| --- |
| 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: 0.2019 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.8957 | 1.0 | 6 | 2.2381 | |
| | 2.0146 | 2.0 | 12 | 1.7705 | |
| | 1.6197 | 3.0 | 18 | 1.4439 | |
| | 1.2979 | 4.0 | 24 | 1.2227 | |
| | 1.1103 | 5.0 | 30 | 1.0364 | |
| | 0.9847 | 6.0 | 36 | 0.9059 | |
| | 0.8452 | 7.0 | 42 | 0.8222 | |
| | 0.7736 | 8.0 | 48 | 0.7130 | |
| | 0.7047 | 9.0 | 54 | 0.7146 | |
| | 0.6887 | 10.0 | 60 | 0.6280 | |
| | 0.6119 | 11.0 | 66 | 0.5824 | |
| | 0.5802 | 12.0 | 72 | 0.5667 | |
| | 0.5312 | 13.0 | 78 | 0.5148 | |
| | 0.5067 | 14.0 | 84 | 0.4975 | |
| | 0.4947 | 15.0 | 90 | 0.4650 | |
| | 0.4716 | 16.0 | 96 | 0.4645 | |
| | 0.4669 | 17.0 | 102 | 0.4134 | |
| | 0.4348 | 18.0 | 108 | 0.4056 | |
| | 0.4105 | 19.0 | 114 | 0.4091 | |
| | 0.4158 | 20.0 | 120 | 0.3917 | |
| | 0.3862 | 21.0 | 126 | 0.3704 | |
| | 0.3753 | 22.0 | 132 | 0.3581 | |
| | 0.3624 | 23.0 | 138 | 0.3444 | |
| | 0.3557 | 24.0 | 144 | 0.3281 | |
| | 0.3335 | 25.0 | 150 | 0.3180 | |
| | 0.3240 | 26.0 | 156 | 0.3008 | |
| | 0.3181 | 27.0 | 162 | 0.2858 | |
| | 0.3069 | 28.0 | 168 | 0.2820 | |
| | 0.2978 | 29.0 | 174 | 0.2660 | |
| | 0.2866 | 30.0 | 180 | 0.2594 | |
| | 0.2688 | 31.0 | 186 | 0.2464 | |
| | 0.2642 | 32.0 | 192 | 0.2372 | |
| | 0.2520 | 33.0 | 198 | 0.2307 | |
| | 0.2484 | 34.0 | 204 | 0.2216 | |
| | 0.2392 | 35.0 | 210 | 0.2195 | |
| | 0.2458 | 36.0 | 216 | 0.2128 | |
| | 0.2513 | 37.0 | 222 | 0.2108 | |
| | 0.2287 | 38.0 | 228 | 0.2072 | |
| | 0.2331 | 39.0 | 234 | 0.2034 | |
| | 0.2344 | 40.0 | 240 | 0.2019 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
