learning_rate: 1e-05
train_batch_size: 4
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 20

Training Loss	Epoch	Step	Validation Loss	Accuracy
2.3019	1.0	54	2.3080	0.0741
2.3011	2.0	108	2.3017	0.1852
2.2894	3.0	162	2.3069	0.0370
2.2761	4.0	216	2.3072	0.1481
2.2574	5.0	270	2.2921	0.1111
2.2345	6.0	324	2.2809	0.1481
2.2061	7.0	378	2.2674	0.2593
2.1754	8.0	432	2.2683	0.2593
2.1463	9.0	486	2.2374	0.1852
2.1	10.0	540	2.2400	0.2593
2.0551	11.0	594	2.2009	0.2963
2.0238	12.0	648	2.1784	0.2593
1.9852	13.0	702	2.1676	0.2963
1.9571	14.0	756	2.1834	0.2593
1.9168	15.0	810	2.1502	0.3333
1.8981	16.0	864	2.1212	0.3704
1.8546	17.0	918	2.1315	0.4074
1.8475	18.0	972	2.1182	0.4074
1.8346	19.0	1026	2.1224	0.4074
1.8144	20.0	1080	2.1182	0.4074

dmusingu/muk-luganda-digits-classification-clean

muk-luganda-digits-classification-clean