| { | |
| "best_metric": 1.0343328714370728, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-33000", | |
| "epoch": 1.3445241199478488, | |
| "eval_steps": 1000, | |
| "global_step": 33000, | |
| "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": 1.1065, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "learning_rate": 2.7750000000000004e-08, | |
| "loss": 1.1586, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "eval_accuracy": 0.32954091816367265, | |
| "eval_loss": 1.1065887212753296, | |
| "eval_runtime": 54.4372, | |
| "eval_samples_per_second": 92.033, | |
| "eval_steps_per_second": 11.518, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "learning_rate": 5.5527777777777784e-08, | |
| "loss": 1.1259, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_accuracy": 0.3435129740518962, | |
| "eval_loss": 1.1045255661010742, | |
| "eval_runtime": 54.458, | |
| "eval_samples_per_second": 91.997, | |
| "eval_steps_per_second": 11.513, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "learning_rate": 8.327777777777778e-08, | |
| "loss": 1.1229, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "eval_accuracy": 0.3441117764471058, | |
| "eval_loss": 1.1050777435302734, | |
| "eval_runtime": 54.349, | |
| "eval_samples_per_second": 92.182, | |
| "eval_steps_per_second": 11.537, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "learning_rate": 1.1105555555555557e-07, | |
| "loss": 1.1237, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_accuracy": 0.3411177644710579, | |
| "eval_loss": 1.1015312671661377, | |
| "eval_runtime": 54.4388, | |
| "eval_samples_per_second": 92.03, | |
| "eval_steps_per_second": 11.518, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "learning_rate": 1.3883333333333335e-07, | |
| "loss": 1.1202, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "eval_accuracy": 0.3405189620758483, | |
| "eval_loss": 1.1006112098693848, | |
| "eval_runtime": 54.4109, | |
| "eval_samples_per_second": 92.077, | |
| "eval_steps_per_second": 11.523, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "learning_rate": 1.6658333333333335e-07, | |
| "loss": 1.1182, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_accuracy": 0.35489021956087824, | |
| "eval_loss": 1.0982259511947632, | |
| "eval_runtime": 54.3841, | |
| "eval_samples_per_second": 92.123, | |
| "eval_steps_per_second": 11.529, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "learning_rate": 1.9436111111111112e-07, | |
| "loss": 1.1125, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.29, | |
| "eval_accuracy": 0.35748502994011977, | |
| "eval_loss": 1.0954252481460571, | |
| "eval_runtime": 54.3975, | |
| "eval_samples_per_second": 92.1, | |
| "eval_steps_per_second": 11.526, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "learning_rate": 2.2213888888888891e-07, | |
| "loss": 1.1096, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.33, | |
| "eval_accuracy": 0.3664670658682635, | |
| "eval_loss": 1.0949230194091797, | |
| "eval_runtime": 54.3263, | |
| "eval_samples_per_second": 92.221, | |
| "eval_steps_per_second": 11.541, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "learning_rate": 2.4988888888888893e-07, | |
| "loss": 1.1057, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.37, | |
| "eval_accuracy": 0.34890219560878244, | |
| "eval_loss": 1.1037237644195557, | |
| "eval_runtime": 54.3657, | |
| "eval_samples_per_second": 92.154, | |
| "eval_steps_per_second": 11.533, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "learning_rate": 2.776666666666667e-07, | |
| "loss": 1.1056, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_accuracy": 0.3838323353293413, | |
| "eval_loss": 1.0928014516830444, | |
| "eval_runtime": 54.6518, | |
| "eval_samples_per_second": 91.671, | |
| "eval_steps_per_second": 11.473, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 3.054444444444444e-07, | |
| "loss": 1.1036, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "eval_accuracy": 0.3838323353293413, | |
| "eval_loss": 1.0908663272857666, | |
| "eval_runtime": 54.579, | |
| "eval_samples_per_second": 91.794, | |
| "eval_steps_per_second": 11.488, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "learning_rate": 3.3322222222222225e-07, | |
| "loss": 1.1012, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.49, | |
| "eval_accuracy": 0.3872255489021956, | |
| "eval_loss": 1.0890672206878662, | |
| "eval_runtime": 54.5139, | |
| "eval_samples_per_second": 91.903, | |
| "eval_steps_per_second": 11.502, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "learning_rate": 3.609722222222222e-07, | |
| "loss": 1.103, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_accuracy": 0.34311377245508984, | |
| "eval_loss": 1.0942790508270264, | |
| "eval_runtime": 54.3951, | |
| "eval_samples_per_second": 92.104, | |
| "eval_steps_per_second": 11.527, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "learning_rate": 3.8875e-07, | |
| "loss": 1.0997, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_accuracy": 0.3712574850299401, | |
| "eval_loss": 1.0931994915008545, | |
| "eval_runtime": 54.3749, | |
| "eval_samples_per_second": 92.138, | |
| "eval_steps_per_second": 11.531, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "learning_rate": 4.1650000000000006e-07, | |
| "loss": 1.0993, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.61, | |
| "eval_accuracy": 0.3872255489021956, | |
| "eval_loss": 1.0887969732284546, | |
| "eval_runtime": 54.4149, | |
| "eval_samples_per_second": 92.07, | |
| "eval_steps_per_second": 11.523, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "learning_rate": 4.4427777777777783e-07, | |
| "loss": 1.0983, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.65, | |
| "eval_accuracy": 0.3980039920159681, | |
| "eval_loss": 1.0836474895477295, | |
| "eval_runtime": 54.3692, | |
| "eval_samples_per_second": 92.148, | |
