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	0.5703	{'accuracy': 0.841}
0.416	2.0	500	0.3604	{'accuracy': 0.889}
0.416	3.0	750	0.6394	{'accuracy': 0.884}
0.1901	4.0	1000	0.7093	{'accuracy': 0.885}
0.1901	5.0	1250	0.7750	{'accuracy': 0.885}
0.044	6.0	1500	0.9100	{'accuracy': 0.888}
0.044	7.0	1750	1.0710	{'accuracy': 0.887}
0.0151	8.0	2000	1.0063	{'accuracy': 0.888}
0.0151	9.0	2250	1.0483	{'accuracy': 0.892}
0.0107	10.0	2500	1.0503	{'accuracy': 0.888}

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

distilbert-base-uncased-lora-text-classification