| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: summarizer_MediQA | |
| 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. --> | |
| # summarizer_MediQA | |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.9087 | |
| - Rouge1: 0.1757 | |
| - Rouge2: 0.0665 | |
| - Rougel: 0.1487 | |
| - Rougelsum: 0.1548 | |
| ## 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: 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 | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | |
| | No log | 1.0 | 56 | 1.9335 | 0.1799 | 0.0713 | 0.1555 | 0.1613 | | |
| | No log | 2.0 | 112 | 1.9155 | 0.1727 | 0.0672 | 0.1489 | 0.1535 | | |
| | No log | 3.0 | 168 | 1.9087 | 0.1757 | 0.0665 | 0.1487 | 0.1548 | | |
| ### Framework versions | |
| - Transformers 4.26.1 | |
| - Pytorch 1.13.1+cpu | |
| - Datasets 2.9.0 | |
| - Tokenizers 0.13.2 | |