--- license: apache-2.0 tags: - generated_from_trainer metrics: - rouge model-index: - name: flan-t5-base-par3-075sim-shuffled results: [] --- # flan-t5-base-par3-075sim-shuffled 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: 1.3693 - Rouge1: 53.5765 - Rouge2: 34.6724 - Rougel: 50.4148 - Rougelsum: 50.8647 - Gen Len: 16.6961 ## 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: 3 ### Training results | Training Loss | Epoch | Step | Gen Len | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | |:-------------:|:-----:|:-----:|:-------:|:---------------:|:-------:|:-------:|:-------:|:---------:| | 1.5506 | 1.0 | 5033 | 16.7189 | 1.4021 | 53.3112 | 34.3583 | 50.0466 | 50.5797 | | 1.4764 | 2.0 | 10066 | 1.3751 | 53.522 | 34.5861 | 50.3606 | 50.8109 | 16.6965 | | 1.4411 | 3.0 | 15099 | 1.3693 | 53.5765 | 34.6724 | 50.4148 | 50.8647 | 16.6961 | ### Framework versions - Transformers 4.28.1 - Pytorch 2.0.0+cu117 - Datasets 2.12.0 - Tokenizers 0.13.3