File size: 9,557 Bytes
56b1324 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 |
{
"best_metric": 0.7667275846579111,
"best_model_checkpoint": "xlnet-base-cased/checkpoint-4501",
"epoch": 9.0,
"eval_steps": 500,
"global_step": 5787,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"learning_rate": 4.871695178849145e-05,
"loss": 1.2613,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7676219984508134,
"eval_f1_macro": 0.4818756771742453,
"eval_f1_micro": 0.7676219984508135,
"eval_f1_weighted": 0.7524385212708887,
"eval_loss": 0.775787353515625,
"eval_macro_fpr": 0.022019799606126652,
"eval_macro_sensitivity": 0.5128622254580788,
"eval_macro_specificity": 0.9823717840367622,
"eval_precision": 0.7672637518290021,
"eval_precision_macro": 0.5269420024270713,
"eval_recall": 0.7676219984508134,
"eval_recall_macro": 0.5128622254580788,
"eval_runtime": 65.0712,
"eval_samples_per_second": 19.84,
"eval_steps_per_second": 2.49,
"eval_weighted_fpr": 0.021165514321998025,
"eval_weighted_sensitivity": 0.7676219984508134,
"eval_weighted_specificity": 0.9679547621006213,
"step": 643
},
{
"epoch": 1.56,
"learning_rate": 4.7420943494038366e-05,
"loss": 0.7364,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.8071262587141751,
"eval_f1_macro": 0.701878478303997,
"eval_f1_micro": 0.8071262587141751,
"eval_f1_weighted": 0.8012788916547595,
"eval_loss": 0.6754755973815918,
"eval_macro_fpr": 0.01739858713969909,
"eval_macro_sensitivity": 0.6971761972643127,
"eval_macro_specificity": 0.9854830758512745,
"eval_precision": 0.8087721671110009,
"eval_precision_macro": 0.7425135911700289,
"eval_recall": 0.8071262587141751,
"eval_recall_macro": 0.6971761972643127,
"eval_runtime": 86.774,
"eval_samples_per_second": 14.878,
"eval_steps_per_second": 1.867,
"eval_weighted_fpr": 0.016782368403316036,
"eval_weighted_sensitivity": 0.8071262587141751,
"eval_weighted_specificity": 0.9751198790549438,
"step": 1286
},
{
"epoch": 2.33,
"learning_rate": 4.612493519958528e-05,
"loss": 0.6021,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8063516653756778,
"eval_f1_macro": 0.722931923188587,
"eval_f1_micro": 0.8063516653756778,
"eval_f1_weighted": 0.8013697737227732,
"eval_loss": 0.8442708253860474,
"eval_macro_fpr": 0.01757802934678216,
"eval_macro_sensitivity": 0.7262014539622089,
"eval_macro_specificity": 0.9852110484486459,
"eval_precision": 0.8016312862866737,
"eval_precision_macro": 0.7269969408457856,
"eval_recall": 0.8063516653756778,
"eval_recall_macro": 0.7262014539622089,
"eval_runtime": 89.8454,
"eval_samples_per_second": 14.369,
"eval_steps_per_second": 1.803,
"eval_weighted_fpr": 0.01686454398273071,
"eval_weighted_sensitivity": 0.8063516653756778,
"eval_weighted_specificity": 0.9718140613540133,
"step": 1929
},
{
"epoch": 3.11,
"learning_rate": 4.4828926905132196e-05,
"loss": 0.5435,
"step": 2000
},
{
"epoch": 3.89,
"learning_rate": 4.353551062726802e-05,
"loss": 0.4361,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8001549186676995,
"eval_f1_macro": 0.7051095861561788,
"eval_f1_micro": 0.8001549186676995,
"eval_f1_weighted": 0.7970808578587494,
"eval_loss": 0.8849796056747437,
"eval_macro_fpr": 0.017973543700983616,
"eval_macro_sensitivity": 0.704754303632947,
"eval_macro_specificity": 0.984883284344937,
"eval_precision": 0.8001040615771999,
"eval_precision_macro": 0.716655759638538,
"eval_recall": 0.8001549186676995,
"eval_recall_macro": 0.704754303632947,
"eval_runtime": 88.029,
"eval_samples_per_second": 14.666,
"eval_steps_per_second": 1.84,
"eval_weighted_fpr": 0.017527173913043478,
"eval_weighted_sensitivity": 0.8001549186676995,
"eval_weighted_specificity": 0.9730943465063553,
"step": 2572
},
{
"epoch": 4.67,
"learning_rate": 4.223950233281493e-05,
"loss": 0.3359,
"step": 3000
},
{
"epoch": 5.0,
"eval_accuracy": 0.801704105344694,
"eval_f1_macro": 0.6458763793901992,
"eval_f1_micro": 0.801704105344694,
"eval_f1_weighted": 0.7961730342415405,
"eval_loss": 1.126444935798645,
"eval_macro_fpr": 0.01805997413754306,
"eval_macro_sensitivity": 0.6681366041180199,
