| { | |
| "best_metric": 0.20267261564731598, | |
| "best_model_checkpoint": "NonCompete-Test/checkpoint-52", | |
| "epoch": 13.0, | |
| "eval_steps": 500, | |
| "global_step": 52, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.25, | |
| "grad_norm": Infinity, | |
| "learning_rate": 0.0, | |
| "loss": 0.5877, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.5, | |
| "grad_norm": 6.38834810256958, | |
| "learning_rate": 1.25e-06, | |
| "loss": 0.7, | |
| "step": 2 | |
| }, | |
| { | |
| "epoch": 0.75, | |
| "grad_norm": 5.209357738494873, | |
| "learning_rate": 2.5e-06, | |
| "loss": 0.5835, | |
| "step": 3 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 11.068732261657715, | |
| "learning_rate": 3.75e-06, | |
| "loss": 0.65, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_auc": 0.7000000000000001, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.6488395929336548, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 0.06, | |
| "eval_samples_per_second": 283.11, | |
| "eval_steps_per_second": 16.654, | |
| "step": 4 | |
| }, | |
| { | |
| "epoch": 1.25, | |
| "grad_norm": 4.674075603485107, | |
| "learning_rate": 5e-06, | |
| "loss": 0.5979, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 1.5, | |
| "grad_norm": 3.6536738872528076, | |
| "learning_rate": 6.25e-06, | |
| "loss": 0.5355, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.75, | |
| "grad_norm": 5.9179840087890625, | |
| "learning_rate": 7.5e-06, | |
| "loss": 0.6727, | |
| "step": 7 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 8.177053451538086, | |
| "learning_rate": 8.75e-06, | |
| "loss": 0.6564, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_auc": 0.7000000000000001, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.6269674897193909, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 0.0578, | |
| "eval_samples_per_second": 294.137, | |
| "eval_steps_per_second": 17.302, | |
| "step": 8 | |
| }, | |
| { | |
| "epoch": 2.25, | |
| "grad_norm": Infinity, | |
| "learning_rate": 8.75e-06, | |
| "loss": 0.5595, | |
| "step": 9 | |
| }, | |
| { | |
| "epoch": 2.5, | |
| "grad_norm": 4.788901329040527, | |
| "learning_rate": 1e-05, | |
| "loss": 0.6515, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 2.75, | |
| "grad_norm": 4.311627388000488, | |
| "learning_rate": 1.125e-05, | |
| "loss": 0.5628, | |
| "step": 11 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "grad_norm": 6.801633358001709, | |
| "learning_rate": 1.25e-05, | |
| "loss": 0.3583, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_auc": 0.7666666666666667, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.5773638486862183, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 0.0574, | |
| "eval_samples_per_second": 296.101, | |
| "eval_steps_per_second": 17.418, | |
| "step": 12 | |
| }, | |
| { | |
| "epoch": 3.25, | |
| "grad_norm": 3.5935935974121094, | |
| "learning_rate": 1.3750000000000002e-05, | |
| "loss": 0.5944, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 3.5, | |
| "grad_norm": Infinity, | |
| "learning_rate": 1.3750000000000002e-05, | |
| "loss": 0.5499, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 3.75, | |
| "grad_norm": 5.153175354003906, | |
| "learning_rate": 1.5e-05, | |
| "loss": 0.5126, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "grad_norm": 8.957610130310059, | |
| "learning_rate": 1.6250000000000002e-05, | |
| "loss": 0.508, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_auc": 0.7166666666666667, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.5451947450637817, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 0.0667, | |
| "eval_samples_per_second": 254.97, | |
| "eval_steps_per_second": 14.998, | |
| "step": 16 | |
| }, | |
| { | |
| "epoch": 4.25, | |
| "grad_norm": 5.213046073913574, | |
| "learning_rate": 1.75e-05, | |
| "loss": 0.6059, | |
| "step": 17 | |
| }, | |
| { | |
| "epoch": 4.5, | |
| "grad_norm": Infinity, | |
| "learning_rate": 1.75e-05, | |
| "loss": 0.596, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 4.75, | |
| "grad_norm": 5.471120834350586, | |
| "learning_rate": 1.8750000000000002e-05, | |
| "loss": 0.4574, | |
| "step": 19 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "grad_norm": 6.0362372398376465, | |
| "learning_rate": 2e-05, | |
| "loss": 0.3978, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 5.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_auc": 0.65, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.606438159942627, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 0.0567, | |
| "eval_samples_per_second": 300.085, | |
| "eval_steps_per_second": 17.652, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 5.25, | |
| "grad_norm": 15.422409057617188, | |
| "learning_rate": 2.125e-05, | |
| "loss": 0.5901, | |
| "step": 21 | |
| }, | |
| { | |
| "epoch": 5.5, | |
| "grad_norm": 3.408106565475464, | |
| "learning_rate": 2.25e-05, | |
| "loss": 0.4629, | |
| "step": 22 | |
| }, | |
| { | |
| "epoch": 5.75, | |
| "grad_norm": 4.22088098526001, | |
| "learning_rate": 2.375e-05, | |
| "loss": 0.5596, | |
| "step": 23 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "grad_norm": Infinity, | |
| "learning_rate": 2.375e-05, | |
| "loss": 0.4767, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.7058823529411765, | |
| "eval_auc": 0.6, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.5987117886543274, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 0.0568, | |
| "eval_samples_per_second": 299.558, | |
| "eval_steps_per_second": 17.621, | |
| "step": 24 | |
| }, | |
| { | |
| "epoch": 6.25, | |
| "grad_norm": 2.9963974952697754, | |
| "learning_rate": 2.5e-05, | |
| "loss": 0.4606, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 6.5, | |
| "grad_norm": 4.663226127624512, | |
| "learning_rate": 2.625e-05, | |
| "loss": 0.4368, | |
| "step": 26 | |
| }, | |
| { | |
| "epoch": 6.75, | |
| "grad_norm": 3.2067272663116455, | |
| "learning_rate": 2.7500000000000004e-05, | |
| "loss": 0.4495, | |
| "step": 27 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "grad_norm": 7.059210300445557, | |
| "learning_rate": 2.8749999999999997e-05, | |
| "loss": 0.5914, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 7.0, | |
| "eval_accuracy": 0.7647058823529411, | |
| "eval_auc": 0.75, | |
| "eval_f1": 0.3333333333333333, | |
| "eval_loss": 0.5011345148086548, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.2, | |
| "eval_runtime": 0.057, | |
| "eval_samples_per_second": 298.185, | |
| "eval_steps_per_second": 17.54, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 7.25, | |
| "grad_norm": 3.552440643310547, | |
| "learning_rate": 3e-05, | |
| "loss": 0.2947, | |
| "step": 29 | |
| }, | |
| { | |
| "epoch": 7.5, | |
| "grad_norm": 5.064967155456543, | |
| "learning_rate": 3.125e-05, | |
| "loss": 0.4558, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 7.75, | |
| "grad_norm": 6.062498569488525, | |
| "learning_rate": 3.2500000000000004e-05, | |
| "loss": 0.4291, | |
| "step": 31 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "grad_norm": 12.07767105102539, | |
| "learning_rate": 3.375000000000001e-05, | |
| "loss": 0.4277, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.7647058823529411, | |
| "eval_auc": 0.9166666666666666, | |
| "eval_f1": 0.5, | |
| "eval_loss": 0.40540269017219543, | |
| "eval_precision": 0.6666666666666666, | |
| "eval_recall": 0.4, | |
| "eval_runtime": 0.0578, | |
| "eval_samples_per_second": 293.961, | |
| "eval_steps_per_second": 17.292, | |
| "step": 32 | |
| }, | |
| { | |
| "epoch": 8.25, | |
| "grad_norm": 4.816434860229492, | |
| "learning_rate": 3.5e-05, | |
| "loss": 0.2649, | |
| "step": 33 | |
| }, | |
| { | |
| "epoch": 8.5, | |
| "grad_norm": 5.842213153839111, | |
| "learning_rate": 3.625e-05, | |
| "loss": 0.2945, | |
| "step": 34 | |
| }, | |
| { | |
| "epoch": 8.75, | |
| "grad_norm": 4.9558024406433105, | |
| "learning_rate": 3.7500000000000003e-05, | |
| "loss": 0.2484, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "grad_norm": 5.846200466156006, | |
| "learning_rate": 3.875e-05, | |
| "loss": 0.2677, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 9.0, | |
| "eval_accuracy": 0.7647058823529411, | |
| "eval_auc": 0.6833333333333333, | |
| "eval_f1": 0.3333333333333333, | |
| "eval_loss": 0.4802425503730774, | |
| "eval_precision": 1.0, | |
| "eval_recall": 0.2, | |
| "eval_runtime": 0.0572, | |
| "eval_samples_per_second": 297.166, | |
| "eval_steps_per_second": 17.48, | |
