| { | |
| "best_metric": 1.0576634407043457, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-22000", | |
| "epoch": 0.8963494132985659, | |
| "eval_steps": 1000, | |
| "global_step": 22000, | |
| "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": 1.029, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7638888888888893e-08, | |
| "loss": 1.181, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3273453093812375, | |
| "eval_loss": 1.1529844999313354, | |
| "eval_runtime": 54.2837, | |
| "eval_samples_per_second": 92.293, | |
| "eval_steps_per_second": 11.55, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.541666666666667e-08, | |
| "loss": 1.1527, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.33013972055888224, | |
| "eval_loss": 1.1351025104522705, | |
| "eval_runtime": 54.0518, | |
| "eval_samples_per_second": 92.689, | |
| "eval_steps_per_second": 11.6, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.316666666666666e-08, | |
| "loss": 1.142, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3317365269461078, | |
| "eval_loss": 1.127414345741272, | |
| "eval_runtime": 54.0871, | |
| "eval_samples_per_second": 92.628, | |
| "eval_steps_per_second": 11.592, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1091666666666668e-07, | |
| "loss": 1.1371, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.331936127744511, | |
| "eval_loss": 1.1194497346878052, | |
| "eval_runtime": 54.3907, | |
| "eval_samples_per_second": 92.111, | |
| "eval_steps_per_second": 11.528, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3869444444444447e-07, | |
| "loss": 1.1246, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3345309381237525, | |
| "eval_loss": 1.1131775379180908, | |
| "eval_runtime": 54.3492, | |
| "eval_samples_per_second": 92.182, | |
| "eval_steps_per_second": 11.537, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.664722222222222e-07, | |
| "loss": 1.1201, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.34151696606786425, | |
| "eval_loss": 1.1093512773513794, | |
| "eval_runtime": 54.3536, | |
| "eval_samples_per_second": 92.174, | |
| "eval_steps_per_second": 11.536, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9425e-07, | |
| "loss": 1.115, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.34510978043912177, | |
| "eval_loss": 1.1066845655441284, | |
| "eval_runtime": 53.9977, | |
| "eval_samples_per_second": 92.782, | |
| "eval_steps_per_second": 11.612, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2202777777777778e-07, | |
| "loss": 1.1125, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.3449101796407186, | |
| "eval_loss": 1.1031057834625244, | |
| "eval_runtime": 54.2562, | |
| "eval_samples_per_second": 92.34, | |
| "eval_steps_per_second": 11.556, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.498055555555556e-07, | |
| "loss": 1.1072, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.34870259481037924, | |
| "eval_loss": 1.1044224500656128, | |
| "eval_runtime": 54.0795, | |
| "eval_samples_per_second": 92.641, | |
| "eval_steps_per_second": 11.594, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.7755555555555554e-07, | |
| "loss": 1.1064, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.3499001996007984, | |
| "eval_loss": 1.1001031398773193, | |
| "eval_runtime": 54.0869, | |
| "eval_samples_per_second": 92.629, | |
| "eval_steps_per_second": 11.592, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.053333333333333e-07, | |
| "loss": 1.1053, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.36087824351297404, | |
| "eval_loss": 1.0987293720245361, | |
| "eval_runtime": 53.9688, | |
| "eval_samples_per_second": 92.831, | |
| "eval_steps_per_second": 11.618, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3311111111111114e-07, | |
| "loss": 1.104, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.3594810379241517, | |
| "eval_loss": 1.0968631505966187, | |
| "eval_runtime": 54.0936, | |
| "eval_samples_per_second": 92.617, | |
| "eval_steps_per_second": 11.591, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.608888888888889e-07, | |
| "loss": 1.1022, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.36087824351297404, | |
| "eval_loss": 1.0962979793548584, | |
| "eval_runtime": 54.0403, | |
| "eval_samples_per_second": 92.709, | |
| "eval_steps_per_second": 11.602, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.886666666666667e-07, | |
| "loss": 1.1029, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.3528942115768463, | |
| "eval_loss": 1.0987964868545532, | |
| "eval_runtime": 54.06, | |
| "eval_samples_per_second": 92.675, | |
| "eval_steps_per_second": 11.598, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.163611111111111e-07, | |
| "loss": 1.1011, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.36926147704590817, | |
| "eval_loss": 1.0941977500915527, | |
| "eval_runtime": 54.0807, | |
| "eval_samples_per_second": 92.639, | |
| "eval_steps_per_second": 11.594, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.441388888888889e-07, | |
| "loss": 1.1004, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.36866267465069863, | |
| "eval_loss": 1.093828558921814, | |
| "eval_runtime": 54.2208, | |
| "eval_samples_per_second": 92.4, | |
| "eval_steps_per_second": 11.564, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.719166666666667e-07, | |
| "loss": 1.0994, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.36726546906187624, | |
| "eval_loss": 1.093470811843872, | |
| "eval_runtime": 54.2584, | |
| "eval_samples_per_second": 92.336, | |
| "eval_steps_per_second": 11.556, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.996944444444445e-07, | |
| "loss": 1.0993, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.36327345309381237, | |
| "eval_loss": 1.0935499668121338, | |
| "eval_runtime": 54.0554, | |
| "eval_samples_per_second": 92.683, | |
| "eval_steps_per_second": 11.599, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.274722222222222e-07, | |
| "loss": 1.0981, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.38682634730538923, | |
| "eval_loss": 1.089295506477356, | |
| "eval_runtime": 54.0761, | |
| "eval_samples_per_second": 92.647, | |
| "eval_steps_per_second": 11.595, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.5525e-07, | |
| "loss": 1.0979, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.4167664670658683, | |
| "eval_loss": 1.084443211555481, | |
| "eval_runtime": 54.0394, | |
| "eval_samples_per_second": 92.71, | |
| "eval_steps_per_second": 11.603, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830000000000001e-07, | |
| "loss": 1.0946, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.4285429141716567, | |
| "eval_loss": 1.073406457901001, | |
| "eval_runtime": 54.1561, | |
| "eval_samples_per_second": 92.51, | |
| "eval_steps_per_second": 11.578, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.107777777777778e-07, | |
| "loss": 1.0882, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.4413173652694611, | |
| "eval_loss": 1.0576634407043457, | |
| "eval_runtime": 53.9715, | |
| "eval_samples_per_second": 92.827, | |
| "eval_steps_per_second": 11.617, | |
| "step": 22000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 4.5987812868096e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |