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t5-base-jmultiwoz-e2e
nu-dialogue/t5-base-jmultiwoz-e2e
t5-base-jmultiwoz-e2e is a machine learning model from nu-dialogue. 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 cc-by-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- License
- cc-by-sa-4.0
- Model type
- t5
- Access
- Public
- Created
- Jan 20, 2024
- Updated
- Jan 20, 2024
- SHA
- 5f805093
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
checkpoints
This model is a fine-tuned version of retrieva-jp/t5-base-long on the JMultiWOZ dataset.
The details of this model, the dataset, and the usage are described in JMultiWOZ repository: nu-dialogue/jmultiwoz
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- distributed_type: multi-GPU
- num_devices: 16
- total_train_batch_size: 32
- total_eval_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5.0
Framework versions
- Transformers 4.35.0.dev0
- Pytorch 1.13.1+cu116
- Datasets 2.14.5
- Tokenizers 0.14.1
- Library
- transformers
- Type
- t5
- License
- cc-by-sa-4.0
- Created
- Jan 20, 2024
- Updated
- Jan 20, 2024