---
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: 2.4280

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9289        | 1.0   | 6    | 2.2631          |
| 2.0248        | 2.0   | 12   | 1.8559          |
| 1.6028        | 3.0   | 18   | 1.7034          |
| 1.2773        | 4.0   | 24   | 1.6626          |
| 1.0862        | 5.0   | 30   | 1.6454          |
| 0.9687        | 6.0   | 36   | 1.8670          |
| 0.8858        | 7.0   | 42   | 1.8190          |
| 0.7782        | 8.0   | 48   | 2.0888          |
| 0.7379        | 9.0   | 54   | 2.1530          |
| 0.7093        | 10.0  | 60   | 2.1941          |
| 0.6654        | 11.0  | 66   | 2.0807          |
| 0.6296        | 12.0  | 72   | 2.1993          |
| 0.5963        | 13.0  | 78   | 2.2719          |
| 0.5661        | 14.0  | 84   | 2.2821          |
| 0.5392        | 15.0  | 90   | 2.2940          |
| 0.5209        | 16.0  | 96   | 2.3435          |
| 0.4862        | 17.0  | 102  | 2.3659          |
| 0.4886        | 18.0  | 108  | 2.4129          |
| 0.4668        | 19.0  | 114  | 2.5027          |
| 0.4577        | 20.0  | 120  | 2.5144          |
| 0.4426        | 21.0  | 126  | 2.4393          |
| 0.4198        | 22.0  | 132  | 2.4533          |
| 0.4200        | 23.0  | 138  | 2.4996          |
| 0.3980        | 24.0  | 144  | 2.4961          |
| 0.3715        | 25.0  | 150  | 2.4773          |
| 0.3642        | 26.0  | 156  | 2.4326          |
| 0.3530        | 27.0  | 162  | 2.4626          |
| 0.3300        | 28.0  | 168  | 2.4540          |
| 0.3190        | 29.0  | 174  | 2.4593          |
| 0.3125        | 30.0  | 180  | 2.4535          |
| 0.3008        | 31.0  | 186  | 2.4917          |
| 0.2989        | 32.0  | 192  | 2.4753          |
| 0.2802        | 33.0  | 198  | 2.4765          |
| 0.2677        | 34.0  | 204  | 2.4505          |
| 0.2569        | 35.0  | 210  | 2.4462          |
| 0.2535        | 36.0  | 216  | 2.4243          |
| 0.2586        | 37.0  | 222  | 2.4185          |
| 0.2421        | 38.0  | 228  | 2.4217          |
| 0.2463        | 39.0  | 234  | 2.4261          |
| 0.2430        | 40.0  | 240  | 2.4280          |


### Framework versions

- Transformers 5.2.0
- Pytorch 2.10.0
- Datasets 4.6.1
- Tokenizers 0.22.2