---
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: 0.1067

## 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: 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: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9472        | 1.0   | 6    | 2.2628          |
| 2.0366        | 2.0   | 12   | 1.7642          |
| 1.5645        | 3.0   | 18   | 1.3854          |
| 1.2543        | 4.0   | 24   | 1.1356          |
| 1.0465        | 5.0   | 30   | 1.0000          |
| 0.9275        | 6.0   | 36   | 0.8717          |
| 0.8314        | 7.0   | 42   | 0.7647          |
| 0.7834        | 8.0   | 48   | 0.7636          |
| 0.7211        | 9.0   | 54   | 0.6759          |
| 0.6548        | 10.0  | 60   | 0.6257          |
| 0.6005        | 11.0  | 66   | 0.6371          |
| 0.6133        | 12.0  | 72   | 0.6054          |
| 0.5681        | 13.0  | 78   | 0.5610          |
| 0.5576        | 14.0  | 84   | 0.5441          |
| 0.5279        | 15.0  | 90   | 0.4975          |
| 0.4981        | 16.0  | 96   | 0.4773          |
| 0.4508        | 17.0  | 102  | 0.4559          |
| 0.4491        | 18.0  | 108  | 0.4150          |
| 0.4122        | 19.0  | 114  | 0.4092          |
| 0.3865        | 20.0  | 120  | 0.3901          |
| 0.3667        | 21.0  | 126  | 0.3332          |
| 0.3287        | 22.0  | 132  | 0.3279          |
| 0.3177        | 23.0  | 138  | 0.2912          |
| 0.2865        | 24.0  | 144  | 0.2619          |
| 0.2658        | 25.0  | 150  | 0.2492          |
| 0.2669        | 26.0  | 156  | 0.2297          |
| 0.2491        | 27.0  | 162  | 0.2012          |
| 0.2140        | 28.0  | 168  | 0.1816          |
| 0.2039        | 29.0  | 174  | 0.1664          |
| 0.1917        | 30.0  | 180  | 0.1593          |
| 0.1792        | 31.0  | 186  | 0.1406          |
| 0.1558        | 32.0  | 192  | 0.1353          |
| 0.1507        | 33.0  | 198  | 0.1392          |
| 0.1538        | 34.0  | 204  | 0.1245          |
| 0.1550        | 35.0  | 210  | 0.1156          |
| 0.1298        | 36.0  | 216  | 0.1170          |
| 0.1377        | 37.0  | 222  | 0.1142          |
| 0.1428        | 38.0  | 228  | 0.1121          |
| 0.1332        | 39.0  | 234  | 0.1076          |
| 0.1255        | 40.0  | 240  | 0.1067          |


### Framework versions

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