{ "best_metric": 0.3950704777630208, "best_model_checkpoint": "/home2/s5432073/language-tech-project/results/ltp-roberta-large-defaultltp-roberta-large-default-9/checkpoint-1200", "epoch": 9.467455621301776, "global_step": 1600, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.18, "learning_rate": 9.28348909657321e-06, "loss": 0.4412, "step": 200 }, { "epoch": 1.18, "eval_f1": 0.15828796157072217, "eval_f1_all": [ 0.2097902097902098, 0.2789115646258503, 0.0, 0.0, 0.547798066595059, 0.0, 0.0, 0.0, 0.7165913492575855, 0.636150234741784, 0.0, 0.013071895424836602, 0.0, 0.0, 0.0, 0.0, 0.6257166257166257, 0.13235294117647056, 0.0, 0.005376344086021506 ], "eval_loss": 0.35295796394348145, "eval_runtime": 2.6168, "eval_samples_per_second": 724.543, "eval_steps_per_second": 22.929, "step": 200 }, { "epoch": 2.37, "learning_rate": 8.037383177570094e-06, "loss": 0.3276, "step": 400 }, { "epoch": 2.37, "eval_f1": 0.27070745440431776, "eval_f1_all": [ 0.3987730061349693, 0.37480314960629924, 0.0, 0.0, 0.6236125126135217, 0.05917159763313609, 0.3404255319148936, 0.0, 0.7367021276595745, 0.5967130214917826, 0.11518324607329843, 0.4112149532710281, 0.0, 0.0, 0.15251798561151078, 0.0, 0.6607431340872374, 0.624390243902439, 0.017621145374449337, 0.30227743271221535 ], "eval_loss": 0.3264588415622711, "eval_runtime": 2.8315, "eval_samples_per_second": 669.617, "eval_steps_per_second": 21.19, "step": 400 }, { "epoch": 3.55, "learning_rate": 6.791277258566978e-06, "loss": 0.2941, "step": 600 }, { "epoch": 3.55, "eval_f1": 0.3284303777422183, "eval_f1_all": [ 0.5230769230769231, 0.5660847880299252, 0.014388489208633093, 0.09090909090909091, 0.6258776328986961, 0.0588235294117647, 0.2923976608187135, 0.0, 0.7289595758780648, 0.6356589147286822, 0.28971962616822433, 0.40816326530612246, 0.0, 0.015625, 0.47457627118644063, 0.06382978723404255, 0.6955153422501967, 0.635897435897436, 0.09795918367346938, 0.3511450381679389 ], "eval_loss": 0.31264743208885193, "eval_runtime": 2.8103, "eval_samples_per_second": 674.672, "eval_steps_per_second": 21.35, "step": 600 }, { "epoch": 4.73, "learning_rate": 5.545171339563863e-06, "loss": 0.2732, "step": 800 }, { "epoch": 4.73, "eval_f1": 0.3619965683236828, "eval_f1_all": [ 0.5528089887640449, 0.5821596244131456, 0.0945945945945946, 0.18965517241379312, 0.6472868217054263, 0.13829787234042554, 0.3692307692307692, 0.0, 0.7455386649041639, 0.638095238095238, 0.37606837606837606, 0.4579025110782866, 0.0, 0.015503875968992248, 0.5087179487179486, 0.07719298245614035, 0.6716917922948074, 0.6666666666666667, 0.08298755186721991, 0.425531914893617 ], "eval_loss": 0.3080659508705139, "eval_runtime": 2.7772, "eval_samples_per_second": 682.698, "eval_steps_per_second": 21.604, "step": 800 }, { "epoch": 5.92, "learning_rate": 4.299065420560748e-06, "loss": 0.2559, "step": 1000 }, { "epoch": 5.92, "eval_f1": 0.37526293741944416, "eval_f1_all": [ 0.5243619489559165, 0.5671641791044777, 0.06896551724137931, 0.1724137931034483, 0.6521327014218009, 0.11363636363636363, 0.3711340206185567, 0.0, 0.7530312699425653, 0.6465116279069768, 0.42857142857142855, 0.5034387895460799, 0.0, 0.015384615384615385, 0.5711743772241993, 0.17629179331306988, 0.6535162950257289, 0.6972477064220184, 0.11290322580645162, 0.4773790951638066 ], "eval_loss": 0.30820420384407043, "eval_runtime": 2.6936, "eval_samples_per_second": 703.901, "eval_steps_per_second": 22.275, "step": 1000 }, { "epoch": 7.1, "learning_rate": 3.0529595015576325e-06, "loss": 0.2414, "step": 1200 }, { "epoch": 7.1, "eval_f1": 0.3950704777630208, "eval_f1_all": [ 0.5097087378640777, 0.5710872162485066, 0.13924050632911392, 0.25757575757575757, 0.6406406406406406, 0.17346938775510204, 0.3553299492385787, 0.0, 0.7513020833333334, 0.6586586586586587, 0.47727272727272735, 0.5625, 0.0, 0.015267175572519085, 0.5554520037278659, 0.24444444444444446, 0.6672012830793906, 0.7079646017699114, 0.14925373134328354, 0.4650406504065041 ], "eval_loss": 0.309607595205307, "eval_runtime": 2.8834, "eval_samples_per_second": 657.552, "eval_steps_per_second": 20.809, "step": 1200 }, { "epoch": 8.28, "learning_rate": 1.8068535825545173e-06, "loss": 0.2305, "step": 1400 }, { "epoch": 8.28, "eval_f1": 0.38770117434745416, "eval_f1_all": [ 0.5200945626477541, 0.5766590389016018, 0.11842105263157895, 0.22399999999999998, 0.6587771203155818, 0.1658031088082902, 0.380952380952381, 0.0, 0.7496774193548387, 0.6578657865786579, 0.4302788844621514, 0.5163043478260869, 0.0, 0.015267175572519085, 0.5784832451499118, 0.1567398119122257, 0.7061435973353072, 0.690909090909091, 0.1450381679389313, 0.4626086956521739 ], "eval_loss": 0.3088609278202057, "eval_runtime": 2.6739, "eval_samples_per_second": 709.087, "eval_steps_per_second": 22.439, "step": 1400 }, { "epoch": 9.47, "learning_rate": 5.607476635514019e-07, "loss": 0.2244, "step": 1600 }, { "epoch": 9.47, "eval_f1": 0.39269551799562785, "eval_f1_all": [ 0.5283018867924528, 0.5794392523364486, 0.11612903225806452, 0.22047244094488186, 0.6502369668246445, 0.19095477386934676, 0.3864734299516908, 0.0, 0.7457404980340759, 0.6617179215270413, 0.43307086614173235, 0.5231607629427792, 0.0, 0.015151515151515152, 0.5685740236148956, 0.2138728323699422, 0.6947852760736196, 0.7031963470319635, 0.14869888475836432, 0.47393364928909953 ], "eval_loss": 0.3094000220298767, "eval_runtime": 3.0101, "eval_samples_per_second": 629.877, "eval_steps_per_second": 19.933, "step": 1600 } ], "max_steps": 1690, "num_train_epochs": 10, "total_flos": 8787505912201752.0, "trial_name": null, "trial_params": null }