---
library_name: transformers
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 [](https://huggingface.co/) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1069

## 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: 0.0003
- 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: 70
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.1895        | 1.0   | 6    | 2.6427          |
| 2.5023        | 2.0   | 12   | 2.3194          |
| 2.2164        | 3.0   | 18   | 2.0818          |
| 1.9817        | 4.0   | 24   | 1.8459          |
| 1.7401        | 5.0   | 30   | 1.5845          |
| 1.4949        | 6.0   | 36   | 1.3665          |
| 1.3165        | 7.0   | 42   | 1.2362          |
| 1.1900        | 8.0   | 48   | 1.1268          |
| 1.0863        | 9.0   | 54   | 1.0420          |
| 1.0146        | 10.0  | 60   | 0.9612          |
| 0.9334        | 11.0  | 66   | 0.8996          |
| 0.8609        | 12.0  | 72   | 0.8165          |
| 0.7963        | 13.0  | 78   | 0.7590          |
| 0.7421        | 14.0  | 84   | 0.7111          |
| 0.7035        | 15.0  | 90   | 0.6801          |
| 0.6712        | 16.0  | 96   | 0.6426          |
| 0.6280        | 17.0  | 102  | 0.6165          |
| 0.6134        | 18.0  | 108  | 0.6010          |
| 0.5910        | 19.0  | 114  | 0.5739          |
| 0.5714        | 20.0  | 120  | 0.5586          |
| 0.5493        | 21.0  | 126  | 0.5467          |
| 0.5482        | 22.0  | 132  | 0.5332          |
| 0.5189        | 23.0  | 138  | 0.5065          |
| 0.5028        | 24.0  | 144  | 0.4866          |
| 0.4837        | 25.0  | 150  | 0.4671          |
| 0.4711        | 26.0  | 156  | 0.4461          |
| 0.4482        | 27.0  | 162  | 0.4298          |
| 0.4262        | 28.0  | 168  | 0.4064          |
| 0.4098        | 29.0  | 174  | 0.3933          |
| 0.3945        | 30.0  | 180  | 0.3733          |
| 0.3810        | 31.0  | 186  | 0.3547          |
| 0.3614        | 32.0  | 192  | 0.3353          |
| 0.3432        | 33.0  | 198  | 0.3179          |
| 0.3322        | 34.0  | 204  | 0.3003          |
| 0.3181        | 35.0  | 210  | 0.2997          |
| 0.3149        | 36.0  | 216  | 0.2767          |
| 0.2864        | 37.0  | 222  | 0.2600          |
| 0.2819        | 38.0  | 228  | 0.2418          |
| 0.2663        | 39.0  | 234  | 0.2296          |
| 0.2591        | 40.0  | 240  | 0.2176          |
| 0.2535        | 41.0  | 246  | 0.2106          |
| 0.2314        | 42.0  | 252  | 0.1970          |
| 0.2277        | 43.0  | 258  | 0.1849          |
| 0.2231        | 44.0  | 264  | 0.1754          |
| 0.2109        | 45.0  | 270  | 0.1750          |
| 0.1956        | 46.0  | 276  | 0.1640          |
| 0.1933        | 47.0  | 282  | 0.1597          |
| 0.1826        | 48.0  | 288  | 0.1556          |
| 0.1831        | 49.0  | 294  | 0.1550          |
| 0.1776        | 50.0  | 300  | 0.1436          |
| 0.1671        | 51.0  | 306  | 0.1417          |
| 0.1773        | 52.0  | 312  | 0.1349          |
| 0.1617        | 53.0  | 318  | 0.1311          |
| 0.1600        | 54.0  | 324  | 0.1333          |
| 0.1557        | 55.0  | 330  | 0.1274          |
| 0.1548        | 56.0  | 336  | 0.1231          |
| 0.1486        | 57.0  | 342  | 0.1217          |
| 0.1484        | 58.0  | 348  | 0.1201          |
| 0.1434        | 59.0  | 354  | 0.1169          |
| 0.1375        | 60.0  | 360  | 0.1179          |
| 0.1418        | 61.0  | 366  | 0.1142          |
| 0.1377        | 62.0  | 372  | 0.1119          |
| 0.1422        | 63.0  | 378  | 0.1115          |
| 0.1315        | 64.0  | 384  | 0.1104          |
| 0.1362        | 65.0  | 390  | 0.1106          |
| 0.1380        | 66.0  | 396  | 0.1084          |
| 0.1326        | 67.0  | 402  | 0.1072          |
| 0.1311        | 68.0  | 408  | 0.1078          |
| 0.1396        | 69.0  | 414  | 0.1073          |
| 0.1340        | 70.0  | 420  | 0.1069          |


### Framework versions

- Transformers 5.0.0
- Pytorch 2.10.0+cu128
- Datasets 4.0.0
- Tokenizers 0.22.2