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	0.4078	{'accuracy': 0.87}
0.418	2.0	500	0.3741	{'accuracy': 0.883}
0.418	3.0	750	0.6762	{'accuracy': 0.875}
0.1992	4.0	1000	0.5752	{'accuracy': 0.904}
0.1992	5.0	1250	0.7332	{'accuracy': 0.898}
0.057	6.0	1500	0.8001	{'accuracy': 0.901}
0.057	7.0	1750	0.8734	{'accuracy': 0.905}
0.0275	8.0	2000	0.9458	{'accuracy': 0.896}
0.0275	9.0	2250	0.9224	{'accuracy': 0.905}
0.0117	10.0	2500	0.9069	{'accuracy': 0.909}

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

distilbert-base-uncased-lora-text-classification