| --- |
| 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: 0.0811 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.9776 | 1.0 | 6 | 2.2338 | |
| | 2.0137 | 2.0 | 12 | 1.7343 | |
| | 1.5786 | 3.0 | 18 | 1.3472 | |
| | 1.2457 | 4.0 | 24 | 1.0998 | |
| | 1.0472 | 5.0 | 30 | 1.0031 | |
| | 0.9384 | 6.0 | 36 | 0.8653 | |
| | 0.8173 | 7.0 | 42 | 0.7479 | |
| | 0.7478 | 8.0 | 48 | 0.7076 | |
| | 0.6777 | 9.0 | 54 | 0.6401 | |
| | 0.6439 | 10.0 | 60 | 0.5758 | |
| | 0.5733 | 11.0 | 66 | 0.5338 | |
| | 0.5459 | 12.0 | 72 | 0.5289 | |
| | 0.5389 | 13.0 | 78 | 0.4816 | |
| | 0.4900 | 14.0 | 84 | 0.4525 | |
| | 0.4634 | 15.0 | 90 | 0.4408 | |
| | 0.4486 | 16.0 | 96 | 0.4086 | |
| | 0.4222 | 17.0 | 102 | 0.3999 | |
| | 0.4134 | 18.0 | 108 | 0.3542 | |
| | 0.3664 | 19.0 | 114 | 0.3412 | |
| | 0.3552 | 20.0 | 120 | 0.3342 | |
| | 0.3430 | 21.0 | 126 | 0.2933 | |
| | 0.3136 | 22.0 | 132 | 0.2505 | |
| | 0.2884 | 23.0 | 138 | 0.2319 | |
| | 0.2694 | 24.0 | 144 | 0.2140 | |
| | 0.2444 | 25.0 | 150 | 0.1982 | |
| | 0.2260 | 26.0 | 156 | 0.1673 | |
| | 0.2047 | 27.0 | 162 | 0.1553 | |
| | 0.2054 | 28.0 | 168 | 0.1375 | |
| | 0.1868 | 29.0 | 174 | 0.1267 | |
| | 0.1679 | 30.0 | 180 | 0.1165 | |
| | 0.1555 | 31.0 | 186 | 0.1120 | |
| | 0.1533 | 32.0 | 192 | 0.1032 | |
| | 0.1422 | 33.0 | 198 | 0.0982 | |
| | 0.1332 | 34.0 | 204 | 0.0978 | |
| | 0.1335 | 35.0 | 210 | 0.0920 | |
| | 0.1256 | 36.0 | 216 | 0.0900 | |
| | 0.1311 | 37.0 | 222 | 0.0879 | |
| | 0.1185 | 38.0 | 228 | 0.0830 | |
| | 0.1171 | 39.0 | 234 | 0.0816 | |
| | 0.1154 | 40.0 | 240 | 0.0811 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
