| --- |
| 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: 0.1069 |
|
|
| ## 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: 0.0003 |
| - 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: 70 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.1895 | 1.0 | 6 | 2.6427 | |
| | 2.5023 | 2.0 | 12 | 2.3194 | |
| | 2.2164 | 3.0 | 18 | 2.0818 | |
| | 1.9817 | 4.0 | 24 | 1.8459 | |
| | 1.7401 | 5.0 | 30 | 1.5845 | |
| | 1.4949 | 6.0 | 36 | 1.3665 | |
| | 1.3165 | 7.0 | 42 | 1.2362 | |
| | 1.1900 | 8.0 | 48 | 1.1268 | |
| | 1.0863 | 9.0 | 54 | 1.0420 | |
| | 1.0146 | 10.0 | 60 | 0.9612 | |
| | 0.9334 | 11.0 | 66 | 0.8996 | |
| | 0.8609 | 12.0 | 72 | 0.8165 | |
| | 0.7963 | 13.0 | 78 | 0.7590 | |
| | 0.7421 | 14.0 | 84 | 0.7111 | |
| | 0.7035 | 15.0 | 90 | 0.6801 | |
| | 0.6712 | 16.0 | 96 | 0.6426 | |
| | 0.6280 | 17.0 | 102 | 0.6165 | |
| | 0.6134 | 18.0 | 108 | 0.6010 | |
| | 0.5910 | 19.0 | 114 | 0.5739 | |
| | 0.5714 | 20.0 | 120 | 0.5586 | |
| | 0.5493 | 21.0 | 126 | 0.5467 | |
| | 0.5482 | 22.0 | 132 | 0.5332 | |
| | 0.5189 | 23.0 | 138 | 0.5065 | |
| | 0.5028 | 24.0 | 144 | 0.4866 | |
| | 0.4837 | 25.0 | 150 | 0.4671 | |
| | 0.4711 | 26.0 | 156 | 0.4461 | |
| | 0.4482 | 27.0 | 162 | 0.4298 | |
| | 0.4262 | 28.0 | 168 | 0.4064 | |
| | 0.4098 | 29.0 | 174 | 0.3933 | |
| | 0.3945 | 30.0 | 180 | 0.3733 | |
| | 0.3810 | 31.0 | 186 | 0.3547 | |
| | 0.3614 | 32.0 | 192 | 0.3353 | |
| | 0.3432 | 33.0 | 198 | 0.3179 | |
| | 0.3322 | 34.0 | 204 | 0.3003 | |
| | 0.3181 | 35.0 | 210 | 0.2997 | |
| | 0.3149 | 36.0 | 216 | 0.2767 | |
| | 0.2864 | 37.0 | 222 | 0.2600 | |
| | 0.2819 | 38.0 | 228 | 0.2418 | |
| | 0.2663 | 39.0 | 234 | 0.2296 | |
| | 0.2591 | 40.0 | 240 | 0.2176 | |
| | 0.2535 | 41.0 | 246 | 0.2106 | |
| | 0.2314 | 42.0 | 252 | 0.1970 | |
| | 0.2277 | 43.0 | 258 | 0.1849 | |
| | 0.2231 | 44.0 | 264 | 0.1754 | |
| | 0.2109 | 45.0 | 270 | 0.1750 | |
| | 0.1956 | 46.0 | 276 | 0.1640 | |
| | 0.1933 | 47.0 | 282 | 0.1597 | |
| | 0.1826 | 48.0 | 288 | 0.1556 | |
| | 0.1831 | 49.0 | 294 | 0.1550 | |
| | 0.1776 | 50.0 | 300 | 0.1436 | |
| | 0.1671 | 51.0 | 306 | 0.1417 | |
| | 0.1773 | 52.0 | 312 | 0.1349 | |
| | 0.1617 | 53.0 | 318 | 0.1311 | |
| | 0.1600 | 54.0 | 324 | 0.1333 | |
| | 0.1557 | 55.0 | 330 | 0.1274 | |
| | 0.1548 | 56.0 | 336 | 0.1231 | |
| | 0.1486 | 57.0 | 342 | 0.1217 | |
| | 0.1484 | 58.0 | 348 | 0.1201 | |
| | 0.1434 | 59.0 | 354 | 0.1169 | |
| | 0.1375 | 60.0 | 360 | 0.1179 | |
| | 0.1418 | 61.0 | 366 | 0.1142 | |
| | 0.1377 | 62.0 | 372 | 0.1119 | |
| | 0.1422 | 63.0 | 378 | 0.1115 | |
| | 0.1315 | 64.0 | 384 | 0.1104 | |
| | 0.1362 | 65.0 | 390 | 0.1106 | |
| | 0.1380 | 66.0 | 396 | 0.1084 | |
| | 0.1326 | 67.0 | 402 | 0.1072 | |
| | 0.1311 | 68.0 | 408 | 0.1078 | |
| | 0.1396 | 69.0 | 414 | 0.1073 | |
| | 0.1340 | 70.0 | 420 | 0.1069 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
