GloriaABK1/nort5-base-finetuned-cnn-dm

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nort5-base-finetuned-cnn-dm

This model is a fine-tuned version of ltg/nort5-base on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 2.3067
• —Rouge1: 27.3203
• —Rouge2: 11.4707
• —Rougel: 22.6808
• —Rougelsum: 25.4955

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
• —trainbatchsize: 16
• —evalbatchsize: 16
• —seed: 42
• —optimizer: Use OptimizerNames.ADAMWTORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizerargs=No additional optimizer arguments
• —lrschedulertype: linear
• —lrschedulerwarmup_steps: 500
• —num_epochs: 3

Training results

Framework versions

• —Transformers 4.51.3
• —Pytorch 2.6.0+cu124
• —Datasets 3.5.0
• —Tokenizers 0.21.1