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	0.4170	{'accuracy': 0.863}
0.4398	2.0	500	0.4620	{'accuracy': 0.874}
0.4398	3.0	750	0.5895	{'accuracy': 0.888}
0.1779	4.0	1000	0.6279	{'accuracy': 0.893}
0.1779	5.0	1250	0.8134	{'accuracy': 0.895}
0.0456	6.0	1500	0.8367	{'accuracy': 0.897}
0.0456	7.0	1750	0.8926	{'accuracy': 0.887}
0.0234	8.0	2000	0.9301	{'accuracy': 0.888}
0.0234	9.0	2250	0.9804	{'accuracy': 0.884}
0.0063	10.0	2500	0.9858	{'accuracy': 0.887}

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

distilbert-base-uncased-lora-text-classification