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full dpo #1966

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jxmsML
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@jxmsML jxmsML commented Nov 7, 2024

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/torchtune/1966

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@facebook-github-bot facebook-github-bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Nov 7, 2024
@jxmsML jxmsML marked this pull request as draft November 7, 2024 19:29
Comment on lines +292 to +304
self._model = self._setup_model(
cfg_model=cfg.model,
enable_activation_checkpointing=self._enable_activation_checkpointing,
enable_activation_offloading=self._enable_activation_offloading,
custom_sharded_layers=cfg.get("custom_sharded_layers", None),
fsdp_cpu_offload=cfg.get("fsdp_cpu_offload", False),
reshard_after_forward=cfg.get("fsdp_reshard_after_forward", True),
model_state_dict=checkpoint_dict[training.MODEL_KEY],
ac_mode=cfg.get("ac_mode", None),
ac_option=cfg.get("ac_option", None),
)
log.info("Loading reference model")
self._ref_model = self._setup_model(
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@SalmanMohammadi SalmanMohammadi Nov 9, 2024

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You might need to make sure dropout is explictly disabled in the policy mode so it doesn't cause issues when comparing logprobs between the reference and policy models.

See

# disabling dropout if found - non-determinism leads to issues in e.g. comparing logprobs
for example

Comment on lines +841 to +845
if isinstance(self._loss_fn, SimPOLoss):
loss, chosen_rewards, rejected_rewards = self._loss_fn(
policy_chosen_log_probs, policy_rejected_log_probs
)
else:
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We're going to be deprecating non-DPO losses in our DPO recipes so we can take it out and simplify this whole section.

Comment on lines +782 to +783
# see :class:`~torchtune.modules.rlhf.loss.dpo.SimPOLoss`
return_average_logprobs=isinstance(self._loss_fn, SimPOLoss),
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Similar to my comment below about SimPO

@SalmanMohammadi
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Hey @jxmsML! Thanks so much for opening this. Overall it looks great - just a couple comments for things to look out for. I know this is still in draft so happy to revisit when you're ready for review - it'd be great to see some training outputs and an example config or two (I see you've added one in the recipe registry) at some point.

@SalmanMohammadi SalmanMohammadi mentioned this pull request Nov 27, 2024
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3 participants