---
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: 0.6968

## 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 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4016        | 1.0   | 6    | 2.7548          |
| 2.4113        | 2.0   | 12   | 1.9763          |
| 1.8198        | 3.0   | 18   | 1.7136          |
| 1.6501        | 4.0   | 24   | 1.5981          |
| 1.5935        | 5.0   | 30   | 1.8221          |
| 1.6315        | 6.0   | 36   | 1.5616          |
| 1.517         | 7.0   | 42   | 1.5486          |
| 1.5428        | 8.0   | 48   | 1.5514          |
| 1.5141        | 9.0   | 54   | 1.5408          |
| 1.4794        | 10.0  | 60   | 1.4949          |
| 1.4543        | 11.0  | 66   | 1.4572          |
| 1.3969        | 12.0  | 72   | 1.4083          |
| 1.3618        | 13.0  | 78   | 1.4682          |
| 1.3821        | 14.0  | 84   | 1.3403          |
| 1.3074        | 15.0  | 90   | 1.2534          |
| 1.2315        | 16.0  | 96   | 1.2563          |
| 1.1914        | 17.0  | 102  | 1.2468          |
| 1.1783        | 18.0  | 108  | 1.1124          |
| 1.1323        | 19.0  | 114  | 1.0756          |
| 1.0616        | 20.0  | 120  | 1.0507          |
| 1.0337        | 21.0  | 126  | 0.9989          |
| 0.9947        | 22.0  | 132  | 0.9760          |
| 0.9878        | 23.0  | 138  | 0.9351          |
| 0.942         | 24.0  | 144  | 0.9184          |
| 0.928         | 25.0  | 150  | 0.9415          |
| 0.9594        | 26.0  | 156  | 0.8797          |
| 0.9115        | 27.0  | 162  | 0.8550          |
| 0.8768        | 28.0  | 168  | 0.8376          |
| 0.8587        | 29.0  | 174  | 0.8375          |
| 0.8481        | 30.0  | 180  | 0.8013          |
| 0.8344        | 31.0  | 186  | 0.8112          |
| 0.8215        | 32.0  | 192  | 0.7831          |
| 0.8095        | 33.0  | 198  | 0.7643          |
| 0.7946        | 34.0  | 204  | 0.7568          |
| 0.7808        | 35.0  | 210  | 0.7311          |
| 0.7696        | 36.0  | 216  | 0.7247          |
| 0.75          | 37.0  | 222  | 0.7109          |
| 0.7464        | 38.0  | 228  | 0.7044          |
| 0.7408        | 39.0  | 234  | 0.6994          |
| 0.7476        | 40.0  | 240  | 0.6968          |


### Framework versions

- Transformers 4.50.2
- Pytorch 2.6.0+cu124
- Datasets 3.5.0
- Tokenizers 0.21.1