--- license: apache-2.0 base_model: google/flan-t5-base tags: - generated_from_trainer metrics: - rouge model-index: - name: results results: [] --- # results 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: 0.8601 - Rouge1: 0.2061 - Rouge2: 0.1141 - Rougel: 0.1781 - Rougelsum: 0.1947 ## 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: 8e-05 - train_batch_size: 8 - eval_batch_size: 4 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 10 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | No log | 1.0 | 17 | 1.0118 | 0.1983 | 0.1119 | 0.1688 | 0.1818 | | No log | 2.0 | 34 | 0.9766 | 0.2073 | 0.1290 | 0.1859 | 0.1993 | | No log | 3.0 | 51 | 0.9211 | 0.2097 | 0.1224 | 0.1853 | 0.1983 | | No log | 4.0 | 68 | 0.8961 | 0.2122 | 0.1165 | 0.1845 | 0.1991 | | No log | 5.0 | 85 | 0.8820 | 0.2107 | 0.1192 | 0.1850 | 0.2016 | | No log | 6.0 | 102 | 0.8734 | 0.2101 | 0.1173 | 0.1817 | 0.1999 | | No log | 7.0 | 119 | 0.8688 | 0.2056 | 0.1114 | 0.1785 | 0.1920 | | No log | 8.0 | 136 | 0.8639 | 0.2057 | 0.1135 | 0.1763 | 0.1931 | | No log | 9.0 | 153 | 0.8615 | 0.2084 | 0.1173 | 0.1799 | 0.1956 | | No log | 10.0 | 170 | 0.8601 | 0.2061 | 0.1141 | 0.1781 | 0.1947 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3