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mt5-bambara-resumer-boost1
Fatoumataa/mt5-bambara-resumer-boost1
mt5-bambara-resumer-boost1 is a machine learning model from Fatoumataa. 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
- mt5
- Access
- Public
- Created
- Feb 23, 2026
- Updated
- Feb 24, 2026
- SHA
- 1bb7b93e
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-bambara-resumer-boost1
This model is a fine-tuned version of Fatoumataa/mt5-bambara-resumer-final on the None dataset. It achieves the following results on the evaluation set:
- Loss: 2.4747
- Rouge1: 0.5265
- Rouge2: 0.2725
- Rougel: 0.3724
- Rougelsum: 0.3723
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 16
- total_train_batch_size: 32
- 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
- lr_scheduler_warmup_steps: 50
- num_epochs: 8
- label_smoothing_factor: 0.05
Training results
| Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum |
|---|---|---|---|---|---|---|---|
| 44.6779 | 1.0 | 564 | 2.5577 | 0.5194 | 0.2639 | 0.3621 | 0.3621 |
| 44.1834 | 2.0 | 1128 | 2.5343 | 0.5229 | 0.2675 | 0.3667 | 0.3666 |
| 43.8472 | 3.0 | 1692 | 2.5124 | 0.524 | 0.2695 | 0.3689 | 0.3688 |
| 43.0695 | 4.0 | 2256 | 2.4924 | 0.5232 | 0.2701 | 0.37 | 0.3698 |
| 43.0494 | 5.0 | 2820 | 2.4903 | 0.5249 | 0.2709 | 0.3713 | 0.3712 |
| 42.8678 | 6.0 | 3384 | 2.4828 | 0.5279 | 0.2721 | 0.3723 | 0.372 |
| 42.8899 | 7.0 | 3948 | 2.4752 | 0.5265 | 0.2721 | 0.3719 | 0.3718 |
| 42.9689 | 8.0 | 4512 | 2.4747 | 0.5265 | 0.2725 | 0.3724 | 0.3723 |
Framework versions
- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2
- Library
- transformers
- Type
- mt5
- License
- apache-2.0
- Created
- Feb 23, 2026
- Updated
- Feb 24, 2026