|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 10.0, |
|
"eval_steps": 248, |
|
"global_step": 2480, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 3e-05, |
|
"loss": 2.8428, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 3e-05, |
|
"loss": 2.1589, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 3e-05, |
|
"loss": 2.0527, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.81, |
|
"learning_rate": 3e-05, |
|
"loss": 1.9823, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6398457059679767, |
|
"eval_loss": 1.6149228811264038, |
|
"eval_runtime": 17.4504, |
|
"eval_samples_per_second": 28.653, |
|
"eval_steps_per_second": 1.834, |
|
"step": 248 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_exact_match": 9.0, |
|
"eval_f1": 13.45666666666666, |
|
"eval_qa_bleu": 7.063432441196736, |
|
"eval_qa_exact_match": 0.09, |
|
"eval_recite_bleu": 15.344658855358656, |
|
"eval_recite_exact_match": 0.0, |
|
"step": 248 |
|
}, |
|
{ |
|
"epoch": 1.01, |
|
"learning_rate": 3e-05, |
|
"loss": 1.9153, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 1.21, |
|
"learning_rate": 3e-05, |
|
"loss": 1.49, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.41, |
|
"learning_rate": 3e-05, |
|
"loss": 1.4406, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 1.61, |
|
"learning_rate": 3e-05, |
|
"loss": 1.4161, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.81, |
|
"learning_rate": 3e-05, |
|
"loss": 1.3868, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.6700320232896652, |
|
"eval_loss": 1.1928881406784058, |
|
"eval_runtime": 15.4486, |
|
"eval_samples_per_second": 32.365, |
|
"eval_steps_per_second": 2.071, |
|
"step": 496 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_exact_match": 9.2, |
|
"eval_f1": 14.735098500533276, |
|
"eval_qa_bleu": 7.255412763224127, |
|
"eval_qa_exact_match": 0.088, |
|
"eval_recite_bleu": 17.979965007898493, |
|
"eval_recite_exact_match": 0.0, |
|
"step": 496 |
|
}, |
|
{ |
|
"epoch": 2.02, |
|
"learning_rate": 3e-05, |
|
"loss": 1.309, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 3e-05, |
|
"loss": 0.9401, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 2.42, |
|
"learning_rate": 3e-05, |
|
"loss": 0.9429, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.62, |
|
"learning_rate": 3e-05, |
|
"loss": 0.9115, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 2.82, |
|
"learning_rate": 3e-05, |
|
"loss": 0.9102, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.6992489082969432, |
|
"eval_loss": 0.8513368368148804, |
|
"eval_runtime": 15.7421, |
|
"eval_samples_per_second": 31.762, |
|
"eval_steps_per_second": 2.033, |
|
"step": 744 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_exact_match": 10.2, |
|
"eval_f1": 15.888450046685344, |
|
"eval_qa_bleu": 7.2379640900667646, |
|
"eval_qa_exact_match": 0.098, |
|
"eval_recite_bleu": 20.876580135938546, |
|
"eval_recite_exact_match": 0.0, |
|
"step": 744 |
|
}, |
|
{ |
|
"epoch": 3.02, |
|
"learning_rate": 3e-05, |
|
"loss": 0.8302, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 3.23, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5813, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 3.43, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5844, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 3.63, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5776, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 3.83, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5869, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.721787481804949, |
|
"eval_loss": 0.6180558204650879, |
|
"eval_runtime": 15.5183, |
|
"eval_samples_per_second": 32.22, |
|
"eval_steps_per_second": 2.062, |
|
"step": 992 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_exact_match": 13.6, |
|
"eval_f1": 19.457685255920552, |
|
"eval_qa_bleu": 7.372812651620524, |
|
"eval_qa_exact_match": 0.126, |
|
"eval_recite_bleu": 24.119469757278573, |
|
"eval_recite_exact_match": 0.0, |
|
"step": 992 |
|
}, |
|
{ |
|
"epoch": 4.03, |
|
"learning_rate": 3e-05, |
|
"loss": 0.5394, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.23, |
|
"learning_rate": 3e-05, |
|
"loss": 0.3787, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"learning_rate": 3e-05, |
|
"loss": 0.3865, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 4.64, |
|
"learning_rate": 3e-05, |
|
"loss": 0.3734, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 4.84, |
|
"learning_rate": 3e-05, |
|
"loss": 0.364, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7352052401746725, |
|
"eval_loss": 0.49626532196998596, |
|
"eval_runtime": 15.762, |
|
"eval_samples_per_second": 31.722, |
|
"eval_steps_per_second": 2.03, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_exact_match": 11.6, |
|
"eval_f1": 17.050505050505052, |
|
"eval_qa_bleu": 9.3668737780184, |
|
"eval_qa_exact_match": 0.114, |
|
"eval_recite_bleu": 28.6471128712922, |
|
"eval_recite_exact_match": 0.004, |
|
"step": 1240 |
|
}, |
|
{ |
|
"epoch": 5.04, |
|
"learning_rate": 3e-05, |
|
"loss": 0.345, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 5.24, |
|
"learning_rate": 3e-05, |
