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	0.4627	{'accuracy': 0.866}
0.3796	2.0	500	0.5169	{'accuracy': 0.87}
0.3796	3.0	750	0.6853	{'accuracy': 0.871}
0.1693	4.0	1000	0.8606	{'accuracy': 0.869}
0.1693	5.0	1250	0.9956	{'accuracy': 0.868}
0.0357	6.0	1500	1.0542	{'accuracy': 0.868}
0.0357	7.0	1750	1.0670	{'accuracy': 0.868}
0.0202	8.0	2000	1.1235	{'accuracy': 0.87}
0.0202	9.0	2250	1.1426	{'accuracy': 0.871}
0.0022	10.0	2500	1.1492	{'accuracy': 0.872}

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

distilbert-base-uncased-lora-text-classification