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1fa3c6c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 | # BEMA for Reference Model
This feature implements the BEMA algorithm to update the reference model during DPO training.
## Usage
```python
from trl.experimental.bema_for_ref_model import BEMACallback, DPOTrainer
from datasets import load_dataset
dataset = load_dataset("trl-internal-testing/zen", "standard_preference", split="train")
bema_callback = BEMACallback(update_ref_model=True)
trainer = DPOTrainer(
model="trl-internal-testing/tiny-Qwen2ForCausalLM-2.5",
train_dataset=dataset,
callbacks=[bema_callback],
)
trainer.train()
```
## DPOTrainer
[[autodoc]] experimental.bema_for_ref_model.DPOTrainer
- train
- save_model
- push_to_hub
## BEMACallback
[[autodoc]] experimental.bema_for_ref_model.BEMACallback
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