| { | |
| "best_metric": 0.8965333333333333, | |
| "best_model_checkpoint": "./vit_finetuned_models_dataset/CIFAR100/50_from_100/facebook_vit-mae-base/model_idx_0170/checkpoints/checkpoint-1998", | |
| "epoch": 6.0, | |
| "eval_steps": 500, | |
| "global_step": 1998, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 1.9555903673171997, | |
| "learning_rate": 5e-05, | |
| "loss": 1.6878, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.8213333333333334, | |
| "eval_loss": 0.7030234336853027, | |
| "eval_runtime": 11.9596, | |
| "eval_samples_per_second": 313.556, | |
| "eval_steps_per_second": 4.933, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 12.445852279663086, | |
| "learning_rate": 5e-05, | |
| "loss": 0.4934, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8533333333333334, | |
| "eval_loss": 0.49574920535087585, | |
| "eval_runtime": 11.3627, | |
| "eval_samples_per_second": 330.027, | |
| "eval_steps_per_second": 5.192, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 7.468923091888428, | |
| "learning_rate": 5e-05, | |
| "loss": 0.2881, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8829333333333333, | |
| "eval_loss": 0.4118095636367798, | |
| "eval_runtime": 10.6414, | |
| "eval_samples_per_second": 352.397, | |
| "eval_steps_per_second": 5.544, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 11.58633804321289, | |
| "learning_rate": 5e-05, | |
| "loss": 0.1937, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8872, | |
| "eval_loss": 0.40273594856262207, | |
| "eval_runtime": 10.3489, | |
| "eval_samples_per_second": 362.358, | |
| "eval_steps_per_second": 5.701, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 10.278923988342285, | |
| "learning_rate": 5e-05, | |
| "loss": 0.1268, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8890666666666667, | |
| "eval_loss": 0.4058311879634857, | |
| "eval_runtime": 10.7446, | |
| "eval_samples_per_second": 349.012, | |
| "eval_steps_per_second": 5.491, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 0.40097880363464355, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0965, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8965333333333333, | |
| "eval_loss": 0.3907693326473236, | |
| "eval_runtime": 10.9817, | |
| "eval_samples_per_second": 341.477, | |
| "eval_steps_per_second": 5.373, | |
| "step": 1998 | |
| } | |
| ], | |
| "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": 9.88447923735552e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |