---
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: 0.7491

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.415         | 1.0   | 6    | 2.7963          |
| 2.4074        | 2.0   | 12   | 1.9768          |
| 1.8076        | 3.0   | 18   | 1.6975          |
| 1.631         | 4.0   | 24   | 1.6085          |
| 1.557         | 5.0   | 30   | 1.5766          |
| 1.572         | 6.0   | 36   | 1.5571          |
| 1.5449        | 7.0   | 42   | 1.5249          |
| 1.4936        | 8.0   | 48   | 1.5404          |
| 1.5192        | 9.0   | 54   | 1.4919          |
| 1.4605        | 10.0  | 60   | 1.4851          |
| 1.4553        | 11.0  | 66   | 1.4590          |
| 1.4292        | 12.0  | 72   | 1.4652          |
| 1.4121        | 13.0  | 78   | 1.4307          |
| 1.3945        | 14.0  | 84   | 1.3903          |
| 1.3656        | 15.0  | 90   | 1.3513          |
| 1.323         | 16.0  | 96   | 1.3290          |
| 1.2754        | 17.0  | 102  | 1.3396          |
| 1.2643        | 18.0  | 108  | 1.2157          |
| 1.1926        | 19.0  | 114  | 1.1660          |
| 1.1646        | 20.0  | 120  | 1.0959          |
| 1.1272        | 21.0  | 126  | 1.0731          |
| 1.0866        | 22.0  | 132  | 1.0264          |
| 1.0795        | 23.0  | 138  | 1.0202          |
| 1.0375        | 24.0  | 144  | 1.0136          |
| 1.0369        | 25.0  | 150  | 0.9635          |
| 1.0076        | 26.0  | 156  | 0.9510          |
| 0.9793        | 27.0  | 162  | 0.9585          |
| 0.9608        | 28.0  | 168  | 0.8828          |
| 0.9239        | 29.0  | 174  | 0.8845          |
| 0.9138        | 30.0  | 180  | 0.8512          |
| 0.9076        | 31.0  | 186  | 0.8600          |
| 0.8815        | 32.0  | 192  | 0.8543          |
| 0.8953        | 33.0  | 198  | 0.8376          |
| 0.8682        | 34.0  | 204  | 0.7939          |
| 0.8365        | 35.0  | 210  | 0.7926          |
| 0.8287        | 36.0  | 216  | 0.7876          |
| 0.8226        | 37.0  | 222  | 0.7683          |
| 0.812         | 38.0  | 228  | 0.7613          |
| 0.8063        | 39.0  | 234  | 0.7507          |
| 0.7875        | 40.0  | 240  | 0.7491          |


### Framework versions

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