|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 10.0, |
|
"eval_steps": 500, |
|
"global_step": 29280, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.17, |
|
"grad_norm": 1.488160490989685, |
|
"learning_rate": 6.25e-05, |
|
"loss": 6.1623, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"grad_norm": 0.9419446587562561, |
|
"learning_rate": 0.000125, |
|
"loss": 3.618, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 1.0650488138198853, |
|
"learning_rate": 0.0001875, |
|
"loss": 3.3416, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"grad_norm": 1.0354753732681274, |
|
"learning_rate": 0.00025, |
|
"loss": 3.1604, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"grad_norm": 0.9344812631607056, |
|
"learning_rate": 0.0003125, |
|
"loss": 3.0469, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.43948088653247, |
|
"eval_loss": 3.010124444961548, |
|
"eval_runtime": 3.3747, |
|
"eval_samples_per_second": 1330.78, |
|
"eval_steps_per_second": 10.668, |
|
"step": 2928 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"grad_norm": 0.9709697365760803, |
|
"learning_rate": 0.000375, |
|
"loss": 2.9646, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"grad_norm": 0.8762878775596619, |
|
"learning_rate": 0.00043750000000000006, |
|
"loss": 2.8683, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"grad_norm": 0.8630770444869995, |
|
"learning_rate": 0.0005, |
|
"loss": 2.8084, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"grad_norm": 0.8325084447860718, |
|
"learning_rate": 0.0005625000000000001, |
|
"loss": 2.773, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"grad_norm": 0.7819183468818665, |
|
"learning_rate": 0.000625, |
|
"loss": 2.7315, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"grad_norm": 0.7667275667190552, |
|
"learning_rate": 0.0006875, |
|
"loss": 2.7142, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.46125496837945357, |
|
"eval_loss": 2.7790303230285645, |
|
"eval_runtime": 3.436, |
|
"eval_samples_per_second": 1307.031, |
|
"eval_steps_per_second": 10.477, |
|
"step": 5856 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"grad_norm": 0.7901221513748169, |
|
"learning_rate": 0.00075, |
|
"loss": 2.664, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"grad_norm": 0.7636890411376953, |
|
"learning_rate": 0.0008125, |
|
"loss": 2.6219, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"grad_norm": 0.722453236579895, |
|
"learning_rate": 0.0008750000000000001, |
|
"loss": 2.6068, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"grad_norm": 0.7329472303390503, |
|
"learning_rate": 0.0009375, |
|
"loss": 2.6052, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"grad_norm": 0.6657545566558838, |
|
"learning_rate": 0.001, |
|
"loss": 2.5877, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"grad_norm": 0.6002160906791687, |
|
"learning_rate": 0.0010625, |
|
"loss": 2.5841, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.4693832108661768, |
|
"eval_loss": 2.6902520656585693, |
|
"eval_runtime": 3.4276, |
|
"eval_samples_per_second": 1310.233, |
|
"eval_steps_per_second": 10.503, |
|
"step": 8784 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"grad_norm": 0.6292432546615601, |
|
"learning_rate": 0.0011250000000000001, |
|
"loss": 2.537, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"grad_norm": 0.5978102684020996, |
|
"learning_rate": 0.0011875, |
|
"loss": 2.5072, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"grad_norm": 0.5643737316131592, |
|
"learning_rate": 0.00125, |
|
"loss": 2.5165, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"grad_norm": 0.5356239080429077, |
|
"learning_rate": 0.0013125, |
|
"loss": 2.5138, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 3.76, |
|
"grad_norm": 0.5515431761741638, |
|
"learning_rate": 0.001375, |
|
"loss": 2.5133, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"grad_norm": 0.47632288932800293, |
|
"learning_rate": 0.0014375000000000002, |
|
"loss": 2.5089, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.47639460899050945, |
|
"eval_loss": 2.63588547706604, |
|
"eval_runtime": 3.3985, |
|
"eval_samples_per_second": 1321.47, |
|
"eval_steps_per_second": 10.593, |
|
"step": 11712 |
|
}, |
|
{ |
|
"epoch": 4.1, |
|
"grad_norm": 0.4891969561576843, |
|
"learning_rate": 0.0015, |
|
"loss": 2.4601, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"grad_norm": 0.4287746548652649, |
|
"learning_rate": 0.0015625, |
|
"loss": 2.4371, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"grad_norm": 0.43466711044311523, |
|
"learning_rate": 0.001625, |
|
"loss": 2.4523, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 4.61, |
|
"grad_norm": 0.417784720659256, |
|
"learning_rate": 0.0016875, |
|
"loss": 2.4623, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 4.78, |
|
"grad_norm": 0.4051859974861145, |
|
"learning_rate": 0.0017500000000000003, |
|
"loss": 2.4674, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"grad_norm": 0.40950262546539307, |
|
"learning_rate": 0.0018124999999999999, |
|
"loss": 2.4566, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.4807094503968567, |
|
"eval_loss": 2.602451801300049, |
|
"eval_runtime": 3.3747, |
|
"eval_samples_per_second": 1330.789, |
|
"eval_steps_per_second": 10.668, |
|
"step": 14640 |
|
}, |
|
{ |
|
"epoch": 5.12, |
|
"grad_norm": 0.39824172854423523, |
|
"learning_rate": 0.001875, |
|
"loss": 2.4126, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 5.29, |
|
"grad_norm": 0.3892059326171875, |
|
"learning_rate": 0.0019375000000000002, |
|
"loss": 2.3928, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 5.46, |
