| --- |
| 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: 0.7002 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.4966 | 1.0 | 5 | 2.9381 | |
| | 2.5644 | 2.0 | 10 | 2.1833 | |
| | 1.9501 | 3.0 | 15 | 1.7482 | |
| | 1.6572 | 4.0 | 20 | 1.6286 | |
| | 1.5672 | 5.0 | 25 | 1.5984 | |
| | 1.5456 | 6.0 | 30 | 1.5522 | |
| | 1.5138 | 7.0 | 35 | 1.5623 | |
| | 1.5187 | 8.0 | 40 | 1.5271 | |
| | 1.4693 | 9.0 | 45 | 1.4929 | |
| | 1.4264 | 10.0 | 50 | 1.4364 | |
| | 1.3861 | 11.0 | 55 | 1.3868 | |
| | 1.3580 | 12.0 | 60 | 1.3506 | |
| | 1.3041 | 13.0 | 65 | 1.3024 | |
| | 1.2614 | 14.0 | 70 | 1.2353 | |
| | 1.1888 | 15.0 | 75 | 1.1557 | |
| | 1.1243 | 16.0 | 80 | 1.0897 | |
| | 1.0817 | 17.0 | 85 | 1.0597 | |
| | 1.0505 | 18.0 | 90 | 1.0613 | |
| | 1.0286 | 19.0 | 95 | 0.9825 | |
| | 0.9680 | 20.0 | 100 | 0.9919 | |
| | 0.9733 | 21.0 | 105 | 0.9443 | |
| | 0.9319 | 22.0 | 110 | 0.9685 | |
| | 0.9913 | 23.0 | 115 | 0.9770 | |
| | 0.9304 | 24.0 | 120 | 0.9019 | |
| | 0.8845 | 25.0 | 125 | 0.8840 | |
| | 0.8630 | 26.0 | 130 | 0.8568 | |
| | 0.8613 | 27.0 | 135 | 0.8521 | |
| | 0.8631 | 28.0 | 140 | 0.8390 | |
| | 0.8458 | 29.0 | 145 | 0.8094 | |
| | 0.8052 | 30.0 | 150 | 0.7904 | |
| | 0.7919 | 31.0 | 155 | 0.8096 | |
| | 0.7809 | 32.0 | 160 | 0.7677 | |
| | 0.7595 | 33.0 | 165 | 0.7542 | |
| | 0.7481 | 34.0 | 170 | 0.7461 | |
| | 0.7381 | 35.0 | 175 | 0.7301 | |
| | 0.7230 | 36.0 | 180 | 0.7188 | |
| | 0.7149 | 37.0 | 185 | 0.7115 | |
| | 0.7137 | 38.0 | 190 | 0.7115 | |
| | 0.7057 | 39.0 | 195 | 0.7009 | |
| | 0.7026 | 40.0 | 200 | 0.7002 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
