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---
language:
- en
license: apache-2.0
tags:
- t5-small
- text2text-generation
- dialogue generation
- conversational system
- task-oriented dialog
datasets:
- ConvLab/multiwoz21
metrics:
- LM loss
model-index:
- name: t5-small-goal2dialogue-multiwoz21
results:
- task:
type: text2text-generation
name: dialogue generation
dataset:
type: ConvLab/multiwoz21
name: MultiWOZ 2.1
split: validation
revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
metrics:
- type: Language model loss
value: 1.5253684520721436
name: LM loss
- task:
type: text2text-generation
name: dialogue generation
dataset:
type: ConvLab/multiwoz21
name: MultiWOZ 2.1
split: test
revision: 5f55375edbfe0270c20bcf770751ad982c0e6614
metrics:
- type: Language model loss
value: 1.515929937362671
name: LM loss
widget:
- text: "You are traveling to Cambridge and looking forward to try local restaurants. You are looking for a particular attraction. Its name is called nusha. Make sure you get postcode and address. You are also looking for a place to dine. The restaurant should be in the expensive price range and should serve indian food. The restaurant should be in the centre. Make sure you get address"
- text: "You want to book a taxi. The taxi should go to pizza hut fen ditton and should depart from saint john's college. The taxi should leave after 17:15. Make sure you get car type and contact number"
inference:
parameters:
max_length: 1024
---
# t5-small-goal2dialogue-multiwoz21
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [MultiWOZ 2.1](https://huggingface.co/datasets/ConvLab/multiwoz21).
Refer to [ConvLab-3](https://github.com/ConvLab/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: 32
- eval_batch_size: 64
- seed: 42
- distributed_type: multi-GPU
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- 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
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