---
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: 0.8846

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.7375        | 1.0   | 14   | 2.8446          |
| 2.5309        | 2.0   | 28   | 2.3889          |
| 2.3406        | 3.0   | 42   | 2.3073          |
| 2.2691        | 4.0   | 56   | 2.2098          |
| 2.1412        | 5.0   | 70   | 2.0464          |
| 1.9372        | 6.0   | 84   | 1.7744          |
| 1.6761        | 7.0   | 98   | 1.5399          |
| 1.4725        | 8.0   | 112  | 1.3886          |
| 1.368         | 9.0   | 126  | 1.3246          |
| 1.33          | 10.0  | 140  | 1.3355          |
| 1.3119        | 11.0  | 154  | 1.2886          |
| 1.2836        | 12.0  | 168  | 1.2712          |
| 1.2668        | 13.0  | 182  | 1.2703          |
| 1.2526        | 14.0  | 196  | 1.2477          |
| 1.2292        | 15.0  | 210  | 1.2339          |
| 1.203         | 16.0  | 224  | 1.1997          |
| 1.1686        | 17.0  | 238  | 1.1764          |
| 1.1308        | 18.0  | 252  | 1.1424          |
| 1.0866        | 19.0  | 266  | 1.1034          |
| 1.0355        | 20.0  | 280  | 1.0546          |
| 1.0031        | 21.0  | 294  | 1.0241          |
| 0.9608        | 22.0  | 308  | 0.9925          |
| 0.924         | 23.0  | 322  | 0.9673          |
| 0.9022        | 24.0  | 336  | 0.9555          |
| 0.8733        | 25.0  | 350  | 0.9381          |
| 0.8549        | 26.0  | 364  | 0.9394          |
| 0.8363        | 27.0  | 378  | 0.9274          |
| 0.8129        | 28.0  | 392  | 0.9211          |
| 0.7894        | 29.0  | 406  | 0.9149          |
| 0.7705        | 30.0  | 420  | 0.9042          |
| 0.7509        | 31.0  | 434  | 0.8962          |
| 0.7363        | 32.0  | 448  | 0.9003          |
| 0.7261        | 33.0  | 462  | 0.8935          |
| 0.7135        | 34.0  | 476  | 0.8923          |
| 0.6988        | 35.0  | 490  | 0.8961          |
| 0.6883        | 36.0  | 504  | 0.8883          |
| 0.6768        | 37.0  | 518  | 0.8905          |
| 0.6686        | 38.0  | 532  | 0.8885          |
| 0.6625        | 39.0  | 546  | 0.8865          |
| 0.6566        | 40.0  | 560  | 0.8846          |


### Framework versions

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