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	0.3695	{'accuracy': 0.885}
0.4384	2.0	500	0.4139	{'accuracy': 0.873}
0.4384	3.0	750	0.5319	{'accuracy': 0.894}
0.1996	4.0	1000	0.6325	{'accuracy': 0.891}
0.1996	5.0	1250	0.7468	{'accuracy': 0.89}
0.0559	6.0	1500	0.8431	{'accuracy': 0.893}
0.0559	7.0	1750	0.8182	{'accuracy': 0.895}
0.0256	8.0	2000	0.8403	{'accuracy': 0.893}
0.0256	9.0	2250	0.8637	{'accuracy': 0.896}
0.0126	10.0	2500	0.8517	{'accuracy': 0.894}

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

distilbert-base-uncased-lora-text-classification