|
"loss": 0.2508, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 5.44, |
|
"learning_rate": 3e-05, |
|
"loss": 0.26, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 5.65, |
|
"learning_rate": 3e-05, |
|
"loss": 0.2618, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 5.85, |
|
"learning_rate": 3e-05, |
|
"loss": 0.2706, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.7419825327510917, |
|
"eval_loss": 0.441346138715744, |
|
"eval_runtime": 15.4217, |
|
"eval_samples_per_second": 32.422, |
|
"eval_steps_per_second": 2.075, |
|
"step": 1488 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_exact_match": 17.6, |
|
"eval_f1": 23.964126984126988, |
|
"eval_qa_bleu": 13.1735935431327, |
|
"eval_qa_exact_match": 0.164, |
|
"eval_recite_bleu": 35.20769002447571, |
|
"eval_recite_exact_match": 0.008, |
|
"step": 1488 |
|
}, |
|
{ |
|
"epoch": 6.05, |
|
"learning_rate": 3e-05, |
|
"loss": 0.2459, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1802, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 6.45, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1853, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 6.65, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1905, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 6.85, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1906, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.7457903930131005, |
|
"eval_loss": 0.4084840714931488, |
|
"eval_runtime": 15.7338, |
|
"eval_samples_per_second": 31.779, |
|
"eval_steps_per_second": 2.034, |
|
"step": 1736 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_exact_match": 20.2, |
|
"eval_f1": 25.946536796536805, |
|
"eval_qa_bleu": 13.109935567750034, |
|
"eval_qa_exact_match": 0.198, |
|
"eval_recite_bleu": 41.370445416956926, |
|
"eval_recite_exact_match": 0.018, |
|
"step": 1736 |
|
}, |
|
{ |
|
"epoch": 7.06, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1735, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 7.26, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1402, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 7.46, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1423, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 7.66, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1468, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1474, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.7476826783114993, |
|
"eval_loss": 0.4009522497653961, |
|
"eval_runtime": 15.0512, |
|
"eval_samples_per_second": 33.22, |
|
"eval_steps_per_second": 2.126, |
|
"step": 1984 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_exact_match": 17.4, |
|
"eval_f1": 24.613044733044738, |
|
"eval_qa_bleu": 11.328428780013391, |
|
"eval_qa_exact_match": 0.162, |
|
"eval_recite_bleu": 45.62279446830165, |
|
"eval_recite_exact_match": 0.036, |
|
"step": 1984 |
|
}, |
|
{ |
|
"epoch": 8.06, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1383, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 8.27, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1181, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 8.47, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1212, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 8.67, |
|
"learning_rate": 3e-05, |
|
"loss": 0.118, |
|
"step": 2150 |
|
}, |
|
{ |
|
"epoch": 8.87, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1264, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.7484366812227075, |
|
"eval_loss": 0.39788317680358887, |
|
"eval_runtime": 15.8038, |
|
"eval_samples_per_second": 31.638, |
|
"eval_steps_per_second": 2.025, |
|
"step": 2232 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_exact_match": 16.4, |
|
"eval_f1": 23.748124098124105, |
|
"eval_qa_bleu": 10.821376307326117, |
|
"eval_qa_exact_match": 0.148, |
|
"eval_recite_bleu": 46.63269966666572, |
|
"eval_recite_exact_match": 0.04, |
|
"step": 2232 |
|
}, |
|
{ |
|
"epoch": 9.07, |
|
"learning_rate": 3e-05, |
|
"loss": 0.121, |
|
"step": 2250 |
|
}, |
|
{ |
|
"epoch": 9.27, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1036, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 9.48, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1053, |
|
"step": 2350 |
|
}, |
|
{ |
|
"epoch": 9.68, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1129, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 9.88, |
|
"learning_rate": 3e-05, |
|
"loss": 0.1091, |
|
"step": 2450 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.7487336244541485, |
|
"eval_loss": 0.4059823751449585, |
|
"eval_runtime": 15.4716, |
|
"eval_samples_per_second": 32.317, |
|
"eval_steps_per_second": 2.068, |
|
"step": 2480 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_exact_match": 16.6, |
|
"eval_f1": 24.02516483516484, |
|
"eval_qa_bleu": 9.045796919947849, |
|
"eval_qa_exact_match": 0.156, |
|
"eval_recite_bleu": 50.48708434203323, |
|
"eval_recite_exact_match": 0.042, |
|
"step": 2480 |
|
} |
|
], |
|
"logging_steps": 50, |
|
"max_steps": 4960, |
|
"num_train_epochs": 20, |
|
"save_steps": 500, |
|
"total_flos": 1.152564234928128e+17, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|