File size: 4,320 Bytes
ee13fea |
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 |
{
"best_metric": 0.9109333333333334,
"best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0478/checkpoints/checkpoint-2997",
"epoch": 9.0,
"eval_steps": 500,
"global_step": 2997,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 91.47952270507812,
"learning_rate": 5e-05,
"loss": 3.578,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.608,
"eval_loss": 2.7571327686309814,
"eval_runtime": 14.7048,
"eval_samples_per_second": 255.018,
"eval_steps_per_second": 4.012,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 538.4880981445312,
"learning_rate": 5e-05,
"loss": 1.4112,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8154666666666667,
"eval_loss": 0.7395215034484863,
"eval_runtime": 15.0007,
"eval_samples_per_second": 249.988,
"eval_steps_per_second": 3.933,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 119.97044372558594,
"learning_rate": 5e-05,
"loss": 0.6258,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8653333333333333,
"eval_loss": 0.49489733576774597,
"eval_runtime": 14.5906,
"eval_samples_per_second": 257.016,
"eval_steps_per_second": 4.044,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 86.9740219116211,
"learning_rate": 5e-05,
"loss": 0.4365,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8928,
"eval_loss": 0.39437082409858704,
"eval_runtime": 14.5258,
"eval_samples_per_second": 258.161,
"eval_steps_per_second": 4.062,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 820.2091064453125,
"learning_rate": 5e-05,
"loss": 0.3406,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8938666666666667,
"eval_loss": 0.3751886188983917,
"eval_runtime": 14.5436,
"eval_samples_per_second": 257.845,
"eval_steps_per_second": 4.057,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 151.56661987304688,
"learning_rate": 5e-05,
"loss": 0.2619,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.8981333333333333,
"eval_loss": 0.35653412342071533,
"eval_runtime": 14.5076,
"eval_samples_per_second": 258.485,
"eval_steps_per_second": 4.067,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 136.89627075195312,
"learning_rate": 5e-05,
"loss": 0.2028,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.9048,
"eval_loss": 0.3290266990661621,
"eval_runtime": 14.4793,
"eval_samples_per_second": 258.99,
"eval_steps_per_second": 4.075,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 211.25003051757812,
"learning_rate": 5e-05,
"loss": 0.1716,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9101333333333333,
"eval_loss": 0.3156541883945465,
"eval_runtime": 13.8147,
"eval_samples_per_second": 271.45,
"eval_steps_per_second": 4.271,
"step": 2664
},
{
"epoch": 9.0,
"grad_norm": 177.6565399169922,
"learning_rate": 5e-05,
"loss": 0.1435,
"step": 2997
},
{
"epoch": 9.0,
"eval_accuracy": 0.9109333333333334,
"eval_loss": 0.31637707352638245,
"eval_runtime": 14.6103,
"eval_samples_per_second": 256.668,
"eval_steps_per_second": 4.038,
"step": 2997
}
],
"logging_steps": 500,
"max_steps": 2997,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 7.3587863155968e+18,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|