--- 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: 0.2242 - Rouge1: 0.2012 - Rouge2: 0.1143 - Rougel: 0.1704 - Rougelsum: 0.1885 ## 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 - training_steps: 200 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | No log | 1.0 | 17 | 5.3687 | 0.1823 | 0.0899 | 0.1478 | 0.1616 | | No log | 2.0 | 34 | 3.0748 | 0.1903 | 0.0931 | 0.1539 | 0.1741 | | No log | 3.0 | 51 | 1.5007 | 0.1654 | 0.0620 | 0.1273 | 0.1507 | | No log | 4.0 | 68 | 0.5415 | 0.1570 | 0.0597 | 0.1153 | 0.1389 | | No log | 5.0 | 85 | 0.3232 | 0.1538 | 0.0702 | 0.1152 | 0.1377 | | No log | 6.0 | 102 | 0.2662 | 0.1668 | 0.0704 | 0.1298 | 0.1467 | | No log | 7.0 | 119 | 0.2379 | 0.1667 | 0.0684 | 0.1283 | 0.1475 | | No log | 8.0 | 136 | 0.2296 | 0.1865 | 0.0911 | 0.1498 | 0.1720 | | No log | 9.0 | 153 | 0.2266 | 0.2040 | 0.1084 | 0.1662 | 0.1860 | | No log | 10.0 | 170 | 0.2238 | 0.2031 | 0.1136 | 0.1689 | 0.1877 | | No log | 11.0 | 187 | 0.2239 | 0.2012 | 0.1148 | 0.1704 | 0.1885 | | No log | 11.76 | 200 | 0.2242 | 0.2012 | 0.1143 | 0.1704 | 0.1885 | ### Framework versions - Transformers 4.33.1 - Pytorch 2.0.1+cu118 - Datasets 2.14.5 - Tokenizers 0.13.3