---
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: 0.0824

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9085        | 1.0   | 6    | 2.2339          |
| 1.9955        | 2.0   | 12   | 1.7507          |
| 1.5891        | 3.0   | 18   | 1.3630          |
| 1.221         | 4.0   | 24   | 1.0757          |
| 1.0321        | 5.0   | 30   | 0.9606          |
| 0.9056        | 6.0   | 36   | 0.8336          |
| 0.8119        | 7.0   | 42   | 0.7754          |
| 0.7251        | 8.0   | 48   | 0.7105          |
| 0.679         | 9.0   | 54   | 0.6689          |
| 0.6367        | 10.0  | 60   | 0.6193          |
| 0.5903        | 11.0  | 66   | 0.5498          |
| 0.5423        | 12.0  | 72   | 0.5078          |
| 0.5121        | 13.0  | 78   | 0.5079          |
| 0.4916        | 14.0  | 84   | 0.4614          |
| 0.4659        | 15.0  | 90   | 0.4271          |
| 0.4173        | 16.0  | 96   | 0.4071          |
| 0.3995        | 17.0  | 102  | 0.3885          |
| 0.3809        | 18.0  | 108  | 0.3586          |
| 0.3564        | 19.0  | 114  | 0.3231          |
| 0.3277        | 20.0  | 120  | 0.3317          |
| 0.3156        | 21.0  | 126  | 0.3146          |
| 0.3124        | 22.0  | 132  | 0.3063          |
| 0.2829        | 23.0  | 138  | 0.2604          |
| 0.2624        | 24.0  | 144  | 0.2385          |
| 0.2431        | 25.0  | 150  | 0.2421          |
| 0.23          | 26.0  | 156  | 0.1983          |
| 0.1995        | 27.0  | 162  | 0.1716          |
| 0.1857        | 28.0  | 168  | 0.1565          |
| 0.1654        | 29.0  | 174  | 0.1325          |
| 0.1477        | 30.0  | 180  | 0.1246          |
| 0.1489        | 31.0  | 186  | 0.1188          |
| 0.1352        | 32.0  | 192  | 0.1075          |
| 0.1232        | 33.0  | 198  | 0.1017          |
| 0.1205        | 34.0  | 204  | 0.0963          |
| 0.1125        | 35.0  | 210  | 0.0912          |
| 0.1149        | 36.0  | 216  | 0.0903          |
| 0.1081        | 37.0  | 222  | 0.0903          |
| 0.1069        | 38.0  | 228  | 0.0851          |
| 0.1046        | 39.0  | 234  | 0.0828          |
| 0.0996        | 40.0  | 240  | 0.0824          |


### Framework versions

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