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Don't pass in token_type_ids to BART for GLUE (#8929)

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Without this fix, training a `BARTForSequenceClassification` model with `run_pl_glue.py` gives `TypeError: forward() got an unexpected keyword argument 'token_type_ids'`, because BART does not have token_type_ids. I've solved this issue in the same way as it's solved for the "distilbert" model, and I can train BART models on SNLI without errors now.
This commit is contained in:
Ethan Perez
2020-12-05 07:52:16 -07:00
committed by GitHub
parent df311a5ccf
commit 8dfc8c7221
1 changed files with 2 additions and 2 deletions
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4
examples/text-classification/run_pl_glue.py
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@@ -38,7 +38,7 @@ class GLUETransformer(BaseTransformer):
def training_step(self, batch, batch_idx): def training_step(self, batch, batch_idx):
inputs = {"input_ids": batch[0], "attention_mask": batch[1], "labels": batch[3]} inputs = {"input_ids": batch[0], "attention_mask": batch[1], "labels": batch[3]}
if self.config.model_type != "distilbert": if self.config.model_type not in ["distilbert", "bart"]:
inputs["token_type_ids"] = batch[2] if self.config.model_type in ["bert", "xlnet", "albert"] else None inputs["token_type_ids"] = batch[2] if self.config.model_type in ["bert", "xlnet", "albert"] else None
outputs = self(**inputs) outputs = self(**inputs)
@@ -101,7 +101,7 @@ class GLUETransformer(BaseTransformer):
def validation_step(self, batch, batch_idx): def validation_step(self, batch, batch_idx):
inputs = {"input_ids": batch[0], "attention_mask": batch[1], "labels": batch[3]} inputs = {"input_ids": batch[0], "attention_mask": batch[1], "labels": batch[3]}
if self.config.model_type != "distilbert": if self.config.model_type not in ["distilbert", "bart"]:
inputs["token_type_ids"] = batch[2] if self.config.model_type in ["bert", "xlnet", "albert"] else None inputs["token_type_ids"] = batch[2] if self.config.model_type in ["bert", "xlnet", "albert"] else None
outputs = self(**inputs) outputs = self(**inputs)