---
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: 0.1169

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9502        | 1.0   | 6    | 2.2802          |
| 2.0549        | 2.0   | 12   | 1.7738          |
| 1.5997        | 3.0   | 18   | 1.4024          |
| 1.2779        | 4.0   | 24   | 1.1706          |
| 1.0815        | 5.0   | 30   | 1.0180          |
| 0.9888        | 6.0   | 36   | 0.9056          |
| 0.8501        | 7.0   | 42   | 0.8061          |
| 0.8250        | 8.0   | 48   | 0.7222          |
| 0.7338        | 9.0   | 54   | 0.6823          |
| 0.6561        | 10.0  | 60   | 0.6417          |
| 0.6298        | 11.0  | 66   | 0.6212          |
| 0.6047        | 12.0  | 72   | 0.5623          |
| 0.5525        | 13.0  | 78   | 0.5455          |
| 0.5400        | 14.0  | 84   | 0.4992          |
| 0.5045        | 15.0  | 90   | 0.4876          |
| 0.4888        | 16.0  | 96   | 0.4948          |
| 0.4609        | 17.0  | 102  | 0.4694          |
| 0.4535        | 18.0  | 108  | 0.4192          |
| 0.4206        | 19.0  | 114  | 0.4057          |
| 0.4170        | 20.0  | 120  | 0.3800          |
| 0.3543        | 21.0  | 126  | 0.3535          |
| 0.3753        | 22.0  | 132  | 0.3321          |
| 0.3173        | 23.0  | 138  | 0.3216          |
| 0.3158        | 24.0  | 144  | 0.2960          |
| 0.3168        | 25.0  | 150  | 0.2865          |
| 0.2720        | 26.0  | 156  | 0.2633          |
| 0.2552        | 27.0  | 162  | 0.2425          |
| 0.2640        | 28.0  | 168  | 0.2167          |
| 0.2276        | 29.0  | 174  | 0.1935          |
| 0.2228        | 30.0  | 180  | 0.1803          |
| 0.2011        | 31.0  | 186  | 0.1693          |
| 0.1959        | 32.0  | 192  | 0.1507          |
| 0.1897        | 33.0  | 198  | 0.1418          |
| 0.1649        | 34.0  | 204  | 0.1337          |
| 0.1770        | 35.0  | 210  | 0.1313          |
| 0.1466        | 36.0  | 216  | 0.1262          |
| 0.1632        | 37.0  | 222  | 0.1231          |
| 0.1553        | 38.0  | 228  | 0.1192          |
| 0.1453        | 39.0  | 234  | 0.1173          |
| 0.1475        | 40.0  | 240  | 0.1169          |


### Framework versions

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