| --- |
| 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: 0.1433 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.9812 | 1.0 | 6 | 2.2407 | |
| | 2.0270 | 2.0 | 12 | 1.7466 | |
| | 1.5714 | 3.0 | 18 | 1.2953 | |
| | 1.2001 | 4.0 | 24 | 1.0696 | |
| | 1.0133 | 5.0 | 30 | 0.9091 | |
| | 0.8661 | 6.0 | 36 | 0.7848 | |
| | 0.7555 | 7.0 | 42 | 0.6814 | |
| | 0.6796 | 8.0 | 48 | 0.6318 | |
| | 0.6473 | 9.0 | 54 | 0.6153 | |
| | 0.6041 | 10.0 | 60 | 0.5501 | |
| | 0.5619 | 11.0 | 66 | 0.5469 | |
| | 0.5457 | 12.0 | 72 | 0.5018 | |
| | 0.5004 | 13.0 | 78 | 0.4598 | |
| | 0.4727 | 14.0 | 84 | 0.4299 | |
| | 0.4530 | 15.0 | 90 | 0.4329 | |
| | 0.4326 | 16.0 | 96 | 0.4042 | |
| | 0.4063 | 17.0 | 102 | 0.3745 | |
| | 0.3781 | 18.0 | 108 | 0.3800 | |
| | 0.3919 | 19.0 | 114 | 0.3520 | |
| | 0.3600 | 20.0 | 120 | 0.3237 | |
| | 0.3449 | 21.0 | 126 | 0.2963 | |
| | 0.3199 | 22.0 | 132 | 0.3008 | |
| | 0.3220 | 23.0 | 138 | 0.2882 | |
| | 0.3037 | 24.0 | 144 | 0.2534 | |
| | 0.2746 | 25.0 | 150 | 0.2573 | |
| | 0.2700 | 26.0 | 156 | 0.2359 | |
| | 0.2573 | 27.0 | 162 | 0.2204 | |
| | 0.2392 | 28.0 | 168 | 0.2122 | |
| | 0.2339 | 29.0 | 174 | 0.2000 | |
| | 0.2208 | 30.0 | 180 | 0.1913 | |
| | 0.2159 | 31.0 | 186 | 0.1816 | |
| | 0.1982 | 32.0 | 192 | 0.1747 | |
| | 0.1967 | 33.0 | 198 | 0.1665 | |
| | 0.1868 | 34.0 | 204 | 0.1642 | |
| | 0.1804 | 35.0 | 210 | 0.1589 | |
| | 0.1797 | 36.0 | 216 | 0.1555 | |
| | 0.1731 | 37.0 | 222 | 0.1524 | |
| | 0.1698 | 38.0 | 228 | 0.1471 | |
| | 0.1679 | 39.0 | 234 | 0.1440 | |
| | 0.1667 | 40.0 | 240 | 0.1433 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
