--- library_name: transformers tags: - generated_from_trainer metrics: - bleu model-index: - name: t5-base-en-fr results: [] --- # t5-base-en-fr This model was trained from scratch on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.1684 - Bleu: 8.8501 - Gen Len: 18.2386 ## 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: 2e-05 - train_batch_size: 16 - eval_batch_size: 16 - 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: 3 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | Bleu | Gen Len | |:-------------:|:-----:|:-----:|:---------------:|:------:|:-------:| | 1.3547 | 1.0 | 6355 | 1.1889 | 8.6901 | 18.2363 | | 1.3239 | 2.0 | 12710 | 1.1725 | 8.7909 | 18.2379 | | 1.2879 | 3.0 | 19065 | 1.1684 | 8.8501 | 18.2386 | ### Framework versions - Transformers 4.48.3 - Pytorch 2.6.0+cu124 - Datasets 3.4.1 - Tokenizers 0.21.1