File size: 4,472 Bytes
37dd3a5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 | {
"best_global_step": 570,
"best_metric": 0.0015665935352444649,
"best_model_checkpoint": "./guardrail_model\\checkpoint-570",
"epoch": 10.0,
"eval_steps": 500,
"global_step": 950,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.9940476190476191,
"eval_f1": 0.9941583470995236,
"eval_loss": 0.038976069539785385,
"eval_precision": 0.9956709956709956,
"eval_recall": 0.9927536231884058,
"eval_runtime": 0.2694,
"eval_samples_per_second": 623.529,
"eval_steps_per_second": 77.941,
"step": 95
},
{
"epoch": 2.0,
"eval_accuracy": 0.9940476190476191,
"eval_f1": 0.9942082650905553,
"eval_loss": 0.018449116498231888,
"eval_precision": 0.9929078014184397,
"eval_recall": 0.9956140350877193,
"eval_runtime": 0.5024,
"eval_samples_per_second": 334.383,
"eval_steps_per_second": 41.798,
"step": 190
},
{
"epoch": 3.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.005749495234340429,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.4167,
"eval_samples_per_second": 403.171,
"eval_steps_per_second": 50.396,
"step": 285
},
{
"epoch": 4.0,
"eval_accuracy": 0.9880952380952381,
"eval_f1": 0.9884633569739952,
"eval_loss": 0.02493114396929741,
"eval_precision": 0.9861111111111112,
"eval_recall": 0.9912280701754387,
"eval_runtime": 0.3582,
"eval_samples_per_second": 468.954,
"eval_steps_per_second": 58.619,
"step": 380
},
{
"epoch": 5.0,
"eval_accuracy": 0.9940476190476191,
"eval_f1": 0.9927527669463153,
"eval_loss": 0.009493241086602211,
"eval_precision": 0.9929078014184397,
"eval_recall": 0.9927536231884058,
"eval_runtime": 0.256,
"eval_samples_per_second": 656.141,
"eval_steps_per_second": 82.018,
"step": 475
},
{
"epoch": 5.2631578947368425,
"grad_norm": 0.01788582280278206,
"learning_rate": 9.494736842105265e-06,
"loss": 0.0837,
"step": 500
},
{
"epoch": 6.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.0015665935352444649,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.2619,
"eval_samples_per_second": 641.401,
"eval_steps_per_second": 80.175,
"step": 570
},
{
"epoch": 7.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.003049974562600255,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.2578,
"eval_samples_per_second": 651.735,
"eval_steps_per_second": 81.467,
"step": 665
},
{
"epoch": 8.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.004172018729150295,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.2574,
"eval_samples_per_second": 652.703,
"eval_steps_per_second": 81.588,
"step": 760
},
{
"epoch": 9.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.004257123451679945,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.2587,
"eval_samples_per_second": 649.434,
"eval_steps_per_second": 81.179,
"step": 855
},
{
"epoch": 10.0,
"eval_accuracy": 1.0,
"eval_f1": 1.0,
"eval_loss": 0.004139341879636049,
"eval_precision": 1.0,
"eval_recall": 1.0,
"eval_runtime": 0.2544,
"eval_samples_per_second": 660.397,
"eval_steps_per_second": 82.55,
"step": 950
}
],
"logging_steps": 500,
"max_steps": 950,
"num_input_tokens_seen": 0,
"num_train_epochs": 10,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 101364981453558.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": null
}
|