| --- |
| library_name: transformers |
| base_model: pt430187/calculator_model_test |
| 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 [pt430187/calculator_model_test](https://huggingface.co/pt430187/calculator_model_test) on the None dataset. |
| It achieves the following results on the evaluation set: |
| - Loss: 0.6437 |
|
|
| ## 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: 1e-05 |
| - 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: 60 |
| |
| ### Training results |
| |
| | Training Loss | Epoch | Step | Validation Loss | |
| |:-------------:|:-----:|:----:|:---------------:| |
| | 0.7873 | 1.0 | 6 | 0.7304 | |
| | 0.7842 | 2.0 | 12 | 0.7200 | |
| | 0.7695 | 3.0 | 18 | 0.7135 | |
| | 0.7704 | 4.0 | 24 | 0.7096 | |
| | 0.7592 | 5.0 | 30 | 0.7038 | |
| | 0.7514 | 6.0 | 36 | 0.7007 | |
| | 0.7428 | 7.0 | 42 | 0.6986 | |
| | 0.7328 | 8.0 | 48 | 0.6965 | |
| | 0.7498 | 9.0 | 54 | 0.6941 | |
| | 0.7548 | 10.0 | 60 | 0.6917 | |
| | 0.7523 | 11.0 | 66 | 0.6896 | |
| | 0.7469 | 12.0 | 72 | 0.6866 | |
| | 0.7519 | 13.0 | 78 | 0.6841 | |
| | 0.7429 | 14.0 | 84 | 0.6830 | |
| | 0.7311 | 15.0 | 90 | 0.6804 | |
| | 0.7241 | 16.0 | 96 | 0.6775 | |
| | 0.7400 | 17.0 | 102 | 0.6757 | |
| | 0.7224 | 18.0 | 108 | 0.6745 | |
| | 0.7311 | 19.0 | 114 | 0.6741 | |
| | 0.7377 | 20.0 | 120 | 0.6726 | |
| | 0.7249 | 21.0 | 126 | 0.6703 | |
| | 0.7326 | 22.0 | 132 | 0.6688 | |
| | 0.7181 | 23.0 | 138 | 0.6687 | |
| | 0.7384 | 24.0 | 144 | 0.6673 | |
| | 0.7146 | 25.0 | 150 | 0.6649 | |
| | 0.7232 | 26.0 | 156 | 0.6637 | |
| | 0.7190 | 27.0 | 162 | 0.6619 | |
| | 0.7250 | 28.0 | 168 | 0.6599 | |
| | 0.7236 | 29.0 | 174 | 0.6593 | |
| | 0.7261 | 30.0 | 180 | 0.6607 | |
| | 0.7203 | 31.0 | 186 | 0.6592 | |
| | 0.7278 | 32.0 | 192 | 0.6568 | |
| | 0.7066 | 33.0 | 198 | 0.6555 | |
| | 0.7183 | 34.0 | 204 | 0.6544 | |
| | 0.7074 | 35.0 | 210 | 0.6536 | |
| | 0.7265 | 36.0 | 216 | 0.6534 | |
| | 0.7120 | 37.0 | 222 | 0.6529 | |
| | 0.7215 | 38.0 | 228 | 0.6519 | |
| | 0.7147 | 39.0 | 234 | 0.6518 | |
| | 0.7211 | 40.0 | 240 | 0.6516 | |
| | 0.7143 | 41.0 | 246 | 0.6501 | |
| | 0.7069 | 42.0 | 252 | 0.6486 | |
| | 0.7063 | 43.0 | 258 | 0.6479 | |
| | 0.7090 | 44.0 | 264 | 0.6475 | |
| | 0.7055 | 45.0 | 270 | 0.6470 | |
| | 0.7021 | 46.0 | 276 | 0.6468 | |
| | 0.7142 | 47.0 | 282 | 0.6463 | |
| | 0.7211 | 48.0 | 288 | 0.6456 | |
| | 0.7098 | 49.0 | 294 | 0.6453 | |
| | 0.7150 | 50.0 | 300 | 0.6452 | |
| | 0.7147 | 51.0 | 306 | 0.6452 | |
| | 0.7114 | 52.0 | 312 | 0.6451 | |
| | 0.7076 | 53.0 | 318 | 0.6450 | |
| | 0.7286 | 54.0 | 324 | 0.6447 | |
| | 0.7008 | 55.0 | 330 | 0.6445 | |
| | 0.7004 | 56.0 | 336 | 0.6442 | |
| | 0.7087 | 57.0 | 342 | 0.6441 | |
| | 0.6944 | 58.0 | 348 | 0.6439 | |
| | 0.7045 | 59.0 | 354 | 0.6437 | |
| | 0.7096 | 60.0 | 360 | 0.6437 | |
| |
| |
| ### Framework versions |
| |
| - Transformers 5.0.0 |
| - Pytorch 2.10.0+cu128 |
| - Datasets 4.0.0 |
| - Tokenizers 0.22.2 |
| |
