learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 1337
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: 20.0

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.07	1.0	130	1.0683	0.4135
1.0523	2.0	260	1.0356	0.6241
1.0439	3.0	390	1.0045	0.6617
1.0056	4.0	520	0.9671	0.7293
0.9853	5.0	650	0.9245	0.7895
0.9581	6.0	780	0.8744	0.7820
0.9044	7.0	910	0.8172	0.7820
0.869	8.0	1040	0.7737	0.8271
0.8804	9.0	1170	0.7098	0.8271
0.7757	10.0	1300	0.6705	0.8120
0.7694	11.0	1430	0.6382	0.8571
0.7966	12.0	1560	0.6088	0.7895
0.7425	13.0	1690	0.5724	0.8496
0.7698	14.0	1820	0.5665	0.8195
0.6632	15.0	1950	0.5308	0.8571
0.6162	16.0	2080	0.5262	0.8346
0.6128	17.0	2210	0.5081	0.8421
0.685	18.0	2340	0.4913	0.8571
0.6614	19.0	2470	0.4937	0.8496
0.6934	20.0	2600	0.5027	0.8571

qubvel-hf/vit-base-beans

vit-base-beans