File size: 13,659 Bytes
fd78e70 |
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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380 381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400 401 402 |
{
"best_metric": 0.795502896227358,
"best_model_checkpoint": "bart-large-lora-no-grad/checkpoint-6430",
"epoch": 13.0,
"eval_steps": 500,
"global_step": 8359,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"learning_rate": 4.740798341109383e-05,
"loss": 1.3548,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7567776917118513,
"eval_f1_macro": 0.43635159996281114,
"eval_f1_micro": 0.7567776917118513,
"eval_f1_weighted": 0.735942387508421,
"eval_loss": 0.7811183333396912,
"eval_macro_fpr": 0.023397002359423266,
"eval_macro_sensitivity": 0.4733929701344221,
"eval_macro_specificity": 0.98166320866911,
"eval_precision": 0.7272429944970519,
"eval_precision_macro": 0.4205947342353388,
"eval_recall": 0.7567776917118513,
"eval_recall_macro": 0.4733929701344221,
"eval_runtime": 124.629,
"eval_samples_per_second": 10.359,
"eval_steps_per_second": 1.3,
"eval_weighted_fpr": 0.022441395082904516,
"eval_weighted_sensitivity": 0.7567776917118513,
"eval_weighted_specificity": 0.9681704383248004,
"step": 643
},
{
"epoch": 1.56,
"learning_rate": 4.481596682218767e-05,
"loss": 0.7738,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.7893106119287374,
"eval_f1_macro": 0.561796090533545,
"eval_f1_micro": 0.7893106119287374,
"eval_f1_weighted": 0.7783408570207113,
"eval_loss": 0.657169759273529,
"eval_macro_fpr": 0.019577279999420293,
"eval_macro_sensitivity": 0.5639220943833532,
"eval_macro_specificity": 0.9841641947022086,
"eval_precision": 0.7847538302510335,
"eval_precision_macro": 0.652919812505265,
"eval_recall": 0.7893106119287374,
"eval_recall_macro": 0.5639220943833532,
"eval_runtime": 120.3505,
"eval_samples_per_second": 10.727,
"eval_steps_per_second": 1.346,
"eval_weighted_fpr": 0.018709588664190396,
"eval_weighted_sensitivity": 0.7893106119287374,
"eval_weighted_specificity": 0.9731523086043933,
"step": 1286
},
{
"epoch": 2.33,
"learning_rate": 4.22239502332815e-05,
"loss": 0.6874,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8009295120061968,
"eval_f1_macro": 0.6248193338597906,
"eval_f1_micro": 0.8009295120061968,
"eval_f1_weighted": 0.7948048170690496,
"eval_loss": 0.6484545469284058,
"eval_macro_fpr": 0.01794652035398996,
"eval_macro_sensitivity": 0.6498133528886191,
"eval_macro_specificity": 0.985178423920643,
"eval_precision": 0.7993513486718621,
"eval_precision_macro": 0.622395994467453,
"eval_recall": 0.8009295120061968,
"eval_recall_macro": 0.6498133528886191,
"eval_runtime": 122.1243,
"eval_samples_per_second": 10.571,
"eval_steps_per_second": 1.327,
"eval_weighted_fpr": 0.017443833570895267,
"eval_weighted_sensitivity": 0.8009295120061968,
"eval_weighted_specificity": 0.9767468468034478,
"step": 1929
},
{
"epoch": 3.11,
"learning_rate": 3.963193364437533e-05,
"loss": 0.5681,
"step": 2000
},
{
"epoch": 3.89,
"learning_rate": 3.7039917055469156e-05,
"loss": 0.502,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.82571649883811,
"eval_f1_macro": 0.7392877210524833,
"eval_f1_micro": 0.82571649883811,
"eval_f1_weighted": 0.818185291800718,
"eval_loss": 0.6912310123443604,
"eval_macro_fpr": 0.015790725498781473,
"eval_macro_sensitivity": 0.73988416100595,
"eval_macro_specificity": 0.9866316247243733,
"eval_precision": 0.8216256605414862,
"eval_precision_macro": 0.7660625024843042,
"eval_recall": 0.82571649883811,
"eval_recall_macro": 0.73988416100595,
"eval_runtime": 122.0618,
"eval_samples_per_second": 10.577,
"eval_steps_per_second": 1.327,
"eval_weighted_fpr": 0.01485246550927454,
"eval_weighted_sensitivity": 0.82571649883811,
"eval_weighted_specificity": 0.9737578720274908,
"step": 2572
},
{
"epoch": 4.67,
"learning_rate": 3.4447900466562985e-05,
"loss": 0.4443,
