---
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