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setsumbt-dst-tm123
ConvLab/setsumbt-dst-tm123
setsumbt-dst-tm123 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 Taskmaster1, Taskmaster2 and Taskmaster3.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- roberta
- Access
- Public
- Created
- Dec 1, 2022
- Updated
- Apr 6, 2023
- SHA
- 70af3b70
Model card
From the Hugging Face model README
SetSUMBT-dst-tm1-tm2-tm3
This model is a fine-tuned version SetSUMBT of roberta-base on Taskmaster1, Taskmaster2 and Taskmaster3.
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: 2
- eval_batch_size: 8
- seed: 0
- gradient_accumulation_steps: 1
- optimizer: AdamW
- 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
- Dec 1, 2022
- Updated
- Apr 6, 2023