| { | |
| "best_metric": 1.0, | |
| "best_model_checkpoint": "delivery_truck_classification/checkpoint-4", | |
| "epoch": 59.94117647058823, | |
| "global_step": 240, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7584, | |
| "eval_samples_per_second": 15.698, | |
| "eval_steps_per_second": 0.532, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.805, | |
| "eval_samples_per_second": 15.506, | |
| "eval_steps_per_second": 0.526, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7489, | |
| "eval_samples_per_second": 15.738, | |
| "eval_steps_per_second": 0.533, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 3.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8228, | |
| "eval_samples_per_second": 15.434, | |
| "eval_steps_per_second": 0.523, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2595, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 4.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7534, | |
| "eval_samples_per_second": 15.719, | |
| "eval_steps_per_second": 0.533, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 5.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7496, | |
| "eval_samples_per_second": 15.735, | |
| "eval_steps_per_second": 0.533, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 6.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.798, | |
| "eval_samples_per_second": 15.534, | |
| "eval_steps_per_second": 0.527, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 7.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7322, | |
| "eval_samples_per_second": 15.808, | |
| "eval_steps_per_second": 0.536, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 8.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7416, | |
| "eval_samples_per_second": 15.769, | |
| "eval_steps_per_second": 0.535, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2679, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 9.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7284, | |
| "eval_samples_per_second": 15.824, | |
| "eval_steps_per_second": 0.536, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 10.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.726, | |
| "eval_samples_per_second": 15.835, | |
| "eval_steps_per_second": 0.537, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 11.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7864, | |
| "eval_samples_per_second": 15.582, | |
| "eval_steps_per_second": 0.528, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 12.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8076, | |
| "eval_samples_per_second": 15.495, | |
| "eval_steps_per_second": 0.525, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 13.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7937, | |
| "eval_samples_per_second": 15.552, | |
| "eval_steps_per_second": 0.527, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 14.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.275, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 14.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7461, | |
| "eval_samples_per_second": 15.75, | |
| "eval_steps_per_second": 0.534, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 15.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8277, | |
| "eval_samples_per_second": 15.414, | |
| "eval_steps_per_second": 0.523, | |
| "step": 64 | |
| }, | |
| { | |
| "epoch": 16.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.764, | |
| "eval_samples_per_second": 15.675, | |
| "eval_steps_per_second": 0.531, | |
| "step": 68 | |
| }, | |
| { | |
| "epoch": 17.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7719, | |
| "eval_samples_per_second": 15.642, | |
| "eval_steps_per_second": 0.53, | |
| "step": 72 | |
| }, | |
| { | |
| "epoch": 18.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.826, | |
| "eval_samples_per_second": 15.421, | |
| "eval_steps_per_second": 0.523, | |
| "step": 76 | |
| }, | |
| { | |
| "epoch": 19.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.248, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 19.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7289, | |
| "eval_samples_per_second": 15.822, | |
| "eval_steps_per_second": 0.536, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 20.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7427, | |
| "eval_samples_per_second": 15.764, | |
| "eval_steps_per_second": 0.534, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 21.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.6831, | |
| "eval_samples_per_second": 16.019, | |
| "eval_steps_per_second": 0.543, | |
| "step": 88 | |
| }, | |
| { | |
| "epoch": 22.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.764, | |
| "eval_samples_per_second": 15.675, | |
| "eval_steps_per_second": 0.531, | |
| "step": 92 | |
| }, | |
| { | |
| "epoch": 23.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7309, | |
| "eval_samples_per_second": 15.814, | |
| "eval_steps_per_second": 0.536, | |
| "step": 96 | |
| }, | |
| { | |
| "epoch": 24.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2669, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 24.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7661, | |
| "eval_samples_per_second": 15.666, | |
| "eval_steps_per_second": 0.531, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 25.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.682, | |
| "eval_samples_per_second": 16.024, | |
| "eval_steps_per_second": 0.543, | |
| "step": 104 | |
| }, | |
| { | |
| "epoch": 26.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7339, | |
| "eval_samples_per_second": 15.801, | |
| "eval_steps_per_second": 0.536, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 27.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8015, | |
| "eval_samples_per_second": 15.52, | |
| "eval_steps_per_second": 0.526, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 28.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7232, | |
| "eval_samples_per_second": 15.846, | |
| "eval_steps_per_second": 0.537, | |
| "step": 116 | |
| }, | |
| { | |
| "epoch": 29.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2589, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 29.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7329, | |
| "eval_samples_per_second": 15.805, | |
| "eval_steps_per_second": 0.536, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 30.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7815, | |
| "eval_samples_per_second": 15.602, | |
| "eval_steps_per_second": 0.529, | |
| "step": 124 | |
| }, | |
| { | |
| "epoch": 31.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7496, | |
