Add Doc Test for GPT-J (#16507)

* Required the values GPTJ unfortunately cannot run the model =)

* Added the file to the doc tests

* Run Fixup and Style

* Fixed with the test versions of gptj. Ran Style and Fixup.

* Trigger ci

* A Minor Change to License

* Fixed spacing added to the benchmark_utils. Then refactored tests to const variables.

* Removed strings that were included as default parameters anyways.
Co-authored-by: ArEnSc <xx.mike.chung.xx@gmail.com>

src/transformers/models/gptj/modeling_gptj.py

@@ -36,10 +36,19 @@ from .configuration_gptj import GPTJConfig
 
 logger = logging.get_logger(__name__)
 
-_CHECKPOINT_FOR_DOC = "EleutherAI/gpt-j-6B"
+_CHECKPOINT_FOR_DOC = "hf-internal-testing/tiny-random-gptj"
 _CONFIG_FOR_DOC = "GPTJConfig"
 _TOKENIZER_FOR_DOC = "GPT2Tokenizer"
 
+_CHECKPOINT_FOR_QA = "ydshieh/tiny-random-gptj-for-question-answering"
+_QA_EXPECTED_OUTPUT = "' was Jim Henson?Jim Henson was a n'"
+_QA_EXPECTED_LOSS = 3.13
+
+_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION = "ydshieh/tiny-random-gptj-for-sequence-classification"
+_SEQ_CLASS_EXPECTED_OUTPUT = "'LABEL_0'"
+_SEQ_CLASS_EXPECTED_LOSS = 0.76
+
+
 GPTJ_PRETRAINED_MODEL_ARCHIVE_LIST = [
     "EleutherAI/gpt-j-6B",
     # See all GPT-J models at https://huggingface.co/models?filter=gptj
@@ -892,9 +901,11 @@ class GPTJForSequenceClassification(GPTJPreTrainedModel):
     @add_start_docstrings_to_model_forward(GPTJ_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
     @add_code_sample_docstrings(
         processor_class=_TOKENIZER_FOR_DOC,
-        checkpoint=_CHECKPOINT_FOR_DOC,
+        checkpoint=_CHECKPOINT_FOR_SEQUENCE_CLASSIFICATION,
         output_type=SequenceClassifierOutputWithPast,
         config_class=_CONFIG_FOR_DOC,
+        expected_output=_SEQ_CLASS_EXPECTED_OUTPUT,
+        expected_loss=_SEQ_CLASS_EXPECTED_LOSS,
     )
     def forward(
         self,
@@ -1017,9 +1028,11 @@ class GPTJForQuestionAnswering(GPTJPreTrainedModel):
     @add_start_docstrings_to_model_forward(GPTJ_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
     @add_code_sample_docstrings(
         processor_class=_TOKENIZER_FOR_DOC,
-        checkpoint=_CHECKPOINT_FOR_DOC,
+        checkpoint=_CHECKPOINT_FOR_QA,
         output_type=QuestionAnsweringModelOutput,
         config_class=_CONFIG_FOR_DOC,
+        expected_output=_QA_EXPECTED_OUTPUT,
+        expected_loss=_QA_EXPECTED_LOSS,
     )
     def forward(
         self,

utils/documentation_tests.txt

@@ -19,6 +19,7 @@ src/transformers/models/deit/modeling_deit.py
 src/transformers/models/dpt/modeling_dpt.py
 src/transformers/models/glpn/modeling_glpn.py
 src/transformers/models/gpt2/modeling_gpt2.py
+src/transformers/models/gptj/modeling_gptj.py
 src/transformers/models/hubert/modeling_hubert.py
 src/transformers/models/marian/modeling_marian.py
 src/transformers/models/mbart/modeling_mbart.py