| "step": 36 | |
| }, | |
| { | |
| "epoch": 9.25, | |
| "grad_norm": 3.983147621154785, | |
| "learning_rate": 4e-05, | |
| "loss": 0.1888, | |
| "step": 37 | |
| }, | |
| { | |
| "epoch": 9.5, | |
| "grad_norm": 3.358937978744507, | |
| "learning_rate": 4.125e-05, | |
| "loss": 0.2366, | |
| "step": 38 | |
| }, | |
| { | |
| "epoch": 9.75, | |
| "grad_norm": 3.220496654510498, | |
| "learning_rate": 4.25e-05, | |
| "loss": 0.1501, | |
| "step": 39 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "grad_norm": 6.872381210327148, | |
| "learning_rate": 4.375e-05, | |
| "loss": 0.2008, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.8823529411764706, | |
| "eval_auc": 0.9666666666666667, | |
| "eval_f1": 0.8, | |
| "eval_loss": 0.23314711451530457, | |
| "eval_precision": 0.8, | |
| "eval_recall": 0.8, | |
| "eval_runtime": 0.057, | |
| "eval_samples_per_second": 298.263, | |
| "eval_steps_per_second": 17.545, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 10.25, | |
| "grad_norm": 3.6026062965393066, | |
| "learning_rate": 4.5e-05, | |
| "loss": 0.1339, | |
| "step": 41 | |
| }, | |
| { | |
| "epoch": 10.5, | |
| "grad_norm": 4.244753360748291, | |
| "learning_rate": 4.6250000000000006e-05, | |
| "loss": 0.1435, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 10.75, | |
| "grad_norm": 2.4807896614074707, | |
| "learning_rate": 4.75e-05, | |
| "loss": 0.0886, | |
| "step": 43 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "grad_norm": 1.8359788656234741, | |
| "learning_rate": 4.875e-05, | |
| "loss": 0.063, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 11.0, | |
| "eval_accuracy": 0.8823529411764706, | |
| "eval_auc": 0.9833333333333333, | |
| "eval_f1": 0.8, | |
| "eval_loss": 0.20963242650032043, | |
| "eval_precision": 0.8, | |
| "eval_recall": 0.8, | |
| "eval_runtime": 0.057, | |
| "eval_samples_per_second": 298.411, | |
| "eval_steps_per_second": 17.554, | |
| "step": 44 | |
| }, | |
| { | |
| "epoch": 11.25, | |
| "grad_norm": 1.7810684442520142, | |
| "learning_rate": 5e-05, | |
| "loss": 0.0659, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 11.5, | |
| "grad_norm": 1.6344645023345947, | |
| "learning_rate": 4.986111111111111e-05, | |
| "loss": 0.05, | |
| "step": 46 | |
| }, | |
| { | |
| "epoch": 11.75, | |
| "grad_norm": 1.3671772480010986, | |
| "learning_rate": 4.972222222222223e-05, | |
| "loss": 0.0491, | |
| "step": 47 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "grad_norm": 0.8882291316986084, | |
| "learning_rate": 4.958333333333334e-05, | |
| "loss": 0.0283, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.8823529411764706, | |
| "eval_auc": 0.9666666666666667, | |
| "eval_f1": 0.8, | |
| "eval_loss": 0.26048457622528076, | |
| "eval_precision": 0.8, | |
| "eval_recall": 0.8, | |
| "eval_runtime": 0.057, | |
| "eval_samples_per_second": 298.469, | |
| "eval_steps_per_second": 17.557, | |
| "step": 48 | |
| }, | |
| { | |
| "epoch": 12.25, | |
| "grad_norm": 1.625268816947937, | |
| "learning_rate": 4.9444444444444446e-05, | |
| "loss": 0.0379, | |
| "step": 49 | |
| }, | |
| { | |
| "epoch": 12.5, | |
| "grad_norm": 0.7491352558135986, | |
| "learning_rate": 4.930555555555556e-05, | |
| "loss": 0.0253, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 12.75, | |
| "grad_norm": 0.6248525977134705, | |
| "learning_rate": 4.9166666666666665e-05, | |
| "loss": 0.0211, | |
| "step": 51 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "grad_norm": 0.5918123722076416, | |
| "learning_rate": 4.902777777777778e-05, | |
| "loss": 0.0206, | |
| "step": 52 | |
| }, | |
| { | |
| "epoch": 13.0, | |
| "eval_accuracy": 0.9411764705882353, | |
| "eval_auc": 0.9666666666666667, | |
| "eval_f1": 0.9090909090909091, | |
| "eval_loss": 0.20267261564731598, | |
| "eval_precision": 0.8333333333333334, | |
| "eval_recall": 1.0, | |
| "eval_runtime": 0.0573, | |
| "eval_samples_per_second": 296.92, | |
| "eval_steps_per_second": 17.466, | |
| "step": 52 | |
| } | |
| ], | |
| "logging_steps": 1, | |
| "max_steps": 400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 100, | |
| "save_steps": 500, | |
| "total_flos": 57292432304640.0, | |
| "train_batch_size": 20, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |