{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.6, "eval_steps": 100, "global_step": 1200, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0125, "grad_norm": 7352.2265625, "learning_rate": 1.6000000000000003e-05, "loss": 175.5381, "step": 25 }, { "epoch": 0.025, "grad_norm": 2155.41015625, "learning_rate": 3.266666666666667e-05, "loss": 174.6277, "step": 50 }, { "epoch": 0.0375, "grad_norm": 29.340621948242188, "learning_rate": 4.933333333333334e-05, "loss": 157.9852, "step": 75 }, { "epoch": 0.05, "grad_norm": 11.753185272216797, "learning_rate": 6.6e-05, "loss": 133.1257, "step": 100 }, { "epoch": 0.05, "eval_accuracy": 0.08756986554511534, "eval_loss": 7.706512928009033, "eval_runtime": 7.3236, "eval_samples_per_second": 66.224, "eval_steps_per_second": 2.185, "step": 100 }, { "epoch": 0.0625, "grad_norm": 11.1610746383667, "learning_rate": 8.266666666666667e-05, "loss": 119.0136, "step": 125 }, { "epoch": 0.075, "grad_norm": 7.337241172790527, "learning_rate": 9.933333333333334e-05, "loss": 113.2304, "step": 150 }, { "epoch": 0.0875, "grad_norm": 9.895074844360352, "learning_rate": 9.995847987378953e-05, "loss": 109.5068, "step": 175 }, { "epoch": 0.1, "grad_norm": 8.935585975646973, "learning_rate": 9.982700328363471e-05, "loss": 107.0186, "step": 200 }, { "epoch": 0.1, "eval_accuracy": 0.13644318107230674, "eval_loss": 6.609853267669678, "eval_runtime": 7.4218, "eval_samples_per_second": 65.348, "eval_steps_per_second": 2.156, "step": 200 }, { "epoch": 0.1125, "grad_norm": 17.207761764526367, "learning_rate": 9.96057350657239e-05, "loss": 105.3798, "step": 225 }, { "epoch": 0.125, "grad_norm": 37.589744567871094, "learning_rate": 9.929507396034141e-05, "loss": 103.9933, "step": 250 }, { "epoch": 0.1375, "grad_norm": 48.09913635253906, "learning_rate": 9.889557979979694e-05, "loss": 103.0857, "step": 275 }, { "epoch": 0.15, "grad_norm": 18.950061798095703, "learning_rate": 9.840797249956985e-05, "loss": 102.3462, "step": 300 }, { "epoch": 0.15, "eval_accuracy": 0.14476797317970908, "eval_loss": 6.367699146270752, "eval_runtime": 7.5111, "eval_samples_per_second": 64.571, "eval_steps_per_second": 2.13, "step": 300 }, { "epoch": 0.1625, "grad_norm": 54.86927032470703, "learning_rate": 9.783313076097283e-05, "loss": 101.6082, "step": 325 }, { "epoch": 0.175, "grad_norm": 14.090791702270508, "learning_rate": 9.717209048767277e-05, "loss": 100.8465, "step": 350 }, { "epoch": 0.1875, "grad_norm": 42.630802154541016, "learning_rate": 9.642604291892226e-05, "loss": 99.9092, "step": 375 }, { "epoch": 0.2, "grad_norm": 12.524935722351074, "learning_rate": 9.559633248286604e-05, "loss": 99.0524, "step": 400 }, { "epoch": 0.2, "eval_accuracy": 0.15310791228876244, "eval_loss": 6.214518070220947, "eval_runtime": 7.3913, "eval_samples_per_second": 65.618, "eval_steps_per_second": 2.165, "step": 400 }, { "epoch": 0.2125, "grad_norm": 22.39153480529785, "learning_rate": 9.468445437379055e-05, "loss": 98.4639, "step": 425 }, { "epoch": 0.225, "grad_norm": 20.86402702331543, "learning_rate": 9.369205185768272e-05, "loss": 97.6668, "step": 450 }, { "epoch": 0.2375, "grad_norm": 15.403814315795898, "learning_rate": 9.262091331095375e-05, "loss": 97.1439, "step": 475 }, { "epoch": 0.25, "grad_norm": 18.481685638427734, "learning_rate": 9.147296899766376e-05, "loss": 96.6031, "step": 500 }, { "epoch": 0.25, "eval_accuracy": 0.1584204706678313, "eval_loss": 6.100996494293213, "eval_runtime": 7.4101, "eval_samples_per_second": 65.451, "eval_steps_per_second": 2.159, "step": 500 }, { "epoch": 0.2625, "grad_norm": 19.892127990722656, "learning_rate": 9.025028759105558e-05, "loss": 96.2492, "step": 525 }, { "epoch": 0.275, "grad_norm": 20.713096618652344, "learning_rate": 8.895507244566574e-05, "loss": 96.3436, "step": 550 }, { "epoch": 0.2875, "grad_norm": 12.466355323791504, "learning_rate": 8.758965762673064e-05, "loss": 96.5737, "step": 575 }, { "epoch": 0.3, "grad_norm": 21.678146362304688, "learning_rate": 8.615650370404327e-05, "loss": 95.9314, "step": 600 }, { "epoch": 0.3, "eval_accuracy": 0.163982449674087, "eval_loss": 5.986855983734131, "eval_runtime": 7.6235, "eval_samples_per_second": 63.619, "eval_steps_per_second": 2.099, "step": 600 }, { "epoch": 0.3125, "grad_norm": 20.58213233947754, "learning_rate": 