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---
license: apache-2.0
base_model: google/flan-t5-small
tags:
- generated_from_trainer
metrics:
- bleu
model-index:
- name: flan-t5-small-translator
results: []
widget:
- text: 'translate English to French: All creative skill levels are welcome.'
example_title: Translation
datasets:
- opus_books
---
<!-- 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. -->
# flan-t5-small-translator
This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on [opus_books/en-fr](https://huggingface.co/datasets/opus_books/viewer/en-fr) dataset.
It achieves the following results on the evaluation set:
- Loss: nan
- Bleu: 1.078
- Gen Len: 18.0374
## Sample Request
Try this sentence - `translate English to French: what is love?`
You should get response like - `Qu'est-ce que l'amour?`
> Ensure that you are prepending `translate English to French: ` for all translations
## Intended uses & limitations
> This model has been trained only on en-fr subset of OPUS dataset.
## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len |
|:-------------:|:-----:|:-----:|:---------------:|:-----:|:-------:|
| 0.0 | 1.0 | 6355 | nan | 1.078 | 18.0374 |
| 0.0 | 2.0 | 12710 | nan | 1.078 | 18.0374 |
### Framework versions
- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0 |