sample_foot

This model is a fine-tuned version of facebook/dinov2-small-imagenet1k-1-layer on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 3.0754
• Accuracy: 0.4545

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: 1
• eval_batch_size: 1
• seed: 42
• optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• lr_scheduler_type: linear
• lr_scheduler_warmup_ratio: 0.1
• num_epochs: 10

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy
5.6026	1.0	21	4.9823	0.4545
3.7497	2.0	42	3.6049	0.4545
3.1278	3.0	63	3.7326	0.4545
2.4551	4.0	84	2.0051	0.4545
2.3722	5.0	105	3.1027	0.4545
2.3023	6.0	126	2.6815	0.4545
2.8063	7.0	147	2.9446	0.4545
2.2692	8.0	168	3.1585	0.4545
2.545	9.0	189	2.8486	0.4545
2.2706	10.0	210	3.0754	0.4545

Framework versions

• Transformers 4.35.2
• Pytorch 2.1.0+cu118
• Datasets 2.15.0
• Tokenizers 0.15.0