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clip-roberta-finetuned
fangxiaoloong/clip-roberta-finetuned
clip-roberta-finetuned is a feature extraction model from fangxiaoloong. 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. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- Model type
- vision-text-dual-encoder
- Access
- Public
- Created
- Dec 8, 2022
- Updated
- Dec 8, 2022
- SHA
- 75a9a0e2
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 is a fine-tuned version of transformers/clip-roberta on the ydshieh/coco_dataset_script 2017 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: 3.0
- mixed_precision_training: Apex, opt level O2
Training results
Framework versions
- Transformers 4.18.0.dev0
- Pytorch 1.8.1+ascend.rc2
- Datasets 2.7.1
- Tokenizers 0.13.2
- Task
- Feature Extraction
- Library
- transformers
- Type
- vision-text-dual-encoder
- Created
- Dec 8, 2022
- Updated
- Dec 8, 2022