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t5-PostOCRAutoCorrecttion – AI Model by jwhong2006 | AlphaNeural AI

You can deploy this model and start earning money today!

jwhong2006/
t5-PostOCRAutoCorrecttion

like

0

text2text-generation

generated_from_trainer

PleIAs/Post-OCR-Correction

google-t5/t5-small

text-generation-inference

endpoints_compatible

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t5-PostOCRAutoCorrecttion

This model is a fine-tuned version of google-t5/t5-small on an unknown 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: 2e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
training_steps: 15000

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.0+cu121
Datasets 2.19.2
Tokenizers 0.19.1