---
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: 0.0886

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9371        | 1.0   | 6    | 2.2809          |
| 2.0329        | 2.0   | 12   | 1.7417          |
| 1.5558        | 3.0   | 18   | 1.3281          |
| 1.2296        | 4.0   | 24   | 1.1153          |
| 1.0568        | 5.0   | 30   | 0.9804          |
| 0.935         | 6.0   | 36   | 0.8776          |
| 0.8432        | 7.0   | 42   | 0.7807          |
| 0.7598        | 8.0   | 48   | 0.7081          |
| 0.6977        | 9.0   | 54   | 0.6922          |
| 0.6587        | 10.0  | 60   | 0.6535          |
| 0.6083        | 11.0  | 66   | 0.5866          |
| 0.5913        | 12.0  | 72   | 0.5483          |
| 0.5361        | 13.0  | 78   | 0.4847          |
| 0.4944        | 14.0  | 84   | 0.4919          |
| 0.4768        | 15.0  | 90   | 0.4696          |
| 0.4375        | 16.0  | 96   | 0.4223          |
| 0.4205        | 17.0  | 102  | 0.3673          |
| 0.379         | 18.0  | 108  | 0.3210          |
| 0.3334        | 19.0  | 114  | 0.2762          |
| 0.3065        | 20.0  | 120  | 0.2556          |
| 0.2759        | 21.0  | 126  | 0.2456          |
| 0.2589        | 22.0  | 132  | 0.2186          |
| 0.2374        | 23.0  | 138  | 0.2009          |
| 0.2248        | 24.0  | 144  | 0.1943          |
| 0.2182        | 25.0  | 150  | 0.1972          |
| 0.2181        | 26.0  | 156  | 0.1695          |
| 0.1999        | 27.0  | 162  | 0.1829          |
| 0.2048        | 28.0  | 168  | 0.1786          |
| 0.1865        | 29.0  | 174  | 0.1371          |
| 0.1667        | 30.0  | 180  | 0.1323          |
| 0.161         | 31.0  | 186  | 0.1301          |
| 0.1442        | 32.0  | 192  | 0.1162          |
| 0.1365        | 33.0  | 198  | 0.1111          |
| 0.1298        | 34.0  | 204  | 0.1054          |
| 0.1295        | 35.0  | 210  | 0.1001          |
| 0.1223        | 36.0  | 216  | 0.0974          |
| 0.1222        | 37.0  | 222  | 0.0939          |
| 0.1227        | 38.0  | 228  | 0.0921          |
| 0.1198        | 39.0  | 234  | 0.0895          |
| 0.1139        | 40.0  | 240  | 0.0886          |


### Framework versions

- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2