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-nlg-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: 8
total_train_batch_size: 512
optimizer: Adafactor
lr_scheduler_type: linear
num_epochs: 10.0

Framework versions

Transformers 4.18.0
Pytorch 1.10.2+cu102
Datasets 1.18.3
Tokenizers 0.11.0

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Datasets used to train ConvLab/t5-small-nlg-tm1_tm2_tm3

Evaluation results

Model card error

This model's model-index metadata is invalid: Schema validation error. "model-index[0].results[0].dataset.type" with value "ConvLab/tm1, ConvLab/tm2, ConvLab/tm3" fails to match the required pattern: /^(?:[\w-]+\/)?[\w-.]+$/