| { | |
| "best_metric": 0.0012111830292269588, | |
| "best_model_checkpoint": "/leaves/checkpoint-400", | |
| "epoch": 50.0, | |
| "global_step": 400, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.25, | |
| "learning_rate": 0.000195, | |
| "loss": 0.2249, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.03227296099066734, | |
| "eval_runtime": 6.7134, | |
| "eval_samples_per_second": 1.192, | |
| "eval_steps_per_second": 0.149, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 0.00019, | |
| "loss": 0.0177, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.011206778697669506, | |
| "eval_runtime": 4.4578, | |
| "eval_samples_per_second": 1.795, | |
| "eval_steps_per_second": 0.224, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "learning_rate": 0.00018500000000000002, | |
| "loss": 0.0086, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.00745726190507412, | |
| "eval_runtime": 6.1312, | |
| "eval_samples_per_second": 1.305, | |
| "eval_steps_per_second": 0.163, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 0.00018, | |
| "loss": 0.0063, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0058769905008375645, | |
| "eval_runtime": 4.3511, | |
| "eval_samples_per_second": 1.839, | |
| "eval_steps_per_second": 0.23, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "learning_rate": 0.000175, | |
| "loss": 0.0051, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.005005857907235622, | |
| "eval_runtime": 6.0951, | |
| "eval_samples_per_second": 1.313, | |
| "eval_steps_per_second": 0.164, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 0.00017, | |
| "loss": 0.0045, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.004425144288688898, | |
| "eval_runtime": 4.3832, | |
| "eval_samples_per_second": 1.825, | |
| "eval_steps_per_second": 0.228, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "learning_rate": 0.000165, | |
| "loss": 0.004, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0039963009767234325, | |
| "eval_runtime": 4.3367, | |
| "eval_samples_per_second": 1.845, | |
| "eval_steps_per_second": 0.231, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 0.00016, | |
| "loss": 0.0036, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.003639573697000742, | |
| "eval_runtime": 4.3969, | |
| "eval_samples_per_second": 1.819, | |
| "eval_steps_per_second": 0.227, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 11.25, | |
| "learning_rate": 0.000155, | |
| "loss": 0.0033, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 11.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0033505873288959265, | |
| "eval_runtime": 4.3672, | |
| "eval_samples_per_second": 1.832, | |
| "eval_steps_per_second": 0.229, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 0.00015000000000000001, | |
| "loss": 0.0031, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.003097910899668932, | |
| "eval_runtime": 4.4215, | |
| "eval_samples_per_second": 1.809, | |
| "eval_steps_per_second": 0.226, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 13.75, | |
| "learning_rate": 0.000145, | |
| "loss": 0.0028, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 13.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0028831621166318655, | |
| "eval_runtime": 4.4829, | |
| "eval_samples_per_second": 1.785, | |
| "eval_steps_per_second": 0.223, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 0.00014, | |
| "loss": 0.0026, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.002691818866878748, | |
| "eval_runtime": 6.1147, | |
| "eval_samples_per_second": 1.308, | |
| "eval_steps_per_second": 0.164, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 16.25, | |
| "learning_rate": 0.00013500000000000003, | |
| "loss": 0.0025, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 16.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.002529613673686981, | |
| "eval_runtime": 4.923, | |
| "eval_samples_per_second": 1.625, | |
| "eval_steps_per_second": 0.203, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "learning_rate": 0.00013000000000000002, | |
| "loss": 0.0023, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 17.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.00238333223387599, | |
| "eval_runtime": 4.4274, | |
| "eval_samples_per_second": 1.807, | |
| "eval_steps_per_second": 0.226, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 18.75, | |
| "learning_rate": 0.000125, | |
| "loss": 0.0022, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 18.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.002253755461424589, | |
| "eval_runtime": 5.8958, | |
| "eval_samples_per_second": 1.357, | |
| "eval_steps_per_second": 0.17, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "learning_rate": 0.00012, | |
| "loss": 0.0021, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.002138556446880102, | |
| "eval_runtime": 4.3757, | |
| "eval_samples_per_second": 1.828, | |
| "eval_steps_per_second": 0.229, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 21.25, | |
| "learning_rate": 0.00011499999999999999, | |
| "loss": 0.002, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 21.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.002034764038398862, | |
| "eval_runtime": 6.0111, | |
| "eval_samples_per_second": 1.331, | |
| "eval_steps_per_second": 0.166, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "learning_rate": 0.00011000000000000002, | |
| "loss": 0.0019, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 22.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0019434543792158365, | |
| "eval_runtime": 8.0684, | |
| "eval_samples_per_second": 0.992, | |
| "eval_steps_per_second": 0.124, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 23.75, | |
| "learning_rate": 0.000105, | |
| "loss": 0.0018, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 23.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0018578022718429565, | |
| "eval_runtime": 4.356, | |
| "eval_samples_per_second": 1.837, | |
| "eval_steps_per_second": 0.23, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "learning_rate": 0.0001, | |
| "loss": 0.0017, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 25.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0017840128857642412, | |
| "eval_runtime": 4.4024, | |
| "eval_samples_per_second": 1.817, | |
| "eval_steps_per_second": 0.227, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 26.25, | |
| "learning_rate": 9.5e-05, | |
| "loss": 0.0016, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 26.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0017146510072052479, | |
| "eval_runtime": 6.2173, | |
| "eval_samples_per_second": 1.287, | |
| "eval_steps_per_second": 0.161, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "learning_rate": 9e-05, | |
| "loss": 0.0016, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 27.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0016539423959329724, | |
| "eval_runtime": 4.4503, | |
| "eval_samples_per_second": 1.798, | |
| "eval_steps_per_second": 0.225, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 28.75, | |
| "learning_rate": 8.5e-05, | |
| "loss": 0.0015, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 28.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0015984964556992054, | |
| "eval_runtime": 5.2504, | |
| "eval_samples_per_second": 1.524, | |
| "eval_steps_per_second": 0.19, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "learning_rate": 8e-05, | |
| "loss": 0.0015, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0015484185423702002, | |
| "eval_runtime": 4.3678, | |
| "eval_samples_per_second": 1.832, | |
| "eval_steps_per_second": 0.229, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 31.25, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.0014, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 31.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0015031290240585804, | |
| "eval_runtime": 4.7164, | |
| "eval_samples_per_second": 1.696, | |
| "eval_steps_per_second": 0.212, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "learning_rate": 7e-05, | |
| "loss": 0.0014, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 32.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0014625097392126918, | |
| "eval_runtime": 5.6004, | |
| "eval_samples_per_second": 1.428, | |
| "eval_steps_per_second": 0.179, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 33.75, | |
| "learning_rate": 6.500000000000001e-05, | |
| "loss": 0.0013, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 33.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0014250578824430704, | |
| "eval_runtime": 4.4145, | |
| "eval_samples_per_second": 1.812, | |
| "eval_steps_per_second": 0.227, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "learning_rate": 6e-05, | |
| "loss": 0.0013, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 35.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0013918605400249362, | |
| "eval_runtime": 6.1306, | |
| "eval_samples_per_second": 1.305, | |
| "eval_steps_per_second": 0.163, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 36.25, | |
| "learning_rate": 5.500000000000001e-05, | |
| "loss": 0.0013, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 36.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0013616828946396708, | |
| "eval_runtime": 4.4127, | |
| "eval_samples_per_second": 1.813, | |
| "eval_steps_per_second": 0.227, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0013, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 37.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0013343169121071696, | |
| "eval_runtime": 4.3912, | |
| "eval_samples_per_second": 1.822, | |
| "eval_steps_per_second": 0.228, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 38.75, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.0012, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 38.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0013108787825331092, | |
| "eval_runtime": 4.8701, | |
| "eval_samples_per_second": 1.643, | |
| "eval_steps_per_second": 0.205, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "learning_rate": 4e-05, | |
| "loss": 0.0012, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.001289389911107719, | |
| "eval_runtime": 5.9706, | |
| "eval_samples_per_second": 1.34, | |
| "eval_steps_per_second": 0.167, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 41.25, | |
| "learning_rate": 3.5e-05, | |
| "loss": 0.0012, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 41.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012705642729997635, | |
| "eval_runtime": 4.9479, | |
| "eval_samples_per_second": 1.617, | |
| "eval_steps_per_second": 0.202, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "learning_rate": 3e-05, | |
| "loss": 0.0012, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 42.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.00125490827485919, | |
| "eval_runtime": 4.9186, | |
| "eval_samples_per_second": 1.626, | |
| "eval_steps_per_second": 0.203, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 43.75, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.0012, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 43.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012415139935910702, | |
| "eval_runtime": 4.3622, | |
| "eval_samples_per_second": 1.834, | |
| "eval_steps_per_second": 0.229, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "learning_rate": 2e-05, | |
| "loss": 0.0012, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 45.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012306944699957967, | |
| "eval_runtime": 6.2742, | |
| "eval_samples_per_second": 1.275, | |
| "eval_steps_per_second": 0.159, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 46.25, | |
| "learning_rate": 1.5e-05, | |
| "loss": 0.0011, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 46.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012223005760461092, | |
| "eval_runtime": 5.7273, | |
| "eval_samples_per_second": 1.397, | |
| "eval_steps_per_second": 0.175, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "learning_rate": 1e-05, | |
| "loss": 0.0012, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 47.5, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012162283528596163, | |
| "eval_runtime": 4.7043, | |
| "eval_samples_per_second": 1.701, | |
| "eval_steps_per_second": 0.213, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 48.75, | |
| "learning_rate": 5e-06, | |
| "loss": 0.0011, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 48.75, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012125077191740274, | |
| "eval_runtime": 4.4338, | |
| "eval_samples_per_second": 1.804, | |
| "eval_steps_per_second": 0.226, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.0011, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.0012111830292269588, | |
| "eval_runtime": 5.2993, | |
| "eval_samples_per_second": 1.51, | |
| "eval_steps_per_second": 0.189, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "step": 400, | |
| "total_flos": 2.789711626125312e+17, | |
| "train_loss": 0.008226247422862798, | |
| "train_runtime": 8928.1619, | |
| "train_samples_per_second": 0.403, | |
| "train_steps_per_second": 0.045 | |
| } | |
| ], | |
| "max_steps": 400, | |
| "num_train_epochs": 50, | |
| "total_flos": 2.789711626125312e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |