| --- |
| 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: 0.0074 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.7828 | 1.0 | 6 | 2.0687 | |
| | 1.7850 | 2.0 | 12 | 1.3799 | |
| | 1.1680 | 3.0 | 18 | 0.9251 | |
| | 0.8524 | 4.0 | 24 | 0.8014 | |
| | 0.7640 | 5.0 | 30 | 0.7196 | |
| | 0.6746 | 6.0 | 36 | 0.6506 | |
| | 0.5984 | 7.0 | 42 | 0.5609 | |
| | 0.5341 | 8.0 | 48 | 0.5140 | |
| | 0.4857 | 9.0 | 54 | 0.4675 | |
| | 0.4357 | 10.0 | 60 | 0.4175 | |
| | 0.3966 | 11.0 | 66 | 0.3690 | |
| | 0.3566 | 12.0 | 72 | 0.3337 | |
| | 0.3136 | 13.0 | 78 | 0.2890 | |
| | 0.2728 | 14.0 | 84 | 0.2274 | |
| | 0.2186 | 15.0 | 90 | 0.1968 | |
| | 0.1854 | 16.0 | 96 | 0.1546 | |
| | 0.1514 | 17.0 | 102 | 0.1240 | |
| | 0.1256 | 18.0 | 108 | 0.0980 | |
| | 0.1096 | 19.0 | 114 | 0.0838 | |
| | 0.0973 | 20.0 | 120 | 0.0623 | |
| | 0.0709 | 21.0 | 126 | 0.0514 | |
| | 0.0586 | 22.0 | 132 | 0.0419 | |
| | 0.0513 | 23.0 | 138 | 0.0342 | |
| | 0.0414 | 24.0 | 144 | 0.0265 | |
| | 0.0354 | 25.0 | 150 | 0.0225 | |
| | 0.0316 | 26.0 | 156 | 0.0193 | |
| | 0.0279 | 27.0 | 162 | 0.0161 | |
| | 0.0254 | 28.0 | 168 | 0.0156 | |
| | 0.0228 | 29.0 | 174 | 0.0130 | |
| | 0.0202 | 30.0 | 180 | 0.0111 | |
| | 0.0176 | 31.0 | 186 | 0.0104 | |
| | 0.0169 | 32.0 | 192 | 0.0094 | |
| | 0.0146 | 33.0 | 198 | 0.0092 | |
| | 0.0141 | 34.0 | 204 | 0.0085 | |
| | 0.0150 | 35.0 | 210 | 0.0083 | |
| | 0.0135 | 36.0 | 216 | 0.0080 | |
| | 0.0144 | 37.0 | 222 | 0.0078 | |
| | 0.0134 | 38.0 | 228 | 0.0076 | |
| | 0.0129 | 39.0 | 234 | 0.0074 | |
| | 0.0120 | 40.0 | 240 | 0.0074 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
