{ "best_metric": null, "best_model_checkpoint": null, "epoch": 3.0, "eval_steps": 500, "global_step": 11154, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.13448090371167296, "grad_norm": 4.317680835723877, "learning_rate": 1.9103460641922183e-05, "loss": 0.2456, "step": 500 }, { "epoch": 0.13448090371167296, "eval_accuracy": 0.9731038192576654, "eval_loss": 0.10059116035699844, "eval_runtime": 79.8153, "eval_samples_per_second": 93.165, "eval_steps_per_second": 11.652, "step": 500 }, { "epoch": 0.2689618074233459, "grad_norm": 15.100606918334961, "learning_rate": 1.8206921283844363e-05, "loss": 0.1162, "step": 1000 }, { "epoch": 0.2689618074233459, "eval_accuracy": 0.9665142549757935, "eval_loss": 0.17202958464622498, "eval_runtime": 77.2682, "eval_samples_per_second": 96.236, "eval_steps_per_second": 12.036, "step": 1000 }, { "epoch": 0.40344271113501884, "grad_norm": 0.02275875024497509, "learning_rate": 1.731038192576654e-05, "loss": 0.0779, "step": 1500 }, { "epoch": 0.40344271113501884, "eval_accuracy": 0.957235072619688, "eval_loss": 0.22287946939468384, "eval_runtime": 86.088, "eval_samples_per_second": 86.377, "eval_steps_per_second": 10.803, "step": 1500 }, { "epoch": 0.5379236148466918, "grad_norm": 0.004053408745676279, "learning_rate": 1.6413842567688722e-05, "loss": 0.082, "step": 2000 }, { "epoch": 0.5379236148466918, "eval_accuracy": 0.956831629908553, "eval_loss": 0.2240680307149887, "eval_runtime": 76.9592, "eval_samples_per_second": 96.623, "eval_steps_per_second": 12.084, "step": 2000 }, { "epoch": 0.6724045185583647, "grad_norm": 0.0030935597606003284, "learning_rate": 1.5517303209610903e-05, "loss": 0.0645, "step": 2500 }, { "epoch": 0.6724045185583647, "eval_accuracy": 0.9519903173749328, "eval_loss": 0.30673694610595703, "eval_runtime": 72.7269, "eval_samples_per_second": 102.246, "eval_steps_per_second": 12.788, "step": 2500 }, { "epoch": 0.8068854222700377, "grad_norm": 0.019974075257778168, "learning_rate": 1.4620763851533084e-05, "loss": 0.059, "step": 3000 }, { "epoch": 0.8068854222700377, "eval_accuracy": 0.9909897794513179, "eval_loss": 0.050069019198417664, "eval_runtime": 79.0838, "eval_samples_per_second": 94.027, "eval_steps_per_second": 11.76, "step": 3000 }, { "epoch": 0.9413663259817105, "grad_norm": 0.008741290308535099, "learning_rate": 1.3724224493455265e-05, "loss": 0.0582, "step": 3500 }, { "epoch": 0.9413663259817105, "eval_accuracy": 0.9911242603550295, "eval_loss": 0.03790881112217903, "eval_runtime": 77.0838, "eval_samples_per_second": 96.466, "eval_steps_per_second": 12.065, "step": 3500 }, { "epoch": 1.0758472296933834, "grad_norm": 38.54170608520508, "learning_rate": 1.2827685135377444e-05, "loss": 0.0338, "step": 4000 }, { "epoch": 1.0758472296933834, "eval_accuracy": 0.9751210328133405, "eval_loss": 0.15974809229373932, "eval_runtime": 80.1945, "eval_samples_per_second": 92.725, "eval_steps_per_second": 11.597, "step": 4000 }, { "epoch": 1.2103281334050564, "grad_norm": 29.925457000732422, "learning_rate": 1.1931145777299625e-05, "loss": 0.03, "step": 4500 }, { "epoch": 1.2103281334050564, "eval_accuracy": 0.9916621839698763, "eval_loss": 0.046014368534088135, "eval_runtime": 57.8477, "eval_samples_per_second": 128.544, "eval_steps_per_second": 16.077, "step": 4500 }, { "epoch": 1.3448090371167294, "grad_norm": 0.007805847562849522, "learning_rate": 1.1034606419221806e-05, "loss": 0.0215, "step": 5000 }, { "epoch": 1.3448090371167294, "eval_accuracy": 0.9772727272727273, "eval_loss": 0.15217718482017517, "eval_runtime": 74.0806, "eval_samples_per_second": 100.377, "eval_steps_per_second": 12.554, "step": 5000 }, { "epoch": 1.4792899408284024, "grad_norm": 0.0005576165858656168, "learning_rate": 1.0138067061143987e-05, "loss": 0.0144, "step": 5500 }, { "epoch": 1.4792899408284024, "eval_accuracy": 0.9413663259817105, "eval_loss": 0.4672979414463043, "eval_runtime": 74.077, "eval_samples_per_second": 100.382, "eval_steps_per_second": 12.555, "step": 5500 }, { "epoch": 1.6137708445400754, "grad_norm": 0.5596923232078552, "learning_rate": 9.241527703066166e-06, "loss": 0.0357, "step": 6000 }, { "epoch": 1.6137708445400754, "eval_accuracy": 0.991393222162453, "eval_loss": 0.05371003597974777, "eval_runtime": 91.3598, "eval_samples_per_second": 81.392, "eval_steps_per_second": 10.18, "step": 6000 }, { "epoch": 1.7482517482517483, "grad_norm": 0.0050299325957894325, "learning_rate": 8.344988344988347e-06, "loss": 0.0282, "step": 6500 }, { "epoch": 1.7482517482517483, "eval_accuracy": 0.9795589026358257, "eval_loss": 0.10718287527561188, "eval_runtime": 63.8039, "eval_samples_per_second": 116.545, "eval_steps_per_second": 14.576, "step": 6500 }, { "epoch": 1.8827326519634213, "grad_norm": 0.1358013153076172, "learning_rate": 7.448448986910526e-06, "loss": 0.0271, "step": 7000 }, { "epoch": 1.8827326519634213, "eval_accuracy": 0.9616729424421732, "eval_loss": 0.21952089667320251, "eval_runtime": 62.6082, "eval_samples_per_second": 118.77, "eval_steps_per_second": 14.854, "step": 7000 }, { "epoch": 2.0172135556750943, "grad_norm": 0.0005359902861528099, "learning_rate": 6.551909628832707e-06, "loss": 0.0151, "step": 7500 }, { "epoch": 2.0172135556750943, "eval_accuracy": 0.972027972027972, "eval_loss": 0.18190746009349823, "eval_runtime": 75.7313, "eval_samples_per_second": 98.189, "eval_steps_per_second": 12.28, "step": 7500 }, { "epoch": 2.151694459386767, "grad_norm": 0.0002543228620197624, "learning_rate": 5.655370270754886e-06, "loss": 0.0124, "step": 8000 }, { "epoch": 2.151694459386767, "eval_accuracy": 0.9796933835395374, "eval_loss": 0.12187998741865158, "eval_runtime": 73.9844, "eval_samples_per_second": 100.508, "eval_steps_per_second": 12.57, "step": 8000 }, { "epoch": 2.28617536309844, "grad_norm": 0.017442911863327026, "learning_rate": 4.758830912677067e-06, "loss": 0.0084, "step": 8500 }, { "epoch": 2.28617536309844, "eval_accuracy": 0.9803657880580957, "eval_loss": 0.133524090051651, "eval_runtime": 72.5895, "eval_samples_per_second": 102.439, "eval_steps_per_second": 12.812, "step": 8500 }, { "epoch": 2.420656266810113, "grad_norm": 0.00029117995291016996, "learning_rate": 3.862291554599247e-06, "loss": 0.0045, "step": 9000 }, { "epoch": 2.420656266810113, "eval_accuracy": 0.9868208714362561, "eval_loss": 0.084413081407547, "eval_runtime": 71.5341, "eval_samples_per_second": 103.95, "eval_steps_per_second": 13.001, "step": 9000 }, { "epoch": 2.555137170521786, "grad_norm": 0.0001818160671973601, "learning_rate": 2.9657521965214274e-06, "loss": 0.0027, "step": 9500 }, { "epoch": 2.555137170521786, "eval_accuracy": 0.9838622915545993, "eval_loss": 0.1180611401796341, "eval_runtime": 72.5206, "eval_samples_per_second": 102.536, "eval_steps_per_second": 12.824, "step": 9500 }, { "epoch": 2.6896180742334588, "grad_norm": 0.00021849782206118107, "learning_rate": 2.069212838443608e-06, "loss": 0.0061, "step": 10000 }, { "epoch": 2.6896180742334588, "eval_accuracy": 0.9842657342657343, "eval_loss": 0.11533553153276443, "eval_runtime": 72.894, "eval_samples_per_second": 102.011, "eval_steps_per_second": 12.758, "step": 10000 }, { "epoch": 2.8240989779451318, "grad_norm": 0.0002802180533763021, "learning_rate": 1.1726734803657882e-06, "loss": 0.0026, "step": 10500 }, { "epoch": 2.8240989779451318, "eval_accuracy": 0.9905863367401829, "eval_loss": 0.06259341537952423, "eval_runtime": 72.005, "eval_samples_per_second": 103.271, "eval_steps_per_second": 12.916, "step": 10500 }, { "epoch": 2.9585798816568047, "grad_norm": 0.00011676761641865596, "learning_rate": 2.7613412228796843e-07, "loss": 0.0008, "step": 11000 }, { "epoch": 2.9585798816568047, "eval_accuracy": 0.983593329747176, "eval_loss": 0.13157618045806885, "eval_runtime": 95.8085, "eval_samples_per_second": 77.613, "eval_steps_per_second": 9.707, "step": 11000 } ], "logging_steps": 500, "max_steps": 11154, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "total_flos": 1.8301403760969e+16, "train_batch_size": 8, "trial_name": null, "trial_params": null }