| | --- |
| | license: cc-by-4.0 |
| | tags: |
| | - generated_from_trainer |
| | datasets: |
| | - subjqa |
| | model-index: |
| | - name: deberta-v3-base-squad2 |
| | 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. --> |
| |
|
| | # deberta-v3-base-squad2 |
| |
|
| | This model is a fine-tuned version of [deepset/deberta-v3-base-squad2](https://huggingface.co/deepset/deberta-v3-base-squad2) on the subjqa dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 2.2514 |
| |
|
| | ## 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-06 |
| | - train_batch_size: 16 |
| | - eval_batch_size: 16 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 18 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.8874 | 1.0 | 81 | 3.4517 | |
| | | 2.4367 | 2.0 | 162 | 3.0723 | |
| | | 2.1531 | 3.0 | 243 | 2.8363 | |
| | | 2.0393 | 4.0 | 324 | 2.6726 | |
| | | 1.9166 | 5.0 | 405 | 2.5791 | |
| | | 1.8508 | 6.0 | 486 | 2.4969 | |
| | | 1.8035 | 7.0 | 567 | 2.4384 | |
| | | 1.7348 | 8.0 | 648 | 2.3925 | |
| | | 1.6939 | 9.0 | 729 | 2.3677 | |
| | | 1.6754 | 10.0 | 810 | 2.3405 | |
| | | 1.6283 | 11.0 | 891 | 2.2984 | |
| | | 1.6159 | 12.0 | 972 | 2.2854 | |
| | | 1.5893 | 13.0 | 1053 | 2.2793 | |
| | | 1.5636 | 14.0 | 1134 | 2.2749 | |
| | | 1.5779 | 15.0 | 1215 | 2.2629 | |
| | | 1.567 | 16.0 | 1296 | 2.2563 | |
| | | 1.5401 | 17.0 | 1377 | 2.2508 | |
| | | 1.5494 | 18.0 | 1458 | 2.2514 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.26.1 |
| | - Pytorch 1.13.1+cu116 |
| | - Datasets 2.10.1 |
| | - Tokenizers 0.13.2 |
| |
|
