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AraBART-finetuned-xlsum – AI Model by Abrar01 | AlphaNeural AI
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Abrar01
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AraBART-finetuned-xlsum
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tensorboard
safetensors
mbart
generated_from_trainer
moussaKam/AraBART
finetune
apache-2.0
us
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AraBART-finetuned-xlsum
This model is a fine-tuned version of
moussaKam/AraBART
on an unknown dataset. It achieves the following results on the evaluation set:
eval_loss: 2.0904
eval_rouge1: 0.1176
eval_rouge2: 0.0
eval_rougeL: 0.1176
eval_rougeLsum: 0.1176
eval_runtime: 1.2306
eval_samples_per_second: 13.815
eval_steps_per_second: 2.438
epoch: 3.7473
step: 697
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: 5.6e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 8
Framework versions
Transformers 4.42.4
Pytorch 2.3.1+cu121
Tokenizers 0.19.1