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AlQalam-finetuned-mmj-withXlsumValid
Grinta-king/AlQalam-finetuned-mmj-withXlsumValid
AlQalam-finetuned-mmj-withXlsumValid is a machine learning model from Grinta-king. 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.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Library
- transformers
- Model type
- t5
- Access
- Public
- Created
- Jul 6, 2023
- Updated
- Jul 6, 2023
- SHA
- 63cf5f36
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. -->
AlQalam-finetuned-mmj-withXlsumValid
This model is a fine-tuned version of malmarjeh/t5-arabic-text-summarization on the None dataset. It achieves the following results on the evaluation set:
- Loss: 3.9824
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: 24
- eval_batch_size: 24
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 1.4795 | 1.0 | 3171 | 4.1343 |
| 1.3288 | 2.0 | 6342 | 4.0455 |
| 1.219 | 3.0 | 9513 | 3.9557 |
| 1.1531 | 4.0 | 12684 | 3.9824 |
Framework versions
- Transformers 4.30.2
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3
- Library
- transformers
- Type
- t5
- Created
- Jul 6, 2023
- Updated
- Jul 6, 2023