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Training_Dependency_Based_Model #19

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LeonHammerla opened this issue May 4, 2022 · 1 comment

LeonHammerla commented May 4, 2022

The config jsonnet for the bert-base model (bert_base_dep.jsonnet) has the following lines:

"model": {
"type": "transformer_srl_span",
"embedding_dropout": 0.1,
"bert_model": "bert-base-cased",
},

which should be transformer_srl_dependency??? When changing to dependency running and training of the model results in an ERROR

When trying to train a model based on the bert_tiny_dep.jsonnet (which has the correct model-type) training also results in an ERROR, stating:

TypeError: forward() got an unexpected keyword argument 'sentence_end'

Author

LeonHammerla commented May 4, 2022

possible fix: add **kwargs to forward method in model.py of transformer_srl_dependency model?

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