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
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Model tree for nu-dialogue/t5-base-jmultiwoz-e2e
Base model
retrieva-jp/t5-base-long