Fix failing DeepSpeed model zoo tests (#30112)

* fix sequence length errors

* fix label column name error for vit

* fix the lm_head embedding!=linear layer mismatches for Seq2Seq models

src/transformers/modeling_utils.py

@@ -1932,7 +1932,10 @@ class PreTrainedModel(nn.Module, ModuleUtilsMixin, GenerationMixin, PushToHubMix
         # if word embeddings are not tied, make sure that lm head is resized as well
         if self.get_output_embeddings() is not None and not self.config.tie_word_embeddings:
             old_lm_head = self.get_output_embeddings()
-            new_lm_head = self._get_resized_lm_head(old_lm_head, new_num_tokens)
+            if isinstance(old_lm_head, torch.nn.Embedding):
+                new_lm_head = self._get_resized_embeddings(old_lm_head, new_num_tokens)
+            else:
+                new_lm_head = self._get_resized_lm_head(old_lm_head, new_num_tokens)
             if hasattr(old_lm_head, "_hf_hook"):
                 hook = old_lm_head._hf_hook
                 add_hook_to_module(new_lm_head, hook)

tests/deepspeed/test_model_zoo.py

@@ -236,6 +236,8 @@ def make_task_cmds():
         --train_file {data_dir_wmt}/train.json
         --source_lang en
         --target_lang ro
+        --max_source_length 12
+        --max_target_length 12
         """,
         "sum": f"""
         {scripts_dir}/summarization/run_summarization.py
@@ -269,6 +271,7 @@ def make_task_cmds():
             --remove_unused_columns False
             --max_steps 10
             --image_processor_name {DS_TESTS_DIRECTORY}/vit_feature_extractor.json
+            --label_column_name labels
         """,
     }