---
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: 0.0681

## 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
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0932        | 1.0   | 6    | 2.3284          |
| 2.0708        | 2.0   | 12   | 1.7597          |
| 1.6188        | 3.0   | 18   | 1.4260          |
| 1.2984        | 4.0   | 24   | 1.1225          |
| 1.0571        | 5.0   | 30   | 0.9371          |
| 0.9006        | 6.0   | 36   | 0.8191          |
| 0.8187        | 7.0   | 42   | 0.7260          |
| 0.7281        | 8.0   | 48   | 0.6762          |
| 0.6804        | 9.0   | 54   | 0.6348          |
| 0.6251        | 10.0  | 60   | 0.5609          |
| 0.5701        | 11.0  | 66   | 0.5090          |
| 0.5325        | 12.0  | 72   | 0.4674          |
| 0.4973        | 13.0  | 78   | 0.4407          |
| 0.4619        | 14.0  | 84   | 0.4090          |
| 0.4408        | 15.0  | 90   | 0.3996          |
| 0.4311        | 16.0  | 96   | 0.4260          |
| 0.4237        | 17.0  | 102  | 0.3490          |
| 0.3734        | 18.0  | 108  | 0.3225          |
| 0.3387        | 19.0  | 114  | 0.2895          |
| 0.3111        | 20.0  | 120  | 0.2506          |
| 0.2790        | 21.0  | 126  | 0.2317          |
| 0.2652        | 22.0  | 132  | 0.2102          |
| 0.2521        | 23.0  | 138  | 0.1889          |
| 0.2293        | 24.0  | 144  | 0.1697          |
| 0.2031        | 25.0  | 150  | 0.1413          |
| 0.1844        | 26.0  | 156  | 0.1269          |
| 0.1856        | 27.0  | 162  | 0.1358          |
| 0.1787        | 28.0  | 168  | 0.1104          |
| 0.1549        | 29.0  | 174  | 0.1175          |
| 0.1644        | 30.0  | 180  | 0.1034          |
| 0.1406        | 31.0  | 186  | 0.0931          |
| 0.1379        | 32.0  | 192  | 0.0888          |
| 0.1299        | 33.0  | 198  | 0.0916          |
| 0.1265        | 34.0  | 204  | 0.0809          |
| 0.1216        | 35.0  | 210  | 0.0747          |
| 0.1160        | 36.0  | 216  | 0.0725          |
| 0.1106        | 37.0  | 222  | 0.0707          |
| 0.1092        | 38.0  | 228  | 0.0686          |
| 0.1076        | 39.0  | 234  | 0.0689          |
| 0.1113        | 40.0  | 240  | 0.0681          |


### Framework versions

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