---
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: 1.5025

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.4213        | 1.0   | 6    | 2.7742          |
| 2.3873        | 2.0   | 12   | 1.9848          |
| 1.8855        | 3.0   | 18   | 1.6983          |
| 1.6818        | 4.0   | 24   | 1.5908          |
| 1.5942        | 5.0   | 30   | 1.5682          |
| 1.5581        | 6.0   | 36   | 1.5332          |
| 1.5573        | 7.0   | 42   | 1.5375          |
| 1.5423        | 8.0   | 48   | 1.5241          |
| 1.5435        | 9.0   | 54   | 1.5207          |
| 1.5402        | 10.0  | 60   | 1.5169          |
| 1.5330        | 11.0  | 66   | 1.5100          |
| 1.5252        | 12.0  | 72   | 1.5091          |
| 1.5234        | 13.0  | 78   | 1.5080          |
| 1.5284        | 14.0  | 84   | 1.5142          |
| 1.5221        | 15.0  | 90   | 1.5212          |
| 1.5305        | 16.0  | 96   | 1.5103          |
| 1.5199        | 17.0  | 102  | 1.5069          |
| 1.5174        | 18.0  | 108  | 1.5121          |
| 1.5104        | 19.0  | 114  | 1.5072          |
| 1.5197        | 20.0  | 120  | 1.5043          |
| 1.5101        | 21.0  | 126  | 1.5044          |
| 1.5145        | 22.0  | 132  | 1.5040          |
| 1.5226        | 23.0  | 138  | 1.5058          |
| 1.5299        | 24.0  | 144  | 1.5069          |
| 1.5290        | 25.0  | 150  | 1.5061          |
| 1.5070        | 26.0  | 156  | 1.5067          |
| 1.5077        | 27.0  | 162  | 1.5066          |
| 1.5240        | 28.0  | 168  | 1.5030          |
| 1.5344        | 29.0  | 174  | 1.5010          |
| 1.5148        | 30.0  | 180  | 1.5009          |
| 1.5182        | 31.0  | 186  | 1.5029          |
| 1.5158        | 32.0  | 192  | 1.5058          |
| 1.5093        | 33.0  | 198  | 1.5057          |
| 1.5149        | 34.0  | 204  | 1.5037          |
| 1.5098        | 35.0  | 210  | 1.5022          |
| 1.5095        | 36.0  | 216  | 1.5020          |
| 1.5085        | 37.0  | 222  | 1.5021          |
| 1.5091        | 38.0  | 228  | 1.5020          |
| 1.5020        | 39.0  | 234  | 1.5025          |
| 1.5103        | 40.0  | 240  | 1.5025          |


### Framework versions

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