---
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: 0.1675

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9654        | 1.0   | 6    | 2.2731          |
| 2.0238        | 2.0   | 12   | 1.7268          |
| 1.5275        | 3.0   | 18   | 1.2838          |
| 1.187         | 4.0   | 24   | 1.0874          |
| 1.0242        | 5.0   | 30   | 0.9517          |
| 0.9122        | 6.0   | 36   | 0.8367          |
| 0.8028        | 7.0   | 42   | 0.8002          |
| 0.762         | 8.0   | 48   | 0.7533          |
| 0.6956        | 9.0   | 54   | 0.6658          |
| 0.6503        | 10.0  | 60   | 0.6102          |
| 0.6071        | 11.0  | 66   | 0.5720          |
| 0.5785        | 12.0  | 72   | 0.5378          |
| 0.5367        | 13.0  | 78   | 0.5026          |
| 0.5118        | 14.0  | 84   | 0.5035          |
| 0.4987        | 15.0  | 90   | 0.4639          |
| 0.4704        | 16.0  | 96   | 0.4410          |
| 0.441         | 17.0  | 102  | 0.4364          |
| 0.4407        | 18.0  | 108  | 0.4112          |
| 0.4173        | 19.0  | 114  | 0.3852          |
| 0.4001        | 20.0  | 120  | 0.3590          |
| 0.3669        | 21.0  | 126  | 0.3375          |
| 0.3402        | 22.0  | 132  | 0.3207          |
| 0.3276        | 23.0  | 138  | 0.3187          |
| 0.3205        | 24.0  | 144  | 0.2961          |
| 0.2985        | 25.0  | 150  | 0.2673          |
| 0.2897        | 26.0  | 156  | 0.2524          |
| 0.2611        | 27.0  | 162  | 0.2408          |
| 0.2597        | 28.0  | 168  | 0.2408          |
| 0.2523        | 29.0  | 174  | 0.2277          |
| 0.2385        | 30.0  | 180  | 0.2111          |
| 0.2269        | 31.0  | 186  | 0.2068          |
| 0.2272        | 32.0  | 192  | 0.2047          |
| 0.2174        | 33.0  | 198  | 0.1927          |
| 0.2097        | 34.0  | 204  | 0.1848          |
| 0.1966        | 35.0  | 210  | 0.1817          |
| 0.1894        | 36.0  | 216  | 0.1768          |
| 0.1939        | 37.0  | 222  | 0.1760          |
| 0.1884        | 38.0  | 228  | 0.1701          |
| 0.1863        | 39.0  | 234  | 0.1683          |
| 0.1824        | 40.0  | 240  | 0.1675          |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2