| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 15.0, | |
| "global_step": 33000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.23, | |
| "learning_rate": 1.969939393939394e-05, | |
| "loss": 2.4249, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.45, | |
| "learning_rate": 1.9396363636363637e-05, | |
| "loss": 2.3742, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "learning_rate": 1.9093939393939395e-05, | |
| "loss": 2.3454, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "learning_rate": 1.8790909090909093e-05, | |
| "loss": 2.3292, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_loss": 2.4535229206085205, | |
| "eval_runtime": 1.8377, | |
| "eval_samples_per_second": 136.041, | |
| "eval_steps_per_second": 22.855, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 1.14, | |
| "learning_rate": 1.848787878787879e-05, | |
| "loss": 2.1317, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.36, | |
| "learning_rate": 1.8184848484848487e-05, | |
| "loss": 2.0183, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.59, | |
| "learning_rate": 1.788181818181818e-05, | |
| "loss": 2.0052, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.82, | |
| "learning_rate": 1.757878787878788e-05, | |
| "loss": 1.9885, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 2.4263100624084473, | |
| "eval_runtime": 1.8704, | |
| "eval_samples_per_second": 133.662, | |
| "eval_steps_per_second": 22.455, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 2.05, | |
| "learning_rate": 1.727575757575758e-05, | |
| "loss": 1.9505, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.27, | |
| "learning_rate": 1.6972727272727273e-05, | |
| "loss": 1.7025, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "learning_rate": 1.6669696969696972e-05, | |
| "loss": 1.717, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.73, | |
| "learning_rate": 1.636727272727273e-05, | |
| "loss": 1.7028, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "learning_rate": 1.6064242424242428e-05, | |
| "loss": 1.741, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_loss": 2.508474111557007, | |
| "eval_runtime": 1.8606, | |
| "eval_samples_per_second": 134.366, | |
| "eval_steps_per_second": 22.573, | |
| "step": 6600 | |
| }, | |
| { | |
| "epoch": 3.18, | |
| "learning_rate": 1.5761212121212123e-05, | |
| "loss": 1.4946, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.41, | |
| "learning_rate": 1.5458181818181818e-05, | |
| "loss": 1.4504, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 3.64, | |
| "learning_rate": 1.5155151515151516e-05, | |
| "loss": 1.4769, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.86, | |
| "learning_rate": 1.4852121212121213e-05, | |
| "loss": 1.4818, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_loss": 2.5952579975128174, | |
| "eval_runtime": 1.911, | |
| "eval_samples_per_second": 130.825, | |
| "eval_steps_per_second": 21.979, | |
| "step": 8800 | |
| }, | |
| { | |
| "epoch": 4.09, | |
| "learning_rate": 1.4549090909090911e-05, | |
| "loss": 1.3898, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 4.32, | |
| "learning_rate": 1.4246666666666669e-05, | |
| "loss": 1.218, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 4.55, | |
| "learning_rate": 1.3943636363636365e-05, | |
| "loss": 1.2481, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 4.77, | |
| "learning_rate": 1.364060606060606e-05, | |
| "loss": 1.2518, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "learning_rate": 1.3337575757575759e-05, | |
| "loss": 1.2692, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_loss": 2.763364791870117, | |
| "eval_runtime": 1.8787, | |
| "eval_samples_per_second": 133.072, | |
| "eval_steps_per_second": 22.356, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.23, | |
| "learning_rate": 1.3035151515151516e-05, | |
| "loss": 1.0289, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 5.45, | |
| "learning_rate": 1.2732727272727275e-05, | |
| "loss": 1.0458, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 5.68, | |
| "learning_rate": 1.2429696969696972e-05, | |
| "loss": 1.0494, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 5.91, | |
| "learning_rate": 1.2126666666666667e-05, | |
| "loss": 1.057, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_loss": 2.8617300987243652, | |
| "eval_runtime": 1.8519, | |
| "eval_samples_per_second": 135.0, | |
| "eval_steps_per_second": 22.68, | |
| "step": 13200 | |
| }, | |
| { | |
| "epoch": 6.14, | |
| "learning_rate": 1.1823636363636364e-05, | |
| "loss": 0.9342, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 6.36, | |
| "learning_rate": 1.152060606060606e-05, | |
| "loss": 0.8533, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 6.59, | |
| "learning_rate": 1.1217575757575759e-05, | |
| "loss": 0.8949, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 6.82, | |
| "learning_rate": 1.0914545454545456e-05, | |
| "loss": 0.8928, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_loss": 3.067075729370117, | |
| "eval_runtime": 1.8518, | |
| "eval_samples_per_second": 135.007, | |
| "eval_steps_per_second": 22.681, | |
| "step": 15400 | |
| }, | |
| { | |
| "epoch": 7.05, | |
| "learning_rate": 1.0611515151515152e-05, | |
| "loss": 0.8587, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 7.27, | |
| "learning_rate": 1.030848484848485e-05, | |
| "loss": 0.7187, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "learning_rate": 1.0006060606060606e-05, | |
| "loss": 0.7212, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 7.73, | |
| "learning_rate": 9.703030303030305e-06, | |
| "loss": 0.7395, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 7.95, | |
| "learning_rate": 9.4e-06, | |
| "loss": 0.758, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_loss": 3.21189546585083, | |
| "eval_runtime": 1.8755, | |
| "eval_samples_per_second": 133.301, | |
| "eval_steps_per_second": 22.395, | |
| "step": 17600 | |
| }, | |
| { | |
| "epoch": 8.18, | |
| "learning_rate": 9.097575757575759e-06, | |
| "loss": 0.6303, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 8.41, | |
| "learning_rate": 8.794545454545456e-06, | |
| "loss": 0.5999, | |
| "step": 18500 | |
| }, | |
| { | |
| "epoch": 8.64, | |
| "learning_rate": 8.491515151515152e-06, | |
| "loss": 0.6254, | |
| "step": 19000 | |
| }, | |
| { | |
| "epoch": 8.86, | |
| "learning_rate": 8.188484848484849e-06, | |
| "loss": 0.6222, | |
| "step": 19500 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_loss": 3.3879506587982178, | |
| "eval_runtime": 1.8402, | |
| "eval_samples_per_second": 135.853, | |
| "eval_steps_per_second": 22.823, | |
| "step": 19800 | |
| }, | |
| { | |
| "epoch": 9.09, | |
| "learning_rate": 7.885454545454546e-06, | |
| "loss": 0.5877, | |
| "step": 20000 | |
| }, | |
| { | |
| "epoch": 9.32, | |
| "learning_rate": 7.582424242424243e-06, | |
| "loss": 0.5085, | |
| "step": 20500 | |
| }, | |
| { | |
| "epoch": 9.55, | |
| "learning_rate": 7.279393939393939e-06, | |
| "loss": 0.5189, | |
| "step": 21000 | |
| }, | |
| { | |
| "epoch": 9.77, | |
| "learning_rate": 6.976363636363637e-06, | |
| "loss": 0.5198, | |
| "step": 21500 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "learning_rate": 6.673939393939395e-06, | |
| "loss": 0.5228, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_loss": 3.485287666320801, | |
| "eval_runtime": 1.8718, | |
| "eval_samples_per_second": 133.559, | |
| "eval_steps_per_second": 22.438, | |
| "step": 22000 | |
| }, | |
| { | |
| "epoch": 10.23, | |
| "learning_rate": 6.371515151515152e-06, | |
| "loss": 0.4323, | |
| "step": 22500 | |
| }, | |
| { | |
| "epoch": 10.45, | |
| "learning_rate": 6.068484848484849e-06, | |
| "loss": 0.4348, | |
| "step": 23000 | |
| }, | |
| { | |
| "epoch": 10.68, | |
| "learning_rate": 5.7654545454545465e-06, | |
| "loss": 0.4376, | |
| "step": 23500 | |
| }, | |
| { | |
| "epoch": 10.91, | |
| "learning_rate": 5.4624242424242424e-06, | |
| "loss": 0.4441, | |
| "step": 24000 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_loss": 3.6241962909698486, | |
| "eval_runtime": 1.8617, | |
| "eval_samples_per_second": 134.283, | |
| "eval_steps_per_second": 22.56, | |
| "step": 24200 | |
| }, | |
| { | |
| "epoch": 11.14, | |
| "learning_rate": 5.15939393939394e-06, | |
| "loss": 0.3995, | |
| "step": 24500 | |
| }, | |
| { | |
| "epoch": 11.36, | |
| "learning_rate": 4.856363636363637e-06, | |
| "loss": 0.3728, | |
| "step": 25000 | |
| }, | |
| { | |
| "epoch": 11.59, | |
| "learning_rate": 4.5533333333333335e-06, | |
| "loss": 0.3743, | |
| "step": 25500 | |
| }, | |
| { | |
| "epoch": 11.82, | |
| "learning_rate": 4.250303030303031e-06, | |
| "loss": 0.3787, | |
| "step": 26000 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_loss": 3.684976100921631, | |
| "eval_runtime": 1.8613, | |
| "eval_samples_per_second": 134.316, | |
| "eval_steps_per_second": 22.565, | |
| "step": 26400 | |
| }, | |
| { | |
| "epoch": 12.05, | |
| "learning_rate": 3.947272727272727e-06, | |
| "loss": 0.374, | |
| "step": 26500 | |
| }, | |
| { | |
| "epoch": 12.27, | |
| "learning_rate": 3.645454545454546e-06, | |
| "loss": 0.3186, | |
| "step": 27000 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "learning_rate": 3.3424242424242424e-06, | |
| "loss": 0.3265, | |
| "step": 27500 | |
| }, | |
| { | |
| "epoch": 12.73, | |
| "learning_rate": 3.03939393939394e-06, | |
| "loss": 0.3263, | |
| "step": 28000 | |
| }, | |
| { | |
| "epoch": 12.95, | |
| "learning_rate": 2.7363636363636363e-06, | |
| "loss": 0.3312, | |
| "step": 28500 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_loss": 3.783233880996704, | |
| "eval_runtime": 1.8573, | |
| "eval_samples_per_second": 134.603, | |
| "eval_steps_per_second": 22.613, | |
| "step": 28600 | |
| }, | |
| { | |
| "epoch": 13.18, | |
| "learning_rate": 2.4333333333333335e-06, | |
| "loss": 0.2967, | |
| "step": 29000 | |
| }, | |
| { | |
| "epoch": 13.41, | |
| "learning_rate": 2.130909090909091e-06, | |
| "loss": 0.2904, | |
| "step": 29500 | |
| }, | |
| { | |
| "epoch": 13.64, | |
| "learning_rate": 1.827878787878788e-06, | |
| "loss": 0.293, | |
| "step": 30000 | |
| }, | |
| { | |
| "epoch": 13.86, | |
| "learning_rate": 1.5248484848484849e-06, | |
| "loss": 0.2893, | |
| "step": 30500 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_loss": 3.7963521480560303, | |
| "eval_runtime": 1.8603, | |
| "eval_samples_per_second": 134.387, | |
| "eval_steps_per_second": 22.577, | |
| "step": 30800 | |
| }, | |
| { | |
| "epoch": 14.09, | |
| "learning_rate": 1.221818181818182e-06, | |
| "loss": 0.2799, | |
| "step": 31000 | |
| }, | |
| { | |
| "epoch": 14.32, | |
| "learning_rate": 9.187878787878789e-07, | |
| "loss": 0.2723, | |
| "step": 31500 | |
| }, | |
| { | |
| "epoch": 14.55, | |
| "learning_rate": 6.163636363636364e-07, | |
| "loss": 0.2673, | |
| "step": 32000 | |
| }, | |
| { | |
| "epoch": 14.77, | |
| "learning_rate": 3.1333333333333333e-07, | |
| "loss": 0.2642, | |
| "step": 32500 | |
| }, | |
| { | |
| "epoch": 15.0, | |
| "learning_rate": 1.0303030303030303e-08, | |
| "loss": 0.2671, | |
| "step": 33000 | |
| } | |
| ], | |
| "max_steps": 33000, | |
| "num_train_epochs": 15, | |
| "total_flos": 1.1231089438777344e+17, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |