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fix the errors #68

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aadba1d
fix the errors
dev-hjJoo Nov 16, 2023
2e06acd
Update run_conll12_bert.sh
dev-hjJoo Nov 16, 2023
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10 changes: 5 additions & 5 deletions model/deberta.py
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Original file line number Diff line number Diff line change
Expand Up @@ -916,7 +916,7 @@ class PreTrainedModel

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=SequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1031,7 +1031,7 @@ def set_output_embeddings(self, new_embeddings):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=MaskedLMOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1171,7 +1171,7 @@ def set_input_embeddings(self, new_embeddings):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=SequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1269,7 +1269,7 @@ def __init__(self, config):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=TokenClassifierOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1356,7 +1356,7 @@ def __init__(self, config):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=QuestionAnsweringModelOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down
10 changes: 5 additions & 5 deletions model/debertaV2.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1016,7 +1016,7 @@ class PreTrainedModel

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=SequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1133,7 +1133,7 @@ def set_output_embeddings(self, new_embeddings):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=MaskedLMOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1274,7 +1274,7 @@ def set_input_embeddings(self, new_embeddings):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=SequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1372,7 +1372,7 @@ def __init__(self, config):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=TokenClassifierOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down Expand Up @@ -1461,7 +1461,7 @@ def __init__(self, config):

@add_start_docstrings_to_model_forward(DEBERTA_INPUTS_DOCSTRING.format("batch_size, sequence_length"))
@add_code_sample_docstrings(
tokenizer_class=_TOKENIZER_FOR_DOC,
# processor_class=_TOKENIZER_FOR_DOC,
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=QuestionAnsweringModelOutput,
config_class=_CONFIG_FOR_DOC,
Expand Down
14 changes: 7 additions & 7 deletions run.py
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Original file line number Diff line number Diff line change
Expand Up @@ -75,20 +75,20 @@ def predict(trainer, predict_dataset=None):
handlers=[logging.StreamHandler(sys.stdout)],
)

log_level = training_args.get_process_log_level()
logger.setLevel(log_level)
datasets.utils.logging.set_verbosity(log_level)
transformers.utils.logging.set_verbosity(log_level)
transformers.utils.logging.enable_default_handler()
transformers.utils.logging.enable_explicit_format()
# log_level = training_args.get_process_log_level()
# logger.setLevel(log_level)
# datasets.utils.logging.set_verbosity(log_level)
# transformers.utils.logging.set_verbosity(log_level)
# transformers.utils.logging.enable_default_handler()
# transformers.utils.logging.enable_explicit_format()

# Log on each process the small summary:
logger.warning(
f"Process rank: {training_args.local_rank}, device: {training_args.device}, n_gpu: {training_args.n_gpu}"
+ f"distributed training: {bool(training_args.local_rank != -1)}, 16-bits training: {training_args.fp16}"
)
logger.info(f"Training/evaluation parameters {training_args}")


if not os.path.isdir("checkpoints") or not os.path.exists("checkpoints"):
os.mkdir("checkpoints")
Expand Down
2 changes: 1 addition & 1 deletion run_script/run_conll12_bert.sh
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Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ psl=128
epoch=45

python3 run.py \
--model_name_or_path roberta-large \
--model_name_or_path bert-large-uncased \
--task_name $TASK_NAME \
--dataset_name $DATASET_NAME \
--do_train \
Expand Down