--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: touring results: [] --- # touring 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: 1.3199 - Rouge1: 42.1053 - Rouge2: 0.0 - Rougel: 42.1053 - Rougelsum: 42.1053 - Gen Len: 5.8947 ## 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: 5e-05 - train_batch_size: 8 - eval_batch_size: 8 - 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 | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | No log | 1.0 | 49 | 1.5630 | 35.2632 | 0.0 | 35.2632 | 35.2632 | 5.7474 | | No log | 2.0 | 98 | 1.3838 | 41.5789 | 0.0 | 41.5789 | 41.5789 | 5.9316 | | No log | 3.0 | 147 | 1.3419 | 41.0526 | 0.0 | 41.0526 | 41.0526 | 5.8684 | | No log | 4.0 | 196 | 1.3239 | 41.5789 | 0.0 | 41.5789 | 41.5789 | 5.8526 | | No log | 5.0 | 245 | 1.3199 | 42.1053 | 0.0 | 42.1053 | 42.1053 | 5.8947 | ### Framework versions - Transformers 4.26.1 - Pytorch 1.13.1+cu116 - Tokenizers 0.13.2