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	0.3825	{'accuracy': 0.875}
0.4308	2.0	500	0.4900	{'accuracy': 0.873}
0.4308	3.0	750	0.5458	{'accuracy': 0.887}
0.1669	4.0	1000	0.6374	{'accuracy': 0.892}
0.1669	5.0	1250	0.7558	{'accuracy': 0.889}
0.0464	6.0	1500	0.8346	{'accuracy': 0.888}
0.0464	7.0	1750	0.8460	{'accuracy': 0.89}
0.014	8.0	2000	0.8518	{'accuracy': 0.898}
0.014	9.0	2250	0.8776	{'accuracy': 0.9}
0.0028	10.0	2500	0.8964	{'accuracy': 0.896}

Shashwat1233/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification