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---
library_name: transformers
tags:
- translation
- generated_from_trainer
metrics:
- bleu
model-index:
- name: mt5-small
results: []
---
<!-- 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
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