"step": 3000
},
{
"epoch": 5.0,
"eval_accuracy": 0.8350116189000775,
"eval_f1_macro": 0.7352088783341215,
"eval_f1_micro": 0.8350116189000775,
"eval_f1_weighted": 0.8307677449867239,
"eval_loss": 0.6655119061470032,
"eval_macro_fpr": 0.014583446099727526,
"eval_macro_sensitivity": 0.7343745083798942,
"eval_macro_specificity": 0.9875414771562052,
"eval_precision": 0.8323934212037492,
"eval_precision_macro": 0.758378992160777,
"eval_recall": 0.8350116189000775,
"eval_recall_macro": 0.7343745083798942,
"eval_runtime": 120.1795,
"eval_samples_per_second": 10.742,
"eval_steps_per_second": 1.348,
"eval_weighted_fpr": 0.01391702058150931,
"eval_weighted_sensitivity": 0.8350116189000775,
"eval_weighted_specificity": 0.9781105384430038,
"step": 3215
},
{
"epoch": 5.44,
"learning_rate": 3.1855883877656815e-05,
"loss": 0.3903,
"step": 3500
},
{
"epoch": 6.0,
"eval_accuracy": 0.8303640588690937,
"eval_f1_macro": 0.736263969384508,
"eval_f1_micro": 0.8303640588690937,
"eval_f1_weighted": 0.8261070082134288,
"eval_loss": 0.726949155330658,
"eval_macro_fpr": 0.014900057218914428,
"eval_macro_sensitivity": 0.7407242112615964,
"eval_macro_specificity": 0.9872832145506228,
"eval_precision": 0.8287989539787939,
"eval_precision_macro": 0.7499597491218987,
"eval_recall": 0.8303640588690937,
"eval_recall_macro": 0.7407242112615964,
"eval_runtime": 120.7099,
"eval_samples_per_second": 10.695,
"eval_steps_per_second": 1.342,
"eval_weighted_fpr": 0.014382347146516056,
"eval_weighted_sensitivity": 0.8303640588690937,
"eval_weighted_specificity": 0.9788841593902511,
"step": 3858
},
{
"epoch": 6.22,
"learning_rate": 2.926386728875065e-05,
"loss": 0.3743,
"step": 4000
},
{
"epoch": 7.0,
"learning_rate": 2.667185069984448e-05,
"loss": 0.3398,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.8218435321456236,
"eval_f1_macro": 0.7882567275864875,
"eval_f1_micro": 0.8218435321456236,
"eval_f1_weighted": 0.8162748016732313,
"eval_loss": 0.829186737537384,
"eval_macro_fpr": 0.016070845836262844,
"eval_macro_sensitivity": 0.7793235818327271,
"eval_macro_specificity": 0.9864727684547862,
"eval_precision": 0.8263611114608566,
"eval_precision_macro": 0.8274174343984327,
"eval_recall": 0.8218435321456236,
"eval_recall_macro": 0.7793235818327271,
"eval_runtime": 119.848,
"eval_samples_per_second": 10.772,
"eval_steps_per_second": 1.352,
"eval_weighted_fpr": 0.015247944842216919,
"eval_weighted_sensitivity": 0.8218435321456236,
"eval_weighted_specificity": 0.9752479946761673,
"step": 4501
},
{
"epoch": 7.78,
"learning_rate": 2.4079834110938313e-05,
"loss": 0.2818,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.8218435321456236,
"eval_f1_macro": 0.7744326737338487,
"eval_f1_micro": 0.8218435321456236,
"eval_f1_weighted": 0.8177676452978514,
"eval_loss": 0.8360002636909485,
"eval_macro_fpr": 0.01589244410642333,
"eval_macro_sensitivity": 0.7683164398564319,
"eval_macro_specificity": 0.9865675690380454,
"eval_precision": 0.8240487291965984,
"eval_precision_macro": 0.825060922986609,
"eval_recall": 0.8218435321456236,
"eval_recall_macro": 0.7683164398564319,
"eval_runtime": 123.4163,
"eval_samples_per_second": 10.461,
"eval_steps_per_second": 1.313,
"eval_weighted_fpr": 0.015247944842216919,
"eval_weighted_sensitivity": 0.8218435321456236,
"eval_weighted_specificity": 0.9766700034250598,
"step": 5144
},
{
"epoch": 8.55,
"learning_rate": 2.1487817522032143e-05,
"loss": 0.2572,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8342370255615802,
"eval_f1_macro": 0.7768090432684004,
"eval_f1_micro": 0.8342370255615802,
"eval_f1_weighted": 0.8310260455971183,
"eval_loss": 0.8456389307975769,
"eval_macro_fpr": 0.01456791962898876,
"eval_macro_sensitivity": 0.7734627441481091,
"eval_macro_specificity": 0.9875312890043432,
"eval_precision": 0.8327945369398388,
"eval_precision_macro": 0.7998951264485316,
"eval_recall": 0.8342370255615802,
