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Feriji_model
Mamadou2727/Feriji_model
Feriji_model is a translation model from Mamadou2727. Use it when you need text moved from one language to another. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
607
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484M
7.7 GB on disk
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1
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At a glance
- Task
- Translation
- Library
- transformers
- License
- mit
- Model type
- m2m_100
- Access
- Public
- Created
- Dec 1, 2023
- Updated
- Dec 2, 2023
- SHA
- 2557e60a
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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. -->
m2m100_418M-fr
This model is a fine-tuned version of facebook/m2m100_418M on the None dataset. It achieves the following results on the evaluation set:
- Loss: 1.1488
- Bleu: 30.0608
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
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu |
|---|---|---|---|---|
| 1.5114 | 1.0 | 14862 | 1.3923 | 24.3656 |
| 1.2359 | 2.0 | 29724 | 1.2308 | 27.5691 |
| 1.019 | 3.0 | 44586 | 1.1603 | 29.4766 |
| 0.8197 | 4.0 | 59448 | 1.1488 | 30.0608 |
Framework versions
- Transformers 4.35.0
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.14.1
- Task
- Translation
- Library
- transformers
- Type
- m2m_100
- License
- mit
- Created
- Dec 1, 2023
- Updated
- Dec 2, 2023