| { | |
| "best_metric": 1.093558430671692, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-8000", | |
| "epoch": 0.3666883963494133, | |
| "eval_steps": 1000, | |
| "global_step": 9000, | |
| "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": 1.2076, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1301, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3321357285429142, | |
| "eval_loss": 1.1047232151031494, | |
| "eval_runtime": 50.8344, | |
| "eval_samples_per_second": 98.555, | |
| "eval_steps_per_second": 12.334, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1286, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.3377245508982036, | |
| "eval_loss": 1.1038333177566528, | |
| "eval_runtime": 50.8114, | |
| "eval_samples_per_second": 98.6, | |
| "eval_steps_per_second": 12.34, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1214, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3409181636726547, | |
| "eval_loss": 1.103529930114746, | |
| "eval_runtime": 50.8258, | |
| "eval_samples_per_second": 98.572, | |
| "eval_steps_per_second": 12.336, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1249, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.3469061876247505, | |
| "eval_loss": 1.1000434160232544, | |
| "eval_runtime": 50.6414, | |
| "eval_samples_per_second": 98.931, | |
| "eval_steps_per_second": 12.381, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.1206, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.34171656686626745, | |
| "eval_loss": 1.0996097326278687, | |
| "eval_runtime": 50.6956, | |
| "eval_samples_per_second": 98.825, | |
| "eval_steps_per_second": 12.368, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1161, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3590818363273453, | |
| "eval_loss": 1.096977710723877, | |
| "eval_runtime": 50.5826, | |
| "eval_samples_per_second": 99.046, | |
| "eval_steps_per_second": 12.396, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.1138, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.3532934131736527, | |
| "eval_loss": 1.0949815511703491, | |
| "eval_runtime": 50.5604, | |
| "eval_samples_per_second": 99.089, | |
| "eval_steps_per_second": 12.401, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2211111111111114e-07, | |
| "loss": 1.1135, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.36327345309381237, | |
| "eval_loss": 1.093558430671692, | |
| "eval_runtime": 50.608, | |
| "eval_samples_per_second": 98.996, | |
| "eval_steps_per_second": 12.389, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4986111111111113e-07, | |
| "loss": 1.1063, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.35548902195608784, | |
| "eval_loss": 1.0992107391357422, | |
| "eval_runtime": 50.5434, | |
| "eval_samples_per_second": 99.123, | |
| "eval_steps_per_second": 12.405, | |
| "step": 9000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 1.8813196173312e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |