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t5-small-finetuned-text-simplification – AI Model by NourEldin-Osama | AlphaNeural AI
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NourEldin-Osama
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t5-small-finetuned-text-simplification
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transformers
pytorch
tensorboard
safetensors
t5
text2text-generation
generated_from_trainer
wiki_auto
apache-2.0
text-generation-inference
endpoints_compatible
us
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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:
Loss: 4.9119
Sari: 57.2334
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
Training results
Training Loss
Epoch
Step
Validation Loss
Sari
1.6567
1.0
23363
4.5102
58.1853
3.7655
2.0
46726
4.9119
57.2334
3.7498
3.0
70089
4.9119
57.2334
Framework versions
Transformers 4.26.1
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
