my_awesome_opus_books_model

This model is a fine-tuned version of t5-small on an unknown dataset. It achieves the following results on the evaluation set:

• Loss: 1.6087
• Bleu: 5.6503
• Gen Len: 17.561

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
1.8471	1.0	6355	1.6325	5.4857	17.565
1.8346	2.0	12710	1.6087	5.6503	17.561

Framework versions

• Transformers 4.36.2
• Pytorch 2.1.0+cu121
• Datasets 2.16.0
• Tokenizers 0.15.0