| license: apache-2.0 | |
| base_model: t5-small | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: T5_on_pubmed | |
| results: [] | |
| <!-- This model card has been generated automatically according to the information the Trainer had access to. You | |
| should probably proofread and complete it, then remove this comment. --> | |
| # T5_on_pubmed | |
| This model is a fine-tuned version of [t5-small](https://huggingface.co/t5-small) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.1788 | |
| - Rouge1: 0.1346 | |
| - Rouge2: 0.0564 | |
| - Rougel: 0.1145 | |
| - Rougelsum: 0.1146 | |
| - Gen Len: 19.0 | |
| ## 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: 5 | |
| - eval_batch_size: 5 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 4 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| | |
| | No log | 1.0 | 200 | 2.1954 | 0.1365 | 0.0565 | 0.1151 | 0.1151 | 19.0 | | |
| | No log | 2.0 | 400 | 2.1878 | 0.1353 | 0.0561 | 0.1142 | 0.1144 | 19.0 | | |
| | 2.4795 | 3.0 | 600 | 2.1798 | 0.1349 | 0.0564 | 0.1145 | 0.1146 | 19.0 | | |
| | 2.4795 | 4.0 | 800 | 2.1788 | 0.1346 | 0.0564 | 0.1145 | 0.1146 | 19.0 | | |
| ### Framework versions | |
| - Transformers 4.31.0 | |
| - Pytorch 2.0.1+cu118 | |
| - Datasets 2.14.4 | |
| - Tokenizers 0.13.3 | |