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mT5_multilingual_XLSum-finetuned-fa-finetuned-ar – AI Model by ahmeddbahaa | AlphaNeural AI
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mT5_multilingual_XLSum-finetuned-fa-finetuned-ar
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transformers
pytorch
tensorboard
mt5
text2text-generation
summarization
Abstractive Summarization
ar
generated_from_trainer
xlsum
endpoints_compatible
us
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mT5_multilingual_XLSum-finetuned-fa-finetuned-ar
This model is a fine-tuned version of
ahmeddbahaa/mT5_multilingual_XLSum-finetuned-fa
on the xlsum dataset. It achieves the following results on the evaluation set:
Loss: 3.6352
Rouge-1: 28.69
Rouge-2: 11.6
Rouge-l: 24.29
Gen Len: 41.37
Bertscore: 73.37
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
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 8
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 250
num_epochs: 5
label_smoothing_factor: 0.1
Training results
Framework versions
Transformers 4.19.2
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
