| { | |
| "best_metric": 1.0867687463760376, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-12000", | |
| "epoch": 0.5704041720990873, | |
| "eval_steps": 1000, | |
| "global_step": 14000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.0, | |
| "learning_rate": 2.7777777777777777e-11, | |
| "loss": 1.0788, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.2063, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.32894211576846305, | |
| "eval_loss": 1.109653115272522, | |
| "eval_runtime": 50.6057, | |
| "eval_samples_per_second": 99.001, | |
| "eval_steps_per_second": 12.39, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1293, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.32994011976047904, | |
| "eval_loss": 1.1056402921676636, | |
| "eval_runtime": 50.7169, | |
| "eval_samples_per_second": 98.784, | |
| "eval_steps_per_second": 12.363, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1263, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3347305389221557, | |
| "eval_loss": 1.1063188314437866, | |
| "eval_runtime": 50.8081, | |
| "eval_samples_per_second": 98.606, | |
| "eval_steps_per_second": 12.341, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1211, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.34291417165668664, | |
| "eval_loss": 1.1010773181915283, | |
| "eval_runtime": 50.6469, | |
| "eval_samples_per_second": 98.92, | |
| "eval_steps_per_second": 12.38, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3883333333333335e-07, | |
| "loss": 1.1176, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3395209580838323, | |
| "eval_loss": 1.099412441253662, | |
| "eval_runtime": 50.7266, | |
| "eval_samples_per_second": 98.765, | |
| "eval_steps_per_second": 12.36, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1165, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3596806387225549, | |
| "eval_loss": 1.0983413457870483, | |
| "eval_runtime": 50.7493, | |
| "eval_samples_per_second": 98.721, | |
| "eval_steps_per_second": 12.355, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9436111111111112e-07, | |
| "loss": 1.1127, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.35768463073852297, | |
| "eval_loss": 1.094804048538208, | |
| "eval_runtime": 50.8322, | |
| "eval_samples_per_second": 98.56, | |
| "eval_steps_per_second": 12.335, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2213888888888891e-07, | |
| "loss": 1.1095, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.36407185628742517, | |
| "eval_loss": 1.0937609672546387, | |
| "eval_runtime": 50.8609, | |
| "eval_samples_per_second": 98.504, | |
| "eval_steps_per_second": 12.328, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.499166666666667e-07, | |
| "loss": 1.1074, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.34770459081836325, | |
| "eval_loss": 1.1025313138961792, | |
| "eval_runtime": 50.8052, | |
| "eval_samples_per_second": 98.612, | |
| "eval_steps_per_second": 12.341, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776666666666667e-07, | |
| "loss": 1.1065, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.38163672654690617, | |
| "eval_loss": 1.0920748710632324, | |
| "eval_runtime": 50.8964, | |
| "eval_samples_per_second": 98.435, | |
| "eval_steps_per_second": 12.319, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.054444444444444e-07, | |
| "loss": 1.1026, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.37944111776447104, | |
| "eval_loss": 1.0899525880813599, | |
| "eval_runtime": 50.6905, | |
| "eval_samples_per_second": 98.835, | |
| "eval_steps_per_second": 12.369, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3319444444444444e-07, | |
| "loss": 1.1016, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.4, | |
| "eval_loss": 1.0867687463760376, | |
| "eval_runtime": 50.8282, | |
| "eval_samples_per_second": 98.567, | |
| "eval_steps_per_second": 12.336, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.6094444444444446e-07, | |
| "loss": 1.0999, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.3467065868263473, | |
| "eval_loss": 1.0919947624206543, | |
| "eval_runtime": 50.7953, | |
| "eval_samples_per_second": 98.631, | |
| "eval_steps_per_second": 12.344, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.8872222222222223e-07, | |
| "loss": 1.0976, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.38003992015968063, | |
| "eval_loss": 1.0882444381713867, | |
| "eval_runtime": 50.8866, | |
| "eval_samples_per_second": 98.454, | |
| "eval_steps_per_second": 12.322, | |
| "step": 14000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 2.9264971825152e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |