| | --- |
| | license: apache-2.0 |
| | base_model: facebook/bart-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - learn3r/summ_screen_fd_bp |
| | model-index: |
| | - name: summ_screen_fd_blueprint_epoch_10 |
| | 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. --> |
| |
|
| | # summ_screen_fd_blueprint_epoch_10 |
| | |
| | This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/summ_screen_fd_bp dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.0208 |
| |
|
| | ## 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: 0.0001 |
| | - train_batch_size: 8 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 32 |
| | - total_train_batch_size: 256 |
| | - optimizer: Adam with betas=(0.9,0.98) and epsilon=1e-06 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 3.382 | 0.97 | 14 | 2.3120 | |
| | | 2.5354 | 1.95 | 28 | 2.1625 | |
| | | 2.2504 | 2.99 | 43 | 2.1031 | |
| | | 2.1809 | 3.97 | 57 | 2.0733 | |
| | | 2.0889 | 4.94 | 71 | 2.0513 | |
| | | 2.0586 | 5.98 | 86 | 2.0359 | |
| | | 2.0117 | 6.96 | 100 | 2.0325 | |
| | | 1.9849 | 8.0 | 115 | 2.0254 | |
| | | 1.9803 | 8.97 | 129 | 2.0218 | |
| | | 1.9584 | 9.74 | 140 | 2.0208 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.32.0.dev0 |
| | - Pytorch 2.0.1+cu117 |
| | - Datasets 2.14.4 |
| | - Tokenizers 0.13.3 |
| | |
