| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.572701541042038, | |
| "eval_steps": 100, | |
| "global_step": 5000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.03, | |
| "grad_norm": 0.49666959047317505, | |
| "learning_rate": 0.0001, | |
| "loss": 3.1694, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.03, | |
| "eval_loss": 2.1809041500091553, | |
| "eval_runtime": 688.5742, | |
| "eval_samples_per_second": 49.254, | |
| "eval_steps_per_second": 1.539, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "grad_norm": 0.5750323534011841, | |
| "learning_rate": 9.655172413793105e-05, | |
| "loss": 2.0372, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.06, | |
| "eval_loss": 1.9693516492843628, | |
| "eval_runtime": 688.4711, | |
| "eval_samples_per_second": 49.261, | |
| "eval_steps_per_second": 1.54, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "grad_norm": 0.6069626808166504, | |
| "learning_rate": 9.310344827586207e-05, | |
| "loss": 1.9397, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.09, | |
| "eval_loss": 1.914998173713684, | |
| "eval_runtime": 688.3078, | |
| "eval_samples_per_second": 49.273, | |
| "eval_steps_per_second": 1.54, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "grad_norm": 0.6587632894515991, | |
| "learning_rate": 8.96551724137931e-05, | |
| "loss": 1.9029, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.13, | |
| "eval_loss": 1.887677550315857, | |
| "eval_runtime": 688.3053, | |
| "eval_samples_per_second": 49.273, | |
| "eval_steps_per_second": 1.54, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 0.6251624226570129, | |
| "learning_rate": 8.620689655172413e-05, | |
| "loss": 1.8749, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_loss": 1.8642584085464478, | |
| "eval_runtime": 688.2945, | |
| "eval_samples_per_second": 49.274, | |
| "eval_steps_per_second": 1.54, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "grad_norm": 0.6488652229309082, | |
| "learning_rate": 8.275862068965517e-05, | |
| "loss": 1.8444, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.19, | |
| "eval_loss": 1.8471214771270752, | |
| "eval_runtime": 688.3193, | |
| "eval_samples_per_second": 49.272, | |
| "eval_steps_per_second": 1.54, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "grad_norm": 0.5931334495544434, | |
| "learning_rate": 7.931034482758621e-05, | |
| "loss": 1.8316, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.22, | |
| "eval_loss": 1.8358324766159058, | |
| "eval_runtime": 688.2994, | |
| "eval_samples_per_second": 49.274, | |
| "eval_steps_per_second": 1.54, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": 0.5620170831680298, | |
| "learning_rate": 7.586206896551724e-05, | |
| "loss": 1.8312, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.25, | |
| "eval_loss": 1.824582815170288, | |
| "eval_runtime": 688.296, | |
| "eval_samples_per_second": 49.274, | |
| "eval_steps_per_second": 1.54, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 0.5843664407730103, | |
| "learning_rate": 7.241379310344828e-05, | |
| "loss": 1.8203, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "eval_loss": 1.8139162063598633, | |
| "eval_runtime": 688.4311, | |
| "eval_samples_per_second": 49.264, | |
| "eval_steps_per_second": 1.54, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "grad_norm": 0.6241691708564758, | |
| "learning_rate": 6.896551724137931e-05, | |
| "loss": 1.8057, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.31, | |
| "eval_loss": 1.8063077926635742, | |
| "eval_runtime": 688.4241, | |
| "eval_samples_per_second": 49.265, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "grad_norm": 0.639207661151886, | |
| "learning_rate": 6.551724137931034e-05, | |
| "loss": 1.7986, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.35, | |
| "eval_loss": 1.7982680797576904, | |
| "eval_runtime": 688.2656, | |
| "eval_samples_per_second": 49.276, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1100 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "grad_norm": 0.6417416930198669, | |
| "learning_rate": 6.206896551724138e-05, | |
| "loss": 1.7969, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.38, | |
| "eval_loss": 1.7924365997314453, | |
| "eval_runtime": 688.2797, | |
| "eval_samples_per_second": 49.275, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1200 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "grad_norm": 0.6295751333236694, | |
| "learning_rate": 5.862068965517241e-05, | |
| "loss": 1.779, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.41, | |
| "eval_loss": 1.785871148109436, | |
| "eval_runtime": 688.4975, | |
