File size: 7,803 Bytes
1e49772 |
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 |
{
"best_metric": 0.08749764412641525,
"best_model_checkpoint": "/data/jcanete/all_results/pos/albeto_tiny/epochs_4_bs_16_lr_5e-5/checkpoint-1600",
"epoch": 4.0,
"global_step": 3580,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.22,
"eval_accuracy": 0.9538808220802765,
"eval_f1": 0.9490697836636672,
"eval_loss": 0.17476704716682434,
"eval_precision": 0.9467019204007793,
"eval_recall": 0.9514495214880822,
"eval_runtime": 1.5406,
"eval_samples_per_second": 1073.605,
"eval_steps_per_second": 67.506,
"step": 200
},
{
"epoch": 0.45,
"eval_accuracy": 0.9654529743650565,
"eval_f1": 0.9616131828280513,
"eval_loss": 0.125724658370018,
"eval_precision": 0.9590238861730456,
"eval_recall": 0.9642164991708457,
"eval_runtime": 1.5211,
"eval_samples_per_second": 1087.347,
"eval_steps_per_second": 68.37,
"step": 400
},
{
"epoch": 0.56,
"learning_rate": 4.303072625698324e-05,
"loss": 0.3133,
"step": 500
},
{
"epoch": 0.67,
"eval_accuracy": 0.9684688500703139,
"eval_f1": 0.9654409345999343,
"eval_loss": 0.1092953085899353,
"eval_precision": 0.9633379749353491,
"eval_recall": 0.9675530958422409,
"eval_runtime": 1.5243,
"eval_samples_per_second": 1085.096,
"eval_steps_per_second": 68.229,
"step": 600
},
{
"epoch": 0.89,
"eval_accuracy": 0.9705189678250115,
"eval_f1": 0.9675733365251304,
"eval_loss": 0.09988456219434738,
"eval_precision": 0.9660797514241326,
"eval_recall": 0.9690715470220376,
"eval_runtime": 1.5122,
"eval_samples_per_second": 1093.787,
"eval_steps_per_second": 68.775,
"step": 800
},
{
"epoch": 1.12,
"learning_rate": 3.604748603351956e-05,
"loss": 0.0983,
"step": 1000
},
{
"epoch": 1.12,
"eval_accuracy": 0.9718066450924248,
"eval_f1": 0.9694776714513557,
"eval_loss": 0.09871890395879745,
"eval_precision": 0.9673755197039925,
"eval_recall": 0.971588979241174,
"eval_runtime": 1.5084,
"eval_samples_per_second": 1096.509,
"eval_steps_per_second": 68.946,
"step": 1000
},
{
"epoch": 1.34,
"eval_accuracy": 0.9728401755307433,
"eval_f1": 0.9709789372905697,
"eval_loss": 0.09597848355770111,
"eval_precision": 0.9693355369267836,
"eval_recall": 0.9726279195220875,
"eval_runtime": 1.4942,
"eval_samples_per_second": 1106.933,
"eval_steps_per_second": 69.602,
"step": 1200
},
{
"epoch": 1.56,
"eval_accuracy": 0.9736026160180274,
"eval_f1": 0.9714610733031314,
"eval_loss": 0.09189929813146591,
"eval_precision": 0.9703765723740606,
"eval_recall": 0.9725480010389402,
"eval_runtime": 1.5177,
"eval_samples_per_second": 1089.787,
"eval_steps_per_second": 68.523,
"step": 1400
},
{
"epoch": 1.68,
"learning_rate": 2.9064245810055868e-05,
"loss": 0.0695,
"step": 1500
},
{
"epoch": 1.79,
"eval_accuracy": 0.9747039189441047,
"eval_f1": 0.9728139460666986,
"eval_loss": 0.08749764412641525,
"eval_precision": 0.9711674399155732,
"eval_recall": 0.9744660446344728,
"eval_runtime": 1.5082,
"eval_samples_per_second": 1096.655,
"eval_steps_per_second": 68.955,
"step": 1600
},
{
"epoch": 2.01,
"eval_accuracy": 0.974975008895139,
"eval_f1": 0.9729659656365613,
"eval_loss": 0.08767995983362198,
"eval_precision": 0.9712323312761298,
"eval_recall": 0.9747058000839144,
"eval_runtime": 1.4537,
"eval_samples_per_second": 1137.75,
"eval_steps_per_second": 71.539,
"step": 1800
},
{
"epoch": 2.23,
"learning_rate": 2.2094972067039108e-05,
"loss": 0.0597,
"step": 2000
},
{
"epoch": 2.23,
"eval_accuracy": 0.974636146456346,
"eval_f1": 0.9728004468426774,
"eval_loss": 0.08931880444288254,
"eval_precision": 0.9712794773741237,
"eval_recall": 0.9743261872889653,
"eval_runtime": 1.4451,
"eval_samples_per_second": 1144.553,
"eval_steps_per_second": 71.967,
"step": 2000
},
{
"epoch": 2.46,
"eval_accuracy": 0.975025838260958,
"eval_f1": 0.9732900972811175,
"eval_loss": 0.0905543640255928,
"eval_precision": 0.9720971020847451,
"eval_recall": 0.9744860242552597,
"eval_runtime": 1.4435,
"eval_samples_per_second": 1145.863,
"eval_steps_per_second": 72.049,
"step": 2200
},
{
"epoch": 2.68,
"eval_accuracy": 0.9755510750410871,
"eval_f1": 0.9741129056392965,
"eval_loss": 0.09149234741926193,
"eval_precision": 0.9727446605036659,
"eval_recall": 0.9754850052945995,
"eval_runtime": 1.4454,
"eval_samples_per_second": 1144.307,
"eval_steps_per_second": 71.952,
"step": 2400
},
{
"epoch": 2.79,
"learning_rate": 1.511173184357542e-05,
"loss": 0.0458,
"step": 2500
},
{
"epoch": 2.91,
"eval_accuracy": 0.9755171887972077,
"eval_f1": 0.9740555211846648,
"eval_loss": 0.08821560442447662,
"eval_precision": 0.9729681239160337,
"eval_recall": 0.975145351741224,
"eval_runtime": 1.4692,
"eval_samples_per_second": 1125.788,
"eval_steps_per_second": 70.787,
"step": 2600
},
{
"epoch": 3.13,
"eval_accuracy": 0.9757374493824232,
"eval_f1": 0.9740832369019593,
"eval_loss": 0.09264585375785828,
"eval_precision": 0.9727053573207419,
"eval_recall": 0.9754650256738127,
"eval_runtime": 1.4438,
"eval_samples_per_second": 1145.593,
"eval_steps_per_second": 72.032,
"step": 2800
},
{
"epoch": 3.35,
"learning_rate": 8.128491620111732e-06,
"loss": 0.0383,
"step": 3000
},
{
"epoch": 3.35,
"eval_accuracy": 0.9753985869436302,
"eval_f1": 0.973785013167345,
"eval_loss": 0.093608058989048,
"eval_precision": 0.9723688666653386,
"eval_recall": 0.9752052906035843,
"eval_runtime": 1.444,
"eval_samples_per_second": 1145.395,
"eval_steps_per_second": 72.02,
"step": 3000
},
{
"epoch": 3.58,
"eval_accuracy": 0.9756357906507853,
"eval_f1": 0.974050980196538,
"eval_loss": 0.09429396688938141,
"eval_precision": 0.9727602423083055,
"eval_recall": 0.9753451479490919,
"eval_runtime": 1.4392,
"eval_samples_per_second": 1149.213,
"eval_steps_per_second": 72.26,
"step": 3200
},
{
"epoch": 3.8,
"eval_accuracy": 0.9750936107487166,
"eval_f1": 0.9735209019255712,
"eval_loss": 0.09423112124204636,
"eval_precision": 0.9722792403196556,
"eval_recall": 0.9747657389462748,
"eval_runtime": 1.4459,
"eval_samples_per_second": 1143.936,
"eval_steps_per_second": 71.928,
"step": 3400
},
{
"epoch": 3.91,
"learning_rate": 1.1452513966480447e-06,
"loss": 0.0344,
"step": 3500
},
{
"epoch": 4.0,
"step": 3580,
"total_flos": 32358086511744.0,
"train_loss": 0.09274842659188383,
"train_runtime": 230.8308,
"train_samples_per_second": 247.887,
"train_steps_per_second": 15.509
}
],
"max_steps": 3580,
"num_train_epochs": 4,
"total_flos": 32358086511744.0,
"trial_name": null,
"trial_params": null
}
|