| license: apache-2.0 | |
| base_model: sshleifer/distilbart-xsum-12-3 | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: results | |
| 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. --> | |
| # results | |
| This model is a fine-tuned version of [sshleifer/distilbart-xsum-12-3](https://huggingface.co/sshleifer/distilbart-xsum-12-3) on an unknown dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.6835 | |
| - Rouge1: 38.8257 | |
| - Rouge2: 10.9645 | |
| - Rougel: 19.5312 | |
| - Rougelsum: 33.4613 | |
| - Gen Len: 275.0 | |
| ## 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: 0.00034 | |
| - train_batch_size: 8 | |
| - eval_batch_size: 8 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - lr_scheduler_warmup_steps: 500 | |
| - num_epochs: 3 | |
| - label_smoothing_factor: 0.04 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|:-------:| | |
| | 3.2378 | 1.0 | 500 | 3.1436 | 25.8277 | 5.2374 | 13.1124 | 24.06 | 299.0 | | |
| | 2.804 | 2.0 | 1000 | 2.7802 | 32.9123 | 6.3884 | 16.0251 | 29.3143 | 241.0 | | |
| | 2.5568 | 3.0 | 1500 | 2.6835 | 38.8257 | 10.9645 | 19.5312 | 33.4613 | 275.0 | | |
| ### Framework versions | |
| - Transformers 4.39.3 | |
| - Pytorch 2.1.2 | |
| - Datasets 2.18.0 | |
| - Tokenizers 0.15.2 | |