| { | |
| "best_metric": 1.0034514665603638, | |
| "best_model_checkpoint": "/kaggle/output/checkpoint-40000", | |
| "epoch": 1.6297262059973925, | |
| "eval_steps": 1000, | |
| "global_step": 40000, | |
| "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 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "learning_rate": 6.385277777777778e-07, | |
| "loss": 1.0811, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_accuracy": 0.4377245508982036, | |
| "eval_loss": 1.063384771347046, | |
| "eval_runtime": 54.4655, | |
| "eval_samples_per_second": 91.985, | |
| "eval_steps_per_second": 11.512, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "learning_rate": 6.662777777777778e-07, | |
| "loss": 1.0773, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 0.98, | |
| "eval_accuracy": 0.4347305389221557, | |
| "eval_loss": 1.065600037574768, | |
| "eval_runtime": 54.0545, | |
| "eval_samples_per_second": 92.684, | |
| "eval_steps_per_second": 11.599, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "learning_rate": 6.940555555555557e-07, | |
| "loss": 1.0749, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.02, | |
| "eval_accuracy": 0.4499001996007984, | |
| "eval_loss": 1.0491468906402588, | |
| "eval_runtime": 53.9397, | |
| "eval_samples_per_second": 92.882, | |
| "eval_steps_per_second": 11.624, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "learning_rate": 7.218055555555556e-07, | |
| "loss": 1.0687, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.06, | |
| "eval_accuracy": 0.44471057884231535, | |
| "eval_loss": 1.0531450510025024, | |
| "eval_runtime": 53.996, | |
| "eval_samples_per_second": 92.785, | |
| "eval_steps_per_second": 11.612, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "learning_rate": 7.495833333333334e-07, | |
| "loss": 1.07, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_accuracy": 0.4475049900199601, | |
| "eval_loss": 1.0514291524887085, | |
| "eval_runtime": 54.0862, | |
| "eval_samples_per_second": 92.63, | |
| "eval_steps_per_second": 11.593, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 7.773611111111112e-07, | |
| "loss": 1.0619, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "eval_accuracy": 0.4483033932135729, | |
| "eval_loss": 1.0422637462615967, | |
| "eval_runtime": 54.3061, | |
| "eval_samples_per_second": 92.255, | |
| "eval_steps_per_second": 11.546, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "learning_rate": 8.051388888888889e-07, | |
| "loss": 1.0586, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.18, | |
| "eval_accuracy": 0.4544910179640719, | |
| "eval_loss": 1.0364656448364258, | |
| "eval_runtime": 54.1221, | |
| "eval_samples_per_second": 92.568, | |
| "eval_steps_per_second": 11.585, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "learning_rate": 8.32888888888889e-07, | |
| "loss": 1.0571, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.22, | |
| "eval_accuracy": 0.4594810379241517, | |
| "eval_loss": 1.0300606489181519, | |
| "eval_runtime": 54.1093, | |
| "eval_samples_per_second": 92.59, | |
| "eval_steps_per_second": 11.588, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "learning_rate": 8.606666666666668e-07, | |
| "loss": 1.0564, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_accuracy": 0.4666666666666667, | |
| "eval_loss": 1.0317378044128418, | |
| "eval_runtime": 54.0415, | |
| "eval_samples_per_second": 92.707, | |
| "eval_steps_per_second": 11.602, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "learning_rate": 8.884444444444445e-07, | |
| "loss": 1.0541, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.3, | |
| "eval_accuracy": 0.47065868263473054, | |
| "eval_loss": 1.0293121337890625, | |
| "eval_runtime": 54.1157, | |
| "eval_samples_per_second": 92.579, | |
| "eval_steps_per_second": 11.586, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "learning_rate": 9.161944444444445e-07, | |
| "loss": 1.0485, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.34, | |
| "eval_accuracy": 0.480439121756487, | |
| "eval_loss": 1.0269454717636108, | |
| "eval_runtime": 54.0627, | |
| "eval_samples_per_second": 92.67, | |
| "eval_steps_per_second": 11.598, | |
| "step": 33000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "learning_rate": 9.439722222222223e-07, | |
| "loss": 1.0469, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.39, | |
| "eval_accuracy": 0.4780439121756487, | |
| "eval_loss": 1.026614785194397, | |
| "eval_runtime": 54.0605, | |
| "eval_samples_per_second": 92.674, | |
| "eval_steps_per_second": 11.598, | |
| "step": 34000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "learning_rate": 9.7175e-07, | |
| "loss": 1.0479, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.43, | |
| "eval_accuracy": 0.48423153692614773, | |
| "eval_loss": 1.0213700532913208, | |
| "eval_runtime": 54.1341, | |
| "eval_samples_per_second": 92.548, | |
| "eval_steps_per_second": 11.582, | |
| "step": 35000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "learning_rate": 9.995277777777778e-07, | |
| "loss": 1.0433, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.47, | |
| "eval_accuracy": 0.49101796407185627, | |
| "eval_loss": 1.0118540525436401, | |
| "eval_runtime": 54.1201, | |
| "eval_samples_per_second": 92.572, | |
| "eval_steps_per_second": 11.585, | |
| "step": 36000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "learning_rate": 1.0273055555555556e-06, | |
| "loss": 1.0368, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "eval_accuracy": 0.49101796407185627, | |
| "eval_loss": 1.0219311714172363, | |
| "eval_runtime": 54.1135, | |
| "eval_samples_per_second": 92.583, | |
| "eval_steps_per_second": 11.587, | |
| "step": 37000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "learning_rate": 1.0550555555555557e-06, | |
| "loss": 1.0401, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.55, | |
| "eval_accuracy": 0.49720558882235527, | |
| "eval_loss": 1.013930320739746, | |
| "eval_runtime": 54.0309, | |
| "eval_samples_per_second": 92.725, | |
| "eval_steps_per_second": 11.604, | |
| "step": 38000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 1.0828333333333334e-06, | |
| "loss": 1.0341, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "eval_accuracy": 0.4992015968063872, | |
| "eval_loss": 1.0132442712783813, | |
| "eval_runtime": 54.0478, | |
| "eval_samples_per_second": 92.696, | |
| "eval_steps_per_second": 11.601, | |
| "step": 39000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "learning_rate": 1.1106111111111112e-06, | |
| "loss": 1.0254, | |
| "step": 40000 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_accuracy": 0.5095808383233533, | |
| "eval_loss": 1.0034514665603638, | |
| "eval_runtime": 54.1138, | |
| "eval_samples_per_second": 92.583, | |
| "eval_steps_per_second": 11.587, | |
| "step": 40000 | |
| } | |
| ], | |
| "logging_steps": 1000, | |
| "max_steps": 10000000, | |
| "num_train_epochs": 408, | |
| "save_steps": 1000, | |
| "total_flos": 8.36139439203287e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |