learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	0.5985	{'accuracy': 0.897}
0.2977	2.0	500	0.7703	{'accuracy': 0.873}
0.2977	3.0	750	0.8496	{'accuracy': 0.877}
0.2002	4.0	1000	0.8023	{'accuracy': 0.884}
0.2002	5.0	1250	1.0785	{'accuracy': 0.888}
0.0307	6.0	1500	1.1893	{'accuracy': 0.881}
0.0307	7.0	1750	1.2543	{'accuracy': 0.882}
0.0244	8.0	2000	1.3205	{'accuracy': 0.876}
0.0244	9.0	2250	1.2482	{'accuracy': 0.882}
0.0121	10.0	2500	1.2665	{'accuracy': 0.886}

Sahrul11/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification