learning_rate: 0.0001
train_batch_size: 8
eval_batch_size: 8
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 32
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1

Training Loss	Epoch	Step	Validation Loss	Accuracy	Matthews Correlation	F1	Precision	Recall
1.1892	0.1977	1400	0.2318	0.9216	0.8977	0.8968	0.8726	0.9270
0.6786	0.3954	2800	0.1395	0.9621	0.9497	0.9438	0.9332	0.9567
0.6029	0.5931	4200	0.1098	0.9696	0.9597	0.9558	0.9491	0.9629
0.5632	0.7908	5600	0.0951	0.9742	0.9658	0.9602	0.9539	0.9672
0.5216	0.9885	7000	0.0933	0.9745	0.9662	0.9609	0.9550	0.9671

Wb-az/peft-roberta-base

peft-roberta-base