File size: 2,018 Bytes
a3fd556 |
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 |
{
"best_metric": 0.8845333333333333,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_dino-vitb16/model_idx_0518/checkpoints/checkpoint-999",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 999,
"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": 5e-05,
"loss": 0.7519,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.8530666666666666,
"eval_loss": 0.437730610370636,
"eval_runtime": 6.8728,
"eval_samples_per_second": 545.627,
"eval_steps_per_second": 8.585,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 1.5109819173812866,
"learning_rate": 5e-05,
"loss": 0.2407,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8701333333333333,
"eval_loss": 0.44706451892852783,
"eval_runtime": 6.8754,
"eval_samples_per_second": 545.426,
"eval_steps_per_second": 8.581,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 4.249124526977539,
"learning_rate": 5e-05,
"loss": 0.1533,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8845333333333333,
"eval_loss": 0.41501909494400024,
"eval_runtime": 6.3966,
"eval_samples_per_second": 586.252,
"eval_steps_per_second": 9.224,
"step": 999
}
],
"logging_steps": 500,
"max_steps": 1332,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"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": 4.94223961867776e+18,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|