| { | |
| "best_metric": 1.0, | |
| "best_model_checkpoint": "timesformer-base-finetuned-k400-finetuned-ucf101-subset/checkpoint-50", | |
| "epoch": 3.25, | |
| "eval_steps": 500, | |
| "global_step": 200, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05, | |
| "grad_norm": 14.361767768859863, | |
| "learning_rate": 2.5e-05, | |
| "loss": 2.3816, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.1, | |
| "grad_norm": 8.448980331420898, | |
| "learning_rate": 5e-05, | |
| "loss": 1.5686, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 7.0012526512146, | |
| "learning_rate": 4.722222222222222e-05, | |
| "loss": 0.6191, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 4.961479187011719, | |
| "learning_rate": 4.4444444444444447e-05, | |
| "loss": 0.3468, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 2.13403058052063, | |
| "learning_rate": 4.166666666666667e-05, | |
| "loss": 0.1523, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_accuracy": 1.0, | |
| "eval_loss": 0.07354684174060822, | |
| "eval_runtime": 34.9344, | |
| "eval_samples_per_second": 4.265, | |
| "eval_steps_per_second": 0.716, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 1.05, | |
| "grad_norm": 0.933645486831665, | |
| "learning_rate": 3.888888888888889e-05, | |
| "loss": 0.0521, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 0.865109920501709, | |
| "learning_rate": 3.611111111111111e-05, | |
| "loss": 0.0226, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 1.15, | |
| "grad_norm": 0.17869924008846283, | |
| "learning_rate": 3.3333333333333335e-05, | |
| "loss": 0.108, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.23531177639961243, | |
| "learning_rate": 3.055555555555556e-05, | |
| "loss": 0.0107, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 0.1640271246433258, | |
| "learning_rate": 2.777777777777778e-05, | |
| "loss": 0.024, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "eval_accuracy": 0.9865771812080537, | |
| "eval_loss": 0.046999599784612656, | |
| "eval_runtime": 32.3832, | |
| "eval_samples_per_second": 4.601, | |
| "eval_steps_per_second": 0.772, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "grad_norm": 0.47139155864715576, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.0056, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 2.1, | |
| "grad_norm": 0.11248086392879486, | |
| "learning_rate": 2.2222222222222223e-05, | |
| "loss": 0.0045, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 2.15, | |
| "grad_norm": 0.07324650138616562, | |
| "learning_rate": 1.9444444444444445e-05, | |
| "loss": 0.0042, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 2.2, | |
| "grad_norm": 0.46895766258239746, | |
| "learning_rate": 1.6666666666666667e-05, | |
| "loss": 0.0202, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "grad_norm": 0.048765964806079865, | |
| "learning_rate": 1.388888888888889e-05, | |
| "loss": 0.0583, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "eval_accuracy": 0.9865771812080537, | |
| "eval_loss": 0.030154313892126083, | |
| "eval_runtime": 32.7398, | |
| "eval_samples_per_second": 4.551, | |
| "eval_steps_per_second": 0.764, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 3.05, | |
| "grad_norm": 0.11046731472015381, | |
| "learning_rate": 1.1111111111111112e-05, | |
| "loss": 0.0032, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 3.1, | |
| "grad_norm": 0.07638247311115265, | |
| "learning_rate": 8.333333333333334e-06, | |
| "loss": 0.0027, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 3.15, | |
| "grad_norm": 0.0314478874206543, | |
| "learning_rate": 5.555555555555556e-06, | |
| "loss": 0.0053, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 3.2, | |
| "grad_norm": 0.23283490538597107, | |
| "learning_rate": 2.777777777777778e-06, | |
| "loss": 0.0032, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "grad_norm": 0.3815344274044037, | |
| "learning_rate": 0.0, | |
| "loss": 0.0036, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "eval_accuracy": 0.9865771812080537, | |
| "eval_loss": 0.02967873215675354, | |
| "eval_runtime": 32.6048, | |
| "eval_samples_per_second": 4.57, | |
| "eval_steps_per_second": 0.767, | |
| "step": 200 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 200, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 9223372036854775807, | |
| "save_steps": 500, | |
| "total_flos": 1.0514301109272576e+18, | |
| "train_batch_size": 6, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |