_target_: src.solutions.bert_finetune_solution.BertFinetuningPredictor
model_name: microsoft/deberta-v3-large
num_classes: 6
lr: 2e-5
batch_size: 8
num_workers: 8
max_length: 512
weight_decay: 0.01
accelerator: gpu
max_epochs: 5
accumulate_grad_batches: 4
precision: 16
gradient_clip_val: 1000
train_size: 0.8
num_cross_val_splits: 5
num_frozen_layers: 20