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clip-zabir
zabir735/clip-zabir
clip-zabir is a zero-shot image classification model from zabir735. 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
- Feb 5, 2024
- Updated
- Feb 5, 2024
- SHA
- f398d69d
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-zabir
This model is a fine-tuned version of openai/clip-vit-base-patch16 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 2.3341
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.2.0+cpu
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- Created
- Feb 5, 2024
- Updated
- Feb 5, 2024