"eval_macro_specificity": 0.9849908327913178,
"eval_precision": 0.7981459541145973,
"eval_precision_macro": 0.6531140613829887,
"eval_recall": 0.801704105344694,
"eval_recall_macro": 0.6681366041180199,
"eval_runtime": 90.8127,
"eval_samples_per_second": 14.216,
"eval_steps_per_second": 1.784,
"eval_weighted_fpr": 0.0173606401736064,
"eval_weighted_sensitivity": 0.801704105344694,
"eval_weighted_specificity": 0.973158386525071,
"step": 3215
},
{
"epoch": 5.44,
"learning_rate": 4.0943494038361847e-05,
"loss": 0.2827,
"step": 3500
},
{
"epoch": 6.0,
"eval_accuracy": 0.7993803253292022,
"eval_f1_macro": 0.7042383323872946,
"eval_f1_micro": 0.7993803253292022,
"eval_f1_weighted": 0.7951558065494785,
"eval_loss": 1.1471006870269775,
"eval_macro_fpr": 0.01833120632003448,
"eval_macro_sensitivity": 0.692160115457962,
"eval_macro_specificity": 0.9845339432297603,
"eval_precision": 0.8091520232110664,
"eval_precision_macro": 0.7389074945114087,
"eval_recall": 0.7993803253292022,
"eval_recall_macro": 0.692160115457962,
"eval_runtime": 89.506,
"eval_samples_per_second": 14.424,
"eval_steps_per_second": 1.81,
"eval_weighted_fpr": 0.017610661589719183,
"eval_weighted_sensitivity": 0.7993803253292022,
"eval_weighted_specificity": 0.9686288231172028,
"step": 3858
},
{
"epoch": 6.22,
"learning_rate": 3.964748574390876e-05,
"loss": 0.2626,
"step": 4000
},
{
"epoch": 7.0,
"learning_rate": 3.835147744945568e-05,
"loss": 0.1945,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.814872192099148,
"eval_f1_macro": 0.7667275846579111,
"eval_f1_micro": 0.814872192099148,
"eval_f1_weighted": 0.812156980007075,
"eval_loss": 1.1841164827346802,
"eval_macro_fpr": 0.016569799909363286,
"eval_macro_sensitivity": 0.7598143558862378,
"eval_macro_specificity": 0.9859673331635007,
"eval_precision": 0.8128843369221012,
"eval_precision_macro": 0.7850186311075981,
"eval_recall": 0.814872192099148,
"eval_recall_macro": 0.7598143558862378,
"eval_runtime": 89.1729,
"eval_samples_per_second": 14.477,
"eval_steps_per_second": 1.817,
"eval_weighted_fpr": 0.015968463954032203,
"eval_weighted_sensitivity": 0.814872192099148,
"eval_weighted_specificity": 0.974637805353365,
"step": 4501
},
{
"epoch": 7.78,
"learning_rate": 3.705546915500259e-05,
"loss": 0.1286,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.8079008520526724,
"eval_f1_macro": 0.728267610383121,
"eval_f1_micro": 0.8079008520526724,
"eval_f1_weighted": 0.8067061599230408,
"eval_loss": 1.3231384754180908,
"eval_macro_fpr": 0.01714064720569306,
"eval_macro_sensitivity": 0.7216321376051643,
"eval_macro_specificity": 0.9855732952526467,
"eval_precision": 0.8105008603379217,
"eval_precision_macro": 0.763038482726323,
"eval_recall": 0.8079008520526724,
"eval_recall_macro": 0.7216321376051643,
"eval_runtime": 93.4716,
"eval_samples_per_second": 13.812,
"eval_steps_per_second": 1.733,
"eval_weighted_fpr": 0.0167003367003367,
"eval_weighted_sensitivity": 0.8079008520526724,
"eval_weighted_specificity": 0.9756985767370285,
"step": 5144
},
{
"epoch": 8.55,
"learning_rate": 3.576205287713841e-05,
"loss": 0.1304,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8102246320681642,
"eval_f1_macro": 0.7569552546114842,
"eval_f1_micro": 0.8102246320681642,
"eval_f1_weighted": 0.808840893500485,
"eval_loss": 1.3869109153747559,
"eval_macro_fpr": 0.017055465242864547,
"eval_macro_sensitivity": 0.7602881393177737,
"eval_macro_specificity": 0.9856184320870693,
"eval_precision": 0.811846243162855,
"eval_precision_macro": 0.7704913288832418,
"eval_recall": 0.8102246320681642,
"eval_recall_macro": 0.7602881393177737,
"eval_runtime": 88.7368,
"eval_samples_per_second": 14.549,
"eval_steps_per_second": 1.826,
"eval_weighted_fpr": 0.016455101081335213,
"eval_weighted_sensitivity": 0.8102246320681642,
"eval_weighted_specificity": 0.9740518492378762,
"step": 5787
}
],
"logging_steps": 500,
"max_steps": 19290,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 1.3174854015117312e+16,
"trial_name": null,
"trial_params": null
}
|