{ "best_metric": 0.72835773229599, "best_model_checkpoint": "final_models/glue_models/structroberta_s2_final//finetune/mnli-mm/checkpoint-6400", "epoch": 3.695150115473441, "global_step": 8000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.18, "eval_accuracy": 0.5728834867477417, "eval_loss": 0.9009019136428833, "eval_runtime": 12.2589, "eval_samples_per_second": 512.606, "eval_steps_per_second": 64.117, "step": 400 }, { "epoch": 0.23, "learning_rate": 4.884526558891455e-05, "loss": 0.986, "step": 500 }, { "epoch": 0.37, "eval_accuracy": 0.6513367295265198, "eval_loss": 0.7975157499313354, "eval_runtime": 12.2206, "eval_samples_per_second": 514.215, "eval_steps_per_second": 64.318, "step": 800 }, { "epoch": 0.46, "learning_rate": 4.7690531177829104e-05, "loss": 0.8465, "step": 1000 }, { "epoch": 0.55, "eval_accuracy": 0.6755251288414001, "eval_loss": 0.7505028247833252, "eval_runtime": 12.2225, "eval_samples_per_second": 514.134, "eval_steps_per_second": 64.308, "step": 1200 }, { "epoch": 0.69, "learning_rate": 4.653579676674365e-05, "loss": 0.7931, "step": 1500 }, { "epoch": 0.74, "eval_accuracy": 0.682208776473999, "eval_loss": 0.7299364805221558, "eval_runtime": 12.2349, "eval_samples_per_second": 513.615, "eval_steps_per_second": 64.243, "step": 1600 }, { "epoch": 0.92, "learning_rate": 4.53810623556582e-05, "loss": 0.7619, "step": 2000 }, { "epoch": 0.92, "eval_accuracy": 0.7059198021888733, "eval_loss": 0.6974023580551147, "eval_runtime": 12.2223, "eval_samples_per_second": 514.143, "eval_steps_per_second": 64.309, "step": 2000 }, { "epoch": 1.11, "eval_accuracy": 0.708625078201294, "eval_loss": 0.6957436203956604, "eval_runtime": 12.2195, "eval_samples_per_second": 514.259, "eval_steps_per_second": 64.323, "step": 2400 }, { "epoch": 1.15, "learning_rate": 4.422632794457275e-05, "loss": 0.7076, "step": 2500 }, { "epoch": 1.29, "eval_accuracy": 0.7118077874183655, "eval_loss": 0.6871402263641357, "eval_runtime": 12.2168, "eval_samples_per_second": 514.374, "eval_steps_per_second": 64.338, "step": 2800 }, { "epoch": 1.39, "learning_rate": 4.30715935334873e-05, "loss": 0.6707, "step": 3000 }, { "epoch": 1.48, "eval_accuracy": 0.713876485824585, "eval_loss": 0.6786448955535889, "eval_runtime": 12.228, "eval_samples_per_second": 513.903, "eval_steps_per_second": 64.279, "step": 3200 }, { "epoch": 1.62, "learning_rate": 4.1916859122401844e-05, "loss": 0.6685, "step": 3500 }, { "epoch": 1.66, "eval_accuracy": 0.7175366282463074, "eval_loss": 0.6627858281135559, "eval_runtime": 12.2175, "eval_samples_per_second": 514.343, "eval_steps_per_second": 64.334, "step": 3600 }, { "epoch": 1.85, "learning_rate": 4.07621247113164e-05, "loss": 0.6631, "step": 4000 }, { "epoch": 1.85, "eval_accuracy": 0.7172183394432068, "eval_loss": 0.6724812388420105, "eval_runtime": 12.2271, "eval_samples_per_second": 513.942, "eval_steps_per_second": 64.284, "step": 4000 }, { "epoch": 2.03, "eval_accuracy": 0.7267664074897766, "eval_loss": 0.6734680533409119, "eval_runtime": 12.2328, "eval_samples_per_second": 513.699, "eval_steps_per_second": 64.253, "step": 4400 }, { "epoch": 2.08, "learning_rate": 3.960739030023095e-05, "loss": 0.6259, "step": 4500 }, { "epoch": 2.22, "eval_accuracy": 0.7243793606758118, "eval_loss": 0.6886034607887268, "eval_runtime": 12.2355, "eval_samples_per_second": 513.587, "eval_steps_per_second": 64.239, "step": 4800 }, { "epoch": 2.31, "learning_rate": 3.84526558891455e-05, "loss": 0.5623, "step": 5000 }, { "epoch": 2.4, "eval_accuracy": 0.7200827598571777, "eval_loss": 0.6721735596656799, "eval_runtime": 12.2114, "eval_samples_per_second": 514.601, "eval_steps_per_second": 64.366, "step": 5200 }, { "epoch": 2.54, "learning_rate": 3.729792147806005e-05, "loss": 0.5625, "step": 5500 }, { "epoch": 2.59, "eval_accuracy": 0.722151517868042, "eval_loss": 0.6832764148712158, "eval_runtime": 12.2235, "eval_samples_per_second": 514.09, "eval_steps_per_second": 64.302, "step": 5600 }, { "epoch": 2.77, "learning_rate": 3.61431870669746e-05, "loss": 0.5726, "step": 6000 }, { "epoch": 2.77, "eval_accuracy": 0.7278803586959839, "eval_loss": 0.6740399599075317, "eval_runtime": 12.2331, "eval_samples_per_second": 513.686, "eval_steps_per_second": 64.252, "step": 6000 }, { "epoch": 2.96, "eval_accuracy": 0.72835773229599, "eval_loss": 0.6698330044746399, "eval_runtime": 12.2158, "eval_samples_per_second": 514.416, "eval_steps_per_second": 64.343, "step": 6400 }, { "epoch": 3.0, "learning_rate": 3.498845265588915e-05, "loss": 0.5712, "step": 6500 }, { "epoch": 3.14, "eval_accuracy": 0.7272437810897827, "eval_loss": 0.7273808717727661, "eval_runtime": 12.2209, "eval_samples_per_second": 514.201, "eval_steps_per_second": 64.316, "step": 6800 }, { "epoch": 3.23, "learning_rate": 3.38337182448037e-05, "loss": 0.4606, "step": 7000 }, { "epoch": 3.33, "eval_accuracy": 0.7237428426742554, "eval_loss": 0.6991223096847534, "eval_runtime": 12.2324, "eval_samples_per_second": 513.719, "eval_steps_per_second": 64.256, "step": 7200 }, { "epoch": 3.46, "learning_rate": 3.2678983833718243e-05, "loss": 0.4629, "step": 7500 }, { "epoch": 3.51, "eval_accuracy": 0.7248567938804626, "eval_loss": 0.7126758694648743, "eval_runtime": 12.2245, "eval_samples_per_second": 514.051, "eval_steps_per_second": 64.297, "step": 7600 }, { "epoch": 3.7, "learning_rate": 3.1524249422632794e-05, "loss": 0.4729, "step": 8000 }, { "epoch": 3.7, "eval_accuracy": 0.7277212142944336, "eval_loss": 0.7072490453720093, "eval_runtime": 12.2205, "eval_samples_per_second": 514.217, "eval_steps_per_second": 64.318, "step": 8000 }, { "epoch": 3.7, "step": 8000, "total_flos": 8.010663974208e+16, "train_loss": 0.649251142501831, "train_runtime": 4415.1363, "train_samples_per_second": 588.385, "train_steps_per_second": 4.904 } ], "max_steps": 21650, "num_train_epochs": 10, "total_flos": 8.010663974208e+16, "trial_name": null, "trial_params": null }