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Update trainer.py #1010

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Update trainer.py #1010

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7 changes: 3 additions & 4 deletions finetune/trainer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,7 +7,7 @@
from transformers.utils import is_sagemaker_mp_enabled
from transformers.trainer import *
from transformers.integrations import is_deepspeed_zero3_enabled

from typing import Dict, List, Optional, Tuple

class CPMTrainer(Trainer):
def compute_loss(self, model, inputs, return_outputs=False):
Expand Down Expand Up @@ -170,7 +170,7 @@ def prediction_step(

return (loss, logits, labels)

def training_step(self, model: nn.Module, inputs: Dict[str, Union[torch.Tensor, Any]]) -> torch.Tensor:
def training_step(self, model: nn.Module, inputs: Dict[str, Union[torch.Tensor, Any]], num_items_in_batch=None) -> torch.Tensor:
"""
Perform a training step on a batch of inputs.

Expand All @@ -189,8 +189,7 @@ def training_step(self, model: nn.Module, inputs: Dict[str, Union[torch.Tensor,
`torch.Tensor`: The tensor with training loss on this batch.
"""
model.train()
inputs = self._prepare_inputs(inputs)

inputs = self._prepare_inputs(inputs)
if is_sagemaker_mp_enabled():
loss_mb = smp_forward_backward(model, inputs, self.args.gradient_accumulation_steps)
return loss_mb.reduce_mean().detach().to(self.args.device)
Expand Down