File size: 4,079 Bytes
f961e87 |
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 |
{
"best_metric": 0.9010666666666667,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0680/checkpoints/checkpoint-2664",
"epoch": 8.0,
"eval_steps": 500,
"global_step": 2664,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": Infinity,
"learning_rate": 6.127627627627627e-05,
"loss": 1.7395,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.8154666666666667,
"eval_loss": 0.7154039144515991,
"eval_runtime": 12.2347,
"eval_samples_per_second": 306.505,
"eval_steps_per_second": 4.822,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 0.8144007325172424,
"learning_rate": 5.252627627627627e-05,
"loss": 0.5276,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8477333333333333,
"eval_loss": 0.5498841404914856,
"eval_runtime": 12.3599,
"eval_samples_per_second": 303.401,
"eval_steps_per_second": 4.774,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": Infinity,
"learning_rate": 4.3802552552552546e-05,
"loss": 0.3004,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8698666666666667,
"eval_loss": 0.45408788323402405,
"eval_runtime": 11.9612,
"eval_samples_per_second": 313.514,
"eval_steps_per_second": 4.933,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 1.3185418844223022,
"learning_rate": 3.5052552552552544e-05,
"loss": 0.1713,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8714666666666666,
"eval_loss": 0.4512695074081421,
"eval_runtime": 11.9342,
"eval_samples_per_second": 314.223,
"eval_steps_per_second": 4.944,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 0.4788367748260498,
"learning_rate": 2.630255255255255e-05,
"loss": 0.0944,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8850666666666667,
"eval_loss": 0.42022520303726196,
"eval_runtime": 12.0098,
"eval_samples_per_second": 312.244,
"eval_steps_per_second": 4.913,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 0.24543941020965576,
"learning_rate": 1.7552552552552552e-05,
"loss": 0.0503,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.892,
"eval_loss": 0.41637349128723145,
"eval_runtime": 11.9986,
"eval_samples_per_second": 312.537,
"eval_steps_per_second": 4.917,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 0.062248069792985916,
"learning_rate": 8.802552552552553e-06,
"loss": 0.0236,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.8954666666666666,
"eval_loss": 0.41382303833961487,
"eval_runtime": 11.984,
"eval_samples_per_second": 312.918,
"eval_steps_per_second": 4.923,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.07221157103776932,
"learning_rate": 5.255255255255255e-08,
"loss": 0.0125,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9010666666666667,
"eval_loss": 0.3971787393093109,
"eval_runtime": 12.2828,
"eval_samples_per_second": 305.304,
"eval_steps_per_second": 4.803,
"step": 2664
}
],
"logging_steps": 500,
"max_steps": 2664,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"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": 1.317930564980736e+19,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|