bthomas/article2KW_test1.1_barthez-orangesum-title_finetuned_for_summerization

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article2KWtest1.1barthez-orangesum-titlefinetunedfor_summerization

This model is a fine-tuned version of moussaKam/barthez-orangesum-title on an unknown dataset. It achieves the following results on the evaluation set:

• —Loss: 1.0775
• —Rouge1: 0.2800
• —Rouge2: 0.0762
• —Rougel: 0.2806
• —Rougelsum: 0.2803

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: 5.6e-05
• —trainbatchsize: 6
• —evalbatchsize: 6
• —seed: 42
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4

Training results

Framework versions

• —Transformers 4.18.0
• —Pytorch 1.11.0
• —Datasets 2.3.2
• —Tokenizers 0.11.0