---
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: 0.3578

## 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: 30

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9444        | 1.0   | 6    | 2.3826          |
| 2.1543        | 2.0   | 12   | 1.8663          |
| 1.7072        | 3.0   | 18   | 1.5640          |
| 1.4261        | 4.0   | 24   | 1.3127          |
| 1.2227        | 5.0   | 30   | 1.1949          |
| 1.061         | 6.0   | 36   | 1.0322          |
| 0.9789        | 7.0   | 42   | 0.9130          |
| 0.8812        | 8.0   | 48   | 0.8633          |
| 0.8289        | 9.0   | 54   | 0.7872          |
| 0.693         | 10.0  | 60   | 0.7300          |
| 0.7416        | 11.0  | 66   | 0.7454          |
| 0.6965        | 12.0  | 72   | 0.6641          |
| 0.6592        | 13.0  | 78   | 0.6362          |
| 0.6411        | 14.0  | 84   | 0.5824          |
| 0.5677        | 15.0  | 90   | 0.5541          |
| 0.5575        | 16.0  | 96   | 0.5299          |
| 0.5305        | 17.0  | 102  | 0.5435          |
| 0.5371        | 18.0  | 108  | 0.4937          |
| 0.4795        | 19.0  | 114  | 0.4800          |
| 0.4693        | 20.0  | 120  | 0.4486          |
| 0.4836        | 21.0  | 126  | 0.4478          |
| 0.4351        | 22.0  | 132  | 0.4323          |
| 0.47          | 23.0  | 138  | 0.4131          |
| 0.414         | 24.0  | 144  | 0.4023          |
| 0.4396        | 25.0  | 150  | 0.3961          |
| 0.4079        | 26.0  | 156  | 0.3870          |
| 0.4052        | 27.0  | 162  | 0.3846          |
| 0.3914        | 28.0  | 168  | 0.3676          |
| 0.4287        | 29.0  | 174  | 0.3593          |
| 0.3583        | 30.0  | 180  | 0.3578          |


### Framework versions

- Transformers 4.38.1
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2