--- license: apache-2.0 base_model: google/flan-t5-small tags: - generated_from_keras_callback model-index: - name: arielogg/flan-t5-small-finetuned-en-to-fr results: [] --- # arielogg/flan-t5-small-finetuned-en-to-fr This model is a fine-tuned version of [google/flan-t5-small](https://huggingface.co/google/flan-t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 2.1483 - Validation Loss: 1.6708 - Train Bleu: 19.5880 - Train Gen Len: 30.5918 - Epoch: 0 ## 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: - optimizer: {'name': 'AdamWeightDecay', 'learning_rate': 2e-05, 'decay': 0.0, 'beta_1': 0.9, 'beta_2': 0.999, 'epsilon': 1e-07, 'amsgrad': False, 'weight_decay_rate': 0.01} - training_precision: float32 ### Training results | Train Loss | Validation Loss | Train Bleu | Train Gen Len | Epoch | |:----------:|:---------------:|:----------:|:-------------:|:-----:| | 2.1483 | 1.6708 | 19.5880 | 30.5918 | 0 | ### Framework versions - Transformers 4.35.2 - TensorFlow 2.15.0 - Datasets 2.16.1 - Tokenizers 0.15.0