| --- |
| library_name: transformers |
| 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: 0.2387 |
|
|
| ## 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: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments |
| - lr_scheduler_type: linear |
| - num_epochs: 40 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.0501 | 1.0 | 6 | 2.2966 | |
| | 2.0486 | 2.0 | 12 | 1.7533 | |
| | 1.5929 | 3.0 | 18 | 1.3909 | |
| | 1.2724 | 4.0 | 24 | 1.1387 | |
| | 1.0906 | 5.0 | 30 | 0.9902 | |
| | 0.9501 | 6.0 | 36 | 0.8982 | |
| | 0.8489 | 7.0 | 42 | 0.8078 | |
| | 0.7684 | 8.0 | 48 | 0.7145 | |
| | 0.6872 | 9.0 | 54 | 0.6570 | |
| | 0.6574 | 10.0 | 60 | 0.6683 | |
| | 0.6364 | 11.0 | 66 | 0.6542 | |
| | 0.6217 | 12.0 | 72 | 0.5741 | |
| | 0.561 | 13.0 | 78 | 0.5594 | |
| | 0.548 | 14.0 | 84 | 0.5491 | |
| | 0.5447 | 15.0 | 90 | 0.5075 | |
| | 0.5114 | 16.0 | 96 | 0.5275 | |
| | 0.4897 | 17.0 | 102 | 0.4606 | |
| | 0.4736 | 18.0 | 108 | 0.4505 | |
| | 0.4536 | 19.0 | 114 | 0.4420 | |
| | 0.4438 | 20.0 | 120 | 0.4338 | |
| | 0.4178 | 21.0 | 126 | 0.4388 | |
| | 0.439 | 22.0 | 132 | 0.4336 | |
| | 0.4315 | 23.0 | 138 | 0.3953 | |
| | 0.4006 | 24.0 | 144 | 0.3763 | |
| | 0.3923 | 25.0 | 150 | 0.3776 | |
| | 0.3785 | 26.0 | 156 | 0.3616 | |
| | 0.38 | 27.0 | 162 | 0.3504 | |
| | 0.3546 | 28.0 | 168 | 0.3411 | |
| | 0.3507 | 29.0 | 174 | 0.3395 | |
| | 0.3518 | 30.0 | 180 | 0.3256 | |
| | 0.3324 | 31.0 | 186 | 0.3084 | |
| | 0.3161 | 32.0 | 192 | 0.2991 | |
| | 0.3043 | 33.0 | 198 | 0.2820 | |
| | 0.2977 | 34.0 | 204 | 0.2706 | |
| | 0.2911 | 35.0 | 210 | 0.2644 | |
| | 0.2843 | 36.0 | 216 | 0.2583 | |
| | 0.2662 | 37.0 | 222 | 0.2491 | |
| | 0.2737 | 38.0 | 228 | 0.2438 | |
| | 0.2599 | 39.0 | 234 | 0.2397 | |
| | 0.2647 | 40.0 | 240 | 0.2387 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 4.57.2 |
| - Pytorch 2.9.1+cu128 |
| - Datasets 4.5.0 |
| - Tokenizers 0.22.1 |
| |
