File size: 4,294 Bytes
0a66bd5 |
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": 0.8696,
"best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0956/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": 162.41836547851562,
"learning_rate": 3e-05,
"loss": 3.8473,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.4066666666666667,
"eval_loss": 3.709223985671997,
"eval_runtime": 7.5629,
"eval_samples_per_second": 495.844,
"eval_steps_per_second": 7.801,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 140.19288635253906,
"learning_rate": 3e-05,
"loss": 3.0331,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.6186666666666667,
"eval_loss": 2.233522891998291,
"eval_runtime": 7.7105,
"eval_samples_per_second": 486.35,
"eval_steps_per_second": 7.652,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 144.09326171875,
"learning_rate": 3e-05,
"loss": 1.4132,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.76,
"eval_loss": 0.9559027552604675,
"eval_runtime": 7.6855,
"eval_samples_per_second": 487.931,
"eval_steps_per_second": 7.677,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 245.33340454101562,
"learning_rate": 3e-05,
"loss": 0.8431,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8130666666666667,
"eval_loss": 0.6744756698608398,
"eval_runtime": 7.7989,
"eval_samples_per_second": 480.838,
"eval_steps_per_second": 7.565,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 180.73423767089844,
"learning_rate": 3e-05,
"loss": 0.6635,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8338666666666666,
"eval_loss": 0.5643283724784851,
"eval_runtime": 7.7122,
"eval_samples_per_second": 486.24,
"eval_steps_per_second": 7.65,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 150.23997497558594,
"learning_rate": 3e-05,
"loss": 0.5456,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.8477333333333333,
"eval_loss": 0.5088294744491577,
"eval_runtime": 7.7255,
"eval_samples_per_second": 485.407,
"eval_steps_per_second": 7.637,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 469.0445556640625,
"learning_rate": 3e-05,
"loss": 0.4741,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.8562666666666666,
"eval_loss": 0.48997870087623596,
"eval_runtime": 7.7446,
"eval_samples_per_second": 484.209,
"eval_steps_per_second": 7.618,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 95.25812530517578,
"learning_rate": 3e-05,
"loss": 0.4244,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.8672,
"eval_loss": 0.43941009044647217,
"eval_runtime": 7.692,
"eval_samples_per_second": 487.517,
"eval_steps_per_second": 7.67,
"step": 2664
},
{
"epoch": 9.0,
"grad_norm": 293.98577880859375,
"learning_rate": 3e-05,
"loss": 0.3857,
"step": 2997
},
{
"epoch": 9.0,
"eval_accuracy": 0.8696,
"eval_loss": 0.42392534017562866,
"eval_runtime": 7.6973,
"eval_samples_per_second": 487.181,
"eval_steps_per_second": 7.665,
"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
}
|