| { | |
| "best_metric": 0.8901333333333333, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0887/checkpoints/checkpoint-2331", | |
| "epoch": 7.0, | |
| "eval_steps": 500, | |
| "global_step": 2331, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 115.39852905273438, | |
| "learning_rate": 8.75e-05, | |
| "loss": 2.6958, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7424, | |
| "eval_loss": 0.9329473376274109, | |
| "eval_runtime": 8.116, | |
| "eval_samples_per_second": 462.053, | |
| "eval_steps_per_second": 7.27, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 166.97422790527344, | |
| "learning_rate": 7.500000000000001e-05, | |
| "loss": 0.6981, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8453333333333334, | |
| "eval_loss": 0.5381203293800354, | |
| "eval_runtime": 8.0083, | |
| "eval_samples_per_second": 468.264, | |
| "eval_steps_per_second": 7.367, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 64.7828598022461, | |
| "learning_rate": 6.25e-05, | |
| "loss": 0.4118, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8608, | |
| "eval_loss": 0.4497877359390259, | |
| "eval_runtime": 8.0456, | |
| "eval_samples_per_second": 466.091, | |
| "eval_steps_per_second": 7.333, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 108.96895599365234, | |
| "learning_rate": 5e-05, | |
| "loss": 0.276, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8757333333333334, | |
| "eval_loss": 0.4111157953739166, | |
| "eval_runtime": 9.394, | |
| "eval_samples_per_second": 399.192, | |
| "eval_steps_per_second": 6.281, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 101.89673614501953, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.1943, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8861333333333333, | |
| "eval_loss": 0.392296701669693, | |
| "eval_runtime": 8.0356, | |
| "eval_samples_per_second": 466.671, | |
| "eval_steps_per_second": 7.342, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 80.19306945800781, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.1483, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8882666666666666, | |
| "eval_loss": 0.38535526394844055, | |
| "eval_runtime": 7.8902, | |
| "eval_samples_per_second": 475.274, | |
| "eval_steps_per_second": 7.478, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 192.78701782226562, | |
| "learning_rate": 1.25e-05, | |
| "loss": 0.1195, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8901333333333333, | |
| "eval_loss": 0.37588655948638916, | |
| "eval_runtime": 8.0691, | |
| "eval_samples_per_second": 464.734, | |
| "eval_steps_per_second": 7.312, | |
| "step": 2331 | |
| } | |
| ], | |
| "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": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 5.7235004676864e+18, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |