| { | |
| "best_metric": 0.7048410177230835, | |
| "best_model_checkpoint": "./output/clip-finetuned-csu-p14-336-e3l57-l/checkpoint-3500", | |
| "epoch": 0.6448047162859248, | |
| "eval_steps": 500, | |
| "global_step": 3500, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.09211495946941783, | |
| "grad_norm": 3.083087682723999, | |
| "learning_rate": 4.84647506755097e-07, | |
| "loss": 0.2708, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.09211495946941783, | |
| "eval_loss": 1.0631108283996582, | |
| "eval_runtime": 74.1964, | |
| "eval_samples_per_second": 16.268, | |
| "eval_steps_per_second": 2.035, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.18422991893883567, | |
| "grad_norm": 7.726487159729004, | |
| "learning_rate": 4.69295013510194e-07, | |
| "loss": 0.251, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.18422991893883567, | |
| "eval_loss": 0.942773699760437, | |
| "eval_runtime": 74.6047, | |
| "eval_samples_per_second": 16.179, | |
| "eval_steps_per_second": 2.024, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.2763448784082535, | |
| "grad_norm": 0.02718021161854267, | |
| "learning_rate": 4.5394252026529107e-07, | |
| "loss": 0.235, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.2763448784082535, | |
| "eval_loss": 0.8716810345649719, | |
| "eval_runtime": 75.03, | |
| "eval_samples_per_second": 16.087, | |
| "eval_steps_per_second": 2.013, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.36845983787767134, | |
| "grad_norm": 0.0001215290030813776, | |
| "learning_rate": 4.385900270203881e-07, | |
| "loss": 0.1529, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.36845983787767134, | |
| "eval_loss": 0.8318113088607788, | |
| "eval_runtime": 76.6917, | |
| "eval_samples_per_second": 15.738, | |
| "eval_steps_per_second": 1.969, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.46057479734708917, | |
| "grad_norm": 419.545166015625, | |
| "learning_rate": 4.232375337754851e-07, | |
| "loss": 0.1781, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.46057479734708917, | |
| "eval_loss": 0.7549223303794861, | |
| "eval_runtime": 75.2036, | |
| "eval_samples_per_second": 16.05, | |
| "eval_steps_per_second": 2.008, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.552689756816507, | |
| "grad_norm": 368.7484436035156, | |
| "learning_rate": 4.0788504053058217e-07, | |
| "loss": 0.1681, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.552689756816507, | |
| "eval_loss": 0.7217888236045837, | |
| "eval_runtime": 76.0606, | |
| "eval_samples_per_second": 15.869, | |
| "eval_steps_per_second": 1.985, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.6448047162859248, | |
| "grad_norm": 20.03949737548828, | |
| "learning_rate": 3.925325472856792e-07, | |
| "loss": 0.1064, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 0.6448047162859248, | |
| "eval_loss": 0.7048410177230835, | |
| "eval_runtime": 76.0578, | |
| "eval_samples_per_second": 15.87, | |
| "eval_steps_per_second": 1.985, | |
| "step": 3500 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 16284, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "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": 1259873746112520.0, | |
| "train_batch_size": 2, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |