
# SUMBT-dst-multiwoz21

This model is a fine-tuned version [SUMBT](https://github.com/ConvLab/ConvLab-3/tree/master/convlab/dst/setsumbt) of [roberta-base](https://huggingface.co/roberta-base) on [MultiWOZ2.1](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: 0.00001
- 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

{"language": ["en"], "license": "apache-2.0", "tags": ["roberta", "classification", "dialog state tracking", "conversational system", "task-oriented dialog"], "datasets": ["ConvLab/multiwoz21"], "metrics": ["Joint Goal Accuracy", "Slot F1"], "model-index": [{"name": "setsumbt-dst-multiwoz21", "results": [{"task": {"type": "classification", "name": "dialog state tracking"}, "dataset": {"name": "MultiWOZ21", "type": "ConvLab/multiwoz21", "split": "test"}, "metrics": [{"type": "Joint Goal Accuracy", "value": 50.3, "name": "JGA"}, {"type": "Slot F1", "value": 90.8, "name": "Slot F1"}]}]}]}
transformers pytorch roberta classification dialog state tracking conversational system task-oriented dialog en dataset:ConvLab/multiwoz21 license:apache-2.0 model-index endpoints_compatible region:us
TAGS
#transformers #pytorch #roberta #classification #dialog state tracking #conversational system #task-oriented dialog #en #dataset-ConvLab/multiwoz21 #license-apache-2.0 #model-index #endpoints_compatible #region-us 


# SUMBT-dst-multiwoz21

This model is a fine-tuned version SUMBT of roberta-base on MultiWOZ2.1.

Refer to 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

# SUMBT-dst-multiwoz21

This model is a fine-tuned version SUMBT of roberta-base on MultiWOZ2.1.

Refer to 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
TAGS
#transformers #pytorch #roberta #classification #dialog state tracking #conversational system #task-oriented dialog #en #dataset-ConvLab/multiwoz21 #license-apache-2.0 #model-index #endpoints_compatible #region-us 
 # SUMBT-dst-multiwoz21

This model is a fine-tuned version SUMBT of roberta-base on MultiWOZ2.1.

Refer to 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