learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 32
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: 30

Training Loss	Epoch	Step	Validation Loss	Accuracy
No log	1.0	1	0.0007	1.0
No log	2.0	2	0.0004	1.0
No log	3.0	3	0.0006	1.0
No log	4.0	4	0.0008	1.0
No log	5.0	5	0.0010	1.0
No log	6.0	6	0.0012	1.0
No log	7.0	7	0.0013	1.0
No log	8.0	8	0.0014	1.0
No log	9.0	9	0.0014	1.0
No log	10.0	10	0.0012	1.0
No log	11.0	11	0.0011	1.0
No log	12.0	12	0.0010	1.0
No log	13.0	13	0.0012	1.0
No log	14.0	14	0.0016	1.0
No log	15.0	15	0.0019	1.0
No log	16.0	16	0.0016	1.0
No log	17.0	17	0.0015	1.0
No log	18.0	18	0.0016	1.0
No log	19.0	19	0.0021	1.0
No log	20.0	20	0.0025	1.0
No log	21.0	21	0.0025	1.0
No log	22.0	22	0.0023	1.0
No log	23.0	23	0.0021	1.0
No log	24.0	24	0.0021	1.0
No log	25.0	25	0.0020	1.0
No log	26.0	26	0.0017	1.0
No log	27.0	27	0.0015	1.0
No log	28.0	28	0.0014	1.0
No log	29.0	29	0.0013	1.0
No log	30.0	30	0.0014	1.0

nothing95/resnet50-finetuned-coco

resnet50-finetuned-coco