| { | |
| "best_metric": 0.876, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0071/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": 97.49886322021484, | |
| "learning_rate": 5e-05, | |
| "loss": 3.5792, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5106666666666667, | |
| "eval_loss": 2.724250555038452, | |
| "eval_runtime": 12.6724, | |
| "eval_samples_per_second": 295.918, | |
| "eval_steps_per_second": 4.656, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 73.82286071777344, | |
| "learning_rate": 5e-05, | |
| "loss": 1.5178, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7701333333333333, | |
| "eval_loss": 0.8667422533035278, | |
| "eval_runtime": 12.4628, | |
| "eval_samples_per_second": 300.896, | |
| "eval_steps_per_second": 4.734, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 131.2230224609375, | |
| "learning_rate": 5e-05, | |
| "loss": 0.7191, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8122666666666667, | |
| "eval_loss": 0.606163740158081, | |
| "eval_runtime": 12.5026, | |
| "eval_samples_per_second": 299.938, | |
| "eval_steps_per_second": 4.719, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 213.77517700195312, | |
| "learning_rate": 5e-05, | |
| "loss": 0.5098, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.848, | |
| "eval_loss": 0.4969116449356079, | |
| "eval_runtime": 12.4596, | |
| "eval_samples_per_second": 300.972, | |
| "eval_steps_per_second": 4.735, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 79.2835693359375, | |
| "learning_rate": 5e-05, | |
| "loss": 0.3944, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8613333333333333, | |
| "eval_loss": 0.45226866006851196, | |
| "eval_runtime": 12.4813, | |
| "eval_samples_per_second": 300.451, | |
| "eval_steps_per_second": 4.727, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 176.5719757080078, | |
| "learning_rate": 5e-05, | |
| "loss": 0.3183, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8661333333333333, | |
| "eval_loss": 0.4227029085159302, | |
| "eval_runtime": 12.7277, | |
| "eval_samples_per_second": 294.632, | |
| "eval_steps_per_second": 4.636, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 168.22218322753906, | |
| "learning_rate": 5e-05, | |
| "loss": 0.2498, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8733333333333333, | |
| "eval_loss": 0.406497061252594, | |
| "eval_runtime": 12.4254, | |
| "eval_samples_per_second": 301.802, | |
| "eval_steps_per_second": 4.748, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 119.15180206298828, | |
| "learning_rate": 5e-05, | |
| "loss": 0.2108, | |
| "step": 2664 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.876, | |
| "eval_loss": 0.4012466371059418, | |
| "eval_runtime": 12.4913, | |
| "eval_samples_per_second": 300.208, | |
| "eval_steps_per_second": 4.723, | |
| "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 | |
| } | |