| --- |
| 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: 1.5025 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.4213 | 1.0 | 6 | 2.7742 | |
| | 2.3873 | 2.0 | 12 | 1.9848 | |
| | 1.8855 | 3.0 | 18 | 1.6983 | |
| | 1.6818 | 4.0 | 24 | 1.5908 | |
| | 1.5942 | 5.0 | 30 | 1.5682 | |
| | 1.5581 | 6.0 | 36 | 1.5332 | |
| | 1.5573 | 7.0 | 42 | 1.5375 | |
| | 1.5423 | 8.0 | 48 | 1.5241 | |
| | 1.5435 | 9.0 | 54 | 1.5207 | |
| | 1.5402 | 10.0 | 60 | 1.5169 | |
| | 1.5330 | 11.0 | 66 | 1.5100 | |
| | 1.5252 | 12.0 | 72 | 1.5091 | |
| | 1.5234 | 13.0 | 78 | 1.5080 | |
| | 1.5284 | 14.0 | 84 | 1.5142 | |
| | 1.5221 | 15.0 | 90 | 1.5212 | |
| | 1.5305 | 16.0 | 96 | 1.5103 | |
| | 1.5199 | 17.0 | 102 | 1.5069 | |
| | 1.5174 | 18.0 | 108 | 1.5121 | |
| | 1.5104 | 19.0 | 114 | 1.5072 | |
| | 1.5197 | 20.0 | 120 | 1.5043 | |
| | 1.5101 | 21.0 | 126 | 1.5044 | |
| | 1.5145 | 22.0 | 132 | 1.5040 | |
| | 1.5226 | 23.0 | 138 | 1.5058 | |
| | 1.5299 | 24.0 | 144 | 1.5069 | |
| | 1.5290 | 25.0 | 150 | 1.5061 | |
| | 1.5070 | 26.0 | 156 | 1.5067 | |
| | 1.5077 | 27.0 | 162 | 1.5066 | |
| | 1.5240 | 28.0 | 168 | 1.5030 | |
| | 1.5344 | 29.0 | 174 | 1.5010 | |
| | 1.5148 | 30.0 | 180 | 1.5009 | |
| | 1.5182 | 31.0 | 186 | 1.5029 | |
| | 1.5158 | 32.0 | 192 | 1.5058 | |
| | 1.5093 | 33.0 | 198 | 1.5057 | |
| | 1.5149 | 34.0 | 204 | 1.5037 | |
| | 1.5098 | 35.0 | 210 | 1.5022 | |
| | 1.5095 | 36.0 | 216 | 1.5020 | |
| | 1.5085 | 37.0 | 222 | 1.5021 | |
| | 1.5091 | 38.0 | 228 | 1.5020 | |
| | 1.5020 | 39.0 | 234 | 1.5025 | |
| | 1.5103 | 40.0 | 240 | 1.5025 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
