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mT5_multilingual_XLSum-finetuned-wiki-lingua
bassemessam/mT5_multilingual_XLSum-finetuned-wiki-lingua
mT5_multilingual_XLSum-finetuned-wiki-lingua is a machine learning model from bassemessam. 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
- mt5
- Access
- Public
- Created
- May 11, 2024
- Updated
- May 12, 2024
- SHA
- 62350dee
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. -->
mT5_multilingual_XLSum-finetuned-wiki-lingua
This model is a fine-tuned version of csebuetnlp/mT5_multilingual_XLSum on the None dataset.
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: 2e-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: 1
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len |
|---|---|---|---|---|---|---|---|---|
| No log | 1.0 | 160 | 3.6384 | 11.8921 | 3.1437 | 9.029 | 10.7853 | 28.4615 |
Framework versions
- Transformers 4.40.2
- Pytorch 2.2.1+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
- Library
- transformers
- Type
- mt5
- Created
- May 11, 2024
- Updated
- May 12, 2024