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	0.6044	{'accuracy': 0.871}
0.2641	2.0	500	0.6153	{'accuracy': 0.879}
0.2641	3.0	750	0.8316	{'accuracy': 0.874}
0.1269	4.0	1000	1.1511	{'accuracy': 0.874}
0.1269	5.0	1250	1.2437	{'accuracy': 0.878}
0.0488	6.0	1500	1.2851	{'accuracy': 0.88}
0.0488	7.0	1750	1.3325	{'accuracy': 0.884}
0.0156	8.0	2000	1.3525	{'accuracy': 0.889}
0.0156	9.0	2250	1.3337	{'accuracy': 0.889}
0.0055	10.0	2500	1.3527	{'accuracy': 0.89}

praveensunguluru03/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification