| --- |
| 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: 1.3362 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.3627 | 1.0 | 6 | 2.7265 | |
| | 2.3833 | 2.0 | 12 | 1.9531 | |
| | 1.8417 | 3.0 | 18 | 1.6770 | |
| | 1.6578 | 4.0 | 24 | 1.5824 | |
| | 1.5674 | 5.0 | 30 | 1.5478 | |
| | 1.5750 | 6.0 | 36 | 1.5474 | |
| | 1.5333 | 7.0 | 42 | 1.7200 | |
| | 1.6069 | 8.0 | 48 | 1.5513 | |
| | 1.5526 | 9.0 | 54 | 1.5275 | |
| | 1.5118 | 10.0 | 60 | 1.5277 | |
| | 1.5246 | 11.0 | 66 | 1.5190 | |
| | 1.5645 | 12.0 | 72 | 1.5177 | |
| | 1.5285 | 13.0 | 78 | 1.5219 | |
| | 1.5391 | 14.0 | 84 | 1.5125 | |
| | 1.5124 | 15.0 | 90 | 1.5222 | |
| | 1.5302 | 16.0 | 96 | 1.5181 | |
| | 1.5253 | 17.0 | 102 | 1.5064 | |
| | 1.4981 | 18.0 | 108 | 1.5100 | |
| | 1.5007 | 19.0 | 114 | 1.4890 | |
| | 1.4692 | 20.0 | 120 | 1.4828 | |
| | 1.4616 | 21.0 | 126 | 1.4810 | |
| | 1.4744 | 22.0 | 132 | 1.4636 | |
| | 1.4671 | 23.0 | 138 | 1.4516 | |
| | 1.4594 | 24.0 | 144 | 1.4417 | |
| | 1.4802 | 25.0 | 150 | 1.4573 | |
| | 1.4573 | 26.0 | 156 | 1.4384 | |
| | 1.4171 | 27.0 | 162 | 1.4459 | |
| | 1.4506 | 28.0 | 168 | 1.4285 | |
| | 1.4360 | 29.0 | 174 | 1.4135 | |
| | 1.4537 | 30.0 | 180 | 1.4091 | |
| | 1.4133 | 31.0 | 186 | 1.4245 | |
| | 1.4442 | 32.0 | 192 | 1.3852 | |
| | 1.3666 | 33.0 | 198 | 1.3804 | |
| | 1.3887 | 34.0 | 204 | 1.3633 | |
| | 1.3842 | 35.0 | 210 | 1.3585 | |
| | 1.3670 | 36.0 | 216 | 1.3495 | |
| | 1.3610 | 37.0 | 222 | 1.3469 | |
| | 1.3501 | 38.0 | 228 | 1.3452 | |
| | 1.3474 | 39.0 | 234 | 1.3374 | |
| | 1.3398 | 40.0 | 240 | 1.3362 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
