| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 15.0, | |
| "global_step": 19800, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.38, | |
| "learning_rate": 1.9494949494949496e-05, | |
| "loss": 4.4759, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "learning_rate": 1.8989898989898993e-05, | |
| "loss": 3.4666, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.5767824649810791, | |
| "eval_loss": 2.3355202674865723, | |
| "eval_runtime": 2.6806, | |
| "eval_samples_per_second": 408.112, | |
| "eval_steps_per_second": 51.107, | |
| "step": 1320 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 1.8484848484848487e-05, | |
| "loss": 2.6641, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 1.52, | |
| "learning_rate": 1.797979797979798e-05, | |
| "loss": 1.9312, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.89, | |
| "learning_rate": 1.7474747474747475e-05, | |
| "loss": 1.5293, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.8144423961639404, | |
| "eval_loss": 1.1118409633636475, | |
| "eval_runtime": 2.7222, | |
| "eval_samples_per_second": 401.874, | |
| "eval_steps_per_second": 50.326, | |
| "step": 2640 | |
| }, | |
| { | |
| "epoch": 2.27, | |
| "learning_rate": 1.6969696969696972e-05, | |
| "loss": 1.0511, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 2.65, | |
| "learning_rate": 1.6464646464646466e-05, | |
| "loss": 0.8031, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.880255937576294, | |
| "eval_loss": 0.6362389922142029, | |
| "eval_runtime": 2.657, | |
| "eval_samples_per_second": 411.738, | |
| "eval_steps_per_second": 51.561, | |
| "step": 3960 | |
| }, | |
| { | |
| "epoch": 3.03, | |
| "learning_rate": 1.595959595959596e-05, | |
| "loss": 0.5864, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 1.5454545454545454e-05, | |
| "loss": 0.3632, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 3.79, | |
| "learning_rate": 1.4949494949494952e-05, | |
| "loss": 0.2985, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8957952260971069, | |
| "eval_loss": 0.5118863582611084, | |
| "eval_runtime": 2.6864, | |
| "eval_samples_per_second": 407.231, | |
| "eval_steps_per_second": 50.997, | |
| "step": 5280 | |
| }, | |
| { | |
| "epoch": 4.17, | |
| "learning_rate": 1.4444444444444446e-05, | |
| "loss": 0.2188, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 1.3939393939393942e-05, | |
| "loss": 0.1478, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 4.92, | |
| "learning_rate": 1.3434343434343436e-05, | |
| "loss": 0.1284, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.8930529952049255, | |
| "eval_loss": 0.5023291707038879, | |
| "eval_runtime": 2.7918, | |
| "eval_samples_per_second": 391.858, | |
| "eval_steps_per_second": 49.072, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 5.3, | |
| "learning_rate": 1.2929292929292931e-05, | |
| "loss": 0.0608, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 5.68, | |
| "learning_rate": 1.2424242424242425e-05, | |
| "loss": 0.0842, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.9021937847137451, | |
| "eval_loss": 0.5246109962463379, | |
| "eval_runtime": 2.6464, | |
| "eval_samples_per_second": 413.391, | |
| "eval_steps_per_second": 51.768, | |
| "step": 7920 | |
| }, | |
| { | |
| "epoch": 6.06, | |
| "learning_rate": 1.191919191919192e-05, | |
| "loss": 0.064, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 6.44, | |
| "learning_rate": 1.1414141414141415e-05, | |
| "loss": 0.0461, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 6.82, | |
| "learning_rate": 1.0909090909090909e-05, | |
| "loss": 0.0414, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.9012796878814697, | |
| "eval_loss": 0.5580916404724121, | |
| "eval_runtime": 2.6062, | |
| "eval_samples_per_second": 419.767, | |
| "eval_steps_per_second": 52.567, | |
| "step": 9240 | |
| }, | |
| { | |
| "epoch": 7.2, | |
| "learning_rate": 1.0404040404040405e-05, | |
| "loss": 0.0476, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 7.58, | |
| "learning_rate": 9.8989898989899e-06, | |
| "loss": 0.0333, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 7.95, | |
| "learning_rate": 9.393939393939396e-06, | |
| "loss": 0.0372, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.9003656506538391, | |
| "eval_loss": 0.5721055269241333, | |
| "eval_runtime": 3.0748, | |
