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Model card defaults (#12122)

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* [WIP] Model card defaults

* finetuned_from default value

* Add all mappings to the mapping file

* Be more defensive on finetuned_from arg

* Add default task tag

* Separate tags from tasks

* Edge case for dataset

* Apply suggestions from code review

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>

Co-authored-by: Lysandre Debut <lysandre@huggingface.co>
This commit is contained in:
Sylvain Gugger
2021-06-15 16:01:37 -04:00
committed by GitHub
parent 6e7cc5cc51
commit 7d7ceca396
14 changed files with 477 additions and 26 deletions
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2
examples/pytorch/language-modeling/run_clm.py
View File

@@ -467,7 +467,7 @@ def main():
trainer.save_metrics("eval", metrics)
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "text-generation"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "text-generation"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/language-modeling/run_mlm.py
View File

@@ -497,7 +497,7 @@ def main():
trainer.save_metrics("eval", metrics)
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "fill-mask"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "fill-mask"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/language-modeling/run_plm.py
View File

@@ -471,7 +471,7 @@ def main():
trainer.save_metrics("eval", metrics)
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "language-modeling"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "language-modeling"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/multiple-choice/run_swag.py
View File

@@ -430,7 +430,7 @@ def main():
if training_args.push_to_hub:
trainer.push_to_hub(
finetuned_from=model_args.model_name_or_path,
tags="multiple-choice",
tasks="multiple-choice",
dataset_tags="swag",
dataset_args="regular",
dataset="SWAG",

2
examples/pytorch/question-answering/run_qa.py
View File

@@ -601,7 +601,7 @@ def main():
trainer.save_metrics("predict", metrics)
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "question-answering"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "question-answering"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/question-answering/run_qa_beam_search.py
View File

@@ -640,7 +640,7 @@ def main():
trainer.save_metrics("predict", metrics)
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "question-answering"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "question-answering"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/summarization/run_summarization.py
View File

@@ -583,7 +583,7 @@ def main():
writer.write("\n".join(predictions))
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "summarization"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "summarization"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/text-classification/run_glue.py
View File

@@ -538,7 +538,7 @@ def main():
writer.write(f"{index}\t{item}\n")
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "text-classification"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "text-classification"}
if data_args.task_name is not None:
kwargs["language"] = "en"
kwargs["dataset_tags"] = "glue"

2
examples/pytorch/token-classification/run_ner.py
View File

@@ -522,7 +522,7 @@ def main():
writer.write(" ".join(prediction) + "\n")
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "token-classification"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "token-classification"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None:

2
examples/pytorch/translation/run_translation.py
View File

@@ -575,7 +575,7 @@ def main():
writer.write("\n".join(predictions))
if training_args.push_to_hub:
kwargs = {"finetuned_from": model_args.model_name_or_path, "tags": "translation"}
kwargs = {"finetuned_from": model_args.model_name_or_path, "tasks": "translation"}
if data_args.dataset_name is not None:
kwargs["dataset_tags"] = data_args.dataset_name
if data_args.dataset_config_name is not None: