eslamxm/mt5-base-finetuned-english-finetuned-english-arabic

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mt5-base-finetuned-english-finetuned-english-arabic

This model is a fine-tuned version of eslamxm/mt5-base-finetuned-english on the xlsum dataset. It achieves the following results on the evaluation set:

• —Loss: 3.4788
• —Rouge-1: 22.55
• —Rouge-2: 9.84
• —Rouge-l: 20.5
• —Gen Len: 19.0
• —Bertscore: 71.39

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: 0.0005
• —trainbatchsize: 4
• —evalbatchsize: 4
• —seed: 42
• —gradientaccumulationsteps: 8
• —totaltrainbatch_size: 32
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 5
• —labelsmoothingfactor: 0.1

Training results

Framework versions

• —Transformers 4.19.0
• —Pytorch 1.11.0+cu113
• —Datasets 2.2.1
• —Tokenizers 0.12.1