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t5-small-dst-multiwoz21_sgd_tm1_tm2_tm3
ConvLab/t5-small-dst-multiwoz21_sgd_tm1_tm2_tm3
t5-small-dst-multiwoz21_sgd_tm1_tm2_tm3 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 of t5-small on MultiWOZ 2.1, Schema-Guided Dialog, Taskmaster-1, Taskmaster-2, and Taskmaster-3.
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At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- t5
- Access
- Public
- Created
- Nov 25, 2022
- Updated
- Nov 25, 2022
- SHA
- 91518666
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Model card
From the Hugging Face model README
t5-small-dst-multiwoz21_sgd_tm1_tm2_tm3
This model is a fine-tuned version of t5-small on MultiWOZ 2.1, Schema-Guided Dialog, Taskmaster-1, Taskmaster-2, and Taskmaster-3.
Refer to ConvLab-3 for model description and usage.
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.001
- train_batch_size: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 10.0
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- t5
- License
- apache-2.0
- Languages
- en
- Created
- Nov 25, 2022
- Updated
- Nov 25, 2022