| { | |
| "best_metric": 0.8297674418604651, | |
| "best_model_checkpoint": "video/train/checkpoint/videomae-base/ucf101_42/checkpoint-5700", | |
| "epoch": 19.871751886001675, | |
| "eval_steps": 500, | |
| "global_step": 5960, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.01, | |
| "eval_accuracy": 0.4886511627906977, | |
| "eval_loss": 2.334453582763672, | |
| "eval_runtime": 390.4063, | |
| "eval_samples_per_second": 9.69, | |
| "eval_steps_per_second": 0.154, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 2.01, | |
| "eval_accuracy": 0.6433488372093024, | |
| "eval_loss": 1.4956246614456177, | |
| "eval_runtime": 378.3625, | |
| "eval_samples_per_second": 9.998, | |
| "eval_steps_per_second": 0.159, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 3.01, | |
| "eval_accuracy": 0.7161860465116279, | |
| "eval_loss": 1.1646597385406494, | |
| "eval_runtime": 374.5393, | |
| "eval_samples_per_second": 10.1, | |
| "eval_steps_per_second": 0.16, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 3.34, | |
| "grad_norm": 6.9290690422058105, | |
| "learning_rate": 4.161073825503356e-05, | |
| "loss": 1.5784, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 4.01, | |
| "eval_accuracy": 0.7028837209302325, | |
| "eval_loss": 1.1531013250350952, | |
| "eval_runtime": 376.3709, | |
| "eval_samples_per_second": 10.051, | |
| "eval_steps_per_second": 0.159, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 5.01, | |
| "eval_accuracy": 0.7333953488372092, | |
| "eval_loss": 1.0251258611679077, | |
| "eval_runtime": 377.2789, | |
| "eval_samples_per_second": 10.027, | |
| "eval_steps_per_second": 0.159, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 6.01, | |
| "eval_accuracy": 0.7333023255813953, | |
| "eval_loss": 1.031457781791687, | |
| "eval_runtime": 376.6891, | |
| "eval_samples_per_second": 10.043, | |
| "eval_steps_per_second": 0.159, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 6.67, | |
| "grad_norm": 7.911869049072266, | |
| "learning_rate": 3.3221476510067115e-05, | |
| "loss": 0.1821, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 7.01, | |
| "eval_accuracy": 0.7616744186046511, | |
| "eval_loss": 0.9787126779556274, | |
| "eval_runtime": 379.965, | |
| "eval_samples_per_second": 9.956, | |
| "eval_steps_per_second": 0.158, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 8.01, | |
| "eval_accuracy": 0.7838139534883721, | |
| "eval_loss": 0.8932655453681946, | |
| "eval_runtime": 375.8521, | |
| "eval_samples_per_second": 10.065, | |
| "eval_steps_per_second": 0.16, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 9.01, | |
| "eval_accuracy": 0.7917209302325582, | |
| "eval_loss": 0.8780561089515686, | |
| "eval_runtime": 373.4872, | |
| "eval_samples_per_second": 10.129, | |
| "eval_steps_per_second": 0.161, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 10.01, | |
| "grad_norm": 0.12537457048892975, | |
| "learning_rate": 2.4832214765100674e-05, | |
| "loss": 0.0651, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 10.01, | |
| "eval_accuracy": 0.7909767441860465, | |
| "eval_loss": 0.9051322937011719, | |
| "eval_runtime": 375.6037, | |
| "eval_samples_per_second": 10.072, | |
| "eval_steps_per_second": 0.16, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 11.01, | |
| "eval_accuracy": 0.790046511627907, | |
| "eval_loss": 0.9593069553375244, | |
| "eval_runtime": 375.7576, | |
| "eval_samples_per_second": 10.068, | |
| "eval_steps_per_second": 0.16, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 12.01, | |
| "eval_accuracy": 0.8186976744186046, | |
| "eval_loss": 0.8053779602050781, | |
| "eval_runtime": 377.8682, | |
| "eval_samples_per_second": 10.011, | |
| "eval_steps_per_second": 0.159, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 13.01, | |
| "eval_accuracy": 0.8142325581395349, | |
| "eval_loss": 0.8678916692733765, | |
| "eval_runtime": 376.9615, | |
| "eval_samples_per_second": 10.036, | |
| "eval_steps_per_second": 0.159, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 13.34, | |
| "grad_norm": 10.020633697509766, | |
| "learning_rate": 1.644295302013423e-05, | |
| "loss": 0.0265, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 14.01, | |
| "eval_accuracy": 0.8208372093023256, | |
| "eval_loss": 0.8379742503166199, | |
| "eval_runtime": 373.9706, | |
| "eval_samples_per_second": 10.116, | |
| "eval_steps_per_second": 0.16, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 15.01, | |
| "eval_accuracy": 0.8246511627906977, | |
| "eval_loss": 0.8317446708679199, | |
| "eval_runtime": 375.9164, | |
| "eval_samples_per_second": 10.063, | |
| "eval_steps_per_second": 0.16, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 16.01, | |
| "eval_accuracy": 0.8249302325581396, | |
| "eval_loss": 0.8027446269989014, | |
| "eval_runtime": 375.7325, | |
| "eval_samples_per_second": 10.068, | |
| "eval_steps_per_second": 0.16, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "grad_norm": 0.026239760220050812, | |
| "learning_rate": 8.053691275167785e-06, | |
| "loss": 0.0091, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 17.01, | |
| "eval_accuracy": 0.8254883720930233, | |
| "eval_loss": 0.8239758610725403, | |
| "eval_runtime": 375.8655, | |
| "eval_samples_per_second": 10.065, | |
| "eval_steps_per_second": 0.16, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 18.01, | |
| "eval_accuracy": 0.8211162790697675, | |
| "eval_loss": 0.8480401039123535, | |
| "eval_runtime": 375.7779, | |
| "eval_samples_per_second": 10.067, | |
| "eval_steps_per_second": 0.16, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 19.01, | |
| "eval_accuracy": 0.8297674418604651, | |
| "eval_loss": 0.8198431134223938, | |
| "eval_runtime": 372.9411, | |
| "eval_samples_per_second": 10.144, | |
| "eval_steps_per_second": 0.161, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 19.87, | |
| "eval_accuracy": 0.8282790697674418, | |
| "eval_loss": 0.8315407037734985, | |
| "eval_runtime": 376.729, | |
| "eval_samples_per_second": 10.042, | |
| "eval_steps_per_second": 0.159, | |
| "step": 5960 | |
| }, | |
| { | |
| "epoch": 19.87, | |
| "step": 5960, | |
| "total_flos": 2.3636640203347614e+20, | |
| "train_loss": 0.3129509675422771, | |
| "train_runtime": 26481.3321, | |
| "train_samples_per_second": 7.203, | |
| "train_steps_per_second": 0.225 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 5960, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "total_flos": 2.3636640203347614e+20, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |