{ "best_metric": 1.0461777448654175, "best_model_checkpoint": "/kaggle/output/checkpoint-30000", "epoch": 1.2222946544980444, "eval_steps": 1000, "global_step": 30000, "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": 1.05, "step": 1 }, { "epoch": 0.04, "learning_rate": 2.7750000000000004e-08, "loss": 1.1403, "step": 1000 }, { "epoch": 0.04, "eval_accuracy": 0.33712574850299404, "eval_loss": 1.1030837297439575, "eval_runtime": 29.7882, "eval_samples_per_second": 168.187, "eval_steps_per_second": 21.049, "step": 1000 }, { "epoch": 0.08, "learning_rate": 5.5527777777777784e-08, "loss": 1.1194, "step": 2000 }, { "epoch": 0.08, "eval_accuracy": 0.34331337325349304, "eval_loss": 1.1002165079116821, "eval_runtime": 29.8685, "eval_samples_per_second": 167.735, "eval_steps_per_second": 20.992, "step": 2000 }, { "epoch": 0.12, "learning_rate": 8.327777777777778e-08, "loss": 1.1194, "step": 3000 }, { "epoch": 0.12, "eval_accuracy": 0.3471057884231537, "eval_loss": 1.101266622543335, "eval_runtime": 29.709, "eval_samples_per_second": 168.636, "eval_steps_per_second": 21.105, "step": 3000 }, { "epoch": 0.16, "learning_rate": 1.1105555555555557e-07, "loss": 1.1166, "step": 4000 }, { "epoch": 0.16, "eval_accuracy": 0.34311377245508984, "eval_loss": 1.0984796285629272, "eval_runtime": 29.9401, "eval_samples_per_second": 167.334, "eval_steps_per_second": 20.942, "step": 4000 }, { "epoch": 0.2, "learning_rate": 1.3883333333333335e-07, "loss": 1.1137, "step": 5000 }, { "epoch": 0.2, "eval_accuracy": 0.3403193612774451, "eval_loss": 1.0974279642105103, "eval_runtime": 29.8185, "eval_samples_per_second": 168.016, "eval_steps_per_second": 21.027, "step": 5000 }, { "epoch": 0.24, "learning_rate": 1.6658333333333335e-07, "loss": 1.1109, "step": 6000 }, { "epoch": 0.24, "eval_accuracy": 0.3592814371257485, "eval_loss": 1.0984892845153809, "eval_runtime": 29.893, "eval_samples_per_second": 167.598, "eval_steps_per_second": 20.975, "step": 6000 }, { "epoch": 0.29, "learning_rate": 1.9436111111111112e-07, "loss": 1.1122, "step": 7000 }, { "epoch": 0.29, "eval_accuracy": 0.36327345309381237, "eval_loss": 1.0960686206817627, "eval_runtime": 29.8315, "eval_samples_per_second": 167.943, "eval_steps_per_second": 21.018, "step": 7000 }, { "epoch": 0.33, "learning_rate": 2.2213888888888891e-07, "loss": 1.1091, "step": 8000 }, { "epoch": 0.33, "eval_accuracy": 0.35728542914171657, "eval_loss": 1.0958523750305176, "eval_runtime": 29.9494, "eval_samples_per_second": 167.282, "eval_steps_per_second": 20.935, "step": 8000 }, { "epoch": 0.37, "learning_rate": 2.4988888888888893e-07, "loss": 1.1077, "step": 9000 }, { "epoch": 0.37, "eval_accuracy": 0.35528942115768464, "eval_loss": 1.1003851890563965, "eval_runtime": 29.9762, "eval_samples_per_second": 167.133, "eval_steps_per_second": 20.917, "step": 9000 }, { "epoch": 0.41, "learning_rate": 2.776666666666667e-07, "loss": 1.1091, "step": 10000 }, { "epoch": 0.41, "eval_accuracy": 0.3790419161676647, "eval_loss": 1.0951762199401855, "eval_runtime": 