| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0253164556962024, | |
| "eval_steps": 20, | |
| "global_step": 81, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.01, | |
| "learning_rate": 0.0, | |
| "loss": 0.6625, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.01, | |
| "eval_loss": 0.9669284820556641, | |
| "eval_runtime": 22.2599, | |
| "eval_samples_per_second": 11.231, | |
| "eval_steps_per_second": 2.83, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "learning_rate": 6.666666e-07, | |
| "loss": 0.7012, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 1.3333332e-06, | |
| "loss": 0.6954, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.05, | |
| "learning_rate": 1.9999997999999996e-06, | |
| "loss": 0.6383, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "learning_rate": 2.6666664e-06, | |
| "loss": 0.6993, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 3.3333329999999998e-06, | |
| "loss": 0.6388, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "learning_rate": 3.999999599999999e-06, | |
| "loss": 0.6847, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "learning_rate": 4.6666662e-06, | |
| "loss": 0.6973, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.11, | |
| "learning_rate": 5.3333328e-06, | |
| "loss": 0.703, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "learning_rate": 5.999999399999999e-06, | |
| "loss": 0.6826, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.14, | |
| "learning_rate": 6.6666659999999995e-06, | |
| "loss": 0.6939, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "learning_rate": 7.333332599999999e-06, | |
| "loss": 0.6879, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 7.999999199999998e-06, | |
| "loss": 0.687, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.18, | |
| "learning_rate": 8.6666658e-06, | |
| "loss": 0.6471, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "learning_rate": 9.3333324e-06, | |
| "loss": 0.6658, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 9.999998999999998e-06, | |
| "loss": 0.6669, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "learning_rate": 1.06666656e-05, | |
| "loss": 0.6451, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 1.13333322e-05, | |
| "loss": 0.6558, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.1999998799999998e-05, | |
| "loss": 0.6714, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "learning_rate": 1.26666654e-05, | |
| "loss": 0.7123, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_loss": 0.9579811096191406, | |
| "eval_runtime": 22.7924, | |
| "eval_samples_per_second": 10.969, | |
| "eval_steps_per_second": 2.764, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.27, | |
| "learning_rate": 1.3333331999999999e-05, | |
| "loss": 0.6388, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "learning_rate": 1.3999998599999999e-05, | |
| "loss": 0.6355, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.4666665199999999e-05, | |
| "loss": 0.6237, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 0.3, | |
| "learning_rate": 1.53333318e-05, | |
| "loss": 0.6214, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 1.5999998399999997e-05, | |
| "loss": 0.6045, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 1.6666665e-05, | |
| "loss": 0.671, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 0.34, | |
| "learning_rate": 1.73333316e-05, | |
| "loss": 0.6042, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "learning_rate": 1.7999998199999998e-05, | |
| "loss": 0.6722, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 1.86666648e-05, | |
| "loss": 0.6132, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 1.9333331399999998e-05, | |
| "loss": 0.5651, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "learning_rate": 1.9999997999999996e-05, | |
| "loss": 0.6525, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.0666664599999998e-05, | |
| "loss": 0.6532, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 0.42, | |
| "learning_rate": 2.13333312e-05, | |
| "loss": 0.6167, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 0.43, | |
| "learning_rate": 2.1999997799999997e-05, | |
| "loss": 0.607, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "learning_rate": 2.26666644e-05, | |
| "loss": 0.5843, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.46, | |
| "learning_rate": 2.3333330999999997e-05, | |
| "loss": 0.6093, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "learning_rate": 2.3999997599999995e-05, | |
| "loss": 0.5967, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "learning_rate": 2.4666664199999997e-05, | |
| "loss": 0.6015, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 2.53333308e-05, | |
| "loss": 0.6263, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "learning_rate": 2.59999974e-05, | |
| "loss": 0.5923, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.51, | |
| "eval_loss": 0.9467829465866089, | |
| "eval_runtime": 22.6276, | |
| "eval_samples_per_second": 11.048, | |
| "eval_steps_per_second": 2.784, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "learning_rate": 2.6666663999999998e-05, | |
