--- license: apache-2.0 base_model: google-t5/t5-small tags: - generated_from_trainer metrics: - rouge model-index: - name: t5_confidential_masking results: [] --- [Visualize in Weights & Biases](https://wandb.ai/ai_experment/huggingface/runs/ehmmmogr) # t5_confidential_masking This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 0.6940 - Rouge1: 74.7713 - Rouge2: 59.6864 - Rougel: 74.4126 - Rougelsum: 74.3867 - Gen Len: 17.5891 ## 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: 0.0005 - train_batch_size: 32 - eval_batch_size: 16 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: cosine - num_epochs: 25.0 ### Training results ### Framework versions - Transformers 4.43.0.dev0 - Pytorch 2.2.1 - Datasets 2.18.0 - Tokenizers 0.19.1