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mbart-en-to-ne-translator
rohithugp/mbart-en-to-ne-translator
mbart-en-to-ne-translator is a translation model from rohithugp. Use it when you need text moved from one language to another. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Translation
- Library
- transformers
- Model type
- mbart
- Access
- Public
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024
- SHA
- 45bd9deb
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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. -->
mbart-en-np-seqtoseq-sentence-translation
This model is a fine-tuned version of facebook/mbart-large-50-many-to-many-mmt on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.1896
- Bleu: 40.4595
- Gen Len: 10.288
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: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| 1.0147 | 1.0 | 1250 | 0.9876 | 40.1501 | 9.885 |
| 0.6038 | 2.0 | 2500 | 1.0122 | 40.728 | 10.113 |
| 0.3557 | 3.0 | 3750 | 1.0809 | 35.9297 | 10.844 |
| 0.2071 | 4.0 | 5000 | 1.1502 | 40.4318 | 10.28 |
| 0.1241 | 5.0 | 6250 | 1.1896 | 40.4595 | 10.288 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.4.0+cu121
- Datasets 2.21.0
- Tokenizers 0.19.1
- Task
- Translation
- Library
- transformers
- Type
- mbart
- Created
- Sep 3, 2024
- Updated
- Sep 3, 2024