aesthetics_v2

This model is a fine-tuned version of facebook/dinov2-large on the imagefolder dataset. It achieves the following results on the evaluation set:

• Loss: 1.6501
• Accuracy: 0.5581

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

• learning_rate: 5e-05
• train_batch_size: 64
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 256
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 3

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
1.1465	0.17	20	1.6860	0.5313
1.2703	0.34	40	1.8412	0.5014
1.3152	0.52	60	1.8200	0.5042
1.2313	0.69	80	1.7971	0.5112
1.3476	0.86	100	1.7649	0.5100
1.2597	1.03	120	1.7454	0.5175
1.0094	1.2	140	1.7356	0.5257
0.9743	1.37	160	1.7074	0.5352
1.0209	1.55	180	1.7331	0.5322
1.0692	1.72	200	1.7370	0.5331
1.0556	1.89	220	1.6788	0.5487
0.8634	2.06	240	1.6644	0.5536
0.79	2.23	260	1.6848	0.5531
0.7916	2.4	280	1.6761	0.5528
0.7454	2.58	300	1.6520	0.5534
0.7497	2.75	320	1.6337	0.5554
0.7537	2.92	340	1.6501	0.5581

Framework versions

• Transformers 4.38.2
• Pytorch 2.2.0
• Datasets 2.17.1
• Tokenizers 0.15.2