v0.2.0
Pre-release
Pre-release
New release of Chess Transformers – v0.2.0
- New model: CT-EFT-20, which predicts the source (From) and destination (To) squares for the best half-move. Significantly outperforms earlier models, while also being the smallest.
- Standardized vocabulary: All models and datasets will hereon use a standard in-built vocabulary, eliminating the need for keeping track of separate vocabulary files, and allowing models to be used across datasets, and datasets across models, with ease.
- More stringent evaluation: Fairy Stockfish, used to evaluate trained models, is now configured to run on more threads and with a much larger hash table, making it a more challenging opponent. Evaluation results for earlier models have been recomputed.
- Easier installation: Only up to a maximum of 3 environment variables need to be set when training or evaluating a model.
- Changelog added: A changelog now tracks changes associated with each release, in detail.
Still in initial development. There may be some bugs.