---
base_model: Kielak2/calculator_model_test
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 [Kielak2/calculator_model_test](https://huggingface.co/Kielak2/calculator_model_test) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1439

## 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: 64
- eval_batch_size: 64
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 40
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.3404        | 1.0   | 41   | 0.9112          |
| 1.0195        | 2.0   | 82   | 1.0749          |
| 0.9524        | 3.0   | 123  | 0.9697          |
| 0.8765        | 4.0   | 164  | 0.7983          |
| 0.8274        | 5.0   | 205  | 0.9082          |
| 0.7727        | 6.0   | 246  | 0.7641          |
| 1.3801        | 7.0   | 287  | 0.7807          |
| 0.7733        | 8.0   | 328  | 0.8173          |
| 0.7062        | 9.0   | 369  | 0.6003          |
| 0.6671        | 10.0  | 410  | 0.7683          |
| 0.6935        | 11.0  | 451  | 0.6048          |
| 0.6598        | 12.0  | 492  | 0.6386          |
| 0.6553        | 13.0  | 533  | 0.5399          |
| 0.6033        | 14.0  | 574  | 0.5085          |
| 0.5972        | 15.0  | 615  | 0.5428          |
| 0.5928        | 16.0  | 656  | 0.5449          |
| 0.6432        | 17.0  | 697  | 0.5153          |
| 0.5887        | 18.0  | 738  | 0.4591          |
| 0.5011        | 19.0  | 779  | 0.4463          |
| 0.5117        | 20.0  | 820  | 0.4133          |
| 0.4846        | 21.0  | 861  | 0.5346          |
| 0.4815        | 22.0  | 902  | 0.3905          |
| 0.4375        | 23.0  | 943  | 0.3758          |
| 0.4313        | 24.0  | 984  | 0.3518          |
| 0.4049        | 25.0  | 1025 | 0.3904          |
| 0.4028        | 26.0  | 1066 | 0.2871          |
| 0.3749        | 27.0  | 1107 | 0.3456          |
| 0.3682        | 28.0  | 1148 | 0.3105          |
| 0.3442        | 29.0  | 1189 | 0.2684          |
| 0.3515        | 30.0  | 1230 | 0.2455          |
| 0.3199        | 31.0  | 1271 | 0.2793          |
| 0.3196        | 32.0  | 1312 | 0.2236          |
| 0.3139        | 33.0  | 1353 | 0.2613          |
| 0.2875        | 34.0  | 1394 | 0.2020          |
| 0.2639        | 35.0  | 1435 | 0.1783          |
| 0.261         | 36.0  | 1476 | 0.1987          |
| 0.2455        | 37.0  | 1517 | 0.1795          |
| 0.2355        | 38.0  | 1558 | 0.1632          |
| 0.228         | 39.0  | 1599 | 0.1480          |
| 0.2177        | 40.0  | 1640 | 0.1439          |


### Framework versions

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