--- license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: finetuned-t5-medical results: [] --- # finetuned-t5-medical This model is a fine-tuned version of [google/flan-t5-base](https://huggingface.co/google/flan-t5-base) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8686 - Rouge1: 0.1114 - Rouge2: 0.0304 - Rougel: 0.0872 - Rougelsum: 0.1020 ## 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: 0.0003 - train_batch_size: 5 - eval_batch_size: 5 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 5 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | No log | 1.0 | 85 | 2.0499 | 0.1186 | 0.0307 | 0.0940 | 0.1071 | | No log | 2.0 | 170 | 1.9463 | 0.1021 | 0.0251 | 0.0838 | 0.0926 | | No log | 3.0 | 255 | 1.8942 | 0.1158 | 0.0324 | 0.0934 | 0.1083 | | No log | 4.0 | 340 | 1.8706 | 0.1101 | 0.0279 | 0.0860 | 0.1017 | | No log | 5.0 | 425 | 1.8686 | 0.1114 | 0.0304 | 0.0872 | 0.1020 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu118 - Datasets 2.15.0 - Tokenizers 0.15.0