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	0.4174	{'accuracy': 0.873}
0.4215	2.0	500	0.5260	{'accuracy': 0.857}
0.4215	3.0	750	0.6035	{'accuracy': 0.888}
0.2111	4.0	1000	0.6529	{'accuracy': 0.884}
0.2111	5.0	1250	0.9778	{'accuracy': 0.873}
0.062	6.0	1500	0.8760	{'accuracy': 0.881}
0.062	7.0	1750	0.9807	{'accuracy': 0.886}
0.0228	8.0	2000	1.0271	{'accuracy': 0.884}
0.0228	9.0	2250	1.0868	{'accuracy': 0.882}
0.0085	10.0	2500	1.1076	{'accuracy': 0.879}

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

distilbert-base-uncased-lora-text-classification