File size: 4,878 Bytes
731e939 |
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 |
{
"best_metric": 1.6337087154388428,
"best_model_checkpoint": "100_butterfly_types_image_detection/checkpoint-3465",
"epoch": 15.0,
"eval_steps": 500,
"global_step": 3465,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.6621319796954315,
"eval_loss": 4.154695987701416,
"eval_runtime": 40.6748,
"eval_samples_per_second": 121.082,
"eval_steps_per_second": 3.786,
"step": 231
},
{
"epoch": 2.0,
"eval_accuracy": 0.8588832487309644,
"eval_loss": 3.608853578567505,
"eval_runtime": 41.7835,
"eval_samples_per_second": 117.87,
"eval_steps_per_second": 3.686,
"step": 462
},
{
"epoch": 2.16,
"learning_rate": 8.682284040995608e-06,
"loss": 4.077,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.8895431472081218,
"eval_loss": 3.190139055252075,
"eval_runtime": 42.0486,
"eval_samples_per_second": 117.126,
"eval_steps_per_second": 3.662,
"step": 693
},
{
"epoch": 4.0,
"eval_accuracy": 0.9043654822335025,
"eval_loss": 2.8671975135803223,
"eval_runtime": 40.6122,
"eval_samples_per_second": 121.269,
"eval_steps_per_second": 3.792,
"step": 924
},
{
"epoch": 4.33,
"learning_rate": 7.218155197657395e-06,
"loss": 3.0689,
"step": 1000
},
{
"epoch": 5.0,
"eval_accuracy": 0.9147208121827411,
"eval_loss": 2.606879472732544,
"eval_runtime": 40.6663,
"eval_samples_per_second": 121.108,
"eval_steps_per_second": 3.787,
"step": 1155
},
{
"epoch": 6.0,
"eval_accuracy": 0.9224365482233503,
"eval_loss": 2.3912792205810547,
"eval_runtime": 40.5166,
"eval_samples_per_second": 121.555,
"eval_steps_per_second": 3.801,
"step": 1386
},
{
"epoch": 6.49,
"learning_rate": 5.754026354319181e-06,
"loss": 2.4547,
"step": 1500
},
{
"epoch": 7.0,
"eval_accuracy": 0.926497461928934,
"eval_loss": 2.2159242630004883,
"eval_runtime": 40.4069,
"eval_samples_per_second": 121.885,
"eval_steps_per_second": 3.811,
"step": 1617
},
{
"epoch": 8.0,
"eval_accuracy": 0.9279187817258884,
"eval_loss": 2.0654704570770264,
"eval_runtime": 40.4645,
"eval_samples_per_second": 121.712,
"eval_steps_per_second": 3.806,
"step": 1848
},
{
"epoch": 8.66,
"learning_rate": 4.2898975109809665e-06,
"loss": 2.0536,
"step": 2000
},
{
"epoch": 9.0,
"eval_accuracy": 0.9315736040609137,
"eval_loss": 1.9445736408233643,
"eval_runtime": 40.3369,
"eval_samples_per_second": 122.097,
"eval_steps_per_second": 3.818,
"step": 2079
},
{
"epoch": 10.0,
"eval_accuracy": 0.9344162436548223,
"eval_loss": 1.8448750972747803,
"eval_runtime": 40.5843,
"eval_samples_per_second": 121.352,
"eval_steps_per_second": 3.795,
"step": 2310
},
{
"epoch": 10.82,
"learning_rate": 2.8257686676427524e-06,
"loss": 1.7868,
"step": 2500
},
{
"epoch": 11.0,
"eval_accuracy": 0.9354314720812182,
"eval_loss": 1.7672532796859741,
"eval_runtime": 56.2336,
"eval_samples_per_second": 87.581,
"eval_steps_per_second": 2.739,
"step": 2541
},
{
"epoch": 12.0,
"eval_accuracy": 0.9403045685279188,
"eval_loss": 1.707955241203308,
"eval_runtime": 40.1259,
"eval_samples_per_second": 122.739,
"eval_steps_per_second": 3.838,
"step": 2772
},
{
"epoch": 12.99,
"learning_rate": 1.361639824304539e-06,
"loss": 1.6272,
"step": 3000
},
{
"epoch": 13.0,
"eval_accuracy": 0.9421319796954315,
"eval_loss": 1.6671137809753418,
"eval_runtime": 40.247,
"eval_samples_per_second": 122.369,
"eval_steps_per_second": 3.826,
"step": 3003
},
{
"epoch": 14.0,
"eval_accuracy": 0.9423350253807107,
"eval_loss": 1.642307162284851,
"eval_runtime": 40.3588,
"eval_samples_per_second": 122.03,
"eval_steps_per_second": 3.816,
"step": 3234
},
{
"epoch": 15.0,
"eval_accuracy": 0.9421319796954315,
"eval_loss": 1.6337087154388428,
"eval_runtime": 45.9397,
"eval_samples_per_second": 107.206,
"eval_steps_per_second": 3.352,
"step": 3465
}
],
"logging_steps": 500,
"max_steps": 3465,
"num_train_epochs": 15,
"save_steps": 500,
"total_flos": 1.7189247003522048e+19,
"trial_name": null,
"trial_params": null
}
|