| { | |
| "best_metric": 0.25371718406677246, | |
| "best_model_checkpoint": "/data/jcanete/all_results/pawsx/albeto_xxlarge/epochs_2_bs_16_lr_5e-6/checkpoint-2100", | |
| "epoch": 2.0, | |
| "global_step": 6176, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.1, | |
| "eval_accuracy": 0.609000027179718, | |
| "eval_loss": 0.6674321889877319, | |
| "eval_runtime": 16.3969, | |
| "eval_samples_per_second": 121.974, | |
| "eval_steps_per_second": 7.623, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 4.599255181347151e-06, | |
| "loss": 0.6462, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_accuracy": 0.8460000157356262, | |
| "eval_loss": 0.3770250976085663, | |
| "eval_runtime": 16.4044, | |
| "eval_samples_per_second": 121.918, | |
| "eval_steps_per_second": 7.62, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.8659999966621399, | |
| "eval_loss": 0.34182578325271606, | |
| "eval_runtime": 16.4066, | |
| "eval_samples_per_second": 121.903, | |
| "eval_steps_per_second": 7.619, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "learning_rate": 4.194462435233161e-06, | |
| "loss": 0.3074, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.39, | |
| "eval_accuracy": 0.890999972820282, | |
| "eval_loss": 0.3314864933490753, | |
| "eval_runtime": 16.4011, | |
| "eval_samples_per_second": 121.943, | |
| "eval_steps_per_second": 7.621, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.7896696891191716e-06, | |
| "loss": 0.2366, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.8884999752044678, | |
| "eval_loss": 0.2938086986541748, | |
| "eval_runtime": 16.3983, | |
| "eval_samples_per_second": 121.964, | |
| "eval_steps_per_second": 7.623, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.58, | |
| "eval_accuracy": 0.8974999785423279, | |
| "eval_loss": 0.2964068055152893, | |
| "eval_runtime": 16.4019, | |
| "eval_samples_per_second": 121.937, | |
| "eval_steps_per_second": 7.621, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 3.3856865284974094e-06, | |
| "loss": 0.2202, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "eval_accuracy": 0.9039999842643738, | |
| "eval_loss": 0.25371718406677246, | |
| "eval_runtime": 16.4082, | |
| "eval_samples_per_second": 121.891, | |
| "eval_steps_per_second": 7.618, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.78, | |
| "eval_accuracy": 0.9020000100135803, | |
| "eval_loss": 0.2744397819042206, | |
| "eval_runtime": 16.4021, | |
| "eval_samples_per_second": 121.936, | |
| "eval_steps_per_second": 7.621, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 2.98089378238342e-06, | |
| "loss": 0.2175, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.87, | |
| "eval_accuracy": 0.9070000052452087, | |
| "eval_loss": 0.31618574261665344, | |
| "eval_runtime": 16.4017, | |
| "eval_samples_per_second": 121.939, | |
| "eval_steps_per_second": 7.621, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "learning_rate": 2.5761010362694307e-06, | |
| "loss": 0.2036, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "eval_accuracy": 0.9049999713897705, | |
| "eval_loss": 0.32718589901924133, | |
| "eval_runtime": 16.408, | |
| "eval_samples_per_second": 121.891, | |
| "eval_steps_per_second": 7.618, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "eval_accuracy": 0.9004999995231628, | |
| "eval_loss": 0.36231866478919983, | |
| "eval_runtime": 16.4102, | |
| "eval_samples_per_second": 121.875, | |
| "eval_steps_per_second": 7.617, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "learning_rate": 2.1713082901554404e-06, | |
| "loss": 0.1545, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.17, | |
| "eval_accuracy": 0.8989999890327454, | |
| "eval_loss": 0.4374341368675232, | |
| "eval_runtime": 16.3991, | |
| "eval_samples_per_second": 121.958, | |
| "eval_steps_per_second": 7.622, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.906499981880188, | |
| "eval_loss": 0.36568117141723633, | |
| "eval_runtime": 16.4019, | |
| "eval_samples_per_second": 121.937, | |
| "eval_steps_per_second": 7.621, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 1.7665155440414508e-06, | |
| "loss": 0.1491, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "eval_accuracy": 0.9035000205039978, | |
| "eval_loss": 0.37311026453971863, | |
| "eval_runtime": 16.3997, | |
| "eval_samples_per_second": 121.954, | |
| "eval_steps_per_second": 7.622, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "learning_rate": 1.3617227979274613e-06, | |
| "loss": 0.1509, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.46, | |
| "eval_accuracy": 0.9020000100135803, | |
| "eval_loss": 0.4289727210998535, | |
| "eval_runtime": 16.4113, | |
| "eval_samples_per_second": 121.867, | |
| "eval_steps_per_second": 7.617, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_accuracy": 0.909500002861023, | |
| "eval_loss": 0.37183818221092224, | |
| "eval_runtime": 16.4021, | |
| "eval_samples_per_second": 121.935, | |
| "eval_steps_per_second": 7.621, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 1.62, | |
| "learning_rate": 9.569300518134715e-07, | |
| "loss": 0.1495, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.65, | |
| "eval_accuracy": 0.9100000262260437, | |
| "eval_loss": 0.42287707328796387, | |
| "eval_runtime": 16.3951, | |
| "eval_samples_per_second": 121.988, | |
| "eval_steps_per_second": 7.624, | |
| "step": 5100 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "eval_accuracy": 0.9054999947547913, | |
| "eval_loss": 0.4088725745677948, | |
| "eval_runtime": 16.4026, | |
| "eval_samples_per_second": 121.932, | |
| "eval_steps_per_second": 7.621, | |
| "step": 5400 | |
| }, | |
| { | |
| "epoch": 1.78, | |
| "learning_rate": 5.521373056994819e-07, | |
| "loss": 0.1339, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 1.85, | |
| "eval_accuracy": 0.9085000157356262, | |
| "eval_loss": 0.36614999175071716, | |
| "eval_runtime": 16.403, | |
| "eval_samples_per_second": 121.929, | |
| "eval_steps_per_second": 7.621, | |
| "step": 5700 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "learning_rate": 1.4734455958549224e-07, | |
| "loss": 0.1488, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 1.94, | |
| "eval_accuracy": 0.9104999899864197, | |
| "eval_loss": 0.36664167046546936, | |
| "eval_runtime": 16.4079, | |
| "eval_samples_per_second": 121.892, | |
| "eval_steps_per_second": 7.618, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 6176, | |
| "total_flos": 1.2074879173071936e+16, | |
| "train_loss": 0.2236284066976043, | |
| "train_runtime": 8006.2239, | |
| "train_samples_per_second": 12.341, | |
| "train_steps_per_second": 0.771 | |
| } | |
| ], | |
| "max_steps": 6176, | |
| "num_train_epochs": 2, | |
| "total_flos": 1.2074879173071936e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |