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t5-small-finetuned-text-simplification – AI Model by husseinMoh | AlphaNeural AI

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husseinMoh/
t5-small-finetuned-text-simplification

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text2text-generation

generated_from_trainer

text-generation-inference

endpoints_compatible

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t5-small-finetuned-text-simplification

This model is a fine-tuned version of t5-small on the wiki_auto dataset. It achieves the following results on the evaluation set:

eval_loss: 4.9058
eval_sari: 57.2104
eval_runtime: 907.1945
eval_samples_per_second: 80.742
eval_steps_per_second: 5.047
epoch: 3.0
step: 70089

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: 5e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3.0
mixed_precision_training: Native AMP

Framework versions

Transformers 4.27.3
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2