learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use 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	0.3596	{'accuracy': 0.88}
0.4442	2.0	500	0.4824	{'accuracy': 0.867}
0.4442	3.0	750	0.5480	{'accuracy': 0.895}
0.2096	4.0	1000	0.6805	{'accuracy': 0.887}
0.2096	5.0	1250	0.9621	{'accuracy': 0.887}
0.0618	6.0	1500	0.9738	{'accuracy': 0.885}
0.0618	7.0	1750	1.0855	{'accuracy': 0.897}
0.0377	8.0	2000	1.0957	{'accuracy': 0.899}
0.0377	9.0	2250	1.1224	{'accuracy': 0.897}
0.0059	10.0	2500	1.1443	{'accuracy': 0.898}

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

distilbert-base-uncased-lora-text-classification