gayanin/bart-paraphrasing-mlm-med-mask-filling

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bart-paraphrasing-mlm-med-mask-filling

This model is a fine-tuned version of gayanin/bart-paraphrase-pubmed-1.1 on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 0.2528
• —Rouge2 Precision: 0.8317
• —Rouge2 Recall: 0.5986
• —Rouge2 Fmeasure: 0.6751

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: 2e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.21.1
• —Pytorch 1.12.1+cu113
• —Datasets 2.4.0
• —Tokenizers 0.12.1