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---
tags:
- generated_from_trainer
model-index:
- name: calculator_model_test_third_version
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_third_version
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: 0.1341
## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 100
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4031 | 1.0 | 6 | 2.7477 |
| 2.3423 | 2.0 | 12 | 2.0656 |
| 1.7839 | 3.0 | 18 | 1.6402 |
| 1.6119 | 4.0 | 24 | 1.5371 |
| 1.544 | 5.0 | 30 | 1.4939 |
| 1.4631 | 6.0 | 36 | 1.4346 |
| 1.4052 | 7.0 | 42 | 1.3510 |
| 1.3137 | 8.0 | 48 | 1.2456 |
| 1.2297 | 9.0 | 54 | 1.2067 |
| 1.2454 | 10.0 | 60 | 1.2082 |
| 1.121 | 11.0 | 66 | 1.0614 |
| 1.0353 | 12.0 | 72 | 0.9978 |
| 1.0028 | 13.0 | 78 | 1.0926 |
| 0.993 | 14.0 | 84 | 0.9551 |
| 0.9267 | 15.0 | 90 | 0.9013 |
| 0.8728 | 16.0 | 96 | 0.9764 |
| 0.9072 | 17.0 | 102 | 0.8508 |
| 0.8457 | 18.0 | 108 | 0.8541 |
| 0.8278 | 19.0 | 114 | 0.7950 |
| 0.7903 | 20.0 | 120 | 0.7892 |
| 0.7726 | 21.0 | 126 | 0.7708 |
| 0.7789 | 22.0 | 132 | 0.7830 |
| 0.7515 | 23.0 | 138 | 0.8062 |
| 0.7691 | 24.0 | 144 | 0.7276 |
| 0.7203 | 25.0 | 150 | 0.7205 |
| 0.7119 | 26.0 | 156 | 0.7131 |
| 0.6776 | 27.0 | 162 | 0.6892 |
| 0.6926 | 28.0 | 168 | 0.7582 |
| 0.7128 | 29.0 | 174 | 0.9174 |
| 0.8055 | 30.0 | 180 | 0.7222 |
| 0.7423 | 31.0 | 186 | 0.6740 |
| 0.6712 | 32.0 | 192 | 0.7917 |
| 0.6965 | 33.0 | 198 | 0.6726 |
| 0.652 | 34.0 | 204 | 0.7449 |
| 0.6963 | 35.0 | 210 | 0.6932 |
| 0.6652 | 36.0 | 216 | 0.6286 |
| 0.6164 | 37.0 | 222 | 0.5777 |
| 0.5848 | 38.0 | 228 | 0.5556 |
| 0.5657 | 39.0 | 234 | 0.5788 |
| 0.5631 | 40.0 | 240 | 0.5216 |
| 0.5315 | 41.0 | 246 | 0.5156 |
| 0.5277 | 42.0 | 252 | 0.5486 |
| 0.5498 | 43.0 | 258 | 0.4877 |
| 0.4836 | 44.0 | 264 | 0.5947 |
| 0.555 | 45.0 | 270 | 0.4725 |
| 0.4804 | 46.0 | 276 | 0.4367 |
| 0.4537 | 47.0 | 282 | 0.4729 |
| 0.4668 | 48.0 | 288 | 0.3988 |
| 0.4507 | 49.0 | 294 | 0.4808 |
| 0.5128 | 50.0 | 300 | 0.4311 |
| 0.4444 | 51.0 | 306 | 0.4709 |
| 0.4538 | 52.0 | 312 | 0.3786 |
| 0.4213 | 53.0 | 318 | 0.3962 |
| 0.4067 | 54.0 | 324 | 0.3765 |
| 0.3931 | 55.0 | 330 | 0.4016 |
| 0.3946 | 56.0 | 336 | 0.3674 |
| 0.4095 | 57.0 | 342 | 0.3445 |
| 0.3817 | 58.0 | 348 | 0.3252 |
| 0.3528 | 59.0 | 354 | 0.3171 |
| 0.3527 | 60.0 | 360 | 0.3465 |
| 0.3562 | 61.0 | 366 | 0.3992 |
| 0.4265 | 62.0 | 372 | 0.3743 |
| 0.3734 | 63.0 | 378 | 0.3598 |
| 0.3585 | 64.0 | 384 | 0.3008 |
| 0.3438 | 65.0 | 390 | 0.2719 |
| 0.3289 | 66.0 | 396 | 0.2876 |
| 0.3128 | 67.0 | 402 | 0.2764 |
| 0.3106 | 68.0 | 408 | 0.2986 |
| 0.3058 | 69.0 | 414 | 0.2567 |
| 0.286 | 70.0 | 420 | 0.2762 |
| 0.2857 | 71.0 | 426 | 0.2732 |
| 0.2921 | 72.0 | 432 | 0.2728 |
| 0.3118 | 73.0 | 438 | 0.2352 |
| 0.2701 | 74.0 | 444 | 0.2204 |
| 0.2622 | 75.0 | 450 | 0.2114 |
| 0.2449 | 76.0 | 456 | 0.2262 |
| 0.2542 | 77.0 | 462 | 0.2446 |
| 0.259 | 78.0 | 468 | 0.2187 |
| 0.2852 | 79.0 | 474 | 0.2329 |
| 0.2587 | 80.0 | 480 | 0.2101 |
| 0.2491 | 81.0 | 486 | 0.2165 |
| 0.2291 | 82.0 | 492 | 0.1921 |
| 0.2286 | 83.0 | 498 | 0.1815 |
| 0.2095 | 84.0 | 504 | 0.1700 |
| 0.2256 | 85.0 | 510 | 0.1640 |
| 0.2088 | 86.0 | 516 | 0.1848 |
| 0.2087 | 87.0 | 522 | 0.1745 |
| 0.2025 | 88.0 | 528 | 0.1655 |
| 0.2003 | 89.0 | 534 | 0.1717 |
| 0.2007 | 90.0 | 540 | 0.1682 |
| 0.1862 | 91.0 | 546 | 0.1629 |
| 0.2005 | 92.0 | 552 | 0.1482 |
| 0.2003 | 93.0 | 558 | 0.1600 |
| 0.1876 | 94.0 | 564 | 0.1498 |
| 0.1929 | 95.0 | 570 | 0.1405 |
| 0.1772 | 96.0 | 576 | 0.1404 |
| 0.1797 | 97.0 | 582 | 0.1366 |
| 0.1734 | 98.0 | 588 | 0.1352 |
| 0.1686 | 99.0 | 594 | 0.1345 |
| 0.177 | 100.0 | 600 | 0.1341 |
### Framework versions
- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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