license: apache-2.0
tags:
- pytorch
- blip
- retrieval
Blip for Retrieval
Overview
Working implementation of Blip for Retrieval using a giant configuration. The repository focuses on transparent code and repeatable smoke tests; benchmark claims are deliberately omitted.
Repository status
- The Python file contains the model and runnable example or training entry point.
config.jsonrecords the generated architecture settings.training_args.jsonrecords the default experiment recipe.model.safetensorsis a valid initialization checkpoint for smoke tests; it is not presented as a trained benchmark checkpoint.- No benchmark score is claimed in this repository.
Architecture
| Item | Value |
|---|---|
| Architecture | Blip |
| Scale | giant |
| Attention | multi query |
| Fusion | gated fusion |
| Activation | swish |
| Normalization | batchnorm |
Default experiment recipe
The included configuration uses lion with a linear warmup schedule. These are starting values in the script, not evidence of a completed run. For a meaningful evaluation, train all baselines with the same data exposure, tuning budget, and random seeds.
Quick check
python train.py --help
Inspect the script's __main__ block for its generated smoke-test example. Because this is a custom implementation, generic automatic loading APIs require an explicit adapter before use.
Evaluation guidance
A useful first evaluation would use Flickr30k, report the task metric across at least three seeds, and include a matched-capacity baseline. Keep training logs and environment versions with any published result.
Limitations
The initialization checkpoint has not been trained or audited for robustness, fairness, or domain transfer. The implementation should be treated as an experimental starting point. Results from a future trained checkpoint must be documented separately from the defaults shipped here.
Files
train.py— primary artifactREADME.md— this documentationconfig.json— architecture configurationtraining_args.json— default experiment settingsmodel.safetensors— initialization checkpoint
License
Released under apache-2.0. Review the source-data terms separately when this repository is used with external datasets.