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[CI-doc-daily] Remove RobertaPreLayernorm random tests #20992

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Merged
ArthurZucker merged 4 commits into from
Jan 14, 2023
Merged

[CI-doc-daily] Remove RobertaPreLayernorm random tests #20992

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215d0c7
Remove random output
ArthurZucker Jan 4, 2023
6c36965
remove values
ArthurZucker Jan 4, 2023
0f2e446
fix copy statements
ArthurZucker Jan 4, 2023
d4484b8
Merge branch 'main' of https://github.com/huggingface/transformers in…
ArthurZucker Jan 4, 2023
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12 changes: 2 additions & 10 deletions src/transformers/models/roberta_prelayernorm/modeling_roberta_prelayernorm.py
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Original file line number Diff line number Diff line change
Expand Up @@ -1042,12 +1042,12 @@ def _reorder_cache(self, past, beam_idx):
@add_start_docstrings(
"""RoBERTa-PreLayerNorm Model with a `language modeling` head on top.""", ROBERTA_PRELAYERNORM_START_DOCSTRING
)
# Copied from transformers.models.roberta.modeling_roberta.RobertaForMaskedLM with ROBERTA->ROBERTA_PRELAYERNORM,Roberta->RobertaPreLayerNorm,roberta->roberta_prelayernorm
class RobertaPreLayerNormForMaskedLM(RobertaPreLayerNormPreTrainedModel):
_keys_to_ignore_on_save = [r"lm_head.decoder.weight", r"lm_head.decoder.bias"]
_keys_to_ignore_on_load_missing = [r"position_ids", r"lm_head.decoder.weight", r"lm_head.decoder.bias"]
_keys_to_ignore_on_load_unexpected = [r"pooler"]

# Copied from transformers.models.roberta.modeling_roberta.RobertaForMaskedLM.__init__ with ROBERTA->ROBERTA_PRELAYERNORM,Roberta->RobertaPreLayerNorm,roberta->roberta_prelayernorm
def __init__(self, config):
super().__init__(config)

Expand Down Expand Up @@ -1078,10 +1078,8 @@ def set_output_embeddings(self, new_embeddings):
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=MaskedLMOutput,
config_class=_CONFIG_FOR_DOC,
mask="<mask>",
expected_output="' Paris'",
expected_loss=0.1,
)
# Copied from transformers.models.roberta.modeling_roberta.RobertaForMaskedLM.forward with ROBERTA->ROBERTA_PRELAYERNORM,Roberta->RobertaPreLayerNorm,roberta->roberta_prelayernorm
def forward(
self,
input_ids: Optional[torch.LongTensor] = None,
Expand Down Expand Up @@ -1199,8 +1197,6 @@ def __init__(self, config):
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=SequenceClassifierOutput,
config_class=_CONFIG_FOR_DOC,
expected_output="'optimism'",
expected_loss=0.08,
)
# Copied from transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification.forward with roberta->roberta_prelayernorm
def forward(
Expand Down Expand Up @@ -1400,8 +1396,6 @@ def __init__(self, config):
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=TokenClassifierOutput,
config_class=_CONFIG_FOR_DOC,
expected_output="['O', 'ORG', 'ORG', 'O', 'O', 'O', 'O', 'O', 'LOC', 'O', 'LOC', 'LOC']",
expected_loss=0.01,
)
# Copied from transformers.models.roberta.modeling_roberta.RobertaForTokenClassification.forward with roberta->roberta_prelayernorm
def forward(
Expand Down Expand Up @@ -1507,8 +1501,6 @@ def __init__(self, config):
checkpoint=_CHECKPOINT_FOR_DOC,
output_type=QuestionAnsweringModelOutput,
config_class=_CONFIG_FOR_DOC,
expected_output="' puppet'",
expected_loss=0.86,
)
# Copied from transformers.models.roberta.modeling_roberta.RobertaForQuestionAnswering.forward with roberta->roberta_prelayernorm
def forward(
Expand Down