| "eval_samples_per_second": 355.794, | |
| "eval_steps_per_second": 44.556, | |
| "step": 10560 | |
| }, | |
| { | |
| "epoch": 8.33, | |
| "learning_rate": 8.888888888888888e-06, | |
| "loss": 0.0276, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 8.71, | |
| "learning_rate": 8.383838383838384e-06, | |
| "loss": 0.0292, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.9140768051147461, | |
| "eval_loss": 0.5468941926956177, | |
| "eval_runtime": 3.0391, | |
| "eval_samples_per_second": 359.977, | |
| "eval_steps_per_second": 45.079, | |
| "step": 11880 | |
| }, | |
| { | |
| "epoch": 9.09, | |
| "learning_rate": 7.87878787878788e-06, | |
| "loss": 0.0298, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 9.47, | |
| "learning_rate": 7.373737373737374e-06, | |
| "loss": 0.0209, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 9.85, | |
| "learning_rate": 6.868686868686869e-06, | |
| "loss": 0.0257, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.9058501124382019, | |
| "eval_loss": 0.5871404409408569, | |
| "eval_runtime": 2.8242, | |
| "eval_samples_per_second": 387.373, | |
| "eval_steps_per_second": 48.51, | |
| "step": 13200 | |
| }, | |
| { | |
| "epoch": 10.23, | |
| "learning_rate": 6.363636363636364e-06, | |
| "loss": 0.0205, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 10.61, | |
| "learning_rate": 5.858585858585859e-06, | |
| "loss": 0.0145, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 10.98, | |
| "learning_rate": 5.353535353535354e-06, | |
| "loss": 0.0189, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.9049360156059265, | |
| "eval_loss": 0.6180957555770874, | |
| "eval_runtime": 2.9518, | |
| "eval_samples_per_second": 370.627, | |
| "eval_steps_per_second": 46.413, | |
| "step": 14520 | |
| }, | |
| { | |
| "epoch": 11.36, | |
| "learning_rate": 4.848484848484849e-06, | |
| "loss": 0.0117, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 11.74, | |
| "learning_rate": 4.343434343434344e-06, | |
| "loss": 0.0104, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.9067641496658325, | |
| "eval_loss": 0.618419349193573, | |
| "eval_runtime": 2.8761, | |
| "eval_samples_per_second": 380.381, | |
| "eval_steps_per_second": 47.635, | |
| "step": 15840 | |
| }, | |
| { | |
| "epoch": 12.12, | |
| "learning_rate": 3.8383838383838385e-06, | |
| "loss": 0.0155, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 3.3333333333333333e-06, | |
| "loss": 0.0087, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 12.88, | |
| "learning_rate": 2.8282828282828286e-06, | |
| "loss": 0.009, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.9049360156059265, | |
| "eval_loss": 0.6013244986534119, | |
| "eval_runtime": 2.7727, | |
| "eval_samples_per_second": 394.554, | |
| "eval_steps_per_second": 49.409, | |
| "step": 17160 | |
| }, | |
| { | |
| "epoch": 13.26, | |
| "learning_rate": 2.3232323232323234e-06, | |
| "loss": 0.0078, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 13.64, | |
| "learning_rate": 1.8181818181818183e-06, | |
| "loss": 0.0051, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.9058501124382019, | |
| "eval_loss": 0.620483934879303, | |
| "eval_runtime": 3.0663, | |
| "eval_samples_per_second": 356.786, | |
| "eval_steps_per_second": 44.68, | |
| "step": 18480 | |
| }, | |
| { | |
| "epoch": 14.02, | |
| "learning_rate": 1.3131313131313134e-06, | |
| "loss": 0.0091, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 14.39, | |
| "learning_rate": 8.080808080808082e-07, | |
| "loss": 0.0046, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 14.77, | |
| "learning_rate": 3.0303030303030305e-07, | |
| "loss": 0.0035, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "eval_accuracy": 0.9067641496658325, | |
| "eval_loss": 0.6223405599594116, | |
| "eval_runtime": 3.0619, | |
| "eval_samples_per_second": 357.298, | |
| "eval_steps_per_second": 44.744, | |
| "step": 19800 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "step": 19800, | |
| "total_flos": 5215995096399360.0, | |
| "train_loss": 0.4635289347472817, | |
| "train_runtime": 2578.0344, | |
| "train_samples_per_second": 61.419, | |
| "train_steps_per_second": 7.68 | |
| } | |
| ], | |
| "max_steps": 19800, | |
| "num_train_epochs": 15, | |
| "total_flos": 5215995096399360.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |