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t5-small-nlu-sgd – AI Model by ConvLab | AlphaNeural AI
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ConvLab
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t5-small-nlu-sgd
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transformers
pytorch
t5
text2text-generation
t5-small
natural language understanding
conversational system
task-oriented dialog
en
ConvLab/sgd
apache-2.0
model-index
text-generation-inference
endpoints_compatible
us
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t5-small-nlu-sgd
This model is a fine-tuned version of
t5-small
on
Schema-Guided Dialog
.
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: 128
eval_batch_size: 64
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 256
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