mna-acquisition-binary / experiment_config.json
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v7 candidate: L-2_H-256_A-4, maxlen=256, F1=0.9374, F2=0.9449
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{
"model": "google/bert_uncased_L-2_H-256_A-4",
"best_optuna_trial": 39,
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"hyperparams": {
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"lr": 4.7785196153634585e-05,
"batch_size": 8,
"scheduler": "cosine",
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"num_epochs": 15,
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"label_smoothing": 0.008655451448503527,
"use_fgm": true,
"fgm_epsilon": 0.9684709844447323
},
"candidates": [
{
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{
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},
{
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}
],
"final_test_f1_macro": 0.9374,
"cpu_inference_ms": 17.28,
"threshold": {
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"f2_score": 0.9449,
"precision": 0.8276,
"recall": 0.9796
},
"training_tricks": {
"loss_type": "ce_weighted",
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"fgm": true,
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"classifier_dropout": 0.1704209352408175,
"stratified_batch_sampling": true,
"token_masking": 0.2,
"token_swapping": 0.15
}
}