---
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: 0.0094

## 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9219        | 1.0   | 6    | 2.2235          |
| 1.9996        | 2.0   | 12   | 1.6925          |
| 1.4545        | 3.0   | 18   | 1.1007          |
| 0.9701        | 4.0   | 24   | 0.8044          |
| 0.7563        | 5.0   | 30   | 0.6572          |
| 0.5984        | 6.0   | 36   | 0.6227          |
| 0.5377        | 7.0   | 42   | 0.4585          |
| 0.442         | 8.0   | 48   | 0.3971          |
| 0.375         | 9.0   | 54   | 0.3378          |
| 0.3181        | 10.0  | 60   | 0.2967          |
| 0.2961        | 11.0  | 66   | 0.2787          |
| 0.2671        | 12.0  | 72   | 0.2398          |
| 0.2469        | 13.0  | 78   | 0.2102          |
| 0.2154        | 14.0  | 84   | 0.2098          |
| 0.2032        | 15.0  | 90   | 0.1873          |
| 0.1822        | 16.0  | 96   | 0.1632          |
| 0.1658        | 17.0  | 102  | 0.1475          |
| 0.1575        | 18.0  | 108  | 0.1309          |
| 0.1424        | 19.0  | 114  | 0.1175          |
| 0.1256        | 20.0  | 120  | 0.0999          |
| 0.1027        | 21.0  | 126  | 0.0867          |
| 0.0968        | 22.0  | 132  | 0.0781          |
| 0.0772        | 23.0  | 138  | 0.0648          |
| 0.0703        | 24.0  | 144  | 0.0522          |
| 0.0591        | 25.0  | 150  | 0.0427          |
| 0.0531        | 26.0  | 156  | 0.0322          |
| 0.0465        | 27.0  | 162  | 0.0296          |
| 0.0486        | 28.0  | 168  | 0.0284          |
| 0.0392        | 29.0  | 174  | 0.0280          |
| 0.0333        | 30.0  | 180  | 0.0264          |
| 0.0327        | 31.0  | 186  | 0.0172          |
| 0.0274        | 32.0  | 192  | 0.0175          |
| 0.0251        | 33.0  | 198  | 0.0149          |
| 0.0236        | 34.0  | 204  | 0.0143          |
| 0.0211        | 35.0  | 210  | 0.0115          |
| 0.0197        | 36.0  | 216  | 0.0106          |
| 0.0182        | 37.0  | 222  | 0.0111          |
| 0.0164        | 38.0  | 228  | 0.0105          |
| 0.0172        | 39.0  | 234  | 0.0097          |
| 0.0162        | 40.0  | 240  | 0.0094          |


### Framework versions

- Transformers 4.45.0
- Pytorch 2.5.1+cu124
- Datasets 3.3.2
- Tokenizers 0.20.3