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	0.5546	{'accuracy': 0.843}
0.431	2.0	500	0.5321	{'accuracy': 0.843}
0.431	3.0	750	0.6471	{'accuracy': 0.871}
0.2156	4.0	1000	0.6370	{'accuracy': 0.894}
0.2156	5.0	1250	0.7770	{'accuracy': 0.879}
0.0585	6.0	1500	0.8067	{'accuracy': 0.887}
0.0585	7.0	1750	0.9062	{'accuracy': 0.892}
0.0296	8.0	2000	0.8693	{'accuracy': 0.895}
0.0296	9.0	2250	0.8794	{'accuracy': 0.893}
0.0129	10.0	2500	0.9161	{'accuracy': 0.891}

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

distilbert-base-uncased-lora-text-classification