File size: 2,019 Bytes
624889f |
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": 0.9493333333333334,
"best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/google_vit-base-patch16-224/model_idx_0458/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": 0.211612731218338,
"learning_rate": 6e-05,
"loss": 0.6596,
"step": 333
},
{
"epoch": 1.0,
"eval_accuracy": 0.9218666666666666,
"eval_loss": 0.25466465950012207,
"eval_runtime": 5.3577,
"eval_samples_per_second": 699.93,
"eval_steps_per_second": 11.012,
"step": 333
},
{
"epoch": 2.0,
"grad_norm": 0.22648119926452637,
"learning_rate": 3e-05,
"loss": 0.124,
"step": 666
},
{
"epoch": 2.0,
"eval_accuracy": 0.944,
"eval_loss": 0.193972647190094,
"eval_runtime": 5.7658,
"eval_samples_per_second": 650.388,
"eval_steps_per_second": 10.233,
"step": 666
},
{
"epoch": 3.0,
"grad_norm": 0.2683180272579193,
"learning_rate": 0.0,
"loss": 0.0366,
"step": 999
},
{
"epoch": 3.0,
"eval_accuracy": 0.9493333333333334,
"eval_loss": 0.17215533554553986,
"eval_runtime": 5.5299,
"eval_samples_per_second": 678.13,
"eval_steps_per_second": 10.669,
"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
}
|