| | --- |
| | license: apache-2.0 |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: PSST_spell_correction_V3 |
| | 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. --> |
| |
|
| | # PSST_spell_correction_V3 |
| | |
| | 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: 0.5390 |
| | |
| | ## 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: 1e-05 |
| | - 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: 30 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:-----:|:---------------:| |
| | | 0.3418 | 1.0 | 3099 | 0.3206 | |
| | | 0.2821 | 2.0 | 6198 | 0.3216 | |
| | | 0.2467 | 3.0 | 9297 | 0.3501 | |
| | | 0.2301 | 4.0 | 12396 | 0.3747 | |
| | | 0.2152 | 5.0 | 15495 | 0.3614 | |
| | | 0.2071 | 6.0 | 18594 | 0.3836 | |
| | | 0.2002 | 7.0 | 21693 | 0.3923 | |
| | | 0.1964 | 8.0 | 24792 | 0.4053 | |
| | | 0.1953 | 9.0 | 27891 | 0.4154 | |
| | | 0.1935 | 10.0 | 30990 | 0.4269 | |
| | | 0.1918 | 11.0 | 34089 | 0.4381 | |
| | | 0.1889 | 12.0 | 37188 | 0.4623 | |
| | | 0.1886 | 13.0 | 40287 | 0.4586 | |
| | | 0.1869 | 14.0 | 43386 | 0.4838 | |
| | | 0.1867 | 15.0 | 46485 | 0.4984 | |
| | | 0.1857 | 16.0 | 49584 | 0.4623 | |
| | | 0.1843 | 17.0 | 52683 | 0.5020 | |
| | | 0.1834 | 18.0 | 55782 | 0.5129 | |
| | | 0.1832 | 19.0 | 58881 | 0.4972 | |
| | | 0.1835 | 20.0 | 61980 | 0.4895 | |
| | | 0.1822 | 21.0 | 65079 | 0.4992 | |
| | | 0.1834 | 22.0 | 68178 | 0.5291 | |
| | | 0.1816 | 23.0 | 71277 | 0.5351 | |
| | | 0.1802 | 24.0 | 74376 | 0.5294 | |
| | | 0.1796 | 25.0 | 77475 | 0.5443 | |
| | | 0.1814 | 26.0 | 80574 | 0.5368 | |
| | | 0.1804 | 27.0 | 83673 | 0.5375 | |
| | | 0.1811 | 28.0 | 86772 | 0.5435 | |
| | | 0.1811 | 29.0 | 89871 | 0.5391 | |
| | | 0.1802 | 30.0 | 92970 | 0.5390 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.28.0 |
| | - Pytorch 1.12.1+cu102 |
| | - Datasets 2.13.1 |
| | - Tokenizers 0.13.3 |
| | |
