learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use 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	0.7051	{'accuracy': 0.761}
0.4561	2.0	500	0.9751	{'accuracy': 0.793}
0.4561	3.0	750	0.4668	{'accuracy': 0.882}
0.2196	4.0	1000	0.5190	{'accuracy': 0.895}
0.2196	5.0	1250	0.6079	{'accuracy': 0.905}
0.0804	6.0	1500	0.7639	{'accuracy': 0.895}
0.0804	7.0	1750	0.8768	{'accuracy': 0.892}
0.0119	8.0	2000	0.8436	{'accuracy': 0.893}
0.0119	9.0	2250	0.8417	{'accuracy': 0.897}
0.001	10.0	2500	0.8405	{'accuracy': 0.898}

bhargavi143/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification