---
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: 0.2789

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4163        | 1.0   | 6    | 2.7578          |
| 2.3764        | 2.0   | 12   | 1.9673          |
| 1.794         | 3.0   | 18   | 1.6871          |
| 1.682         | 4.0   | 24   | 1.6571          |
| 1.6127        | 5.0   | 30   | 1.5569          |
| 1.5398        | 6.0   | 36   | 1.5012          |
| 1.5125        | 7.0   | 42   | 1.5110          |
| 1.521         | 8.0   | 48   | 1.4432          |
| 1.4421        | 9.0   | 54   | 1.3939          |
| 1.3958        | 10.0  | 60   | 1.3717          |
| 1.3615        | 11.0  | 66   | 1.2885          |
| 1.2466        | 12.0  | 72   | 1.2391          |
| 1.2277        | 13.0  | 78   | 1.1908          |
| 1.1821        | 14.0  | 84   | 1.2211          |
| 1.1512        | 15.0  | 90   | 1.1313          |
| 1.1268        | 16.0  | 96   | 1.0571          |
| 1.0752        | 17.0  | 102  | 1.0546          |
| 1.0988        | 18.0  | 108  | 1.0526          |
| 1.0499        | 19.0  | 114  | 1.0063          |
| 0.9957        | 20.0  | 120  | 0.9662          |
| 1.0018        | 21.0  | 126  | 0.9062          |
| 0.9747        | 22.0  | 132  | 0.9273          |
| 0.9545        | 23.0  | 138  | 1.0973          |
| 1.0842        | 24.0  | 144  | 1.1854          |
| 1.0838        | 25.0  | 150  | 1.0031          |
| 0.9812        | 26.0  | 156  | 1.0129          |
| 1.0154        | 27.0  | 162  | 0.9693          |
| 0.9441        | 28.0  | 168  | 0.8257          |
| 0.863         | 29.0  | 174  | 0.8138          |
| 0.8591        | 30.0  | 180  | 0.8746          |
| 0.8913        | 31.0  | 186  | 0.8592          |
| 0.8719        | 32.0  | 192  | 0.7773          |
| 0.8187        | 33.0  | 198  | 0.7999          |
| 0.8013        | 34.0  | 204  | 0.7491          |
| 0.7976        | 35.0  | 210  | 0.7171          |
| 0.8033        | 36.0  | 216  | 0.7610          |
| 0.7785        | 37.0  | 222  | 0.8047          |
| 0.8141        | 38.0  | 228  | 0.7245          |
| 0.7726        | 39.0  | 234  | 0.6725          |
| 0.7832        | 40.0  | 240  | 0.8410          |
| 0.8625        | 41.0  | 246  | 0.7093          |
| 0.7307        | 42.0  | 252  | 0.6675          |
| 0.6832        | 43.0  | 258  | 0.6891          |
| 0.7126        | 44.0  | 264  | 0.7927          |
| 0.7808        | 45.0  | 270  | 0.7757          |
| 0.8031        | 46.0  | 276  | 0.6749          |
| 0.728         | 47.0  | 282  | 0.7299          |
| 0.741         | 48.0  | 288  | 0.6062          |
| 0.6772        | 49.0  | 294  | 0.6449          |
| 0.6505        | 50.0  | 300  | 0.6041          |
| 0.6315        | 51.0  | 306  | 0.5769          |
| 0.6339        | 52.0  | 312  | 0.6003          |
| 0.6388        | 53.0  | 318  | 0.6115          |
| 0.6436        | 54.0  | 324  | 0.5778          |
| 0.5993        | 55.0  | 330  | 0.5777          |
| 0.5936        | 56.0  | 336  | 0.5614          |
| 0.5873        | 57.0  | 342  | 0.5445          |
| 0.5819        | 58.0  | 348  | 0.5437          |
| 0.5523        | 59.0  | 354  | 0.4961          |
| 0.5527        | 60.0  | 360  | 0.4939          |
| 0.5622        | 61.0  | 366  | 0.4922          |
| 0.5603        | 62.0  | 372  | 0.5252          |
| 0.612         | 63.0  | 378  | 0.5024          |
| 0.6284        | 64.0  | 384  | 0.5152          |
| 0.573         | 65.0  | 390  | 0.5300          |
| 0.5407        | 66.0  | 396  | 0.4879          |
| 0.5266        | 67.0  | 402  | 0.4813          |
| 0.526         | 68.0  | 408  | 0.4341          |
| 0.5306        | 69.0  | 414  | 0.4817          |
| 0.5108        | 70.0  | 420  | 0.4127          |
| 0.5079        | 71.0  | 426  | 0.5083          |
| 0.5237        | 72.0  | 432  | 0.4423          |
| 0.5049        | 73.0  | 438  | 0.4948          |
| 0.491         | 74.0  | 444  | 0.4121          |
| 0.484         | 75.0  | 450  | 0.4047          |
| 0.4668        | 76.0  | 456  | 0.4041          |
| 0.4669        | 77.0  | 462  | 0.3987          |
| 0.4524        | 78.0  | 468  | 0.4115          |
| 0.4604        | 79.0  | 474  | 0.3926          |
| 0.4536        | 80.0  | 480  | 0.3970          |
| 0.4747        | 81.0  | 486  | 0.3674          |
| 0.4417        | 82.0  | 492  | 0.3905          |
| 0.458         | 83.0  | 498  | 0.4045          |
| 0.4393        | 84.0  | 504  | 0.3889          |
| 0.431         | 85.0  | 510  | 0.3427          |
| 0.4076        | 86.0  | 516  | 0.3621          |
| 0.4239        | 87.0  | 522  | 0.3368          |
| 0.4089        | 88.0  | 528  | 0.3353          |
| 0.3936        | 89.0  | 534  | 0.3253          |
| 0.3899        | 90.0  | 540  | 0.3173          |
| 0.3792        | 91.0  | 546  | 0.3065          |
| 0.3774        | 92.0  | 552  | 0.3060          |
| 0.3677        | 93.0  | 558  | 0.3063          |
| 0.3655        | 94.0  | 564  | 0.2909          |
| 0.3608        | 95.0  | 570  | 0.2944          |
| 0.3561        | 96.0  | 576  | 0.2842          |
| 0.3593        | 97.0  | 582  | 0.2906          |
| 0.357         | 98.0  | 588  | 0.2800          |
| 0.3558        | 99.0  | 594  | 0.2751          |
| 0.3456        | 100.0 | 600  | 0.2789          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2