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ConvLab/setsumbt-dst-tm123 · Pirate Face

ConvLab/setsumbt-dst-tm123

Source: 🤗apache-2.08.8 GBother✓ 2 checksumsupdated 1,312d ago

SetSUMBT-dst-tm1-tm2-tm3

This model is a fine-tuned version SetSUMBT of roberta-base on Taskmaster1, Taskmaster2 and Taskmaster3.

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: 2
eval_batch_size: 8
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

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Weight files: 2
Model size: 8.8 GB
Downloads · last month: 7
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