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bart-base-finetuned-text-simplification – AI Model by husseinMoh | AlphaNeural AI
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husseinMoh
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bart-base-finetuned-text-simplification
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transformers
pytorch
bart
text2text-generation
generated_from_trainer
wiki_auto
apache-2.0
endpoints_compatible
us
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bart-base-finetuned-text-simplification
This model is a fine-tuned version of
facebook/bart-base
on the wiki_auto dataset. It achieves the following results on the evaluation set:
Loss: 7.4564
Sari: 58.8687
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
0.1758
1.0
23363
6.7617
58.9526
0.1474
2.0
46726
7.1742
58.8800
0.1349
3.0
70089
7.4564
58.8687
Framework versions
Transformers 4.27.4
Pytorch 1.13.0
Datasets 2.1.0
Tokenizers 0.13.2
