README.md

metadata

language:
  - en
license: apache-2.0
tags:
  - t5-small
  - text2text-generation
  - natural language generation
  - conversational system
  - task-oriented dialog
datasets:
  - ConvLab/multiwoz21
metrics:
  - Slot Error Rate
  - sacrebleu
widget:
  - text: |-
      [request][taxi]([leave at][],[arrive by][])

      system: 
  - text: >-
      [inform][restaurant]([area][centre],[food][Indian],[choice][nine]);[request][restaurant]([price
      range][])


      system: 
inference:
  parameters:
    max_length: 100
base_model: t5-small
model-index:
  - name: t5-small-nlg-multiwoz21
    results:
      - task:
          type: text2text-generation
          name: natural language generation
        dataset:
          name: MultiWOZ 2.1
          type: ConvLab/multiwoz21
          split: test
          revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
        metrics:
          - type: Slot Error Rate
            value: 3.7
            name: SER
          - type: sacrebleu
            value: 35.8
            name: BLEU

t5-small-nlg-multiwoz21

This model is a fine-tuned version of t5-small on MultiWOZ 2.1.

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: 128
• eval_batch_size: 64
• seed: 42
• gradient_accumulation_steps: 4
• total_train_batch_size: 512
• optimizer: Adafactor
• lr_scheduler_type: linear
• num_epochs: 10.0

Framework versions

• Transformers 4.18.0
• Pytorch 1.10.2+cu102
• Datasets 1.18.3
• Tokenizers 0.11.0