29.8593, "eval_samples_per_second": 167.787, "eval_steps_per_second": 20.998, "step": 10000 }, { "epoch": 0.45, "learning_rate": 3.0541666666666667e-07, "loss": 1.1047, "step": 11000 }, { "epoch": 0.45, "eval_accuracy": 0.3780439121756487, "eval_loss": 1.0928910970687866, "eval_runtime": 29.8768, "eval_samples_per_second": 167.689, "eval_steps_per_second": 20.986, "step": 11000 }, { "epoch": 0.49, "learning_rate": 3.3319444444444444e-07, "loss": 1.1053, "step": 12000 }, { "epoch": 0.49, "eval_accuracy": 0.38323353293413176, "eval_loss": 1.0910215377807617, "eval_runtime": 29.8703, "eval_samples_per_second": 167.725, "eval_steps_per_second": 20.991, "step": 12000 }, { "epoch": 0.53, "learning_rate": 3.6094444444444446e-07, "loss": 1.1035, "step": 13000 }, { "epoch": 0.53, "eval_accuracy": 0.34850299401197604, "eval_loss": 1.0930161476135254, "eval_runtime": 29.8865, "eval_samples_per_second": 167.634, "eval_steps_per_second": 20.979, "step": 13000 }, { "epoch": 0.57, "learning_rate": 3.8872222222222223e-07, "loss": 1.1002, "step": 14000 }, { "epoch": 0.57, "eval_accuracy": 0.3646706586826347, "eval_loss": 1.093497633934021, "eval_runtime": 30.0222, "eval_samples_per_second": 166.877, "eval_steps_per_second": 20.885, "step": 14000 }, { "epoch": 0.61, "learning_rate": 4.1647222222222225e-07, "loss": 1.1025, "step": 15000 }, { "epoch": 0.61, "eval_accuracy": 0.37924151696606784, "eval_loss": 1.0900779962539673, "eval_runtime": 30.0049, "eval_samples_per_second": 166.973, "eval_steps_per_second": 20.897, "step": 15000 }, { "epoch": 0.65, "learning_rate": 4.4425e-07, "loss": 1.0992, "step": 16000 }, { "epoch": 0.65, "eval_accuracy": 0.40119760479041916, "eval_loss": 1.0855979919433594, "eval_runtime": 30.1095, "eval_samples_per_second": 166.393, "eval_steps_per_second": 20.824, "step": 16000 }, { "epoch": 0.69, "learning_rate": 4.7200000000000004e-07, "loss": 1.0965, "step": 17000 }, { "epoch": 0.69, "eval_accuracy": 0.4171656686626746, "eval_loss": 1.0845381021499634, "eval_runtime": 30.0586, "eval_samples_per_second": 166.674, "eval_steps_per_second": 20.859, "step": 17000 }, { "epoch": 0.73, "learning_rate": 4.997777777777779e-07, "loss": 1.0962, "step": 18000 }, { "epoch": 0.73, "eval_accuracy": 0.4087824351297405, "eval_loss": 1.0860552787780762, "eval_runtime": 30.2343, "eval_samples_per_second": 165.706, "eval_steps_per_second": 20.738, "step": 18000 }, { "epoch": 0.77, "learning_rate": 5.275277777777778e-07, "loss": 1.0936, "step": 19000 }, { "epoch": 0.77, "eval_accuracy": 0.4039920159680639, "eval_loss": 1.0822259187698364, "eval_runtime": 30.216, "eval_samples_per_second": 165.806, "eval_steps_per_second": 20.751, "step": 19000 }, { "epoch": 0.81, "learning_rate": 5.553055555555556e-07, "loss": 1.0923, "step": 20000 }, { "epoch": 0.81, "eval_accuracy": 0.4095808383233533, "eval_loss": 1.0820951461791992, "eval_runtime": 29.968, "eval_samples_per_second": 167.178, "eval_steps_per_second": 20.922, "step": 20000 }, { "epoch": 0.86, "learning_rate": 5.830555555555556e-07, "loss": 1.0897, "step": 21000 }, { "epoch": 0.86, "eval_accuracy": 0.4149700598802395, "eval_loss": 1.0763800144195557, "eval_runtime": 30.021, "eval_samples_per_second": 166.883, "eval_steps_per_second": 20.885, "step": 21000 }, { "epoch": 0.9, "learning_rate": 6.108333333333333e-07, "loss": 1.0888, "step": 22000 }, { "epoch": 0.9, "eval_accuracy": 0.43193612774451096, "eval_loss": 1.0687414407730103, "eval_runtime": 30.1577, "eval_samples_per_second": 166.127, "eval_steps_per_second": 20.791, "step": 22000 }, { "epoch": 0.94, "learning_rate": 6.385833333333334e-07, "loss": 1.0823, "step": 23000 }, { "epoch": 0.94, "eval_accuracy": 0.4285429141716567, "eval_loss": 1.0642070770263672, "eval_runtime": 30.0701, "eval_samples_per_second": 166.611, "eval_steps_per_second": 20.851, "step": 23000 }, { "epoch": 0.98, "learning_rate": 6.663611111111112e-07, "loss": 1.0786, "step": 24000 }, { "epoch": 0.98, "eval_accuracy": 0.4363273453093812, "eval_loss": 1.0598841905593872, "eval_runtime": 30.0689, "eval_samples_per_second": 166.617, "eval_steps_per_second": 20.852, "step": 24000 }, { "epoch": 1.02, "learning_rate": 6.941111111111112e-07, "loss": 1.0708, "step": 25000 }, { "epoch": 1.02, "eval_accuracy": 0.4429141716566866, "eval_loss": 1.0561795234680176, "eval_runtime": 30.1301, "eval_samples_per_second": 166.279, "eval_steps_per_second": 20.81, "step": 25000 }, { "epoch": 1.06, "learning_rate": 7.218888888888889e-07, "loss": 1.072, "step": 26000 }, { "epoch": 1.06, "eval_accuracy": 0.4303393213572854, "eval_loss": 1.0574887990951538, "eval_runtime": 30.0473, "eval_samples_per_second": 166.737, "eval_steps_per_second": 20.867, "step": 26000 }, { "epoch": 1.1, "learning_rate": 7.496666666666667e-07, "loss": 1.0701, "step": 27000 }, { "epoch": 1.1, "eval_accuracy": 0.4421157684630739, "eval_loss": 1.055459976196289, "eval_runtime": 30.1049, "eval_samples_per_second": 166.418, "eval_steps_per_second": 20.827, "step": 27000 }, { "epoch": 1.14, "learning_rate": 7.774166666666668e-07, "loss": 1.0677, "step": 28000 }, { "epoch": 1.14, "eval_accuracy": 0.4285429141716567, "eval_loss": 1.0527067184448242, "eval_runtime": 30.1476, "eval_samples_per_second": 166.182, "eval_steps_per_second": 20.798, "step": 28000 }, { "epoch": 1.18, "learning_rate": 8.051944444444445e-07, "loss": 1.065, "step": 29000 }, { "epoch": 1.18, "eval_accuracy": 0.43852295409181635, "eval_loss": 1.0494154691696167, "eval_runtime": 30.036, "eval_samples_per_second": 166.8, "eval_steps_per_second": 20.875, "step": 29000 }, { "epoch": 1.22, "learning_rate": 8.329444444444445e-07, "loss": 1.0628, "step": 30000 }, { "epoch": 1.22, "eval_accuracy": 0.4377245508982036, "eval_loss": 1.0461777448654175, "eval_runtime": 30.1005, "eval_samples_per_second": 166.442, "eval_steps_per_second": 20.83, "step": 30000 } ], "logging_steps": 1000, "max_steps": 10000000, "num_train_epochs": 408, "save_steps": 1000, "total_flos": 3.135604565134541e+16, "trial_name": null, "trial_params": null }