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	0.4203	{'accuracy': 0.881}
0.4274	2.0	500	0.5541	{'accuracy': 0.861}
0.4274	3.0	750	0.6025	{'accuracy': 0.88}
0.2265	4.0	1000	0.7136	{'accuracy': 0.872}
0.2265	5.0	1250	0.8605	{'accuracy': 0.87}
0.0822	6.0	1500	0.8567	{'accuracy': 0.885}
0.0822	7.0	1750	0.9664	{'accuracy': 0.878}
0.0222	8.0	2000	0.9615	{'accuracy': 0.88}
0.0222	9.0	2250	1.0087	{'accuracy': 0.886}
0.0096	10.0	2500	1.0085	{'accuracy': 0.884}

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

distilbert-base-uncased-lora-text-classification