| { | |
| "best_metric": 1.0701513290405273, | |
| "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": 1.2358, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1519, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.3201596806387226, | |
| "eval_loss": 1.1120171546936035, | |
| "eval_runtime": 29.027, | |
| "eval_samples_per_second": 172.598, | |
| "eval_steps_per_second": 21.601, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.128, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.31796407185628744, | |
| "eval_loss": 1.108055830001831, | |
| "eval_runtime": 28.9944, | |
| "eval_samples_per_second": 172.792, | |
| "eval_steps_per_second": 21.625, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.122, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3345309381237525, | |
| "eval_loss": 1.1074285507202148, | |
| "eval_runtime": 28.9901, | |
| "eval_samples_per_second": 172.818, | |
| "eval_steps_per_second": 21.628, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1196, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.3337325349301397, | |
| "eval_loss": 1.1045424938201904, | |
| "eval_runtime": 28.9791, | |
| "eval_samples_per_second": 172.883, | |
| "eval_steps_per_second": 21.636, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3880555555555558e-07, | |
| "loss": 1.1169, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3397205588822355, | |
| "eval_loss": 1.1033179759979248, | |
| "eval_runtime": 29.0295, | |
| "eval_samples_per_second": 172.583, | |
| "eval_steps_per_second": 21.599, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.118, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.3401197604790419, | |
| "eval_loss": 1.1030455827713013, | |
| "eval_runtime": 28.9748, | |
| "eval_samples_per_second": 172.909, | |
| "eval_steps_per_second": 21.639, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9433333333333334e-07, | |
| "loss": 1.1135, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.35568862275449104, | |
| "eval_loss": 1.0998502969741821, | |
| "eval_runtime": 28.9964, | |
| "eval_samples_per_second": 172.78, | |
| "eval_steps_per_second": 21.623, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2211111111111114e-07, | |
| "loss": 1.1136, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.34510978043912177, | |
| "eval_loss": 1.098555564880371, | |
| "eval_runtime": 28.983, | |
| "eval_samples_per_second": 172.86, | |
| "eval_steps_per_second": 21.633, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4986111111111113e-07, | |
| "loss": 1.11, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.3411177644710579, | |
| "eval_loss": 1.1035741567611694, | |
| "eval_runtime": 28.9758, | |
| "eval_samples_per_second": 172.903, | |
| "eval_steps_per_second": 21.639, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776388888888889e-07, | |
| "loss": 1.1076, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.35788423153692617, | |
| "eval_loss": 1.0970662832260132, | |
| "eval_runtime": 29.0262, | |
| "eval_samples_per_second": 172.603, | |
| "eval_steps_per_second": 21.601, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.0541666666666667e-07, | |
| "loss": 1.1067, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.37425149700598803, | |
| "eval_loss": 1.094608187675476, | |
| "eval_runtime": 28.8738, | |
| "eval_samples_per_second": 173.513, | |
| "eval_steps_per_second": 21.715, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3319444444444444e-07, | |
| "loss": 1.1032, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.37924151696606784, | |
| "eval_loss": 1.092067837715149, | |
| "eval_runtime": 28.9514, | |
| "eval_samples_per_second": 173.049, | |
| "eval_steps_per_second": 21.657, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.6094444444444446e-07, | |
| "loss": 1.1052, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.3435129740518962, | |
| "eval_loss": 1.0962508916854858, | |
| "eval_runtime": 29.2203, | |
| "eval_samples_per_second": 171.456, | |
| "eval_steps_per_second": 21.458, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.8872222222222223e-07, | |
| "loss": 1.1015, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.36806387225548903, | |
| "eval_loss": 1.0941067934036255, | |
| "eval_runtime": 29.2088, | |
| "eval_samples_per_second": 171.524, | |
| "eval_steps_per_second": 21.466, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.1650000000000006e-07, | |
| "loss": 1.0986, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.3718562874251497, | |
| "eval_loss": 1.0906143188476562, | |
| "eval_runtime": 28.9463, | |
| "eval_samples_per_second": 173.079, | |
| "eval_steps_per_second": 21.661, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.4425e-07, | |
| "loss": 1.0984, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.38183632734530937, | |
| "eval_loss": 1.0862348079681396, | |
| "eval_runtime": 28.9909, | |
| "eval_samples_per_second": 172.813, | |
| "eval_steps_per_second": 21.627, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7202777777777785e-07, | |
| "loss": 1.0959, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.40079840319361276, | |
| "eval_loss": 1.0846956968307495, | |
| "eval_runtime": 28.9606, | |
| "eval_samples_per_second": 172.994, | |
| "eval_steps_per_second": 21.65, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.998055555555556e-07, | |
| "loss": 1.0965, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.4043912175648703, | |
| "eval_loss": 1.086153507232666, | |
| "eval_runtime": 28.8411, | |
| "eval_samples_per_second": 173.71, | |
| "eval_steps_per_second": 21.74, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275555555555556e-07, | |
| "loss": 1.0966, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.4041916167664671, | |
| "eval_loss": 1.0824861526489258, | |
| "eval_runtime": 28.9652, | |
| "eval_samples_per_second": 172.966, | |
| "eval_steps_per_second": 21.647, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.553333333333334e-07, | |
| "loss": 1.0943, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.4103792415169661, | |
| "eval_loss": 1.0817394256591797, | |
| "eval_runtime": 28.9548, | |
| "eval_samples_per_second": 173.028, | |
| "eval_steps_per_second": 21.654, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830833333333334e-07, | |
| "loss": 1.0898, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.41357285429141716, | |
| "eval_loss": 1.0764833688735962, | |
| "eval_runtime": 28.9932, | |
| "eval_samples_per_second": 172.799, | |
| "eval_steps_per_second": 21.626, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108611111111111e-07, | |
| "loss": 1.0877, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.4293413173652695, | |
| "eval_loss": 1.0701513290405273, | |
| "eval_runtime": 28.9628, | |
| "eval_samples_per_second": 172.98, | |
| "eval_steps_per_second": 21.648, | |
| "step": 22000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 2.2994529288192e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |