| | --- |
| | 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: 0.0853 |
| |
|
| | ## 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 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 | |
| | |:-------------:|:-----:|:----:|:---------------:| |
| | | 2.9446 | 1.0 | 6 | 2.2356 | |
| | | 1.9974 | 2.0 | 12 | 1.7231 | |
| | | 1.5322 | 3.0 | 18 | 1.3437 | |
| | | 1.2026 | 4.0 | 24 | 1.0972 | |
| | | 1.0097 | 5.0 | 30 | 0.9458 | |
| | | 0.9242 | 6.0 | 36 | 0.9294 | |
| | | 0.8364 | 7.0 | 42 | 0.7825 | |
| | | 0.7532 | 8.0 | 48 | 0.7002 | |
| | | 0.6887 | 9.0 | 54 | 0.6662 | |
| | | 0.649 | 10.0 | 60 | 0.6007 | |
| | | 0.6128 | 11.0 | 66 | 0.5712 | |
| | | 0.5774 | 12.0 | 72 | 0.5336 | |
| | | 0.538 | 13.0 | 78 | 0.5130 | |
| | | 0.5073 | 14.0 | 84 | 0.4805 | |
| | | 0.482 | 15.0 | 90 | 0.4615 | |
| | | 0.4972 | 16.0 | 96 | 0.4641 | |
| | | 0.4565 | 17.0 | 102 | 0.4172 | |
| | | 0.4232 | 18.0 | 108 | 0.3793 | |
| | | 0.4058 | 19.0 | 114 | 0.3745 | |
| | | 0.3859 | 20.0 | 120 | 0.3502 | |
| | | 0.3611 | 21.0 | 126 | 0.3364 | |
| | | 0.341 | 22.0 | 132 | 0.2922 | |
| | | 0.3166 | 23.0 | 138 | 0.2788 | |
| | | 0.2848 | 24.0 | 144 | 0.2481 | |
| | | 0.2663 | 25.0 | 150 | 0.2436 | |
| | | 0.2558 | 26.0 | 156 | 0.2127 | |
| | | 0.2335 | 27.0 | 162 | 0.1852 | |
| | | 0.2041 | 28.0 | 168 | 0.1597 | |
| | | 0.183 | 29.0 | 174 | 0.1454 | |
| | | 0.172 | 30.0 | 180 | 0.1328 | |
| | | 0.1634 | 31.0 | 186 | 0.1228 | |
| | | 0.1518 | 32.0 | 192 | 0.1140 | |
| | | 0.1483 | 33.0 | 198 | 0.1073 | |
| | | 0.1429 | 34.0 | 204 | 0.1027 | |
| | | 0.1344 | 35.0 | 210 | 0.0978 | |
| | | 0.1299 | 36.0 | 216 | 0.0929 | |
| | | 0.1298 | 37.0 | 222 | 0.0899 | |
| | | 0.1247 | 38.0 | 228 | 0.0917 | |
| | | 0.1253 | 39.0 | 234 | 0.0869 | |
| | | 0.1141 | 40.0 | 240 | 0.0853 | |
| |
|
| |
|
| | ### Framework versions |
| |
|
| | - Transformers 4.48.0 |
| | - Pytorch 2.5.1+cu124 |
| | - Datasets 3.3.2 |
| | - Tokenizers 0.21.0 |
| |
|
