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gpt2-medium-nlg-multiwoz21_sgd_tm1_tm2_tm3
ConvLab/gpt2-medium-nlg-multiwoz21_sgd_tm1_tm2_tm3
gpt2-medium-nlg-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.
This model is a fine-tuned version of GPT2-medium on MultiWOZ21, Schema-Guided Dialogue, TaskMaster1, TaskMaster2 and TaskMaster3
Access
Public
Updated Dec 26, 2022
Repo size
1.4 GB
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At a glance
- Access
- Public
- Created
- Dec 5, 2022
- Updated
- Dec 26, 2022
- SHA
- 29c1d744
Model card
From the Hugging Face model README
gpt2-medium-nlg-multiwoz21_sgd_tm1_tm2_tm3
This model is a fine-tuned version of GPT2-medium on MultiWOZ21, Schema-Guided Dialogue, 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: 5e-5
- train_batch_size: 64
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- optimizer: AdamW
- lr_scheduler_type: linear
- num_epochs: 20
Framework versions
- Transformers 4.23.1
- Pytorch 1.10.1+cu111
- Created
- Dec 5, 2022
- Updated
- Dec 26, 2022