learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED 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	0.3059	{'accuracy': 0.873}
0.4329	2.0	500	0.4790	{'accuracy': 0.887}
0.4329	3.0	750	0.5350	{'accuracy': 0.876}
0.2328	4.0	1000	0.5796	{'accuracy': 0.878}
0.2328	5.0	1250	0.8671	{'accuracy': 0.861}
0.056	6.0	1500	0.8909	{'accuracy': 0.878}
0.056	7.0	1750	0.9056	{'accuracy': 0.876}
0.0296	8.0	2000	0.9462	{'accuracy': 0.878}
0.0296	9.0	2250	0.9914	{'accuracy': 0.881}
0.0142	10.0	2500	1.0024	{'accuracy': 0.884}

AmberJin4526/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification