Code parrot minor fixes/niceties (#14666)

* Add some nicety flags for better controlling evaluation.

* Fix dependency issue with outdated requirement

* Add additional flag to example to ensure eval is done

* Wrap code into main function for accelerate launcher to find

* Fix valid batch size flag in readme

* Add note to install git-lfs when initializing/training the model

* Update examples/research_projects/codeparrot/scripts/arguments.py

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Update examples/research_projects/codeparrot/README.md

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Revert "Wrap code into main function for accelerate launcher to find"

This reverts commit ff11df1c810d4df198d04b827538eb4572147ba3.

* Fix formatting issue

* Move git-lfs instructions to installation section

* Add a quick check before code generation for code evaluation

* Fix styling issue

* Update examples/research_projects/codeparrot/scripts/human_eval.py

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>

* Make iterable dataset use passed in tokenizer rather than globally defined one

Co-authored-by: Leandro von Werra <lvwerra@users.noreply.github.com>
Co-authored-by: ncoop57 <nac33@students.uwf.edu>

examples/research_projects/codeparrot/scripts/arguments.py

@@ -83,6 +83,10 @@ class HumanEvalArguments:
         metadata={"help": "Model name or path of model to be evaluated."},
     )
     num_workers: Optional[int] = field(default=None, metadata={"help": "Number of workers used for code evaluation."})
+    num_tasks: Optional[int] = field(
+        default=None,
+        metadata={"help": "The number of human-eval tasks to run. If not included all tasks are evaluated."},
+    )
     do_sample: Optional[bool] = field(
         default=True, metadata={"help": "Sample from the language model's output distribution."}
     )
@@ -101,6 +105,12 @@ class HumanEvalArguments:
     HF_ALLOW_CODE_EVAL: Optional[str] = field(
         default="0", metadata={"help": "Allow `code_eval` to execute Python code on machine"}
     )
+    device_int: Optional[int] = field(
+        default=-1,
+        metadata={
+            "help": "Determine which device to run the `text-generation` Pipeline on. -1 is CPU and any zero or positive number corresponds to which GPU device id to run on."
+        },
+    )
 
 
 @dataclass