learning_rate: 0.001
train_batch_size: 8
eval_batch_size: 8
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: 15

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	125	0.3399	{'accuracy': 0.871}
No log	2.0	250	0.4717	{'accuracy': 0.853}
No log	3.0	375	0.3759	{'accuracy': 0.893}
0.2676	4.0	500	0.3800	{'accuracy': 0.897}
0.2676	5.0	625	0.6089	{'accuracy': 0.892}
0.2676	6.0	750	0.6365	{'accuracy': 0.893}
0.2676	7.0	875	0.7513	{'accuracy': 0.884}
0.0476	8.0	1000	0.7167	{'accuracy': 0.893}
0.0476	9.0	1125	0.7829	{'accuracy': 0.895}
0.0476	10.0	1250	0.8211	{'accuracy': 0.895}
0.0476	11.0	1375	0.8894	{'accuracy': 0.89}
0.0059	12.0	1500	0.9043	{'accuracy': 0.89}
0.0059	13.0	1625	0.9287	{'accuracy': 0.894}
0.0059	14.0	1750	0.9314	{'accuracy': 0.892}
0.0059	15.0	1875	0.9300	{'accuracy': 0.892}

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

distilbert-base-uncased-lora-text-classification