Downloads · 30 days
62
4% of all-time downloads
clip-roberta-finetuned
superbigtree/clip-roberta-finetuned
clip-roberta-finetuned is a feature extraction model from superbigtree. Use it when you need embeddings to search or compare text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
All-time downloads
1.6K
Public
Parameters
213M
238 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.pt1.7 GB · 50%
At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- vision-text-dual-encoder
- Access
- Public
- Created
- Feb 5, 2024
- Updated
- Feb 20, 2024
- SHA
- 922eea07
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-roberta-finetuned
This model was trained from scratch on the coco_dataset_script dataset.
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
- distributed_type: multi-GPU
- num_devices: 8
- total_train_batch_size: 512
- total_eval_batch_size: 512
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 1
Training results
Framework versions
- Transformers 4.38.0.dev0
- Pytorch 2.0.1+gita61a294
- Datasets 2.17.1
- Tokenizers 0.15.2
- Task
- Feature Extraction
- Library
- transformers
- Type
- vision-text-dual-encoder
- Created
- Feb 5, 2024
- Updated
- Feb 20, 2024