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updated examples/pytorch/language-modeling scripts and requirements.txt to require datasets>=2.14.0 (#30120)

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updated requirements.txt and require_version() calls in examples/pytorch/language-modeling to require datasets>=2.14.0
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Haz Sameen Shahgir
2024-04-08 17:41:28 +06:00
committed by GitHub
parent 836e88caee
commit 5e673ed2dc
8 changed files with 8 additions and 8 deletions
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2
examples/pytorch/language-modeling/requirements.txt
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@@ -1,6 +1,6 @@
accelerate >= 0.12.0 accelerate >= 0.12.0
torch >= 1.3 torch >= 1.3
datasets >= 1.8.0 datasets >= 2.14.0
sentencepiece != 0.1.92 sentencepiece != 0.1.92
protobuf protobuf
evaluate evaluate

2
examples/pytorch/language-modeling/run_clm.py
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@@ -58,7 +58,7 @@ from transformers.utils.versions import require_version
# Will error if the minimal version of Transformers is not installed. Remove at your own risks. # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
check_min_version("4.40.0.dev0") check_min_version("4.40.0.dev0")
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)

2
examples/pytorch/language-modeling/run_clm_no_trainer.py
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@@ -61,7 +61,7 @@ check_min_version("4.40.0.dev0")
logger = get_logger(__name__) logger = get_logger(__name__)
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys()) MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys())
MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES) MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)

2
examples/pytorch/language-modeling/run_fim.py
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@@ -60,7 +60,7 @@ from transformers.utils.versions import require_version
# Will error if the minimal version of Transformers is not installed. Remove at your own risks. # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
check_min_version("4.40.0.dev0") check_min_version("4.40.0.dev0")
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)

2
examples/pytorch/language-modeling/run_fim_no_trainer.py
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@@ -64,7 +64,7 @@ check_min_version("4.40.0.dev0")
logger = get_logger(__name__) logger = get_logger(__name__)
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys()) MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys())
MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES) MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)

2
examples/pytorch/language-modeling/run_mlm.py
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@@ -57,7 +57,7 @@ from transformers.utils.versions import require_version
# Will error if the minimal version of Transformers is not installed. Remove at your own risks. # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
check_min_version("4.40.0.dev0") check_min_version("4.40.0.dev0")
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)
MODEL_CONFIG_CLASSES = list(MODEL_FOR_MASKED_LM_MAPPING.keys()) MODEL_CONFIG_CLASSES = list(MODEL_FOR_MASKED_LM_MAPPING.keys())

2
examples/pytorch/language-modeling/run_mlm_no_trainer.py
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@@ -60,7 +60,7 @@ from transformers.utils.versions import require_version
check_min_version("4.40.0.dev0") check_min_version("4.40.0.dev0")
logger = get_logger(__name__) logger = get_logger(__name__)
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys()) MODEL_CONFIG_CLASSES = list(MODEL_MAPPING.keys())
MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES) MODEL_TYPES = tuple(conf.model_type for conf in MODEL_CONFIG_CLASSES)

2
examples/pytorch/language-modeling/run_plm.py
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@@ -50,7 +50,7 @@ from transformers.utils.versions import require_version
# Will error if the minimal version of Transformers is not installed. Remove at your own risks. # Will error if the minimal version of Transformers is not installed. Remove at your own risks.
check_min_version("4.40.0.dev0") check_min_version("4.40.0.dev0")
require_version("datasets>=1.8.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt") require_version("datasets>=2.14.0", "To fix: pip install -r examples/pytorch/language-modeling/requirements.txt")
logger = logging.getLogger(__name__) logger = logging.getLogger(__name__)