What was the fix for this? Currently I’m getting: could not broadcast input array from shape (757) into shape (204) in trainer_utils.py
_nested_set_tensors(self, storage, arrays)
344         for i in range(self.world_size):
345             if len(arrays.shape) == 1:
 → 346                 storage[self._offsets[i] : self._offsets[i] + slice_len] = arrays[i * slice_len : (i + 1) * slice_len]
347             else:
348                 storage[self._offsets[i] : self._offsets[i] + slice_len, : arrays.shape[1]] = arrays[
unfortunately I have to use the transformers version 3.5 and the respective trainer version. what was the workaround? Is it because of dynamic padding?(padding through the data collator?)