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arabart_wiki
hiba2/arabart_wiki
arabart_wiki is a machine learning model from hiba2. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. 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
- Library
- transformers
- License
- apache-2.0
- Model type
- mbart
- Access
- Public
- Created
- Mar 25, 2024
- Updated
- Mar 25, 2024
- SHA
- eceb51c0
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_wiki
This model is a fine-tuned version of moussaKam/AraBART on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Rouge1: 0.1109
- Rouge2: 0.009
- Rougel: 0.1109
- Rougelsum: 0.1105
- Gen Len: 19.9251
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: 0.0002
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 8
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 250
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| 0.0048 | 7.35 | 500 | 0.0001 | 0.1109 | 0.009 | 0.1109 | 0.1105 | 19.9251 |
Framework versions
- Transformers 4.40.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Library
- transformers
- Type
- mbart
- License
- apache-2.0
- Created
- Mar 25, 2024
- Updated
- Mar 25, 2024