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	0.4480	{'accuracy': 0.863}
0.4694	2.0	500	0.3601	{'accuracy': 0.896}
0.4694	3.0	750	0.5534	{'accuracy': 0.884}
0.2308	4.0	1000	0.5800	{'accuracy': 0.891}
0.2308	5.0	1250	0.7042	{'accuracy': 0.873}
0.0767	6.0	1500	0.7120	{'accuracy': 0.897}
0.0767	7.0	1750	0.8353	{'accuracy': 0.889}
0.0124	8.0	2000	0.8839	{'accuracy': 0.884}
0.0124	9.0	2250	0.9220	{'accuracy': 0.888}
0.0059	10.0	2500	0.9216	{'accuracy': 0.887}

RAJESHCHAUHAN101/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification