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t5-large-jmultiwoz-e2e – AI Model by nu-dialogue | AlphaNeural AI
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nu-dialogue
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t5-large-jmultiwoz-e2e
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transformers
pytorch
t5
text2text-generation
generated_from_trainer
retrieva-jp/t5-large-long
finetune
cc-by-sa-4.0
text-generation-inference
endpoints_compatible
us
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checkpoints
This model is a fine-tuned version of
retrieva-jp/t5-large-long
on the
JMultiWOZ dataset
.
The details of this model, the dataset, and the usage are described in JMultiWOZ repository:
nu-dialogue/jmultiwoz
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 5e-05
train_batch_size: 2
eval_batch_size: 2
seed: 42
distributed_type: multi-GPU
num_devices: 16
total_train_batch_size: 32
total_eval_batch_size: 32
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 5.0
Framework versions
Transformers 4.35.0.dev0
Pytorch 1.13.1+cu116
Datasets 2.14.5
Tokenizers 0.14.1
