File size: 4,282 Bytes
7c5a86f | 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": 0.8784,
"best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0643/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": 55.71562194824219,
"learning_rate": 7e-05,
"loss": 3.3802,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.5824,
"eval_loss": 1.8887196779251099,
"eval_runtime": 8.0167,
"eval_samples_per_second": 467.775,
"eval_steps_per_second": 7.36,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 246.6086883544922,
"learning_rate": 7e-05,
"loss": 1.1212,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8005333333333333,
"eval_loss": 0.7105347514152527,
"eval_runtime": 7.4747,
"eval_samples_per_second": 501.692,
"eval_steps_per_second": 7.893,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 96.97613525390625,
"learning_rate": 7e-05,
"loss": 0.6549,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.836,
"eval_loss": 0.5566152334213257,
"eval_runtime": 7.881,
"eval_samples_per_second": 475.831,
"eval_steps_per_second": 7.486,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 82.99352264404297,
"learning_rate": 7e-05,
"loss": 0.4951,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8610666666666666,
"eval_loss": 0.4799044728279114,
"eval_runtime": 7.4729,
"eval_samples_per_second": 501.811,
"eval_steps_per_second": 7.895,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 199.56512451171875,
"learning_rate": 7e-05,
"loss": 0.3919,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8616,
"eval_loss": 0.47139081358909607,
"eval_runtime": 7.4481,
"eval_samples_per_second": 503.486,
"eval_steps_per_second": 7.922,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 199.5041046142578,
"learning_rate": 7e-05,
"loss": 0.3317,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.8741333333333333,
"eval_loss": 0.43580183386802673,
"eval_runtime": 7.4923,
"eval_samples_per_second": 500.512,
"eval_steps_per_second": 7.875,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 66.11186218261719,
"learning_rate": 7e-05,
"loss": 0.2676,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.8754666666666666,
"eval_loss": 0.4195924997329712,
"eval_runtime": 7.4561,
"eval_samples_per_second": 502.945,
"eval_steps_per_second": 7.913,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 49.9759521484375,
"learning_rate": 7e-05,
"loss": 0.2232,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.8778666666666667,
"eval_loss": 0.40542715787887573,
"eval_runtime": 7.42,
"eval_samples_per_second": 505.393,
"eval_steps_per_second": 7.952,
"step": 2664
},
{
"epoch": 9.0,
"grad_norm": 74.59369659423828,
"learning_rate": 7e-05,
"loss": 0.1886,
"step": 2997
},
{
"epoch": 9.0,
"eval_accuracy": 0.8784,
"eval_loss": 0.4242912232875824,
"eval_runtime": 7.6797,
"eval_samples_per_second": 488.298,
"eval_steps_per_second": 7.683,
"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
}
|