0.3988, "step": 270 }, { "epoch": 2.06, "grad_norm": 1.9385000467300415, "learning_rate": 6.274509803921569e-06, "loss": 0.417, "step": 280 }, { "epoch": 2.13, "grad_norm": 2.667146682739258, "learning_rate": 5.784313725490197e-06, "loss": 0.4311, "step": 290 }, { "epoch": 2.21, "grad_norm": 1.8320512771606445, "learning_rate": 5.294117647058824e-06, "loss": 0.405, "step": 300 }, { "epoch": 2.21, "eval_accuracy": 0.7647058823529411, "eval_f1_macro": 0.7211496489942373, "eval_f1_micro": 0.7647058823529411, "eval_loss": 0.49007949233055115, "eval_runtime": 0.5398, "eval_samples_per_second": 2015.417, "eval_steps_per_second": 31.491, "step": 300 }, { "epoch": 2.28, "grad_norm": 2.1121017932891846, "learning_rate": 4.803921568627452e-06, "loss": 0.4111, "step": 310 }, { "epoch": 2.35, "grad_norm": 1.9665944576263428, "learning_rate": 4.313725490196079e-06, "loss": 0.3779, "step": 320 }, { "epoch": 2.43, "grad_norm": 2.207554817199707, "learning_rate": 3.8235294117647055e-06, "loss": 0.4133, "step": 330 }, { "epoch": 2.5, "grad_norm": 1.5441542863845825, "learning_rate": 3.3333333333333333e-06, "loss": 0.3995, "step": 340 }, { "epoch": 2.57, "grad_norm": 2.1563522815704346, "learning_rate": 2.843137254901961e-06, "loss": 0.4308, "step": 350 }, { "epoch": 2.57, "eval_accuracy": 0.7693014705882353, "eval_f1_macro": 0.73261662432013, "eval_f1_micro": 0.7693014705882353, "eval_loss": 0.4900199770927429, "eval_runtime": 0.5915, "eval_samples_per_second": 1839.294, "eval_steps_per_second": 28.739, "step": 350 }, { "epoch": 2.65, "grad_norm": 1.54690682888031, "learning_rate": 2.3529411764705885e-06, "loss": 0.4072, "step": 360 }, { "epoch": 2.72, "grad_norm": 1.971561312675476, "learning_rate": 1.8627450980392158e-06, "loss": 0.3733, "step": 370 }, { "epoch": 2.79, "grad_norm": 1.7932841777801514, "learning_rate": 1.3725490196078434e-06, "loss": 0.3814, "step": 380 }, { "epoch": 2.87, "grad_norm": 2.5148913860321045, "learning_rate": 8.823529411764707e-07, "loss": 0.4002, "step": 390 }, { "epoch": 2.94, "grad_norm": 2.2834231853485107, "learning_rate": 3.921568627450981e-07, "loss": 0.3584, "step": 400 }, { "epoch": 2.94, "eval_accuracy": 0.7674632352941176, "eval_f1_macro": 0.7287566403205288, "eval_f1_micro": 0.7674632352941176, "eval_loss": 0.4930545687675476, "eval_runtime": 0.5929, "eval_samples_per_second": 1834.989, "eval_steps_per_second": 28.672, "step": 400 }, { "epoch": 3.0, "step": 408, "total_flos": 864747139366912.0, "train_loss": 0.44109968811857936, "train_runtime": 52.5835, "train_samples_per_second": 496.354, "train_steps_per_second": 7.759 } ], "logging_steps": 10, "max_steps": 408, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 50, "total_flos": 864747139366912.0, "train_batch_size": 32, "trial_name": null, "trial_params": null }