--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: sungyooon/t5-small-finetuned-xsum results: [] --- # sungyooon/t5-small-finetuned-xsum This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Train Loss: 2.9968 - Validation Loss: 2.6812 - Train Rouge1: 14.9106 - Train Rouge2: 4.8392 - Train Rougel: 11.3900 - Train Rougelsum: 13.1661 - Train Gen Len: 18.9968 - 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 Rouge1 | Train Rouge2 | Train Rougel | Train Rougelsum | Train Gen Len | Epoch | |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| | 2.9968 | 2.6812 | 14.9106 | 4.8392 | 11.3900 | 13.1661 | 18.9968 | 0 | ### Framework versions - Transformers 4.29.2 - TensorFlow 2.12.0 - Datasets 2.12.0 - Tokenizers 0.13.3