---
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: 0.0074

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7828        | 1.0   | 6    | 2.0687          |
| 1.7850        | 2.0   | 12   | 1.3799          |
| 1.1680        | 3.0   | 18   | 0.9251          |
| 0.8524        | 4.0   | 24   | 0.8014          |
| 0.7640        | 5.0   | 30   | 0.7196          |
| 0.6746        | 6.0   | 36   | 0.6506          |
| 0.5984        | 7.0   | 42   | 0.5609          |
| 0.5341        | 8.0   | 48   | 0.5140          |
| 0.4857        | 9.0   | 54   | 0.4675          |
| 0.4357        | 10.0  | 60   | 0.4175          |
| 0.3966        | 11.0  | 66   | 0.3690          |
| 0.3566        | 12.0  | 72   | 0.3337          |
| 0.3136        | 13.0  | 78   | 0.2890          |
| 0.2728        | 14.0  | 84   | 0.2274          |
| 0.2186        | 15.0  | 90   | 0.1968          |
| 0.1854        | 16.0  | 96   | 0.1546          |
| 0.1514        | 17.0  | 102  | 0.1240          |
| 0.1256        | 18.0  | 108  | 0.0980          |
| 0.1096        | 19.0  | 114  | 0.0838          |
| 0.0973        | 20.0  | 120  | 0.0623          |
| 0.0709        | 21.0  | 126  | 0.0514          |
| 0.0586        | 22.0  | 132  | 0.0419          |
| 0.0513        | 23.0  | 138  | 0.0342          |
| 0.0414        | 24.0  | 144  | 0.0265          |
| 0.0354        | 25.0  | 150  | 0.0225          |
| 0.0316        | 26.0  | 156  | 0.0193          |
| 0.0279        | 27.0  | 162  | 0.0161          |
| 0.0254        | 28.0  | 168  | 0.0156          |
| 0.0228        | 29.0  | 174  | 0.0130          |
| 0.0202        | 30.0  | 180  | 0.0111          |
| 0.0176        | 31.0  | 186  | 0.0104          |
| 0.0169        | 32.0  | 192  | 0.0094          |
| 0.0146        | 33.0  | 198  | 0.0092          |
| 0.0141        | 34.0  | 204  | 0.0085          |
| 0.0150        | 35.0  | 210  | 0.0083          |
| 0.0135        | 36.0  | 216  | 0.0080          |
| 0.0144        | 37.0  | 222  | 0.0078          |
| 0.0134        | 38.0  | 228  | 0.0076          |
| 0.0129        | 39.0  | 234  | 0.0074          |
| 0.0120        | 40.0  | 240  | 0.0074          |


### Framework versions

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