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AraBART-finetuned-xlsum
Abrar01/AraBART-finetuned-xlsum
AraBART-finetuned-xlsum is a machine learning model from Abrar01. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Aug 24, 2024
- Updated
- Aug 24, 2024
- SHA
- 4c6e3958
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
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
- Type
- mbart
- License
- apache-2.0
- Created
- Aug 24, 2024
- Updated
- Aug 24, 2024