| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| base_model: google/pegasus-multi_news | |
| model-index: | |
| - name: pegasus-multi_news-malay_headlines_02 | |
| 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-multi_news-malay_headlines_02 | |
| This model is a fine-tuned version of [google/pegasus-multi_news](https://huggingface.co/google/pegasus-multi_news) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.9295 | |
| - Rouge1: 39.9859 | |
| - Rouge2: 20.1943 | |
| - Rougel: 36.1927 | |
| - Rougelsum: 36.2105 | |
| - Gen Len: 35.6062 | |
| ## 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: 1 | |
| - eval_batch_size: 1 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 1 | |
| - mixed_precision_training: Native AMP | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:-----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 2.0943 | 1.0 | 53582 | 1.9295 | 39.9859 | 20.1943 | 36.1927 | 36.2105 | 35.6062 | | |
| ### Framework versions | |
| - Transformers 4.12.3 | |
| - Pytorch 1.10.0+cu111 | |
| - Datasets 1.15.1 | |
| - Tokenizers 0.10.3 | |