| { | |
| "best_metric": 0.26301252841949463, | |
| "best_model_checkpoint": "Deep-Fake-Detector-v2-Model/checkpoint-5252", | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 5252, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.19040365575019041, | |
| "grad_norm": 1.327303409576416, | |
| "learning_rate": 9.134948096885813e-07, | |
| "loss": 0.6732, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.38080731150038083, | |
| "grad_norm": 1.7751009464263916, | |
| "learning_rate": 8.173779315647827e-07, | |
| "loss": 0.5327, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.5712109672505712, | |
| "grad_norm": 1.6521474123001099, | |
| "learning_rate": 7.212610534409842e-07, | |
| "loss": 0.3786, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.7616146230007617, | |
| "grad_norm": 2.2782256603240967, | |
| "learning_rate": 6.251441753171857e-07, | |
| "loss": 0.2915, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.952018278750952, | |
| "grad_norm": 3.206688404083252, | |
| "learning_rate": 5.290272971933871e-07, | |
| "loss": 0.2514, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.9014303316012214, | |
| "eval_loss": 0.3288443684577942, | |
| "eval_model_preparation_time": 0.0045, | |
| "eval_runtime": 705.7746, | |
| "eval_samples_per_second": 79.347, | |
| "eval_steps_per_second": 9.92, | |
| "step": 2626 | |
| }, | |
| { | |
| "epoch": 1.1424219345011424, | |
| "grad_norm": 1.8252031803131104, | |
| "learning_rate": 4.329104190695886e-07, | |
| "loss": 0.2291, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.3328255902513328, | |
| "grad_norm": 1.8791033029556274, | |
| "learning_rate": 3.3679354094579007e-07, | |
| "loss": 0.2105, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.5232292460015233, | |
| "grad_norm": 3.629302978515625, | |
| "learning_rate": 2.4067666282199155e-07, | |
| "loss": 0.1987, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.7136329017517138, | |
| "grad_norm": 4.405089855194092, | |
| "learning_rate": 1.4455978469819298e-07, | |
| "loss": 0.1951, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.904036557501904, | |
| "grad_norm": 6.710102081298828, | |
| "learning_rate": 4.8442906574394464e-08, | |
| "loss": 0.1944, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.9211621221049624, | |
| "eval_loss": 0.26301252841949463, | |
| "eval_model_preparation_time": 0.0045, | |
| "eval_runtime": 705.6665, | |
| "eval_samples_per_second": 79.359, | |
| "eval_steps_per_second": 9.921, | |
| "step": 5252 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 5252, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 500, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 1.3018809239230685e+19, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |