File size: 6,376 Bytes
d683b35 |
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 |
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 15.0,
"eval_steps": 500,
"global_step": 1875,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.7046678635547576,
"eval_f1": 0.0,
"eval_loss": 2.1335229873657227,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 0.4061,
"eval_samples_per_second": 246.215,
"eval_steps_per_second": 32.008,
"step": 125
},
{
"epoch": 2.0,
"eval_accuracy": 0.7522441651705566,
"eval_f1": 0.14012738853503184,
"eval_loss": 2.0110883712768555,
"eval_precision": 0.55,
"eval_recall": 0.08029197080291971,
"eval_runtime": 0.3251,
"eval_samples_per_second": 307.591,
"eval_steps_per_second": 39.987,
"step": 250
},
{
"epoch": 3.0,
"eval_accuracy": 0.7630161579892281,
"eval_f1": 0.19540229885057472,
"eval_loss": 1.8779761791229248,
"eval_precision": 0.4594594594594595,
"eval_recall": 0.12408759124087591,
"eval_runtime": 0.3807,
"eval_samples_per_second": 262.671,
"eval_steps_per_second": 34.147,
"step": 375
},
{
"epoch": 4.0,
"grad_norm": 1.3616102933883667,
"learning_rate": 1.4666666666666666e-05,
"loss": 2.0165,
"step": 500
},
{
"epoch": 4.0,
"eval_accuracy": 0.8788150807899462,
"eval_f1": 0.55,
"eval_loss": 1.7138484716415405,
"eval_precision": 0.6407766990291263,
"eval_recall": 0.48175182481751827,
"eval_runtime": 0.3747,
"eval_samples_per_second": 266.905,
"eval_steps_per_second": 34.698,
"step": 500
},
{
"epoch": 5.0,
"eval_accuracy": 0.8940754039497307,
"eval_f1": 0.6439393939393939,
"eval_loss": 1.5681630373001099,
"eval_precision": 0.6692913385826772,
"eval_recall": 0.6204379562043796,
"eval_runtime": 0.4653,
"eval_samples_per_second": 214.902,
"eval_steps_per_second": 27.937,
"step": 625
},
{
"epoch": 6.0,
"eval_accuracy": 0.9371633752244165,
"eval_f1": 0.7970479704797049,
"eval_loss": 1.4361474514007568,
"eval_precision": 0.8059701492537313,
"eval_recall": 0.7883211678832117,
"eval_runtime": 0.4338,
"eval_samples_per_second": 230.535,
"eval_steps_per_second": 29.97,
"step": 750
},
{
"epoch": 7.0,
"eval_accuracy": 0.9488330341113106,
"eval_f1": 0.8475836431226766,
"eval_loss": 1.3189666271209717,
"eval_precision": 0.8636363636363636,
"eval_recall": 0.8321167883211679,
"eval_runtime": 0.462,
"eval_samples_per_second": 216.445,
"eval_steps_per_second": 28.138,
"step": 875
},
{
"epoch": 8.0,
"grad_norm": 1.242187738418579,
"learning_rate": 9.333333333333334e-06,
"loss": 1.461,
"step": 1000
},
{
"epoch": 8.0,
"eval_accuracy": 0.9605026929982047,
"eval_f1": 0.8623188405797102,
"eval_loss": 1.2221076488494873,
"eval_precision": 0.8561151079136691,
"eval_recall": 0.8686131386861314,
"eval_runtime": 0.4073,
"eval_samples_per_second": 245.517,
"eval_steps_per_second": 31.917,
"step": 1000
},
{
"epoch": 9.0,
"eval_accuracy": 0.966786355475763,
"eval_f1": 0.9051094890510949,
"eval_loss": 1.1402738094329834,
"eval_precision": 0.9051094890510949,
"eval_recall": 0.9051094890510949,
"eval_runtime": 0.4198,
"eval_samples_per_second": 238.187,
"eval_steps_per_second": 30.964,
"step": 1125
},
{
"epoch": 10.0,
"eval_accuracy": 0.966786355475763,
"eval_f1": 0.8864468864468864,
"eval_loss": 1.0731350183486938,
"eval_precision": 0.8897058823529411,
"eval_recall": 0.8832116788321168,
"eval_runtime": 0.3515,
"eval_samples_per_second": 284.456,
"eval_steps_per_second": 36.979,
"step": 1250
},
{
"epoch": 11.0,
"eval_accuracy": 0.9676840215439856,
"eval_f1": 0.9025270758122744,
"eval_loss": 1.0196468830108643,
"eval_precision": 0.8928571428571429,
"eval_recall": 0.9124087591240876,
"eval_runtime": 0.414,
"eval_samples_per_second": 241.566,
"eval_steps_per_second": 31.404,
"step": 1375
},
{
"epoch": 12.0,
"grad_norm": 1.1379125118255615,
"learning_rate": 4.000000000000001e-06,
"loss": 1.0954,
"step": 1500
},
{
"epoch": 12.0,
"eval_accuracy": 0.9685816876122083,
"eval_f1": 0.9057971014492754,
"eval_loss": 0.9813730120658875,
"eval_precision": 0.8992805755395683,
"eval_recall": 0.9124087591240876,
"eval_runtime": 0.3827,
"eval_samples_per_second": 261.27,
"eval_steps_per_second": 33.965,
"step": 1500
},
{
"epoch": 13.0,
"eval_accuracy": 0.9703770197486535,
"eval_f1": 0.9057971014492754,
"eval_loss": 0.955005943775177,
"eval_precision": 0.8992805755395683,
"eval_recall": 0.9124087591240876,
"eval_runtime": 0.4058,
"eval_samples_per_second": 246.447,
"eval_steps_per_second": 32.038,
"step": 1625
},
{
"epoch": 14.0,
"eval_accuracy": 0.9694793536804309,
"eval_f1": 0.9025270758122744,
"eval_loss": 0.9408783912658691,
"eval_precision": 0.8928571428571429,
"eval_recall": 0.9124087591240876,
"eval_runtime": 0.3995,
"eval_samples_per_second": 250.335,
"eval_steps_per_second": 32.544,
"step": 1750
},
{
"epoch": 15.0,
"eval_accuracy": 0.9703770197486535,
"eval_f1": 0.9057971014492754,
"eval_loss": 0.9354953169822693,
"eval_precision": 0.8992805755395683,
"eval_recall": 0.9124087591240876,
"eval_runtime": 0.4049,
"eval_samples_per_second": 246.945,
"eval_steps_per_second": 32.103,
"step": 1875
}
],
"logging_steps": 500,
"max_steps": 1875,
"num_input_tokens_seen": 0,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 153789736715280.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}
|