File size: 2,053 Bytes
f502f91 |
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": 0.8501333333333333,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0030/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": 2.0030030030030034e-05,
"loss": 2.2546,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.7690666666666667,
"eval_loss": 1.1484309434890747,
"eval_runtime": 5.7494,
"eval_samples_per_second": 652.245,
"eval_steps_per_second": 10.262,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": Infinity,
"learning_rate": 1.006006006006006e-05,
"loss": 0.8432,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.8317333333333333,
"eval_loss": 0.7135227918624878,
"eval_runtime": 5.918,
"eval_samples_per_second": 633.655,
"eval_steps_per_second": 9.97,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 1.743705153465271,
"learning_rate": 6.006006006006006e-08,
"loss": 0.5358,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.8501333333333333,
"eval_loss": 0.6014233827590942,
"eval_runtime": 5.9643,
"eval_samples_per_second": 628.74,
"eval_steps_per_second": 9.892,
"step": 999
}
],
"logging_steps": 500,
"max_steps": 999,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"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": 4.94223961867776e+18,
"train_batch_size": 64,
"trial_name": null,
"trial_params": null
}
|