Downloads · 30 days
8
15% of all-time downloads
clip-clip-finetuned-v2
kpalczewski-displate/clip-clip-finetuned-v2
clip-clip-finetuned-v2 is a zero-shot image classification model from kpalczewski-displate. 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. --
All-time downloads
54
Public
Parameters
151M
605 MB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors605 MB · 99%
At a glance
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Model type
- clip
- Access
- Public
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024
- SHA
- 01fa03c3
Datasets
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-clip-finetuned-v2
This model was trained from scratch on the ydshieh/coco_dataset_script 2017 dataset. It achieves the following results on the evaluation set:
- Loss: 0.4798
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: 64
- eval_batch_size: 64
- 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 4.39.0.dev0
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Zero-Shot Image Classification
- Library
- transformers
- Type
- clip
- Created
- Mar 1, 2024
- Updated
- Mar 1, 2024