"eval_recall_macro": 0.7734627441481091,
"eval_runtime": 120.0533,
"eval_samples_per_second": 10.754,
"eval_steps_per_second": 1.349,
"eval_weighted_fpr": 0.013994245357049438,
"eval_weighted_sensitivity": 0.8342370255615802,
"eval_weighted_specificity": 0.9787323095035695,
"step": 5787
},
{
"epoch": 9.33,
"learning_rate": 1.8895800933125972e-05,
"loss": 0.2594,
"step": 6000
},
{
"epoch": 10.0,
"eval_accuracy": 0.8427575522850503,
"eval_f1_macro": 0.795502896227358,
"eval_f1_micro": 0.8427575522850503,
"eval_f1_weighted": 0.8396375162639065,
"eval_loss": 0.8724260330200195,
"eval_macro_fpr": 0.013766722680775369,
"eval_macro_sensitivity": 0.7891074945707898,
"eval_macro_specificity": 0.9881183812925798,
"eval_precision": 0.8413820891455371,
"eval_precision_macro": 0.8148953238440463,
"eval_recall": 0.8427575522850503,
"eval_recall_macro": 0.7891074945707898,
"eval_runtime": 119.6356,
"eval_samples_per_second": 10.791,
"eval_steps_per_second": 1.354,
"eval_weighted_fpr": 0.013151927437641724,
"eval_weighted_sensitivity": 0.8427575522850503,
"eval_weighted_specificity": 0.9790181671036463,
"step": 6430
},
{
"epoch": 10.11,
"learning_rate": 1.6303784344219805e-05,
"loss": 0.2153,
"step": 6500
},
{
"epoch": 10.89,
"learning_rate": 1.3711767755313634e-05,
"loss": 0.208,
"step": 7000
},
{
"epoch": 11.0,
"eval_accuracy": 0.8334624322230829,
"eval_f1_macro": 0.7895515734453048,
"eval_f1_micro": 0.8334624322230829,
"eval_f1_weighted": 0.8303158036378269,
"eval_loss": 0.9796690344810486,
"eval_macro_fpr": 0.014753388259582178,
"eval_macro_sensitivity": 0.7870475284894203,
"eval_macro_specificity": 0.9873905155176995,
"eval_precision": 0.8338668399894285,
"eval_precision_macro": 0.8091590417434905,
"eval_recall": 0.8334624322230829,
"eval_recall_macro": 0.7870475284894203,
"eval_runtime": 119.9422,
"eval_samples_per_second": 10.764,
"eval_steps_per_second": 1.351,
"eval_weighted_fpr": 0.014071601544603704,
"eval_weighted_sensitivity": 0.8334624322230829,
"eval_weighted_specificity": 0.9773953005424101,
"step": 7073
},
{
"epoch": 11.66,
"learning_rate": 1.1119751166407467e-05,
"loss": 0.1786,
"step": 7500
},
{
"epoch": 12.0,
"eval_accuracy": 0.831138652207591,
"eval_f1_macro": 0.7905849180042664,
"eval_f1_micro": 0.831138652207591,
"eval_f1_weighted": 0.8284950021839428,
"eval_loss": 1.0179502964019775,
"eval_macro_fpr": 0.01494857608736981,
"eval_macro_sensitivity": 0.7846151987719904,
"eval_macro_specificity": 0.9872559315686845,
"eval_precision": 0.8322514865790583,
"eval_precision_macro": 0.8100139250662323,
"eval_recall": 0.831138652207591,
"eval_recall_macro": 0.7846151987719904,
"eval_runtime": 119.6935,
"eval_samples_per_second": 10.786,
"eval_steps_per_second": 1.353,
"eval_weighted_fpr": 0.014304461942257218,
"eval_weighted_sensitivity": 0.831138652207591,
"eval_weighted_specificity": 0.9777003213226763,
"step": 7716
},
{
"epoch": 12.44,
"learning_rate": 8.527734577501296e-06,
"loss": 0.1556,
"step": 8000
},
{
"epoch": 13.0,
"eval_accuracy": 0.8357862122385747,
"eval_f1_macro": 0.7875503763245594,
"eval_f1_micro": 0.8357862122385747,
"eval_f1_weighted": 0.8320589980738987,
"eval_loss": 1.0391594171524048,
"eval_macro_fpr": 0.014563642100693433,
"eval_macro_sensitivity": 0.7830289699589857,
"eval_macro_specificity": 0.9875378832054152,
"eval_precision": 0.8335181879831169,
"eval_precision_macro": 0.8039974798947122,
"eval_recall": 0.8357862122385747,
"eval_recall_macro": 0.7830289699589857,
"eval_runtime": 120.862,
"eval_samples_per_second": 10.682,
"eval_steps_per_second": 1.34,
"eval_weighted_fpr": 0.013839926883405145,
"eval_weighted_sensitivity": 0.8357862122385747,
"eval_weighted_specificity": 0.9772820358426519,
"step": 8359
}
],
"logging_steps": 500,
"max_steps": 9645,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 7.437850857000346e+16,
"trial_name": null,
"trial_params": null
}
|