--- license: apache-2.0 base_model: t5-small tags: - summarization - generated_from_trainer metrics: - rouge model-index: - name: t5-small-finetuned-cnn-news results: [] --- # t5-small-finetuned-cnn-news This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on an unknown dataset. It achieves the following results on the evaluation set: - Loss: 1.8421 - Rouge1: 24.3896 - Rouge2: 12.1278 - Rougel: 20.4284 - Rougelsum: 23.1568 ## 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: 0.00056 - 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 | |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | 2.0267 | 1.0 | 718 | 1.8134 | 24.5126 | 12.0487 | 20.3865 | 23.2129 | | 1.8289 | 2.0 | 1436 | 1.8150 | 24.4837 | 12.142 | 20.5671 | 23.3283 | | 1.6833 | 3.0 | 2154 | 1.8148 | 23.9291 | 11.7959 | 20.0136 | 22.7257 | | 1.576 | 4.0 | 2872 | 1.8271 | 24.2228 | 11.8815 | 20.2007 | 22.9745 | | 1.4965 | 5.0 | 3590 | 1.8421 | 24.3896 | 12.1278 | 20.4284 | 23.1568 | ### Framework versions - Transformers 4.42.4 - Pytorch 2.3.1+cu121 - Datasets 2.20.0 - Tokenizers 0.19.1