| | --- |
| | tags: |
| | - generated_from_trainer |
| | model-index: |
| | - name: calculator_model_test |
| | 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. --> |
| |
|
| | # calculator_model_test |
| |
|
| | This model is a fine-tuned version of [](https://huggingface.co/) on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.2087 |
| |
|
| | ## 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: 0.001 |
| | - train_batch_size: 512 |
| | - eval_batch_size: 512 |
| | - seed: 42 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: linear |
| | - num_epochs: 40 |
| |
|
| | ### Training results |
| |
|
| | | Training Loss | Epoch | Step | Validation Loss | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.9918 | 1.0 | 6 | 2.3314 | |
| | | 2.1182 | 2.0 | 12 | 1.8298 | |
| | | 1.6911 | 3.0 | 18 | 1.4816 | |
| | | 1.3856 | 4.0 | 24 | 1.2456 | |
| | | 1.1721 | 5.0 | 30 | 1.1107 | |
| | | 1.0415 | 6.0 | 36 | 0.9727 | |
| | | 0.9122 | 7.0 | 42 | 0.8805 | |
| | | 0.8414 | 8.0 | 48 | 0.7747 | |
| | | 0.7661 | 9.0 | 54 | 0.7645 | |
| | | 0.7303 | 10.0 | 60 | 0.6846 | |
| | | 0.683 | 11.0 | 66 | 0.6398 | |
| | | 0.6329 | 12.0 | 72 | 0.6278 | |
| | | 0.6155 | 13.0 | 78 | 0.5686 | |
| | | 0.6154 | 14.0 | 84 | 0.5761 | |
| | | 0.5568 | 15.0 | 90 | 0.5522 | |
| | | 0.5444 | 16.0 | 96 | 0.5564 | |
| | | 0.56 | 17.0 | 102 | 0.5432 | |
| | | 0.5165 | 18.0 | 108 | 0.4867 | |
| | | 0.4824 | 19.0 | 114 | 0.4501 | |
| | | 0.4487 | 20.0 | 120 | 0.4368 | |
| | | 0.4322 | 21.0 | 126 | 0.4188 | |
| | | 0.4173 | 22.0 | 132 | 0.4008 | |
| | | 0.3965 | 23.0 | 138 | 0.3789 | |
| | | 0.3953 | 24.0 | 144 | 0.3752 | |
| | | 0.3627 | 25.0 | 150 | 0.3527 | |
| | | 0.3766 | 26.0 | 156 | 0.3516 | |
| | | 0.3505 | 27.0 | 162 | 0.3362 | |
| | | 0.3441 | 28.0 | 168 | 0.3086 | |
| | | 0.3264 | 29.0 | 174 | 0.3030 | |
| | | 0.3395 | 30.0 | 180 | 0.2783 | |
| | | 0.2908 | 31.0 | 186 | 0.2727 | |
| | | 0.2827 | 32.0 | 192 | 0.2742 | |
| | | 0.2857 | 33.0 | 198 | 0.2503 | |
| | | 0.2779 | 34.0 | 204 | 0.2421 | |
| | | 0.2543 | 35.0 | 210 | 0.2257 | |
| | | 0.2462 | 36.0 | 216 | 0.2232 | |
| | | 0.2421 | 37.0 | 222 | 0.2173 | |
| | | 0.2497 | 38.0 | 228 | 0.2130 | |
| | | 0.2561 | 39.0 | 234 | 0.2095 | |
| | | 0.2407 | 40.0 | 240 | 0.2087 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.38.2 |
| | - Pytorch 2.1.0+cu121 |
| | - Datasets 2.18.0 |
| | - Tokenizers 0.15.2 |
| |
|
