--- license: apache-2.0 tags: - generated_from_keras_callback model-index: - name: vikram15/t5-small-finetuned-newsSummary results: [] --- # vikram15/t5-small-finetuned-newsSummary 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: 2.0476 - Validation Loss: 1.7854 - Train Rouge1: 47.4977 - Train Rouge2: 24.4278 - Train Rougel: 42.2516 - Train Rougelsum: 42.4756 - Train Gen Len: 16.305 - 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 | |:----------:|:---------------:|:------------:|:------------:|:------------:|:---------------:|:-------------:|:-----:| | 2.0476 | 1.7854 | 47.4977 | 24.4278 | 42.2516 | 42.4756 | 16.305 | 0 | ### Framework versions - Transformers 4.24.0 - TensorFlow 2.9.2 - Datasets 2.6.1 - Tokenizers 0.13.2