| --- |
| 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: 0.2172 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.0547 | 1.0 | 6 | 2.3235 | |
| | 2.0645 | 2.0 | 12 | 1.8699 | |
| | 1.6975 | 3.0 | 18 | 1.5582 | |
| | 1.4058 | 4.0 | 24 | 1.2875 | |
| | 1.1930 | 5.0 | 30 | 1.0846 | |
| | 1.0571 | 6.0 | 36 | 1.0523 | |
| | 0.9713 | 7.0 | 42 | 0.9177 | |
| | 0.8768 | 8.0 | 48 | 0.9016 | |
| | 0.8688 | 9.0 | 54 | 0.8003 | |
| | 0.7712 | 10.0 | 60 | 0.7546 | |
| | 0.7255 | 11.0 | 66 | 0.6924 | |
| | 0.6674 | 12.0 | 72 | 0.6362 | |
| | 0.6104 | 13.0 | 78 | 0.6404 | |
| | 0.5723 | 14.0 | 84 | 0.5483 | |
| | 0.5251 | 15.0 | 90 | 0.5152 | |
| | 0.5100 | 16.0 | 96 | 0.4806 | |
| | 0.4442 | 17.0 | 102 | 0.4510 | |
| | 0.4643 | 18.0 | 108 | 0.4321 | |
| | 0.4391 | 19.0 | 114 | 0.4565 | |
| | 0.4395 | 20.0 | 120 | 0.4186 | |
| | 0.4202 | 21.0 | 126 | 0.3869 | |
| | 0.4038 | 22.0 | 132 | 0.3577 | |
| | 0.3632 | 23.0 | 138 | 0.3645 | |
| | 0.3682 | 24.0 | 144 | 0.3557 | |
| | 0.3688 | 25.0 | 150 | 0.3535 | |
| | 0.3548 | 26.0 | 156 | 0.3524 | |
| | 0.3401 | 27.0 | 162 | 0.3203 | |
| | 0.3440 | 28.0 | 168 | 0.3018 | |
| | 0.3059 | 29.0 | 174 | 0.2777 | |
| | 0.2963 | 30.0 | 180 | 0.2761 | |
| | 0.2960 | 31.0 | 186 | 0.2661 | |
| | 0.2681 | 32.0 | 192 | 0.2570 | |
| | 0.2578 | 33.0 | 198 | 0.2479 | |
| | 0.2549 | 34.0 | 204 | 0.2413 | |
| | 0.2702 | 35.0 | 210 | 0.2329 | |
| | 0.2488 | 36.0 | 216 | 0.2267 | |
| | 0.2550 | 37.0 | 222 | 0.2219 | |
| | 0.2324 | 38.0 | 228 | 0.2206 | |
| | 0.2294 | 39.0 | 234 | 0.2190 | |
| | 0.2242 | 40.0 | 240 | 0.2172 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
