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mt5-base-finetuned-wikilingua-ar – AI Model by ahmeddbahaa | AlphaNeural AI
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mt5-base-finetuned-wikilingua-ar
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transformers
pytorch
tensorboard
mt5
text2text-generation
summarization
ar
abstractive summarization
generated_from_trainer
wiki_lingua
apache-2.0
endpoints_compatible
us
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mt5-base-finetuned-wikilingua-ar
This model is a fine-tuned version of
google/mt5-base
on the wiki_lingua dataset. It achieves the following results on the evaluation set:
Loss: 3.4936
Rouge-1: 20.79
Rouge-2: 7.6
Rouge-l: 18.81
Gen Len: 18.73
Bertscore: 70.87
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: 8
label_smoothing_factor: 0.1
Training results
Framework versions
Transformers 4.19.3
Pytorch 1.11.0+cu113
Datasets 2.2.2
Tokenizers 0.12.1
