---
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: 0.0811

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9776        | 1.0   | 6    | 2.2338          |
| 2.0137        | 2.0   | 12   | 1.7343          |
| 1.5786        | 3.0   | 18   | 1.3472          |
| 1.2457        | 4.0   | 24   | 1.0998          |
| 1.0472        | 5.0   | 30   | 1.0031          |
| 0.9384        | 6.0   | 36   | 0.8653          |
| 0.8173        | 7.0   | 42   | 0.7479          |
| 0.7478        | 8.0   | 48   | 0.7076          |
| 0.6777        | 9.0   | 54   | 0.6401          |
| 0.6439        | 10.0  | 60   | 0.5758          |
| 0.5733        | 11.0  | 66   | 0.5338          |
| 0.5459        | 12.0  | 72   | 0.5289          |
| 0.5389        | 13.0  | 78   | 0.4816          |
| 0.4900        | 14.0  | 84   | 0.4525          |
| 0.4634        | 15.0  | 90   | 0.4408          |
| 0.4486        | 16.0  | 96   | 0.4086          |
| 0.4222        | 17.0  | 102  | 0.3999          |
| 0.4134        | 18.0  | 108  | 0.3542          |
| 0.3664        | 19.0  | 114  | 0.3412          |
| 0.3552        | 20.0  | 120  | 0.3342          |
| 0.3430        | 21.0  | 126  | 0.2933          |
| 0.3136        | 22.0  | 132  | 0.2505          |
| 0.2884        | 23.0  | 138  | 0.2319          |
| 0.2694        | 24.0  | 144  | 0.2140          |
| 0.2444        | 25.0  | 150  | 0.1982          |
| 0.2260        | 26.0  | 156  | 0.1673          |
| 0.2047        | 27.0  | 162  | 0.1553          |
| 0.2054        | 28.0  | 168  | 0.1375          |
| 0.1868        | 29.0  | 174  | 0.1267          |
| 0.1679        | 30.0  | 180  | 0.1165          |
| 0.1555        | 31.0  | 186  | 0.1120          |
| 0.1533        | 32.0  | 192  | 0.1032          |
| 0.1422        | 33.0  | 198  | 0.0982          |
| 0.1332        | 34.0  | 204  | 0.0978          |
| 0.1335        | 35.0  | 210  | 0.0920          |
| 0.1256        | 36.0  | 216  | 0.0900          |
| 0.1311        | 37.0  | 222  | 0.0879          |
| 0.1185        | 38.0  | 228  | 0.0830          |
| 0.1171        | 39.0  | 234  | 0.0816          |
| 0.1154        | 40.0  | 240  | 0.0811          |


### Framework versions

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