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AraBART-summ – AI Model by youssefnasri | AlphaNeural AI
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youssefnasri
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AraBART-summ
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transformers
tensorboard
safetensors
mbart
text2text-generation
generated_from_trainer
moussaKam/AraBART
finetune
apache-2.0
endpoints_compatible
us
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AraBART-summ
This model is a fine-tuned version of
moussaKam/AraBART
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 2.3422
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: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 1
Training results
Training Loss
Epoch
Step
Validation Loss
2.7797
1.0
9380
2.3422
Framework versions
Transformers 4.47.1
Pytorch 2.6.0+cu118
Datasets 3.2.0
Tokenizers 0.21.0
