---
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: 0.1653

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 3.0109        | 1.0   | 6    | 2.2927          |
| 2.0615        | 2.0   | 12   | 1.7747          |
| 1.6032        | 3.0   | 18   | 1.3800          |
| 1.2593        | 4.0   | 24   | 1.1547          |
| 1.0716        | 5.0   | 30   | 0.9624          |
| 0.9082        | 6.0   | 36   | 0.8484          |
| 0.8499        | 7.0   | 42   | 0.7745          |
| 0.7568        | 8.0   | 48   | 0.7185          |
| 0.697         | 9.0   | 54   | 0.6622          |
| 0.6241        | 10.0  | 60   | 0.6027          |
| 0.5987        | 11.0  | 66   | 0.6118          |
| 0.5967        | 12.0  | 72   | 0.5614          |
| 0.5571        | 13.0  | 78   | 0.5211          |
| 0.5126        | 14.0  | 84   | 0.4899          |
| 0.4919        | 15.0  | 90   | 0.4756          |
| 0.4617        | 16.0  | 96   | 0.4457          |
| 0.4471        | 17.0  | 102  | 0.4410          |
| 0.4298        | 18.0  | 108  | 0.4136          |
| 0.4146        | 19.0  | 114  | 0.4060          |
| 0.395         | 20.0  | 120  | 0.3893          |
| 0.3749        | 21.0  | 126  | 0.3975          |
| 0.3747        | 22.0  | 132  | 0.3598          |
| 0.3559        | 23.0  | 138  | 0.3660          |
| 0.3465        | 24.0  | 144  | 0.3253          |
| 0.3257        | 25.0  | 150  | 0.3112          |
| 0.3085        | 26.0  | 156  | 0.2785          |
| 0.292         | 27.0  | 162  | 0.2639          |
| 0.2807        | 28.0  | 168  | 0.2507          |
| 0.2689        | 29.0  | 174  | 0.2342          |
| 0.2526        | 30.0  | 180  | 0.2241          |
| 0.2424        | 31.0  | 186  | 0.2149          |
| 0.2293        | 32.0  | 192  | 0.2103          |
| 0.2175        | 33.0  | 198  | 0.1970          |
| 0.2189        | 34.0  | 204  | 0.1867          |
| 0.2092        | 35.0  | 210  | 0.1831          |
| 0.199         | 36.0  | 216  | 0.1837          |
| 0.2095        | 37.0  | 222  | 0.1739          |
| 0.1912        | 38.0  | 228  | 0.1707          |
| 0.188         | 39.0  | 234  | 0.1671          |
| 0.1855        | 40.0  | 240  | 0.1653          |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2