| license: apache-2.0 | |
| base_model: facebook/bart-large | |
| tags: | |
| - generated_from_trainer | |
| metrics: | |
| - rouge | |
| model-index: | |
| - name: Big-Bart-BBC | |
| 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. --> | |
| # Big-Bart-BBC | |
| This model is a fine-tuned version of [facebook/bart-large](https://huggingface.co./facebook/bart-large) on the None dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 2.4008 | |
| - Rouge1: 0.2384 | |
| - Rouge2: 0.1145 | |
| - Rougel: 0.2066 | |
| - Rougelsum: 0.2073 | |
| ## 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: 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: 1 | |
| ### Training results | |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:| | |
| | 3.0314 | 1.0 | 1652 | 2.4008 | 0.2384 | 0.1145 | 0.2066 | 0.2073 | | |
| ### Framework versions | |
| - Transformers 4.36.2 | |
| - Pytorch 2.1.0+cu121 | |
| - Datasets 2.16.0 | |
| - Tokenizers 0.15.0 | |