--- tags: - generated_from_trainer model-index: - name: calculator_model_test results: [] --- # 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: 0.7800 ## 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: 2e-05 - train_batch_size: 512 - eval_batch_size: 512 - seed: 42 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 - lr_scheduler_type: linear - num_epochs: 100 - mixed_precision_training: Native AMP ### Training results | Training Loss | Epoch | Step | Validation Loss | |:-------------:|:-----:|:----:|:---------------:| | No log | 1.0 | 6 | 6.5672 | | No log | 2.0 | 12 | 5.9069 | | No log | 3.0 | 18 | 5.4671 | | No log | 4.0 | 24 | 5.0855 | | No log | 5.0 | 30 | 4.7085 | | No log | 6.0 | 36 | 4.3935 | | No log | 7.0 | 42 | 4.1354 | | No log | 8.0 | 48 | 3.9330 | | No log | 9.0 | 54 | 3.7647 | | No log | 10.0 | 60 | 3.6286 | | No log | 11.0 | 66 | 3.5173 | | No log | 12.0 | 72 | 3.4148 | | No log | 13.0 | 78 | 3.3148 | | No log | 14.0 | 84 | 3.2218 | | No log | 15.0 | 90 | 3.1353 | | No log | 16.0 | 96 | 3.0524 | | No log | 17.0 | 102 | 2.9751 | | No log | 18.0 | 108 | 2.9017 | | No log | 19.0 | 114 | 2.8277 | | No log | 20.0 | 120 | 2.7534 | | No log | 21.0 | 126 | 2.6865 | | No log | 22.0 | 132 | 2.6260 | | No log | 23.0 | 138 | 2.5597 | | No log | 24.0 | 144 | 2.4913 | | No log | 25.0 | 150 | 2.4295 | | No log | 26.0 | 156 | 2.3668 | | No log | 27.0 | 162 | 2.3040 | | No log | 28.0 | 168 | 2.2391 | | No log | 29.0 | 174 | 2.1745 | | No log | 30.0 | 180 | 2.1036 | | No log | 31.0 | 186 | 2.0443 | | No log | 32.0 | 192 | 1.9919 | | No log | 33.0 | 198 | 1.9321 | | No log | 34.0 | 204 | 1.8771 | | No log | 35.0 | 210 | 1.8386 | | No log | 36.0 | 216 | 1.7951 | | No log | 37.0 | 222 | 1.7460 | | No log | 38.0 | 228 | 1.6974 | | No log | 39.0 | 234 | 1.6576 | | No log | 40.0 | 240 | 1.6112 | | No log | 41.0 | 246 | 1.5811 | | No log | 42.0 | 252 | 1.5540 | | No log | 43.0 | 258 | 1.5268 | | No log | 44.0 | 264 | 1.4873 | | No log | 45.0 | 270 | 1.4500 | | No log | 46.0 | 276 | 1.4161 | | No log | 47.0 | 282 | 1.3738 | | No log | 48.0 | 288 | 1.3495 | | No log | 49.0 | 294 | 1.3182 | | No log | 50.0 | 300 | 1.2899 | | No log | 51.0 | 306 | 1.2610 | | No log | 52.0 | 312 | 1.2478 | | No log | 53.0 | 318 | 1.2238 | | No log | 54.0 | 324 | 1.2060 | | No log | 55.0 | 330 | 1.1794 | | No log | 56.0 | 336 | 1.1774 | | No log | 57.0 | 342 | 1.1425 | | No log | 58.0 | 348 | 1.1166 | | No log | 59.0 | 354 | 1.1044 | | No log | 60.0 | 360 | 1.0913 | | No log | 61.0 | 366 | 1.0775 | | No log | 62.0 | 372 | 1.0694 | | No log | 63.0 | 378 | 1.0311 | | No log | 64.0 | 384 | 1.0272 | | No log | 65.0 | 390 | 1.0249 | | No log | 66.0 | 396 | 0.9923 | | No log | 67.0 | 402 | 0.9892 | | No log | 68.0 | 408 | 0.9762 | | No log | 69.0 | 414 | 0.9704 | | No log | 70.0 | 420 | 0.9405 | | No log | 71.0 | 426 | 0.9394 | | No log | 72.0 | 432 | 0.9237 | | No log | 73.0 | 438 | 0.9180 | | No log | 74.0 | 444 | 0.8926 | | No log | 75.0 | 450 | 0.9081 | | No log | 76.0 | 456 | 0.8778 | | No log | 77.0 | 462 | 0.8785 | | No log | 78.0 | 468 | 0.8580 | | No log | 79.0 | 474 | 0.8593 | | No log | 80.0 | 480 | 0.8553 | | No log | 81.0 | 486 | 0.8671 | | No log | 82.0 | 492 | 0.8422 | | No log | 83.0 | 498 | 0.8403 | | 2.0956 | 84.0 | 504 | 0.8355 | | 2.0956 | 85.0 | 510 | 0.8188 | | 2.0956 | 86.0 | 516 | 0.8149 | | 2.0956 | 87.0 | 522 | 0.8285 | | 2.0956 | 88.0 | 528 | 0.8063 | | 2.0956 | 89.0 | 534 | 0.8166 | | 2.0956 | 90.0 | 540 | 0.8008 | | 2.0956 | 91.0 | 546 | 0.8127 | | 2.0956 | 92.0 | 552 | 0.7921 | | 2.0956 | 93.0 | 558 | 0.8015 | | 2.0956 | 94.0 | 564 | 0.7882 | | 2.0956 | 95.0 | 570 | 0.7844 | | 2.0956 | 96.0 | 576 | 0.7862 | | 2.0956 | 97.0 | 582 | 0.7810 | | 2.0956 | 98.0 | 588 | 0.7808 | | 2.0956 | 99.0 | 594 | 0.7810 | | 2.0956 | 100.0 | 600 | 0.7800 | ### Framework versions - Transformers 4.37.2 - Pytorch 2.1.0+cu121 - Datasets 2.17.1 - Tokenizers 0.15.2