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mt5-small
rebego/mt5-small
mt5-small is a translation model from rebego. 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
- mt5
- Access
- Public
- Created
- Mar 17, 2025
- Updated
- Mar 18, 2025
- SHA
- 055cb4c8
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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-small
This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 13.1971
- Bleu: 0.0279
- Gen Len: 3.0
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: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- 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
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|---|---|---|---|---|---|
| No log | 1.0 | 10 | 17.3800 | 0.0254 | 2.95 |
| No log | 2.0 | 20 | 14.8955 | 0.0309 | 3.0 |
| No log | 3.0 | 30 | 13.6927 | 0.0274 | 2.9 |
| No log | 4.0 | 40 | 13.1837 | 0.0279 | 3.0 |
| No log | 5.0 | 50 | 13.1971 | 0.0279 | 3.0 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Translation
- Library
- transformers
- Type
- mt5
- Created
- Mar 17, 2025
- Updated
- Mar 18, 2025