def test_language_modeling_plm() -> None:
example_path = conf.model_hub_examples_path("huggingface/language-modeling")
config = conf.load_config(os.path.join(example_path, "plm_config.yaml"))
config = conf.set_max_length(config, {"batches": 200})
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_text_classification_glue() -> None:
example_path = conf.model_hub_examples_path("huggingface/text-classification")
config = conf.load_config(os.path.join(example_path, "glue_config.yaml"))
config = conf.set_max_length(config, {"batches": 200})
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_squad_v2_with_beam_search() -> None:
example_path = conf.model_hub_examples_path("huggingface/question-answering")
config = conf.load_config(os.path.join(example_path, "squad_v2_beam_search.yaml"))
config = conf.set_slots_per_trial(config, 8)
config = conf.set_global_batch_size(config, 16)
config = conf.set_max_length(config, {"batches": 200})
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_token_classification_ner() -> None:
example_path = conf.model_hub_examples_path("huggingface/token-classification")
config = conf.load_config(os.path.join(example_path, "ner_config.yaml"))
config = conf.set_slots_per_trial(config, 8)
config = conf.set_global_batch_size(config, 32)
config = conf.set_max_length(config, {"batches": 200})
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_multiple_choice_swag() -> None:
example_path = conf.model_hub_examples_path("huggingface/multiple-choice")
config = conf.load_config(os.path.join(example_path, "swag_config.yaml"))
config = conf.set_slots_per_trial(config, 8)
config = conf.set_global_batch_size(config, 64)
config = conf.set_max_length(config, {"batches": 200})
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_language_modeling_mlm_amp() -> None:
example_path = conf.model_hub_examples_path("huggingface/language-modeling")
config = conf.load_config(os.path.join(example_path, "mlm_config.yaml"))
config = conf.set_slots_per_trial(config, 8)
config = conf.set_global_batch_size(config, 16)
config = conf.set_max_length(config, {"batches": 200})
config = conf.set_hparam(config, "use_apex_amp", True)
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_squad_amp() -> None:
example_path = conf.model_hub_examples_path("huggingface/question-answering")
config = conf.load_config(os.path.join(example_path, "squad.yaml"))
config = conf.set_slots_per_trial(config, 8)
config = conf.set_global_batch_size(config, 64)
config = conf.set_max_length(config, {"batches": 200})
config = conf.set_hparam(config, "use_apex_amp", True)
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
def test_text_classification_xnli_amp() -> None:
example_path = conf.model_hub_examples_path("huggingface/text-classification")
config = conf.load_config(os.path.join(example_path, "xnli_config.yaml"))
config = conf.set_slots_per_trial(config, 8)
config = conf.set_global_batch_size(config, 128)
config = conf.set_max_length(config, {"batches": 200})
config = conf.set_hparam(config, "use_apex_amp", True)
config = set_docker_image(config)
exp.run_basic_test_with_temp_config(config, example_path, 1)
