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