clip-wikiart-raw-v1

This model is a fine-tuned version of openai/clip-vit-base-patch32 on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 0.3105

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-06
• train_batch_size: 64
• eval_batch_size: 64
• 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: 1

Training results

Training Loss	Epoch	Step	Validation Loss
0.4556	0.3262	500	0.4350
0.3565	0.6523	1000	0.3536
0.3112	0.9785	1500	0.3105

Framework versions

• Transformers 4.44.2
• Pytorch 2.5.1+cu124
• Datasets 4.4.1
• Tokenizers 0.19.1