t5-small-nlu-all-multiwoz21-context3
This model is a fine-tuned version of t5-small on MultiWOZ 2.1 both user and system utterances with context window size == 3.
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: 2
- total_train_batch_size: 256
- 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
- Downloads last month
- 7
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Dataset used to train ConvLab/t5-small-nlu-all-multiwoz21-context3
Evaluation results
- Accuracy on MultiWOZ 2.1test set self-reported73.600
- F1 on MultiWOZ 2.1test set self-reported86.900