|
{ |
|
"best_metric": 2.5737111568450928, |
|
"best_model_checkpoint": "output/aaron-watson/checkpoint-100", |
|
"epoch": 4.0, |
|
"global_step": 100, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.2, |
|
"learning_rate": 0.0001240985658141214, |
|
"loss": 3.6755, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.4, |
|
"learning_rate": 8.97985658141214e-05, |
|
"loss": 3.521, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.6, |
|
"learning_rate": 4.740143418587861e-05, |
|
"loss": 3.4758, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.8, |
|
"learning_rate": 1.3101434185878613e-05, |
|
"loss": 3.2857, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"learning_rate": 0.0, |
|
"loss": 3.2955, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 3.0358455181121826, |
|
"eval_runtime": 1.5968, |
|
"eval_samples_per_second": 21.293, |
|
"eval_steps_per_second": 3.131, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.2, |
|
"learning_rate": 1.3101434185878598e-05, |
|
"loss": 3.1772, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"learning_rate": 4.74014341858786e-05, |
|
"loss": 3.1081, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 1.6, |
|
"learning_rate": 8.979856581412138e-05, |
|
"loss": 3.3239, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 0.0001240985658141214, |
|
"loss": 3.0381, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"learning_rate": 0.0001372, |
|
"loss": 3.0911, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 2.996838331222534, |
|
"eval_runtime": 1.5805, |
|
"eval_samples_per_second": 21.512, |
|
"eval_steps_per_second": 3.163, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.2, |
|
"learning_rate": 0.00012409856581412136, |
|
"loss": 3.0342, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 2.4, |
|
"learning_rate": 8.979856581412141e-05, |
|
"loss": 2.8495, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 2.6, |
|
"learning_rate": 4.7401434185878625e-05, |
|
"loss": 2.895, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"learning_rate": 1.310143418587862e-05, |
|
"loss": 2.8209, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"learning_rate": 0.0, |
|
"loss": 2.7285, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 2.9697048664093018, |
|
"eval_runtime": 1.7446, |
|
"eval_samples_per_second": 21.208, |
|
"eval_steps_per_second": 2.866, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 3.2, |
|
"learning_rate": 1.310143418587859e-05, |
|
"loss": 2.8552, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 3.4, |
|
"learning_rate": 4.740143418587858e-05, |
|
"loss": 2.8477, |
|
"step": 85 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 8.979856581412137e-05, |
|
"loss": 2.825, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 3.8, |
|
"learning_rate": 0.00012409856581412136, |
|
"loss": 2.7383, |
|
"step": 95 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"learning_rate": 0.0001372, |
|
"loss": 2.839, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 2.5737111568450928, |
|
"eval_runtime": 1.5782, |
|
"eval_samples_per_second": 20.911, |
|
"eval_steps_per_second": 3.168, |
|
"step": 100 |
|
} |
|
], |
|
"max_steps": 325, |
|
"num_train_epochs": 13, |
|
"total_flos": 102557122560000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|