| "loss": 0.5801, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 2.7333330599999996e-05, | |
| "loss": 0.576, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 0.54, | |
| "learning_rate": 2.7999997199999998e-05, | |
| "loss": 0.6317, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "learning_rate": 2.8666663799999996e-05, | |
| "loss": 0.5874, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 2.9333330399999998e-05, | |
| "loss": 0.6109, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "learning_rate": 2.9999997e-05, | |
| "loss": 0.5274, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 0.59, | |
| "learning_rate": 3.06666636e-05, | |
| "loss": 0.5698, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 3.133333019999999e-05, | |
| "loss": 0.544, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 0.62, | |
| "learning_rate": 3.1999996799999994e-05, | |
| "loss": 0.5586, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "learning_rate": 3.2666663399999995e-05, | |
| "loss": 0.5666, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 3.333333e-05, | |
| "loss": 0.586, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "learning_rate": 3.39999966e-05, | |
| "loss": 0.6225, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 0.67, | |
| "learning_rate": 3.46666632e-05, | |
| "loss": 0.5588, | |
| "step": 53 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 3.53333298e-05, | |
| "loss": 0.5705, | |
| "step": 54 | |
| }, | |
| { | |
| "epoch": 0.7, | |
| "learning_rate": 3.5999996399999996e-05, | |
| "loss": 0.5628, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.71, | |
| "learning_rate": 3.6666663e-05, | |
| "loss": 0.5868, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "learning_rate": 3.73333296e-05, | |
| "loss": 0.5583, | |
| "step": 57 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 3.7999996199999994e-05, | |
| "loss": 0.5858, | |
| "step": 58 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "learning_rate": 3.8666662799999996e-05, | |
| "loss": 0.5756, | |
| "step": 59 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 3.93333294e-05, | |
| "loss": 0.5822, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "eval_loss": 0.9389348030090332, | |
| "eval_runtime": 22.5892, | |
| "eval_samples_per_second": 11.067, | |
| "eval_steps_per_second": 2.789, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 3.999999599999999e-05, | |
| "loss": 0.5667, | |
| "step": 61 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "learning_rate": 4.0666662599999994e-05, | |
| "loss": 0.5616, | |
| "step": 62 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "learning_rate": 4.1333329199999995e-05, | |
| "loss": 0.5678, | |
| "step": 63 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 4.19999958e-05, | |
| "loss": 0.5514, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "learning_rate": 4.26666624e-05, | |
| "loss": 0.5732, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "learning_rate": 4.3333329e-05, | |
| "loss": 0.5794, | |
| "step": 66 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "learning_rate": 4.3999995599999995e-05, | |
| "loss": 0.5582, | |
| "step": 67 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 4.4666662199999996e-05, | |
| "loss": 0.5575, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "learning_rate": 4.53333288e-05, | |
| "loss": 0.5558, | |
| "step": 69 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "learning_rate": 4.599999539999999e-05, | |
| "loss": 0.5707, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 4.6666661999999994e-05, | |
| "loss": 0.54, | |
| "step": 71 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 4.7333328599999996e-05, | |
| "loss": 0.5435, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "learning_rate": 4.799999519999999e-05, | |
| "loss": 0.5649, | |
| "step": 73 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 4.866666179999999e-05, | |
| "loss": 0.5617, | |
| "step": 74 | |
| }, | |
| { | |
| "epoch": 0.95, | |
| "learning_rate": 4.9333328399999994e-05, | |
| "loss": 0.5651, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "learning_rate": 4.9999994999999995e-05, | |
| "loss": 0.5113, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 5.06666616e-05, | |
| "loss": 0.5389, | |
| "step": 77 | |
| }, | |
| { | |
| "epoch": 0.99, | |
| "learning_rate": 5.13333282e-05, | |
| "loss": 0.5162, | |
| "step": 78 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 5.19999948e-05, | |
| "loss": 0.5397, | |
| "step": 79 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "learning_rate": 5.2666661399999995e-05, | |
| "loss": 0.5794, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "eval_loss": 0.9314417839050293, | |
| "eval_runtime": 22.7753, | |
| "eval_samples_per_second": 10.977, | |
| "eval_steps_per_second": 2.766, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.03, | |
| "learning_rate": 5.3333327999999996e-05, | |
| "loss": 0.5263, | |
| "step": 81 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 395, | |
| "num_train_epochs": 5, | |
| "save_steps": 500, | |
| "total_flos": 4.582997284010066e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |