| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.857142857142857, | |
| "eval_steps": 5, | |
| "global_step": 50, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.05714285714285714, | |
| "grad_norm": 12.726211547851562, | |
| "learning_rate": 1e-05, | |
| "loss": 16.7409, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.05714285714285714, | |
| "eval_loss": 9.10863208770752, | |
| "eval_runtime": 1.8789, | |
| "eval_samples_per_second": 7.983, | |
| "eval_steps_per_second": 1.064, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.11428571428571428, | |
| "grad_norm": 10.197029113769531, | |
| "learning_rate": 2e-05, | |
| "loss": 13.2649, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.17142857142857143, | |
| "grad_norm": 12.611615180969238, | |
| "learning_rate": 3e-05, | |
| "loss": 16.1898, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 0.22857142857142856, | |
| "grad_norm": 14.422361373901367, | |
| "learning_rate": 4e-05, | |
| "loss": 16.7298, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 0.2857142857142857, | |
| "grad_norm": 13.265689849853516, | |
| "learning_rate": 5e-05, | |
| "loss": 16.0336, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.2857142857142857, | |
| "eval_loss": 8.701345443725586, | |
| "eval_runtime": 1.8972, | |
| "eval_samples_per_second": 7.907, | |
| "eval_steps_per_second": 1.054, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.34285714285714286, | |
| "grad_norm": 18.975881576538086, | |
| "learning_rate": 6e-05, | |
| "loss": 15.8037, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 19.776723861694336, | |
| "learning_rate": 7e-05, | |
| "loss": 14.8698, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 0.45714285714285713, | |
| "grad_norm": 13.150531768798828, | |
| "learning_rate": 8e-05, | |
| "loss": 12.3575, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 0.5142857142857142, | |
| "grad_norm": 15.01668643951416, | |
| "learning_rate": 9e-05, | |
| "loss": 10.8048, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 0.5714285714285714, | |
| "grad_norm": 14.243483543395996, | |
| "learning_rate": 0.0001, | |
| "loss": 9.9134, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.5714285714285714, | |
| "eval_loss": 4.631707668304443, | |
| "eval_runtime": 1.8806, | |
| "eval_samples_per_second": 7.976, | |
| "eval_steps_per_second": 1.063, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.6285714285714286, | |
| "grad_norm": 17.032089233398438, | |
| "learning_rate": 9.986661418317759e-05, | |
| "loss": 8.326, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 0.6857142857142857, | |
| "grad_norm": 31.08342933654785, | |
| "learning_rate": 9.946716840375551e-05, | |
| "loss": 6.0208, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 0.7428571428571429, | |
| "grad_norm": 19.09461212158203, | |
| "learning_rate": 9.880379387779637e-05, | |
| "loss": 5.0303, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 20.249990463256836, | |
| "learning_rate": 9.78800299954203e-05, | |
| "loss": 3.0912, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 0.8571428571428571, | |
| "grad_norm": 12.805388450622559, | |
| "learning_rate": 9.67008054366274e-05, | |
| "loss": 1.385, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.8571428571428571, | |
| "eval_loss": 1.539831519126892, | |
| "eval_runtime": 1.8804, | |
| "eval_samples_per_second": 7.977, | |
| "eval_steps_per_second": 1.064, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.9142857142857143, | |
| "grad_norm": 16.641372680664062, | |
| "learning_rate": 9.527241187465734e-05, | |
| "loss": 1.2639, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 0.9714285714285714, | |
| "grad_norm": 16.987781524658203, | |
| "learning_rate": 9.360247040719039e-05, | |
| "loss": 1.4489, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 1.0285714285714285, | |
| "grad_norm": 10.107866287231445, | |
| "learning_rate": 9.16998908944939e-05, | |
| "loss": 1.8918, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 1.0857142857142856, | |
| "grad_norm": 14.143921852111816, | |
| "learning_rate": 8.957482442146272e-05, | |
| "loss": 0.9066, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 1.1428571428571428, | |
| "grad_norm": 6.628956317901611, | |
| "learning_rate": 8.72386091371891e-05, | |
| "loss": 1.3674, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.1428571428571428, | |
| "eval_loss": 1.024061918258667, | |
| "eval_runtime": 1.8791, | |
| "eval_samples_per_second": 7.983, | |
| "eval_steps_per_second": 1.064, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 13.004719734191895, | |
| "learning_rate": 8.47037097610317e-05, | |
| "loss": 0.966, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 1.2571428571428571, | |
| "grad_norm": 9.043590545654297, | |
| "learning_rate": 8.198365107794457e-05, | |
| "loss": 1.1478, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 1.3142857142857143, | |
| "grad_norm": 8.619237899780273, | |
| "learning_rate": 7.909294577789766e-05, | |
| "loss": 0.3326, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 1.3714285714285714, | |
| "grad_norm": 7.541545867919922, | |
| "learning_rate": 7.604701702439651e-05, | |
| "loss": 0.251, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 1.4285714285714286, | |
| "grad_norm": 10.902060508728027, | |
| "learning_rate": 7.286211616523193e-05, | |
| "loss": 0.8831, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.4285714285714286, | |
| "eval_loss": 0.7456358671188354, | |
| "eval_runtime": 1.8792, | |
| "eval_samples_per_second": 7.982, | |
| "eval_steps_per_second": 1.064, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 1.4857142857142858, | |
| "grad_norm": 9.19676399230957, | |
| "learning_rate": 6.95552360245078e-05, | |
| "loss": 0.728, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 1.5428571428571427, | |
| "grad_norm": 12.570167541503906, | |
| "learning_rate": 6.614402023857232e-05, | |
| "loss": 0.92, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 8.061638832092285, | |
| "learning_rate": 6.264666911958404e-05, | |
| "loss": 0.3867, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 1.657142857142857, | |
| "grad_norm": 5.505425453186035, | |
| "learning_rate": 5.908184254897182e-05, | |
| "loss": 0.4116, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 1.7142857142857144, | |
| "grad_norm": 4.206918239593506, | |
| "learning_rate": 5.546856041889373e-05, | |
| "loss": 0.26, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.7142857142857144, | |
| "eval_loss": 0.6001853942871094, | |
| "eval_runtime": 1.8809, | |
| "eval_samples_per_second": 7.975, | |
| "eval_steps_per_second": 1.063, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 1.7714285714285714, | |
| "grad_norm": 7.199727535247803, | |
| "learning_rate": 5.182610115288295e-05, | |
| "loss": 0.6765, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 1.8285714285714287, | |
| "grad_norm": 5.864309310913086, | |
| "learning_rate": 4.817389884711705e-05, | |
| "loss": 0.6613, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 1.8857142857142857, | |
| "grad_norm": 2.527921676635742, | |
| "learning_rate": 4.4531439581106295e-05, | |
| "loss": 0.0827, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 1.9428571428571428, | |
| "grad_norm": 5.816792011260986, | |
| "learning_rate": 4.0918157451028185e-05, | |
| "loss": 0.2566, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 4.379115104675293, | |
| "learning_rate": 3.735333088041596e-05, | |
| "loss": 0.3601, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_loss": 0.6280831694602966, | |
| "eval_runtime": 1.8813, | |
| "eval_samples_per_second": 7.973, | |
| "eval_steps_per_second": 1.063, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 2.057142857142857, | |
| "grad_norm": 5.1028642654418945, | |
| "learning_rate": 3.38559797614277e-05, | |
| "loss": 0.1492, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 2.1142857142857143, | |
| "grad_norm": 1.6019138097763062, | |
| "learning_rate": 3.0444763975492208e-05, | |
| "loss": 0.058, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 2.1714285714285713, | |
| "grad_norm": 3.3319895267486572, | |
| "learning_rate": 2.7137883834768073e-05, | |
| "loss": 0.1912, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 2.2285714285714286, | |
| "grad_norm": 3.3347697257995605, | |
| "learning_rate": 2.3952982975603496e-05, | |
| "loss": 0.1467, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 2.2857142857142856, | |
| "grad_norm": 4.849230766296387, | |
| "learning_rate": 2.090705422210237e-05, | |
| "loss": 0.2343, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.2857142857142856, | |
| "eval_loss": 0.6117228865623474, | |
| "eval_runtime": 1.8795, | |
| "eval_samples_per_second": 7.981, | |
| "eval_steps_per_second": 1.064, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 2.342857142857143, | |
| "grad_norm": 0.7933540344238281, | |
| "learning_rate": 1.801634892205545e-05, | |
| "loss": 0.0241, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 2.4, | |
| "grad_norm": 4.947017192840576, | |
| "learning_rate": 1.5296290238968303e-05, | |
| "loss": 0.1974, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 2.4571428571428573, | |
| "grad_norm": 4.42537784576416, | |
| "learning_rate": 1.2761390862810907e-05, | |
| "loss": 0.2682, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 2.5142857142857142, | |
| "grad_norm": 2.0344936847686768, | |
| "learning_rate": 1.0425175578537299e-05, | |
| "loss": 0.1215, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 2.571428571428571, | |
| "grad_norm": 2.9451773166656494, | |
| "learning_rate": 8.30010910550611e-06, | |
| "loss": 0.1397, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 2.571428571428571, | |
| "eval_loss": 0.567788302898407, | |
| "eval_runtime": 1.8814, | |
| "eval_samples_per_second": 7.973, | |
| "eval_steps_per_second": 1.063, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 2.6285714285714286, | |
| "grad_norm": 4.362372398376465, | |
| "learning_rate": 6.397529592809614e-06, | |
| "loss": 0.1807, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 2.685714285714286, | |
| "grad_norm": 1.7142335176467896, | |
| "learning_rate": 4.727588125342669e-06, | |
| "loss": 0.0381, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 2.742857142857143, | |
| "grad_norm": 5.089944362640381, | |
| "learning_rate": 3.299194563372604e-06, | |
| "loss": 0.7555, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 2.8, | |
| "grad_norm": 2.963768482208252, | |
| "learning_rate": 2.1199700045797077e-06, | |
| "loss": 0.0599, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 2.857142857142857, | |
| "grad_norm": 3.1674277782440186, | |
| "learning_rate": 1.196206122203647e-06, | |
| "loss": 0.0929, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 2.857142857142857, | |
| "eval_loss": 0.5395380854606628, | |
| "eval_runtime": 1.879, | |
| "eval_samples_per_second": 7.983, | |
| "eval_steps_per_second": 1.064, | |
| "step": 50 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 53, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 4, | |
| "save_steps": 25, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": false | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 3.26732322177024e+16, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |