learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH 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
No log	1.0	250	0.3876	{'accuracy': 0.88}
0.452	2.0	500	0.4465	{'accuracy': 0.864}
0.452	3.0	750	0.4792	{'accuracy': 0.882}
0.2137	4.0	1000	0.7374	{'accuracy': 0.883}
0.2137	5.0	1250	0.8041	{'accuracy': 0.886}
0.0584	6.0	1500	0.8809	{'accuracy': 0.89}
0.0584	7.0	1750	0.8800	{'accuracy': 0.887}
0.0275	8.0	2000	0.9635	{'accuracy': 0.885}
0.0275	9.0	2250	1.0078	{'accuracy': 0.882}
0.0142	10.0	2500	0.9980	{'accuracy': 0.884}

a-yu7/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification