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jina-clip-v1-fi-flickr
mrbesher/jina-clip-v1-fi-flickr
jina-clip-v1-fi-flickr is a feature extraction model from mrbesher. Use it when you need embeddings to search or compare text. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Feature Extraction
- Library
- transformers
- License
- apache-2.0
- Model type
- jina_clip
- Access
- Public
- Created
- May 6, 2025
- Updated
- May 8, 2025
- SHA
- 8152c26c
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. -->
jina-clip-v1-fi-flickr
This model is a fine-tuned version of jinaai/jina-clip-v1 on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.4154
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: 0.0001
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 16
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.6299 | 1.0 | 157 | 1.8064 |
| 1.0653 | 2.0 | 314 | 1.3239 |
| 0.1751 | 3.0 | 471 | 1.4214 |
| 0.1582 | 3.9776 | 624 | 1.4154 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu124
- Datasets 3.5.1
- Tokenizers 0.21.1
- Task
- Feature Extraction
- Library
- transformers
- Type
- jina_clip
- License
- apache-2.0
- Created
- May 6, 2025
- Updated
- May 8, 2025