File size: 5,864 Bytes
a9daab5 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 |
{
"best_metric": 0.8213333333333334,
"best_model_checkpoint": "Bert_tinybert-distilled/run-17/checkpoint-1376",
"epoch": 9.0,
"eval_steps": 500,
"global_step": 1548,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.8996825218200684,
"learning_rate": 0.00018817928905452526,
"loss": 0.4453,
"step": 172
},
{
"epoch": 1.0,
"eval_AUC": 0.8236924444444444,
"eval_BAC": 0.7266666666666667,
"eval_MCC": 0.4600832969449537,
"eval_PR_AUC": 0.7804386215311028,
"eval_accuracy": 0.7266666666666667,
"eval_loss": 0.41169798374176025,
"eval_runtime": 6.2662,
"eval_samples_per_second": 239.379,
"eval_steps_per_second": 7.501,
"step": 172
},
{
"epoch": 2.0,
"grad_norm": 1.0351688861846924,
"learning_rate": 0.0001646568779227096,
"loss": 0.4213,
"step": 344
},
{
"epoch": 2.0,
"eval_AUC": 0.8474275555555556,
"eval_BAC": 0.7453333333333334,
"eval_MCC": 0.5440525853779636,
"eval_PR_AUC": 0.8071261622681414,
"eval_accuracy": 0.7453333333333333,
"eval_loss": 0.41122254729270935,
"eval_runtime": 6.2642,
"eval_samples_per_second": 239.457,
"eval_steps_per_second": 7.503,
"step": 344
},
{
"epoch": 3.0,
"grad_norm": 1.5609855651855469,
"learning_rate": 0.00014113446679089392,
"loss": 0.4096,
"step": 516
},
{
"epoch": 3.0,
"eval_AUC": 0.8763626666666667,
"eval_BAC": 0.8093333333333333,
"eval_MCC": 0.6314240225841081,
"eval_PR_AUC": 0.841535983625851,
"eval_accuracy": 0.8093333333333333,
"eval_loss": 0.3761481046676636,
"eval_runtime": 6.277,
"eval_samples_per_second": 238.967,
"eval_steps_per_second": 7.488,
"step": 516
},
{
"epoch": 4.0,
"grad_norm": 2.15095591545105,
"learning_rate": 0.00011761205565907828,
"loss": 0.3997,
"step": 688
},
{
"epoch": 4.0,
"eval_AUC": 0.8826080000000001,
"eval_BAC": 0.8093333333333332,
"eval_MCC": 0.6297353307925535,
"eval_PR_AUC": 0.8579321059753027,
"eval_accuracy": 0.8093333333333333,
"eval_loss": 0.3721379339694977,
"eval_runtime": 6.2809,
"eval_samples_per_second": 238.818,
"eval_steps_per_second": 7.483,
"step": 688
},
{
"epoch": 5.0,
"grad_norm": 1.7977828979492188,
"learning_rate": 9.408964452726263e-05,
"loss": 0.3901,
"step": 860
},
{
"epoch": 5.0,
"eval_AUC": 0.8896995555555555,
"eval_BAC": 0.8146666666666667,
"eval_MCC": 0.636998520566478,
"eval_PR_AUC": 0.8700939507087682,
"eval_accuracy": 0.8146666666666667,
"eval_loss": 0.3646060526371002,
"eval_runtime": 6.2599,
"eval_samples_per_second": 239.621,
"eval_steps_per_second": 7.508,
"step": 860
},
{
"epoch": 6.0,
"grad_norm": 2.0664055347442627,
"learning_rate": 7.056723339544696e-05,
"loss": 0.3846,
"step": 1032
},
{
"epoch": 6.0,
"eval_AUC": 0.8885244444444446,
"eval_BAC": 0.812,
"eval_MCC": 0.6345192563324739,
"eval_PR_AUC": 0.8498945081379672,
"eval_accuracy": 0.812,
"eval_loss": 0.36806994676589966,
"eval_runtime": 6.2717,
"eval_samples_per_second": 239.169,
"eval_steps_per_second": 7.494,
"step": 1032
},
{
"epoch": 7.0,
"grad_norm": 2.351468801498413,
"learning_rate": 4.7044822263631315e-05,
"loss": 0.3791,
"step": 1204
},
{
"epoch": 7.0,
"eval_AUC": 0.8900231111111112,
"eval_BAC": 0.8180000000000001,
"eval_MCC": 0.6418466082815267,
"eval_PR_AUC": 0.8644464782061326,
"eval_accuracy": 0.818,
"eval_loss": 0.3628422021865845,
"eval_runtime": 6.244,
"eval_samples_per_second": 240.232,
"eval_steps_per_second": 7.527,
"step": 1204
},
{
"epoch": 8.0,
"grad_norm": 1.438085675239563,
"learning_rate": 2.3522411131815657e-05,
"loss": 0.376,
"step": 1376
},
{
"epoch": 8.0,
"eval_AUC": 0.8940835555555554,
"eval_BAC": 0.8213333333333334,
"eval_MCC": 0.6463542230804561,
"eval_PR_AUC": 0.8707386681458926,
"eval_accuracy": 0.8213333333333334,
"eval_loss": 0.3610929250717163,
"eval_runtime": 6.2579,
"eval_samples_per_second": 239.696,
"eval_steps_per_second": 7.51,
"step": 1376
},
{
"epoch": 9.0,
"grad_norm": 1.2869964838027954,
"learning_rate": 0.0,
"loss": 0.3747,
"step": 1548
},
{
"epoch": 9.0,
"eval_AUC": 0.8969119999999999,
"eval_BAC": 0.8140000000000001,
"eval_MCC": 0.6394011437485282,
"eval_PR_AUC": 0.8712273615291846,
"eval_accuracy": 0.814,
"eval_loss": 0.3661109209060669,
"eval_runtime": 6.2498,
"eval_samples_per_second": 240.007,
"eval_steps_per_second": 7.52,
"step": 1548
}
],
"logging_steps": 500,
"max_steps": 1548,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"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": 4053399570000.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.6759429935635236,
"learning_rate": 0.0002117017001863409,
"num_train_epochs": 9,
"temperature": 2
}
}
|