|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 9.562841530054644, |
|
"eval_steps": 500, |
|
"global_step": 28000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.17, |
|
"grad_norm": 1.2976419925689697, |
|
"learning_rate": 6.25e-05, |
|
"loss": 6.1408, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"grad_norm": 0.9176012277603149, |
|
"learning_rate": 0.000125, |
|
"loss": 3.6186, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"grad_norm": 1.0713545083999634, |
|
"learning_rate": 0.0001875, |
|
"loss": 3.337, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"grad_norm": 0.9314835667610168, |
|
"learning_rate": 0.00025, |
|
"loss": 3.1944, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"grad_norm": 1.087267279624939, |
|
"learning_rate": 0.0003125, |
|
"loss": 3.0603, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.4366931588461262, |
|
"eval_loss": 3.025468111038208, |
|
"eval_runtime": 3.375, |
|
"eval_samples_per_second": 1330.682, |
|
"eval_steps_per_second": 10.667, |
|
"step": 2928 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"grad_norm": 0.9429690837860107, |
|
"learning_rate": 0.000375, |
|
"loss": 2.9476, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"grad_norm": 0.950432300567627, |
|
"learning_rate": 0.00043750000000000006, |
|
"loss": 2.8889, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.37, |
|
"grad_norm": 0.9229320287704468, |
|
"learning_rate": 0.0005, |
|
"loss": 2.8218, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"grad_norm": 0.844063937664032, |
|
"learning_rate": 0.0005625000000000001, |
|
"loss": 2.777, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 1.71, |
|
"grad_norm": 0.8429157137870789, |
|
"learning_rate": 0.000625, |
|
"loss": 2.7377, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"grad_norm": 0.8256997466087341, |
|
"learning_rate": 0.0006875, |
|
"loss": 2.7088, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.4579552806400202, |
|
"eval_loss": 2.78731632232666, |
|
"eval_runtime": 3.4275, |
|
"eval_samples_per_second": 1310.267, |
|
"eval_steps_per_second": 10.503, |
|
"step": 5856 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"grad_norm": 0.7644203901290894, |
|
"learning_rate": 0.00075, |
|
"loss": 2.6787, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"grad_norm": 0.8065159320831299, |
|
"learning_rate": 0.0008125, |
|
"loss": 2.6291, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"grad_norm": 0.7839713096618652, |
|
"learning_rate": 0.0008750000000000001, |
|
"loss": 2.6217, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"grad_norm": 0.7241440415382385, |
|
"learning_rate": 0.0009375, |
|
"loss": 2.6003, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"grad_norm": 0.7345842719078064, |
|
"learning_rate": 0.001, |
|
"loss": 2.6077, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"grad_norm": 0.670850396156311, |
|
"learning_rate": 0.0010625, |
|
"loss": 2.586, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.4688046258746715, |
|
"eval_loss": 2.695575714111328, |
|
"eval_runtime": 3.4412, |
|
"eval_samples_per_second": 1305.068, |
|
"eval_steps_per_second": 10.461, |
|
"step": 8784 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"grad_norm": 0.6207906603813171, |
|
"learning_rate": 0.0011250000000000001, |
|
"loss": 2.5489, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"grad_norm": 0.5981828570365906, |
|
"learning_rate": 0.0011875, |
|
"loss": 2.5196, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 3.42, |
|
"grad_norm": 0.593421995639801, |
|
"learning_rate": 0.00125, |
|
"loss": 2.5176, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 3.59, |
|
"grad_norm": 0.5348471999168396, |
|
"learning_rate": 0.0013125, |
|
"loss": 2.5265, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 3.76, |
|
"grad_norm": 0.5802651047706604, |
|
"learning_rate": 0.001375, |
|
"loss": 2.5181, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 3.93, |
|
"grad_norm": 0.4744044542312622, |
|
"learning_rate": 0.0014375000000000002, |
|
"loss": 2.5037, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.4771555359187316, |
|
"eval_loss": 2.6362032890319824, |
|
"eval_runtime": 3.3838, |
|
"eval_samples_per_second": 1327.204, |
|
"eval_steps_per_second": 10.639, |
|
"step": 11712 |
|
}, |
|
{ |
|
"epoch": 4.1, |
|
"grad_norm": 0.5075201392173767, |
|
"learning_rate": 0.0015, |
|
"loss": 2.4663, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 4.27, |
|
"grad_norm": 0.47369861602783203, |
|
"learning_rate": 0.0015625, |
|
"loss": 2.4459, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 4.44, |
|
"grad_norm": 0.41244271397590637, |
|
"learning_rate": 0.001625, |
|
"loss": 2.4541, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 4.61, |
|
"grad_norm": 0.4284743070602417, |
|
"learning_rate": 0.0016875, |
|
"loss": 2.4717, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 4.78, |
|
"grad_norm": 0.4499437212944031, |
|
"learning_rate": 0.0017500000000000003, |
|
"loss": 2.4669, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 4.95, |
|
"grad_norm": 0.36233699321746826, |
|
"learning_rate": 0.0018124999999999999, |
|
"loss": 2.466, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.4786510904573802, |
|
"eval_loss": 2.612313985824585, |
|
"eval_runtime": 3.4422, |
|
"eval_samples_per_second": 1304.691, |
|
"eval_steps_per_second": 10.458, |
|
"step": 14640 |
|
}, |
|
{ |
|
"epoch": 5.12, |
|
"grad_norm": 0.444653183221817, |
|
"learning_rate": 0.001875, |
|
"loss": 2.405, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 5.29, |
|
"grad_norm": 0.41395285725593567, |
|
"learning_rate": 0.0019375000000000002, |
|
"loss": 2.4002, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 5.46, |
|
"grad_norm": 0.38018137216567993, |
|
"learning_rate": 0.002, |
|
"loss": 2.4142, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 5.64, |
|
"grad_norm": 0.3837694823741913, |
|
"learning_rate": 0.0020625, |
|
"loss": 2.4187, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 5.81, |
|
"grad_norm": 0.36019667983055115, |
|
"learning_rate": 0.002125, |
|
"loss": 2.4364, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 5.98, |
|
"grad_norm": 0.317461222410202, |
|
"learning_rate": 0.0021874999999999998, |
|
"loss": 2.4203, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.48276605704848014, |
|
"eval_loss": 2.587817430496216, |
|
"eval_runtime": 3.4189, |
|
"eval_samples_per_second": 1313.564, |
|
"eval_steps_per_second": 10.53, |
|
"step": 17568 |
|
}, |
|
{ |
|
"epoch": 6.15, |
|
"grad_norm": 0.32134848833084106, |
|
"learning_rate": 0.0022500000000000003, |
|
"loss": 2.3565, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 6.32, |
|
"grad_norm": 0.36488619446754456, |
|
"learning_rate": 0.0023125000000000003, |
|
"loss": 2.3698, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 6.49, |
|
"grad_norm": 0.348846435546875, |
|
"learning_rate": 0.002375, |
|
"loss": 2.3797, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 6.66, |
|
"grad_norm": 0.400886207818985, |
|
"learning_rate": 0.0024375, |
|
"loss": 2.3919, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 6.83, |
|
"grad_norm": 0.32355600595474243, |
|
"learning_rate": 0.0025, |
|
"loss": 2.3871, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.48550644596279174, |
|
"eval_loss": 2.569087505340576, |
|
"eval_runtime": 3.425, |
|
"eval_samples_per_second": 1311.234, |
|
"eval_steps_per_second": 10.511, |
|
"step": 20496 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.3506123423576355, |
|
"learning_rate": 0.0025625, |
|
"loss": 2.3935, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 7.17, |
|
"grad_norm": 0.3607357144355774, |
|
"learning_rate": 0.002625, |
|
"loss": 2.3145, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 7.34, |
|
"grad_norm": 0.35818299651145935, |
|
"learning_rate": 0.0026875000000000002, |
|
"loss": 2.3333, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 7.51, |
|
"grad_norm": 0.33337295055389404, |
|
"learning_rate": 0.00275, |
|
"loss": 2.3555, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 7.68, |
|
"grad_norm": 0.36606958508491516, |
|
"learning_rate": 0.0028125, |
|
"loss": 2.3567, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 7.86, |
|
"grad_norm": 0.3098103404045105, |
|
"learning_rate": 0.0028750000000000004, |
|
"loss": 2.367, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.4879943614262646, |
|
"eval_loss": 2.556701183319092, |
|
"eval_runtime": 3.419, |
|
"eval_samples_per_second": 1313.536, |
|
"eval_steps_per_second": 10.529, |
|
"step": 23424 |
|
}, |
|
{ |
|
"epoch": 8.03, |
|
"grad_norm": 0.36782288551330566, |
|
"learning_rate": 0.0029375, |
|
"loss": 2.3522, |
|
"step": 23500 |
|
}, |
|
{ |
|
"epoch": 8.2, |
|
"grad_norm": 0.36634373664855957, |
|
"learning_rate": 0.003, |
|
"loss": 2.3004, |
|
"step": 24000 |
|
}, |
|
{ |
|
"epoch": 8.37, |
|
"grad_norm": 0.32430076599121094, |
|
"learning_rate": 0.002715909090909091, |
|
"loss": 2.304, |
|
"step": 24500 |
|
}, |
|
{ |
|
"epoch": 8.54, |
|
"grad_norm": 0.31956982612609863, |
|
"learning_rate": 0.0024318181818181817, |
|
"loss": 2.2997, |
|
"step": 25000 |
|
}, |
|
{ |
|
"epoch": 8.71, |
|
"grad_norm": 0.3134121596813202, |
|
"learning_rate": 0.002147727272727273, |
|
"loss": 2.3008, |
|
"step": 25500 |
|
}, |
|
{ |
|
"epoch": 8.88, |
|
"grad_norm": 0.3530263900756836, |
|
"learning_rate": 0.0018636363636363638, |
|
"loss": 2.2871, |
|
"step": 26000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.49414840179045755, |
|
"eval_loss": 2.502568483352661, |
|
"eval_runtime": 3.3962, |
|
"eval_samples_per_second": 1322.366, |
|
"eval_steps_per_second": 10.6, |
|
"step": 26352 |
|
}, |
|
{ |
|
"epoch": 9.05, |
|
"grad_norm": 0.33767953515052795, |
|
"learning_rate": 0.0015795454545454546, |
|
"loss": 2.2403, |
|
"step": 26500 |
|
}, |
|
{ |
|
"epoch": 9.22, |
|
"grad_norm": 0.28383320569992065, |
|
"learning_rate": 0.0012954545454545456, |
|
"loss": 2.1669, |
|
"step": 27000 |
|
}, |
|
{ |
|
"epoch": 9.39, |
|
"grad_norm": 0.32172703742980957, |
|
"learning_rate": 0.0010113636363636364, |
|
"loss": 2.1702, |
|
"step": 27500 |
|
}, |
|
{ |
|
"epoch": 9.56, |
|
"grad_norm": 0.3210740387439728, |
|
"learning_rate": 0.0007272727272727273, |
|
"loss": 2.1621, |
|
"step": 28000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 29280, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 2000, |
|
"total_flos": 2173869015564288.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|