Downloads · 30 days
10
1% of all-time downloads
mt5-small-dst-crosswoz
ConvLab/mt5-small-dst-crosswoz
mt5-small-dst-crosswoz is a machine learning model from ConvLab. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
This model is a fine-tuned version of mt5-small on CrossWOZ.
All-time downloads
1.2K
Public
Repo size
2.4 GB
Likes
3
Public
Repo makeup
Click a slice to open those files.
.bin1.2 GB · 98%
At a glance
- Library
- transformers
- License
- apache-2.0
- Model type
- mt5
- Access
- Public
- Created
- Jan 11, 2023
- Updated
- Jan 18, 2023
- SHA
- 8d3daaff
Try a prompt
Datasets
Model card
From the Hugging Face model README
mt5-small-dst-crosswoz
This model is a fine-tuned version of mt5-small on CrossWOZ.
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: 16
- eval_batch_size: 16
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 64
- optimizer: Adafactor
- lr_scheduler_type: linear
- num_epochs: 10.0
Framework versions
- Transformers 4.20.1
- Pytorch 1.11.0+cu113
- Datasets 2.3.2
- Tokenizers 0.12.1
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Languages
- zh
- Created
- Jan 11, 2023
- Updated
- Jan 18, 2023