---
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: 0.0047

## 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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.7292        | 1.0   | 6    | 2.1173          |
| 1.7871        | 2.0   | 12   | 1.3767          |
| 1.1487        | 3.0   | 18   | 0.9345          |
| 0.8396        | 4.0   | 24   | 0.8010          |
| 0.741         | 5.0   | 30   | 0.6938          |
| 0.617         | 6.0   | 36   | 0.6118          |
| 0.5495        | 7.0   | 42   | 0.5396          |
| 0.4991        | 8.0   | 48   | 0.4896          |
| 0.4526        | 9.0   | 54   | 0.4333          |
| 0.3899        | 10.0  | 60   | 0.3730          |
| 0.331         | 11.0  | 66   | 0.3093          |
| 0.2617        | 12.0  | 72   | 0.2348          |
| 0.2112        | 13.0  | 78   | 0.1729          |
| 0.1642        | 14.0  | 84   | 0.1352          |
| 0.1285        | 15.0  | 90   | 0.1043          |
| 0.1063        | 16.0  | 96   | 0.0811          |
| 0.0806        | 17.0  | 102  | 0.0593          |
| 0.0617        | 18.0  | 108  | 0.0429          |
| 0.0519        | 19.0  | 114  | 0.0305          |
| 0.0372        | 20.0  | 120  | 0.0230          |
| 0.0323        | 21.0  | 126  | 0.0191          |
| 0.0255        | 22.0  | 132  | 0.0152          |
| 0.0219        | 23.0  | 138  | 0.0134          |
| 0.0202        | 24.0  | 144  | 0.0118          |
| 0.0161        | 25.0  | 150  | 0.0105          |
| 0.0154        | 26.0  | 156  | 0.0087          |
| 0.0126        | 27.0  | 162  | 0.0077          |
| 0.0115        | 28.0  | 168  | 0.0069          |
| 0.0104        | 29.0  | 174  | 0.0064          |
| 0.0121        | 30.0  | 180  | 0.0061          |
| 0.0113        | 31.0  | 186  | 0.0062          |
| 0.0105        | 32.0  | 192  | 0.0059          |
| 0.0103        | 33.0  | 198  | 0.0057          |
| 0.0097        | 34.0  | 204  | 0.0052          |
| 0.0088        | 35.0  | 210  | 0.0052          |
| 0.0083        | 36.0  | 216  | 0.0050          |
| 0.0086        | 37.0  | 222  | 0.0048          |
| 0.0075        | 38.0  | 228  | 0.0048          |
| 0.0075        | 39.0  | 234  | 0.0047          |
| 0.0073        | 40.0  | 240  | 0.0047          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2