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t5-base-disfluent-fluent – AI Model by EmnaBou | AlphaNeural AI

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EmnaBou/
t5-base-disfluent-fluent

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-base-disfluent-fluent

This model is a fine-tuned version of t5-base on the None dataset. It achieves the following results on the evaluation set:

Loss: 2.1221
Bleu: 13.8066

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 2e-05
train_batch_size: 32
eval_batch_size: 64
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3

Training results

Framework versions

Transformers 4.25.1
Pytorch 1.12.1+cu113
Datasets 2.7.1
Tokenizers 0.13.2