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
model-index:
- name: t5-small-nlg-all-multiwoz21
results:
- task:
type: text2text-generation
name: natural language generation
dataset:
type: ConvLab/multiwoz21
name: MultiWOZ 2.1
split: test
revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
metrics:
- type: Slot Error Rate
value: 5.4
name: SER
- type: sacrebleu
value: 29.7
name: BLEU
widget:
- text: >-
[inform][taxi]([destination][Pizza Hut Fen Ditton],[departure][Saint
John's college])
user:
- text: |-
[request][taxi]([leave at][],[arrive by][])
system:
inference:
parameters:
max_length: 100
t5-small-nlg-all-multiwoz21
This model is a fine-tuned version of t5-small on MultiWOZ 2.1 both user and system utterances.
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 4.20.1
- Pytorch 1.11.0+cu102
- Datasets 2.3.2
- Tokenizers 0.12.1