| --- |
| 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: 0.6688 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.4045 | 1.0 | 6 | 2.7587 | |
| | 2.3917 | 2.0 | 12 | 1.9900 | |
| | 1.8734 | 3.0 | 18 | 1.6958 | |
| | 1.6324 | 4.0 | 24 | 1.6081 | |
| | 1.5676 | 5.0 | 30 | 1.5619 | |
| | 1.5436 | 6.0 | 36 | 1.6197 | |
| | 1.5139 | 7.0 | 42 | 1.4991 | |
| | 1.4614 | 8.0 | 48 | 1.4779 | |
| | 1.4407 | 9.0 | 54 | 1.4234 | |
| | 1.3644 | 10.0 | 60 | 1.3460 | |
| | 1.3096 | 11.0 | 66 | 1.3823 | |
| | 1.2634 | 12.0 | 72 | 1.2711 | |
| | 1.1912 | 13.0 | 78 | 1.2382 | |
| | 1.1856 | 14.0 | 84 | 1.1337 | |
| | 1.1019 | 15.0 | 90 | 1.2100 | |
| | 1.1441 | 16.0 | 96 | 1.1382 | |
| | 1.0611 | 17.0 | 102 | 1.0282 | |
| | 0.9967 | 18.0 | 108 | 0.9920 | |
| | 0.9765 | 19.0 | 114 | 0.9946 | |
| | 0.9517 | 20.0 | 120 | 0.9478 | |
| | 0.9374 | 21.0 | 126 | 0.9441 | |
| | 0.8931 | 22.0 | 132 | 0.9748 | |
| | 0.8756 | 23.0 | 138 | 0.8511 | |
| | 0.8523 | 24.0 | 144 | 0.8759 | |
| | 0.8757 | 25.0 | 150 | 0.8253 | |
| | 0.8209 | 26.0 | 156 | 0.8182 | |
| | 0.8190 | 27.0 | 162 | 0.7820 | |
| | 0.7795 | 28.0 | 168 | 0.7740 | |
| | 0.8097 | 29.0 | 174 | 0.7571 | |
| | 0.7626 | 30.0 | 180 | 0.7584 | |
| | 0.7491 | 31.0 | 186 | 0.7444 | |
| | 0.7320 | 32.0 | 192 | 0.7177 | |
| | 0.7235 | 33.0 | 198 | 0.7124 | |
| | 0.7145 | 34.0 | 204 | 0.7032 | |
| | 0.7085 | 35.0 | 210 | 0.6888 | |
| | 0.7138 | 36.0 | 216 | 0.6866 | |
| | 0.6910 | 37.0 | 222 | 0.6789 | |
| | 0.6801 | 38.0 | 228 | 0.6731 | |
| | 0.6819 | 39.0 | 234 | 0.6715 | |
| | 0.6750 | 40.0 | 240 | 0.6688 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cpu |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