| "eval_samples_per_second": 15.735, | |
| "eval_steps_per_second": 0.533, | |
| "step": 128 | |
| }, | |
| { | |
| "epoch": 32.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7126, | |
| "eval_samples_per_second": 15.892, | |
| "eval_steps_per_second": 0.539, | |
| "step": 132 | |
| }, | |
| { | |
| "epoch": 33.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.6855, | |
| "eval_samples_per_second": 16.009, | |
| "eval_steps_per_second": 0.543, | |
| "step": 136 | |
| }, | |
| { | |
| "epoch": 34.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.278, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 34.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7784, | |
| "eval_samples_per_second": 15.615, | |
| "eval_steps_per_second": 0.529, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 35.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7189, | |
| "eval_samples_per_second": 15.865, | |
| "eval_steps_per_second": 0.538, | |
| "step": 144 | |
| }, | |
| { | |
| "epoch": 36.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7865, | |
| "eval_samples_per_second": 15.582, | |
| "eval_steps_per_second": 0.528, | |
| "step": 148 | |
| }, | |
| { | |
| "epoch": 37.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7161, | |
| "eval_samples_per_second": 15.877, | |
| "eval_steps_per_second": 0.538, | |
| "step": 152 | |
| }, | |
| { | |
| "epoch": 38.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7413, | |
| "eval_samples_per_second": 15.77, | |
| "eval_steps_per_second": 0.535, | |
| "step": 156 | |
| }, | |
| { | |
| "epoch": 39.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.273, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 39.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7504, | |
| "eval_samples_per_second": 15.732, | |
| "eval_steps_per_second": 0.533, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 40.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7301, | |
| "eval_samples_per_second": 15.817, | |
| "eval_steps_per_second": 0.536, | |
| "step": 164 | |
| }, | |
| { | |
| "epoch": 41.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.6896, | |
| "eval_samples_per_second": 15.991, | |
| "eval_steps_per_second": 0.542, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 42.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8409, | |
| "eval_samples_per_second": 15.361, | |
| "eval_steps_per_second": 0.521, | |
| "step": 172 | |
| }, | |
| { | |
| "epoch": 43.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7381, | |
| "eval_samples_per_second": 15.783, | |
| "eval_steps_per_second": 0.535, | |
| "step": 176 | |
| }, | |
| { | |
| "epoch": 44.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2535, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 44.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7521, | |
| "eval_samples_per_second": 15.724, | |
| "eval_steps_per_second": 0.533, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 45.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7759, | |
| "eval_samples_per_second": 15.625, | |
| "eval_steps_per_second": 0.53, | |
| "step": 184 | |
| }, | |
| { | |
| "epoch": 46.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7894, | |
| "eval_samples_per_second": 15.57, | |
| "eval_steps_per_second": 0.528, | |
| "step": 188 | |
| }, | |
| { | |
| "epoch": 47.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7432, | |
| "eval_samples_per_second": 15.762, | |
| "eval_steps_per_second": 0.534, | |
| "step": 192 | |
| }, | |
| { | |
| "epoch": 48.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7921, | |
| "eval_samples_per_second": 15.559, | |
| "eval_steps_per_second": 0.527, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 49.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2762, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 49.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8149, | |
| "eval_samples_per_second": 15.466, | |
| "eval_steps_per_second": 0.524, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 50.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7494, | |
| "eval_samples_per_second": 15.736, | |
| "eval_steps_per_second": 0.533, | |
| "step": 204 | |
| }, | |
| { | |
| "epoch": 51.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.758, | |
| "eval_samples_per_second": 15.7, | |
| "eval_steps_per_second": 0.532, | |
| "step": 208 | |
| }, | |
| { | |
| "epoch": 52.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 4.5125, | |
| "eval_samples_per_second": 13.075, | |
| "eval_steps_per_second": 0.443, | |
| "step": 212 | |
| }, | |
| { | |
| "epoch": 53.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.6913, | |
| "eval_samples_per_second": 15.983, | |
| "eval_steps_per_second": 0.542, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 54.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2798, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 54.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7635, | |
| "eval_samples_per_second": 15.677, | |
| "eval_steps_per_second": 0.531, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 55.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7464, | |
| "eval_samples_per_second": 15.748, | |
| "eval_steps_per_second": 0.534, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 56.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7621, | |
| "eval_samples_per_second": 15.683, | |
| "eval_steps_per_second": 0.532, | |
| "step": 228 | |
| }, | |
| { | |
| "epoch": 57.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7552, | |
| "eval_samples_per_second": 15.712, | |
| "eval_steps_per_second": 0.533, | |
| "step": 232 | |
| }, | |
| { | |
| "epoch": 58.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.8189, | |
| "eval_samples_per_second": 15.449, | |
| "eval_steps_per_second": 0.524, | |
| "step": 236 | |
| }, | |
| { | |
| "epoch": 59.94, | |
| "learning_rate": 0.0, | |
| "loss": 0.2709, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 59.94, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.028991766273975372, | |
| "eval_runtime": 3.7206, | |
| "eval_samples_per_second": 15.858, | |
| "eval_steps_per_second": 0.538, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 59.94, | |
| "step": 240, | |
| "total_flos": 7.88616702456404e+17, | |
| "train_loss": 0.267316605647405, | |
| "train_runtime": 6314.82, | |
| "train_samples_per_second": 5.026, | |
| "train_steps_per_second": 0.038 | |
| } | |
| ], | |
| "max_steps": 240, | |
| "num_train_epochs": 60, | |
| "total_flos": 7.88616702456404e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |