| { | |
| "best_metric": 0.08750259131193161, | |
| "best_model_checkpoint": "./beans_outputs/checkpoint-520", | |
| "epoch": 5.0, | |
| "global_step": 650, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 1.9692307692307696e-05, | |
| "loss": 1.0373, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 1.9384615384615386e-05, | |
| "loss": 0.9101, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 1.907692307692308e-05, | |
| "loss": 0.864, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "learning_rate": 1.876923076923077e-05, | |
| "loss": 0.747, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 1.8461538461538465e-05, | |
| "loss": 0.6392, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 1.8153846153846155e-05, | |
| "loss": 0.6193, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 1.784615384615385e-05, | |
| "loss": 0.5311, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 1.753846153846154e-05, | |
| "loss": 0.5063, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 1.7230769230769234e-05, | |
| "loss": 0.4133, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 1.6923076923076924e-05, | |
| "loss": 0.3749, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 1.6615384615384618e-05, | |
| "loss": 0.3158, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 1.630769230769231e-05, | |
| "loss": 0.311, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 1.6000000000000003e-05, | |
| "loss": 0.2574, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9624060150375939, | |
| "eval_loss": 0.23068006336688995, | |
| "eval_runtime": 0.7854, | |
| "eval_samples_per_second": 169.35, | |
| "eval_steps_per_second": 21.646, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 1.08, | |
| "learning_rate": 1.5692307692307693e-05, | |
| "loss": 0.26, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "learning_rate": 1.5384615384615387e-05, | |
| "loss": 0.2717, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "learning_rate": 1.5076923076923078e-05, | |
| "loss": 0.2003, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 1.31, | |
| "learning_rate": 1.4769230769230772e-05, | |
| "loss": 0.2644, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "learning_rate": 1.4461538461538462e-05, | |
| "loss": 0.2328, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 1.4153846153846156e-05, | |
| "loss": 0.1903, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "learning_rate": 1.3846153846153847e-05, | |
| "loss": 0.1645, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 1.353846153846154e-05, | |
| "loss": 0.1779, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 1.69, | |
| "learning_rate": 1.3230769230769231e-05, | |
| "loss": 0.1344, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 1.77, | |
| "learning_rate": 1.2923076923076925e-05, | |
| "loss": 0.2087, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "learning_rate": 1.2615384615384616e-05, | |
| "loss": 0.1805, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 1.92, | |
| "learning_rate": 1.230769230769231e-05, | |
| "loss": 0.257, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 1.2e-05, | |
| "loss": 0.2785, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9924812030075187, | |
| "eval_loss": 0.11085593700408936, | |
| "eval_runtime": 0.7261, | |
| "eval_samples_per_second": 183.181, | |
| "eval_steps_per_second": 23.414, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "learning_rate": 1.1692307692307694e-05, | |
| "loss": 0.1156, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "learning_rate": 1.1384615384615385e-05, | |
| "loss": 0.2379, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 2.23, | |
| "learning_rate": 1.1076923076923079e-05, | |
| "loss": 0.1595, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 2.31, | |
| "learning_rate": 1.076923076923077e-05, | |
| "loss": 0.1538, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.38, | |
| "learning_rate": 1.0461538461538463e-05, | |
| "loss": 0.1327, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 2.46, | |
| "learning_rate": 1.0153846153846154e-05, | |
| "loss": 0.1531, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 2.54, | |
| "learning_rate": 9.846153846153848e-06, | |
| "loss": 0.1555, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 2.62, | |
| "learning_rate": 9.53846153846154e-06, | |
| "loss": 0.0795, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 2.69, | |
| "learning_rate": 9.230769230769232e-06, | |
| "loss": 0.1509, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 2.77, | |
| "learning_rate": 8.923076923076925e-06, | |
| "loss": 0.085, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 2.85, | |
| "learning_rate": 8.615384615384617e-06, | |
| "loss": 0.0892, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 2.92, | |
| "learning_rate": 8.307692307692309e-06, | |
| "loss": 0.1027, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 0.1496, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.9699248120300752, | |
| "eval_loss": 0.1108752116560936, | |
| "eval_runtime": 0.7271, | |
| "eval_samples_per_second": 182.92, | |
| "eval_steps_per_second": 23.381, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 3.08, | |
| "learning_rate": 7.692307692307694e-06, | |
| "loss": 0.0736, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "learning_rate": 7.384615384615386e-06, | |
| "loss": 0.1826, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 3.23, | |
| "learning_rate": 7.076923076923078e-06, | |
| "loss": 0.114, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 3.31, | |
| "learning_rate": 6.76923076923077e-06, | |
| "loss": 0.1118, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 3.38, | |
| "learning_rate": 6.461538461538463e-06, | |
| "loss": 0.1784, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 3.46, | |
| "learning_rate": 6.153846153846155e-06, | |
| "loss": 0.136, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 3.54, | |
| "learning_rate": 5.846153846153847e-06, | |
| "loss": 0.1355, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 3.62, | |
| "learning_rate": 5.538461538461539e-06, | |
| "loss": 0.1206, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 3.69, | |
| "learning_rate": 5.230769230769232e-06, | |
| "loss": 0.07, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 3.77, | |
| "learning_rate": 4.923076923076924e-06, | |
| "loss": 0.1443, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 3.85, | |
| "learning_rate": 4.615384615384616e-06, | |
| "loss": 0.1796, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.92, | |
| "learning_rate": 4.307692307692308e-06, | |
| "loss": 0.1573, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "learning_rate": 4.000000000000001e-06, | |
| "loss": 0.0916, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.9849624060150376, | |
| "eval_loss": 0.08750259131193161, | |
| "eval_runtime": 0.7445, | |
| "eval_samples_per_second": 178.634, | |
| "eval_steps_per_second": 22.833, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 4.08, | |
| "learning_rate": 3.692307692307693e-06, | |
| "loss": 0.0568, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 4.15, | |
| "learning_rate": 3.384615384615385e-06, | |
| "loss": 0.0947, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 4.23, | |
| "learning_rate": 3.0769230769230774e-06, | |
| "loss": 0.1288, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 4.31, | |
| "learning_rate": 2.7692307692307697e-06, | |
| "loss": 0.0924, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 4.38, | |
| "learning_rate": 2.461538461538462e-06, | |
| "loss": 0.1776, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 4.46, | |
| "learning_rate": 2.153846153846154e-06, | |
| "loss": 0.1154, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 4.54, | |
| "learning_rate": 1.8461538461538465e-06, | |
| "loss": 0.049, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 4.62, | |
| "learning_rate": 1.5384615384615387e-06, | |
| "loss": 0.1061, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 4.69, | |
| "learning_rate": 1.230769230769231e-06, | |
| "loss": 0.1438, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 9.230769230769232e-07, | |
| "loss": 0.0917, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 4.85, | |
| "learning_rate": 6.153846153846155e-07, | |
| "loss": 0.2111, | |
| "step": 630 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "learning_rate": 3.0769230769230774e-07, | |
| "loss": 0.093, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.1489, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.9774436090225563, | |
| "eval_loss": 0.08863506466150284, | |
| "eval_runtime": 0.7378, | |
| "eval_samples_per_second": 180.271, | |
| "eval_steps_per_second": 23.042, | |
| "step": 650 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "step": 650, | |
| "total_flos": 4.006371770595533e+17, | |
| "train_loss": 0.0, | |
| "train_runtime": 0.6777, | |
| "train_samples_per_second": 7628.355, | |
| "train_steps_per_second": 959.077 | |
| } | |
| ], | |
| "max_steps": 650, | |
| "num_train_epochs": 5, | |
| "total_flos": 4.006371770595533e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |