|
{ |
|
"best_metric": 0.7070142891290766, |
|
"best_model_checkpoint": "/home/felix/kubhist2-testing/SuperLim-2-Testing/results/trainer_output/run-5d9be_00002/checkpoint-8896", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 8896, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.22, |
|
"learning_rate": 1.1146067415730336e-05, |
|
"loss": 0.5378, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.45, |
|
"learning_rate": 2.2382022471910112e-05, |
|
"loss": 0.3896, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.67, |
|
"learning_rate": 2.976895479550347e-05, |
|
"loss": 0.3679, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.9, |
|
"learning_rate": 2.905142310452045e-05, |
|
"loss": 0.3735, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8432581880051042, |
|
"eval_krippendorff_nominal": 0.6854738483266531, |
|
"eval_loss": 0.3858277499675751, |
|
"eval_runtime": 3.9653, |
|
"eval_samples_per_second": 1185.781, |
|
"eval_steps_per_second": 18.662, |
|
"learning_rate": 2.8729968906960057e-05, |
|
"step": 2224 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 2.833389141353743e-05, |
|
"loss": 0.3276, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.35, |
|
"learning_rate": 2.7616359722554415e-05, |
|
"loss": 0.3014, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.57, |
|
"learning_rate": 2.6898828031571395e-05, |
|
"loss": 0.3091, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.8, |
|
"learning_rate": 2.6181296340588376e-05, |
|
"loss": 0.3179, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8441088898341131, |
|
"eval_krippendorff_nominal": 0.6860352395475762, |
|
"eval_loss": 0.3822194039821625, |
|
"eval_runtime": 3.9064, |
|
"eval_samples_per_second": 1203.675, |
|
"eval_steps_per_second": 18.943, |
|
"learning_rate": 2.5539823008849558e-05, |
|
"step": 4448 |
|
}, |
|
{ |
|
"epoch": 2.02, |
|
"learning_rate": 2.5465199712987326e-05, |
|
"loss": 0.3132, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.25, |
|
"learning_rate": 2.4749103085386272e-05, |
|
"loss": 0.2406, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.47, |
|
"learning_rate": 2.4031571394403256e-05, |
|
"loss": 0.2518, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.7, |
|
"learning_rate": 2.3314039703420236e-05, |
|
"loss": 0.2558, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.92, |
|
"learning_rate": 2.2596508012437217e-05, |
|
"loss": 0.2739, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.839430029774564, |
|
"eval_krippendorff_nominal": 0.6751470306348389, |
|
"eval_loss": 0.5222128629684448, |
|
"eval_runtime": 3.8961, |
|
"eval_samples_per_second": 1206.858, |
|
"eval_steps_per_second": 18.994, |
|
"learning_rate": 2.234967711073906e-05, |
|
"step": 6672 |
|
}, |
|
{ |
|
"epoch": 3.15, |
|
"learning_rate": 2.1878976321454197e-05, |
|
"loss": 0.2358, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 3.37, |
|
"learning_rate": 2.116144463047118e-05, |
|
"loss": 0.2057, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 3.6, |
|
"learning_rate": 2.044391293948816e-05, |
|
"loss": 0.2157, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 3.82, |
|
"learning_rate": 1.972638124850514e-05, |
|
"loss": 0.2295, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8543173117822204, |
|
"eval_krippendorff_nominal": 0.7070142891290766, |
|
"eval_loss": 0.44575992226600647, |
|
"eval_runtime": 3.9739, |
|
"eval_samples_per_second": 1183.225, |
|
"eval_steps_per_second": 18.622, |
|
"learning_rate": 1.9158096149246593e-05, |
|
"step": 8896 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 22240, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 5898489416824320.0, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 3e-05, |
|
"per_device_train_batch_size": 16 |
|
} |
|
} |
|
|