File size: 4,059 Bytes
32dab4b |
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": 0.9173333333333333,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0927/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": 10.243700981140137,
"learning_rate": 8.753753753753754e-05,
"loss": 0.8156,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.8322666666666667,
"eval_loss": 0.5370187759399414,
"eval_runtime": 10.7202,
"eval_samples_per_second": 349.806,
"eval_steps_per_second": 5.504,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 0.6557225584983826,
"learning_rate": 7.507507507507507e-05,
"loss": 0.2884,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8672,
"eval_loss": 0.4544456899166107,
"eval_runtime": 10.35,
"eval_samples_per_second": 362.318,
"eval_steps_per_second": 5.7,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 5.566348075866699,
"learning_rate": 6.257507507507508e-05,
"loss": 0.1462,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8653333333333333,
"eval_loss": 0.4877142310142517,
"eval_runtime": 10.4834,
"eval_samples_per_second": 357.707,
"eval_steps_per_second": 5.628,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 7.75417423248291,
"learning_rate": 5.0075075075075074e-05,
"loss": 0.0859,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8888,
"eval_loss": 0.4447403848171234,
"eval_runtime": 10.505,
"eval_samples_per_second": 356.974,
"eval_steps_per_second": 5.616,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 0.24770772457122803,
"learning_rate": 3.7575075075075075e-05,
"loss": 0.0438,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8912,
"eval_loss": 0.479271799325943,
"eval_runtime": 10.3038,
"eval_samples_per_second": 363.944,
"eval_steps_per_second": 5.726,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 0.0001786894426913932,
"learning_rate": 2.5075075075075076e-05,
"loss": 0.0166,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.9002666666666667,
"eval_loss": 0.43210268020629883,
"eval_runtime": 10.4688,
"eval_samples_per_second": 358.207,
"eval_steps_per_second": 5.636,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 0.0004563328402582556,
"learning_rate": 1.2575075075075077e-05,
"loss": 0.0037,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.9168,
"eval_loss": 0.3666068911552429,
"eval_runtime": 10.2807,
"eval_samples_per_second": 364.759,
"eval_steps_per_second": 5.739,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.0008575678220950067,
"learning_rate": 7.507507507507508e-08,
"loss": 0.0009,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9173333333333333,
"eval_loss": 0.3755517601966858,
"eval_runtime": 10.6072,
"eval_samples_per_second": 353.532,
"eval_steps_per_second": 5.562,
"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
}
|