|
--- |
|
language: |
|
- en |
|
license: apache-2.0 |
|
tags: |
|
- t5-small |
|
- text2text-generation |
|
- natural language generation |
|
- conversational system |
|
- task-oriented dialog |
|
datasets: |
|
- ConvLab/sgd |
|
metrics: |
|
- Slot Error Rate |
|
- sacrebleu |
|
|
|
model-index: |
|
- name: t5-small-nlg-sgd |
|
results: |
|
- task: |
|
type: text2text-generation |
|
name: natural language generation |
|
dataset: |
|
type: ConvLab/sgd |
|
name: SGD |
|
split: test |
|
revision: 6e8c79b888b21cc658cf9c0ce128d263241cf70f |
|
metrics: |
|
- type: Slot Error Rate |
|
value: 11.9 |
|
name: SER |
|
- type: sacrebleu |
|
value: 29.6 |
|
name: BLEU |
|
|
|
widget: |
|
- text: "[request][Restaurants_2]([time][],[restaurant_name][],[location][])\n\nsystem: " |
|
- text: "[confirm][Restaurants_2]([number_of_seats][2],[restaurant_name][P.f. Chang's],[location][Corte Madera],[time][12 pm],[date][March 8th])\n\nsystem: " |
|
|
|
--- |
|
|
|
# t5-small-nlg-sgd |
|
|
|
This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on [Schema-Guided Dialog](https://huggingface.co/datasets/ConvLab/sgd). |
|
|
|
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: 64 |
|
- eval_batch_size: 64 |
|
- seed: 42 |
|
- gradient_accumulation_steps: 8 |
|
- 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 |
|
|
