| --- |
| 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: 0.1169 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 2.9502 | 1.0 | 6 | 2.2802 | |
| | 2.0549 | 2.0 | 12 | 1.7738 | |
| | 1.5997 | 3.0 | 18 | 1.4024 | |
| | 1.2779 | 4.0 | 24 | 1.1706 | |
| | 1.0815 | 5.0 | 30 | 1.0180 | |
| | 0.9888 | 6.0 | 36 | 0.9056 | |
| | 0.8501 | 7.0 | 42 | 0.8061 | |
| | 0.8250 | 8.0 | 48 | 0.7222 | |
| | 0.7338 | 9.0 | 54 | 0.6823 | |
| | 0.6561 | 10.0 | 60 | 0.6417 | |
| | 0.6298 | 11.0 | 66 | 0.6212 | |
| | 0.6047 | 12.0 | 72 | 0.5623 | |
| | 0.5525 | 13.0 | 78 | 0.5455 | |
| | 0.5400 | 14.0 | 84 | 0.4992 | |
| | 0.5045 | 15.0 | 90 | 0.4876 | |
| | 0.4888 | 16.0 | 96 | 0.4948 | |
| | 0.4609 | 17.0 | 102 | 0.4694 | |
| | 0.4535 | 18.0 | 108 | 0.4192 | |
| | 0.4206 | 19.0 | 114 | 0.4057 | |
| | 0.4170 | 20.0 | 120 | 0.3800 | |
| | 0.3543 | 21.0 | 126 | 0.3535 | |
| | 0.3753 | 22.0 | 132 | 0.3321 | |
| | 0.3173 | 23.0 | 138 | 0.3216 | |
| | 0.3158 | 24.0 | 144 | 0.2960 | |
| | 0.3168 | 25.0 | 150 | 0.2865 | |
| | 0.2720 | 26.0 | 156 | 0.2633 | |
| | 0.2552 | 27.0 | 162 | 0.2425 | |
| | 0.2640 | 28.0 | 168 | 0.2167 | |
| | 0.2276 | 29.0 | 174 | 0.1935 | |
| | 0.2228 | 30.0 | 180 | 0.1803 | |
| | 0.2011 | 31.0 | 186 | 0.1693 | |
| | 0.1959 | 32.0 | 192 | 0.1507 | |
| | 0.1897 | 33.0 | 198 | 0.1418 | |
| | 0.1649 | 34.0 | 204 | 0.1337 | |
| | 0.1770 | 35.0 | 210 | 0.1313 | |
| | 0.1466 | 36.0 | 216 | 0.1262 | |
| | 0.1632 | 37.0 | 222 | 0.1231 | |
| | 0.1553 | 38.0 | 228 | 0.1192 | |
| | 0.1453 | 39.0 | 234 | 0.1173 | |
| | 0.1475 | 40.0 | 240 | 0.1169 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cpu |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
