File size: 4,081 Bytes
d32ce45 |
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": 0.9106666666666666,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0645/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": 96.11920166015625,
"learning_rate": 9.623897705919314e-05,
"loss": 0.9576,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.8298666666666666,
"eval_loss": 0.5439417958259583,
"eval_runtime": 14.2841,
"eval_samples_per_second": 262.53,
"eval_steps_per_second": 4.13,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 0.1604273021221161,
"learning_rate": 8.543862808774192e-05,
"loss": 0.3633,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8261333333333334,
"eval_loss": 0.5779120922088623,
"eval_runtime": 12.1559,
"eval_samples_per_second": 308.493,
"eval_steps_per_second": 4.854,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 0.32690557837486267,
"learning_rate": 6.924306924189557e-05,
"loss": 0.2032,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8552,
"eval_loss": 0.5504829287528992,
"eval_runtime": 12.7904,
"eval_samples_per_second": 293.189,
"eval_steps_per_second": 4.613,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 3.6298604011535645,
"learning_rate": 5.011792754282769e-05,
"loss": 0.116,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8722666666666666,
"eval_loss": 0.4727502465248108,
"eval_runtime": 12.5565,
"eval_samples_per_second": 298.65,
"eval_steps_per_second": 4.699,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 0.013591110706329346,
"learning_rate": 3.0974832444380136e-05,
"loss": 0.0547,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8853333333333333,
"eval_loss": 0.44551724195480347,
"eval_runtime": 13.2007,
"eval_samples_per_second": 284.076,
"eval_steps_per_second": 4.469,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 0.00078463030513376,
"learning_rate": 1.472814664270234e-05,
"loss": 0.017,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.8989333333333334,
"eval_loss": 0.43828627467155457,
"eval_runtime": 13.0729,
"eval_samples_per_second": 286.853,
"eval_steps_per_second": 4.513,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 0.005578932818025351,
"learning_rate": 3.851280774526222e-06,
"loss": 0.0053,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.9056,
"eval_loss": 0.4155564308166504,
"eval_runtime": 13.1219,
"eval_samples_per_second": 285.782,
"eval_steps_per_second": 4.496,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.016379250213503838,
"learning_rate": 1.3906924697382196e-10,
"loss": 0.0018,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9106666666666666,
"eval_loss": 0.398611456155777,
"eval_runtime": 13.3477,
"eval_samples_per_second": 280.948,
"eval_steps_per_second": 4.42,
"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
}
|