|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 4.0, |
|
"global_step": 23468, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.09, |
|
"learning_rate": 4.893471961820351e-05, |
|
"loss": 2.3053, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.17, |
|
"learning_rate": 4.7869439236407024e-05, |
|
"loss": 1.9792, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 4.680415885461054e-05, |
|
"loss": 1.9158, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.34, |
|
"learning_rate": 4.5738878472814045e-05, |
|
"loss": 1.8901, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.43, |
|
"learning_rate": 4.467359809101756e-05, |
|
"loss": 1.8747, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 0.51, |
|
"learning_rate": 4.3608317709221067e-05, |
|
"loss": 1.8479, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 4.254303732742458e-05, |
|
"loss": 1.8417, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 0.68, |
|
"learning_rate": 4.1477756945628095e-05, |
|
"loss": 1.8416, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 4.04124765638316e-05, |
|
"loss": 1.8413, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 0.85, |
|
"learning_rate": 3.934719618203511e-05, |
|
"loss": 1.8118, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 3.828191580023863e-05, |
|
"loss": 1.789, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 1.02, |
|
"learning_rate": 3.721663541844214e-05, |
|
"loss": 1.7796, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 1.11, |
|
"learning_rate": 3.6151355036645645e-05, |
|
"loss": 1.7649, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 1.19, |
|
"learning_rate": 3.508607465484916e-05, |
|
"loss": 1.7664, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 3.4020794273052666e-05, |
|
"loss": 1.7606, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 1.36, |
|
"learning_rate": 3.295551389125618e-05, |
|
"loss": 1.7345, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 1.45, |
|
"learning_rate": 3.1890233509459694e-05, |
|
"loss": 1.713, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 1.53, |
|
"learning_rate": 3.08249531276632e-05, |
|
"loss": 1.7604, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 1.62, |
|
"learning_rate": 2.9759672745866712e-05, |
|
"loss": 1.7539, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 1.7, |
|
"learning_rate": 2.8694392364070227e-05, |
|
"loss": 1.744, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 1.79, |
|
"learning_rate": 2.7629111982273737e-05, |
|
"loss": 1.7442, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 2.6563831600477245e-05, |
|
"loss": 1.7275, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 2.5498551218680762e-05, |
|
"loss": 1.702, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 2.05, |
|
"learning_rate": 2.443327083688427e-05, |
|
"loss": 1.714, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 2.13, |
|
"learning_rate": 2.336799045508778e-05, |
|
"loss": 1.6891, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 2.22, |
|
"learning_rate": 2.230271007329129e-05, |
|
"loss": 1.7327, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 2.3, |
|
"learning_rate": 2.1237429691494805e-05, |
|
"loss": 1.7197, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 2.39, |
|
"learning_rate": 2.0172149309698312e-05, |
|
"loss": 1.6997, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"learning_rate": 1.9106868927901826e-05, |
|
"loss": 1.6961, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"learning_rate": 1.8041588546105337e-05, |
|
"loss": 1.6966, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 2.64, |
|
"learning_rate": 1.6976308164308848e-05, |
|
"loss": 1.6905, |
|
"step": 15500 |
|
}, |
|
{ |
|
"epoch": 2.73, |
|
"learning_rate": 1.591102778251236e-05, |
|
"loss": 1.6984, |
|
"step": 16000 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 1.484574740071587e-05, |
|
"loss": 1.673, |
|
"step": 16500 |
|
}, |
|
{ |
|
"epoch": 2.9, |
|
"learning_rate": 1.378046701891938e-05, |
|
"loss": 1.6719, |
|
"step": 17000 |
|
}, |
|
{ |
|
"epoch": 2.98, |
|
"learning_rate": 1.2715186637122892e-05, |
|
"loss": 1.6932, |
|
"step": 17500 |
|
}, |
|
{ |
|
"epoch": 3.07, |
|
"learning_rate": 1.1649906255326403e-05, |
|
"loss": 1.679, |
|
"step": 18000 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 1.0584625873529914e-05, |
|
"loss": 1.6691, |
|
"step": 18500 |
|
}, |
|
{ |
|
"epoch": 3.24, |
|
"learning_rate": 9.519345491733426e-06, |
|
"loss": 1.6633, |
|
"step": 19000 |
|
}, |
|
{ |
|
"epoch": 3.32, |
|
"learning_rate": 8.454065109936937e-06, |
|
"loss": 1.6607, |
|
"step": 19500 |
|
}, |
|
{ |
|
"epoch": 3.41, |
|
"learning_rate": 7.3887847281404465e-06, |
|
"loss": 1.6757, |
|
"step": 20000 |
|
}, |
|
{ |
|
"epoch": 3.49, |
|
"learning_rate": 6.323504346343959e-06, |
|
"loss": 1.6765, |
|
"step": 20500 |
|
}, |
|
{ |
|
"epoch": 3.58, |
|
"learning_rate": 5.25822396454747e-06, |
|
"loss": 1.6758, |
|
"step": 21000 |
|
}, |
|
{ |
|
"epoch": 3.66, |
|
"learning_rate": 4.19294358275098e-06, |
|
"loss": 1.6745, |
|
"step": 21500 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"learning_rate": 3.1276632009544914e-06, |
|
"loss": 1.665, |
|
"step": 22000 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 2.0623828191580025e-06, |
|
"loss": 1.6721, |
|
"step": 22500 |
|
}, |
|
{ |
|
"epoch": 3.92, |
|
"learning_rate": 9.971024373615137e-07, |
|
"loss": 1.6684, |
|
"step": 23000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 23468, |
|
"total_flos": 9.246597801402931e+16, |
|
"train_loss": 1.7515089764228484, |
|
"train_runtime": 22215.4472, |
|
"train_samples_per_second": 6.338, |
|
"train_steps_per_second": 1.056 |
|
} |
|
], |
|
"max_steps": 23468, |
|
"num_train_epochs": 4, |
|
"total_flos": 9.246597801402931e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|