| { | |
| "best_metric": 1.1997283697128296, | |
| "best_model_checkpoint": "facial_age_image_detection/checkpoint-4560", | |
| "epoch": 19.0, | |
| "eval_steps": 500, | |
| "global_step": 4560, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5973023164891017, | |
| "eval_loss": 1.2148407697677612, | |
| "eval_runtime": 107.0191, | |
| "eval_samples_per_second": 95.6, | |
| "eval_steps_per_second": 2.99, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.6003323233310527, | |
| "eval_loss": 1.2124874591827393, | |
| "eval_runtime": 108.7931, | |
| "eval_samples_per_second": 94.041, | |
| "eval_steps_per_second": 2.941, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 2.08, | |
| "grad_norm": 10.869218826293945, | |
| "learning_rate": 4.526315789473684e-07, | |
| "loss": 0.7792, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.6001368390186688, | |
| "eval_loss": 1.2103016376495361, | |
| "eval_runtime": 108.2046, | |
| "eval_samples_per_second": 94.552, | |
| "eval_steps_per_second": 2.957, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.5932948880852311, | |
| "eval_loss": 1.2177255153656006, | |
| "eval_runtime": 108.1913, | |
| "eval_samples_per_second": 94.564, | |
| "eval_steps_per_second": 2.958, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "grad_norm": 7.94642972946167, | |
| "learning_rate": 4e-07, | |
| "loss": 0.7693, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.5987684488319812, | |
| "eval_loss": 1.2087459564208984, | |
| "eval_runtime": 108.1422, | |
| "eval_samples_per_second": 94.607, | |
| "eval_steps_per_second": 2.959, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.5989639331443651, | |
| "eval_loss": 1.2106623649597168, | |
| "eval_runtime": 108.6434, | |
| "eval_samples_per_second": 94.17, | |
| "eval_steps_per_second": 2.945, | |
| "step": 1440 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "grad_norm": 12.206405639648438, | |
| "learning_rate": 3.4736842105263157e-07, | |
| "loss": 0.7579, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.5941745674909589, | |
| "eval_loss": 1.2116234302520752, | |
| "eval_runtime": 110.2341, | |
| "eval_samples_per_second": 92.812, | |
| "eval_steps_per_second": 2.903, | |
| "step": 1680 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.596520379239566, | |
| "eval_loss": 1.209428071975708, | |
| "eval_runtime": 109.2117, | |
| "eval_samples_per_second": 93.68, | |
| "eval_steps_per_second": 2.93, | |
| "step": 1920 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "grad_norm": 13.978309631347656, | |
| "learning_rate": 2.947368421052631e-07, | |
| "loss": 0.7564, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.5945655361157267, | |
| "eval_loss": 1.207972764968872, | |
| "eval_runtime": 109.0595, | |
| "eval_samples_per_second": 93.811, | |
| "eval_steps_per_second": 2.934, | |
| "step": 2160 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.5972045743329097, | |
| "eval_loss": 1.2053894996643066, | |
| "eval_runtime": 108.2001, | |
| "eval_samples_per_second": 94.556, | |
| "eval_steps_per_second": 2.957, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 10.42, | |
| "grad_norm": 13.184745788574219, | |
| "learning_rate": 2.4210526315789473e-07, | |
| "loss": 0.7462, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.596520379239566, | |
| "eval_loss": 1.2063862085342407, | |
| "eval_runtime": 109.0351, | |
| "eval_samples_per_second": 93.832, | |
| "eval_steps_per_second": 2.935, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.5967158635519499, | |
| "eval_loss": 1.205006718635559, | |
| "eval_runtime": 107.7737, | |
| "eval_samples_per_second": 94.93, | |
| "eval_steps_per_second": 2.969, | |
| "step": 2880 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "grad_norm": 13.500107765197754, | |
| "learning_rate": 1.8947368421052632e-07, | |
| "loss": 0.7444, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.5974000586452937, | |
| "eval_loss": 1.2029664516448975, | |
| "eval_runtime": 108.3584, | |
| "eval_samples_per_second": 94.418, | |
| "eval_steps_per_second": 2.953, | |
| "step": 3120 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.5982797380510214, | |
| "eval_loss": 1.2019948959350586, | |
| "eval_runtime": 108.2177, | |
| "eval_samples_per_second": 94.541, | |
| "eval_steps_per_second": 2.957, | |
| "step": 3360 | |
| }, | |
| { | |
| "epoch": 14.58, | |
| "grad_norm": 12.818633079528809, | |
| "learning_rate": 1.368421052631579e-07, | |
| "loss": 0.7402, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.5969113478643339, | |
| "eval_loss": 1.2034169435501099, | |
| "eval_runtime": 107.9426, | |
| "eval_samples_per_second": 94.782, | |
| "eval_steps_per_second": 2.965, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.5980842537386375, | |
| "eval_loss": 1.2004482746124268, | |
| "eval_runtime": 108.7494, | |
| "eval_samples_per_second": 94.079, | |
| "eval_steps_per_second": 2.943, | |
| "step": 3840 | |
| }, | |
| { | |
| "epoch": 16.67, | |
| "grad_norm": 10.575230598449707, | |
| "learning_rate": 8.421052631578947e-08, | |
| "loss": 0.7357, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 17.0, | |
| "eval_accuracy": 0.5988661909881732, | |
| "eval_loss": 1.2010480165481567, | |
| "eval_runtime": 108.3609, | |
| "eval_samples_per_second": 94.416, | |
| "eval_steps_per_second": 2.953, | |
| "step": 4080 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.5970090900205258, | |
| "eval_loss": 1.2006783485412598, | |
| "eval_runtime": 108.1842, | |
| "eval_samples_per_second": 94.57, | |
| "eval_steps_per_second": 2.958, | |
| "step": 4320 | |
| }, | |
| { | |
| "epoch": 18.75, | |
| "grad_norm": 10.900801658630371, | |
| "learning_rate": 3.157894736842105e-08, | |
| "loss": 0.7376, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 19.0, | |
| "eval_accuracy": 0.5974000586452937, | |
| "eval_loss": 1.1997283697128296, | |
| "eval_runtime": 108.4624, | |
| "eval_samples_per_second": 94.328, | |
| "eval_steps_per_second": 2.95, | |
| "step": 4560 | |
| } | |
| ], | |
| "logging_steps": 500, | |
| "max_steps": 4800, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 20, | |
| "save_steps": 500, | |
| "total_flos": 2.2597429437571006e+19, | |
| "train_batch_size": 64, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |