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clip_finetune_0208_rewrite
lukahh/clip_finetune_0208_rewrite
clip_finetune_0208_rewrite is a zero-shot image classification model from lukahh. 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 7, 2025
- Updated
- Feb 9, 2025
- SHA
- f8126876
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_finetune_0208_rewrite
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: 0.2794
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: 3e-05
- train_batch_size: 512
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 1000
- num_epochs: 10.0
Training results
Framework versions
- Transformers 4.48.2
- Pytorch 2.1.2
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- Created
- Feb 7, 2025
- Updated
- Feb 9, 2025