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
0.5327	1.0	525	0.5946	{'accuracy': 0.796440489432703}
0.4557	2.0	1050	0.6396	{'accuracy': 0.8020022246941045}
0.4072	3.0	1575	0.6353	{'accuracy': 0.7986651835372637}
0.37	4.0	2100	0.8301	{'accuracy': 0.7842046718576196}
0.3246	5.0	2625	1.0083	{'accuracy': 0.7986651835372637}
0.2574	6.0	3150	1.1111	{'accuracy': 0.8120133481646273}
0.1955	7.0	3675	1.1856	{'accuracy': 0.7997775305895439}
0.1479	8.0	4200	1.2189	{'accuracy': 0.8008898776418243}
0.1088	9.0	4725	1.3530	{'accuracy': 0.8042269187986651}
0.1091	10.0	5250	1.4335	{'accuracy': 0.8008898776418243}

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

distilbert-base-uncased-lora-text-classification