|
"grad_norm": 0.3697751462459564, |
|
"learning_rate": 0.002, |
|
"loss": 2.4102, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 5.64, |
|
"grad_norm": 0.38204559683799744, |
|
"learning_rate": 0.0020625, |
|
"loss": 2.416, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 5.81, |
|
"grad_norm": 0.3960261642932892, |
|
"learning_rate": 0.002125, |
|
"loss": 2.4218, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 5.98, |
|
"grad_norm": 0.30173224210739136, |
|
"learning_rate": 0.0021874999999999998, |
|
"loss": 2.4168, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.4828274221233368, |
|
"eval_loss": 2.5854403972625732, |
|
"eval_runtime": 3.3792, |
|
"eval_samples_per_second": 1329.014, |
|
"eval_steps_per_second": 10.653, |
|
"step": 17568 |
|
}, |
|
{ |
|
"epoch": 6.15, |
|
"grad_norm": 0.30894598364830017, |
|
"learning_rate": 0.0022500000000000003, |
|
"loss": 2.357, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 6.32, |
|
"grad_norm": 0.36697593331336975, |
|
"learning_rate": 0.0023125000000000003, |
|
"loss": 2.36, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 6.49, |
|
"grad_norm": 0.3668546974658966, |
|
"learning_rate": 0.002375, |
|
"loss": 2.3825, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 6.66, |
|
"grad_norm": 0.3038611114025116, |
|
"learning_rate": 0.0024375, |
|
"loss": 2.3875, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 6.83, |
|
"grad_norm": 0.290789395570755, |
|
"learning_rate": 0.0025, |
|
"loss": 2.3886, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.4851137094837093, |
|
"eval_loss": 2.5672802925109863, |
|
"eval_runtime": 3.3776, |
|
"eval_samples_per_second": 1329.659, |
|
"eval_steps_per_second": 10.659, |
|
"step": 20496 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.2979215681552887, |
|
"learning_rate": 0.0025625, |
|
"loss": 2.3835, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 7.17, |
|
"grad_norm": 0.2849644422531128, |
|
"learning_rate": 0.002625, |
|
"loss": 2.3134, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 7.34, |
|
"grad_norm": 0.37557193636894226, |
|
"learning_rate": 0.0026875000000000002, |
|
"loss": 2.3387, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"grad_norm": 0.3276946544647217, |
|
"learning_rate": 0.00275, |
|
"loss": 2.3492, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 7.68, |
|
"grad_norm": 0.30562373995780945, |
|
"learning_rate": 0.0028125, |
|
"loss": 2.3541, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"grad_norm": 0.32304540276527405, |
|
"learning_rate": 0.0028750000000000004, |
|
"loss": 2.3618, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.4873631777991679, |
|
"eval_loss": 2.556323528289795, |
|
"eval_runtime": 3.3854, |
|
"eval_samples_per_second": 1326.589, |
|
"eval_steps_per_second": 10.634, |
|
"step": 23424 |
|
}, |
|
{ |
|
"epoch": 8.03, |
|
"grad_norm": 0.30651578307151794, |
|
"learning_rate": 0.0029375, |
|
"loss": 2.3431, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 8.2, |
|
"grad_norm": 0.33351045846939087, |
|
"learning_rate": 0.003, |
|
"loss": 2.2909, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 8.37, |
|
"grad_norm": 0.36140263080596924, |
|
"learning_rate": 0.002715909090909091, |
|
"loss": 2.3174, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 8.54, |
|
"grad_norm": 0.32251298427581787, |
|
"learning_rate": 0.0024318181818181817, |
|
"loss": 2.2999, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"grad_norm": 0.3153398931026459, |
|
"learning_rate": 0.002147727272727273, |
|
"loss": 2.2891, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 8.88, |
|
"grad_norm": 0.2726821005344391, |
|
"learning_rate": 0.0018636363636363638, |
|
"loss": 2.2757, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.493145521138515, |
|
"eval_loss": 2.502424955368042, |
|
"eval_runtime": 3.3675, |
|
"eval_samples_per_second": 1333.647, |
|
"eval_steps_per_second": 10.691, |
|
"step": 26352 |
|
}, |
|
{ |
|
"epoch": 9.05, |
|
"grad_norm": 0.29384592175483704, |
|
"learning_rate": 0.0015795454545454546, |
|
"loss": 2.2495, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 9.22, |
|
"grad_norm": 0.343348890542984, |
|
"learning_rate": 0.0012954545454545456, |
|
"loss": 2.176, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 9.39, |
|
"grad_norm": 0.31881004571914673, |
|
"learning_rate": 0.0010113636363636364, |
|
"loss": 2.1687, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 9.56, |
|
"grad_norm": 0.3788747787475586, |
|
"learning_rate": 0.0007272727272727273, |
|
"loss": 2.1582, |
|
"step": 28000 |
|
}, |
|
{ |
|
"epoch": 9.73, |
|
"grad_norm": 0.3564055860042572, |
|
"learning_rate": 0.0004431818181818182, |
|
"loss": 2.1505, |
|
"step": 28500 |
|
}, |
|
{ |
|
"epoch": 9.9, |
|
"grad_norm": 0.28436481952667236, |
|
"learning_rate": 0.0001590909090909091, |
|
"loss": 2.139, |
|
"step": 29000 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.5000622417187831, |
|
"eval_loss": 2.4731357097625732, |
|
"eval_runtime": 3.4247, |
|
"eval_samples_per_second": 1311.358, |
|
"eval_steps_per_second": 10.512, |
|
"step": 29280 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 29280, |
|
"total_flos": 2273237316403200.0, |
|
"train_loss": 2.5646611927636984, |
|
"train_runtime": 771.972, |
|
"train_samples_per_second": 606.822, |
|
"train_steps_per_second": 37.929 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 29280, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 2000, |
|
"total_flos": 2273237316403200.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|