YAML Metadata
Error:
"model-index[0].results[0].dataset.type" with value "ConvLab/tm1, ConvLab/tm2, ConvLab/tm3" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/
t5-small-dst-tm1_tm2_tm3
This model is a fine-tuned version of t5-small on Taskmaster-1, Taskmaster-2, and Taskmaster-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: 64
- eval_batch_size: 64
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 128
- 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
- Downloads last month
- 3
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.