File size: 12,666 Bytes
f9a30ed |
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 |
{
"best_metric": 0.767473750579757,
"best_model_checkpoint": "legal-bert-lora-no-grad/checkpoint-7073",
"epoch": 12.0,
"eval_steps": 500,
"global_step": 7716,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.78,
"learning_rate": 4.870399170554692e-05,
"loss": 1.5473,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7172734314484895,
"eval_f1_macro": 0.3920432121625908,
"eval_f1_micro": 0.7172734314484894,
"eval_f1_weighted": 0.6868869808248764,
"eval_loss": 0.8484711050987244,
"eval_macro_fpr": 0.027836504093424867,
"eval_macro_sensitivity": 0.44215864388540455,
"eval_macro_specificity": 0.9788744549045134,
"eval_precision": 0.6896842532804647,
"eval_precision_macro": 0.3892290687521846,
"eval_recall": 0.7172734314484895,
"eval_recall_macro": 0.44215864388540455,
"eval_runtime": 32.4222,
"eval_samples_per_second": 39.818,
"eval_steps_per_second": 4.997,
"eval_weighted_fpr": 0.027383899767424412,
"eval_weighted_sensitivity": 0.7172734314484895,
"eval_weighted_specificity": 0.9658433921192108,
"step": 643
},
{
"epoch": 1.56,
"learning_rate": 4.740798341109383e-05,
"loss": 0.7816,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.7544539116963594,
"eval_f1_macro": 0.47513531679703136,
"eval_f1_micro": 0.7544539116963594,
"eval_f1_weighted": 0.7304002619527014,
"eval_loss": 0.7113391757011414,
"eval_macro_fpr": 0.023051270843305598,
"eval_macro_sensitivity": 0.5054156753128263,
"eval_macro_specificity": 0.9817050378554314,
"eval_precision": 0.7491876907285084,
"eval_precision_macro": 0.5281699878111706,
"eval_recall": 0.7544539116963594,
"eval_recall_macro": 0.5054156753128263,
"eval_runtime": 33.6622,
"eval_samples_per_second": 38.352,
"eval_steps_per_second": 4.813,
"eval_weighted_fpr": 0.02271912850283093,
"eval_weighted_sensitivity": 0.7544539116963594,
"eval_weighted_specificity": 0.9711216561351127,
"step": 1286
},
{
"epoch": 2.33,
"learning_rate": 4.6111975116640746e-05,
"loss": 0.6956,
"step": 1500
},
{
"epoch": 3.0,
"eval_accuracy": 0.7986057319907048,
"eval_f1_macro": 0.5439483491438576,
"eval_f1_micro": 0.7986057319907048,
"eval_f1_weighted": 0.7833451448204543,
"eval_loss": 0.6460158824920654,
"eval_macro_fpr": 0.01844352926124183,
"eval_macro_sensitivity": 0.5700868724489073,
"eval_macro_specificity": 0.9848453217277398,
"eval_precision": 0.7793241511142787,
"eval_precision_macro": 0.5435553848320287,
"eval_recall": 0.7986057319907048,
"eval_recall_macro": 0.5700868724489073,
"eval_runtime": 33.205,
"eval_samples_per_second": 38.88,
"eval_steps_per_second": 4.879,
"eval_weighted_fpr": 0.01769429699196951,
"eval_weighted_sensitivity": 0.7986057319907048,
"eval_weighted_specificity": 0.974074093925392,
"step": 1929
},
{
"epoch": 3.11,
"learning_rate": 4.481596682218767e-05,
"loss": 0.6117,
"step": 2000
},
{
"epoch": 3.89,
"learning_rate": 4.3519958527734576e-05,
"loss": 0.4942,
"step": 2500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8109992254066615,
"eval_f1_macro": 0.641318903734146,
"eval_f1_micro": 0.8109992254066615,
"eval_f1_weighted": 0.8036671817127167,
"eval_loss": 0.6429558992385864,
"eval_macro_fpr": 0.016902452669854486,
"eval_macro_sensitivity": 0.6670193163886222,
"eval_macro_specificity": 0.9858199536379567,
"eval_precision": 0.8014184747492699,
"eval_precision_macro": 0.6315294283267076,
"eval_recall": 0.8109992254066615,
"eval_recall_macro": 0.6670193163886222,
"eval_runtime": 34.2851,
"eval_samples_per_second": 37.655,
"eval_steps_per_second": 4.725,
"eval_weighted_fpr": 0.016373641121997046,
"eval_weighted_sensitivity": 0.8109992254066615,
"eval_weighted_specificity": 0.9763000791626885,
"step": 2572
},
{
"epoch": 4.67,
"learning_rate": 4.22239502332815e-05,
"loss": 0.4088,
"step": 3000
},
{
"epoch": 5.0,
"eval_accuracy": 0.8319132455460883,
"eval_f1_macro": 0.7458887908906745,
"eval_f1_micro": 0.8319132455460883,
"eval_f1_weighted": 0.8254435175521364,
"eval_loss": 0.7148057222366333,
"eval_macro_fpr": 0.015014171873602745,
"eval_macro_sensitivity": 0.7444010739541649,
"eval_macro_specificity": 0.9871775908314393,
"eval_precision": 0.8301095647411415,
"eval_precision_macro": 0.795128331887366,
"eval_recall": 0.8319132455460883,
"eval_recall_macro": 0.7444010739541649,
"eval_runtime": 32.6496,
"eval_samples_per_second": 39.541,
"eval_steps_per_second": 4.962,
"eval_weighted_fpr": 0.014226709499770536,
"eval_weighted_sensitivity": 0.8319132455460883,
"eval_weighted_specificity": 0.9757506169255016,
"step": 3215
},
{
"epoch": 5.44,
"learning_rate": 4.092794193882841e-05,
"loss": 0.3722,
"step": 3500
},
{
"epoch": 6.0,
"eval_accuracy": 0.8319132455460883,
"eval_f1_macro": 0.7581556537237687,
"eval_f1_micro": 0.8319132455460883,
"eval_f1_weighted": 0.8284954274383471,
"eval_loss": 0.7203006744384766,
"eval_macro_fpr": 0.014862611036154928,
"eval_macro_sensitivity": 0.7604143289637364,
"eval_macro_specificity": 0.9873237068761225,
"eval_precision": 0.8282196199964869,
"eval_precision_macro": 0.7594204389852343,
"eval_recall": 0.8319132455460883,
"eval_recall_macro": 0.7604143289637364,
"eval_runtime": 32.5293,
"eval_samples_per_second": 39.687,
"eval_steps_per_second": 4.98,
"eval_weighted_fpr": 0.014226709499770536,
"eval_weighted_sensitivity": 0.8319132455460883,
"eval_weighted_specificity": 0.9779423575957491,
"step": 3858
},
{
"epoch": 6.22,
"learning_rate": 3.963193364437533e-05,
"loss": 0.3518,
"step": 4000
},
{
"epoch": 7.0,
"learning_rate": 3.833592534992224e-05,
"loss": 0.3088,
"step": 4500
},
{
"epoch": 7.0,
"eval_accuracy": 0.8218435321456236,
"eval_f1_macro": 0.748587043102148,
"eval_f1_micro": 0.8218435321456236,
"eval_f1_weighted": 0.8202672850983224,
"eval_loss": 0.7796419858932495,
"eval_macro_fpr": 0.015766934174909337,
"eval_macro_sensitivity": 0.7436163865406156,
"eval_macro_specificity": 0.986554823310482,
"eval_precision": 0.8283195435686048,
"eval_precision_macro": 0.7927343403715958,
"eval_recall": 0.8218435321456236,
"eval_recall_macro": 0.7436163865406156,
"eval_runtime": 33.9886,
"eval_samples_per_second": 37.983,
"eval_steps_per_second": 4.766,
"eval_weighted_fpr": 0.015247944842216919,
"eval_weighted_sensitivity": 0.8218435321456236,
"eval_weighted_specificity": 0.9764788175116066,
"step": 4501
},
{
"epoch": 7.78,
"learning_rate": 3.7039917055469156e-05,
"loss": 0.245,
"step": 5000
},
{
"epoch": 8.0,
"eval_accuracy": 0.8187451587916343,
"eval_f1_macro": 0.7408588571905798,
"eval_f1_micro": 0.8187451587916342,
"eval_f1_weighted": 0.8134714190372911,
"eval_loss": 0.8731526136398315,
"eval_macro_fpr": 0.016323302917471562,
"eval_macro_sensitivity": 0.7403464639779053,
"eval_macro_specificity": 0.98626453049897,
"eval_precision": 0.8170725248278505,
"eval_precision_macro": 0.7696333486311014,
"eval_recall": 0.8187451587916343,
"eval_recall_macro": 0.7403464639779053,
"eval_runtime": 32.6647,
"eval_samples_per_second": 39.523,
"eval_steps_per_second": 4.959,
"eval_weighted_fpr": 0.015566790846194785,
"eval_weighted_sensitivity": 0.8187451587916343,
"eval_weighted_specificity": 0.9752227986929156,
"step": 5144
},
{
"epoch": 8.55,
"learning_rate": 3.574390876101607e-05,
"loss": 0.2331,
"step": 5500
},
{
"epoch": 9.0,
"eval_accuracy": 0.8264910921766073,
"eval_f1_macro": 0.753016641591601,
"eval_f1_micro": 0.8264910921766073,
"eval_f1_weighted": 0.8260538424611459,
"eval_loss": 0.871034562587738,
"eval_macro_fpr": 0.015223198880351374,
"eval_macro_sensitivity": 0.7521384355359189,
"eval_macro_specificity": 0.9869379376488985,
"eval_precision": 0.8280339150697505,
"eval_precision_macro": 0.7595158765535532,
"eval_recall": 0.8264910921766073,
"eval_recall_macro": 0.7521384355359189,
"eval_runtime": 32.6231,
"eval_samples_per_second": 39.573,
"eval_steps_per_second": 4.966,
"eval_weighted_fpr": 0.014773776546629732,
"eval_weighted_sensitivity": 0.8264910921766073,
"eval_weighted_specificity": 0.9775779725568708,
"step": 5787
},
{
"epoch": 9.33,
"learning_rate": 3.4447900466562985e-05,
"loss": 0.1878,
"step": 6000
},
{
"epoch": 10.0,
"eval_accuracy": 0.82571649883811,
"eval_f1_macro": 0.7588436992559459,
"eval_f1_micro": 0.82571649883811,
"eval_f1_weighted": 0.8239752092365729,
"eval_loss": 0.9866135120391846,
"eval_macro_fpr": 0.015306627243977184,
"eval_macro_sensitivity": 0.7603889662202937,
"eval_macro_specificity": 0.9869690054538824,
"eval_precision": 0.8260731585047043,
"eval_precision_macro": 0.7672111037553849,
"eval_recall": 0.82571649883811,
"eval_recall_macro": 0.7603889662202937,
"eval_runtime": 33.5564,
"eval_samples_per_second": 38.473,
"eval_steps_per_second": 4.828,
"eval_weighted_fpr": 0.01485246550927454,
"eval_weighted_sensitivity": 0.82571649883811,
"eval_weighted_specificity": 0.9788185829701274,
"step": 6430
},
{
"epoch": 10.11,
"learning_rate": 3.315189217210991e-05,
"loss": 0.1934,
"step": 6500
},
{
"epoch": 10.89,
"learning_rate": 3.1855883877656815e-05,
"loss": 0.1627,
"step": 7000
},
{
"epoch": 11.0,
"eval_accuracy": 0.82571649883811,
"eval_f1_macro": 0.767473750579757,
"eval_f1_micro": 0.82571649883811,
"eval_f1_weighted": 0.8233713451484083,
"eval_loss": 1.0529617071151733,
"eval_macro_fpr": 0.015351918387195561,
"eval_macro_sensitivity": 0.7711152769110098,
"eval_macro_specificity": 0.9869581108070966,
"eval_precision": 0.8268711216555169,
"eval_precision_macro": 0.7706107626580333,
"eval_recall": 0.82571649883811,
"eval_recall_macro": 0.7711152769110098,
"eval_runtime": 32.7851,
"eval_samples_per_second": 39.378,
"eval_steps_per_second": 4.941,
"eval_weighted_fpr": 0.01485246550927454,
"eval_weighted_sensitivity": 0.82571649883811,
"eval_weighted_specificity": 0.9786551632683399,
"step": 7073
},
{
"epoch": 11.66,
"learning_rate": 3.0559875583203736e-05,
"loss": 0.1301,
"step": 7500
},
{
"epoch": 12.0,
"eval_accuracy": 0.8264910921766073,
"eval_f1_macro": 0.7575609282906195,
"eval_f1_micro": 0.8264910921766073,
"eval_f1_weighted": 0.8227831044737154,
"eval_loss": 1.1041574478149414,
"eval_macro_fpr": 0.015507747324292978,
"eval_macro_sensitivity": 0.7586841377838723,
"eval_macro_specificity": 0.986855053135477,
"eval_precision": 0.8246142974152224,
"eval_precision_macro": 0.7633072608154402,
"eval_recall": 0.8264910921766073,
"eval_recall_macro": 0.7586841377838723,
"eval_runtime": 33.2755,
"eval_samples_per_second": 38.797,
"eval_steps_per_second": 4.868,
"eval_weighted_fpr": 0.014773776546629732,
"eval_weighted_sensitivity": 0.8264910921766073,
"eval_weighted_specificity": 0.9763347048555474,
"step": 7716
}
],
"logging_steps": 500,
"max_steps": 19290,
"num_train_epochs": 30,
"save_steps": 500,
"total_flos": 1.6733834608361472e+16,
"trial_name": null,
"trial_params": null
}
|