v0.0.1: initial release

What's Changed

• separate data processing to data.py by @aryamanarora in #1
• Initial attempt to adapt to HF trainer by @aryamanarora in #2
• add weight decay param by @aryamanarora in #3
• [Bug fix] fix layer parsing step after dataset creation and others by @frankaging in #4
• separate argparse from training fxn by @aryamanarora in #8
• change math and commonsense to LLM adaptor template by @frankaging in #7
• Adding in stsb support by @frankaging in #10
• add an option for normalized input; GLUE in training HF eval by @frankaging in #11
• gsm8k splits by @aryamanarora in #12
• sharing interventions across positions by @frankaging in #13
• fix padding on intervention locations by @aryamanarora in #15
• more update on the padding thing with gsm8k and others by @frankaging in #16
• add gd option by @frankaging in #17
• adjust decode stra by @frankaging in #18
• Zen/gsm8k by @frankaging in #19
• minor fix by @frankaging in #20
• move generation args to config file by @aryamanarora in #21
• Update README.md by @PinetreePantry in #22
• Verified README code, fix a bug preventing proper save and load by @PinetreePantry in #23
• Update README.md by @eltociear in #32

New Contributors

• @aryamanarora made their first contribution in #1
• @frankaging made their first contribution in #4
• @PinetreePantry made their first contribution in #22
• @eltociear made their first contribution in #32

Full Changelog: https://github.com/stanfordnlp/pyreft/commits/v0.0.1