| license: apache-2.0 | |
| tags: | |
| - summarization | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: argilla-news-model | |
| 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. --> | |
| # argilla-news-model | |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6567 | |
| - Rouge1: 52.1956 | |
| - Rouge2: 27.1191 | |
| - Rougel: 47.4447 | |
| - Rougelsum: 47.4865 | |
| ## 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: 5.6e-05 | |
| - train_batch_size: 6 | |
| - eval_batch_size: 6 | |
| - seed: 42 | |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 | |
| - lr_scheduler_type: linear | |
| - num_epochs: 3 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:| | |
| | 2.0471 | 1.0 | 1532 | 1.6910 | 50.7422 | 26.3198 | 46.3759 | 46.3969 | | |
| | 1.4617 | 2.0 | 3064 | 1.6369 | 52.3416 | 27.1892 | 47.7014 | 47.7618 | | |
| | 1.0947 | 3.0 | 4596 | 1.6567 | 52.1956 | 27.1191 | 47.4447 | 47.4865 | | |
| ### Framework versions | |
| - Transformers 4.29.1 | |
| - Pytorch 2.0.0+cu118 | |
| - Datasets 2.12.0 | |
| - Tokenizers 0.13.3 | |