---
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: 0.2087

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 2.9918        | 1.0   | 6    | 2.3314          |
| 2.1182        | 2.0   | 12   | 1.8298          |
| 1.6911        | 3.0   | 18   | 1.4816          |
| 1.3856        | 4.0   | 24   | 1.2456          |
| 1.1721        | 5.0   | 30   | 1.1107          |
| 1.0415        | 6.0   | 36   | 0.9727          |
| 0.9122        | 7.0   | 42   | 0.8805          |
| 0.8414        | 8.0   | 48   | 0.7747          |
| 0.7661        | 9.0   | 54   | 0.7645          |
| 0.7303        | 10.0  | 60   | 0.6846          |
| 0.683         | 11.0  | 66   | 0.6398          |
| 0.6329        | 12.0  | 72   | 0.6278          |
| 0.6155        | 13.0  | 78   | 0.5686          |
| 0.6154        | 14.0  | 84   | 0.5761          |
| 0.5568        | 15.0  | 90   | 0.5522          |
| 0.5444        | 16.0  | 96   | 0.5564          |
| 0.56          | 17.0  | 102  | 0.5432          |
| 0.5165        | 18.0  | 108  | 0.4867          |
| 0.4824        | 19.0  | 114  | 0.4501          |
| 0.4487        | 20.0  | 120  | 0.4368          |
| 0.4322        | 21.0  | 126  | 0.4188          |
| 0.4173        | 22.0  | 132  | 0.4008          |
| 0.3965        | 23.0  | 138  | 0.3789          |
| 0.3953        | 24.0  | 144  | 0.3752          |
| 0.3627        | 25.0  | 150  | 0.3527          |
| 0.3766        | 26.0  | 156  | 0.3516          |
| 0.3505        | 27.0  | 162  | 0.3362          |
| 0.3441        | 28.0  | 168  | 0.3086          |
| 0.3264        | 29.0  | 174  | 0.3030          |
| 0.3395        | 30.0  | 180  | 0.2783          |
| 0.2908        | 31.0  | 186  | 0.2727          |
| 0.2827        | 32.0  | 192  | 0.2742          |
| 0.2857        | 33.0  | 198  | 0.2503          |
| 0.2779        | 34.0  | 204  | 0.2421          |
| 0.2543        | 35.0  | 210  | 0.2257          |
| 0.2462        | 36.0  | 216  | 0.2232          |
| 0.2421        | 37.0  | 222  | 0.2173          |
| 0.2497        | 38.0  | 228  | 0.2130          |
| 0.2561        | 39.0  | 234  | 0.2095          |
| 0.2407        | 40.0  | 240  | 0.2087          |


### Framework versions

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