Edit model card

checkpoints

This model is a fine-tuned version of retrieva-jp/t5-large-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
Downloads last month
3
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Model tree for nu-dialogue/t5-large-jmultiwoz-e2e

Finetuned
(1)
this model