layoutlmv3-finetuned-funsd / trainer_state.json
mp-02's picture
End of training
cd41993
raw
history blame
4.82 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"global_step": 300,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.67,
"eval_accuracy": 0.6553743683968765,
"eval_f1": 0.49752416882810657,
"eval_loss": 1.2105501890182495,
"eval_precision": 0.4707719767960732,
"eval_recall": 0.5275,
"eval_runtime": 3.73,
"eval_samples_per_second": 14.477,
"eval_steps_per_second": 1.609,
"step": 25
},
{
"epoch": 3.33,
"eval_accuracy": 0.7687184198438217,
"eval_f1": 0.777563793933558,
"eval_loss": 0.7854474186897278,
"eval_precision": 0.7497678737233054,
"eval_recall": 0.8075,
"eval_runtime": 3.7553,
"eval_samples_per_second": 14.38,
"eval_steps_per_second": 1.598,
"step": 50
},
{
"epoch": 5.0,
"eval_accuracy": 0.8141938447404685,
"eval_f1": 0.8184898354307841,
"eval_loss": 0.6001709699630737,
"eval_precision": 0.7931519699812383,
"eval_recall": 0.8455,
"eval_runtime": 3.7036,
"eval_samples_per_second": 14.58,
"eval_steps_per_second": 1.62,
"step": 75
},
{
"epoch": 6.67,
"eval_accuracy": 0.7781350482315113,
"eval_f1": 0.827977315689981,
"eval_loss": 0.6523196697235107,
"eval_precision": 0.7849462365591398,
"eval_recall": 0.876,
"eval_runtime": 3.7641,
"eval_samples_per_second": 14.346,
"eval_steps_per_second": 1.594,
"step": 100
},
{
"epoch": 8.33,
"eval_accuracy": 0.8354386770785485,
"eval_f1": 0.8442622950819673,
"eval_loss": 0.5189960598945618,
"eval_precision": 0.8151769087523277,
"eval_recall": 0.8755,
"eval_runtime": 3.8049,
"eval_samples_per_second": 14.192,
"eval_steps_per_second": 1.577,
"step": 125
},
{
"epoch": 10.0,
"eval_accuracy": 0.8338309600367478,
"eval_f1": 0.8588007736943907,
"eval_loss": 0.5064252018928528,
"eval_precision": 0.8314606741573034,
"eval_recall": 0.888,
"eval_runtime": 3.7776,
"eval_samples_per_second": 14.295,
"eval_steps_per_second": 1.588,
"step": 150
},
{
"epoch": 11.67,
"eval_accuracy": 0.8344051446945338,
"eval_f1": 0.8693320331545589,
"eval_loss": 0.5342020392417908,
"eval_precision": 0.8482397716460514,
"eval_recall": 0.8915,
"eval_runtime": 3.753,
"eval_samples_per_second": 14.388,
"eval_steps_per_second": 1.599,
"step": 175
},
{
"epoch": 13.33,
"eval_accuracy": 0.8200505282498851,
"eval_f1": 0.8703071672354948,
"eval_loss": 0.5538159012794495,
"eval_precision": 0.8491912464319695,
"eval_recall": 0.8925,
"eval_runtime": 3.8395,
"eval_samples_per_second": 14.064,
"eval_steps_per_second": 1.563,
"step": 200
},
{
"epoch": 15.0,
"eval_accuracy": 0.8348644924207625,
"eval_f1": 0.8777398928397467,
"eval_loss": 0.5335590243339539,
"eval_precision": 0.855650522317189,
"eval_recall": 0.901,
"eval_runtime": 3.7278,
"eval_samples_per_second": 14.486,
"eval_steps_per_second": 1.61,
"step": 225
},
{
"epoch": 16.67,
"eval_accuracy": 0.8385392742305926,
"eval_f1": 0.8764648437499999,
"eval_loss": 0.5464726686477661,
"eval_precision": 0.8563931297709924,
"eval_recall": 0.8975,
"eval_runtime": 3.7679,
"eval_samples_per_second": 14.331,
"eval_steps_per_second": 1.592,
"step": 250
},
{
"epoch": 18.33,
"eval_accuracy": 0.8439366100137804,
"eval_f1": 0.8787509148572822,
"eval_loss": 0.5402917265892029,
"eval_precision": 0.8580276322058122,
"eval_recall": 0.9005,
"eval_runtime": 3.7992,
"eval_samples_per_second": 14.214,
"eval_steps_per_second": 1.579,
"step": 275
},
{
"epoch": 20.0,
"eval_accuracy": 0.8434772622875517,
"eval_f1": 0.8826979472140762,
"eval_loss": 0.5468625426292419,
"eval_precision": 0.8632887189292543,
"eval_recall": 0.903,
"eval_runtime": 3.7775,
"eval_samples_per_second": 14.295,
"eval_steps_per_second": 1.588,
"step": 300
},
{
"epoch": 20.0,
"step": 300,
"total_flos": 790816029696000.0,
"train_loss": 0.4636675516764323,
"train_runtime": 318.7136,
"train_samples_per_second": 9.413,
"train_steps_per_second": 0.941
}
],
"max_steps": 300,
"num_train_epochs": 20,
"total_flos": 790816029696000.0,
"trial_name": null,
"trial_params": null
}