flan-t5-small-translator
This model is a fine-tuned version of google/flan-t5-small on opus_books/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
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Model tree for nkthakur/flan-t5-small-translator
Base model
google/flan-t5-small