GuysTrans/bart-base-finetuned-xsum

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bart-base-finetuned-xsum

This model is a fine-tuned version of facebook/bart-base on the None dataset. It achieves the following results on the evaluation set:

• —Loss: 1.1690
• —Rouge1: 16.5953
• —Rouge2: 12.3097
• —Rougel: 15.9007
• —Rougelsum: 16.4053
• —Bleu-1: 0.0062
• —Bleu-2: 0.0057
• —Bleu-3: 0.0054
• —Bleu-4: 0.0052
• —Gen Len: 20.0

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: 1

Training results

Framework versions

• —Transformers 4.33.0
• —Pytorch 2.0.0
• —Datasets 2.1.0
• —Tokenizers 0.13.3