| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: pegasus_tweet_sum | |
| 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. --> | |
| # pegasus_tweet_sum | |
| This model is a fine-tuned version of [transformersbook/pegasus-samsum](https://huggingface.co/transformersbook/pegasus-samsum) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.3260 | |
| - Rouge1: 27.0091 | |
| - Rouge2: 9.1616 | |
| - Rougel: 19.9548 | |
| - Rougelsum: 23.608 | |
| - Gen Len: 50.6667 | |
| ## 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: 0.0002 | |
| - train_batch_size: 2 | |
| - eval_batch_size: 2 | |
| - 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 | 44 | 2.2587 | 26.8137 | 8.4052 | 18.7378 | 22.5031 | 48.25 | | |
| | No log | 2.0 | 88 | 2.3260 | 27.0091 | 9.1616 | 19.9548 | 23.608 | 50.6667 | | |
| ### Framework versions | |
| - Transformers 4.28.0 | |
| - Pytorch 2.0.0+cu118 | |
| - Tokenizers 0.13.3 | |