flax-community/clip-spanish
Automatic correction of README.md metadata. Contact website@huggingface.co for any question
Format with black and isort and lint with flake8
Update README to link to BERTIN
Switch to BERTIN model for training script and testing on image
Use BERTIN model
Keep only best performing model in main (all models still available in develop branch). Best performing model is clip_spanish_141230_samples with a loss of 2.231235980987549
Add model using BERTIN language encoder trained on 146364 examples and obtaining a loss of 2.231235980987549
Refactor test_on_image.py
Update README and add a training doc
Add actual files instead of symlinks
Copy latest model to repo root
Add model trained on 141230 samples, achieving a validation loss of 2.1384739875793457
Add all necessary files to replicate training run
Add model trained on 72972 samples
Add new model trained on the spanish subset of suitable images of the 20% of the WIT dataset, using a 998/1/1 train/valid/test split with a validation loss of 22.3439
Add new model trained on the spanish subset of suitable images of the 20% of the WIT dataset, with a validation loss of 2.4001
Use 1 caption per image
Add README
Update downloading and training scripts
Resolve merge conflict in .gitattributes
Add training scripts and initial model trained on 1% of the data.
Update .gitattributes
initial commit
