File size: 4,097 Bytes
517e7e9 |
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": 0.9133333333333333,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0093/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": 2.0641701221466064,
"learning_rate": 9.700253128109275e-05,
"loss": 0.9869,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.8272,
"eval_loss": 0.5782424211502075,
"eval_runtime": 11.13,
"eval_samples_per_second": 336.926,
"eval_steps_per_second": 5.301,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 3.48075008392334,
"learning_rate": 8.833589107668211e-05,
"loss": 0.3785,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8325333333333333,
"eval_loss": 0.6065165400505066,
"eval_runtime": 11.8001,
"eval_samples_per_second": 317.795,
"eval_steps_per_second": 5.0,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 2.5759434700012207,
"learning_rate": 7.504537663092833e-05,
"loss": 0.2174,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8493333333333334,
"eval_loss": 0.5362476110458374,
"eval_runtime": 11.6998,
"eval_samples_per_second": 320.519,
"eval_steps_per_second": 5.043,
"step": 999
},
{
"epoch": 4.0,
"grad_norm": 4.361108779907227,
"learning_rate": 5.873402013309226e-05,
"loss": 0.1271,
"step": 1332
},
{
"epoch": 4.0,
"eval_accuracy": 0.8693333333333333,
"eval_loss": 0.5005639791488647,
"eval_runtime": 14.1467,
"eval_samples_per_second": 265.08,
"eval_steps_per_second": 4.171,
"step": 1332
},
{
"epoch": 5.0,
"grad_norm": 0.043982088565826416,
"learning_rate": 4.136921190679637e-05,
"loss": 0.0672,
"step": 1665
},
{
"epoch": 5.0,
"eval_accuracy": 0.8794666666666666,
"eval_loss": 0.49878165125846863,
"eval_runtime": 14.7991,
"eval_samples_per_second": 253.394,
"eval_steps_per_second": 3.987,
"step": 1665
},
{
"epoch": 6.0,
"grad_norm": 0.038176968693733215,
"learning_rate": 2.5045404101407076e-05,
"loss": 0.0278,
"step": 1998
},
{
"epoch": 6.0,
"eval_accuracy": 0.8946666666666667,
"eval_loss": 0.44131216406822205,
"eval_runtime": 11.0215,
"eval_samples_per_second": 340.244,
"eval_steps_per_second": 5.353,
"step": 1998
},
{
"epoch": 7.0,
"grad_norm": 0.00500944210216403,
"learning_rate": 1.1731488851999511e-05,
"loss": 0.0084,
"step": 2331
},
{
"epoch": 7.0,
"eval_accuracy": 0.9098666666666667,
"eval_loss": 0.36991825699806213,
"eval_runtime": 11.4103,
"eval_samples_per_second": 328.652,
"eval_steps_per_second": 5.171,
"step": 2331
},
{
"epoch": 8.0,
"grad_norm": 0.00012373868958093226,
"learning_rate": 3.033320830114261e-06,
"loss": 0.0022,
"step": 2664
},
{
"epoch": 8.0,
"eval_accuracy": 0.9133333333333333,
"eval_loss": 0.37062686681747437,
"eval_runtime": 10.9763,
"eval_samples_per_second": 341.644,
"eval_steps_per_second": 5.375,
"step": 2664
}
],
"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": false
},
"attributes": {}
}
},
"total_flos": 1.317930564980736e+19,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|