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t5-grammar-corruption – AI Model by juancavallotti | AlphaNeural AI

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juancavallotti/
t5-grammar-corruption

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-grammar-corruption

This model is a fine-tuned version of t5-base on the None dataset.

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: 0.001
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 12

Training results

Framework versions

Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1