File size: 1,307 Bytes
fce6bad eac02c5 fce6bad eac02c5 fce6bad eac02c5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 |
---
language:
- en
license: apache-2.0
tags:
- roberta
- classification
- dialog state tracking
- conversational system
- task-oriented dialog
datasets:
- ConvLab/sgd
metrics:
- Joint Goal Accuracy
- Slot F1
model-index:
- name: setsumbt-dst-sgd
results:
- task:
type: classification
name: dialog state tracking
dataset:
type: ConvLab/sgd
name: SGD
split: test
metrics:
- type: Joint Goal Accuracy
value: 20.0
name: JGA
- type: Slot F1
value: 58.8
name: Slot F1
---
# SetSUMBT-dst-sgd
This model is a fine-tuned version [SetSUMBT](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/dst/setsumbt) of [roberta-base](https://huggingface.co/roberta-base) 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: 0.00001
- train_batch_size: 3
- eval_batch_size: 16
- seed: 0
- gradient_accumulation_steps: 1
- optimizer: AdamW
- lr_scheduler_type: linear
- num_epochs: 50.0
### Framework versions
- Transformers 4.17.0
- Pytorch 1.8.0+cu110
- Datasets 2.3.2
- Tokenizers 0.12.1
|