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t5-base-jmultiwoz-e2e – AI Model by nu-dialogue | AlphaNeural AI

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nu-dialogue/
t5-base-jmultiwoz-e2e

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text2text-generation

generated_from_trainer

retrieva-jp/t5-base-long

text-generation-inference

endpoints_compatible

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checkpoints

This model is a fine-tuned version of retrieva-jp/t5-base-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