---
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: 0.2172

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0547        | 1.0   | 6    | 2.3235          |
| 2.0645        | 2.0   | 12   | 1.8699          |
| 1.6975        | 3.0   | 18   | 1.5582          |
| 1.4058        | 4.0   | 24   | 1.2875          |
| 1.1930        | 5.0   | 30   | 1.0846          |
| 1.0571        | 6.0   | 36   | 1.0523          |
| 0.9713        | 7.0   | 42   | 0.9177          |
| 0.8768        | 8.0   | 48   | 0.9016          |
| 0.8688        | 9.0   | 54   | 0.8003          |
| 0.7712        | 10.0  | 60   | 0.7546          |
| 0.7255        | 11.0  | 66   | 0.6924          |
| 0.6674        | 12.0  | 72   | 0.6362          |
| 0.6104        | 13.0  | 78   | 0.6404          |
| 0.5723        | 14.0  | 84   | 0.5483          |
| 0.5251        | 15.0  | 90   | 0.5152          |
| 0.5100        | 16.0  | 96   | 0.4806          |
| 0.4442        | 17.0  | 102  | 0.4510          |
| 0.4643        | 18.0  | 108  | 0.4321          |
| 0.4391        | 19.0  | 114  | 0.4565          |
| 0.4395        | 20.0  | 120  | 0.4186          |
| 0.4202        | 21.0  | 126  | 0.3869          |
| 0.4038        | 22.0  | 132  | 0.3577          |
| 0.3632        | 23.0  | 138  | 0.3645          |
| 0.3682        | 24.0  | 144  | 0.3557          |
| 0.3688        | 25.0  | 150  | 0.3535          |
| 0.3548        | 26.0  | 156  | 0.3524          |
| 0.3401        | 27.0  | 162  | 0.3203          |
| 0.3440        | 28.0  | 168  | 0.3018          |
| 0.3059        | 29.0  | 174  | 0.2777          |
| 0.2963        | 30.0  | 180  | 0.2761          |
| 0.2960        | 31.0  | 186  | 0.2661          |
| 0.2681        | 32.0  | 192  | 0.2570          |
| 0.2578        | 33.0  | 198  | 0.2479          |
| 0.2549        | 34.0  | 204  | 0.2413          |
| 0.2702        | 35.0  | 210  | 0.2329          |
| 0.2488        | 36.0  | 216  | 0.2267          |
| 0.2550        | 37.0  | 222  | 0.2219          |
| 0.2324        | 38.0  | 228  | 0.2206          |
| 0.2294        | 39.0  | 234  | 0.2190          |
| 0.2242        | 40.0  | 240  | 0.2172          |


### Framework versions

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