| license: bsd-3-clause | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: first_tldr | |
| 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. --> | |
| # first_tldr | |
| 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 an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.4427 | |
| - Rouge1: 0.3859 | |
| - Rouge2: 0.1307 | |
| - Rougel: 0.2443 | |
| ## 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: 0.0005 | |
| - train_batch_size: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - gradient_accumulation_steps: 128 | |
| - total_train_batch_size: 128 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: cosine | |
| - num_epochs: 2 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:| | |
| | No log | 0.98 | 47 | 1.4361 | 0.3848 | 0.1323 | 0.2419 | | |
| | No log | 1.97 | 94 | 1.4427 | 0.3859 | 0.1307 | 0.2443 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 1.12.1+cu116 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |