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lilouuch/mbert2mbert-arabic-text-summarization-finetuned-xsum_arabic_abstractive_final_finaln

sourceHugging Faceupdated 4y agoView on Hugging Face
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Model Card

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mbert2mbert-arabic-text-summarization-finetuned-xsumarabicabstractivefinalfinaln

This model is a fine-tuned version of malmarjeh/mbert2mbert-arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:

  • —Loss: 2.2826
  • —Rouge1: 0.0119
  • —Rouge2: 0.0
  • —Rougel: 0.0119
  • —Rougelsum: 0.0119
  • —Gen Len: 41.8856

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

Training results

Training LossEpochStepValidation LossRouge1Rouge2RougelRougelsumGen Len
2.51041.079152.36840.00.00.00.041.8314
2.22222.0158302.28260.01190.00.01190.011941.8856

Framework versions

  • —Transformers 4.20.1
  • —Pytorch 1.11.0
  • —Datasets 2.1.0
  • —Tokenizers 0.12.1