| | --- |
| | license: apache-2.0 |
| | base_model: facebook/bart-base |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - learn3r/squad_with_test |
| | model-index: |
| | - name: bart_base_qgen |
| | 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_base_qgen |
| |
|
| | This model is a fine-tuned version of [facebook/bart-base](https://huggingface.co/facebook/bart-base) on the learn3r/squad_with_test dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 1.4211 |
| |
|
| | ## 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: 32 |
| | - eval_batch_size: 32 |
| | - seed: 42 |
| | - gradient_accumulation_steps: 16 |
| | - total_train_batch_size: 512 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 10.0 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 1.7237 | 1.0 | 171 | 1.5064 | |
| | | 1.5995 | 2.0 | 342 | 1.4698 | |
| | | 1.5289 | 3.0 | 513 | 1.4482 | |
| | | 1.5082 | 4.0 | 684 | 1.4363 | |
| | | 1.4782 | 5.0 | 855 | 1.4286 | |
| | | 1.4084 | 6.0 | 1026 | 1.4265 | |
| | | 1.4229 | 6.99 | 1197 | 1.4239 | |
| | | 1.4 | 8.0 | 1369 | 1.4211 | |
| | | 1.3865 | 9.0 | 1540 | 1.4215 | |
| | | 1.3871 | 9.99 | 1710 | 1.4219 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.32.0.dev0 |
| | - Pytorch 1.13.0+cu117 |
| | - Datasets 2.8.0 |
| | - Tokenizers 0.12.1 |
| | |
