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	0.5634	{'accuracy': 0.834}
0.4354	2.0	500	0.5962	{'accuracy': 0.847}
0.4354	3.0	750	0.6723	{'accuracy': 0.85}
0.2263	4.0	1000	0.5873	{'accuracy': 0.893}
0.2263	5.0	1250	0.8506	{'accuracy': 0.886}
0.083	6.0	1500	0.7863	{'accuracy': 0.899}
0.083	7.0	1750	0.9194	{'accuracy': 0.894}
0.0196	8.0	2000	0.8792	{'accuracy': 0.904}
0.0196	9.0	2250	0.8943	{'accuracy': 0.906}
0.0045	10.0	2500	0.9257	{'accuracy': 0.904}

Moiz2517/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification