learning_rate: 1e-05
train_batch_size: 8
eval_batch_size: 8
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: 20

Training Loss	Epoch	Step	Validation Loss	Balanced Accuracy	Accuracy
No log	1.0	96	0.6857	0.5462	0.5625
No log	2.0	192	0.6684	0.5758	0.5833
No log	3.0	288	0.7167	0.6384	0.6198
No log	4.0	384	0.6335	0.6179	0.625
No log	5.0	480	0.6574	0.6297	0.5990
0.6776	6.0	576	0.6322	0.6168	0.625
0.6776	7.0	672	0.6374	0.6114	0.6094
0.6776	8.0	768	0.6261	0.6278	0.6354
0.6776	9.0	864	0.6289	0.6651	0.6406
0.6776	10.0	960	0.6082	0.6368	0.6406
0.5732	11.0	1056	0.6036	0.6553	0.6615
0.5732	12.0	1152	0.6445	0.6870	0.6510
0.5732	13.0	1248	0.6094	0.6833	0.6875
0.5732	14.0	1344	0.6104	0.6607	0.6667
0.5732	15.0	1440	0.6553	0.6960	0.6927
0.5144	16.0	1536	0.6262	0.6603	0.6510
0.5144	17.0	1632	0.6154	0.6619	0.6667
0.5144	18.0	1728	0.6210	0.6619	0.6667
0.5144	19.0	1824	0.6293	0.6716	0.6771
0.5144	20.0	1920	0.6274	0.6563	0.6615

Ahatsham/Output_llama3_80-20

Output_llama3_80-20