| license: apache-2.0 | |
| tags: | |
| - generated_from_trainer | |
| datasets: | |
| - samsum | |
| metrics: | |
| - rouge | |
| base_model: google/switch-base-8 | |
| model-index: | |
| - name: switch-base-8-finetuned-samsum | |
| results: | |
| - task: | |
| type: text2text-generation | |
| name: Sequence-to-sequence Language Modeling | |
| dataset: | |
| name: samsum | |
| type: samsum | |
| config: samsum | |
| split: train | |
| args: samsum | |
| metrics: | |
| - type: rouge | |
| value: 46.5651 | |
| name: Rouge1 | |
| <!-- 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. --> | |
| # switch-base-8-finetuned-samsum | |
| This model is a fine-tuned version of [google/switch-base-8](https://huggingface.co/google/switch-base-8) on the samsum dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.4606 | |
| - Rouge1: 46.5651 | |
| - Rouge2: 23.2378 | |
| - Rougel: 39.4484 | |
| - Rougelsum: 43.1011 | |
| - Gen Len: 17.0183 | |
| ## 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: 4 | |
| - eval_batch_size: 4 | |
| - 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 | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 1.8829 | 1.0 | 3683 | 1.5154 | 46.3805 | 23.0982 | 39.0612 | 43.0142 | 17.6296 | | |
| | 1.6207 | 2.0 | 7366 | 1.4578 | 47.7434 | 24.9471 | 40.6481 | 44.351 | 17.2066 | | |
| | 1.442 | 3.0 | 11049 | 1.4360 | 47.6903 | 24.9954 | 40.713 | 44.3487 | 17.0501 | | |
| | 1.3103 | 4.0 | 14732 | 1.4396 | 48.4517 | 25.7725 | 41.5212 | 45.1211 | 16.9071 | | |
| | 1.2393 | 5.0 | 18415 | 1.4445 | 48.4002 | 25.8727 | 41.5361 | 45.0467 | 16.9804 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.1+cu116 | |
| - Datasets 2.8.0 | |
| - Tokenizers 0.13.2 | |