learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
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: 10

Training Loss	Epoch	Step	Validation Loss	Accuracy
0.5753	1.0	10744	0.5390	{'accuracy': 0.7955801104972375}
0.5916	2.0	21488	0.4989	{'accuracy': 0.8158379373848987}
0.588	3.0	32232	0.4547	{'accuracy': 0.7937384898710865}
0.5735	4.0	42976	0.4249	{'accuracy': 0.8029465930018416}
0.5573	5.0	53720	0.4652	{'accuracy': 0.8066298342541437}
0.5945	6.0	64464	0.4789	{'accuracy': 0.8176795580110497}
0.5735	7.0	75208	0.4329	{'accuracy': 0.8416206261510129}
0.5498	8.0	85952	0.4656	{'accuracy': 0.8176795580110497}
0.5794	9.0	96696	0.4467	{'accuracy': 0.8176795580110497}
0.5251	10.0	107440	0.4369	{'accuracy': 0.8268876611418048}

tanjinadnanabir/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification