--- base_model: razent/SciFive-base-Pubmed_PMC tags: - generated_from_trainer metrics: - rouge model-index: - name: scifive_seven_epoch results: [] --- # scifive_seven_epoch This model is a fine-tuned version of [razent/SciFive-base-Pubmed_PMC](https://huggingface.co/razent/SciFive-base-Pubmed_PMC) on the None dataset. It achieves the following results on the evaluation set: - Loss: 1.8379 - Rouge1: 0.3666 - Rouge2: 0.2139 - Rougel: 0.307 - Rougelsum: 0.3084 - Gen Len: 17.53 ## 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: 2e-05 - train_batch_size: 4 - eval_batch_size: 2 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 7 ### Training results | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | No log | 1.0 | 275 | 2.2065 | 0.2714 | 0.1462 | 0.2336 | 0.2327 | 17.09 | | 2.4022 | 2.0 | 550 | 1.9771 | 0.339 | 0.1958 | 0.2907 | 0.2911 | 17.76 | | 2.4022 | 3.0 | 825 | 1.9156 | 0.3652 | 0.2128 | 0.3035 | 0.3046 | 17.73 | | 1.8204 | 4.0 | 1100 | 1.8698 | 0.37 | 0.2197 | 0.3103 | 0.3102 | 17.37 | | 1.8204 | 5.0 | 1375 | 1.8525 | 0.3638 | 0.2103 | 0.3042 | 0.3049 | 17.65 | | 1.694 | 6.0 | 1650 | 1.8384 | 0.3713 | 0.2175 | 0.3104 | 0.3113 | 17.55 | | 1.694 | 7.0 | 1925 | 1.8379 | 0.3666 | 0.2139 | 0.307 | 0.3084 | 17.53 | ### Framework versions - Transformers 4.35.2 - Pytorch 2.1.0+cu121 - Datasets 2.16.1 - Tokenizers 0.15.1