| | --- |
| | license: mit |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: bart-pt-asqa-cb |
| | 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-pt-asqa-cb |
| |
|
| | This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.5362 |
| | - Rougelsum: 38.9467 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 20 |
| | - mixed_precision_training: Native AMP |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | Rougelsum | |
| | |:-------------:|:-----:|:----:|:---------------:|:---------:| |
| | | No log | 1.0 | 273 | 2.5653 | 37.6939 | |
| | | 2.6009 | 2.0 | 546 | 2.5295 | 38.2398 | |
| | | 2.6009 | 3.0 | 819 | 2.5315 | 38.5946 | |
| | | 2.3852 | 4.0 | 1092 | 2.5146 | 38.4771 | |
| | | 2.3852 | 5.0 | 1365 | 2.5240 | 38.5706 | |
| | | 2.2644 | 6.0 | 1638 | 2.5253 | 38.7506 | |
| | | 2.2644 | 7.0 | 1911 | 2.5355 | 38.9004 | |
| | | 2.1703 | 8.0 | 2184 | 2.5309 | 38.9528 | |
| | | 2.1703 | 9.0 | 2457 | 2.5362 | 38.9467 | |
| |
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| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.23.0.dev0 |
| | - Pytorch 1.12.1+cu102 |
| | - Datasets 2.4.0 |
| | - Tokenizers 0.12.1 |
| |
|
