| --- |
| library_name: transformers |
| tags: |
| - generated_from_trainer |
| model-index: |
| - name: calculator_model_test1 |
| 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_test1 |
|
|
| 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: 0.0812 |
|
|
| ## 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 |
| - mixed_precision_training: Native AMP |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.9229 | 1.0 | 6 | 2.2326 | |
| | 2.0049 | 2.0 | 12 | 1.7103 | |
| | 1.5420 | 3.0 | 18 | 1.3654 | |
| | 1.2160 | 4.0 | 24 | 1.0594 | |
| | 1.0152 | 5.0 | 30 | 0.9351 | |
| | 0.9045 | 6.0 | 36 | 0.8313 | |
| | 0.8259 | 7.0 | 42 | 0.7719 | |
| | 0.7393 | 8.0 | 48 | 0.6679 | |
| | 0.6706 | 9.0 | 54 | 0.6165 | |
| | 0.6159 | 10.0 | 60 | 0.5675 | |
| | 0.5727 | 11.0 | 66 | 0.5366 | |
| | 0.5439 | 12.0 | 72 | 0.4941 | |
| | 0.5177 | 13.0 | 78 | 0.4715 | |
| | 0.4960 | 14.0 | 84 | 0.4656 | |
| | 0.4791 | 15.0 | 90 | 0.4849 | |
| | 0.4674 | 16.0 | 96 | 0.4290 | |
| | 0.4400 | 17.0 | 102 | 0.4014 | |
| | 0.4173 | 18.0 | 108 | 0.3741 | |
| | 0.3855 | 19.0 | 114 | 0.3403 | |
| | 0.3612 | 20.0 | 120 | 0.3264 | |
| | 0.3450 | 21.0 | 126 | 0.3056 | |
| | 0.3191 | 22.0 | 132 | 0.2809 | |
| | 0.2951 | 23.0 | 138 | 0.2809 | |
| | 0.2872 | 24.0 | 144 | 0.2439 | |
| | 0.2758 | 25.0 | 150 | 0.2237 | |
| | 0.2452 | 26.0 | 156 | 0.2104 | |
| | 0.2263 | 27.0 | 162 | 0.1879 | |
| | 0.2083 | 28.0 | 168 | 0.1739 | |
| | 0.1974 | 29.0 | 174 | 0.1584 | |
| | 0.1776 | 30.0 | 180 | 0.1451 | |
| | 0.1669 | 31.0 | 186 | 0.1376 | |
| | 0.1565 | 32.0 | 192 | 0.1234 | |
| | 0.1502 | 33.0 | 198 | 0.1140 | |
| | 0.1403 | 34.0 | 204 | 0.1007 | |
| | 0.1341 | 35.0 | 210 | 0.0964 | |
| | 0.1284 | 36.0 | 216 | 0.0911 | |
| | 0.1234 | 37.0 | 222 | 0.0865 | |
| | 0.1154 | 38.0 | 228 | 0.0845 | |
| | 0.1172 | 39.0 | 234 | 0.0826 | |
| | 0.1149 | 40.0 | 240 | 0.0812 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cpu |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
