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Cleaner integration.
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@@ -72,15 +72,9 @@ class PairwiseTrainer(Trainer):
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self.processor = processor
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self.can_return_loss = True # override property to return eval_loss
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if finetuning_args.use_badam:
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from badam import clip_grad_norm_for_sparse_tensor
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self.accelerator.clip_grad_norm_ = MethodType(clip_grad_norm_for_sparse_tensor, self.accelerator)
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if (self.args.deepspeed_plugin is not None
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and self.args.deepspeed_plugin.zero_stage == 3
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):
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from badam.utils import BAdamZeRO3Callback
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self.callback_handler.add_callback(BAdamZeRO3Callback)
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from badam import clip_grad_norm_old_version, BAdamCallback
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self.accelerator.clip_grad_norm_ = MethodType(clip_grad_norm_old_version, self.accelerator)
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self.callback_handler.add_callback(BAdamCallback)
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def create_optimizer(self) -> "torch.optim.Optimizer":
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if self.optimizer is None:
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