| --- |
| 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: 0.7120 |
|
|
| ## 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 | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 3.3426 | 1.0 | 6 | 2.7993 | |
| | 2.4209 | 2.0 | 12 | 1.9973 | |
| | 1.8734 | 3.0 | 18 | 1.7473 | |
| | 1.6692 | 4.0 | 24 | 1.6342 | |
| | 1.5799 | 5.0 | 30 | 1.6449 | |
| | 1.5671 | 6.0 | 36 | 1.5829 | |
| | 1.5089 | 7.0 | 42 | 1.5246 | |
| | 1.4829 | 8.0 | 48 | 1.5022 | |
| | 1.4327 | 9.0 | 54 | 1.4243 | |
| | 1.4399 | 10.0 | 60 | 1.3937 | |
| | 1.3700 | 11.0 | 66 | 1.3579 | |
| | 1.3430 | 12.0 | 72 | 1.2976 | |
| | 1.2724 | 13.0 | 78 | 1.2658 | |
| | 1.2386 | 14.0 | 84 | 1.1594 | |
| | 1.2057 | 15.0 | 90 | 1.2266 | |
| | 1.2069 | 16.0 | 96 | 1.3501 | |
| | 1.2408 | 17.0 | 102 | 1.1047 | |
| | 1.1625 | 18.0 | 108 | 1.1621 | |
| | 1.1029 | 19.0 | 114 | 1.1712 | |
| | 1.1209 | 20.0 | 120 | 1.0636 | |
| | 1.0304 | 21.0 | 126 | 0.9785 | |
| | 0.9679 | 22.0 | 132 | 0.9535 | |
| | 0.9591 | 23.0 | 138 | 0.8968 | |
| | 0.9017 | 24.0 | 144 | 0.8817 | |
| | 0.8773 | 25.0 | 150 | 0.9545 | |
| | 0.9173 | 26.0 | 156 | 1.0227 | |
| | 0.9503 | 27.0 | 162 | 0.8290 | |
| | 0.8785 | 28.0 | 168 | 0.8701 | |
| | 0.8594 | 29.0 | 174 | 0.8212 | |
| | 0.8462 | 30.0 | 180 | 0.8228 | |
| | 0.8191 | 31.0 | 186 | 0.8144 | |
| | 0.8301 | 32.0 | 192 | 0.7736 | |
| | 0.7794 | 33.0 | 198 | 0.7820 | |
| | 0.7795 | 34.0 | 204 | 0.7523 | |
| | 0.7806 | 35.0 | 210 | 0.7386 | |
| | 0.7463 | 36.0 | 216 | 0.7327 | |
| | 0.7594 | 37.0 | 222 | 0.7222 | |
| | 0.7774 | 38.0 | 228 | 0.7165 | |
| | 0.7488 | 39.0 | 234 | 0.7132 | |
| | 0.7370 | 40.0 | 240 | 0.7120 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
