NourEldin-Osama
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t5-small-finetuned-text-simplification

text2text-generation

Generated from Trainer

text-generation-inference

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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

Downloads last month: 10

Safetensors

Model size

60.5M params

Tensor type

F32

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Dataset used to train NourEldin-Osama/t5-small-finetuned-text-simplification