---
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: 1.4131

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3688        | 1.0   | 6    | 2.7446          |
| 2.3519        | 2.0   | 12   | 2.0185          |
| 1.8781        | 3.0   | 18   | 1.7058          |
| 1.6266        | 4.0   | 24   | 1.6304          |
| 1.614         | 5.0   | 30   | 1.5637          |
| 1.6233        | 6.0   | 36   | 1.5529          |
| 1.5566        | 7.0   | 42   | 1.5884          |
| 1.5389        | 8.0   | 48   | 1.5444          |
| 1.5121        | 9.0   | 54   | 1.5489          |
| 1.5376        | 10.0  | 60   | 1.5411          |
| 1.532         | 11.0  | 66   | 1.5396          |
| 1.5576        | 12.0  | 72   | 1.5405          |
| 1.5914        | 13.0  | 78   | 1.5442          |
| 1.5226        | 14.0  | 84   | 1.5356          |
| 1.5129        | 15.0  | 90   | 1.5327          |
| 1.5037        | 16.0  | 96   | 1.5333          |
| 1.5191        | 17.0  | 102  | 1.5379          |
| 1.4822        | 18.0  | 108  | 1.5329          |
| 1.5205        | 19.0  | 114  | 1.5272          |
| 1.6166        | 20.0  | 120  | 1.5257          |
| 1.5019        | 21.0  | 126  | 1.5286          |
| 1.5512        | 22.0  | 132  | 1.5284          |
| 1.5532        | 23.0  | 138  | 1.5302          |
| 1.5016        | 24.0  | 144  | 1.5287          |
| 1.4958        | 25.0  | 150  | 1.5302          |
| 1.4917        | 26.0  | 156  | 1.5260          |
| 1.5           | 27.0  | 162  | 1.5249          |
| 1.5572        | 28.0  | 168  | 1.5272          |
| 1.5552        | 29.0  | 174  | 1.5259          |
| 1.545         | 30.0  | 180  | 1.5121          |
| 1.519         | 31.0  | 186  | 1.5229          |
| 1.5074        | 32.0  | 192  | 1.5117          |
| 1.4766        | 33.0  | 198  | 1.4902          |
| 1.4597        | 34.0  | 204  | 1.4815          |
| 1.4488        | 35.0  | 210  | 1.4592          |
| 1.4401        | 36.0  | 216  | 1.4433          |
| 1.4376        | 37.0  | 222  | 1.4322          |
| 1.3936        | 38.0  | 228  | 1.4231          |
| 1.4553        | 39.0  | 234  | 1.4220          |
| 1.4191        | 40.0  | 240  | 1.4131          |


### Framework versions

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