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setsumbt-dst_nlu-multiwoz21-EnD2
ConvLab/setsumbt-dst_nlu-multiwoz21-EnD2
setsumbt-dst_nlu-multiwoz21-EnD2 is a machine learning model from ConvLab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version SetSUMBT of roberta-base on MultiWOZ2.1. This model is a combined DST and NLU model and is a distribution distilled version of a ensemble of 5 models. This model should be used to pr…
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Nov 30, 2022
- Updated
- Apr 6, 2023
- SHA
- c814cb13
Datasets
Model card
From the Hugging Face model README
SetSUMBT-dst-nlu-multiwoz21
This model is a fine-tuned version SetSUMBT of roberta-base on MultiWOZ2.1. This model is a combined DST and NLU model and is a distribution distilled version of a ensemble of 5 models. This model should be used to produce uncertainty estimates for the dialogue belief state.
Refer to ConvLab-3 for model description and usage.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.00001
- train_batch_size: 3
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 1
- optimizer: AdamW
- loss: Ensemble Distribution Distillation Loss
- lr_scheduler_type: linear
- num_epochs: 50.0
Framework versions
- Transformers 4.17.0
- Pytorch 1.8.0+cu110
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- roberta
- License
- apache-2.0
- Languages
- en
- Created
- Nov 30, 2022
- Updated
- Apr 6, 2023