learning_rate: 0.001
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Use OptimizerNames.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	F1	Precision	Recall
No log	1.0	81	1.3621	0.8148	0.8137	0.8189	0.8148
No log	2.0	162	0.9435	0.8272	0.8272	0.8283	0.8272
No log	3.0	243	1.3333	0.7778	0.7778	0.7789	0.7778
No log	4.0	324	1.4928	0.8395	0.8388	0.8509	0.8395
No log	5.0	405	1.7831	0.8025	0.8022	0.8028	0.8025
No log	6.0	486	2.2104	0.8148	0.8137	0.8189	0.8148
0.1214	7.0	567	1.9896	0.8025	0.8022	0.8028	0.8025
0.1214	8.0	648	2.0504	0.8148	0.8147	0.8148	0.8148
0.1214	9.0	729	2.1091	0.8148	0.8147	0.8148	0.8148
0.1214	10.0	810	2.1159	0.8148	0.8147	0.8148	0.8148

paraskohli096/distilbert-base-uncased-lora-text-classification

distilbert-base-uncased-lora-text-classification