---
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: 0.6281

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.3788        | 1.0   | 6    | 2.7190          |
| 2.3329        | 2.0   | 12   | 1.9212          |
| 1.7962        | 3.0   | 18   | 1.6430          |
| 1.5944        | 4.0   | 24   | 1.5778          |
| 1.5824        | 5.0   | 30   | 1.5569          |
| 1.5513        | 6.0   | 36   | 1.5152          |
| 1.5044        | 7.0   | 42   | 1.5108          |
| 1.4601        | 8.0   | 48   | 1.4058          |
| 1.3676        | 9.0   | 54   | 1.3091          |
| 1.3608        | 10.0  | 60   | 1.3141          |
| 1.2438        | 11.0  | 66   | 1.1829          |
| 1.1594        | 12.0  | 72   | 1.1139          |
| 1.0901        | 13.0  | 78   | 1.0550          |
| 1.1289        | 14.0  | 84   | 1.1184          |
| 1.1028        | 15.0  | 90   | 0.9935          |
| 0.9901        | 16.0  | 96   | 1.1129          |
| 1.0213        | 17.0  | 102  | 0.9731          |
| 0.9919        | 18.0  | 108  | 0.9129          |
| 0.9487        | 19.0  | 114  | 0.9160          |
| 0.9437        | 20.0  | 120  | 0.8889          |
| 0.8907        | 21.0  | 126  | 0.8633          |
| 0.8628        | 22.0  | 132  | 0.8779          |
| 0.8722        | 23.0  | 138  | 0.8225          |
| 0.8261        | 24.0  | 144  | 0.8049          |
| 0.823         | 25.0  | 150  | 0.8250          |
| 0.8272        | 26.0  | 156  | 0.8704          |
| 0.8194        | 27.0  | 162  | 0.7511          |
| 0.7772        | 28.0  | 168  | 0.7401          |
| 0.7539        | 29.0  | 174  | 0.7332          |
| 0.7464        | 30.0  | 180  | 0.7092          |
| 0.7485        | 31.0  | 186  | 0.6996          |
| 0.7214        | 32.0  | 192  | 0.6817          |
| 0.6968        | 33.0  | 198  | 0.6742          |
| 0.6903        | 34.0  | 204  | 0.6703          |
| 0.6846        | 35.0  | 210  | 0.6723          |
| 0.6845        | 36.0  | 216  | 0.6492          |
| 0.6784        | 37.0  | 222  | 0.6416          |
| 0.672         | 38.0  | 228  | 0.6367          |
| 0.6639        | 39.0  | 234  | 0.6306          |
| 0.6682        | 40.0  | 240  | 0.6281          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2