| | --- |
| | license: apache-2.0 |
| | base_model: MeetK/bart_summarisation |
| | tags: |
| | - generated_from_trainer |
| | metrics: |
| | - rouge |
| | model-index: |
| | - name: bart_summarisation |
| | 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. --> |
| |
|
| | # bart_summarisation |
| | |
| | This model is a fine-tuned version of [MeetK/bart_summarisation](https://huggingface.co/MeetK/bart_summarisation) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.7168 |
| | - Rouge1: 0.3288 |
| | - Rouge2: 0.1335 |
| | - Rougel: 0.2493 |
| | - Rougelsum: 0.2495 |
| | - Gen Len: 61.398 |
| | |
| | ## 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: 16 |
| | - eval_batch_size: 1 |
| | - 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 | 313 | 1.6942 | 0.3296 | 0.1385 | 0.2507 | 0.2507 | 60.888 | |
| | | 1.4988 | 2.0 | 626 | 1.7168 | 0.3288 | 0.1335 | 0.2493 | 0.2495 | 61.398 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.35.2 |
| | - Pytorch 2.1.1+cpu |
| | - Datasets 2.15.0 |
| | - Tokenizers 0.15.0 |
| | |
