| { |
| "best_metric": 0.912, |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0101/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": 32.01685333251953, |
| "learning_rate": 0.0004375, |
| "loss": 1.3926, |
| "step": 333 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.8477333333333333, |
| "eval_loss": 0.5304312705993652, |
| "eval_runtime": 7.7326, |
| "eval_samples_per_second": 484.957, |
| "eval_steps_per_second": 7.63, |
| "step": 333 |
| }, |
| { |
| "epoch": 2.0, |
| "grad_norm": 29.12260627746582, |
| "learning_rate": 0.000375, |
| "loss": 0.4432, |
| "step": 666 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.8717333333333334, |
| "eval_loss": 0.45705509185791016, |
| "eval_runtime": 7.6134, |
| "eval_samples_per_second": 492.555, |
| "eval_steps_per_second": 7.75, |
| "step": 666 |
| }, |
| { |
| "epoch": 3.0, |
| "grad_norm": 38.68257141113281, |
| "learning_rate": 0.0003125, |
| "loss": 0.2522, |
| "step": 999 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.8877333333333334, |
| "eval_loss": 0.4050454795360565, |
| "eval_runtime": 7.5951, |
| "eval_samples_per_second": 493.74, |
| "eval_steps_per_second": 7.768, |
| "step": 999 |
| }, |
| { |
| "epoch": 4.0, |
| "grad_norm": 54.05279541015625, |
| "learning_rate": 0.00025, |
| "loss": 0.1569, |
| "step": 1332 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.8922666666666667, |
| "eval_loss": 0.4059542715549469, |
| "eval_runtime": 7.5863, |
| "eval_samples_per_second": 494.313, |
| "eval_steps_per_second": 7.777, |
| "step": 1332 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 25.94581413269043, |
| "learning_rate": 0.0001875, |
| "loss": 0.0914, |
| "step": 1665 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.8928, |
| "eval_loss": 0.42724981904029846, |
| "eval_runtime": 7.6124, |
| "eval_samples_per_second": 492.616, |
| "eval_steps_per_second": 7.75, |
| "step": 1665 |
| }, |
| { |
| "epoch": 6.0, |
| "grad_norm": 32.35019302368164, |
| "learning_rate": 0.000125, |
| "loss": 0.054, |
| "step": 1998 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.9016, |
| "eval_loss": 0.4181336462497711, |
| "eval_runtime": 7.6555, |
| "eval_samples_per_second": 489.843, |
| "eval_steps_per_second": 7.707, |
| "step": 1998 |
| }, |
| { |
| "epoch": 7.0, |
| "grad_norm": 42.78337860107422, |
| "learning_rate": 6.25e-05, |
| "loss": 0.0346, |
| "step": 2331 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.9085333333333333, |
| "eval_loss": 0.37606021761894226, |
| "eval_runtime": 7.7496, |
| "eval_samples_per_second": 483.898, |
| "eval_steps_per_second": 7.613, |
| "step": 2331 |
| }, |
| { |
| "epoch": 8.0, |
| "grad_norm": 41.785030364990234, |
| "learning_rate": 0.0, |
| "loss": 0.0216, |
| "step": 2664 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.912, |
| "eval_loss": 0.38377663493156433, |
| "eval_runtime": 7.6558, |
| "eval_samples_per_second": 489.823, |
| "eval_steps_per_second": 7.707, |
| "step": 2664 |
| } |
| ], |
| "logging_steps": 500, |
| "max_steps": 2664, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 8, |
| "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": 6.5411433916416e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|