| license: mit | |
| tags: | |
| - generated_from_trainer | |
| datasets: din0s/asqa | |
| model-index: | |
| - name: bart-pt-asqa-ob | |
| 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-ob | |
| This model is a fine-tuned version of [vblagoje/bart_lfqa](https://huggingface.co/vblagoje/bart_lfqa) on the [ASQA](https://huggingface.co/datasets/din0s/asqa) dataset. | |
| It achieves the following results on the evaluation set: | |
| - Loss: 1.6901 | |
| - Rougelsum: 20.7527 | |
| ## 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: 8 | |
| - 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 | 355 | 1.6295 | 17.7502 | | |
| | 1.6407 | 2.0 | 710 | 1.6144 | 18.5897 | | |
| | 1.4645 | 3.0 | 1065 | 1.6222 | 19.3778 | | |
| | 1.4645 | 4.0 | 1420 | 1.6522 | 19.6941 | | |
| | 1.3678 | 5.0 | 1775 | 1.6528 | 20.3110 | | |
| | 1.2671 | 6.0 | 2130 | 1.6879 | 20.6112 | | |
| | 1.2671 | 7.0 | 2485 | 1.6901 | 20.7527 | | |
| ### Framework versions | |
| - Transformers 4.23.0.dev0 | |
| - Pytorch 1.12.1+cu102 | |
| - Datasets 2.4.0 | |
| - Tokenizers 0.12.1 | |