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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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Finetuned from

Dataset used to train nkthakur/flan-t5-small-translator