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clip-wikiart-raw-v1-5ep
turing552/clip-wikiart-raw-v1-5ep
clip-wikiart-raw-v1-5ep is a zero-shot image classification model from turing552. Use it for the zero-shot image classification task on the model card, and read the license before you ship it in a product. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Model type
- clip
- Access
- Public
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025
- SHA
- 5bcea41c
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
clip-wikiart-raw-v1-5ep
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: 0.2771
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.4676 | 0.3262 | 500 | 0.4719 |
| 0.4312 | 0.6523 | 1000 | 0.4424 |
| 0.3781 | 0.9785 | 1500 | 0.3742 |
| 0.2111 | 1.3046 | 2000 | 0.3532 |
| 0.2031 | 1.6308 | 2500 | 0.3255 |
| 0.2096 | 1.9569 | 3000 | 0.3136 |
| 0.1125 | 2.2831 | 3500 | 0.3401 |
| 0.1125 | 2.6093 | 4000 | 0.3079 |
| 0.093 | 2.9354 | 4500 | 0.3090 |
| 0.0684 | 3.2616 | 5000 | 0.3050 |
| 0.067 | 3.5877 | 5500 | 0.3019 |
| 0.0615 | 3.9139 | 6000 | 0.2955 |
| 0.0478 | 4.2401 | 6500 | 0.2935 |
| 0.0423 | 4.5662 | 7000 | 0.2816 |
| 0.0425 | 4.8924 | 7500 | 0.2771 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.5.1+cu124
- Datasets 4.4.1
- Tokenizers 0.19.1
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- Created
- Nov 12, 2025
- Updated
- Nov 12, 2025