8.465819331784009e-05, "loss": 96.2906, "step": 625 }, { "epoch": 0.325, "grad_norm": 14.315438270568848, "learning_rate": 8.30974265247088e-05, "loss": 95.9487, "step": 650 }, { "epoch": 0.3375, "grad_norm": 12.04114818572998, "learning_rate": 8.147701593190385e-05, "loss": 95.4309, "step": 675 }, { "epoch": 0.35, "grad_norm": 22.478317260742188, "learning_rate": 7.979988162883804e-05, "loss": 95.0101, "step": 700 }, { "epoch": 0.35, "eval_accuracy": 0.16826703154110645, "eval_loss": 5.88900899887085, "eval_runtime": 7.5208, "eval_samples_per_second": 64.487, "eval_steps_per_second": 2.127, "step": 700 }, { "epoch": 0.3625, "grad_norm": 50.81674575805664, "learning_rate": 7.806904592488408e-05, "loss": 94.8858, "step": 725 }, { "epoch": 0.375, "grad_norm": 20.65149688720703, "learning_rate": 7.628762790296879e-05, "loss": 95.0119, "step": 750 }, { "epoch": 0.3875, "grad_norm": 22.1734619140625, "learning_rate": 7.445883779877482e-05, "loss": 94.6604, "step": 775 }, { "epoch": 0.4, "grad_norm": 20.18880844116211, "learning_rate": 7.258597121567904e-05, "loss": 94.2643, "step": 800 }, { "epoch": 0.4, "eval_accuracy": 0.17154484269838785, "eval_loss": 5.828437328338623, "eval_runtime": 7.4208, "eval_samples_per_second": 65.357, "eval_steps_per_second": 2.156, "step": 800 }, { "epoch": 0.4125, "grad_norm": 35.1305046081543, "learning_rate": 7.067240318585242e-05, "loss": 94.3216, "step": 825 }, { "epoch": 0.425, "grad_norm": 9.143704414367676, "learning_rate": 6.872158208822398e-05, "loss": 93.9239, "step": 850 }, { "epoch": 0.4375, "grad_norm": 9.495540618896484, "learning_rate": 6.673702343426894e-05, "loss": 93.8027, "step": 875 }, { "epoch": 0.45, "grad_norm": 19.112733840942383, "learning_rate": 6.472230353281925e-05, "loss": 93.2266, "step": 900 }, { "epoch": 0.45, "eval_accuracy": 0.17456010582705153, "eval_loss": 5.77442741394043, "eval_runtime": 7.4706, "eval_samples_per_second": 64.921, "eval_steps_per_second": 2.142, "step": 900 }, { "epoch": 0.4625, "grad_norm": 13.373994827270508, "learning_rate": 6.268105304531354e-05, "loss": 92.7674, "step": 925 }, { "epoch": 0.475, "grad_norm": 20.701358795166016, "learning_rate": 6.061695044309973e-05, "loss": 92.4968, "step": 950 }, { "epoch": 0.4875, "grad_norm": 13.155655860900879, "learning_rate": 5.8533715378581e-05, "loss": 92.2234, "step": 975 }, { "epoch": 0.5, "grad_norm": 46.88108444213867, "learning_rate": 5.643510198215082e-05, "loss": 92.0125, "step": 1000 }, { "epoch": 0.5, "eval_accuracy": 0.17633533442055147, "eval_loss": 5.7336883544921875, "eval_runtime": 7.3739, "eval_samples_per_second": 65.773, "eval_steps_per_second": 2.17, "step": 1000 }, { "epoch": 0.5125, "grad_norm": 482.2004699707031, "learning_rate": 5.432489209699614e-05, "loss": 93.2148, "step": 1025 }, { "epoch": 0.525, "grad_norm": 297.8095703125, "learning_rate": 5.220688846396047e-05, "loss": 95.0004, "step": 1050 }, { "epoch": 0.5375, "grad_norm": 332.8581848144531, "learning_rate": 5.0084907868747746e-05, "loss": 95.3143, "step": 1075 }, { "epoch": 0.55, "grad_norm": 9733.95703125, "learning_rate": 4.796277426381657e-05, "loss": 95.8613, "step": 1100 }, { "epoch": 0.55, "eval_accuracy": 0.1554284329416992, "eval_loss": 6.006833553314209, "eval_runtime": 7.2985, "eval_samples_per_second": 66.452, "eval_steps_per_second": 2.192, "step": 1100 }, { "epoch": 0.5625, "grad_norm": 1343.75537109375, "learning_rate": 4.5844311877359384e-05, "loss": 96.7118, "step": 1125 }, { "epoch": 0.575, "grad_norm": 234.01663208007812, "learning_rate": 4.373333832178478e-05, "loss": 97.3733, "step": 1150 }, { "epoch": 0.5875, "grad_norm": 868.69921875, "learning_rate": 4.1633657714122e-05, "loss": 97.8172, "step": 1175 }, { "epoch": 0.6, "grad_norm": 370.631591796875, "learning_rate": 3.954905382074478e-05, "loss": 98.1012, "step": 1200 }, { "epoch": 0.6, "eval_accuracy": 0.14907376084903992, "eval_loss": 6.105465888977051, "eval_runtime": 7.4782, "eval_samples_per_second": 64.855, "eval_steps_per_second": 2.14, "step": 1200 } ], "logging_steps": 25, "max_steps": 2000, "num_input_tokens_seen": 0, "num_train_epochs": 9223372036854775807, "save_steps": 300, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 8.026688285835264e+17, "train_batch_size": 64, "trial_name": null, "trial_params": null }