| "eval_samples_per_second": 49.259, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1300 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 0.6242513656616211, | |
| "learning_rate": 5.517241379310345e-05, | |
| "loss": 1.7743, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "eval_loss": 1.780082106590271, | |
| "eval_runtime": 688.2673, | |
| "eval_samples_per_second": 49.276, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1400 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "grad_norm": 0.6389493942260742, | |
| "learning_rate": 5.172413793103449e-05, | |
| "loss": 1.769, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.47, | |
| "eval_loss": 1.7744983434677124, | |
| "eval_runtime": 687.8653, | |
| "eval_samples_per_second": 49.305, | |
| "eval_steps_per_second": 1.541, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 0.669941246509552, | |
| "learning_rate": 4.827586206896552e-05, | |
| "loss": 1.7734, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "eval_loss": 1.7702207565307617, | |
| "eval_runtime": 688.2155, | |
| "eval_samples_per_second": 49.28, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1600 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "grad_norm": 0.6194856762886047, | |
| "learning_rate": 4.482758620689655e-05, | |
| "loss": 1.7666, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.53, | |
| "eval_loss": 1.7659046649932861, | |
| "eval_runtime": 688.2457, | |
| "eval_samples_per_second": 49.277, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1700 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "grad_norm": 0.6265833377838135, | |
| "learning_rate": 4.1379310344827587e-05, | |
| "loss": 1.7578, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.57, | |
| "eval_loss": 1.7620124816894531, | |
| "eval_runtime": 688.4272, | |
| "eval_samples_per_second": 49.264, | |
| "eval_steps_per_second": 1.54, | |
| "step": 1800 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 0.6443737745285034, | |
| "learning_rate": 3.793103448275862e-05, | |
| "loss": 1.7321, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "eval_loss": 1.7327184677124023, | |
| "eval_runtime": 679.9956, | |
| "eval_samples_per_second": 49.875, | |
| "eval_steps_per_second": 1.559, | |
| "step": 1900 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "grad_norm": 0.6571601033210754, | |
| "learning_rate": 3.4482758620689657e-05, | |
| "loss": 1.7336, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.63, | |
| "eval_loss": 1.730404019355774, | |
| "eval_runtime": 679.76, | |
| "eval_samples_per_second": 49.893, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "grad_norm": 0.651569128036499, | |
| "learning_rate": 3.103448275862069e-05, | |
| "loss": 1.7216, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.66, | |
| "eval_loss": 1.7281814813613892, | |
| "eval_runtime": 679.7835, | |
| "eval_samples_per_second": 49.891, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2100 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "grad_norm": 0.6475515365600586, | |
| "learning_rate": 2.7586206896551727e-05, | |
| "loss": 1.7263, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.69, | |
| "eval_loss": 1.726309061050415, | |
| "eval_runtime": 679.7496, | |
| "eval_samples_per_second": 49.893, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2200 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 0.6775307059288025, | |
| "learning_rate": 2.413793103448276e-05, | |
| "loss": 1.728, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "eval_loss": 1.7238056659698486, | |
| "eval_runtime": 679.9872, | |
| "eval_samples_per_second": 49.876, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2300 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 0.7065313458442688, | |
| "learning_rate": 2.0689655172413793e-05, | |
| "loss": 1.7222, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "eval_loss": 1.7217180728912354, | |
| "eval_runtime": 679.9742, | |
| "eval_samples_per_second": 49.877, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2400 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "grad_norm": 0.6938297748565674, | |
| "learning_rate": 1.7241379310344828e-05, | |
| "loss": 1.7249, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.79, | |
| "eval_loss": 1.719938039779663, | |
| "eval_runtime": 679.7345, | |
| "eval_samples_per_second": 49.894, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 0.6739135980606079, | |
| "learning_rate": 1.3793103448275863e-05, | |
| "loss": 1.7116, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.82, | |
| "eval_loss": 1.7181174755096436, | |
| "eval_runtime": 679.9623, | |
| "eval_samples_per_second": 49.878, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2600 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "grad_norm": 0.6775588989257812, | |
| "learning_rate": 1.0344827586206897e-05, | |
| "loss": 1.7146, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.85, | |
| "eval_loss": 1.7168805599212646, | |
| "eval_runtime": 679.7273, | |
| "eval_samples_per_second": 49.895, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2700 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 0.6750255823135376, | |
| "learning_rate": 6.896551724137932e-06, | |
| "loss": 1.712, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_loss": 1.715585708618164, | |
| "eval_runtime": 679.7333, | |
| "eval_samples_per_second": 49.895, | |
| "eval_steps_per_second": 1.559, | |
| "step": 2800 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "grad_norm": 0.68208247423172, | |
| "learning_rate": 3.448275862068966e-06, | |
| "loss": 1.7184, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.91, | |
| "eval_loss": 1.7148162126541138, | |
| "eval_runtime": 679.6399, | |
| "eval_samples_per_second": 49.901, | |
| "eval_steps_per_second": 1.56, | |
| "step": 2900 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "grad_norm": 0.6982720494270325, | |
| "learning_rate": 0.0, | |
| "loss": 1.7137, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.94, | |
| "eval_loss": 1.7144192457199097, | |
| "eval_runtime": 679.8535, | |
| "eval_samples_per_second": 49.886, | |
| "eval_steps_per_second": 1.559, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "grad_norm": 0.7738541960716248, | |
| "learning_rate": 3.8775510204081634e-05, | |
| "loss": 1.7029, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 0.97, | |
| "eval_loss": 1.7050038576126099, | |
| "eval_runtime": 687.1983, | |
| "eval_samples_per_second": 49.353, | |
| "eval_steps_per_second": 1.542, | |
| "step": 3100 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "grad_norm": 0.6895627379417419, | |
| "learning_rate": 3.673469387755102e-05, | |
| "loss": 1.7094, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.01, | |
| "eval_loss": 1.7042526006698608, | |
| "eval_runtime": 687.1845, | |
| "eval_samples_per_second": 49.354, | |
| "eval_steps_per_second": 1.543, | |
| "step": 3200 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "grad_norm": 0.8041057586669922, | |
| "learning_rate": 3.469387755102041e-05, | |
| "loss": 1.7049, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.04, | |
| "eval_loss": 1.7035516500473022, | |
| "eval_runtime": 687.4035, | |
| "eval_samples_per_second": 49.338, | |
| "eval_steps_per_second": 1.542, | |
| "step": 3300 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "grad_norm": 0.7259939908981323, | |
| "learning_rate": 3.265306122448979e-05, | |
| "loss": 1.7098, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.07, | |
| "eval_loss": 1.7024834156036377, | |
| "eval_runtime": 687.1647, | |
| "eval_samples_per_second": 49.355, | |
| "eval_steps_per_second": 1.543, | |
| "step": 3400 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "grad_norm": 0.7912746667861938, | |
| "learning_rate": 3.061224489795919e-05, | |
| "loss": 1.7015, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.1, | |
| "eval_loss": 1.7005605697631836, | |
| "eval_runtime": 687.1366, | |
| "eval_samples_per_second": 49.357, | |
| "eval_steps_per_second": 1.543, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "grad_norm": 0.8287527561187744, | |
| "learning_rate": 2.857142857142857e-05, | |
| "loss": 1.6876, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.13, | |
| "eval_loss": 1.6933950185775757, | |
| "eval_runtime": 683.5096, | |
| "eval_samples_per_second": 49.619, | |
| "eval_steps_per_second": 1.551, | |
| "step": 3600 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "grad_norm": 0.736217737197876, | |
| "learning_rate": 2.6530612244897963e-05, | |
| "loss": 1.6958, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.16, | |
| "eval_loss": 1.692893624305725, | |
| "eval_runtime": 683.433, | |
| "eval_samples_per_second": 49.624, | |
| "eval_steps_per_second": 1.551, | |
| "step": 3700 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 0.7109358906745911, | |
| "learning_rate": 2.448979591836735e-05, | |
| "loss": 1.6885, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "eval_loss": 1.6916097402572632, | |
| "eval_runtime": 683.3969, | |
| "eval_samples_per_second": 49.627, | |
| "eval_steps_per_second": 1.551, | |
| "step": 3800 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "grad_norm": 0.7234348654747009, | |
| "learning_rate": 2.2448979591836737e-05, | |
| "loss": 1.6934, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.23, | |
| "eval_loss": 1.6902754306793213, | |
| "eval_runtime": 683.1628, | |
| "eval_samples_per_second": 49.644, | |
| "eval_steps_per_second": 1.552, | |
| "step": 3900 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "grad_norm": 0.7684239149093628, | |
| "learning_rate": 2.0408163265306123e-05, | |
| "loss": 1.6909, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.26, | |
| "eval_loss": 1.689305067062378, | |
| "eval_runtime": 683.1661, | |
| "eval_samples_per_second": 49.644, | |
| "eval_steps_per_second": 1.552, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "grad_norm": 0.7669008374214172, | |
| "learning_rate": 1.836734693877551e-05, | |
| "loss": 1.6907, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.29, | |
| "eval_loss": 1.688330888748169, | |
| "eval_runtime": 683.1804, | |
| "eval_samples_per_second": 49.643, | |
| "eval_steps_per_second": 1.552, | |
| "step": 4100 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "grad_norm": 0.7422395348548889, | |
| "learning_rate": 1.6326530612244897e-05, | |
| "loss": 1.6912, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 1.32, | |
| "eval_loss": 1.687252163887024, | |
| "eval_runtime": 683.2129, | |
| "eval_samples_per_second": 49.64, | |
| "eval_steps_per_second": 1.551, | |
| "step": 4200 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "grad_norm": 0.7352548837661743, | |
| "learning_rate": 1.4285714285714285e-05, | |
| "loss": 1.6873, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 1.35, | |
| "eval_loss": 1.6862083673477173, | |
| "eval_runtime": 683.1788, | |
| "eval_samples_per_second": 49.643, | |
| "eval_steps_per_second": 1.552, | |
| "step": 4300 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "grad_norm": 0.7130007147789001, | |
| "learning_rate": 1.2244897959183674e-05, | |
| "loss": 1.6858, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 1.38, | |
| "eval_loss": 1.6853961944580078, | |
| "eval_runtime": 683.1786, | |
| "eval_samples_per_second": 49.643, | |
| "eval_steps_per_second": 1.552, | |
| "step": 4400 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "grad_norm": 0.7947734594345093, | |
| "learning_rate": 1.0204081632653061e-05, | |
| "loss": 1.6813, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.42, | |
| "eval_loss": 1.6845451593399048, | |
| "eval_runtime": 683.4171, | |
| "eval_samples_per_second": 49.626, | |
| "eval_steps_per_second": 1.551, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "grad_norm": 0.7227717041969299, | |
| "learning_rate": 8.163265306122448e-06, | |
| "loss": 1.6867, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 1.45, | |
| "eval_loss": 1.6836014986038208, | |
| "eval_runtime": 683.3718, | |
| "eval_samples_per_second": 49.629, | |
| "eval_steps_per_second": 1.551, | |
| "step": 4600 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 0.746582567691803, | |
| "learning_rate": 6.122448979591837e-06, | |
| "loss": 1.6882, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "eval_loss": 1.682924509048462, | |
| "eval_runtime": 683.3662, | |
| "eval_samples_per_second": 49.629, | |
| "eval_steps_per_second": 1.551, | |
| "step": 4700 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "grad_norm": 0.7279271483421326, | |
| "learning_rate": 4.081632653061224e-06, | |
| "loss": 1.6872, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 1.51, | |
| "eval_loss": 1.682388186454773, | |
| "eval_runtime": 683.1514, | |
| "eval_samples_per_second": 49.645, | |
| "eval_steps_per_second": 1.552, | |
| "step": 4800 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "grad_norm": 0.7303986549377441, | |
| "learning_rate": 2.040816326530612e-06, | |
| "loss": 1.6898, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 1.54, | |
| "eval_loss": 1.682073950767517, | |
| "eval_runtime": 683.3608, | |
| "eval_samples_per_second": 49.63, | |
| "eval_steps_per_second": 1.551, | |
| "step": 4900 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "grad_norm": 0.763130784034729, | |
| "learning_rate": 0.0, | |
| "loss": 1.6845, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 1.57, | |
| "eval_loss": 1.6819010972976685, | |
| "eval_runtime": 683.1778, | |
| "eval_samples_per_second": 49.643, | |
| "eval_steps_per_second": 1.552, | |
| "step": 5000 | |
| } | |
| ], | |
| "logging_steps": 100, | |
| "max_steps": 5000, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "save_steps": 50, | |
| "total_flos": 2.03873794720034e+18, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |