| { | |
| "best_metric": 0.8501333333333333, | |
| "best_model_checkpoint": "./resnet_finetuned_models_dataset/CIFAR100/50_from_100/microsoft_resnet-101/model_idx_0143/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": 92.87234497070312, | |
| "learning_rate": 4.375e-05, | |
| "loss": 3.636, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5581333333333334, | |
| "eval_loss": 3.01126766204834, | |
| "eval_runtime": 7.1295, | |
| "eval_samples_per_second": 525.986, | |
| "eval_steps_per_second": 8.276, | |
| "step": 333 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 125.26459503173828, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 1.7342, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7506666666666667, | |
| "eval_loss": 0.9619526863098145, | |
| "eval_runtime": 7.0943, | |
| "eval_samples_per_second": 528.592, | |
| "eval_steps_per_second": 8.317, | |
| "step": 666 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 97.52526092529297, | |
| "learning_rate": 3.125e-05, | |
| "loss": 0.7874, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.8101333333333334, | |
| "eval_loss": 0.6372337341308594, | |
| "eval_runtime": 7.0971, | |
| "eval_samples_per_second": 528.388, | |
| "eval_steps_per_second": 8.313, | |
| "step": 999 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 100.095947265625, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.5734, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8328, | |
| "eval_loss": 0.5379827618598938, | |
| "eval_runtime": 7.0487, | |
| "eval_samples_per_second": 532.01, | |
| "eval_steps_per_second": 8.37, | |
| "step": 1332 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 143.8428192138672, | |
| "learning_rate": 1.8750000000000002e-05, | |
| "loss": 0.4756, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8413333333333334, | |
| "eval_loss": 0.5080221891403198, | |
| "eval_runtime": 7.0417, | |
| "eval_samples_per_second": 532.542, | |
| "eval_steps_per_second": 8.379, | |
| "step": 1665 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": 248.130615234375, | |
| "learning_rate": 1.25e-05, | |
| "loss": 0.4243, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8466666666666667, | |
| "eval_loss": 0.48436662554740906, | |
| "eval_runtime": 7.0332, | |
| "eval_samples_per_second": 533.184, | |
| "eval_steps_per_second": 8.389, | |
| "step": 1998 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 110.26295471191406, | |
| "learning_rate": 6.25e-06, | |
| "loss": 0.3867, | |
| "step": 2331 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.8501333333333333, | |
| "eval_loss": 0.4639977812767029, | |
| "eval_runtime": 7.0681, | |
| "eval_samples_per_second": 530.553, | |
| "eval_steps_per_second": 8.347, | |
| "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 | |
| } | |