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setsumbt-dst-tm123 – AI Model by ConvLab | AlphaNeural AI

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ConvLab/
setsumbt-dst-tm123

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dialog state tracking

conversational system

task-oriented dialog

endpoints_compatible

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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