| license: bsd-3-clause | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: long-t5-tglobal-base-16384-book-summary-finetuned-xsum | |
| 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. --> | |
| # long-t5-tglobal-base-16384-book-summary-finetuned-xsum | |
| This model is a fine-tuned version of [pszemraj/long-t5-tglobal-base-16384-book-summary](https://huggingface.co/pszemraj/long-t5-tglobal-base-16384-book-summary) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 3.7110 | |
| - Rouge1: 19.379 | |
| - Rouge2: 2.0125 | |
| - Rougel: 12.4318 | |
| - Rougelsum: 12.4432 | |
| - Gen Len: 72.3611 | |
| ## 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: 0.002 | |
| - train_batch_size: 3 | |
| - eval_batch_size: 3 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:------:|:-------:|:---------:|:-------:| | |
| | No log | 1.0 | 24 | 3.7825 | 18.6153 | 1.7298 | 12.0792 | 12.0714 | 82.3611 | | |
| | No log | 2.0 | 48 | 3.7110 | 19.379 | 2.0125 | 12.4318 | 12.4432 | 72.3611 | | |
| ### Framework versions | |
| - Transformers 4.25.1 | |
| - Pytorch 1.13.0+cu116 | |
| - Datasets 2.7.1 | |
| - Tokenizers 0.13.2 | |