| --- |
| license: apache-2.0 |
| base_model: facebook/bart-base |
| tags: |
| - generated_from_trainer |
| metrics: |
| - rouge |
| model-index: |
| - name: wiki_asp-software_5406_bart-base |
| 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. --> |
|
|
| # wiki_asp-software_5406_bart-base |
| |
| This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on an unknown dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 3.0105 |
| - Rouge1: 0.1448 |
| - Rouge2: 0.0489 |
| - Rougel: 0.1205 |
| - Rougelsum: 0.1207 |
| - Gen Len: 19.8626 |
| |
| ## 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: 5e-05 |
| - train_batch_size: 4 |
| - eval_batch_size: 4 |
| - seed: 42 |
| - gradient_accumulation_steps: 16 |
| - total_train_batch_size: 64 |
| - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| - lr_scheduler_type: linear |
| - lr_scheduler_warmup_steps: 500 |
| - num_epochs: 10 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | Rouge1 | Rouge2 | Rougel | Rougelsum | Gen Len | |
| |:-------------:|:-----:|:----:|:---------------:|:------:|:------:|:------:|:---------:|:-------:| |
| | No log | 2.37 | 500 | 3.1540 | 0.1377 | 0.0441 | 0.1151 | 0.1153 | 19.8858 | |
| | No log | 4.74 | 1000 | 3.0456 | 0.1408 | 0.0463 | 0.117 | 0.1172 | 19.7587 | |
| | No log | 7.1 | 1500 | 3.0225 | 0.1428 | 0.0472 | 0.1183 | 0.1183 | 19.9145 | |
| | 3.2197 | 9.47 | 2000 | 3.0105 | 0.1448 | 0.0489 | 0.1205 | 0.1207 | 19.8626 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.38.2 |
| - Pytorch 2.0.0+cu117 |
| - Datasets 2.18.0 |
| - Tokenizers 0.15.2 |
| |