| "eval_steps_per_second": 11.532, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "learning_rate": 4.7202777777777785e-07, | |
| "loss": 1.0954, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_accuracy": 0.3996007984031936, | |
| "eval_loss": 1.0822749137878418, | |
| "eval_runtime": 54.3313, | |
| "eval_samples_per_second": 92.212, | |
| "eval_steps_per_second": 11.54, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "learning_rate": 4.998055555555556e-07, | |
| "loss": 1.097, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.73, | |
| "eval_accuracy": 0.4033932135728543, | |
| "eval_loss": 1.0845097303390503, | |
| "eval_runtime": 54.3565, | |
| "eval_samples_per_second": 92.169, | |
| "eval_steps_per_second": 11.535, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "learning_rate": 5.275555555555556e-07, | |
| "loss": 1.0942, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.77, | |
| "eval_accuracy": 0.4039920159680639, | |
| "eval_loss": 1.0809950828552246, | |
| "eval_runtime": 54.3973, | |
| "eval_samples_per_second": 92.1, | |
| "eval_steps_per_second": 11.526, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "learning_rate": 5.553333333333334e-07, | |
| "loss": 1.0921, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.81, | |
| "eval_accuracy": 0.4055888223552894, | |
| "eval_loss": 1.0818568468093872, | |
| "eval_runtime": 54.8395, | |
| "eval_samples_per_second": 91.358, | |
| "eval_steps_per_second": 11.433, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "learning_rate": 5.830833333333334e-07, | |
| "loss": 1.0914, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.86, | |
| "eval_accuracy": 0.38163672654690617, | |
| "eval_loss": 1.08183753490448, | |
| "eval_runtime": 54.4076, | |
| "eval_samples_per_second": 92.083, | |
| "eval_steps_per_second": 11.524, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "learning_rate": 6.108611111111111e-07, | |
| "loss": 1.091, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.9, | |
| "eval_accuracy": 0.40658682634730536, | |
| "eval_loss": 1.0757951736450195, | |
| "eval_runtime": 54.4113, | |
| "eval_samples_per_second": 92.077, | |
| "eval_steps_per_second": 11.523, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.386388888888889e-07, | |
| "loss": 1.0856, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.43313373253493015, | |
| "eval_loss": 1.0659974813461304, | |
| "eval_runtime": 54.3958, | |
| "eval_samples_per_second": 92.103, | |
| "eval_steps_per_second": 11.527, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.663888888888889e-07, | |
| "loss": 1.0794, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.43952095808383235, | |
| "eval_loss": 1.056550145149231, | |
| "eval_runtime": 54.6408, | |
| "eval_samples_per_second": 91.69, | |
| "eval_steps_per_second": 11.475, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.941666666666667e-07, | |
| "loss": 1.0714, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.4411177644710579, | |
| "eval_loss": 1.0531866550445557, | |
| "eval_runtime": 54.5122, | |
| "eval_samples_per_second": 91.906, | |
| "eval_steps_per_second": 11.502, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.219166666666666e-07, | |
| "loss": 1.0703, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.43273453093812375, | |
| "eval_loss": 1.0532232522964478, | |
| "eval_runtime": 54.5098, | |
| "eval_samples_per_second": 91.91, | |
| "eval_steps_per_second": 11.503, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.496944444444444e-07, | |
| "loss": 1.0682, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.4353293413173653, | |
| "eval_loss": 1.050220012664795, | |
| "eval_runtime": 54.3702, | |
| "eval_samples_per_second": 92.146, | |
| "eval_steps_per_second": 11.532, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.774444444444445e-07, | |
| "loss": 1.0671, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.43333333333333335, | |
| "eval_loss": 1.0470824241638184, | |
| "eval_runtime": 54.4316, | |
| "eval_samples_per_second": 92.042, | |
| "eval_steps_per_second": 11.519, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 8.052222222222223e-07, | |
| "loss": 1.0584, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.43972055888223555, | |
| "eval_loss": 1.0414146184921265, | |
| "eval_runtime": 54.4332, | |
| "eval_samples_per_second": 92.039, | |
| "eval_steps_per_second": 11.519, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 8.329722222222223e-07, | |
| "loss": 1.0593, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_accuracy": 0.4375249500998004, | |
| "eval_loss": 1.0382143259048462, | |
| "eval_runtime": 54.3397, | |
| "eval_samples_per_second": 92.198, | |
| "eval_steps_per_second": 11.539, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 8.607500000000001e-07, | |
| "loss": 1.0642, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.4367265469061876, | |
| "eval_loss": 1.043815016746521, | |
| "eval_runtime": 54.3991, | |
| "eval_samples_per_second": 92.097, | |
| "eval_steps_per_second": 11.526, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 8.885e-07, | |
| "loss": 1.0568, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_accuracy": 0.43253493013972055, | |
| "eval_loss": 1.040160059928894, | |
| "eval_runtime": 54.3558, | |
| "eval_samples_per_second": 92.171, | |
| "eval_steps_per_second": 11.535, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 9.162777777777779e-07, | |
| "loss": 1.0555, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "eval_accuracy": 0.4471057884231537, | |
| "eval_loss": 1.0343328714370728, | |
| "eval_runtime": 54.3506, | |
| "eval_samples_per_second": 92.179, | |
| "eval_steps_per_second": 11.536, | |
| "step": 33000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 6.89814580077527e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |