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NourEldin-Osama/
mT5-finetuned-xlsum

Name: mT5-finetuned-xlsum
Availability: InStock

generated_from_trainer

xlsum

model-index

endpoints_compatible

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mT5-finetuned-xlsum

This model is a fine-tuned version of csebuetnlp/mT5_m2o_arabic_crossSum on the xlsum dataset. It achieves the following results on the evaluation set:

Loss: 0.6752
Rouge1: 0.1179
Rouge2: 0.0231
Rougel: 0.118
Rougelsum: 0.1178
Gen Len: 47.6818

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
train_batch_size: 4
eval_batch_size: 4
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 1

Training results

Training Loss	Epoch	Step	Validation Loss	Rouge1	Rouge2	Rougel	Rougelsum	Gen Len
0.8728	1.0	9380	0.6752	0.1179	0.0231	0.118	0.1178	47.6818

Framework versions

Transformers 4.30.2
Pytorch 2.0.0
Datasets 2.13.1
Tokenizers 0.13.3

NourEldin-Osama/mT5-finetuned-xlsum

mT5-finetuned-xlsum

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

NourEldin-Osama/
mT5-finetuned-xlsum