---
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: 0.2167

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9708        | 1.0   | 6    | 2.2532          |
| 2.0334        | 2.0   | 12   | 1.7317          |
| 1.5636        | 3.0   | 18   | 1.3306          |
| 1.2228        | 4.0   | 24   | 1.1101          |
| 1.0587        | 5.0   | 30   | 0.9678          |
| 0.9399        | 6.0   | 36   | 0.8654          |
| 0.8269        | 7.0   | 42   | 0.7420          |
| 0.7354        | 8.0   | 48   | 0.6981          |
| 0.6841        | 9.0   | 54   | 0.6609          |
| 0.6499        | 10.0  | 60   | 0.6128          |
| 0.592         | 11.0  | 66   | 0.5730          |
| 0.5651        | 12.0  | 72   | 0.5324          |
| 0.53          | 13.0  | 78   | 0.5232          |
| 0.5087        | 14.0  | 84   | 0.5066          |
| 0.5052        | 15.0  | 90   | 0.4966          |
| 0.4933        | 16.0  | 96   | 0.4476          |
| 0.4622        | 17.0  | 102  | 0.4559          |
| 0.4604        | 18.0  | 108  | 0.4520          |
| 0.4386        | 19.0  | 114  | 0.4525          |
| 0.4453        | 20.0  | 120  | 0.4345          |
| 0.4293        | 21.0  | 126  | 0.3955          |
| 0.3904        | 22.0  | 132  | 0.3695          |
| 0.3793        | 23.0  | 138  | 0.3614          |
| 0.3648        | 24.0  | 144  | 0.3463          |
| 0.3471        | 25.0  | 150  | 0.3247          |
| 0.3391        | 26.0  | 156  | 0.3100          |
| 0.3084        | 27.0  | 162  | 0.2981          |
| 0.3188        | 28.0  | 168  | 0.2901          |
| 0.3074        | 29.0  | 174  | 0.2791          |
| 0.2847        | 30.0  | 180  | 0.2832          |
| 0.2832        | 31.0  | 186  | 0.2637          |
| 0.2762        | 32.0  | 192  | 0.2596          |
| 0.2928        | 33.0  | 198  | 0.2487          |
| 0.2759        | 34.0  | 204  | 0.2408          |
| 0.2634        | 35.0  | 210  | 0.2334          |
| 0.2585        | 36.0  | 216  | 0.2270          |
| 0.2444        | 37.0  | 222  | 0.2227          |
| 0.2394        | 38.0  | 228  | 0.2183          |
| 0.2376        | 39.0  | 234  | 0.2174          |
| 0.2394        | 40.0  | 240  | 0.2167          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2